Wireless communication method and communication device

Abstract

The present application provides a wireless communication method and a communication device. The method comprises: a first device sends a target signal to a second device on a target transmission resource, wherein the target signal comprises a first signal and a second signal that are non-orthogonally transmitted. Embodiments of the present application provide a wireless communication method. In the method, a first signal and a second signal are non-orthogonally transmitted on the same transmission resource (also referred to as a "target transmission resource"), and compared with the traditional signal transmission scheme in which a first signal and a second signal are orthogonally transmitted on different transmission resources, the present application improves the utilization rate of transmission resources.

Description

Wireless communication method and communication device Technical Field

[0001] The present application relates to the field of communication technology, and more specifically, to a wireless communication method and communication device. Background Art

[0002] Currently, in known communication systems, if multiple different signals need to be transmitted, these signals are transmitted in an orthogonal manner using different transmission resources. This means that a given transmission resource can only be used to transmit one signal at a time, resulting in low transmission resource utilization. On the other hand, given a fixed total number of transmission resources, if the number of transmission resources occupied by a first signal increases, this means that the number of transmission resources available for transmitting a second signal decreases, potentially preventing the second signal from being transmitted in a timely manner. Alternatively, if the number of transmission resources occupied by a second signal increases, this means that the number of transmission resources available for transmitting the first signal decreases, potentially preventing the first signal from being transmitted in a timely manner.

[0003] Summary of the Invention

[0004] The present application provides a wireless communication method and a communication device. The following introduces various aspects of the present application.

[0005] In a first aspect, a method for wireless communication is provided, comprising: a first device sending a target signal to a second device on a target transmission resource, wherein the target signal includes a first signal and a second signal transmitted in a non-orthogonal manner.

[0006] In a second aspect, a method for wireless communication is provided, comprising: a second device receiving a target signal sent by a first device on a target transmission resource, wherein the target signal comprises a first signal and a second signal transmitted in a non-orthogonal manner.

[0007] According to a third aspect, a communication device is provided, which is a first device and includes: a sending unit, which sends a target signal to a second device on a target transmission resource, wherein the target signal includes a first signal and a second signal of non-orthogonal transmission.

[0008] In a fourth aspect, a communication device is provided, comprising a processor, a memory, and a communication interface, wherein the memory is used to store one or more computer programs, and the processor is used to call the computer program in the memory so that the communication device executes some or all of the steps in the methods of the above aspects.

[0009] In an eighth aspect, an embodiment of the present application provides a communication system, which includes the above-mentioned terminal device and / or network device. In another possible design, the system may also include other devices that interact with the terminal device or network device in the solution provided in the embodiment of the present application.

[0010] In a ninth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program, and the computer program enables a communication device (for example, a terminal device or a network device) to execute some or all of the steps in the methods of the above aspects.

[0011] In a tenth aspect, embodiments of the present application provide a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, wherein the computer program is operable to cause a communication device (e.g., a terminal device or a network device) to perform some or all of the steps of the methods described in each of the above aspects. In some implementations, the computer program product can be a software installation package.

[0012] In the eleventh aspect, an embodiment of the present application provides a chip, which includes a memory and a processor. The processor can call and run a computer program from the memory to implement some or all of the steps described in the methods of the above aspects.

[0013] An embodiment of the present application provides a method for wireless communication, in which a first signal and a second signal can be non-orthogonally transmitted on the same transmission resource (also called a "target transmission resource"). Compared with the traditional signal transmission scheme in which the first signal and the second signal occupy different transmission resources for transmission in an orthogonal manner, this method helps to improve the utilization of transmission resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] FIG1 is a wireless communication system 100 used in an embodiment of the present application.

[0015] FIG2 is a schematic diagram of channel estimation and signal recovery applicable to an embodiment of the present application.

[0016] FIG3 shows patterns of data symbols and pilot symbols under different configurations.

[0017] FIG4 shows a neural network model applicable to an embodiment of the present application.

[0018] FIG5 shows a neural network model applicable to an embodiment of the present application.

[0019] FIG6 shows a convolutional neural network applicable to an embodiment of the present application.

[0020] FIG7 shows a long short-term memory (LSTM) model applicable to an embodiment of the present application.

[0021] FIG8 shows a process of performing channel estimation based on a channel estimation module.

[0022] FIG9 is a wireless communication system 900 to which an embodiment of the present application is applicable.

[0023] FIG10 is a schematic flowchart of a wireless communication method according to an embodiment of the present application.

[0024] FIG11 shows a transmission method of the first signal and the second signal in an embodiment of the present application.

[0025] FIG12 shows a transmission method of the second signal and the first signal in another embodiment of the present application.

[0026] FIG13 shows a solution for transmitting a first signal and a second signal based on a linear superposition method provided in an embodiment of the present application.

[0027] FIG14 is a schematic diagram of adjusting the modulation constellation points associated with the second signal in an embodiment of the present application.

[0028] 15 to 24 are schematic diagrams of superimposing the first signal and the second signal in an embodiment of the present application.

[0029] 25 to 58 are schematic diagrams of the first parameter setting method in an embodiment of the present application.

[0030] Figures 59 to 66 are schematic diagrams of signal receiving schemes in embodiments of the present application.

[0031] Figure 67 is a schematic diagram of the training process of an embodiment of the present application.

[0032] Figure 68 is a schematic diagram of a communication device in an embodiment of the present application.

[0033] Figure 69 is a schematic diagram of a communication device in another embodiment of the present application.

[0034] Figure 70 is a schematic diagram of a device according to an embodiment of the present application. DETAILED DESCRIPTION

[0035] The technical solutions in this application will be described below in conjunction with the accompanying drawings. To facilitate understanding of this application, the following first introduces the terms and communication processes involved in the embodiments of this application in conjunction with Figures 1 to 9.

[0036] 1. Signal Transmission Process in Wireless Communication Systems

[0037] Figure 1 is a flow chart of signal transmission in a wireless communication system to which an embodiment of the present application applies. As shown in Figure 1 , the signal transmission process in the wireless communication system can be roughly divided into the various signal processing processes S111 to S118 shown in Figure 1 . Some or all of the signal processing processes shown in Figure 1 can be implemented by a separate AI model. For specific implementation, please refer to the descriptions of Figures 5 to 8 .

[0038] In the channel coding process S111, the transmitter performs channel coding on the information to be transmitted to obtain a coded code stream. The information to be transmitted may be in the form of a bit stream.

[0039] In the modulation process S112 , the code stream is modulated into modulation symbols.

[0040] In the pilot insertion process S113, pilot symbols are inserted into the modulation symbols to form a signal to be transmitted, wherein the pilot symbols can be used by a receiver to perform channel estimation and symbol detection.

[0041] In the transmission signal S114, the above signal is carried on the channel and transmitted to the receiver. In the process of transmitting the signal through the channel, noise is usually superimposed.

[0042] In the channel estimation process S115, the receiver can perform channel estimation based on the pilot signal to obtain channel state information (CSI), and feed the CSI back to the transmitter through a feedback link for the transmitter to adjust channel coding, modulation, precoding, etc.

[0043] In the symbol detection process S116, symbol detection is performed on the received modulation symbols to obtain a detection result.

[0044] In the demodulation process S117, the received modulation symbols are demodulated based on the detection result to obtain a code stream.

[0045] In the channel decoding process S118, the code stream is decoded to obtain restored information, wherein the restored information may be in the form of a bit stream.

[0046] It should be understood that the signal processing processes S111 to S118 shown in Figure 1 are merely examples of common signal processing processes in wireless communication systems. Wireless communication systems may also include signal processing processes such as resource mapping, precoding, interference cancellation, and CSI measurement. These signal processing processes can also be implemented through separate AI models. For the sake of brevity, this application will not go into detail.

[0047] 2. Channel Estimation

[0048] Due to the complexity and time-varying nature of wireless channel environments, in wireless communication systems (e.g., the wireless communication systems described above), a receiver needs to recover received signals based on channel estimation results. Figure 2 is a schematic diagram of channel estimation and signal recovery applicable to embodiments of the present application.

[0049] As shown in FIG2 , in step S210 , the transmitter transmits, in addition to the data signal, a series of pilot signals known to the receiver on the time-frequency resources, such as the channel state information-reference signal (CSI-RS) and the demodulation reference signal (DMRS).

[0050] In step S211, the transmitter transmits the above data signal and pilot signal to the transmitter through the channel.

[0051] The time-frequency resources occupied by the pilot signal are different from the time-frequency resources occupied by the data signal.

[0052] In step S212, after receiving the pilot signal, the receiver may perform channel estimation. In one possible implementation, the receiver may estimate channel information of the channel transmitting the pilot signal based on the pre-stored pilot signal and the received pilot signal using a channel estimation algorithm (e.g., a least squares (LS) channel estimation method).

[0053] In step S213, the receiver may recover the channel information on all time-frequency resources using an interpolation algorithm based on the channel information of the channel transmitting the pilot sequence, for use in subsequent CSI feedback or data recovery.

[0054] Based on the above description in conjunction with Figure 2, it can be seen that the time-frequency resources for transmitting pilot signals are different from the time-frequency resources for transmitting data signals. In addition, some communication protocols (for example, the NR communication protocol) stipulate that the symbols used to transmit pilot signals (hereinafter referred to as "pilot symbols") and the symbols used to transmit data signals (hereinafter referred to as "data symbols") are different. Figure 3 shows the patterns of data symbols and pilot symbols under different configurations.

[0055] As shown in Figure 3(a), within an RB, pilot symbols are distributed every other symbol across multiple REs corresponding to symbol 2 within the RB. As shown in Figure 3(b), within an RB, pilot symbols occupy some of the multiple symbols corresponding to symbols 2 and 10 within the RB. As shown in Figure 3(c), within an RB, pilot symbols occupy multiple groups of REs within symbol 2 within the RB, where each group of REs includes two consecutive REs in the frequency domain.

[0056] Generally, different patterns in the patterns shown in Figures 3(a) to 3(c) can be adapted to different communication environments. In some implementations, when the terminal device is moving at a high speed and the channel characteristics vary rapidly, a pattern with a denser distribution of pilot symbols can be selected to help improve the accuracy of channel quality estimation for the entire RB. For example, the pattern shown in Figure 3(b) can be selected.

[0057] In other implementations, when the terminal device moves slowly and the channel characteristics vary slowly over time, a pattern with a sparser distribution of pilot symbols can be selected, which helps to reduce the overhead generated by transmitting pilot signals while ensuring the accuracy of channel quality estimation for the entire RB.

[0058] 3. Neural Network

[0059] In recent years, artificial intelligence research, exemplified by neural networks, has achieved remarkable success in many fields, and will continue to play a vital role in people's lives and production for a long time to come. A neural network can be understood as a computational model consisting of multiple interconnected neuron nodes. The connections between these nodes represent the weighted values ​​from input signals to output signals, often referred to as parameters. Each node performs a weighted summation of different input signals and outputs the result through a specific activation function.

[0060] As shown in Figure 4, neurons can rely on activation functions to implement nonlinear mapping, where the input of the neuron can be recorded as A, and each dimension of the input is recorded as a j , the corresponding parameter is recorded as w j , together with the summation units (SU), the input is strengthened or weakened. In addition, the output of SU can be input into the activation function f to obtain the output t, where the value of j is 1, 2, ..., n.

[0061] Common neural networks include convolutional neural network (CNN), recurrent neural network (RNN), deep neural network (DNN), etc.

[0062] The following describes a neural network applicable to embodiments of the present application in conjunction with FIG5 . The neural network shown in FIG5 can be divided into three categories based on the location of different layers: input layer 510 , hidden layer 520 , and output layer 530 . Generally speaking, the first layer is the input layer 510 , the last layer is the output layer 530 , and the intermediate layers between the first and last layers are all hidden layers 520 .

[0063] The input layer 510 is used to input data, where the input data can be, for example, a received signal received by a receiver. The hidden layer 520 is used to process the input data, for example, decompress the received signal. The output layer 530 is used to output processed output data, for example, a decompressed signal.

[0064] As shown in Figure 5, a neural network consists of multiple layers, each of which contains multiple neurons. The neurons between layers can be fully connected or partially connected. For connected neurons, the output of the neurons in the previous layer can serve as the input of the neurons in the next layer.

[0065] With the continuous advancement of neural network research, deep learning algorithms have been proposed in recent years. These algorithms introduce a large number of hidden layers into neural networks, forming DNNs. More hidden layers allow DNNs to better capture complex real-world situations. Theoretically, a model with more parameters has higher complexity and a greater "capacity," meaning it can handle more complex learning tasks. These neural network models are widely used in pattern recognition, signal processing, optimization and combination, anomaly detection, and other fields.

[0066] CNN is a deep neural network with a convolutional structure, and its structure is shown in FIG6 , which may include an input layer 610 , a convolutional layer 620 , a pooling layer 630 , a fully connected layer 640 , and an output layer 650 .

[0067] Each convolution layer 620 may include a plurality of convolution operators, which are also called kernels. The convolution operator can be regarded as a filter for extracting specific information from the input signal. The convolution operator can essentially be a parameter matrix, which is usually predefined.

[0068] The parameter values ​​in these parameter matrices need to be obtained through a lot of training in practical applications. The parameter matrices formed by the parameter values ​​obtained through training can extract information from the input signal, thereby helping CNN to make correct predictions.

[0069] When CNN has multiple convolutional layers, the initial convolutional layer tends to extract more general features, which can also be called low-level features. As the depth of CNN increases, the features extracted by the subsequent convolutional layers become more and more complex.

[0070] Pooling layer 630 is often needed to reduce the number of training parameters. Therefore, it is often necessary to periodically introduce a pooling layer after the convolution layer. For example, as shown in Figure 6, a convolution layer can be followed by a pooling layer, or multiple convolution layers can be followed by one or more pooling layers. In the signal processing process, the sole purpose of the pooling layer is to reduce the spatial size of the extracted information.

[0071] The fully connected layer 640, after being processed by the convolution layer 620 and the pooling layer 630, is not sufficient for CNN to output the required output information. Because as mentioned above, the convolution layer 620 and the pooling layer 630 only extract features and reduce the parameters brought by the input data. However, in order to generate the final output information (for example, the bit stream of the original information transmitted by the transmitter), CNN also needs to use the fully connected layer 640. Generally, the fully connected layer 640 may include multiple hidden layers, and the parameters contained in the multiple hidden layers may be pre-trained based on relevant training data of a specific task type. For example, the task type may include decoding a data signal received by a receiver. For another example, the task type may also include channel estimation based on a pilot signal received by the receiver.

[0072] Following the multiple hidden layers in the fully connected layer 640, the final layer of the CNN is the output layer 650, which is used to output the results. Typically, this output layer 650 is configured with a loss function (e.g., a loss function similar to categorical cross entropy) to calculate the prediction error, or to evaluate the degree of difference between the CNN model's output (also known as the predicted value) and the ideal result (also known as the true value).

[0073] To minimize the loss function, the CNN model needs to be trained. In some implementations, the CNN model can be trained using a backpropagation algorithm (BP). The BP training process consists of a forward propagation process and a backward propagation process. During the forward propagation process (e.g., the propagation from 610 to 650 in Figure 6 is forward propagation), the input data is fed into the aforementioned layers of the CNN model, processed layer by layer, and transmitted to the output layer. If the output result differs significantly from the ideal result, the aforementioned loss function is minimized as the optimization goal, and the backward propagation process is switched to (e.g., the propagation from 650 to 610 in Figure 6 is backward propagation). The partial derivatives of the optimization goal with respect to each neuron weight are calculated layer by layer, forming the gradient of the optimization goal with respect to the weight vector, which serves as the basis for modifying the model parameters. The CNN training process is completed during the parameter modification process. When the aforementioned error reaches the desired value, the CNN training process ends.

[0074] It should be noted that the CNN shown in Figure 6 is only an example of a convolutional neural network. In specific applications, the convolutional neural network can also exist in the form of other network models, which is not limited in this embodiment of the present application.

[0075] RNNs are designed to process sequential data. In traditional neural network models (for example, CNN models), the layers are fully connected, from the input layer to the hidden layer to the output layer, and the nodes within each layer are disconnected. However, these ordinary neural networks are inadequate for many problems. For example, if you want to predict the next word in a sentence, you generally need to use the previous word, because the previous and next words in a sentence are not independent. RNNs are called recurrent neural networks because the current output of a sequence is also related to the previous output. Specifically, the network remembers the previous information and applies it to the calculation of the current output. That is, the nodes between hidden layers are no longer disconnected but connected, and the input of the hidden layer includes not only the output of the input layer but also the output of the hidden layer at the previous moment. In theory, RNNs can process sequence data of any length.

[0076] Training an RNN is similar to training a traditional ANN (artificial neural network). The same backpropagation error algorithm is used, but there is a slight difference. If the RNN is expanded, the parameters W, U, and V are shared, while traditional neural networks are not. Furthermore, when using the gradient descent algorithm, the output of each step depends not only on the network state at the current step, but also on the state of the network at the previous steps. For example, at t = 4, three steps need to be propagated backward, and various gradients need to be added to the three subsequent steps. This learning algorithm is called backpropagation through time (BPTT).

[0077] Given the existence of artificial neural networks and convolutional neural networks, why do we still need recurrent neural networks? The reason is simple. Both convolutional and artificial neural networks assume that elements are independent of each other, and that input and output are also independent, like cats and dogs. However, in the real world, many elements are interconnected, such as the changes in stock prices over time. For example, someone said, "I love traveling, and my favorite place is Yunnan. I must visit __ someday." Everyone knows to fill in the blank with "Yunnan." This is because we infer this based on the context, but achieving this is quite difficult. Therefore, recurrent neural networks were developed. Their essence is that they possess memory, just like humans. Therefore, their output depends on the current input and memory. To put it simply, an RNN is a unit structure that is reused.

[0078] At present, in order to solve the gradient explosion or vanishing problem of RNN, a long short-term memory (LSTM) model is obtained by transforming RNN. As shown in Figure 7, LSTM introduces a new memory unit ct (also called "cell state"), which is used for linear cyclic information transmission and outputs information to the external state h of the hidden layer. t At each moment t, c t It records historical information up to the current moment. Unlike RNNs, which only consider the most recent state, memory cells determine which states should be retained and which should be forgotten, addressing the shortcomings of traditional RNNs in long-term memory.

[0079] Continuing to refer to FIG7, in order to achieve the above state selection, the memory unit introduces a gate control mechanism to control the path of information transmission, similar to the gate in the data circuit, "0" means closed, and "1" means open. The memory unit includes a forget gate 710, an input gate 720, and an output gate 730. Among them, the forget gate is used to control the memory unit c at the previous moment. t-1 How much information needs to be forgotten? The input gate is used to control the candidate state at the current moment. How much information needs to be stored? The output gate is used to control the memory unit c at the current moment. t How much information needs to be output to the external state h t .

[0080] 4. Channel Estimation Based on AI Decoder

[0081] The channel estimation based on the AI ​​decoder aims to process the pilot signal received by the receiver using the AI-based channel estimation module to achieve channel estimation. Figure 8 shows the process of channel estimation based on the channel estimation module. Referring to Figure 8, the pilot signal received by the receiver 800 is used as the input of the channel estimation module 810. Accordingly, the channel estimation module 810 processes the input pilot signal to output channel information. In addition, in some implementations, in addition to the pilot signal, other auxiliary information can be added to improve the accuracy of the channel information output by the channel estimation module. For example, the original sequence of the pilot signal pre-stored by the receiver 800, the energy level of the pilot signal received by the receiver 800, the transmission delay when transmitting the pilot signal, or the noise when transmitting the pilot signal, etc. can also be input to the channel estimation module 810.

[0082] The above describes the communication process and terminology involved in the embodiments of the present application in conjunction with Figures 1 to 8, and the following describes the communication system applicable to the embodiments of the present application in conjunction with Figure 9.

[0083] FIG9 illustrates a wireless communication system 900 applicable to an embodiment of the present application. The wireless communication system 900 may include a network device 910. The network device 910 may be a device that communicates with a terminal device 920. The network device 910 may provide communication coverage for a specific geographic area and may communicate with a terminal device 920 located within the coverage area.

[0084] Figure 9 exemplarily shows a network device 910 and two terminal devices 920. Optionally, the wireless communication system 900 may include multiple network devices and each network device may include other numbers of terminal devices within its coverage area, which is not limited in this embodiment of the present application.

[0085] Optionally, the wireless communication system 900 may further include other network entities such as a network controller and a mobility management entity, which is not limited in the embodiment of the present application.

[0086] Optionally, the terminal devices 920 may also communicate directly with each other. For example, two terminal devices 920 may communicate with each other via a device-to-device (D2D) link.

[0087] It should be noted that the following description uses the first device and the second device as examples. In some implementations, the first device may be the aforementioned network device 910, and accordingly, the second device may be the aforementioned terminal device 920. In other implementations, the first device may be the aforementioned terminal device 920, and accordingly, the second device may be the aforementioned network device 910. In still other implementations, the first device may be the aforementioned terminal device 920, and accordingly, the second device may be the aforementioned terminal device 920. This embodiment of the present application does not specifically limit this.

[0088] It should be understood that the technical solutions of the embodiments of the present application can be applied to various communication systems, such as: fifth generation (5G) system or new radio (NR), long term evolution (LTE) system, LTE frequency division duplex (FDD) system, LTE time division duplex (TDD), etc. The technical solutions provided in this application can also be applied to future communication systems, such as the sixth generation mobile communication system, satellite communication system, etc.

[0089] The terminal device in the embodiments of the present application may also be referred to as user equipment (UE), access terminal, user unit, user station, mobile station, mobile station (MS), mobile terminal (MT), remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent, or user device. The terminal device in the embodiments of the present application may refer to a device that provides voice and / or data connectivity to a user and can be used to connect people, objects, and machines, such as a handheld device with wireless connection function, a vehicle-mounted device, etc. The terminal device in the embodiments of the present application can be a mobile phone, a tablet computer, a laptop computer, a PDA, a mobile internet device (MID), a wearable device, a virtual reality (VR) device, an augmented reality (AR) device, a wireless terminal in industrial control, a wireless terminal in self-driving, a wireless terminal in remote medical surgery, a wireless terminal in a smart grid, a wireless terminal in transportation safety, a wireless terminal in a smart city, a wireless terminal in a smart home, etc. Optionally, the UE can be used to act as a base station. For example, the UE can act as a scheduling entity that provides sidelink signals between UEs in V2X or D2D, etc. For example, a cellular phone and a car communicate with each other using sidelink signals. The cellular phone and smart home devices communicate without relaying the communication signal through the base station.

[0090] The network device in the embodiments of the present application may be a device for communicating with a terminal device, and may also be referred to as an access network device or a radio access network device. For example, the network device may be a base station. The network device in the embodiments of the present application may refer to a radio access network (RAN) node (or device) that connects a terminal device to a wireless network. A base station can broadly cover various names as follows, or be replaced with the following names, such as: NodeB, evolved NodeB (eNB), next generation NodeB (gNB), relay station, access point, transmission point (TRP), transmission point (TP), master station MeNB, secondary station SeNB, multi-standard radio (MSR) node, home base station, network controller, access node, wireless node, access point (AP), transmission node, transceiver node, baseband unit (BBU), remote radio unit (RRU), active antenna unit (AAU), remote radio head (RRH), central unit (CU), distributed unit (DU), positioning node, etc. A base station can be a macro base station, a micro base station, a relay node, a donor node or the like, or a combination thereof. A base station can also refer to a communication module, a modem or a chip used to be set in the aforementioned device or apparatus. The base station can also be a mobile switching center and a device that performs base station functions in device-to-device D2D, vehicle-to-everything (V2X), and machine-to-machine (M2M) communications, a network-side device in a 6G network, or a device that performs base station functions in future communication systems. The base station can support networks with the same or different access technologies. The embodiments of this application do not limit the specific technology and specific device form used by the network equipment.

[0091] Base stations can be fixed or mobile. For example, a helicopter or drone can be configured to act as a mobile base station, and one or more cells can move based on the location of the mobile base station. In other examples, a helicopter or drone can be configured to act as a device that communicates with another base station.

[0092] In some deployments, the network device in the embodiments of the present application may refer to a CU or a DU, or the network device may include a CU and a DU. The gNB may also include an AAU.

[0093] The network equipment and terminal devices can be deployed on land, including indoors or outdoors, handheld or vehicle-mounted; they can also be deployed on water; they can also be deployed in the air on aircraft, balloons, and satellites. The embodiments of this application do not limit the scenarios in which the network equipment and terminal devices are located.

[0094] It should be understood that the communication devices referred to in this application may be network devices or terminal devices. For example, the first communication device may be a network device, and the second communication device may be a terminal device. In another example, the first communication device may be a terminal device, and the second communication device may be a network device. In another example, both the first communication device and the second communication device may be network devices, or both may be terminal devices.

[0095] It should also be understood that all or part of the functions of the communication device in this application can also be implemented through software functions running on hardware, or through virtualization functions instantiated on a platform (such as a cloud platform).

[0096] At present, in known communication systems, in order to improve the reliability of transmission signals, signals transmitted on multiple transmission resources are transmitted in an orthogonal transmission manner, wherein orthogonal transmission can be understood as processing the signals transmitted on multiple transmission resources into mutually orthogonal signals for transmission, and the orthogonal signals are transmitted independently of each other and do not interfere with each other. In the scenario of orthogonal transmission, for a certain transmission resource, it can only be used to transmit one signal at a time, resulting in low utilization of the transmission resources. On the other hand, when the total transmission resources are certain, if the number of transmission resources occupied by a certain signal (hereinafter referred to as the "first signal") increases, it means that the number of transmission resources that can be used to transmit other signals (hereinafter referred to as the "second signal") decreases, which may cause other signals to fail to be transmitted in a timely manner.

[0097] For example, if the first signal is a pilot signal and the second signal is a data signal, the pilot signal and the data signal are orthogonally transmitted on different transmission resources. This means that a given transmission resource can only be used to transmit either a data signal or a pilot signal at a given moment, resulting in low transmission resource utilization. On the other hand, given a fixed total number of transmission resources, if the number of transmission resources occupied by pilot signals increases, this means the number of transmission resources available for data signal transmission decreases, potentially preventing timely data signal transmission. Alternatively, if the number of transmission resources occupied by data signals increases, this means the number of transmission resources available for pilot signal transmission decreases, potentially reducing the accuracy of channel estimation based on pilot signals.

[0098] Therefore, to address the above issues, an embodiment of the present application provides a wireless communication method in which a first signal and a second signal can be non-orthogonally transmitted on the same transmission resource (also referred to as a "target transmission resource") to improve the utilization of the transmission resource. The wireless communication method of an embodiment of the present application is described below with reference to FIG10 . The wireless communication method shown in FIG10 includes step S1010.

[0099] In step S1010 , a first device sends a target signal to a second device on a target transmission resource.

[0100] In some implementations, the target signal includes a non-orthogonal first signal and a non-orthogonal second signal. In other words, the target signal includes the first signal and the second signal transmitted non-orthogonally, or the second signal and the first signal are transmitted non-orthogonally on the target transmission resource.

[0101] Based on the above description, it can be seen that the non-orthogonal transmission of the first signal and the second signal can be transmitted simultaneously through the target transmission resource. This can be understood as the first signal and the second signal being transmitted on the target transmission resource in a superimposed manner. Therefore, in the embodiments of the present application, the above-mentioned target transmission resource can also be referred to as a "superimposed transmission resource." The superimposition method of the first signal and the second signal will be described below with reference to Figures 11 to 58. For the sake of brevity, it will not be repeated here.

[0102] In an embodiment of the present application, the first signal and the second signal may be different types of signals. For example, the second signal may include a data signal, and correspondingly, the first signal may include a pilot signal. The pilot signal is also called a reference signal, for example, a reference signal may be a CSI-RS, a DMRS, a phase-tracking reference signal (PT-RS), a sounding reference signal (SRS), an SSB synchronization signal block (SS / PBCH block), a positioning reference signal (PRS), etc. Of course, in an embodiment of the present application, the first signal and the second signal may also be other different types of signals.

[0103] It should be noted that the solution of the embodiment of the present application is also applicable to the non-orthogonal transmission of multiple different types of signals on the target transmission resource. The first signal and the second signal can be understood as two signals of multiple different types. The solution of the embodiment of the present application does not limit the number of the multiple signal types.

[0104] In some implementations, the first signal and the second signal may be data for the same user, in which case the target transmission resource may include a single-stream transmission resource. In other implementations, the first signal and the second signal may be data for different users, in which case the target transmission resource may include a multi-stream transmission resource.

[0105] The embodiments of the present application do not limit transmission resources (e.g., target transmission resources). In some implementations, the transmission resources may include one or more of the following: time domain resources, frequency domain resources, and code domain resources. Taking the example of transmission resources including time domain resources, the target transmission resources may be symbols (also known as "time domain symbols"), time slots, subframes, or frames. Taking the example of transmission resources including frequency domain resources, the transmission resources may include subcarriers, bandwidth parts, frequency bands, etc. Taking the example of target transmission resources including code domain resources, the target transmission resources may include codewords. Taking the example of target transmission resources including time domain resources and frequency domain resources, the target transmission resources may include resource elements (RE) or resource blocks (RB).

[0106] In some implementations, the target transmission resource belongs to a transmission resource set, where the transmission resource set may include one or more transmission resources. All transmission resources in the transmission resource set may be used to transmit the second signal, and correspondingly, some or all transmission resources in the transmission resource set may be used to transmit the first signal. In other words, some or all transmission resources in the transmission resource set are the target transmission resources. The transmission resource set may be, for example, an RB, and the transmission resource may be, for example, an RE in the RB.

[0107] In some implementations, all transmission resources in the aforementioned transmission resource set may be used to transmit the second signal, and correspondingly, all transmission resources in the transmission resource set may be used to transmit the first signal. Alternatively, all transmission resources used to transmit the second signal may be used to transmit the first signal, or in other words, the first and second signals may be transmitted in a non-orthogonal manner on all transmission resources used to transmit the second signal.

[0108] For ease of understanding, the following takes all the transmission resources in the transmission resource set as an example for transmitting the first signal and the second signal, and introduces the transmission method of the first signal and the second signal in an embodiment of the present application in combination with Figure 11. Referring to Figure 11, it is assumed that the transmission resource set is RB1, RB1 includes 12 subcarriers in the frequency domain, and RB1 includes 14 symbols in the time domain. Among them, all REs in RB1 are used to transmit the first signal and the second signal, that is, the first signal and the second signal are superimposed and transmitted in a non-orthogonal manner on all REs in RB1. Therefore, all REs in RB1 can also be called superimposed transmission resources.

[0109] In the embodiments of the present application, the scheme of transmitting the first signal on all transmission resources used to transmit the second signal, or in other words, transmitting the first signal and the second signal on all transmission resources in the transmission resource set, helps avoid the signaling interaction required between the second device and the transmitting end to unify which transmission resources are superimposed transmission resources, compared to the scheme of transmitting the first signal on part of the transmission resources used to transmit the second signal. For example, the first device may no longer indicate the superimposed transmission resources to the second device.

[0110] In some other implementations, some of the transmission resources in the aforementioned transmission resource set may be used to transmit the second signal, and correspondingly, some of the transmission resources in the transmission resource set may be used to transmit the first signal. Alternatively, some of the transmission resources used to transmit the second signal may be used to transmit the first signal, or in other words, the first and second signals may be transmitted in a non-orthogonal manner on some of the transmission resources used to transmit the second signal.

[0111] For ease of understanding, the following takes part of the transmission resources in the transmission resource set for transmitting the first signal and the second signal as an example, and describes the transmission method of the second signal and the first signal in another embodiment of the present application in combination with Figure 12. Referring to Figure 12, it is assumed that the transmission resource set is RB2, and RB2 includes 12 subcarriers in the frequency domain, and RB2 includes 14 symbols in the time domain. Accordingly, in the multiple REs corresponding to symbol 2 of RB2, the first signal is carried on RE0, RE2, RE4, RE6, RE8 and RE10. That is to say, the first signal and the second signal are superimposed and transmitted in a non-orthogonal manner on RE0, RE2, RE4, RE6, RE8 and RE10 in RB2. Therefore, RE0, RE2, RE4, RE6, RE8 and RE10 can be called superimposed transmission resources.

[0112] In the embodiment of the present application, the location of the transmission resource used to transmit the first signal is not limited. Taking the first signal as a pilot signal as an example, the location of the transmission resource used to transmit the first signal can be determined based on the pilot signal transmission pattern, where the pilot signal transmission pattern can be, for example, any of the patterns described above. Of course, in the embodiment of the present application, the location of the transmission resource for the first signal can also be determined based on the patterns described below in conjunction with Figures 25 to 58.

[0113] In the embodiment of the present application, the first signal no longer needs to occupy all the transmission resources used to transmit the second signal, which helps to improve the flexibility of transmitting the first signal.

[0114] As described above, the first signal and the second signal can be transmitted in a non-orthogonal manner on the target transmission resource. In the embodiments of the present application, non-orthogonal transmission can be divided into non-orthogonal transmission based on linear superposition and non-orthogonal transmission based on non-linear superposition. The following describes non-orthogonal transmission mode 1 and non-orthogonal transmission mode 2, respectively.

[0115] In non-orthogonal transmission mode 1, the first signal and the second signal are non-orthogonally transmitted on the target transmission resource in a linear superposition manner. In other words, the target signal is generated based on the linear superposition of the first signal and the second signal. In the embodiment of the present application, non-orthogonal transmission based on linear superposition helps to simplify the complexity of non-orthogonal transmission. On the other hand, non-orthogonal transmission based on linear superposition helps to simplify the complexity of the second device identifying multiple signals of non-orthogonal transmission.

[0116] In some scenarios, when transmitting a signal on a transmission resource, there are usually some restrictions on the energy of the transmitted signal. Therefore, in an embodiment of the present application, when the superimposed first signal and second signal are transmitted through the target transmission resource, the energy of the signal transmitted on the target transmission resource can be adjusted using the first parameter and / or the second parameter (or, the power of the signal transmitted on the target transmission resource can be adjusted using the first parameter and / or the second parameter). In other words, the parameters associated with the above-mentioned linear superposition method are determined based on the first parameter and / or the second parameter.

[0117] It should be noted that the parameters associated with the above-mentioned linear superposition method are determined based on the first parameter and / or the second parameter. It can be understood that the parameters associated with the linear superposition method include the first parameter and / or the second parameter, or the parameters associated with the linear superposition method are obtained by calculating the first parameter and / or the second parameter. The embodiments of the present application are not limited to this.

[0118] In some implementations, the first parameter is used to adjust the energy of the first signal transmitted on the target transmission resource. For example, the first parameter is used to increase the energy of the first signal transmitted on the target transmission resource. In another example, the first parameter is used to decrease the energy of the first signal transmitted on the target transmission resource.

[0119] In some implementations, the second parameter is used to adjust the energy of the second signal transmitted on the target transmission resource. For example, the second parameter is used to increase the energy of the second signal transmitted on the target transmission resource. In another example, the second parameter is used to decrease the energy of the second signal transmitted on the target transmission resource.

[0120] In some scenarios, it is specified that the signal energy of a signal transmitted on a transmission resource is less than or equal to an energy threshold corresponding to the transmission resource (e.g., 1). Accordingly, in some implementations, the parameters associated with the aforementioned linear superposition method (e.g., the first parameter and / or the second parameter) are used to adjust the sum of the energy of the first signal and the energy of the second signal transmitted on the target transmission resource to be less than or equal to the energy threshold corresponding to the target transmission resource.

[0121] In some implementations, the value of the first parameter can be smaller than the value of the second parameter. For example, if the first signal is a pilot signal and the second signal is a data signal, the value of the first parameter being smaller than the value of the second parameter helps reduce the impact of the pilot signal on the data signal, thereby improving the success rate of data signal transmission. For example, the value of the first parameter can be 0.1 to 0.5, and correspondingly, the value of the second parameter can be 0.6 to 0.975.

[0122] In the embodiments of the present application, the energy threshold is not limited. In some implementations, the energy threshold may be determined based on the average energy corresponding to the target transmission resource. For example, the energy threshold may be equal to the average energy corresponding to the target transmission resource. In another example, the energy threshold may be less than the average energy corresponding to the target transmission resource.

[0123] In the embodiment of the present application, the energy threshold may be predefined, for example, by a communication protocol. Of course, the energy threshold may also be preconfigured, for example, by a network device. This embodiment of the present application does not limit this.

[0124] For ease of understanding, the following describes the non-orthogonal transmission scheme based on linear superposition in an embodiment of the present application in combination with the first parameter and the second parameter. As mentioned above, the target transmission resource belongs to a transmission resource set, and the target signal transmitted on one or more target transmission resources in the transmission resource set is represented by a matrix S. Accordingly, the matrix S is determined by the formula S=V⊙D+X⊙P, or in other words, the matrix S satisfies V⊙D+X⊙P. Among them, the matrix V represents the second parameter associated with the target transmission resource in the transmission resource set; the matrix X represents the first parameter associated with the target transmission resource in the transmission resource set; the matrix D represents the second signal transmitted on the target transmission resource in the transmission resource set; the matrix P represents the first signal transmitted on the target transmission resource in the transmission resource set; ⊙ represents the Hadamard product.

[0125] In some implementations, assuming that the energy threshold corresponding to the target transmission resource is 1, the matrix V is determined based on the formula V = sqrt(A), and the matrix X is determined based on the formula X = sqrt(1-A), where the matrix A∈[0,1] and sqrt() represents square root calculation.

[0126] It should be noted that in the embodiments of the present application, there is no limit on the number of target transmission resources included in the transmission resource set. Accordingly, the dimensions of the matrices mentioned above (for example, matrix S, matrix V, matrix D, matrix P, matrix A, matrix V, and matrix X, etc.) are associated with the dimensions (or number) of the target transmission resources in the transmission resource set. For example, each element in the matrix may correspond to a transmission resource in the transmission resource set. In some implementations, the dimension of the matrix is ​​the same as the dimension of the target transmission resource in the transmission resource set. Taking the transmission resource set as RB as an example, the RB can be represented as including N rows and M columns of REs, and all REs in the RB are superimposed transmission resources. Accordingly, the matrix mentioned above can be a matrix with N rows and M columns, where M and N are positive integers.

[0127] Typically, the dimensions of the matrix above change when the target transmission resources allocated by the system change. For example, if the target transmission resources allocated by the system are two RBs, the dimensions of the matrix are the same as the dimensions of the REs in the two RBs. Assuming that an RB can be represented as consisting of N rows and M columns of REs, then two RBs contain 2N rows and 2M columns of REs, and the corresponding dimensions of the two RBs are 2N rows and 2M columns. In this case, if all REs in the two RBs are superimposed transmission resources, the dimensions of the matrix mentioned above can be a matrix with 2N rows and 2M columns.

[0128] The above describes a scheme for determining parameters associated with the linear superposition method based on the first parameter and / or the second parameter in an embodiment of the present application. In other implementations, the parameters associated with the linear superposition method can be determined by the symbol set corresponding to the first signal and the symbol set corresponding to the second signal.

[0129] The symbol set associated with the first signal may include one or more symbols that can be used to transmit the first signal. In some scenarios, to improve the transmission performance of the first signal, the first signal may be modulated. Accordingly, the symbol set associated with the first signal may include modulation symbols associated with the modulation constellation points of the first signal. The modulation constellation points of the first signal are associated with the modulation scheme of the first signal.

[0130] As previously described, if the first signal is modulated, the amplitude of the first signal indicated in the matrix P associated with the first signal may be the modulated amplitude, and / or the phase of the first signal indicated in the matrix P associated with the first signal may be the modulated phase. In this case, the matrix P associated with the first signal belongs to the set of modulation constellation points associated with the modulation scheme of the first signal. Taking the modulation scheme of the first signal as BPSK as an example, the set of modulation constellation points B associated with BPSK can be expressed as B = {-1, 1}. Accordingly, the matrix P ∈ B associated with the first signal.

[0131] The symbol set associated with the second signal may include one or more symbols that can be used to transmit the second signal. In some scenarios, the second signal may be modulated to improve transmission performance of the second signal. Accordingly, the symbol set associated with the second signal may include modulation symbols associated with modulation constellation points of the second signal. The modulation constellation points of the second signal are associated with the modulation scheme of the second signal.

[0132] As previously described, if the second signal is modulated, the amplitude of the second signal indicated in the matrix D associated with the second signal may be the modulated amplitude, and / or the phase of the second signal indicated in the matrix D associated with the second signal may be the modulated phase. In this case, the matrix D associated with the second signal belongs to the set of modulation constellation points associated with the modulation scheme of the second signal. Taking 4QAM as an example, the set of modulation constellation points C associated with 4QAM may be expressed as C = {0.707 + 0.707j, 0.707 - 0.707j, -0.707 + 0.707j, -0.707 - 0.707j}. Accordingly, the matrix D ∈ C associated with the second signal.

[0133] Of course, in the embodiment of the present application, linear superposition can be performed based on the first parameter, the second parameter, the symbol set corresponding to the first signal, and the symbol set corresponding to the second signal. For ease of understanding, the following describes a scheme for transmitting the first signal and the second signal based on linear superposition provided by the embodiment of the present application in conjunction with FIG13. Assuming that the second signal is a data signal and the first signal is a pilot signal, the first signal and the second signal are non-orthogonally transmitted in a linear superposition manner on all REs within an RB.

[0134] As shown in Figure 13, if the dimension of REs in an RB can be expressed as N×M, then the matrix P associated with the pilot signal and the matrix D associated with the data signal can be expressed as N×M matrices, the first parameter can be expressed as an N×M matrix X, and the second parameter can be an N×M matrix V. Accordingly, the signal transmitted on each RE in the RB can be expressed as an N×M matrix S.

[0135] From the perspective of formula, it can be described as follows: the matrix S is determined by the formula: S = V⊙D + X⊙P, where the matrix V = sqrt(A)∈ [0,1] M×M , matrix X = sqrt(1-A)∈[0,1] M×M , A∈[0,1] M×M , matrix D∈C M×M , matrix P∈B M×M .

[0136] In an embodiment of the present application, to improve the transmission performance of a first signal, a symbol set associated with the first signal may be associated with the transmission conditions of the first signal. Taking the example of a modulation symbol set associated with the first signal as an example, the modulation symbol set associated with the first signal may be associated with the transmission conditions of the first signal. In other words, the modulation constellation points associated with the modulation symbol set associated with the first signal may be associated with the transmission conditions of the first signal.

[0137] In an embodiment of the present application, the association relationship between the symbol set of the first signal and the transmission condition of the first signal is not limited. For example, the symbol set associated with the transmission condition of the first signal can be obtained after adjustment (or learning) based on a preset initial symbol set during the training of the AI ​​receiver. The training process can be shown in Figure 67, and for the sake of brevity, it will not be repeated here. In addition, if the symbol set associated with the first signal is not related to the transmission condition, the symbol set associated with the first signal can be preset.

[0138] In addition, to improve the transmission performance of the second signal, the symbol set associated with the second signal can be associated with the transmission conditions of the second signal. Taking the symbol set associated with the second signal as an example, the modulation symbol set associated with the second signal can be associated with the transmission conditions of the second signal. In other words, the modulation constellation point associated with the modulation symbol set associated with the second signal can be associated with the transmission conditions of the second signal. Of course, in the embodiment of the present application, in order to simplify the complexity of linear superposition, the symbol set associated with the second signal can also be independent of the transmission conditions.

[0139] In the embodiment of the present application, the association relationship between the symbol set of the second signal and the transmission condition of the second signal is not limited. For example, the symbol set associated with the transmission condition of the second signal can be obtained after adjustment (or learning) based on a preset initial symbol set during the training process of the model-based receiver. The training process can be shown in Figure 67, and for the sake of brevity, it is not repeated here. In addition, if the symbol set associated with the second signal is not related to the transmission condition, the symbol set associated with the second signal can be preset.

[0140] In the embodiments of this application, the transmission conditions mentioned above are not limited. In some implementations, the transmission conditions are associated with one or more of the following: the number of antennas used to transmit the signal; the channel conditions of the transmitted signal; the characteristics of the radio frequency device used to transmit the signal; or the transmission configuration of the signal. The signal may be the first signal and / or the second signal described above.

[0141] In some implementations, the signal transmission configuration may include the number of antennas used to transmit the signal. Of course, in the embodiment of the present application, the signal transmission configuration may also include other configurations.

[0142] In other implementations, the characteristics of the radio frequency device that transmits the signal may affect the frequency of the signal, the transmission power of the signal, etc., which is not specifically limited in the embodiments of the present application.

[0143] For ease of understanding, the following describes an embodiment of the present application using the adjustment of the modulation constellation points associated with the second signal as an example, with reference to FIG14. As shown in FIG14, assuming that the modulation scheme of the second signal is 4QAM modulation, the initial modulation constellation point set associated with the second signal can be expressed as C = {0.707 + 0.707j, 0.707 - 0.707j, -0.707 + 0.707j, -0.707 - 0.707j}. Correspondingly, after learning, the learned modulation constellation point set associated with the second signal can be expressed as C′={(0.707+x1)+(0.707+x2)j, (0.707+x3)-(0.707+x4)j, -(0.707+x5)+(0.707-x6)j, -(0.707+x7)-(0.707+x8)j}, as shown in Figure 14(b).

[0144] 14( a ) to ( b ), the optimization of the modulation constellation point set of the second signal can be understood as a set shaping optimization of the initial modulation constellation point set, which helps to improve the transmission performance of the second signal.

[0145] In some scenarios, transmission conditions may be associated with the learning accuracy of the initial symbol set. In some implementations, if good transmission conditions indicate relatively good signal transmission performance, the learning accuracy of the initial symbol set associated with the signal may be lower. Conversely, if poor transmission conditions indicate relatively poor signal transmission performance, the learning accuracy of the initial symbol set associated with the signal may be higher, thereby improving the signal transmission performance.

[0146] For example, if the transmission condition includes the number of antennas used to transmit a signal, the greater the number of antennas used, the better the signal's transmission performance. In this case, the learning accuracy of the initial symbol set corresponding to that signal can be lower. Conversely, if the fewer the number of antennas used, the worse the signal's transmission performance. In this case, the learning accuracy of the initial symbol set corresponding to that signal can be higher, helping to improve the signal's transmission performance.

[0147] For example, if the transmission conditions include the channel conditions used to transmit the signal, better channel conditions indicate relatively better transmission performance for the signal. In this case, the learning accuracy of the initial symbol set corresponding to the signal can be lower. Conversely, worse channel conditions indicate relatively poor transmission performance for the signal. In this case, the learning accuracy of the initial symbol set corresponding to the signal can be higher, helping to improve the transmission performance of the signal.

[0148] For example, if the transmission conditions include the RF device characteristics of the transmitted signal, and the signal's transmission performance is relatively good due to these characteristics, the learning accuracy of the initial symbol set corresponding to this signal can be low. Conversely, if the signal's transmission performance is relatively poor due to these characteristics, the learning accuracy of the initial symbol set corresponding to this signal can be high, thereby improving the signal's transmission performance.

[0149] Taking the transmission conditions including the signal transmission configuration as an example, a better signal transmission configuration indicates relatively better signal transmission performance. In this case, the learning accuracy of the initial symbol set corresponding to the signal can be lower. Conversely, a worse signal transmission configuration indicates relatively poor signal transmission performance. In this case, the learning accuracy of the initial symbol set corresponding to the signal can be higher, which helps improve the signal transmission performance.

[0150] In non-orthogonal transmission mode 2, the first signal and the second signal are non-orthogonally transmitted on the target transmission resource using a nonlinear superposition method. In other words, the target signal is generated based on the nonlinear superposition of the first and second signals. In this embodiment of the present application, generating the target signal based on the nonlinear superposition method helps to improve the flexibility of superposition of the first and second signals.

[0151] In some implementations, the nonlinear superposition can be obtained by performing nonlinear superposition on the first signal and the second signal based on the first model, or in other words, the first model is used to perform nonlinear superposition on the first signal and the second signal. The first model can be, for example, an AI model or a machine learning model. Taking the first model as an AI model as an example, the embodiments of the present application do not limit the fields to which the AI ​​model is adapted.

[0152] Typically, the weights of the first model can be updated based on the transmission conditions of wireless communication. Accordingly, nonlinear superposition of the first signal and the second signal using the first model with updated weights helps to improve the matching of the target signal with the wireless transmission conditions, and helps to increase the probability of the target signal being correctly transmitted.

[0153] In some implementations, the nonlinear superposition of the first signal and the second signal using the first model may include nonlinear superposition of the spliced ​​first signal and the second signal using the first model.

[0154] In the embodiments of the present application, the splicing method is not specifically limited. In some implementations, the splicing method may include splicing the first signal and the second signal in the time domain, or splicing the transmission resources occupied by the first signal and the transmission resources occupied by the second signal in the time domain, or splicing the transmission resources used to transmit the first signal and the transmission resources used to transmit the second signal in the time domain.

[0155] For example, splicing in the time domain dimension may include that the last time domain resource corresponding to the transmission resource occupied by the first signal is earlier than the first time domain resource corresponding to the transmission resource occupied by the second signal, and the last time domain resource corresponding to the first signal is adjacent to the first time domain resource corresponding to the second signal in the time domain. In other words, the transmission resources occupied by the first signal and the transmission resources occupied by the second signal are continuous in the time domain, and the last time domain resource occupied by the transmission resource of the first signal is earlier than the first time domain resource corresponding to the transmission resource occupied by the second signal.

[0156] As shown in Figure 15, taking the symbols corresponding to REs as time domain resources as an example, the transmission resources occupied by the first signal include RB1, and the transmission resources occupied by the second signal include RB2. Accordingly, the transmission resources occupied by the first signal and the transmission resources occupied by the second signal are spliced ​​in the time domain. This can be understood as splicing the REs in RB1 with the REs in RB2 in the time domain. In other words, the last symbol in RB1 is spliced ​​with the first symbol in RB2, so that the last symbol in RB1 is the previous adjacent symbol of the first symbol in RB2.

[0157] For another example, splicing in the time domain dimension may include the last time domain resource corresponding to the transmission resource occupied by the first signal being earlier than the first time domain resource corresponding to the transmission resource occupied by the second signal, and the last time domain resource corresponding to the first signal being adjacent to the first time domain resource corresponding to the second signal. In other words, the transmission resources occupied by the first signal and the transmission resources occupied by the second signal are continuous in the time domain, and the last time domain resource occupied by the second signal is earlier than the first time domain resource corresponding to the transmission resource occupied by the first signal.

[0158] As shown in Figure 16, taking the symbols corresponding to REs as time domain resources as an example, the transmission resources occupied by the first signal include RB1, and the transmission resources occupied by the second signal include RB2. Accordingly, the transmission resources occupied by the first signal and the transmission resources occupied by the second signal are spliced ​​in the time domain. This can be understood as splicing the REs in RB2 with the REs in RB1 in the time domain. In other words, the last symbol in RB2 is spliced ​​with the first symbol in RB1, so that the last symbol in RB2 is the previous adjacent symbol of the first symbol in RB1.

[0159] In other implementations, the above-mentioned splicing method may include splicing the first signal and the second signal in the frequency domain, or in other words, splicing the transmission resources occupied by the second signal and the transmission resources occupied by the first signal in the frequency domain dimension.

[0160] For example, the first frequency domain resource in the transmission resources occupied by the first signal is the frequency domain resource with the highest frequency in the transmission resources occupied by the first signal, and the second frequency domain resource in the transmission resources occupied by the second signal is the frequency domain resource with the lowest frequency in the transmission resources occupied by the second signal. Accordingly, splicing in the frequency domain dimension may include the frequency of the first frequency domain resource being lower than the frequency of the second frequency domain resource, and the frequency of the first frequency domain resource being continuous with the frequency of the second frequency domain resource.

[0161] As shown in Figure 17, the transmission resources occupied by the first signal include RB1, and the first frequency domain resource is RE1 with the highest frequency in RB1. The transmission resources occupied by the second signal include RB2, and the second frequency domain resource is RE2 with the lowest frequency in RB2. Accordingly, in the frequency domain, the transmission resources occupied by the first signal are spliced ​​with the transmission resources occupied by the second signal. This can be understood as splicing RE1 and RE2 in the frequency domain, so that the spliced ​​RE1 and RE2 are continuous in the frequency domain, and the frequency corresponding to RE1 is lower than the frequency corresponding to RE2.

[0162] For another example, the third frequency domain resource among the transmission resources occupied by the first signal is the frequency domain resource with the lowest frequency among the transmission resources occupied by the first signal, and the fourth frequency domain resource among the transmission resources occupied by the second signal is the frequency domain resource with the highest frequency among the transmission resources occupied by the second signal. Accordingly, the splicing in the frequency domain dimension may include the frequency of the third frequency domain resource being higher than the frequency of the fourth frequency domain resource, and the frequency of the third frequency domain resource being continuous with the frequency of the fourth frequency domain resource.

[0163] As shown in Figure 18, the transmission resources occupied by the first signal include RB1, and the third frequency domain resource is RE3, which has the lowest frequency in RB1. The transmission resources occupied by the second signal include RB2, and the fourth frequency domain resource is RE4, which has the highest frequency in RB2. Accordingly, in the frequency domain, the transmission resources occupied by the first signal are spliced ​​with the transmission resources occupied by the second signal. This can be understood as splicing RE3 and RE4 in the frequency domain, so that the spliced ​​RE3 and RE4 are continuous in the frequency domain, and the frequency corresponding to RE3 is higher than the frequency corresponding to RE4.

[0164] In other implementations, the splicing method may include splicing based on an input channel of the first signal and an input channel of the second signal, where the input channel is an input channel of the first model. In other words, the first model may include an input channel of the first signal and an input channel of the second signal. Accordingly, the splicing method may include splicing the first signal input through the input channel of the first signal with the second signal input through the input channel of the second signal.

[0165] It should be noted that, in the above-mentioned process of splicing based on input channels, signals input through different input channels can be associated with different weights. Of course, signals input through different input channels can be associated with the same weight, and this embodiment of the present application does not limit this. Taking the weight associated with the input channel of the first signal as weight 1 and the weight associated with the input channel of the second signal as weight 2 as an example, the spliced ​​signal can be determined based on the weight associated with input channel 1, the first signal, the weight associated with input channel 2, and the second signal. For example, the spliced ​​signal can be determined based on the sum of the processed first signal and the processed second signal, wherein the processed first signal can be determined based on the first weight and the first signal, and the processed second signal can be determined based on the second weight and the second signal.

[0166] As shown in FIG19 , the first signal can be input into the first model through input channel 1, and the second signal can be input into the first model through input channel 2. Accordingly, before nonlinearly superimposing the first signal and the second signal using the first model, the first signal and the second signal can be spliced ​​based on the input channel to obtain a spliced ​​signal.

[0167] In the embodiments of the present application, the splicing method based on input channels is not specifically limited. In some implementations, the spliced ​​signal can be determined based on the sum of the processed first signal and the processed second signal, wherein the processed first signal can be determined based on a first weight associated with the first input channel and the first signal, and the processed second signal can be determined based on a second weight associated with the second input channel and the second signal.

[0168] In the embodiments of the present application, the method for generating the spliced ​​signal is not specifically limited. For example, the spliced ​​signal may be equal to the sum of the processed first signal and the processed second signal. For another example, the spliced ​​signal may be obtained by processing the sum of the processed first signal and the processed second signal.

[0169] In addition, the processed first signal described above is determined based on the first weight and the first signal, and for example, the processed first signal may be equal to the product of the first weight and the first signal. For another example, the processed first signal may be obtained by processing the product of the first weight and the first signal. Correspondingly, the processed second signal described above is determined based on the second weight and the second signal, and for example, the processed second signal may be equal to the product of the second weight and the second signal. For another example, the processed second signal may be obtained by processing the product of the second weight and the second signal.

[0170] The above describes a scheme for performing nonlinear superposition of the spliced ​​first and second signals using the first model. In an embodiment of the present application, the first model can also be used to perform nonlinear superposition of the linearly superposed first and second signals. The linear superposition scheme can be referred to the scheme in the non-orthogonal transmission mode 1 described above and will not be described here for the sake of brevity.

[0171] As shown in Figure 20, assuming that the dimension of REs in an RB can be expressed as N×M, the matrix P associated with the pilot signal and the matrix D associated with the data signal can be expressed as an N×M matrix, the first parameter can be expressed as an N×M matrix X, and the second parameter can be an N×M matrix V. Accordingly, the matrix S after linear superposition can be expressed as S=V⊙D+X⊙P, where the matrix V=sqrt(A)∈[0,1] M×M , matrix X = sqrt(1-A)∈[0,1] M×M , A∈[0,1] M×M , matrix D∈C M×M , matrix P∈B M×M Afterwards, the matrix S is input into the first model, so as to use the first model to perform nonlinear superposition on the linearly superposed matrix S to obtain the matrix Q representing the target signal.

[0172] As described above, after nonlinearly superimposing the first and second signals based on the first model, the size of the transmission resource set may be exceeded, or in other words, the dimensions of the first and second signals after nonlinear superposition are greater than the dimensions corresponding to the transmission resource set. Therefore, the first model can process the first and second signals to match the size of the transmission resource set. In some implementations, the first model can include a downsampling calculation process. Accordingly, the first model can use the downsampling calculation process to process the first and second signals to match the size of the transmission resource set. For example, if the first model is a CNN, the first model can use a downsampling calculation process during the convolution processing performed on the first and second signals so that the nonlinear superposition result of the first and second signals output by the first model matches the size of the transmission resource set. For another example, if the first model is a CNN and the first and second signals are spliced ​​based on the input channels, the number of convolution channels in the first model can be adjusted so that the nonlinear superposition result of the first and second signals output by the first model matches the size of the transmission resource set.

[0173] To improve the adaptability of the transmitted signal to the characteristics of the wireless environment, in some implementations, a second model can be used to preprocess the first signal before performing linear or nonlinear superposition on the first signal. The second model is used to adjust the symbol set of the first signal. For example, using a modulation constellation point set as the symbol set, the second model can be used to adjust the modulation constellation points of the first signal.

[0174] In the embodiments of the present application, the method for obtaining the parameters in the second model is not limited. For example, the parameters in the second model may be obtained by learning the modulation constellation points of different signals during a training phase. In another example, the parameters in the second model may be obtained by learning the correlations between different signals in the time domain and / or frequency domain during a training phase. The training process will be described in detail below in conjunction with the embodiments of the present application; for the sake of brevity, this is not limited here.

[0175] In other implementations, the second signal may be preprocessed using a third model before linear or nonlinear superposition is performed based on the second signal. The third model is used to adjust the symbol set of the second signal. For example, using the symbol set as a modulation constellation point set, the third model can be used to adjust the modulation constellation points of the second signal.

[0176] In the embodiments of the present application, the method for obtaining the parameters in the third model is not limited. For example, the parameters in the third model may be obtained by learning based on the modulation constellation points of different signals during a training phase. In another example, the parameters in the third model may be obtained by learning the correlations between different signals in the time domain and / or frequency domain during a training phase. The training process will be described in detail below in conjunction with the embodiments of the present application; for the sake of brevity, this is not limited here.

[0177] Of course, in the embodiments of the present application, in order to improve the adaptability of the non-orthogonally transmitted first and second signals to the wireless communication environment, the second model and the third model can be used in combination. That is, the symbol set corresponding to the first signal is processed using the second model to obtain the processed first signal; the symbol set corresponding to the second signal is processed using the third model to obtain the processed second signal; based on the processed first signal and the processed second signal, the first model is used to perform nonlinear superposition. For ease of understanding, the following describes the scheme for pre-processing the signal based on the second model and the third model in the embodiments of the present application in conjunction with Figures 21 to 25.

[0178] As shown in Figure 21, it is assumed that the first matrix represents the first signal transmitted on each RE in RB1, and the second matrix represents the second signal transmitted on each RE in RB2. Referring to step S2110, the first matrix is ​​input into the second model to adjust the constellation modulation points of the first matrix, and the second model then outputs the adjusted first matrix. Referring to step S2120, the second matrix is ​​input into the third model to adjust the constellation modulation points of the second matrix, and the third model then outputs the adjusted second matrix. Referring to step S2130, the adjusted first matrix and the adjusted second matrix are concatenated in the frequency domain to obtain a concatenated matrix. Referring to step S2140, the concatenated matrix is ​​input into the first model for nonlinear superposition, and a superimposed matrix Q is output, where the superimposed matrix Q is used to represent the first signal and the second signal superimposed on each RE in the RB.

[0179] As shown in Figure 22, assume that the first matrix represents the first signal transmitted on each RE in RB1, and the second matrix represents the second signal transmitted on each RE in RB2. Referring to step S2210, the first matrix is ​​input into the second model to adjust the constellation modulation points of the first matrix, and the second model then outputs the adjusted first matrix. Referring to step S2220, the second matrix is ​​input into the third model to adjust the constellation modulation points of the second matrix, and the third model then outputs the adjusted second matrix. Referring to step S2230, the adjusted first matrix and the adjusted second matrix are concatenated in the time domain to obtain a concatenated matrix. Referring to step S2240, the concatenated matrix is ​​input into the first model for nonlinear superposition, and a superimposed matrix Q is output, where the superimposed matrix Q is used to represent the first signal and the second signal superimposed on each RE in the RB.

[0180] As shown in Figure 23, assume that a first matrix represents the first signal transmitted on each RE in RB1, and a second matrix represents the second signal transmitted on each RE in RB2. Referring to step S2310, the first matrix is ​​input into the second model to adjust the constellation modulation points of the first matrix, and the second model then outputs the adjusted first matrix. Referring to step S2320, the second matrix is ​​input into the third model to adjust the constellation modulation points of the second matrix, and the third model then outputs the adjusted second matrix. Referring to step S2330, the adjusted first matrix and the adjusted second matrix are concatenated based on the input channels of the first model to obtain a concatenated matrix. Referring to step S2340, the concatenated matrix is ​​input into the first model for nonlinear superposition, and a superimposed matrix Q is output, where the superimposed matrix Q is used to represent the first and second signals superimposed on each RE in the RB.

[0181] As shown in Figure 24, assume that the first matrix represents the first signal transmitted on each RE in RB1, and the second matrix represents the second signal transmitted on each RE in RB2. Referring to step S2410, the first matrix is ​​input into the second model to adjust the constellation modulation points of the first matrix, and the second model then outputs the adjusted first matrix. Referring to step S2420, the second matrix is ​​input into the third model to adjust the constellation modulation points of the second matrix, and the third model then outputs the adjusted second matrix. Referring to step S2430, based on the matrix associated with the first parameter and the matrix associated with the second parameter, the adjusted first matrix and the second matrix are linearly superimposed to obtain a linearly superimposed matrix S. Referring to step S2440, the concatenated matrix S is input into the first model for nonlinear superposition, and a superimposed matrix Q is output, where the superimposed matrix Q is used to represent the first signal and the second signal superimposed on each RE in the RB.

[0182] The above description of non-orthogonal transmission scheme 1 and non-orthogonal transmission scheme 2 in the embodiments of the present application are described in conjunction with Figures 11 to 24. Of course, other non-orthogonal transmission schemes can also be used in the embodiments of the present application. The following description will be based on the first parameter and combined with non-orthogonal transmission schemes 3 to 6.

[0183] In some implementations, the first parameter is associated with the target transmission resource and is used to adjust the energy of the first signal on the target transmission resource. Alternatively, the first parameter is used to adjust the power of the first signal on the target transmission resource. For example, the first parameter may be the first parameter described in the non-orthogonal transmission mode 1 above.

[0184] Non-orthogonal transmission mode 3: the first parameters associated with multiple target transmission resources located in the same time domain unit in the first resource set are the same, wherein the first resource set may include one or more target transmission resources.

[0185] In some implementations, the first resource set may include one or more time domain units. If the first resource set includes multiple time domain units, the first parameter associated with the target transmission resource in each of the multiple time domain units may be the same.

[0186] In the embodiment of the present application, the value range of the first parameter is not limited. In some implementations, the value range of the first parameter can be between 0 and 1. For example, the value of the first parameter can be 0.05, the value of the first parameter can be 0.1, the value of the first parameter can be 0.2, and the value of the first parameter can be 0.4. For another example, the setting of the first parameter can make the energy of the target signal transmitted on the target transmission resource less than the energy threshold associated with the target transmission resource. In other implementations, the setting of the first parameter can make the power of the target signal transmitted on the target transmission resource less than the power threshold associated with the target transmission resource.

[0187] In the embodiments of the present application, the time domain unit is not limited. For example, the time domain unit can be a symbol, a time slot, a mini time slot, a subframe, etc. Taking the time domain unit as a symbol as an example, the REs within the symbol can be used as examples of the above-mentioned target transmission resources.

[0188] For ease of understanding, the following describes the first parameter associated with the target transmission resource in the first resource set in an embodiment of the present application in conjunction with Figure 25. As shown in Figure 25, assuming that the first resource set is an RB and each RE in the RB is a target transmission resource, the target transmission resource in the first resource set can be represented as an N×M matrix. Accordingly, the first parameter associated with the target transmission resource in the first resource set can be represented as an N×M matrix X, where all elements in the matrix X are equal, that is, X k,i＝ X k,j=Y(i≠j,i,j∈[1,M],k∈[1,N]),X k,i represents the element in the kth row and ith column of the matrix X, X k,j Represents the element in the kth row and jth column of the matrix X. The matrix X is determined based on the matrix B, where B k,i＝ B k,j =Y(i≠j,i,j∈[1,M],k∈[1,N]),B k,i represents the element in the kth row and ith column of the matrix B, B k,j Represents the element in the kth row and jth column of matrix B.

[0189] In some implementations, the configuration of the first parameter may be determined based on a pattern. For example, the first parameter shown in FIG25 may be used as a pattern for determining the first parameter associated with the target transmission resource in the first resource set.

[0190] The method for setting the first parameter involved in the embodiment of the present application is relatively simple, which helps reduce the overhead of transmitting the configuration parameters required to configure the first parameter. In addition, since fewer configuration parameters are required to configure the first parameter, the method for setting the first parameter in the embodiment of the present application can be applied to high-speed movement scenarios.

[0191] Non-orthogonal transmission mode 4, first parameters associated with multiple target transmission resources located in different time domain units in the first resource set are partially or completely different, wherein the first resource set may include one or more target transmission resources.

[0192] For example, the first resource set may include time domain unit 1 and time domain unit 2, and the first parameter associated with the target transmission resource in time domain unit 1 is different from the first parameter associated with the target transmission resource in time domain unit 2. Time domain unit 1 and time domain unit 2 are two time domain units in the first resource set, or time domain unit 1 and time domain unit 2 are any two time domain units in the first resource set.

[0193] For another example, the first resource set may include time domain units 1 to 5, and the first parameter associated with the target transmission resource in time domain unit 1 is different from the first parameter associated with the target transmission resource in time domain unit 5. In addition, the first parameters associated with the target transmission resources in time domain units 2 to 4 are the same.

[0194] In the embodiment of the present application, there is no limitation on the manner in which the first parameter associated with the target transmission resource in different time domain units in the first resource set changes. The following describes the changing pattern of the first parameter in the embodiment of the present application based on the first time domain position and the second time domain position, in conjunction with Examples 4-1 to 4-4. The first time domain position and the second time domain position are two different time domain positions in the time domain position where the target transmission resource is located in the first resource set.

[0195] In some implementations, the first time domain position may be the earliest time domain position in the first resource set in the time domain, or in other words, the first time domain position is earlier in the time domain than other time domain positions in the first resource set except the first time domain position. Taking the first resource set as an RB, the first time domain position may be the time domain position of the first symbol in the RB. Of course, in an embodiment of the present application, the first time domain position may be the latest time domain position in the first resource set in the time domain, or in other words, the first time domain position is not earlier in the time domain than other time domain positions in the first resource set except the first time domain position. Taking the first resource set as an RB, the first time domain position may be the time domain position of the last symbol in the RB.

[0196] In some other implementations, the second time domain position is the central time domain position of the first resource set. The central time domain position may include one or more time domain units. For example, if the first resource set includes RE1, RE2, and RE3, which are consecutive in the time domain, the central time domain position of the first resource set may be the time domain position of RE2. For example, if the first resource set includes RE1, RE2, RE3, RE4, and RE5, which are consecutive in the time domain, the central time domain position of the first resource set may be the time domain positions of RE2 to RE4.

[0197] Of course, in the embodiment of the present application, the second time domain position may be the earliest time domain position in the first resource set in the time domain, or in other words, the second time domain position is earlier in the time domain than other time domain positions in the first resource set except the second time domain position. Taking the first resource set as the RB, the second time domain position may be the time domain position of the first symbol in the RB. Of course, in the embodiment of the present application, the second time domain position may be the latest time domain position in the first resource set in the time domain, or in other words, the second time domain position is not earlier in the time domain than other time domain positions in the first resource set except the second time domain position. Taking the first resource set as the RB, the second time domain position may be the time domain position of the last symbol in the RB.

[0198] In the embodiment of the present application, there is no limitation on the combination of the first time domain position and the second time domain position. For example, the first time domain position is the earliest time domain position in the first resource set in terms of time domain, and the second time domain position may be the latest time domain position in the first resource set in terms of time domain. For another example, the first time domain position is the earliest time domain position in the first resource set in terms of time domain, and the second time domain position may be the central time domain position of the first resource set. For another example, the first time domain position is the latest time domain position in the first resource set in terms of time domain, and the second time domain position may be the central time domain position of the first resource set.

[0199] In some implementations, if the second time domain position is the center time domain position, the change trend of the first parameter in the first resource set can be axially symmetric, where axial symmetry can be understood as axial symmetry with the center time domain position as the center axis, that is, if the second time domain position is the center frequency domain position, then the change trends of the first parameter associated with the target transmission resources on both sides of the second time domain position are opposite. Of course, in the embodiment of the present application, if the second time domain position is the center time domain position, then the change trends of the first parameter associated with the target transmission resources on both sides of the second time domain position can also be the same, and the embodiment of the present application is not limited to this.

[0200] In Example 4-1, the target transmission resource located between the first time domain position and the second time domain position satisfies Rule 4-1.

[0201] In some implementations, Rule 4-1 includes increasing the first parameter associated with each target transmission resource in order of the time domain units from earliest to latest in the time domain. For example, if time domain unit 1 is earlier in the time domain than time domain unit 2, then the value of the first parameter associated with the target transmission resource in time domain unit 1 is less than the value of the first parameter associated with the target transmission resource in time domain unit 2.

[0202] In some implementations, if the above rule 4-1 is combined with the previously described axisymmetric variation of the first parameter in the first resource set, as shown below in conjunction with FIG26 , the variation trend of the first parameter associated with the target transmission resource in the first resource set is decreasing from the center time domain position to the edge time domain position. This variation trend of the first parameter can be applicable to scenarios where the communication device moves at a low speed.

[0203] It should be noted that the first parameters associated with the target transmission resources in the same time domain unit in the above-mentioned first resource set can be the same, or in other words, the first parameters associated with the target transmission resources corresponding to different frequencies in the above-mentioned time domain unit can be the same. Of course, in the embodiment of the present application, the first parameters associated with the target transmission resources in the same time domain unit in the above-mentioned first resource set can also be partially or completely different.

[0204] In the embodiments of the present application, the manner in which the first parameter is increased is not limited. For example, the first parameter associated with the first resource set may be increased in a fixed step size, where the fixed step size may be a fixed value (e.g., 0.05) or a fixed ratio value (e.g., 0.5%). For another example, the first parameter associated with the first resource set may be increased in a variable step size.

[0205] For ease of understanding, the following describes a variation of the first parameter in an embodiment of the present application in conjunction with Figure 26. Assuming that the first resource set is an RB, the target transmission resource in the first resource set can be represented as N×M REs.

[0206] As shown in Figure 26, the second time domain position 2610 is the center time domain position of the RB, and the first time domain position 2620 is the time domain position of the earliest RE in the RB. Accordingly, the first parameter associated with the target transmission resource between the second time domain position 2610 and the first time domain position 2620 satisfies the above rule 4-1, that is, the first parameter associated with each target transmission resource increases in the order of the time domain units from early to late in the time domain. In addition, the change trend of the first parameter associated with the time domain units in the first resource set is axisymmetric, that is, the change trend of the first parameter associated with the target transmission resource between the latest RE in the time domain position in the first resource set (see 2630) and the second time domain position is opposite to the change trend of the first parameter associated with the target transmission resource between the second time domain position 2610 and the first time domain position 2620. At this point, it can be understood that in the first resource set, the change trend of the first parameter associated with the target transmission resource is decreasing from the center time domain position to the edge time domain position.

[0207] In Example 4-2, the target transmission resource located between the first time domain position and the second time domain position satisfies Rule 4-2.

[0208] In some implementations, Rule 4-2 includes increasing the first parameter associated with the target transmission resource every q time domain units in a time domain order from earliest to latest, where q is a positive integer greater than or equal to 0. It should be understood that when the value of q is 0, the changing trend of the first parameter associated with the target transmission resource in the first resource set can be seen in the relevant description of Example 4-1, and for the sake of brevity, it is not repeated here.

[0209] In some implementations, the value of q may be a fixed value. Of course, in other implementations, the value of q may be variable, for example, the value of q may be randomly variable.

[0210] In addition, in the embodiments of the present application, the manner in which the first parameter is varied is not limited. In some implementations, the first parameter may vary according to a first ratio. For example, the manner in which the first parameter is varied may include varying the first parameter by a ratio coefficient r every q time domain units. In other implementations, the first parameter may vary according to a first step length. For another example, the manner in which the first parameter is varied may include varying the first parameter by a first step length every q time domain units.

[0211] In some implementations, if the above rule 4-2 is combined with the previously described axisymmetric trend of the change of the first parameter in the first resource set, as shown below in conjunction with FIG. 27 or FIG. 28 , the change trend of the first parameter associated with the target transmission resource in the first resource set is decreasing from the center time domain position to the edge time domain position. This first parameter change trend can be applicable to scenarios where the communication device moves at a low speed.

[0212] It should be noted that the first parameters associated with the target transmission resources in the same time domain unit in the above-mentioned first resource set can be the same, or in other words, the first parameters associated with the target transmission resources corresponding to different frequencies in the above-mentioned time domain unit can be the same. Of course, in the embodiment of the present application, the first parameters associated with the target transmission resources in the same time domain unit in the above-mentioned first resource set can also be partially or completely different.

[0213] In the embodiments of the present application, the manner in which the first parameter is increased is not limited. For example, the first parameter associated with the first resource set may be increased in a fixed step size, where the fixed step size may be a fixed value (e.g., 0.05) or a fixed ratio value (e.g., 0.5%). For another example, the first parameter associated with the first resource set may be increased in a variable step size.

[0214] For ease of understanding, the following describes how the first parameter changes in the embodiment of the present application in conjunction with Figures 27 and 28. Assuming that the first resource set is an RB, the target transmission resource in the first resource set can be represented as N×M REs.

[0215] As shown in FIG27 , assuming that the value of q is 2, the second time domain position 2710 is the center time domain position of the RB, and the first time domain position 2720 is the time domain position of the earliest RE in the RB. Accordingly, the first parameter associated with the target transmission resource between the second time domain position 2710 and the first time domain position 2720 satisfies the above rule 4-2, i.e., the first parameter associated with the target transmission resource increases every two time domain units in the order of the time domain units from earliest to latest in the time domain. In addition, the changing trend of the first parameter associated with the time domain units in the first resource set is axisymmetric. That is, the changing trend of the first parameter associated with the target transmission resource between the latest RE in the time domain position in the first resource set (see 2730) and the second time domain position is opposite to the changing trend of the first parameter associated with the target transmission resource between the second time domain position 2710 and the first time domain position 2720. In this case, it can be understood that in the first resource set, the changing trend of the first parameter associated with the target transmission resource is decreasing from the center time domain position to the edge time domain position.

[0216] As shown in FIG28 , assuming that the value of q is 4, the second time domain position 2810 is the center time domain position of the RB, and the first time domain position 2820 is the time domain position of the earliest RE in the RB. Accordingly, the first parameter associated with the target transmission resource between the second time domain position 2810 and the first time domain position 2820 satisfies the above rule 4-2, i.e., the first parameter associated with the target transmission resource increases every four time domain units in the order of the time domain units from earliest to latest in the time domain. In addition, the changing trend of the first parameter associated with the time domain units in the first resource set is axisymmetric. That is, the changing trend of the first parameter associated with the target transmission resource between the latest RE in the time domain position in the first resource set (see 2830) and the second time domain position is opposite to the changing trend of the first parameter associated with the target transmission resource between the second time domain position 2810 and the first time domain position 2820. In this case, it can be understood that in the first resource set, the changing trend of the first parameter associated with the target transmission resource is decreasing from the center time domain position to the edge time domain position.

[0217] In some scenarios, the change trend of the first parameter introduced above in combination with Example 4-1 and Example 4-2 can be represented by two parameters (parameter 1 and parameter 2), wherein parameter 1 represents the initial value of the first parameter associated with each target transmission resource in the first resource set. Parameter 2 represents the adjusted value of the first parameter associated with the target transmission resource in the first resource set. The setting of parameter 2 can make the change of the first parameter associated with the target transmission resource in the first resource set meet the above-mentioned rule 4-1 and / or rule 4-2. That is to say, the first parameter is based on the initial value indicated by parameter 1 and is adjusted according to the adjusted value indicated by parameter 2. Therefore, it can be seen that the change trend of the first parameter associated with the target transmission resource in the first resource set is determined based on the change trend of the adjustment value in parameter 2, or in other words, the change trend of the first parameter associated with the target transmission resource in the first resource set matches the change trend of the adjustment value in parameter 2. For example, the change trend of the first parameter associated with the target transmission resource in the first resource set is the same as the change trend of the adjustment value in parameter 2.

[0218] Taking the example of the target transmission resources included in the first resource set represented as an N×M matrix, the first parameter associated with the target transmission resources in the first resource set can be represented as matrix X. Parameter 1 and parameter 2 can be represented by N×M matrix B and N×M matrix G, respectively. Accordingly, matrix X is based on the initial values ​​indicated by matrix B and is adjusted according to the adjustment values ​​indicated by matrix G. For example, matrix X = matrix B + matrix G. Therefore, matrix B can also be called a basis matrix, and matrix G can also be called a gradient matrix.

[0219] In some implementations, the initial values ​​of the first parameters associated with the target transmission resources in the first resource set may be the same, which helps to simplify the configuration process of the initial values. k,i＝ B k,j =Y(i≠j, i, j∈[1,M], k∈[1,N]) Of course, in the embodiment of the present application, the initial value of the first parameter may also be different.

[0220] For ease of understanding, the following describes the changing trend of the first parameter in the first resource set using matrix X, matrix B, and matrix G in conjunction with Figures 58 to 60. It should be understood that the above text follows the order of the time domain units from early to late in the time domain, and the first parameter associated with the target transmission resource increases. After being combined with the axisymmetric changing trend of the first parameter, the changing trend of the first parameter can be replaced by decreasing from the center position of matrix X to the edge position of matrix X in matrix X. Correspondingly, the changing trend of the adjustment value in matrix G can be decreasing from the center position of matrix G to the edge position of matrix G. For ease of description, the following description will be made using the changing trend after the above replacement as an example.

[0221] Assume that matrix X is generated by adding matrix B and matrix G, that is, matrix X = matrix B + matrix G. Among them, the initial values ​​of the first parameters indicated in matrix B are the same, that is, matrix B satisfies B k,i＝ B k,j =Y(i≠j, i,j∈[1,M], k∈[1,N]). The changing trend of the adjustment value in the matrix G is the same as the changing trend of the first parameter in the matrix X, that is, the change of the adjustment value in the matrix G satisfies the following conditions: the adjustment values ​​of the target transmission resources at different frequency domain positions associated with the same time domain unit in the matrix G are the same, and the adjustment values ​​of the target transmission resources at different time domain units associated with the same frequency domain position are different. The adjustment values ​​at the left and right ends of the matrix G are less than or equal to the adjustment values ​​at the center position of the matrix, and the changing trend of the adjustment value in the matrix G is axially symmetric with the adjustment value associated with the center time domain position as the central axis. Accordingly, the change of the adjustment value in the matrix G can be expressed as: G k,i =G k,M-i+1 (i∈[1,M],k∈[1,N]),G k,i ≤G k,i+1 (i∈[1,□M62□],k∈[1,N]), and if M is an odd number, G k,□M / 2□ =P(k∈[1,N]), if M is an even number, G k,M / 2 =G k,M / 2+1 =P(k∈[1,N]), where P represents the value of the adjustment value of the matrix G at the central axis. In addition, the adjustment value in the matrix G decreases from the central axis to the edge of the matrix G according to the F rule, and when S is reduced After q time domain units, the remaining time domain units are set to zero. The F rule may include decreasing by a proportional coefficient r (r<1) every q time domain units, and decreasing by a first step length t (t□S / q□≤1) every q time domain units. Indicates rounding down.

[0222] The following describes the construction scheme of the matrix X in the embodiment of the present application in conjunction with Figures 29 to 31. It should be noted that the embodiment of the present application does not specifically limit the parameters involved below. In some cases, the process of constructing the matrix X may include some of the parameters mentioned below. In addition, the parameters mentioned below can also be replaced with other parameters with similar functions.

[0223] As shown in FIG29 , the matrix X shown in FIG26 can be constructed by the formula matrix X = matrix B + matrix G, where Y = 0.1, S = 3, P = 0.6, q = 1, r = 0.5, and rule F includes decreasing by a proportional coefficient r = 0.5 every q = 1 time domain unit, and after decreasing by S = 3 columns, the values ​​of the remaining columns are zero. In other words, the initial value of the first parameter in matrix B is 0.1. The changing rules of the adjustment value in matrix G include: G k,i =G k,M-i+1 (i∈[1,M],k∈[1,N]),G k,i ≤G k,i+1 (i∈[1,□M / 2□], k∈[1,N]); G k,M / 2 =G k,M / 2+1 =P=0.6(k∈[1,N]), that is, when the value of M is 14, the adjustment values ​​of the 7th and 8th columns in the matrix G are 0.6; and, after decreasing by 3 columns according to the F rule starting from the 7th column to the left of the matrix G (that is, decreasing from the 7th column to the 5th column), the adjustment values ​​in the remaining columns are 0; after decreasing by 3 columns according to the F rule starting from the 8th column to the right of the matrix G (that is, decreasing from the 8th column to the 10th column), the adjustment values ​​in the remaining columns are 0.

[0224] Accordingly, referring to FIG29 , the change trend of the matrix X obtained by superimposing the matrix B and the matrix G can satisfy the following: k,i =X k,M-i+1 (i∈[1,M],k∈[1,N]),X k,i ≤X k,i+1 (i∈[1,□M / 2□], k∈[1,N]); k,M / 2 =X k,M / 2+1=P+Y=0.7(k∈[1,N]), that is, when the value of M is 14, the value of the first parameter in the 7th and 8th columns of the matrix X is 0.7; and, starting from the 7th column and decreasing by 3 columns to the left of the matrix X according to the F rule (that is, decreasing from the 7th column to the 5th column), the value of the first parameter in the remaining columns is 0; starting from the 8th column and decreasing by 3 columns to the right of the matrix X according to the F rule (that is, decreasing from the 8th column to the 10th column), the value of the first parameter in the remaining columns is 0.

[0225] As shown in FIG30 , the matrix X shown in FIG27 can be constructed by the formula matrix X = matrix B + matrix G, where Y = 0.1, S = 4, P = 0.6, q = 2, r = 0.4, and rule F includes decreasing by a proportional coefficient r = 0.4 every q = 2 time domain units, and after decreasing by S = 4 columns, the values ​​of the remaining columns are zero. In other words, the initial value of the first parameter in matrix B is 0.1. The changing rules of the adjustment value in matrix G include: G k,i =G k,M-i+1 (i∈[1,M],k∈[1,N]),G k,i ≤G k,i+1 (i∈[1,□M / 2□], k∈[1,N]); G k,M / 2 =G k,M / 2+1 =P=0.6(k∈[1,N]), that is, when the value of M is 14, the adjustment values ​​of the 7th and 8th columns in the matrix G are 0.6; and, after decreasing by 4 columns according to the F rule starting from the 7th column to the left of the matrix G (that is, decreasing from the 7th column to the 4th column), the adjustment values ​​in the remaining columns are 0; after decreasing by 4 columns according to the F rule starting from the 8th column to the right of the matrix G (that is, decreasing from the 8th column to the 11th column), the adjustment values ​​in the remaining columns are 0.

[0226] Accordingly, referring to FIG30 , the change trend of the matrix X obtained by superimposing the matrix B and the matrix G can satisfy the following: k,i =X k,M-i+1 (i∈[1,M],k∈[1,N]),X k,i ≤X k,i+1 (i∈[1,□M / 2□], k∈[1,N]); k,M / 2 =X k,M / 2+1 =P+Y=0.7(k∈[1,N]), that is, when the value of M is 14, the value of the first parameter of the 7th and 8th columns in the matrix X is 0.7; and after decreasing by 4 columns according to the F rule starting from the 7th column to the left of the matrix X (that is, decreasing from the 7th column to the 4th column), the value of the first parameter in the remaining columns is 0; after decreasing by 4 columns according to the F rule starting from the 8th column to the right of the matrix 4 (that is, decreasing from the 8th column to the 11th column), the value of the first parameter in the remaining columns is 0.

[0227] As shown in FIG31 , the matrix X shown in FIG28 can be constructed by the formula matrix X = matrix B + matrix G, where Y = 0.1, S = 4, P = 0.6, q = 4, and rule F includes decreasing every q = 4 time domain units with a first step length of t = 1, and after decreasing S = 4 columns, the values ​​of the remaining columns are zero. In other words, the initial value of the first parameter in matrix B is 0.1. The changing rules of the adjustment value in matrix G include: G k,i =G k,M-i+1 (i∈[1,M],k∈[1,N]),G k,i ≤G k,i+1 (i∈[1,□M / 2□], k∈[1,N]); G k,M / 2 =G k,M / 2+1 =P=0.6(k∈[1,N]), that is, when the value of M is 14, the adjustment values ​​of the 7th and 8th columns in the matrix G are 0.6; and, after decreasing by 4 columns according to the F rule starting from the 7th column to the left of the matrix G (that is, decreasing from the 7th column to the 4th column), the adjustment values ​​in the remaining columns are 0; after decreasing by 4 columns according to the F rule starting from the 8th column to the right of the matrix G (that is, decreasing from the 8th column to the 11th column), the adjustment values ​​in the remaining columns are 0.

[0228] Accordingly, referring to FIG31 , the change trend of the matrix X obtained by superimposing the above matrix B and matrix G can satisfy the following: k,i =X k,M-i+1 (i∈[1,M],k∈[1,N]),X k,i ≤X k,i+1 (i∈[1,□M / 2□], k∈[1,N]); k,M / 2 =X k,M / 2+1 =P+Y=0.7(k∈[1,N]), that is, when the value of M is 14, the value of the first parameter of the 7th and 8th columns in the matrix X is 0.7; and after decreasing by 4 columns according to the F rule starting from the 7th column to the left of the matrix X (that is, decreasing from the 7th column to the 4th column), the value of the first parameter in the remaining columns is 0; after decreasing by 4 columns according to the F rule starting from the 8th column to the right of the matrix 4 (that is, decreasing from the 8th column to the 11th column), the value of the first parameter in the remaining columns is 0.

[0229] In Example 4-3, the target transmission resource located between the first time domain position and the second time domain position satisfies Rule 4-3.

[0230] In some implementations, Rule 4-3 includes decreasing the first parameter associated with each target transmission resource in order of the time domain units from earliest to latest in the time domain. For example, if time domain unit 1 is earlier in the time domain than time domain unit 2, then the value of the first parameter associated with the target transmission resource in time domain unit 1 is greater than the value of the first parameter associated with the target transmission resource in time domain unit 2.

[0231] In some implementations, if the above rule 4-3 is combined with the previously described axisymmetric change trend of the first parameter in the first resource set, as shown below in conjunction with FIG64 , the change trend of the first parameter associated with the target transmission resource in the first resource set is increasing from the center time domain position to the edge time domain position, or in other words, decreasing from the edge time domain position to the center time domain position. This change trend of the first parameter can be applicable to scenarios where the communication device moves at a low speed.

[0232] It should be noted that the first parameters associated with the target transmission resources in the same time domain unit in the above-mentioned first resource set can be the same, or in other words, the first parameters associated with the target transmission resources corresponding to different frequencies in the above-mentioned time domain unit can be the same. Of course, in the embodiment of the present application, the first parameters associated with the target transmission resources in the same time domain unit in the above-mentioned first resource set can also be partially or completely different.

[0233] In the embodiments of the present application, the manner in which the first parameter is changed is not limited. For example, the first parameter associated with the first resource set can be reduced according to a fixed step size, where the fixed step size can be a fixed value (e.g., 0.05) or a fixed ratio value (e.g., 0.5%). For another example, the first parameter associated with the first resource set can be reduced according to a variable step size.

[0234] For ease of understanding, the following describes a variation of the first parameter in an embodiment of the present application in conjunction with Figure 64. Assuming that the first resource set is an RB, the target transmission resource in the first resource set can be represented as N×M REs.

[0235] As shown in Figure 32, the second time domain position 3210 is the central time domain position of the RB, and the first time domain position 3220 is the time domain position of the earliest RE in the RB. Accordingly, the first parameter associated with the target transmission resource between the second time domain position 3210 and the first time domain position 3220 satisfies the above rule 4-3, that is, the first parameter associated with each target transmission resource decreases in the order of the time domain units from early to late in the time domain. In addition, the change trend of the first parameter associated with the time domain units in the first resource set is axially symmetric, that is, the change trend of the first parameter associated with the target transmission resource between the latest RE in the time domain position in the first resource set (see 3230) and the second time domain position is opposite to the change trend of the first parameter associated with the target transmission resource between the second time domain position 3210 and the first time domain position 3220. At this point, it can be understood that in the first resource set, the change trend of the first parameter associated with the target transmission resource is decreasing from the edge time domain position to the center time domain position.

[0236] In Example 4-4, the target transmission resource located between the first time domain position and the second time domain position satisfies Rule 4-4.

[0237] In some implementations, Rule 4-4 includes decreasing the first parameter associated with the target transmission resource every q time domain units in a time domain order from earliest to latest, where q is a positive integer greater than or equal to 0. It should be understood that when the value of q is 0, the changing trend of the first parameter associated with the target transmission resource in the first resource set can be seen in the relevant description of Example 4-3, and for the sake of brevity, it is not repeated here.

[0238] In some implementations, the value of q may be a fixed value. Of course, in other implementations, the value of q may be variable, for example, the value of q may be randomly variable.

[0239] In addition, in the embodiments of the present application, the manner in which the first parameter is varied is not limited. In some implementations, the first parameter may vary according to a first ratio. For example, the adjustment method of the first parameter may include varying the first parameter by a ratio coefficient r every q time domain units. In other implementations, the first parameter may vary according to a first step length. For another example, the adjustment method of the first parameter may include varying the first parameter by a first step length every q time domain units.

[0240] In some implementations, if the above rule 4-4 is combined with the previously described axisymmetric trend of the change of the first parameter in the first resource set, as shown below in conjunction with FIG33 or FIG34 , the change trend of the first parameter associated with the target transmission resource in the first resource set is decreasing from the edge time domain position to the center time domain position. This first parameter change trend can be applicable to scenarios where the communication device moves at a low speed.

[0241] It should be noted that the first parameters associated with the target transmission resources in the same time domain unit in the above-mentioned first resource set can be the same, or in other words, the first parameters associated with the target transmission resources corresponding to different frequencies in the above-mentioned time domain unit can be the same. Of course, in the embodiment of the present application, the first parameters associated with the target transmission resources in the same time domain unit in the above-mentioned first resource set can also be partially or completely different.

[0242] In the embodiments of the present application, the adjustment method of the first parameter is not limited. For example, the first parameter associated with the first resource set can be increased according to a fixed step size, where the fixed step size can be a fixed value (e.g., 0.05) or a fixed ratio value (e.g., 0.5%). For another example, the first parameter associated with the first resource set can be increased according to a variable step size.

[0243] For ease of understanding, the following describes how the first parameter varies in an embodiment of the present application in conjunction with Figures 33 and 34. Assuming that the first resource set is an RB, the target transmission resource in the first resource set can be represented as N×M REs.

[0244] As shown in Figure 33, assuming that the value of q is 2, the second time domain position 3310 is the center time domain position of the RB, and the first time domain position 3320 is the time domain position of the earliest RE in the RB. Accordingly, the first parameter associated with the target transmission resource between the second time domain position 3310 and the first time domain position 3320 satisfies the above-mentioned rule 4-4, i.e., the first parameter associated with the target transmission resource decreases every two time domain units in the order of the time domain units from earliest to latest in the time domain. In addition, the changing trend of the first parameter associated with the time domain units in the first resource set is axisymmetric. That is, the changing trend of the first parameter associated with the target transmission resource between the latest RE in the time domain position in the first resource set (see 3330) and the second time domain position is opposite to the changing trend of the first parameter associated with the target transmission resource between the second time domain position 3310 and the first time domain position 3320. In this case, it can be understood that in the first resource set, the changing trend of the first parameter associated with the target transmission resource decreases from the edge time domain position to the center time domain position.

[0245] As shown in Figure 34, assuming that the value of q is 2, the second time domain position 3410 is the center time domain position of the RB, and the first time domain position 3420 is the time domain position of the earliest RE in the RB. Accordingly, the first parameter associated with the target transmission resource between the second time domain position 3410 and the first time domain position 3420 satisfies the above-mentioned rule 4-4, i.e., the first parameter associated with the target transmission resource decreases every two time domain units in the order of the time domain units from earliest to latest in the time domain. In addition, the changing trend of the first parameter associated with the time domain units in the first resource set is axisymmetric. That is, the changing trend of the first parameter associated with the target transmission resource between the latest RE in the time domain position in the first resource set (see 3430) and the second time domain position is opposite to the changing trend of the first parameter associated with the target transmission resource between the second time domain position 3410 and the first time domain position 3420. In this case, it can be understood that in the first resource set, the changing trend of the first parameter associated with the target transmission resource decreases from the edge time domain position to the center time domain position.

[0246] In some scenarios, the change trend of the first parameter introduced above in combination with Example 4-3 and Example 4-4 can be represented by two parameters (parameter 1 and parameter 2), wherein parameter 1 represents the initial value of the first parameter associated with each target transmission resource in the first resource set. Parameter 2 represents the adjusted value of the first parameter associated with the target transmission resource in the first resource set. The setting of parameter 2 can make the change of the first parameter associated with the target transmission resource in the first resource set meet the above-mentioned rule 4-3 and / or rule 4-4. That is to say, the first parameter is based on the initial value indicated by parameter 1 and is adjusted according to the adjusted value indicated by parameter 2. Therefore, it can be seen that the change trend of the first parameter associated with the target transmission resource in the first resource set is determined based on the change trend of the adjustment value in parameter 2, or in other words, the change trend of the first parameter associated with the target transmission resource in the first resource set matches the change trend of the adjustment value in parameter 2. For example, the change trend of the first parameter associated with the target transmission resource in the first resource set is the same as the change trend of the adjustment value in parameter 2.

[0247] Taking the example of the target transmission resources included in the first resource set represented as an N×M matrix, the first parameter associated with the target transmission resources in the first resource set can be represented as matrix X. Parameter 1 and parameter 2 can be represented by N×M matrix B and N×M matrix G, respectively. Accordingly, matrix X is based on the initial values ​​indicated by matrix B and is adjusted according to the adjustment values ​​indicated by matrix G. For example, matrix X = matrix B + matrix G. Therefore, matrix B can also be called a basis matrix, and matrix G can also be called a gradient matrix.

[0248] In some implementations, the initial values ​​of the first parameters associated with the target transmission resources in the first resource set may be the same, which helps to simplify the configuration process of the initial values. k,i＝ B k,j =Y(i≠j, i, j∈[1,M], k∈[1,N]) Of course, in the embodiment of the present application, the initial value of the first parameter may also be different.

[0249] For ease of understanding, the following describes the changing trend of the first parameter in the first resource set using matrix X, matrix B, and matrix G in conjunction with Figures 67 to 69. It should be understood that the first parameter associated with the target transmission resource increases in the order of the time domain units from early to late in the time domain, and after being combined with the axisymmetric trend of the changing trend of the first parameter, the changing trend of the first parameter includes a decreasing trend from the edge position of the matrix X to the center position of the matrix X in the matrix X. Correspondingly, the changing trend of the adjustment value in the matrix G can be a decreasing trend from the edge position of the matrix G to the center position of the matrix G. For ease of description, the following describes the changing trend after the above replacement as an example.

[0250] Assume that matrix X is generated by adding matrix B and matrix G, that is, matrix X = matrix B + matrix G. Among them, the initial values ​​of the first parameters indicated in matrix B are the same, that is, matrix B satisfies B k,i＝ B k,j =Y(i≠j, i,j∈[1,M], k∈[1,N]). The changing trend of the adjustment value in the matrix G is the same as the changing trend of the first parameter in the matrix X, that is, the change of the adjustment value in the matrix G satisfies the following conditions: the adjustment values ​​of the target transmission resources at different frequency domain positions associated with the same time domain unit in the matrix G are the same, and the adjustment values ​​of the target transmission resources at different time domain units associated with the same frequency domain position are different. The adjustment values ​​at the left and right ends of the matrix G are less than or equal to the adjustment values ​​at the center position of the matrix, and the changing trend of the adjustment value in the matrix G is axially symmetric with the adjustment value associated with the center time domain position as the central axis. Accordingly, the change of the adjustment value in the matrix G can be expressed as: G k,i =G k,M-i+1 (i∈[1,M],k∈[1,N]),G k,i ≥G k,i+1 (i∈[1,□M / 2□],k∈[1,N]), and G k,1 =G k,M =P(k∈[1,N]), where P represents the value of the adjustment value of the matrix G located at the edge column of the matrix. In addition, the adjustment value in the matrix G decreases from the edge column of the matrix to the center column of the matrix G according to the F rule, and when reducing S After q time domain units, the remaining time domain units are set to zero. The F rule may include decreasing by a proportional coefficient r (r<1) every q time domain units, and decreasing by a first step length t (t□S / q□≤1) every q time domain units. Indicates rounding down.

[0251] The following describes the construction scheme of the matrix X in the embodiment of the present application in conjunction with Figures 35 to 37. It should be noted that the embodiments of the present application do not specifically limit the parameters mentioned below. In some cases, the process of constructing the matrix X may include some of the parameters mentioned below. In addition, the parameters mentioned below can also be replaced with other parameters with similar functions.

[0252] As shown in FIG35 , the matrix X shown in FIG32 can be constructed by the formula matrix X = matrix B + matrix G, where Y = 0.1, S = 4, P = 0.6, q = 1, r = 0.5, and rule F includes decreasing by a proportional coefficient r = 0.5 every q = 1 time domain unit, and after decreasing by S = 4 columns, the values ​​of the remaining columns are zero. In other words, the initial value of the first parameter in matrix B is 0.1. The changing rules of the adjustment value in matrix G include: G k,i =G k,M-i+1 (i∈[1,M],k∈[1,N]),G k,i ≥G k,i+1 (i∈[1,□M / 2□], k∈[1,N]); G k,1 =G k,M =P(k∈[1,N]), that is, the adjustment values ​​of the 1st and 14th columns in the matrix G are 0.6; and, after decreasing by 4 columns according to the F rule starting from the 14th column to the left of the matrix G (that is, decreasing from the 14th column to the 11th column), the adjustment values ​​of the remaining columns are 0; after decreasing by 4 columns according to the F rule starting from the 1st column to the right of the matrix G (that is, decreasing from the 1st column to the 4th column), the adjustment values ​​of the remaining columns are 0.

[0253] Accordingly, referring to FIG35 , the change trend of the matrix X obtained by superimposing the above matrix B and matrix G can satisfy the following: k,i =X k,M-i+1 (i∈[1,M],k∈[1,N]),X k,i ≥X k,i+1 (i∈[1,□M / 2□], k∈[1,N]); k,1 =X k,M= P + Y = 0.7 (k∈[1, N]), that is, the value of the first parameter of the 1st and 14th columns in the matrix X is 0.7; and, starting from the 14th column and decreasing by 4 columns to the left of the matrix X according to the F rule (that is, decreasing from the 14th column to the 11th column), the value of the first parameter in the remaining columns is 0; starting from the 1st column and decreasing by 4 columns to the right of the matrix X according to the F rule (that is, decreasing from the 1st column to the 4th column), the value of the first parameter in the remaining columns is 0.

[0254] As shown in FIG36 , the matrix X shown in FIG33 can be constructed by the formula matrix X = matrix B + matrix G, where Y = 0.1, S = 6, P = 0.6, q = 2, r = 0.5, and rule F includes decreasing by a proportional coefficient r = 0.4 every q = 2 time domain units, and after decreasing by S = 6 columns, the values ​​of the remaining columns are zero. In other words, the initial value of the first parameter in matrix B is 0.1. The changing rules of the adjustment values ​​in matrix G include: G k,i =G k,M-i+1 (i∈[1,M],k∈[1,N]),G k,i ≥G k,i+1 (i∈[1,□M / 2□], k∈[1,N]); G k,1 =G k,M =P=0.6(k∈[1,N]), that is, the adjustment values ​​of the 1st and 14th columns in the matrix G are 0.6; and, after decreasing by 6 columns according to the F rule starting from the 14th column to the left of the matrix G (that is, decreasing from the 14th column to the 9th column), the adjustment values ​​in the remaining columns are 0; after decreasing by 6 columns according to the F rule starting from the 1st column to the right of the matrix G (that is, decreasing from the 1st column to the 6th column), the adjustment values ​​in the remaining columns are 0.

[0255] Accordingly, referring to FIG36 , the change trend of the matrix X obtained by superimposing the above matrix B and matrix G can satisfy the following: k,i =X k,M-i+1 (i∈[1,M],k∈[1,N]),X k,i ≥X k,i+1 (i∈[1,□M / 2□], k∈[1,N]); k,1 =X k,M = P + Y = 0.7 (k∈[1,N]), that is, the value of the first parameter of the 1st and 14th columns in the matrix X is 0.7; and, starting from the 14th column and decreasing by 6 columns to the left of the matrix X according to the F rule (that is, decreasing from the 14th column to the 9th column), the value of the first parameter in the remaining columns is 0; starting from the 1st column and decreasing by 6 columns to the right of the matrix X according to the F rule (that is, decreasing from the 1st column to the 6th column), the value of the first parameter in the remaining columns is 0.

[0256] As shown in FIG37 , the matrix X shown in FIG34 can be constructed by the formula matrix X = matrix B + matrix G, where Y = 0.1, S = 2, P = 0.6, q = 2, and rule F includes decreasing every q = 2 time domain units with a first step length of t = 1, and after decreasing S = 2 columns, the values ​​of the remaining columns are set to zero. In other words, the initial value of the first parameter in matrix B is 0.1. The changing rules of the adjustment value in matrix G include: G k,i =G k,M-i+1 (i∈[1,M],k∈[1,N]),G k,i ≥G k,i+1 (i∈[1,□M / 2□], k∈[1,N]); G k,1 =G k,M =P=0.6(k∈[1,N]), that is, the adjustment values ​​of the 1st and 14th columns in the matrix G are 0.6; and, after decreasing by 2 columns according to the F rule starting from the 14th column to the left of the matrix G (that is, decreasing from the 14th column to the 13th column), the adjustment values ​​in the remaining columns are 0; after decreasing by 2 columns according to the F rule starting from the 1st column to the right of the matrix G (that is, decreasing from the 1st column to the 2nd column), the adjustment values ​​in the remaining columns are 0.

[0257] Accordingly, referring to FIG37 , the change trend of the matrix X obtained by superimposing the above matrix B and matrix G can satisfy the following: k,i =X k,M-i+1 (i∈[1,M],k∈[1,N]),X k,i ≥X k,i+1 (i∈[1,□M / 2□], k∈[1,N]); k,1 =X k,M = P + Y = 0.7 (k∈[1,N]), that is, the value of the first parameter of the first and fourteenth columns in the matrix X is 0.7; and, starting from the fourteenth column and decreasing by two columns to the left of the matrix X according to the F rule (that is, decreasing from the fourteenth column to the thirteenth column), the value of the first parameter in the remaining columns is 0; starting from the first column and decreasing by two columns to the right of the matrix X according to the F rule (that is, decreasing from the first column to the second column), the value of the first parameter in the remaining columns is 0.

[0258] Non-orthogonal transmission mode 5, first parameters associated with multiple target transmission resources located in different frequency domain units in the second resource set are partially or completely different, wherein the second resource set may include one or more target transmission resources.

[0259] For example, the second resource set may include frequency domain unit 1 and frequency domain unit 2, and the first parameter associated with the target transmission resource in frequency domain unit 1 is different from the first parameter associated with the target transmission resource in frequency domain unit 2. Frequency domain unit 1 and frequency domain unit 2 are two frequency domain units in the second resource set, or frequency domain unit 1 and frequency domain unit 2 are any two frequency domain units in the second resource set.

[0260] For another example, the second resource set may include frequency domain units 1 to 5, and the first parameter associated with the target transmission resource in frequency domain unit 1 is different from the first parameter associated with the target transmission resource in frequency domain unit 5. In addition, the first parameters associated with the target transmission resources in frequency domain units 2 to 4 are the same.

[0261] In the embodiment of the present application, there is no limitation on the manner in which the first parameter associated with the target transmission resource in different frequency domain units in the second resource set changes. The following describes the change pattern of the first parameter in the embodiment of the present application based on the first frequency domain position and the second frequency domain position, combined with Examples 5-1 to 5-4. The first frequency domain position and the second frequency domain position are two different time domain positions in the time domain position where the target transmission resource in the second resource set is located.

[0262] In some implementations, the first frequency domain position may be the frequency domain position with the lowest frequency domain within the frequency range corresponding to the second resource set, or in other words, the frequency corresponding to the first frequency domain position in the frequency domain is lower than the other frequency domain positions in the second resource set except the first frequency domain position. Taking the second resource set as the RB, the first frequency domain position may be the frequency domain position of the RE with the lowest frequency in the RB (or the RE with index 0). The indexes of the REs in the RB are numbered sequentially from low to high frequency. Of course, in an embodiment of the present application, the first frequency domain position may be the frequency domain position with the highest frequency domain within the frequency range corresponding to the second resource set, or in other words, the frequency corresponding to the first frequency domain position in the frequency domain is higher than the other frequency domain positions in the second resource set except the first frequency domain position. Taking the second resource set as the RB, the first frequency domain position may be the frequency domain position of the RE with the highest frequency in the RB (or the RE with the largest index). The indexes of the REs in the RB are numbered sequentially from low to high frequency.

[0263] In other implementations, the second frequency domain position is the center frequency domain position of the second resource set. The center frequency domain position may include one or more frequency domain units. For example, if the second resource set includes RE1, RE2, and RE3, which are consecutive in the frequency domain, the center frequency domain position of the second resource set may be the frequency domain position of RE2. For example, if the second resource set includes RE1, RE2, RE3, RE4, and RE5, which are consecutive in the frequency domain, the center frequency domain position of the second resource set may be the frequency domain positions of RE2 to RE4.

[0264] Of course, in an embodiment of the present application, the second frequency domain position may be the frequency domain position with the lowest frequency domain within the frequency range corresponding to the second resource set, or in other words, the frequency corresponding to the second frequency domain position in the frequency domain is lower than the other frequency domain positions in the second resource set except the second frequency domain position. Taking the second resource set as RB, the second frequency domain position may be the frequency domain position of the RE with the lowest frequency in the RB (or the RE with index 0). The indexes of the REs in the RB are numbered sequentially from low to high frequency. Alternatively, the second frequency domain position may be the frequency domain position with the highest frequency domain within the frequency range corresponding to the second resource set, or in other words, the frequency corresponding to the second frequency domain position in the frequency domain is higher than the other frequency domain positions in the second resource set except the second frequency domain position. Taking the second resource set as RB, the second frequency domain position may be the frequency domain position of the RE with the highest frequency in the RB (or the RE with the largest index). The indexes of the REs in the RB are numbered sequentially from low to high frequency.

[0265] In the embodiment of the present application, there is no limitation on the combination of the first frequency domain position and the second frequency domain position. For example, the first frequency domain position is the frequency domain position with the lowest frequency domain within the frequency range corresponding to the second resource set, and the second frequency domain position may be the frequency domain position with the highest frequency domain within the frequency range corresponding to the second resource set. For another example, the first frequency domain position is the frequency domain position with the lowest frequency domain within the frequency range corresponding to the second resource set, and the second frequency domain position may be the center frequency domain position of the second resource set. For another example, the first frequency domain position is the frequency domain position with the highest frequency domain within the frequency range corresponding to the second resource set, and the second frequency domain position may be the center frequency domain position of the second resource set.

[0266] In some implementations, if the second frequency domain position is the center frequency domain position, the change trend of the first parameter in the second resource set can be axially symmetrical, where axial symmetry can be understood as axial symmetry with the center frequency domain position as the center axis, that is, if the second frequency domain position is the center frequency domain position, then the change trends of the first parameter associated with the target transmission resources on both sides of the second frequency domain position are opposite. Of course, in the embodiment of the present application, if the second frequency domain position is the center frequency domain position, then the change trends of the first parameter associated with the target transmission resources on both sides of the second frequency domain position can be the same, and the embodiment of the present application does not limit this.

[0267] In Example 5-1, the target transmission resource located between the first frequency domain position and the second frequency domain position satisfies Rule 5-1.

[0268] In some implementations, Rule 5-1 includes increasing the first parameter associated with each target transmission resource in ascending order of the frequency domain units in the frequency domain. For example, if the frequency of frequency domain unit 1 is lower than the frequency of frequency domain unit 2 in the frequency domain, the value of the first parameter associated with the target transmission resource in frequency domain unit 1 is lower than the value of the first parameter associated with the target transmission resource in frequency domain unit 2.

[0269] In some implementations, if the above rule 4-1 is combined with the axisymmetric change trend of the first parameter in the second resource set introduced above, see below in combination with Figures 38 to 39, the change trend of the first parameter associated with the target transmission resource in the second resource set is decreasing from the center frequency domain position to the edge frequency domain position.

[0270] It should be noted that the first parameters associated with the target transmission resources in the same frequency domain unit in the above-mentioned second resource set can be the same, or in other words, the first parameters associated with the target transmission resources corresponding to different time domain units in the above-mentioned same frequency domain unit can be the same. Of course, in an embodiment of the present application, the first parameters associated with the target transmission resources in the same frequency domain unit in the above-mentioned second resource set can also be partially or completely different.

[0271] In the embodiments of the present application, the manner in which the first parameter is increased is not limited. For example, the first parameter associated with the second resource set may be increased in a fixed step size, where the fixed step size may be a fixed value (e.g., 0.05) or a fixed ratio value (e.g., 0.5%). For another example, the first parameter associated with the second resource set may be increased in a variable step size.

[0272] For ease of understanding, the following describes the variation of the first parameter in an embodiment of the present application in conjunction with Figure 38. Assuming that the second resource set is an RB, the target transmission resource in the second resource set can be represented as N×M REs.

[0273] As shown in Figure 38, the second frequency domain position 3810 is the center frequency domain position of the RB, and the first frequency domain position 3820 is the frequency domain position corresponding to the RE with the lowest frequency in the RB. Accordingly, the first parameter associated with the target transmission resource between the second frequency domain position 3810 and the first frequency domain position 3820 satisfies the above rule 5-1, that is, the first parameter associated with each target transmission resource increases in order from low to high frequency in the frequency domain. In addition, the change trend of the first parameter associated with the frequency domain unit in the second resource set is axially symmetrical, that is, the change trend of the first parameter associated with the target transmission resource between the RE with the highest frequency domain in the second resource set (see 3830) and the second frequency domain position is opposite to the change trend of the first parameter associated with the target transmission resource between the second frequency domain position 3810 and the first frequency domain position 3820. At this point, it can be understood that in the second resource set, the change trend of the first parameter associated with the target transmission resource is decreasing from the center frequency domain position to the edge frequency domain position.

[0274] In Example 5-2, the target transmission resource located between the first frequency domain position and the second frequency domain position satisfies Rule 5-2.

[0275] In some implementations, Rule 5-2 includes increasing the first parameter associated with the target transmission resource every q frequency domain units in ascending order of the frequency domain units in the frequency domain, where q is a positive integer greater than or equal to 0. It should be understood that if the value of q is 0, the changing trend of the first parameter associated with the target transmission resource in the second resource set can be referred to the relevant description in Example 5-1, and for the sake of brevity, it is not repeated here.

[0276] In some implementations, the value of q may be a fixed value. Of course, in other implementations, the value of q may be variable, for example, the value of q may be randomly variable.

[0277] In addition, in the embodiments of the present application, the manner in which the first parameter is varied is not limited. In some implementations, the first parameter may vary according to a first ratio. For example, the manner in which the first parameter is varied may include varying the first parameter by a proportional coefficient r every q frequency domain units. In other implementations, the first parameter may vary by a first step length. For another example, the manner in which the first parameter is varied may include varying the first parameter by a first step length every q frequency domain units.

[0278] In some implementations, if the above rule 5-2 is combined with the axisymmetric change trend of the first parameter in the second resource set introduced above, see below in combination with Figure 39, the change trend of the first parameter associated with the target transmission resource in the second resource set is decreasing from the center frequency domain position to the edge frequency domain position.

[0279] It should be noted that the first parameters associated with the target transmission resources in the same frequency domain unit in the above-mentioned second resource set can be the same, or in other words, the first parameters associated with the target transmission resources corresponding to different time domain units in the above-mentioned same frequency domain unit can be the same. Of course, in an embodiment of the present application, the first parameters associated with the target transmission resources in the same frequency domain unit in the above-mentioned second resource set can also be partially or completely different.

[0280] In the embodiments of the present application, the manner in which the first parameter is increased is not limited. For example, the first parameter associated with the second resource set may be increased in a fixed step size, where the fixed step size may be a fixed value (e.g., 0.05) or a fixed ratio value (e.g., 0.5%). For another example, the first parameter associated with the second resource set may be increased in a variable step size.

[0281] For ease of understanding, the following describes the variation of the first parameter in an embodiment of the present application in conjunction with Figure 38. Assuming that the second resource set is an RB, the target transmission resource in the second resource set can be represented as N×M REs.

[0282] As shown in Figure 39, assuming that the value of q is 2, the second frequency domain position 3910 is the center frequency domain position of the RB, and the first frequency domain position 3920 is the frequency domain position of the lowest-frequency RE in the RB. Accordingly, the first parameter associated with the target transmission resource between the second frequency domain position 3910 and the first frequency domain position 3920 satisfies the above rule 5-2, i.e., the first parameter associated with the target transmission resource increases every two frequency domain units, in descending order of the frequency domain units. In addition, the changing trend of the first parameter associated with the frequency domain units in the second resource set is axisymmetric. That is, the changing trend of the first parameter associated with the target transmission resource between the latest frequency domain position RE in the second resource set (see 3930) and the second frequency domain position is opposite to the changing trend of the first parameter associated with the target transmission resource between the second frequency domain position 3910 and the first frequency domain position 3920. In this case, it can be understood that in the second resource set, the changing trend of the first parameter associated with the target transmission resource is decreasing from the center frequency domain position to the edge frequency domain position.

[0283] In some scenarios, the change trend of the first parameter introduced above in combination with Example 5-1 and Example 5-2 can be represented by two parameters (parameter 1 and parameter 2), wherein parameter 1 represents the initial value of the first parameter associated with each target transmission resource in the second resource set. Parameter 2 represents the adjusted value of the first parameter associated with the target transmission resource in the second resource set. The setting of parameter 2 can make the change of the first parameter associated with the target transmission resource in the second resource set meet the above-mentioned rule 5-1 and / or rule 5-2. That is to say, the first parameter is based on the initial value indicated by parameter 1 and is adjusted according to the adjusted value indicated by parameter 2. Therefore, it can be seen that the change trend of the first parameter associated with the target transmission resource in the second resource set is determined based on the change trend of the adjustment value in parameter 2, or in other words, the change trend of the first parameter associated with the target transmission resource in the second resource set matches the change trend of the adjustment value in parameter 2, for example, the change trend of the first parameter associated with the target transmission resource in the second resource set is the same as the change trend of the adjustment value in parameter 2.

[0284] Taking the target transmission resources included in the second resource set as an N×M matrix as an example, the first parameter associated with the target transmission resources in the second resource set can be represented as matrix X. The above parameters 1 and 2 can be represented by N×M matrix B and N×M matrix G, respectively. Accordingly, matrix X is based on the initial value indicated by matrix B and is adjusted according to the adjustment value indicated by matrix G. For example, matrix X = matrix B + matrix G. Therefore, matrix B can also be called a basis matrix, and matrix G can also be called a gradient matrix.

[0285] In some implementations, the initial values ​​of the first parameters associated with the target transmission resources in the second resource set may be the same, which helps to simplify the configuration process of the initial values. k,i＝ B k,j =Y(i≠j, i, j∈[1,M], k∈[1,N]) Of course, in the embodiment of the present application, the initial value of the first parameter may also be different.

[0286] For ease of understanding, the following describes the changing trend of the first parameter in the second resource set using matrix X, matrix B, and matrix G in conjunction with Figures 69 to 38. It should be understood that, in the above text, the first parameter associated with the target transmission resource increases in the order of the frequency domain units from low to high in the frequency domain. After being combined with the axisymmetric trend of the changing trend of the first parameter, the changing trend of the first parameter can be replaced by a decreasing trend from the center position of the matrix X to the edge position of the matrix X in the matrix X. Correspondingly, the changing trend of the adjustment value in the matrix G can be a decreasing trend from the center position of the matrix G to the edge position of the matrix G. For ease of description, the following description will be given using the changing trend after the above replacement as an example.

[0287] Assume that matrix X is generated by adding matrix B and matrix G, that is, matrix X = matrix B + matrix G. Among them, the initial values ​​of the first parameters indicated in matrix B are the same, that is, matrix B satisfies B k,i＝ B k,j =Y(i≠j, i,j∈[1,M], k∈[1,N]). The changing trend of the adjustment value in the matrix G is the same as the changing trend of the first parameter in the matrix X, that is, the change of the adjustment value in the matrix G satisfies the following conditions: the adjustment values ​​of the target transmission resources at different time domain positions in the same frequency domain unit in the matrix G are the same, and the adjustment values ​​of the target transmission resources at different frequency domain units in the same time domain position are different. The adjustment values ​​at the upper and lower ends of the matrix G are less than or equal to the adjustment values ​​at the center of the matrix, and the changing trend of the adjustment value in the matrix G is axially symmetric with the center frequency domain position as the center. Accordingly, the change of the adjustment value in the matrix G can be expressed as: G k,i =G N-k+1,i (i∈[1,M],k∈[1,N]),G k,i ≤G k+1,i (i∈[1,□M□],k∈[1,N / 2]), and if N is an odd number, G □N / 2□,i =P(k∈[1,M]), if M is an even number, G N / 2,i =G N / 2+1,i =P(i∈[1,M]), where P represents the value of the adjustment value of the matrix G at the central axis. In addition, the adjustment value in the matrix G decreases from the central axis to the edge of the matrix G according to the F rule, and when S is reduced After q frequency domain units, the remaining frequency domain units are set to zero. Among them, the F rule can include decreasing once every q time domain units by a proportional coefficient r (r<1), and decreasing once every q time domain units by a first step length t (t□S / q□≤1). Indicates rounding down.

[0288] The following describes the construction scheme of the matrix X in the embodiment of the present application in conjunction with Figures 40 and 41. It should be noted that the embodiments of the present application do not specifically limit the parameters involved below. In some cases, the process of constructing the matrix X may include some of the parameters mentioned below. In addition, the parameters mentioned below can also be replaced with other parameters with similar functions.

[0289] As shown in FIG40 , the matrix X shown in FIG38 can be constructed by the formula matrix X = matrix B + matrix G, where Y = 0.1, S = 3, P = 0.6, q = 1, r = 0.5, and rule F includes decreasing by a proportional coefficient r = 0.5 every q = 1 frequency domain unit, and after decreasing by S = 3 rows, the values ​​of the remaining rows are zero. In other words, the initial value of the first parameter in matrix B is 0.1. The changing rules of the adjustment value in matrix G include: Gk,i =G N-k+1,i (i∈[1,M],k∈[1,N]),G k,i ≤G k+1,i (i∈[1,□M□],k∈[1,N / 2]);G N / 2,i =G N / 2+1,i =P=0.6(i∈[1,M]), that is, when the value of N is 12, the adjustment values ​​of the 6th and 7th rows in the matrix G are 0.6; and, after decreasing by 3 rows according to the F rule starting from the 6th row to the bottom of the matrix G (that is, decreasing from the 7th row to the 5th row), the adjustment values ​​in the remaining rows are 0; after decreasing by 3 rows according to the F rule starting from the 8th row to the top of the matrix G (that is, decreasing from the 8th row to the 10th row), the adjustment values ​​in the remaining rows are 0.

[0290] Accordingly, referring to FIG40 , the change trend of the matrix X obtained by superimposing the matrix B and the matrix G can satisfy the following: k,i =X N-k+1,i (i∈[1,M],k∈[1,N]),X k,i ≤X k+1,i (i∈[1,□M□], k∈[1,N / 2]); N / 2,i =X N / 2+1,i =P+Y=0.7(i∈[1,M]), that is, when the value of N is 12, the value of the first parameter in the 6th and 7th rows of the matrix X is 0.6; and, starting from the 6th row and decreasing by 3 rows according to the F rule toward the bottom of the matrix G (that is, decreasing from the 7th row to the 5th row), the value of the first parameter in the remaining rows is 0; starting from the 8th row and decreasing by 3 rows according to the F rule toward the top of the matrix G (that is, decreasing from the 8th row to the 10th row), the value of the first parameter in the remaining rows is 0.

[0291] As shown in FIG41 , the matrix X shown in FIG39 can be constructed by the formula matrix X = matrix B + matrix G, where Y = 0.1, S = 4, P = 0.6, q = 2, r = 0.5, and rule F includes decreasing by a proportional coefficient r = 0.5 every q = 2 frequency domain units, and after decreasing by S = 4 rows, the values ​​of the remaining rows are zero. In other words, the initial value of the first parameter in matrix B is 0.1. The changing rules of the adjustment value in matrix G include: G k,i =G N-k+1,i (i∈[1,M],k∈[1,N]),G k,i ≤G k+1,i (i∈[1,□M□],k∈[1,N / 2]);G N / 2,i =G N / 2+1,i=P=0.6(i∈[1,M]), that is, when the value of N is 12, the adjustment values ​​of the 6th and 7th rows in the matrix G are 0.6; and, after decreasing by 4 rows according to the F rule starting from the 6th row to the bottom of the matrix G (that is, decreasing from the 7th row to the 4th row), the adjustment values ​​in the remaining rows are 0; after decreasing by 4 rows according to the F rule starting from the 8th row to the top of the matrix G (that is, decreasing from the 8th row to the 11th row), the adjustment values ​​in the remaining rows are 0.

[0292] Accordingly, referring to FIG41 , the change trend of the matrix X obtained by superimposing the above matrix B and matrix G can satisfy the following: k,i =X N-k+1,i (i∈[1,M],k∈[1,N]),X k,i ≤X k+1,i (i∈[1,□M□], k∈[1,N / 2]); N / 2,i =X N / 2+1,i =P+Y=0.7(i∈[1,M]), that is, when the value of N is 12, the value of the first parameter in the 6th and 7th rows of the matrix X is 0.6; and, starting from the 6th row and decreasing by 4 rows according to the F rule toward the bottom of the matrix G (that is, decreasing from the 7th row to the 4th row), the value of the first parameter in the remaining rows is 0; starting from the 8th row and decreasing by 4 rows according to the F rule toward the top of the matrix G (that is, decreasing from the 8th row to the 11th row), the value of the first parameter in the remaining rows is 0.

[0293] In Example 5-3, the target transmission resource located between the first frequency domain position and the second frequency domain position satisfies Rule 5-3.

[0294] In some implementations, Rule 5-3 includes decreasing the first parameter associated with each target transmission resource in ascending order of the frequency domain units in the frequency domain. For example, if the frequency of frequency domain unit 1 is lower than the frequency of frequency domain unit 2 in the frequency domain, the value of the first parameter associated with the target transmission resource in frequency domain unit 1 is higher than the value of the first parameter associated with the target transmission resource in frequency domain unit 2.

[0295] In some implementations, if the above rule 5-3 is combined with the axisymmetric change trend of the first parameter in the second resource set introduced above, see below in combination with Figure 42, the change trend of the first parameter associated with the target transmission resource in the second resource set is decreasing from the edge frequency domain position to the center frequency domain position, or, in other words, increasing from the center frequency domain position to the edge frequency domain position.

[0296] It should be noted that the first parameters associated with the target transmission resources within the same frequency domain unit in the above-mentioned second resource set can be the same, or in other words, the first parameters associated with the target transmission resources corresponding to different time domain positions in the above-mentioned same frequency domain unit can be the same. Of course, in an embodiment of the present application, the first parameters associated with the target transmission resources within the same frequency domain unit in the above-mentioned second resource set can also be partially or completely different.

[0297] In the embodiments of the present application, the manner in which the first parameter is varied is not limited. For example, the first parameter associated with the second resource set may vary according to a fixed step size, where the fixed step size may be a fixed value (e.g., 0.05) or a fixed ratio value (e.g., 0.5%). For another example, the first parameter associated with the second resource set may vary according to a variable step size.

[0298] For ease of understanding, the following describes the variation of the first parameter in an embodiment of the present application in conjunction with Figure 42. Assuming that the second resource set is an RB, the target transmission resource in the second resource set can be represented as N×M REs.

[0299] As shown in Figure 42, the second frequency domain position 4210 is the center frequency domain position of the RB, and the first frequency domain position 4220 is the frequency domain position of the RE with the lowest frequency in the RB. Accordingly, the first parameter associated with the target transmission resource between the second frequency domain position 4210 and the first frequency domain position 4220 satisfies the above rule 5-3, that is, the first parameter associated with each target transmission resource decreases in the order of the frequency domain units from low to high in the frequency domain. In addition, the change trend of the first parameter associated with the frequency domain units in the second resource set is axially symmetrical, that is, the change trend of the first parameter associated with the target transmission resource between the RE with the highest frequency domain in the second resource set (see 4230) and the second frequency domain position is opposite to the change trend of the first parameter associated with the target transmission resource between the second frequency domain position 4210 and the first frequency domain position 4220. At this point, it can be understood that in the second resource set, the change trend of the first parameter associated with the target transmission resource is decreasing from the edge frequency domain position to the center frequency domain position.

[0300] In Example 5-4, the target transmission resource located between the first frequency domain position and the second frequency domain position satisfies Rule 5-4.

[0301] In some implementations, Rule 5-4 includes decreasing the first parameter associated with the target transmission resource every q frequency domain units in ascending order of the frequency domain units in the frequency domain, where q is a positive integer greater than or equal to 0. It should be understood that if the value of q is 0, the changing trend of the first parameter associated with the target transmission resource in the second resource set can be referred to the relevant description in Example 5-3, and for the sake of brevity, it is not repeated here.

[0302] In some implementations, the value of q may be a fixed value. Of course, in other implementations, the value of q may be variable, for example, the value of q may be randomly variable.

[0303] In addition, in the embodiments of the present application, the manner in which the first parameter is varied is not limited. In some implementations, the first parameter may vary according to a first ratio. For example, the adjustment manner of the first parameter may include varying the first parameter by a proportional coefficient r every q frequency domain units. In other implementations, the first parameter may vary by a first step length. For another example, the variation manner of the first parameter may include varying the first parameter by a first step length every q frequency domain units.

[0304] In some implementations, if the above rule 5-4 is combined with the axisymmetric change trend of the first parameter in the second resource set described above, as shown below in conjunction with FIG43, the change trend of the first parameter associated with the target transmission resource in the second resource set is decreasing from the edge frequency domain position to the center frequency domain position, or in other words, the change trend of the first parameter associated with the target transmission resource in the second resource set is decreasing from the center frequency domain position to the edge frequency domain position. This change trend of the first parameter can be applicable to scenarios where the communication device moves at a low speed.

[0305] It should be noted that the first parameters associated with the target transmission resources within the same frequency domain unit in the above-mentioned second resource set can be the same, or in other words, the first parameters associated with the target transmission resources corresponding to different time domain positions in the above-mentioned same frequency domain unit can be the same. Of course, in an embodiment of the present application, the first parameters associated with the target transmission resources within the same frequency domain unit in the above-mentioned second resource set can also be partially or completely different.

[0306] In the embodiments of the present application, there is no limitation on the manner in which the first parameter is adjusted. For example, the first parameter associated with the second resource set can be adjusted according to a fixed step size, where the fixed step size can be a fixed value (e.g., 0.05) or a fixed ratio value (e.g., 0.5%). For another example, the first parameter associated with the second resource set can be adjusted according to a variable step size.

[0307] For ease of understanding, the following describes the variation of the first parameter in an embodiment of the present application in conjunction with Figure 43. Assuming that the second resource set is an RB, the target transmission resource in the second resource set can be represented as N×M REs.

[0308] As shown in FIG43 , assuming that the value of q is 2, the second frequency domain position 4310 is the center frequency domain position of the RB, and the first frequency domain position 4320 is the frequency domain position of the lowest-frequency RE in the RB. Accordingly, the first parameter associated with the target transmission resource between the second frequency domain position 4310 and the first frequency domain position 4320 satisfies the above-mentioned rule 5-4, i.e., the first parameter associated with the target transmission resource decreases every two frequency domain units, in the order of the frequency domain units from low to high in the frequency domain. In addition, the change trend of the first parameter associated with the frequency domain units in the second resource set is axisymmetric. That is, the change trend of the first parameter associated with the target transmission resource between the RE with the highest frequency domain position in the second resource set (see 4330) and the second frequency domain position is opposite to the change trend of the first parameter associated with the target transmission resource between the second frequency domain position 4310 and the first frequency domain position 4320. In this case, it can be understood that in the second resource set, the change trend of the first parameter associated with the target transmission resource decreases from the edge frequency domain position to the center frequency domain position.

[0309] In some scenarios, the change trend of the first parameter introduced above in combination with Example 5-3 and Example 5-4 can be represented by two parameters (parameter 1 and parameter 2), wherein parameter 1 represents the initial value of the first parameter associated with each target transmission resource in the second resource set. Parameter 2 represents the adjusted value of the first parameter associated with the target transmission resource in the second resource set. The setting of parameter 2 can make the change of the first parameter associated with the target transmission resource in the second resource set meet the above-mentioned rule 5-3 and / or rule 5-4. That is to say, the first parameter is based on the initial value indicated by parameter 1 and is adjusted according to the adjusted value indicated by parameter 2. Therefore, it can be seen that the change trend of the first parameter associated with the target transmission resource in the second resource set is determined based on the change trend of the adjustment value in parameter 2, or in other words, the change trend of the first parameter associated with the target transmission resource in the second resource set matches the change trend of the adjustment value in parameter 2. For example, the change trend of the first parameter associated with the target transmission resource in the second resource set is the same as the change trend of the adjustment value in parameter 2.

[0310] Taking the target transmission resources included in the second resource set as an N×M matrix as an example, the first parameter associated with the target transmission resources in the second resource set can be represented as matrix X. The above parameters 1 and 2 can be represented by N×M matrix B and N×M matrix G, respectively. Accordingly, matrix X is based on the initial value indicated by matrix B and is adjusted according to the adjustment value indicated by matrix G. For example, matrix X = matrix B + matrix G. Therefore, matrix B can also be called a basis matrix, and matrix G can also be called a gradient matrix.

[0311] In some implementations, the initial values ​​of the first parameters associated with the target transmission resources in the second resource set may be the same, which helps to simplify the configuration process of the initial values. k,i＝ B k,j =Y(i≠j, i, j∈[1,M], k∈[1,N]) Of course, in the embodiment of the present application, the initial value of the first parameter may also be different.

[0312] For ease of understanding, the following describes the changing trend of the first parameter in the second resource set using matrix X, matrix B, and matrix G in conjunction with Figures 43 and 44. It should be understood that the first parameter associated with the target transmission resource decreases in the order of the frequency domain units from low to high in the frequency domain, and after being combined with the axisymmetric trend of the changing trend of the first parameter, the changing trend of the first parameter includes decreasing from the edge position of the matrix X to the center position of the matrix X in the matrix X. Correspondingly, the changing trend of the adjustment value in the matrix G can be decreasing from the edge position of the matrix G to the center position of the matrix G. For ease of description, the following describes the changing trend after the above-mentioned replacement as an example.

[0313] Assume that matrix X is generated by adding matrix B and matrix G, that is, matrix X = matrix B + matrix G. Among them, the initial values ​​of the first parameters indicated in matrix B are the same, that is, matrix B satisfies B k,i＝ B k,j =Y(i≠j, i,j∈[1,M], k∈[1,N]). The changing trend of the adjustment value in the matrix G is the same as the changing trend of the first parameter in the matrix X, that is, the change of the adjustment value in the matrix G satisfies the following conditions: the adjustment values ​​of the target transmission resources at different time domain positions in the same frequency domain unit in the matrix G are the same, and the adjustment values ​​of the target transmission resources at different frequency domain units in the same time domain position are different. The adjustment values ​​at the upper and lower ends of the matrix G are less than or equal to the adjustment values ​​at the center of the matrix, and the changing trend of the adjustment value in the matrix G is axially symmetric with the center frequency domain position as the central axis. Accordingly, the change of the adjustment value in the matrix G can be expressed as: G k,i =G N-k+1,i (i∈[1,M],k∈[1,N]),G k,i ≥G k+1,i (i∈[1,M],k∈[1,□N / 2□]), and G 1,i =G N,i =P(i∈[1,M]), where P represents the value of the adjustment value of the matrix G located at the edge of the matrix. In addition, the adjustment value in the matrix G decreases from the edge of the matrix to the center of the matrix G according to the F rule, and when S is reduced After q frequency domain units, the remaining frequency domain units are set to zero. Among them, the F rule can include decreasing once every q frequency domain units by a proportional coefficient r (r<1), and decreasing once every q frequency domain units by a first step length t (t□S / q□≤1). Indicates rounding down.

[0314] The following describes the construction scheme of the matrix X in the embodiment of the present application in conjunction with Figures 44 and 45. It should be noted that the embodiments of the present application do not specifically limit the parameters involved below. In some cases, the process of constructing the matrix X may include some of the parameters mentioned below. In addition, the parameters mentioned below can also be replaced with other parameters with similar functions.

[0315] As shown in FIG44 , the matrix X shown in FIG42 can be constructed by the formula matrix X = matrix B + matrix G, where Y = 0.1, S = 3, P = 0.6, q = 1, r = 0.5, and rule F includes decreasing by a proportional coefficient r = 0.5 every q = 1 frequency domain unit, and after decreasing by S = 3 rows, the values ​​of the remaining rows are zero. In other words, the initial value of the first parameter in matrix B is 0.1. The changing rules of the adjustment value in matrix G include: G k,i =G N-k+1,i (i∈[1,M],k∈[1,N]),G k,i ≥G k+1,i (i∈[1,M],k∈[1,□N / 2□]), and G 1,i =G N,i =P=0.6(i∈[1,M]), that is, the adjustment values ​​of the 1st and 12th rows in the matrix G are 0.6; and, after decreasing by 3 rows according to the F rule starting from the 12th row toward the bottom of the matrix G (that is, decreasing from the 12th row to the 10th row), the adjustment values ​​in the remaining rows are 0; after decreasing by 3 rows according to the F rule starting from the 1st row toward the top of the matrix G (that is, decreasing from the 1st row to the 3rd row), the adjustment values ​​in the remaining rows are 0.

[0316] Accordingly, referring to FIG44 , the change trend of the matrix X obtained by superimposing the above matrix B and matrix G can satisfy the following: k,i =X N-k+1,i (i∈[1,M],k∈[1,N]),X k,i ≥X k+1,i (i∈[1,M],k∈[1,□N / 2□]), and X 1,i =X N,i= P + Y = 0.7 (i∈[1,M]), that is, the value of the first parameter in the 1st and 12th rows of the matrix X is 0.7; and after decreasing by 3 rows from the 12th row to the bottom of the matrix X according to the F rule (that is, decreasing from the 12th row to the 10th row), the value of the first parameter in the remaining rows is 0; after decreasing by 3 rows from the 1st row to the top of the matrix X according to the F rule (that is, decreasing from the 1st row to the 3rd row), the value of the first parameter in the remaining rows is 0.

[0317] As shown in FIG45 , the matrix X shown in FIG43 can be constructed by the formula matrix X = matrix B + matrix G, where Y = 0.1, S = 4, P = 0.6, q = 2, r = 0.5, and rule F includes decreasing by a proportional coefficient r = 0.4 every q = 2 frequency domain units, and after decreasing by S = 4 rows, the values ​​of the remaining columns are zero. In other words, the initial value of the first parameter in matrix B is 0.1. The changing rules of the adjustment values ​​in matrix G include: G k,i =G N-k+1,i (i∈[1,M],k∈[1,N]),G k,i ≥G k+1,i (i∈[1,M],k∈[1,□N / 2□]), and G 1,i =G N,i =P=0.6(i∈[1,M]), that is, the adjustment values ​​of the 1st and 12th rows in the matrix G are 0.6; and, after decreasing by 4 rows according to the F rule starting from the 12th row toward the bottom of the matrix G (that is, decreasing from the 12th row to the 9th row), the adjustment values ​​in the remaining rows are 0; after decreasing by 4 rows according to the F rule starting from the 1st row toward the top of the matrix G (that is, decreasing from the 1st row to the 4th row), the adjustment values ​​in the remaining rows are 0.

[0318] Accordingly, referring to FIG45 , the change trend of the matrix X obtained by superimposing the above matrix B and the matrix G can satisfy the following: k,i =G N-k+1,i (i∈[1,M],k∈[1,N]),G k,i ≥G k+1,i (i∈[1,M],k∈[1,□N / 2□]), and G 1,i =G N,i =P+Y=0.7(i∈[1,M]), that is, the value of the first parameter in the 1st and 12th rows of the matrix G is 0.7; and, after decreasing by 4 rows according to the F rule starting from the 12th row toward the bottom of the matrix G (that is, decreasing from the 12th row to the 9th row), the value of the first parameter in the remaining rows is 0; after decreasing by 4 rows according to the F rule starting from the 1st row toward the top of the matrix G (that is, decreasing from the 1st row to the 4th row), the value of the first parameter in the remaining rows is 0.

[0319] The above describes the variation of the first parameter in the embodiment of the present application in conjunction with non-orthogonal transmission mode 4 and non-orthogonal transmission mode 5. In the embodiment of the present application, the variation of the first parameter is not limited. The following describes the variation in conjunction with non-orthogonal transmission mode 6.

[0320] In non-orthogonal transmission mode 6, a first parameter associated with a target transmission resource in a third resource set is determined based on a first adjustment value.

[0321] In some implementations, the first adjustment value can be used to increase the first parameter associated with the corresponding target transmission resource. That is to say, assuming that the transmission resources other than the target transmission resource in the third resource set are other transmission resources, then the first parameter associated with the target transmission resource in the third resource set is greater than the first parameter associated with the other transmission resources. Of course, in the embodiment of the present application, the first parameter associated with the target transmission resource in the third resource set is less than the first parameter associated with the other transmission resources. The following will be introduced in conjunction with Figures 45 to 52, taking the example of the first parameter associated with the target transmission resource in the third resource set being greater than the first parameter associated with other transmission resources. For the sake of brevity, it will not be repeated here.

[0322] It should be understood that in the embodiment of the present application, the changing trend of the first parameter can be combined with any of the changing trends of the first parameters introduced above. For example, it can be combined with the changing trend of the first parameter associated with the first resource set. In this case, the target transmission resources in the third resource set can be part of the target transmission resources in the first resource set. In this case, the third resource set can be understood as a subset of the first resource set. For another example, it can be combined with the changing trend of the first parameter associated with the second resource set. In this case, the target transmission resources in the third resource set can be part of the target transmission resources in the second resource set. In this case, the third resource set can be understood as a subset of the second resource set. Of course, in the embodiment of the present application, the changing trend of the first parameter can be used alone. In this case, the third resource set is an independent resource set. For ease of understanding, the following introduces the changing method of the first parameter in the third resource set in combination with the non-orthogonal transmission method 6.

[0323] In some implementations, the target transmission resources in the third resource set are arranged according to a first rule, wherein the first rule includes one or more of the following: the target transmission resources within the target time domain unit are arranged at intervals in the frequency domain; the target transmission resources within the target frequency domain unit are arranged at intervals in the frequency domain; the target transmission resources within the target time domain unit belong to multiple groups of transmission resources, the multiple groups of transmission resources are arranged at intervals in the frequency domain, and the target transmission resources in the first transmission resource group among the multiple groups of transmission resources are continuous in the frequency domain; the target transmission resources within the target frequency domain unit belong to multiple groups of transmission resources, the multiple groups of transmission resources are arranged at intervals in the time domain, and the target transmission resources in the second transmission resource group among the multiple groups of transmission resources are continuous in the time domain.

[0324] If the first rule includes that the target transmission resources within the target time domain unit are spaced apart in the frequency domain, where the target time domain unit may include multiple frequency domain units that are consecutive in the frequency domain, then correspondingly, the target transmission resources within the multiple frequency domain units are spaced apart in the frequency domain. In other words, the target transmission resources assigned the first adjustment value associated with the third resource set satisfy the following requirement: the target transmission resources within the multiple frequency domain units are spaced apart in the frequency domain.

[0325] In the embodiments of the present application, there is no limitation on the manner in which the target transmission resources are arranged in the frequency domain. For example, the aforementioned arrangement in the frequency domain may be understood as the interval between target transmission resources in a plurality of consecutive frequency domain units being one frequency domain unit. For another example, the aforementioned arrangement in the frequency domain may be understood as the interval between target transmission resources in a plurality of consecutive frequency domain units being multiple frequency domain units.

[0326] For ease of understanding, the target transmission resources in an embodiment of the present application are described below in conjunction with FIG46. As shown in FIG46, the aforementioned multiple frequency domain resources that are continuous in the frequency domain include multiple REs within the third symbol of an RB, and the target transmission resources are arranged one RE apart across the multiple REs. Accordingly, the first adjustment value is assigned to the target transmission resource within the third symbol to determine the first parameter associated with the target transmission resource within the third symbol.

[0327] If the first rule includes that the target transmission resources within the target time domain unit are spaced apart in the time domain, where the target time domain unit may include multiple time domain units that are consecutive in the time domain, then correspondingly, the target transmission resources within the multiple time domain units are spaced apart in the time domain. In other words, the target transmission resources assigned the first adjustment value associated with the third resource set satisfy the following: the target transmission resources within the multiple time domain units that are consecutive in the time domain are spaced apart in the time domain.

[0328] In the embodiments of the present application, there is no limitation on the manner in which the target transmission resources are arranged in the time domain. For example, the aforementioned arrangement in the time domain may be understood as the interval of one time domain unit between target transmission resources within a plurality of consecutive time domain units. For another example, the aforementioned arrangement in the frequency domain may be understood as the interval of multiple time domain units between target transmission resources within a plurality of consecutive time domain units.

[0329] For ease of understanding, the target transmission resource in an embodiment of the present application is described below in conjunction with FIG47. As shown in FIG47, multiple frequency domain resources that are continuous in the frequency domain include multiple REs within the third subcarrier of an RB, and the target transmission resources are arranged one RE apart across the multiple REs. Accordingly, the first adjustment value is assigned to the target transmission resource within the third subcarrier to determine the first parameter associated with the target transmission resource within the third symbol.

[0330] If the first rule includes that the target transmission resources in the target time domain unit belong to multiple groups of transmission resources, the multiple groups of transmission resources are spaced apart in the frequency domain, and the target transmission resources in the first transmission resource group among the multiple groups of transmission resources are continuous in the frequency domain.

[0331] It should be noted that the target transmission resources within a certain transmission resource group (i.e., the first transmission resource group) among multiple groups of transmission resources are continuous in the frequency domain, or the target transmission resources within each transmission resource group (including the first transmission resource group) among multiple groups of transmission resources are continuous in the frequency domain. This embodiment of the present application does not limit this.

[0332] In addition, the number of target transmission resources included in each group of transmission resources in multiple groups of transmission resources can be the same, or the number of target transmission resources included in some or all of the transmission resource groups in multiple groups of transmission resources can be different, which is not limited in the embodiments of the present application.

[0333] In the embodiments of the present application, there is no limitation on the manner in which multiple groups of transmission resources are arranged in the frequency domain. For example, the aforementioned arrangement in the frequency domain may be understood as the spacing of multiple groups of transmission resources within multiple consecutive frequency domain units. For another example, the aforementioned arrangement in the frequency domain may be understood as the spacing of multiple groups of transmission resources within multiple consecutive frequency domain units.

[0334] For ease of understanding, the target transmission resources in an embodiment of the present application are introduced below in conjunction with Figure 48. As shown in Figure 48, multiple groups of transmission resources include transmission resource group 1, transmission resource group 2, and transmission resource group 3, and each transmission resource group contains 2 target transmission resources that are continuous in the frequency domain. Among them, transmission resource group 1 and transmission resource group 2 are separated by 2 frequency domain units in the frequency domain, and transmission resource group 2 and transmission resource group 3 are separated by 2 frequency domain units in the frequency domain. Accordingly, the first adjustment value is assigned to the target transmission resources in transmission resource group 1, transmission resource group 2, and transmission resource group 3 to determine the first parameter associated with the target transmission resource in the third symbol.

[0335] If the first rule includes that the target transmission resources in the target time domain unit belong to multiple groups of transmission resources, the multiple groups of transmission resources are spaced apart in the time domain, and the target transmission resources in the first transmission resource group among the multiple groups of transmission resources are continuous in the time domain.

[0336] It should be noted that the target transmission resources within a certain transmission resource group (i.e., the second transmission resource group) among multiple groups of transmission resources are continuous in the time domain, or the target transmission resources within each transmission resource group (including the second transmission resource group) among multiple groups of transmission resources are continuous in the time domain. This embodiment of the present application does not limit this.

[0337] In addition, the number of target transmission resources included in each group of transmission resources in multiple groups of transmission resources can be the same, or the number of target transmission resources included in some or all of the transmission resource groups in multiple groups of transmission resources can be different, which is not limited in the embodiments of the present application.

[0338] In the embodiments of the present application, there is no limitation on the manner in which the multiple groups of transmission resources are arranged in the time domain. For example, the aforementioned arrangement in the time domain may be understood as the interval of one time domain unit between the multiple groups of transmission resources within a plurality of consecutive time domain units. For another example, the aforementioned arrangement in the time domain may be understood as the interval of multiple time domain units between the multiple groups of transmission resources within a plurality of consecutive time domain units.

[0339] For ease of understanding, the target transmission resources in an embodiment of the present application are described below in conjunction with Figure 48. As shown in Figure 48, multiple groups of transmission resources include transmission resource group 1, transmission resource group 2, and transmission resource group 3, and each transmission resource group contains two target transmission resources that are continuous in the time domain. Among them, transmission resource group 1 and transmission resource group 2 are separated by 2 time domain units in the time domain, and transmission resource group 2 and transmission resource group 3 are separated by 2 time domain units in the time domain. Accordingly, the first adjustment value is assigned to the target transmission resources in transmission resource group 1, transmission resource group 2, and transmission resource group 3 to determine the first parameter associated with the target transmission resource in the third symbol.

[0340] In some scenarios, if the first adjustment value is used to adjust the first parameter of a target transmission resource in a target resource set, and the target transmission resources in the target resource set can be represented as an N×M matrix, the first adjustment value can be represented as an N×M matrix H, where the first adjustment value associated with the target transmission resource in the third resource set in the matrix H can take a first value, and the first adjustment value associated with other target transmission resources in the matrix H can take a second value. The first value and the second value are different. For example, the first value can be a non-zero value, and correspondingly, the second value is 0. For another example, the first value can be 0, and correspondingly, the second value is a non-zero value.

[0341] In some implementations, the matrix H has a grid feature (also known as a "grid matrix"), that is, the first adjustment value of the RE association corresponding to some time domain units and / or some frequency domain units is U, and the first adjustment value of the remaining RE associations is 0. Among them, the time domain unit can be selected according to the index set V□{i|i∈[1,M]}, and the frequency domain unit can be selected according to the starting index a(a∈[1,N]), length l(l∈[1,N]), and interval d(d∈[1,N]). Among them, the frequency domain units can be sequentially indexed in order from high to low frequency. In addition, the index of the frequency domain unit starts from 1.

[0342] For ease of understanding, the following uses matrix H as an example, and combines Examples 1 to 3 below to introduce a scheme for combining the non-orthogonal transmission mode 6 in an embodiment of the present application with the first parameter change trend in other non-orthogonal transmission modes.

[0343] Example 1: Matrix H is combined with non-orthogonal transmission mode 3 to obtain matrix X.

[0344] In some implementations, constructing the matrix X can be performed using the formula matrix X = matrix B + matrix H, where for matrix B, B k,i＝ B k,j =Y(i≠j, i,j∈[1,M], k∈[1,N]). For the matrix H, the first adjustment value associated with the RE corresponding to some time domain units and / or some frequency domain units is U, and the first adjustment value associated with the remaining REs is 0. The time domain unit can be selected according to the index set V□{i|i∈[1,M]}, and the frequency domain unit can be selected according to the starting point index a(a∈[1,N]), the frequency domain and / or time domain length l(l∈[1,N]), and the interval d(d∈[1,N]). The first parameter associated with the corresponding selected target transmission resource is set based on the first adjustment value.

[0345] As shown in FIG49 , the matrix X can be constructed using the formula matrix X = matrix B + matrix H, where Y = 0.1, V = {3}, U = 0.2, a = 2, l = 1, and d = 1. That is, the initial value of the first parameter in matrix B is 0.1. The target transmission resource adjusted by the first adjustment value in matrix H meets the following conditions: it is located in the time domain unit with index 3, the starting frequency of the corresponding frequency domain unit is the frequency domain unit corresponding to the subcarrier with index a = 2, the frequency domain length l = 1, and the target transmission resource corresponding to the first adjustment value is spaced d = 1 frequency domain unit. Accordingly, the first adjustment value associated with the above target transmission resource in matrix H is 0.2, and the first adjustment value associated with other target transmission resources is 0. Accordingly, referring again to FIG49 , the first parameter associated with the target transmission unit that meets the above conditions in the constructed matrix X is Y + U = 0.3, and the first parameter associated with the target transmission unit that does not meet the above conditions is Y = 0.1.

[0346] As shown in FIG50 , the matrix X can be constructed using the formula matrix X = matrix B + matrix H, where Y = 0.1, V = {3}, U = 0.2, a = 1, l = 2, and d = 2. That is, the initial value of the first parameter in matrix B is 0.1. The target transmission resource adjusted by the first adjustment value in matrix H meets the following conditions: it is located in the time domain unit with index 3, the starting frequency of the corresponding frequency domain unit is the frequency domain unit corresponding to the subcarrier with index a = 1, the frequency domain length l = 2, and the target transmission resource corresponding to the first adjustment value is spaced d = 2 frequency domain units. Accordingly, the first adjustment value associated with the above target transmission resource in matrix H is 0.2, and the first adjustment value associated with other target transmission resources is 0. Accordingly, referring again to FIG50 , the first parameter associated with the target transmission unit that meets the above conditions in the constructed matrix X is Y + U = 0.3, and the first parameter associated with the target transmission unit that does not meet the above conditions is Y = 0.1.

[0347] As shown in FIG51 , the matrix X can be constructed using the formula matrix X = matrix B + matrix H, where Y = 0.1, V = {3}, U = 0.2, a = 5, l = 2, and d = 4. That is, the initial value of the first parameter in matrix B is 0.1. The target transmission resource adjusted by the first adjustment value in matrix H meets the following conditions: it is located within the time domain unit with index 3, the starting frequency of the corresponding frequency domain unit is the frequency domain unit corresponding to the subcarrier with index a = 5, the frequency domain length l = 2, and the target transmission resource corresponding to the first adjustment value is spaced d = 4 frequency domain units apart. Accordingly, the first adjustment value associated with the above target transmission resource in matrix H is 0.2, and the first adjustment value associated with other target transmission resources is 0. Accordingly, referring again to FIG51 , the first parameter associated with the target transmission unit that meets the above conditions in the constructed matrix X is Y + U = 0.3, and the first parameter associated with the target transmission unit that does not meet the above conditions is Y = 0.1.

[0348] As shown in FIG52 , the matrix X can be constructed using the formula matrix X = matrix B + matrix H, where Y = 0.1, V = {3, 12}, U = 0.2, a = 2, l = 1, and d = 1. That is, the initial value of the first parameter in matrix B is 0.1. The target transmission resource adjusted by the first adjustment value in matrix H meets the following conditions: it is located within the time domain units indexed 3 and 12, the starting frequency of the corresponding frequency domain unit is the frequency domain unit corresponding to the subcarrier indexed a = 2, the frequency domain length l = 1, and the target transmission resource corresponding to the first adjustment value is spaced d = 1 frequency domain unit. Accordingly, the first adjustment value associated with the above target transmission resource in matrix H is 0.2, and the first adjustment value associated with other target transmission resources is 0. Accordingly, referring again to FIG52 , the first parameter associated with the target transmission unit that meets the above conditions in the constructed matrix X is Y + U = 0.3, and the first parameter associated with the target transmission unit that does not meet the above conditions is Y = 0.1.

[0349] As shown in FIG53 , the matrix X can be constructed using the formula matrix X = matrix B + matrix H, where Y = 0.1, V = {3, 8, 12}, U = 0.2, a = 2, l = 1, and d = 1. That is, the initial value of the first parameter in matrix B is 0.1. The target transmission resources adjusted by the first adjustment value in matrix H meet the following conditions: they are located within time domain units indexed 3, 8, and 12, the starting frequency of the corresponding frequency domain unit is the frequency domain unit corresponding to the subcarrier indexed a = 2, the frequency domain length l = 1, and the target transmission resources corresponding to the first adjustment value are spaced d = 1 frequency domain unit. Accordingly, the first adjustment value associated with the above target transmission resources in matrix H is 0.2, and the first adjustment value associated with other target transmission resources is 0. Accordingly, referring again to FIG53 , the first parameter associated with the target transmission units that meet the above conditions in the constructed matrix X is Y + U = 0.3, and the first parameter associated with the target transmission units that do not meet the above conditions is Y = 0.1.

[0350] As shown in FIG54 , the matrix X can be constructed using the formula matrix X = matrix B + matrix H, where Y = 0.1, V = {3, 6, 9, 12}, U = 0.2, a = 2, l = 1, and d = 1. That is, the initial value of the first parameter in matrix B is 0.1. The target transmission resources adjusted by the first adjustment value in matrix H meet the following conditions: they are located within time domain units indexed 3, 6, 9, and 12, the corresponding frequency domain units have a starting frequency of the frequency domain unit corresponding to the subcarrier indexed a = 2, the frequency domain length l = 1, and the target transmission resources corresponding to the first adjustment value are spaced d = 1 frequency domain unit apart. Accordingly, the first adjustment value associated with the above target transmission resources in matrix H is 0.2, and the first adjustment value associated with other target transmission resources is 0. Accordingly, continuing to refer to FIG54 , the first parameter associated with the target transmission units that meet the above conditions in the constructed matrix X is Y + U = 0.3, and the first parameter associated with the target transmission units that do not meet the above conditions is Y = 0.1.

[0351] Example 2: Matrix H is combined with non-orthogonal transmission mode 4 (eg, Example 4-4) to obtain matrix X.

[0352] In some implementations, the matrix X can be constructed by the formula matrix X = matrix B + matrix G + matrix H, where for matrix B, B k,i＝ B k,j =Y(i≠j, i, j∈[1,M], k∈[1,N]).

[0353] For the matrix G, the change of the adjustment value 2 in the matrix G satisfies the following conditions: k,i =G k,M-i+1 (i∈[1,M],k∈[1,N]),Gk,i ≥G k,i+1 (i∈[1,□M / 2□],k∈[1,N]), and G k,1 =G k,M =P(k∈[1,N]), where P represents the value of the adjustment value 2 in the edge column of the matrix G. In addition, the adjustment value 2 in the matrix G decreases from the edge column to the center column of the matrix G according to the F rule, and when S is reduced After U time domain units, the remaining time domain units are set to zero. The F rule may include decreasing the value by a proportional coefficient r (r<1) every U time domain units.

[0354] For the matrix H, the first adjustment value associated with the target transmission resources corresponding to some time domain units and / or some frequency domain units is U, and the first adjustment value associated with the remaining target transmission resources is 0. The time domain unit can be selected based on the index set V□{i|i∈[1,M]}, and the frequency domain unit can be selected based on the starting point index a(a∈[1,N]), the frequency domain and / or time domain length l(l∈[1,N]), and the interval d(d∈[1,N]). The first parameter associated with the corresponding selected target transmission resource is set based on the first adjustment value.

[0355] As shown in Figure 55, the matrix X can be constructed by the formula matrix X = matrix B + matrix G + matrix H, where Y = 0.1, S = 4, P = 0.6, r = 0.5, V = {6, 9}, U = 0.2, a = 1, l = 1, d = 1. That is to say, the initial value of the first parameter in matrix B is 0.1. The target transmission resource adjusted by the first adjustment value in matrix H meets the following conditions: it is located in the time domain unit with index 6, 9, the starting frequency of the corresponding frequency domain unit is the frequency domain unit corresponding to the subcarrier with index a = 1, the frequency domain length is l, 1, and the target transmission resource corresponding to the first adjustment value is spaced d = 1 frequency domain unit. Accordingly, the value of the first adjustment value associated with the above target transmission resource in matrix H is 0.2, and the value of the first adjustment value associated with other target transmission resources is 0. The change of adjustment value 2 in matrix G can be expressed as: G k,i =G k,M-i+1 (i∈[1,M],k∈[1,N]),G k,i ≥G k,i+1 (i∈[1,□M / 2□],k∈[1,N]), and G k,1 =G k,M =P=0.6(k∈[1,N]), where P represents the value of the adjustment value 2 in the edge columns of matrix G. Furthermore, in matrix G, the adjustment value 2 decreases from the edge columns to the center columns of matrix G according to the F rule, and after decreasing by S=4 time domain units, the remaining time domain units are reset to zero. The F rule may include decreasing by a proportional coefficient r=0.5 every U=1 time domain unit.

[0356] Accordingly, referring to Figure 55, the value of the first parameter associated with the target transmission unit associated with the first adjustment value in matrix H in the constructed matrix X is Y+U+P=0.9, and the values ​​of the remaining first parameters associated with the target transmission units are determined by matrix B+matrix G.

[0357] Example 3: Matrix H is combined with non-orthogonal transmission mode 4 (for example, Example 4-2) to obtain matrix X.

[0358] In some implementations, the matrix X can be constructed by the formula matrix X = matrix B + matrix G + matrix H, where for matrix B, B k,i＝ B k,j =Y(i≠j, i, j∈[1,M], k∈[1,N]).

[0359] For the matrix G, the change of the adjustment value 2 in the matrix G satisfies the following conditions: k,i =G k,M-i+1 (i∈[1,M],k∈[1,N]),G k,i ≤G k,i+1 (i∈[1,□M / 2□],k∈[1,N]), and if M is an odd number, G k,□M / 2□ =P(k∈[1,N]), if M is an even number, G k,M / 2 =G k,M / 2+1 =P(k∈[1,N]), where P represents the value of the adjustment value of the matrix G at the central axis. In addition, the adjustment value in the matrix G decreases from the central axis to the edge of the matrix G according to the F rule, and when S is reduced After U time domain units, the remaining time domain units are set to zero. The F rule may include decreasing the value by a proportional coefficient r (r<1) every U time domain units.

[0360] For the matrix H, the first adjustment value associated with the target transmission resources corresponding to some time domain units and / or some frequency domain units is U, and the first adjustment value associated with the remaining target transmission resources is 0. The time domain unit can be selected based on the index set V□{i|i∈[1,M]}, and the frequency domain unit can be selected based on the starting point index a(a∈[1,N]), the frequency domain and / or time domain length l(l∈[1,N]), and the interval d(d∈[1,N]). The first parameter associated with the corresponding selected target transmission resource is set based on the first adjustment value.

[0361] As shown in Figure 56, the matrix X can be constructed by the formula matrix X = matrix B + matrix G + matrix H, where Y = 0.1, S = 3, P = 0.6, r = 0.5, V = {2, 3, 12, 13}, U = 0.2, a = 3, l = 2, d = 2. That is to say, the initial value of the first parameter in matrix B is 0.1. The target transmission resource adjusted by the first adjustment value in matrix H meets the following conditions: it is located in the time domain unit indexed by 2, 3, 12, and 13, the starting frequency of the corresponding frequency domain unit is the frequency domain unit corresponding to the subcarrier indexed by a = 3, the frequency domain length l = 1, and the target transmission resource corresponding to the first adjustment value is spaced d = 2 frequency domain units. Accordingly, the value of the first adjustment value associated with the above target transmission resources in matrix H is 0.2, and the value of the first adjustment value associated with other target transmission resources is 0. The change of adjustment value 2 in matrix G can be expressed as: G k,i =G k,M-i+1 (i∈[1,M],k∈[1,N]),G k,i ≥G k,i+1 (i∈[1,□M / 2□], k∈[1,N]), G k,M / 2 =G k,M / 2+1 =P=0.6(k∈[1,N]), where P represents the value of the adjustment value 2 in the edge columns of matrix G. Furthermore, the adjustment value 2 in matrix G decreases from the center column to the edge columns of matrix G according to the F rule, and after decreasing by S=3 time domain units, the remaining time domain units are reset to zero. The F rule may include decreasing by a proportional coefficient r=0.5 every U=1 time domain unit.

[0362] Accordingly, referring to Figure 56, the value of the first parameter associated with the target transmission unit associated with the first adjustment value in matrix H in the constructed matrix X is Y+U+P=0.9, and the values ​​of the remaining first parameters associated with the target transmission units are determined by matrix B+matrix G.

[0363] Example 4: Matrix H is combined with non-orthogonal transmission mode 5 (eg, Example 5-3) to obtain matrix X.

[0364] In some implementations, the matrix X can be constructed by the formula matrix X = matrix B + matrix G + matrix H, where for matrix B, B k,i＝ B k,j =Y(i≠j, i, j∈[1,M], k∈[1,N]).

[0365] For the matrix G, the change of the adjustment value 2 in the matrix G satisfies the following conditions: k,i =G N-k+1,i (i∈[1,M],k∈[1,N]),G k,i ≥G k+1,i(i∈[1,M],k∈[1,□N / 2□]), and G 1,i =G N,i =P(i∈[1,M]), where P represents the value of the adjustment value of the matrix G located at the edge of the matrix. In addition, the adjustment value in the matrix G decreases from the edge of the matrix to the center of the matrix G according to the F rule, and when S is reduced After q frequency domain units, the remaining frequency domain units are set to zero. Among them, the F rule can include decreasing the proportional coefficient r (r<1) every q frequency domain units. Indicates rounding down.

[0366] For the matrix H, the first adjustment value associated with the target transmission resources corresponding to some time domain units and / or some frequency domain units is U, and the first adjustment value associated with the remaining target transmission resources is 0. The time domain unit can be selected based on the index set V□{i|i∈[1,M]}, and the frequency domain unit can be selected based on the starting point index a(a∈[1,N]), the frequency domain and / or time domain length l(l∈[1,N]), and the interval d(d∈[1,N]). The first parameter associated with the corresponding selected target transmission resource is set based on the first adjustment value.

[0367] As shown in Figure 57, the matrix X can be constructed by the formula matrix X = matrix B + matrix G + matrix H, where Y = 0.1, S = 3, P = 0.6, U = 0.2, r = 0.5, V = {3, 6, 9, 12}, a = 3, l = 1, d = 6. That is to say, the initial value of the first parameter in matrix B is 0.1. The target transmission resource adjusted by the first adjustment value in matrix H meets the following conditions: it is located in the time domain unit with indexes 3, 6, 9, and 12, the starting frequency of the corresponding frequency domain unit is the frequency domain unit corresponding to the subcarrier with index a = 3, the frequency domain length l = 1, and the target transmission resource corresponding to the first adjustment value is spaced d = 2 frequency domain units. Accordingly, the value of the first adjustment value associated with the above target transmission resources in matrix H is 0.2, and the value of the first adjustment value associated with other target transmission resources is 0. The change of adjustment value 2 in matrix G can be expressed as: G k,i =G k,M-i+1 (i∈[1,M],k∈[1,N]),G k,i ≥G k,i+1 (i∈[1,□M / 2□], k∈[1,N]), G k,M / 2 =G k,M / 2+1 =P=0.6(k∈[1,N]), where P represents the value of the adjustment value 2 in the edge columns of matrix G. Furthermore, the adjustment value 2 in matrix G decreases from the center column to the edge columns of matrix G according to the F rule, and after decreasing by S=3 time domain units, the remaining time domain units are reset to zero. The F rule may include decreasing by a proportional coefficient r=0.5 every U=1 time domain unit.

[0368] Accordingly, referring to Figure 57, the value of the first parameter associated with the target transmission unit associated with the first adjustment value in matrix H in the constructed matrix X is Y+U+P=0.9, and the values ​​of the remaining first parameters associated with the target transmission units are determined by matrix B+matrix G.

[0369] Example 5: Matrix H is combined with non-orthogonal transmission mode 5 (for example, Example 5-1) to obtain matrix X.

[0370] In some implementations, the matrix X can be constructed by the formula matrix X = matrix B + matrix G + matrix H, where for matrix B, B k,i＝ B k,j =Y(i≠j, i, j∈[1,M], k∈[1,N]).

[0371] For the matrix G, the change of the adjustment value 2 in the matrix G satisfies the following conditions: k,i =G N-k+1,i (i∈[1,M],k∈[1,N]),G k,i ≥G k+1,i (i∈[1,M],k∈[1,□N / 2□]), and G 1,i =G N,i =P(i∈[1,M]), where P represents the value of the adjustment value of the matrix G located at the edge of the matrix. In addition, the adjustment value in the matrix G decreases from the edge of the matrix to the center of the matrix G according to the F rule, and when S is reduced After q frequency domain units, the remaining frequency domain units are set to zero. Among them, the F rule can include decreasing the proportional coefficient r (r<1) every q frequency domain units. Indicates rounding down.

[0372] For the matrix H, the first adjustment value associated with the target transmission resources corresponding to some time domain units and / or some frequency domain units is U, and the first adjustment value associated with the remaining target transmission resources is 0. The time domain unit can be selected based on the index set V□{i|i∈[1,M]}, and the frequency domain unit can be selected based on the starting point index a(a∈[1,N]), the frequency domain and / or time domain length l(l∈[1,N]), and the interval d(d∈[1,N]). The first parameter associated with the corresponding selected target transmission resource is set based on the first adjustment value.

[0373] As shown in Figure 58, the matrix X can be constructed by the formula matrix X = matrix B + matrix G + matrix H, where Y = 0.1, S = 3, P = 0.2, U = 0.6, r = 0.5, V = {3, 6, 9, 12}, a = 3, l = 1, d = 6. That is to say, the initial value of the first parameter in matrix B is 0.1. The target transmission resource adjusted by the first adjustment value in matrix H meets the following conditions: it is located in the time domain unit with indexes 3, 6, 9, and 12, the starting frequency of the corresponding frequency domain unit is the frequency domain unit corresponding to the subcarrier with index a = 3, the frequency domain length l = 1, and the target transmission resource corresponding to the first adjustment value is spaced d = 2 frequency domain units. Accordingly, the value of the first adjustment value associated with the above target transmission resources in matrix H is 0.2, and the value of the first adjustment value associated with other target transmission resources is 0. The change of adjustment value 2 in matrix G can be expressed as: G k,i =G k,M-i+1 (i∈[1,M],k∈[1,N]),G k,i ≥G k,i+1 (i∈[1,□M / 2□], k∈[1,N]), G k,M / 2 =G k,M / 2+1 =P=0.6(k∈[1,N]), where P represents the value of the adjustment value 2 in the edge columns of matrix G. Furthermore, the adjustment value 2 in matrix G decreases from the center column to the edge columns of matrix G according to the F rule, and after decreasing by S=3 time domain units, the remaining time domain units are reset to zero. The F rule may include decreasing by a proportional coefficient r=0.5 every U=1 time domain unit.

[0374] Accordingly, referring to Figure 58, the value of the first parameter associated with the target transmission unit associated with the first adjustment value in matrix H in the constructed matrix X is Y+U+P=0.9, and the values ​​of the remaining first parameters associated with the target transmission units are determined by matrix B+matrix G.

[0375] It should be noted that the target transmission resources associated with the matrix H and the target transmission resources associated with the matrix G may include overlapping transmission resources. Of course, in the embodiment of the present application, some or all of the target time domain resources of the target transmission resources associated with the matrix H and the target transmission resources associated with the matrix G may be different.

[0376] The above description of the setting method of the first parameter in the embodiment of the present application is introduced in conjunction with Figures 25 to 58. In the setting method of the first parameter described above, the first parameter can be presented in the form of a pattern. For example, any of the above matrices X, X∈[0,1] N×MAs shown. In some scenarios, the different first parameter setting methods described above can be indicated by indication information. The first parameter setting method is presented in the form of a pattern. Accordingly, different parameter values ​​carried in the indication information can indicate different patterns. For example, if the parameter value in the indication information is 00, it can be used to indicate that the first parameter is determined based on the matrix X in non-orthogonal transmission mode 3. For another example, if the parameter value in the indication information is 01, it can be used to indicate that the first parameter is determined based on the matrix X in non-orthogonal transmission mode 4-1. For another example, if the parameter value in the indication information is 10, it can be used to indicate that the first parameter is determined based on the matrix X in non-orthogonal transmission mode 4-2. For another example, if the parameter value in the indication information is 11, it can be used to indicate that the first parameter is determined based on the matrix X in non-orthogonal transmission mode 4-3. For another example, if the parameter value in the indication information is 0000, it can be used to indicate that the first parameter is determined based on the matrix X in non-orthogonal transmission mode 4-4. For another example, if the parameter value in the indication information is 0000, it can be used to indicate that the first parameter is determined based on the matrix X in non-orthogonal transmission mode 4-4. For another example, if the parameter value in the indication information is 0001, it may be used to indicate that the first parameter is determined based on the matrix X in the non-orthogonal transmission mode 5-1. For another example, if the parameter value in the indication information is 0010, it may be used to indicate that the first parameter is determined based on the matrix X in the non-orthogonal transmission mode 5-2. For another example, if the parameter value in the indication information is 0100, it may be used to indicate that the first parameter is determined based on the matrix X in the non-orthogonal transmission mode 5-3. For another example, if the parameter value in the indication information is 1000, it may be used to indicate that the first parameter is determined based on the matrix X in the non-orthogonal transmission mode 5-4. For another example, if the parameter value in the indication information is 1100, it may be used to indicate that the first parameter is determined based on the matrix X in the non-orthogonal transmission mode 6.

[0377] In the embodiments of the present application, in addition to the above-described method for setting the first parameter, the first parameter may also be determined based on a first model, wherein the first model is used to adjust the initial parameter based on the transmission conditions of the first signal. In other words, the above method further includes: the first device adjusting the initial parameter using the target model to obtain the first parameter.

[0378] Typically, to improve the rationality of the first parameter output by the target model, the first model can be trained using training data associated with the transmission conditions of the first signal. In other words, the transmission conditions of the first signal are associated with the training data of the first model, and the training data is used to train the first model.

[0379] In some implementations, the transmission condition is associated with one or more of the following: the number of antennas transmitting the first signal; a channel condition of a channel transmitting the first signal; and characteristics of a radio frequency device transmitting the first signal.

[0380] For ease of understanding, the following describes a scheme for generating the first parameter in an embodiment of the present application in conjunction with FIG67. Referring to FIG67, a data bit stream is generated in S6710; in step S6720, the data bits are channel-coded; in step S6730, the channel-coded bit stream is symbol-mapped according to a modulation symbol set to complete the modulation process; in step S6740, a pilot is superimposed based on the pilot symbol set to obtain a superimposed symbol; in step S6750, the superimposed signal is transmitted to the receiving end through the channel. In step S6760, the superimposed signal transmitted through the channel is received by a receiver, and the superimposed signal is channel-decoded; in step S6770, the received data bits are obtained through channel decoding.

[0381] It should be noted that the parameters (first parameters) used for superimposing the pilot in the above link and the model parameters in the receiver may be learnable, while the remaining modules are not learnable.

[0382] In addition, during the training process, end-to-end training optimization can be considered based on three types of loss functions, where the loss function L1 is the cross entropy between the generated data bits and the received data bits, the loss function L2 is the cross entropy between the channel-coded bits and the bits recovered by the AI ​​receiver, and the loss function L3 is the mean square error between the true channel matrix and the estimated channel matrix. During the training process, the learnable parameters in the link are optimized according to the total loss function L = αL1 + βL2 + γL3, where α, β, and γ represent weight parameters. The first parameters (for example, pilot patterns) and the corresponding receiver parameters obtained after the training are ready for actual deployment in the specified communication scenario.

[0383] In the embodiment of the present application, the value range of the first parameter is not limited. In some implementations, the value range of the first parameter can be between 0 and 1. For example, the value of the first parameter can be 0.05, the value of the first parameter can be 0.1, the value of the first parameter can be 0.2, and the value of the first parameter can be 0.4. For another example, the setting of the first parameter can make the energy of the target signal transmitted on the target transmission resource less than the energy threshold associated with the target transmission resource. In other implementations, the setting of the first parameter can make the power of the target signal transmitted on the target transmission resource less than the power threshold associated with the target transmission resource.

[0384] As described above, non-orthogonal transmission of the first and second signals can help improve transmission resource utilization. However, this approach presents challenges for the second device in distinguishing between the first and second signals. Conventional receivers are unable to effectively distinguish between the orthogonally transmitted first and second signals.

[0385] Therefore, in response to the above problems, an embodiment of the present application further provides a model-based receiver, wherein the model (also referred to as the "fourth model") is used to process the received signal to predict the bits corresponding to the received signal. In the embodiment of the present application, the fourth model is not specifically limited. In some implementations, the fourth model can be a neural network model, for example, any of the neural network models described above. Therefore, the receiver of the example of the present application can also be referred to as an "AI receiver". Of course, the fourth model can also be other models, for example, a machine learning model.

[0386] In some implementations, the fourth model can recover the bits corresponding to the symbols of the received signal by predicting the symbols corresponding to the received signal. For example, as shown in Figure 59, the first signal and the second signal are transmitted on RB1 in a non-orthogonal transmission manner, and matrix 1 represents the energy of the signal carried by each RE in RB1 (including the first signal and the second signal of the non-orthogonal transmission). Matrix 1 is input into the fourth model. Accordingly, the fourth model can predict the symbols corresponding to each RE in RB1 (for example, constellation modulation symbols) based on matrix 1, and then, based on the correspondence between symbols and bits, recover the bits carried on each RE in RB1.

[0387] The solution of the embodiments of the present application can be applied to scenarios where the correspondence between symbols and bits is known. In some implementations, the solution of the embodiments of the present application can be applied to the scenario described above where symbols cannot be learned (for example, a scenario where constellation modulation symbols cannot be learned). In this scenario, the correspondence between symbols and bits is known.

[0388] In other implementations, the fourth model can directly predict the bits corresponding to the received signal. For example, as shown in Figure 60, the first signal and the second signal are transmitted on RB1 in a non-orthogonal transmission mode, and matrix 1 represents the energy of the signal carried by each RE in RB1 (including the non-orthogonally transmitted first signal and second signal). Matrix 1 is input into the fourth model. Accordingly, the fourth model can predict the bits corresponding to each RE in RB1 based on matrix 1, that is, recover the bits carried by each RE in RB1.

[0389] The solution of the embodiment of the present application can be applied to scenarios where the correspondence between symbols and bits is unknown. In some implementations, the solution of the embodiment of the present application can be applied to the scenario where symbols can be learned (for example, the scenario where constellation modulation symbols can be learned) as described above. In this scenario, the correspondence between symbols and bits changes with the learning of the second model and / or the third model, that is, the correspondence between symbols and bits is unknown. Of course, the embodiment of the present application can also be applied to the scenario where symbols cannot be learned as described above.

[0390] Taking the second signal as a data signal and the first signal as a pilot signal as an example, the aforementioned association between symbols and bits may include an association between symbols of the data signal and bits of the data signal, where this association is associated with the modulation scheme of the data signal. Accordingly, the aforementioned recovered bits are data bits of the recovered data signal.

[0391] It should be noted that the receiver provided in the embodiments of the present application can be used to receive any of the non-orthogonal transmission signals described above. For ease of understanding, the following describes the signal reception scheme of the receiver in the embodiments of the present application using a splicing method based on signal input channels as an example. The reception schemes for other non-orthogonal transmission signals are similar and will not be further described below for the sake of brevity.

[0392] As shown in Figure 61, the first signal and the second signal are nonlinearly superimposed based on the channel of the input signal to achieve non-orthogonal transmission on RB1. Matrix 1 represents the energy of the signal carried by each RE in RB1 (including the non-orthogonally transmitted first signal and second signal). Matrix 1 is input into the fourth model. Accordingly, the fourth model can predict the symbol (e.g., constellation modulation symbol) corresponding to each RE in RB1 based on matrix 1. Then, based on the correspondence between the symbol and the bit, the bit carried by each RE in RB1 is recovered.

[0393] As shown in Figure 62, the first signal and the second signal are nonlinearly superimposed based on the channels of the input signal to achieve non-orthogonal transmission on RB1. Matrix 1 represents the energy of the signal carried by each RE in RB1 (including the non-orthogonally transmitted first signal and second signal). Matrix 1 is input into the fourth model. Accordingly, the fourth model can predict the bit corresponding to each RE in RB1 based on matrix 1, that is, recover the bit carried by each RE in RB1.

[0394] In some scenarios, the process of a receiver receiving a signal can be divided into multiple sub-processes. For example, based on the signal reception scheme described in FIG1 , the signal reception process can include a channel estimation process and a data recovery process, etc., that is, channel estimation can be performed based on the received signal, and data recovery can be performed on the received data based on the result of the channel estimation. Based on the previous introduction, it can be seen that the receiver can recover the received signal based on the fourth model, that is, the fourth model can be used to perform the channel estimation process and the data recovery process. Therefore, the receiver introduced above can also be called an "integrated receiver."

[0395] Of course, in the embodiment of the present application, the function of the model can be set based on the process of the receiver receiving the signal. Accordingly, the receiver may include multiple models. Therefore, the receiver of the embodiment of the present application can be called a "modular receiver". For ease of understanding, the following takes the second signal as a data signal and the first signal as a pilot signal as an example to introduce the AI ​​receiver of the embodiment of the present application. Accordingly, the above-mentioned process of receiving the signal can include a channel estimation process and a data recovery process.

[0396] In some implementations, the receiver may include a fifth model and a sixth model. The fifth model is used to estimate the channel state based on the first signal. The sixth model is used to recover the second signal based on the estimated channel state. The embodiment of the present application does not limit the type of the fifth model and / or the sixth model. For example, the fifth model and / or the sixth model may be an AI model. Of course, the fifth model and / or the sixth model may also be other models. For example, the fifth model and / or the sixth model may be a machine learning model.

[0397] In some implementations, the sixth model can recover the bits corresponding to the symbols of the received signal by predicting the symbols corresponding to the received signal. For example, as shown in Figure 63, the first signal and the second signal are transmitted on RB1 in a non-orthogonal transmission manner, and matrix 1 represents the energy of the signal carried in each RE in RB1 (including the first signal and the second signal of the non-orthogonal transmission). Matrix 1 is input into the fifth model, and accordingly, the fifth model can output matrix 2 based on matrix 1, and matrix 2 is used to indicate the channel state corresponding to each RE in RB1. Afterwards, matrix 2 and matrix 1 are used as inputs to the sixth model, and accordingly, the sixth model can predict the symbols corresponding to each RE in RB1 (for example, constellation modulation symbols) based on matrix 1 and matrix 2, and then, based on the correspondence between symbols and bits, the bits carried on each RE in RB1 are recovered.

[0398] The receiver of the embodiment of the present application can be applied to scenarios where the correspondence between symbols and bits is known. In some implementations, the solution of the embodiment of the present application can be applied to the scenario described above where symbols cannot be learned (for example, a scenario where constellation modulation symbols cannot be learned). In this scenario, the correspondence between symbols and bits is known.

[0399] In some other implementations, the sixth model can directly predict the bits corresponding to the received signal. For example, as shown in Figure 64, the first signal and the second signal are transmitted on RB1 in a non-orthogonal transmission manner, and matrix 1 represents the energy of the signal carried in each RE in RB1 (including the first signal and the second signal of the non-orthogonal transmission). Matrix 1 is input into the fifth model. Accordingly, the fifth model can output matrix 2 based on matrix 1, and matrix 2 is used to indicate the channel state corresponding to each RE in RB1. Afterwards, matrix 2 and matrix 1 are used as inputs to the sixth model. Accordingly, the sixth model can predict the bits carried on each RE in RB1 based on matrix 1 and matrix 2 to recover the second signal.

[0400] The receiver of the embodiment of the present application can be applied to scenarios where the correspondence between symbols and bits is unknown. In some implementations, the solution of the embodiment of the present application can be applied to the scenario where symbols can be learned (for example, the scenario where constellation modulation symbols can be learned) as described above. In this scenario, the correspondence between symbols and bits changes with the learning of the second model and / or the third model, that is, the correspondence between symbols and bits is unknown. Of course, the embodiment of the present application can also be applied to the scenario where symbols cannot be learned as described above.

[0401] It should be noted that the receiver provided in the embodiments of the present application can be used to receive any of the non-orthogonal transmission signals described above. For ease of understanding, the following describes the signal reception scheme of the receiver in the embodiments of the present application using a splicing method based on signal input channels as an example. The reception schemes for other non-orthogonal transmission signals are similar and will not be further described below for the sake of brevity.

[0402] As shown in Figure 65, it is assumed that the first signal and the second signal are nonlinearly superimposed based on the channel of the input signal to achieve non-orthogonal transmission on RB1. Matrix 1 represents the energy of the signal carried in each RE in RB1 (including the first signal and the second signal of non-orthogonal transmission). Matrix 1 is input into the fifth model. Accordingly, the fifth model can output matrix 2 based on matrix 1. Matrix 2 is used to indicate the channel state corresponding to each RE in RB1. Thereafter, matrix 2 and matrix 1 are used as inputs to the sixth model. Accordingly, the sixth model can predict the symbol corresponding to each RE in RB1 (for example, a constellation modulation symbol) based on matrix 1 and matrix 2. Then, based on the correspondence between the symbol and the bit, the bit carried on each RE in RB1 is recovered.

[0403] As shown in Figure 66, the first signal and the second signal are nonlinearly superimposed based on the channel of the input signal to achieve non-orthogonal transmission on RB1. Matrix 1 represents the energy of the signal carried in each RE in RB1 (including the first signal and the second signal of non-orthogonal transmission). Matrix 1 is input into the fifth model. Accordingly, the fifth model can output matrix 2 based on matrix 1. Matrix 2 is used to indicate the channel state corresponding to each RE in RB1. Afterwards, matrix 2 and matrix 1 are used as inputs to the sixth model. Accordingly, the sixth model can predict the bits carried on each RE in RB1 based on matrix 1 and matrix 2 to recover the second signal.

[0404] The above describes the non-orthogonal transmission method and receiver according to an embodiment of the present application. The following describes the training process according to an embodiment of the present application in conjunction with FIG65 . In some implementations, the method includes: processing training data to be transmitted using a first model to obtain processed training data; transmitting the processed first training data via a target transmission resource, wherein the training data includes a non-orthogonally transmitted first signal and a second signal. Accordingly, a second device recovers the processed first training data to obtain recovered data of the first training data; and training the first model using the difference between the recovered data and the first training data.

[0405] As described above, in some implementations, the second device can use the model in the receiver to transmit non-orthogonal transmission signals. Therefore, in the process of training the first model, the model in the receiver can be trained together. Among them, the model in the receiver (hereinafter referred to as the "target model") may include a fourth model, or the model in the receiver may include a fifth model and a sixth model. Of course, in an embodiment of the present application, the target model and the first model can be associated with different training processes. Therefore, in the training process described below, only the first model can be trained, or only the target model can be trained.

[0406] That is to say, the above-mentioned second device restores the processed first training data to obtain the restored data of the first training data, including the second device using the target model to restore the processed first training data to obtain the restored data of the first training data, and using the difference between the restored data and the first training data to train the first model and / or the target model.

[0407] In some implementations, taking the second signal as a data signal and the first signal as a pilot signal as an example, the training of the first model and / or the target model can be determined based on one or more of the following: the difference between the data bits to be transmitted by the first device and the data bits received by the second device; the difference between the bits after channel coding and the bits recovered by the receiver (undecoded bits); and the difference between the actual channel state and the state of the channel estimated by the second device.

[0408] In the embodiments of the present application, there is no limitation on the implementation of the above difference. In some implementations, the above difference can be calculated by a loss function, for example, the above difference can be calculated by the cross entropy in the loss function.

[0409] For ease of understanding, the training process of an embodiment of the present application is described below in conjunction with Figure 67. It should be understood that Figure 67 introduces the signal transmission process including the signal modulation process and the signal encoding process as an example. Other signal processing processes can also be introduced in the training process, such as signal precoding, signal interleaving process, etc., which are not limited in the embodiment of the present application. In addition, the training process of the embodiment of the present application is described below from the perspective of the transmitting end and the receiving end, wherein the transmitting end can be the first device described above. Of course, the transmitting end can also be a device other than the first device. The receiving end can be the second device described above. Of course, the receiving end can also be a device other than the second device.

[0410] Figure 67 is a schematic diagram of the training process of an embodiment of the present application. The method shown in Figure 67 includes steps S6710 to S6780.

[0411] As shown in FIG. 67 , in step S6710 , the transmitting end generates data bits.

[0412] In some implementations, the transmitting end may randomly generate data bits. Of course, in the embodiment of the present application, the transmitting end may also use pre-stored data bits.

[0413] In step S6720, the transmitting end performs channel coding on the generated data bits to obtain coded data bits.

[0414] In step S6730, the transmitting end modulates the encoded data bits to obtain modulation symbols.

[0415] In some implementations, the transmitter may map the encoded data bits to symbols according to a modulation symbol set to complete the modulation process.

[0416] In step S6740, the transmitter uses the first model to superimpose preset pilot symbols and modulation symbols to obtain a superimposed signal (also called a "superimposed symbol"), wherein the preset pilot symbols may belong to a pilot symbol set.

[0417] In some implementations, the nonlinear superposition method and / or linear superposition method described above may be used to superimpose the pilot signal and the modulation symbols. Specific implementations can be found in the above description and will not be described here for brevity.

[0418] In step S6750, the superimposed signal is sent to the receiving end through the channel.

[0419] In step S6760, the receiving end inputs the received superimposed signal into the receiver, and accordingly, the receiver outputs the recovered data bits using the target model.

[0420] In step S6770, the receiving end performs channel decoding on the recovered data bits to obtain received data bits.

[0421] It should be noted that, as described above, in step S6730, the transmitting end may modulate the signal based on the modulation symbol set. The modulation symbol set may be learnable, for example, based on the second model. Of course, in this embodiment of the present application, the modulation symbol set may not be learnable.

[0422] In addition, the pilot symbols used by the transmitting end in step S6740 may be selected from a pilot symbol set. The pilot symbol set may be learnable, for example, based on the third model. Of course, in this embodiment of the present application, the pilot symbol set may not be learnable.

[0423] In step S6780, the first model and the target model are jointly trained based on the loss function.

[0424] In some implementations, the loss function includes one or more of a loss function L1, a loss function L2, and a loss function L3. Loss function L1 includes the cross entropy between generated data bits and received data bits. Loss function L2 is the cross entropy between channel-coded bits and bits recovered by the receiver. Loss function L3 is the mean square error between the true channel matrix and the estimated channel matrix.

[0425] If training is performed based on the above three loss functions, the total loss function during the training process can be expressed as L = α·L1+β·L2+γ·L3, where α, β, and γ represent weight parameters. Accordingly, if the total loss function meets the conditions (for example, the total loss function is less than the threshold), the training process of the first model and the target model can be considered to be completed. If the total loss function does not meet the conditions (for example, the total loss function is less than the threshold), the training process of the first model and the target model can be considered to be not completed.

[0426] The method embodiment of the present application is described in detail above in conjunction with Figures 1 to 67. The device embodiment of the present application is described in detail below in conjunction with Figures 68 to 70. It should be understood that the description of the method embodiment corresponds to the description of the device embodiment. Therefore, for parts not described in detail, reference can be made to the above method embodiment.

[0427] FIG68 is a schematic diagram of a communication device according to an embodiment of the present application. The communication device 6800 shown in FIG68 is a first device, and the communication device 6800 includes a sending unit 6810.

[0428] A sending unit sends a target signal to the second device on a target transmission resource, wherein the target signal includes a first signal and a second signal that are non-orthogonally transmitted.

[0429] In a possible implementation manner, the target transmission resource is associated with a first parameter, and the first parameter is used to adjust the energy of a first signal transmitted on the associated target transmission resource.

[0430] In one possible implementation, the target transmission resource belongs to a first resource set, the first resource set includes multiple target transmission resources, and the first parameters associated with the multiple target transmission resources located in the same time domain unit in the first resource set are the same; and / or the first parameters associated with the multiple target transmission resources located in different time domain units in the first resource set are partially or completely different.

[0431] In one possible implementation, the time domain position where the target transmission resource in the first resource set is located includes a first time domain position and a second time domain position, wherein the target transmission resource located between the first time domain position and the second time domain position satisfies one or more of the following rules: the first parameter associated with each target transmission resource increases in the order of time domain units from early to late in the time domain; the first parameter associated with each target transmission resource decreases in the order of time domain units from late to early in the time domain; the first parameter associated with the target transmission resource increases every q time domain units in the order of time domain units from early to late in the time domain; the first parameter associated with the target transmission resource decreases every q time domain units in the order of time domain units from late to early in the time domain; wherein q is a positive integer greater than or equal to 0.

[0432] In a possible implementation manner, the first time domain position is earlier than other time domain positions in the first resource set except the first time domain position in the time domain, or the first time domain position is later than the other time domain positions in the time domain.

[0433] In a possible implementation manner, the second time domain position is located at a central time domain position of the first resource set in the time domain.

[0434] In one possible implementation, the time domain position where the target transmission resource in the first resource set is located also includes a third time domain position, and the first time domain position and the third time domain position are located on both sides of the second time domain position in the time domain, wherein the change trend of the first parameter associated with the target transmission resource located between the second time domain position and the third time domain position is opposite to the change trend of the first parameter associated with the target transmission resource located between the second time domain position and the first time domain position.

[0435] In one possible implementation, some of the target transmission resources that are continuous in the time domain in the first resource set belong to a first subset, and the target resources included in the first subset are located between other transmission resources in the first resource set in the time domain, and the other transmission resources are transmission resources in the first resource set other than the target transmission resources included in the first subset, wherein the first parameters associated with the target transmission resources included in the first subset are the same.

[0436] In one possible implementation, the target transmission resource belongs to a second resource set, the second resource set includes multiple target transmission resources, and the first parameters associated with the multiple target transmission resources located in the same frequency domain unit in the second resource set are the same; and / or the first parameters associated with the multiple target transmission resources located in different frequency domain units in the second resource set are partially or completely different.

[0437] In one possible implementation, the frequency domain position where the target transmission resource in the second resource set is located includes a first frequency domain position and a second frequency domain position, wherein the target transmission resource located between the first frequency domain position and the second frequency domain position satisfies one or more of the following rules: the first parameter associated with each target transmission resource increases in order from high to low in the frequency domain units; the first parameter associated with each target transmission resource decreases in order from low to high in the frequency domain; the first parameter associated with the target transmission resource increases every q frequency domain units in order from high to low in the frequency domain; the first parameter associated with the target transmission resource decreases every q frequency domain units in order from low to high in the frequency domain; wherein q is a positive integer greater than or equal to 0.

[0438] In a possible implementation, the first frequency domain position is lower in the frequency domain than other frequency domain positions in the second resource set except the first frequency domain position, or the first frequency domain position is higher in the frequency domain than the other frequency domain positions.

[0439] In a possible implementation manner, the second frequency domain position is located at a center frequency domain position of the second resource set in the frequency domain.

[0440] In one possible implementation, the frequency domain position where the target transmission resource in the second resource set is located also includes a third frequency domain position, and the first frequency domain position and the third frequency domain position are located on both sides of the second frequency domain position in the frequency domain, wherein the change trend of the first parameter associated with the target transmission resource located between the second frequency domain position and the third frequency domain position is opposite to the change trend of the first parameter associated with the target transmission resource located between the second frequency domain position and the first frequency domain position.

[0441] In one possible implementation, some target transmission resources that are continuous in the frequency domain in the first resource set belong to a second subset, and the target resources included in the second subset are located between other transmission resources in the first resource set in the frequency domain, and the other transmission resources are transmission resources in the first resource set other than the target transmission resources included in the second subset, wherein the first parameters associated with the target transmission resources included in the second subset are the same.

[0442] In a possible implementation manner, the target transmission resource belongs to a third resource set, and the first parameters associated with the target transmission resources in the third resource set are the same.

[0443] In one possible implementation, some of the target transmission resources belong to a third resource set, and the first parameter associated with the target transmission resources in the third resource set is determined based on a first adjustment value. The target transmission resources in the third resource set are arranged according to a first rule, wherein the first rule includes one or more of the following: the transmission resources within the target time domain unit are arranged at intervals in the frequency domain; the transmission resources within the target frequency domain unit are arranged at intervals in the frequency domain; multiple groups of transmission resources within the target time domain unit are arranged at intervals in the frequency domain, and one group of transmission resources in the multiple groups of transmission resources includes multiple transmission resources, and the multiple transmission resources are continuous in the frequency domain; multiple groups of transmission resources within the target frequency domain unit are arranged at intervals in the time domain, and one group of transmission resources in the multiple groups of transmission resources includes multiple transmission resources, and the multiple transmission resources are continuous in the time domain.

[0444] In one possible implementation, the target transmission resource belongs to a target resource set, and the target transmission resources in the target resource set other than the target transmission resources included in the third resource set are other transmission resources. The first parameter associated with the target transmission resources in the third resource set is greater than the first parameter associated with the other transmission resources, or the first parameter associated with the target transmission resources in the third resource set is less than the first parameter associated with the other transmission resources.

[0445] In a possible implementation, the apparatus further includes: the first device adjusts initial parameters using a target model to obtain the first parameters, wherein the target model is used to adjust the initial parameters according to a transmission condition of the first signal.

[0446] In a possible implementation, the transmission condition of the first signal is associated with training data of the target model, and the training data is used to train the target model.

[0447] In a possible implementation, the transmission condition is associated with one or more of the following: the number of antennas transmitting the first signal; the channel condition of the channel transmitting the first signal; and the characteristics of a radio frequency device transmitting the first signal.

[0448] In a possible implementation manner, energy of the first information adjusted based on the first parameter on the target transmission resource is less than an energy threshold associated with the target transmission resource.

[0449] In a possible implementation manner, the size of the resource set where the target transmission resource is located is determined based on the size of the transmission resource allocated by the network device.

[0450] Figure 69 is a schematic diagram of a communication device according to an embodiment of the present application. The communication device shown in Figure 69 is a second device, and the communication device 6900 includes a receiving unit 6910.

[0451] The receiving unit 6910 is configured to receive a target signal sent by a first device on a target transmission resource, wherein the target signal includes a first signal and a second signal transmitted in a non-orthogonal manner.

[0452] In a possible implementation manner, the target transmission resource is associated with a first parameter, and the first parameter is used to adjust the energy of a first signal transmitted on the associated target transmission resource.

[0453] In one possible implementation, the target transmission resource belongs to a first resource set, the first resource set includes multiple target transmission resources, and the first parameters associated with the multiple target transmission resources located in the same time domain unit in the first resource set are the same; and / or the first parameters associated with the multiple target transmission resources located in different time domain units in the first resource set are partially or completely different.

[0454] In one possible implementation, the time domain position where the target transmission resource in the first resource set is located includes a first time domain position and a second time domain position, wherein the target transmission resource located between the first time domain position and the second time domain position satisfies one or more of the following rules: the first parameter associated with each target transmission resource increases in the order of time domain units from early to late in the time domain; the first parameter associated with each target transmission resource decreases in the order of time domain units from late to early in the time domain; the first parameter associated with the target transmission resource increases every q time domain units in the order of time domain units from early to late in the time domain; the first parameter associated with the target transmission resource decreases every q time domain units in the order of time domain units from late to early in the time domain; wherein q is a positive integer greater than or equal to 0.

[0455] In a possible implementation manner, the first time domain position is earlier than other time domain positions in the first resource set except the first time domain position in the time domain, or the first time domain position is later than the other time domain positions in the time domain.

[0456] In a possible implementation manner, the second time domain position is located at a central time domain position of the first resource set in the time domain.

[0457] In one possible implementation, the time domain position where the target transmission resource in the first resource set is located also includes a third time domain position, and the first time domain position and the third time domain position are located on both sides of the second time domain position in the time domain, wherein the change trend of the first parameter associated with the target transmission resource located between the second time domain position and the third time domain position is opposite to the change trend of the first parameter associated with the target transmission resource located between the second time domain position and the first time domain position.

[0458] In one possible implementation, some of the target transmission resources that are continuous in the time domain in the first resource set belong to a first subset, and the target resources included in the first subset are located between other transmission resources in the first resource set in the time domain, and the other transmission resources are transmission resources in the first resource set other than the target transmission resources included in the first subset, wherein the first parameters associated with the target transmission resources included in the first subset are the same.

[0459] In one possible implementation, the target transmission resource belongs to a second resource set, the second resource set includes multiple target transmission resources, and the first parameters associated with the multiple target transmission resources located in the same frequency domain unit in the second resource set are the same; and / or the first parameters associated with the multiple target transmission resources located in different frequency domain units in the second resource set are partially or completely different.

[0460] In one possible implementation, the frequency domain position where the target transmission resource in the second resource set is located includes a first frequency domain position and a second frequency domain position, wherein the target transmission resource located between the first frequency domain position and the second frequency domain position satisfies one or more of the following rules: the first parameter associated with each target transmission resource increases in order from high to low in the frequency domain units; the first parameter associated with each target transmission resource decreases in order from low to high in the frequency domain; the first parameter associated with the target transmission resource increases every q frequency domain units in order from high to low in the frequency domain; the first parameter associated with the target transmission resource decreases every q frequency domain units in order from low to high in the frequency domain; wherein q is a positive integer greater than or equal to 0.

[0461] In a possible implementation, the first frequency domain position is lower in the frequency domain than other frequency domain positions in the second resource set except the first frequency domain position, or the first frequency domain position is higher in the frequency domain than the other frequency domain positions.

[0462] In a possible implementation manner, the second frequency domain position is located at a center frequency domain position of the second resource set in the frequency domain.

[0463] In one possible implementation, the frequency domain position where the target transmission resource in the second resource set is located also includes a third frequency domain position, and the first frequency domain position and the third frequency domain position are located on both sides of the second frequency domain position in the frequency domain, wherein the change trend of the first parameter associated with the target transmission resource located between the second frequency domain position and the third frequency domain position is opposite to the change trend of the first parameter associated with the target transmission resource located between the second frequency domain position and the first frequency domain position.

[0464] In one possible implementation, some target transmission resources that are continuous in the frequency domain in the first resource set belong to a second subset, and the target resources included in the second subset are located between other transmission resources in the first resource set in the frequency domain, and the other transmission resources are transmission resources in the first resource set other than the target transmission resources included in the second subset, wherein the first parameters associated with the target transmission resources included in the second subset are the same.

[0465] In a possible implementation manner, the target transmission resource belongs to a third resource set, and the first parameters associated with the target transmission resources in the third resource set are the same.

[0466] In one possible implementation, some of the target transmission resources included in the first resource set belong to a third subset, and the target transmission resources in the third subset are arranged according to a first rule, wherein the first rule includes one or more of the following: the transmission resources within the target time domain unit are arranged at intervals in the frequency domain; the transmission resources within the target frequency domain unit are arranged at intervals in the frequency domain; multiple groups of transmission resources within the target time domain unit are arranged at intervals in the frequency domain, one group of transmission resources in the multiple groups of transmission resources includes multiple transmission resources, and the multiple transmission resources are continuous in the frequency domain; multiple groups of transmission resources within the target frequency domain unit are arranged at intervals in the time domain, one group of transmission resources in the multiple groups of transmission resources includes multiple transmission resources, and the multiple transmission resources are continuous in the time domain.

[0467] In one possible implementation, the transmission resources in the first resource set other than the target transmission resources included in the third subset are other transmission resources, and the first parameter associated with the target transmission resources in the third subset is greater than the first parameter associated with the other transmission resources, or the first parameter associated with the target transmission resources in the third subset is less than the first parameter associated with the other transmission resources.

[0468] In a possible implementation, the first parameter is obtained by adjusting the initial parameter using a target model, wherein the target model is used to adjust the initial parameter according to a transmission condition of the first signal.

[0469] In a possible implementation, the transmission condition of the first signal is associated with training data of the target model, and the training data is used to train the target model.

[0470] In a possible implementation, the transmission condition is associated with one or more of the following: the number of antennas transmitting the first signal; the channel condition of the channel transmitting the first signal; and the characteristics of a radio frequency device transmitting the first signal.

[0471] In a possible implementation manner, energy of the first information adjusted based on the first parameter on the target transmission resource is less than an energy threshold associated with the target transmission resource.

[0472] In a possible implementation manner, the size of the resource set where the target transmission resource is located is determined based on the size of the transmission resource allocated by the network device.

[0473] In an optional embodiment, the sending unit 6810 may be a transceiver 7030. The communication device 6800 may further include a processor 7010 and a memory 7020, as specifically shown in FIG70 .

[0474] In an optional embodiment, the receiving unit 6910 may be a transceiver 7030. The communication device 6900 may further include a processor 7010 and a memory 7020, as specifically shown in FIG70 .

[0475] Figure 70 is a schematic block diagram of a communication device according to an embodiment of the present application. The dashed lines in Figure 70 indicate that the unit or module is optional. The device 7000 may be used to implement the method described in the above method embodiment. The device 7000 may be a chip, a terminal device, or a network device.

[0476] The device 7000 may include one or more processors 7010. The processor 7010 may support the device 7000 to implement the method described in the method embodiment above. The processor 7010 may be a general-purpose processor or a special-purpose processor. For example, the processor may be a central processing unit (CPU). Alternatively, the processor may be another general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0477] The apparatus 7000 may further include one or more memories 7020. The memories 7020 store programs that can be executed by the processor 7010, causing the processor 7010 to perform the methods described in the above method embodiments. The memories 7020 may be independent of the processor 7010 or integrated into the processor 7010.

[0478] The apparatus 7000 may further include a transceiver 7030. The processor 7010 may communicate with other devices or chips via the transceiver 7030. For example, the processor 7010 may transmit and receive data with other devices or chips via the transceiver 7030.

[0479] The present application also provides a computer-readable storage medium for storing a program. The computer-readable storage medium can be applied to a terminal or network device provided in the present application, and the program enables a computer to execute the method performed by the terminal or network device in each embodiment of the present application.

[0480] The present application also provides a computer program product. The computer program product includes a program. The computer program product can be applied to a terminal or network device provided in the present application, and the program causes a computer to execute the method performed by the terminal or network device in each embodiment of the present application.

[0481] The embodiments of the present application also provide a computer program. The computer program can be applied to the terminal or network device provided in the embodiments of the present application, and the computer program enables a computer to execute the method performed by the terminal or network device in each embodiment of the present application.

[0482] It should be understood that the terms "system" and "network" in this application can be used interchangeably. In addition, the terms used in this application are only used to explain the specific embodiments of this application and are not intended to limit this application. The terms "first", "second", "third", and "fourth" in the specification and claims of this application and the accompanying drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions.

[0483] In the embodiments of this application, the term "indication" may refer to a direct indication, an indirect indication, or an indication of an association. For example, "A indicates B" may refer to a direct indication of B, e.g., B can obtain information through A; it may refer to an indirect indication of B, e.g., A indicates C, e.g., B can obtain information through C; or it may refer to an association between A and B.

[0484] In the embodiment of the present application, "B corresponding to A" means that B is associated with A and B can be determined based on A. However, it should be understood that determining B based on A does not mean determining B based solely on A, but B can also be determined based on A and / or other information.

[0485] In the embodiments of the present application, the term "corresponding" may indicate a direct or indirect correspondence between the two, or an association relationship between the two, or a relationship between indication and indication, configuration and configuration, etc.

[0486] In the embodiments of the present application, "pre-definition" or "pre-configuration" may be implemented by pre-storing corresponding codes, tables, or other methods that can be used to indicate relevant information in a device (e.g., a terminal device and a network device). The present application does not limit the specific implementation method. For example, pre-definition may refer to information defined in a protocol.

[0487] In the embodiments of the present application, the “protocol” may refer to a standard protocol in the communications field, for example, it may include an LTE protocol, an NR protocol, and related protocols used in future communication systems, and the present application does not limit this.

[0488] In the embodiments of this application, the term "and / or" is simply a description of the association relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this document generally indicates that the related objects are in an "or" relationship.

[0489] In various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0490] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0491] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0492] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0493] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that can be read by a computer or a data storage device such as a server or data center that includes one or more available media integrated therein. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a digital versatile disc (DVD)), or a semiconductor medium (eg, a solid state disk (SSD)).

[0494] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A wireless communication method, characterized in that: include: The first device sends a target signal to the second device on a target transmission resource, wherein the target signal includes a first signal and a second signal that are non-orthogonally transmitted.

2. The method according to claim 1, characterized in that The target transmission resource is associated with a first parameter, and the first parameter is used to adjust the energy of a first signal transmitted on the associated target transmission resource.

3. The method according to claim 2, characterized in that The target transmission resource belongs to a first resource set, the first resource set includes a plurality of the target transmission resources, and the first parameters associated with the plurality of target transmission resources in the first resource set and located in the same time domain unit are the same; and / or The first parameters associated with multiple target transmission resources located in different time domain units in the first resource set are partially or completely different.

4. The method according to claim 2 or 3, characterized in that The time domain position where the target transmission resource in the first resource set is located includes a first time domain position and a second time domain position, wherein the target transmission resource located between the first time domain position and the second time domain position satisfies one or more of the following rules: According to the order of the time domain units from early to late in the time domain, the first parameter associated with each target transmission resource increases; According to the order of the time domain units from late to early in the time domain, the first parameter associated with each target transmission resource decreases; According to the order of the time domain units from early to late in the time domain, the first parameter associated with the target transmission resource increases every q time domain units; According to the order of the time domain units from late to early in the time domain, the first parameter associated with the target transmission resource decreases every q time domain units; Here, q is a positive integer greater than or equal to 0.

5. The method according to claim 4, characterized in that The first time domain position is earlier than other time domain positions in the first resource set except the first time domain position in the time domain, or the first time domain position is later than the other time domain positions in the time domain.

6. The method according to claim 4 or 5, characterized in that The second time domain position is located at the central time domain position of the first resource set in the time domain.

7. The method according to any one of claims 4 to 6, characterized in that The time domain position where the target transmission resource in the first resource set is located also includes a third time domain position, and the first time domain position and the third time domain position are located on both sides of the second time domain position in the time domain, Among them, the change trend of the first parameter associated with the target transmission resource located between the second time domain position and the third time domain position is opposite to the change trend of the first parameter associated with the target transmission resource located between the second time domain position and the first time domain position.

8. The method according to any one of claims 2 to 7, characterized in that Some target transmission resources that are continuous in the time domain in the first resource set belong to the first subset, and the target resources included in the first subset are located between other transmission resources in the first resource set in the time domain, and the other transmission resources are transmission resources in the first resource set except the target transmission resources included in the first subset, wherein the first parameters associated with the target transmission resources included in the first subset are the same.

9. The method according to claim 2, characterized in that The target transmission resource belongs to a second resource set, the second resource set includes a plurality of the target transmission resources, and the first parameters associated with the plurality of target transmission resources in the same frequency domain unit in the second resource set are the same; and / or The first parameters associated with multiple target transmission resources located in different frequency domain units in the second resource set are partially or completely different.

10. The method according to claim 2 or 9, characterized in that The frequency domain position where the target transmission resource in the second resource set is located includes a first frequency domain position and a second frequency domain position, wherein the target transmission resource located between the first frequency domain position and the second frequency domain position satisfies one or more of the following rules: The first parameter associated with each target transmission resource increases in order of the frequency domain units from high to low in the frequency domain; The first parameter associated with each target transmission resource decreases in the order of the frequency domain units from low to high in the frequency domain; The first parameter associated with the target transmission resource increases every q frequency domain units in the order of the frequency domain units from high to low in the frequency domain; The first parameter associated with the target transmission resource decreases every q frequency domain units in the order of the frequency domain units from low to high in the frequency domain; Here, q is a positive integer greater than or equal to 0.

11. The method according to claim 10, characterized in that The first frequency domain position is lower in the frequency domain than other frequency domain positions in the second resource set except the first frequency domain position, or the first frequency domain position is higher in the frequency domain than the other frequency domain positions.

12. The method according to claim 10 or 11, characterized in that The second frequency domain position is located at a central frequency domain position of the second resource set in the frequency domain.

13. The method according to any one of claims 10 to 12, characterized in that The frequency domain position where the target transmission resource in the second resource set is located also includes a third frequency domain position, and the first frequency domain position and the third frequency domain position are located on both sides of the second frequency domain position in the frequency domain, Among them, the change trend of the first parameter associated with the target transmission resource located between the second frequency domain position and the third frequency domain position is opposite to the change trend of the first parameter associated with the target transmission resource located between the second frequency domain position and the first frequency domain position.

14. The method according to any one of claims 9 to 13, characterized in that Some target transmission resources that are continuous in the frequency domain in the first resource set belong to the second subset, and the target resources included in the second subset are located between other transmission resources in the first resource set in the frequency domain, and the other transmission resources are transmission resources in the first resource set except the target transmission resources included in the second subset, wherein the first parameters associated with the target transmission resources included in the second subset are the same.

15. The method according to claim 2, characterized in that The target transmission resource belongs to a third resource set, and the first parameters associated with the target transmission resources in the third resource set are the same.

16. The method according to any one of claims 2 to 15, characterized in that Some of the target transmission resources belong to a third resource set, a first parameter associated with the target transmission resources in the third resource set is determined based on a first adjustment value, and the target transmission resources in the third resource set are arranged according to a first rule, wherein the first rule includes one or more of the following: The transmission resources within the target time domain unit are arranged at intervals in the frequency domain; The transmission resources within the target frequency domain unit are arranged at intervals in the frequency domain; The multiple groups of transmission resources in the target time domain unit are arranged at intervals in the frequency domain, one group of transmission resources in the multiple groups of transmission resources includes multiple transmission resources, and the multiple transmission resources are continuous in the frequency domain; The multiple groups of transmission resources within the target frequency domain unit are arranged at intervals in the time domain, one group of transmission resources in the multiple groups of transmission resources includes multiple transmission resources, and the multiple transmission resources are continuous in the time domain.

17. The method according to claim 16, characterized in that The target transmission resource belongs to a target resource set, and the target transmission resources in the target resource set except the target transmission resources included in the third resource set are other transmission resources, The first parameter associated with the target transmission resource in the third resource set is greater than the first parameter associated with the other transmission resources, or the first parameter associated with the target transmission resource in the third resource set is smaller than the first parameter associated with the other transmission resources.

18. The method according to claim 2, characterized in that The method further comprises: The first device adjusts initial parameters using a target model to obtain the first parameters, wherein the target model is used to adjust the initial parameters according to a transmission condition of the first signal.

19. The method according to claim 18, characterized in that The transmission condition of the first signal is associated with training data of the target model, and the training data is used to train the target model.

20. The method according to claim 18 or 19, characterized in that The transmission condition is associated with one or more of the following: the number of antennas transmitting the first signal; a channel condition of a channel over which the first signal is transmitted; Characteristics of a radio frequency device that transmits the first signal.

21. The method according to any one of claims 2 to 20, characterized in that The energy of the first information adjusted based on the first parameter on the target transmission resource is less than an energy threshold associated with the target transmission resource.

22. The method according to any one of claims 1 to 21, characterized in that The size of the resource set where the target transmission resource is located is determined based on the size of the transmission resource allocated by the network device.

23. A wireless communication method, characterized in that: include: The second device receives a target signal sent by the first device on a target transmission resource, wherein the target signal includes a first signal and a second signal transmitted in a non-orthogonal manner.

24. The method of claim 23, wherein: The target transmission resource is associated with a first parameter, and the first parameter is used to adjust the energy of a first signal transmitted on the associated target transmission resource.

25. The method of claim 24, wherein: The target transmission resource belongs to a first resource set, the first resource set includes a plurality of the target transmission resources, and the first parameters associated with the plurality of target transmission resources in the first resource set and located in the same time domain unit are the same; and / or The first parameters associated with multiple target transmission resources located in different time domain units in the first resource set are partially or completely different.

26. The method according to claim 24 or 25, characterized in that The time domain position where the target transmission resource in the first resource set is located includes a first time domain position and a second time domain position, wherein the target transmission resource located between the first time domain position and the second time domain position satisfies one or more of the following rules: The first parameter associated with each target transmission resource increases according to the order of the time domain units from early to late in the time domain; The first parameter associated with each target transmission resource decreases according to the order of the time domain units from late to early in the time domain; The first parameter associated with the target transmission resource increases every q time domain units in the order of the time domain units from early to late in the time domain; According to the order of the time domain units from late to early in the time domain, the first parameter associated with the target transmission resource decreases every q time domain units; Here, q is a positive integer greater than or equal to 0.

27. The method of claim 26, wherein: The first time domain position is earlier than other time domain positions in the first resource set except the first time domain position in the time domain, or the first time domain position is later than the other time domain positions in the time domain.

28. The method according to claim 26 or 27, characterized in that The second time domain position is located at the central time domain position of the first resource set in the time domain.

29. The method according to any one of claims 26 to 28, characterized in that The time domain position where the target transmission resource in the first resource set is located also includes a third time domain position, and the first time domain position and the third time domain position are located on both sides of the second time domain position in the time domain, Among them, the change trend of the first parameter associated with the target transmission resource located between the second time domain position and the third time domain position is opposite to the change trend of the first parameter associated with the target transmission resource located between the second time domain position and the first time domain position.

30. The method according to any one of claims 24 to 29, characterized in that Some target transmission resources that are continuous in the time domain in the first resource set belong to the first subset, and the target resources included in the first subset are located between other transmission resources in the first resource set in the time domain, and the other transmission resources are transmission resources in the first resource set except the target transmission resources included in the first subset, wherein the first parameters associated with the target transmission resources included in the first subset are the same.

31. The method of claim 24, wherein: The target transmission resource belongs to a second resource set, the second resource set includes a plurality of the target transmission resources, and the first parameters associated with the plurality of target transmission resources in the same frequency domain unit in the second resource set are the same; and / or The first parameters associated with multiple target transmission resources located in different frequency domain units in the second resource set are partially or completely different.

32. The method according to claim 24 or 31, characterized in that The frequency domain position where the target transmission resource in the second resource set is located includes a first frequency domain position and a second frequency domain position, wherein the target transmission resource located between the first frequency domain position and the second frequency domain position satisfies one or more of the following rules: The first parameter associated with each target transmission resource increases in order of the frequency domain units from high to low in the frequency domain; The first parameter associated with each target transmission resource decreases in the order of the frequency domain units from low to high in the frequency domain; The first parameter associated with the target transmission resource increases every q frequency domain units in the order of the frequency domain units from high to low in the frequency domain; The first parameter associated with the target transmission resource decreases every q frequency domain units in the order of the frequency domain units from low to high in the frequency domain; Here, q is a positive integer greater than or equal to 0.

33. The method of claim 32, wherein: The first frequency domain position is lower in the frequency domain than other frequency domain positions in the second resource set except the first frequency domain position, or the first frequency domain position is higher in the frequency domain than the other frequency domain positions.

34. The method according to claim 32 or 33, characterized in that The second frequency domain position is located at a central frequency domain position of the second resource set in the frequency domain.

35. The method according to any one of claims 32 to 34, characterized in that The frequency domain position where the target transmission resource in the second resource set is located also includes a third frequency domain position, and the first frequency domain position and the third frequency domain position are located on both sides of the second frequency domain position in the frequency domain, Among them, the change trend of the first parameter associated with the target transmission resource located between the second frequency domain position and the third frequency domain position is opposite to the change trend of the first parameter associated with the target transmission resource located between the second frequency domain position and the first frequency domain position.

36. The method according to any one of claims 31 to 35, characterized in that Some target transmission resources that are continuous in the frequency domain in the first resource set belong to the second subset, and the target resources included in the second subset are located between other transmission resources in the first resource set in the frequency domain, and the other transmission resources are transmission resources in the first resource set except the target transmission resources included in the second subset, wherein the first parameters associated with the target transmission resources included in the second subset are the same.

37. The method of claim 24, wherein: The target transmission resource belongs to a third resource set, and the first parameters associated with the target transmission resources in the third resource set are the same.

38. The method according to any one of claims 24 to 37, characterized in that Some of the target transmission resources included in the first resource set belong to a third subset, and the target transmission resources in the third subset are arranged according to a first rule, wherein the first rule includes one or more of the following: The transmission resources within the target time domain unit are arranged at intervals in the frequency domain; The transmission resources within the target frequency domain unit are arranged at intervals in the frequency domain; The multiple groups of transmission resources in the target time domain unit are arranged at intervals in the frequency domain, one group of transmission resources in the multiple groups of transmission resources includes multiple transmission resources, and the multiple transmission resources are continuous in the frequency domain; The multiple groups of transmission resources within the target frequency domain unit are arranged at intervals in the time domain, one group of transmission resources in the multiple groups of transmission resources includes multiple transmission resources, and the multiple transmission resources are continuous in the time domain.

39. The method of claim 38, wherein: The transmission resources in the first resource set except the target transmission resources included in the third subset are other transmission resources, The first parameter associated with the target transmission resource in the third subset is greater than the first parameter associated with the other transmission resources, or the first parameter associated with the target transmission resource in the third subset is smaller than the first parameter associated with the other transmission resources.

40. The method of claim 24, wherein: The first parameter is obtained by adjusting the initial parameter by using a target model, wherein the target model is used to adjust the initial parameter according to a transmission condition of the first signal.

41. The method of claim 40, wherein: The transmission condition of the first signal is associated with training data of the target model, and the training data is used to train the target model.

42. The method according to claim 40 or 41, characterized in that The transmission condition is associated with one or more of the following: the number of antennas transmitting the first signal; a channel condition of a channel over which the first signal is transmitted; Characteristics of a radio frequency device that transmits the first signal.

43. The method according to any one of claims 24 to 42, characterized in that The energy of the first information adjusted based on the first parameter on the target transmission resource is less than an energy threshold associated with the target transmission resource.

44. The method according to any one of claims 23 to 43, characterized in that The size of the resource set where the target transmission resource is located is determined based on the size of the transmission resource allocated by the network device.

45. A communication device, characterized in that: The communication device is a first device, and the communication device includes: A sending unit sends a target signal to a second device on a target transmission resource, wherein the target signal includes a first signal and a second signal that are non-orthogonally transmitted.

46. ​​The device according to claim 45, characterized in that The target transmission resource is associated with a first parameter, and the first parameter is used to adjust the energy of a first signal transmitted on the associated target transmission resource.

47. The device according to claim 46, characterized in that The target transmission resource belongs to a first resource set, the first resource set includes a plurality of the target transmission resources, and the first parameters associated with the plurality of target transmission resources in the first resource set and located in the same time domain unit are the same; and / or The first parameters associated with multiple target transmission resources located in different time domain units in the first resource set are partially or completely different.

48. The device according to claim 46 or 47, characterized in that The time domain position where the target transmission resource in the first resource set is located includes a first time domain position and a second time domain position, wherein the target transmission resource located between the first time domain position and the second time domain position satisfies one or more of the following rules: According to the order of the time domain units from early to late in the time domain, the first parameter associated with each target transmission resource increases; According to the order of the time domain units from late to early in the time domain, the first parameter associated with each target transmission resource decreases; According to the order of the time domain units from early to late in the time domain, the first parameter associated with the target transmission resource increases every q time domain units; According to the order of the time domain units from late to early in the time domain, the first parameter associated with the target transmission resource decreases every q time domain units; Here, q is a positive integer greater than or equal to 0.

49. The device according to claim 48, characterized in that The first time domain position is earlier than other time domain positions in the first resource set except the first time domain position in the time domain, or the first time domain position is later than the other time domain positions in the time domain.

50. The device according to claim 48 or 49, characterized in that The second time domain position is located at the central time domain position of the first resource set in the time domain.

51. The device according to any one of claims 48 to 50, characterized in that The time domain position where the target transmission resource in the first resource set is located also includes a third time domain position, and the first time domain position and the third time domain position are located on both sides of the second time domain position in the time domain, Among them, the change trend of the first parameter associated with the target transmission resource located between the second time domain position and the third time domain position is opposite to the change trend of the first parameter associated with the target transmission resource located between the second time domain position and the first time domain position.

52. The device according to any one of claims 46 to 51, characterized in that Some target transmission resources that are continuous in the time domain in the first resource set belong to the first subset, and the target resources included in the first subset are located between other transmission resources in the first resource set in the time domain, and the other transmission resources are transmission resources in the first resource set except the target transmission resources included in the first subset, wherein the first parameters associated with the target transmission resources included in the first subset are the same.

53. The device of claim 46, wherein: The target transmission resource belongs to a second resource set, the second resource set includes a plurality of the target transmission resources, and the first parameters associated with the plurality of target transmission resources in the same frequency domain unit in the second resource set are the same; and / or The first parameters associated with multiple target transmission resources located in different frequency domain units in the second resource set are partially or completely different.

54. The device according to claim 46 or 53, characterized in that The frequency domain position where the target transmission resource in the second resource set is located includes a first frequency domain position and a second frequency domain position, wherein the target transmission resource located between the first frequency domain position and the second frequency domain position satisfies one or more of the following rules: The first parameter associated with each target transmission resource increases in order of the frequency domain units from high to low in the frequency domain; The first parameter associated with each target transmission resource decreases in the order of the frequency domain units from low to high in the frequency domain; The first parameter associated with the target transmission resource increases every q frequency domain units in the order of the frequency domain units from high to low in the frequency domain; The first parameter associated with the target transmission resource decreases every q frequency domain units in the order of the frequency domain units from low to high in the frequency domain; Here, q is a positive integer greater than or equal to 0.

55. The device according to claim 54, characterized in that The first frequency domain position is lower in the frequency domain than other frequency domain positions in the second resource set except the first frequency domain position, or the first frequency domain position is higher in the frequency domain than the other frequency domain positions.

56. The device according to claim 54 or 55, characterized in that The second frequency domain position is located at a central frequency domain position of the second resource set in the frequency domain.

57. The device according to any one of claims 54 to 56, characterized in that The frequency domain position where the target transmission resource in the second resource set is located also includes a third frequency domain position, and the first frequency domain position and the third frequency domain position are located on both sides of the second frequency domain position in the frequency domain, Among them, the change trend of the first parameter associated with the target transmission resource located between the second frequency domain position and the third frequency domain position is opposite to the change trend of the first parameter associated with the target transmission resource located between the second frequency domain position and the first frequency domain position.

58. The device according to any one of claims 53 to 57, characterized in that Some target transmission resources that are continuous in the frequency domain in the first resource set belong to the second subset, and the target resources included in the second subset are located between other transmission resources in the first resource set in the frequency domain, and the other transmission resources are transmission resources in the first resource set except the target transmission resources included in the second subset, wherein the first parameters associated with the target transmission resources included in the second subset are the same.

59. The device of claim 46, wherein: The target transmission resource belongs to a third resource set, and the first parameters associated with the target transmission resources in the third resource set are the same.

60. The device according to any one of claims 46 to 59, characterized in that Some of the target transmission resources belong to a third resource set, a first parameter associated with the target transmission resources in the third resource set is determined based on a first adjustment value, and the target transmission resources in the third resource set are arranged according to a first rule, wherein the first rule includes one or more of the following: The transmission resources within the target time domain unit are arranged at intervals in the frequency domain; The transmission resources within the target frequency domain unit are arranged at intervals in the frequency domain; The multiple groups of transmission resources in the target time domain unit are arranged at intervals in the frequency domain, one group of transmission resources in the multiple groups of transmission resources includes multiple transmission resources, and the multiple transmission resources are continuous in the frequency domain; The multiple groups of transmission resources within the target frequency domain unit are arranged at intervals in the time domain, one group of transmission resources in the multiple groups of transmission resources includes multiple transmission resources, and the multiple transmission resources are continuous in the time domain.

61. The device according to claim 60, characterized in that The target transmission resource belongs to a target resource set, and the target transmission resources in the target resource set except the target transmission resources included in the third resource set are other transmission resources, The first parameter associated with the target transmission resource in the third resource set is greater than the first parameter associated with the other transmission resources, or the first parameter associated with the target transmission resource in the third resource set is smaller than the first parameter associated with the other transmission resources.

62. The device of claim 46, wherein: The device also includes: The first device adjusts initial parameters using a target model to obtain the first parameters, wherein the target model is used to adjust the initial parameters according to a transmission condition of the first signal.

63. The device according to claim 62, characterized in that The transmission condition of the first signal is associated with training data of the target model, and the training data is used to train the target model.

64. The device according to claim 62 or 63, characterized in that The transmission condition is associated with one or more of the following: the number of antennas transmitting the first signal; a channel condition of a channel over which the first signal is transmitted; Characteristics of a radio frequency device that transmits the first signal.

65. The device according to any one of claims 46 to 64, characterized in that The energy of the first information adjusted based on the first parameter on the target transmission resource is less than an energy threshold associated with the target transmission resource.

66. The device according to any one of claims 45 to 65, characterized in that The size of the resource set where the target transmission resource is located is determined based on the size of the transmission resource allocated by the network device.

67. A communication device, characterized in that: The communication device is a second device, comprising: A receiving unit is used to receive a target signal sent by a first device on a target transmission resource, wherein the target signal includes a first signal and a second signal of non-orthogonal transmission.

68. The device according to claim 67, characterized in that The target transmission resource is associated with a first parameter, and the first parameter is used to adjust the energy of a first signal transmitted on the associated target transmission resource.

69. The device according to claim 68, characterized in that The target transmission resource belongs to a first resource set, the first resource set includes a plurality of the target transmission resources, and the first parameters associated with the plurality of target transmission resources in the first resource set and located in the same time domain unit are the same; and / or The first parameters associated with multiple target transmission resources located in different time domain units in the first resource set are partially or completely different.

70. The device according to claim 68 or 69, characterized in that The time domain position where the target transmission resource in the first resource set is located includes a first time domain position and a second time domain position, wherein the target transmission resource located between the first time domain position and the second time domain position satisfies one or more of the following rules: The first parameter associated with each target transmission resource increases according to the order of the time domain units from early to late in the time domain; The first parameter associated with each target transmission resource decreases according to the order of the time domain units from late to early in the time domain; The first parameter associated with the target transmission resource increases every q time domain units in the order of the time domain units from early to late in the time domain; According to the order of the time domain units from late to early in the time domain, the first parameter associated with the target transmission resource decreases every q time domain units; Here, q is a positive integer greater than or equal to 0.

71. The device according to claim 70, characterized in that The first time domain position is earlier than other time domain positions in the first resource set except the first time domain position in the time domain, or the first time domain position is later than the other time domain positions in the time domain.

72. The device according to claim 70 or 71, characterized in that The second time domain position is located at the central time domain position of the first resource set in the time domain.

73. The device according to any one of claims 70 to 72, characterized in that The time domain position where the target transmission resource in the first resource set is located also includes a third time domain position, and the first time domain position and the third time domain position are located on both sides of the second time domain position in the time domain, Among them, the change trend of the first parameter associated with the target transmission resource located between the second time domain position and the third time domain position is opposite to the change trend of the first parameter associated with the target transmission resource located between the second time domain position and the first time domain position.

74. The device according to any one of claims 68 to 73, characterized in that Some target transmission resources that are continuous in the time domain in the first resource set belong to the first subset, and the target resources included in the first subset are located between other transmission resources in the first resource set in the time domain, and the other transmission resources are transmission resources in the first resource set except the target transmission resources included in the first subset, wherein the first parameters associated with the target transmission resources included in the first subset are the same.

75. The device of claim 68, wherein: The target transmission resource belongs to a second resource set, the second resource set includes a plurality of the target transmission resources, and the first parameters associated with the plurality of target transmission resources in the same frequency domain unit in the second resource set are the same; and / or The first parameters associated with multiple target transmission resources located in different frequency domain units in the second resource set are partially or completely different.

76. The device according to claim 68 or 75, characterized in that The frequency domain position where the target transmission resource in the second resource set is located includes a first frequency domain position and a second frequency domain position, wherein the target transmission resource located between the first frequency domain position and the second frequency domain position satisfies one or more of the following rules: The first parameter associated with each target transmission resource increases in order of the frequency domain units from high to low in the frequency domain; The first parameter associated with each target transmission resource decreases in the order of the frequency domain units from low to high in the frequency domain; The first parameter associated with the target transmission resource increases every q frequency domain units in the order of the frequency domain units from high to low in the frequency domain; The first parameter associated with the target transmission resource decreases every q frequency domain units in the order of the frequency domain units from low to high in the frequency domain; Here, q is a positive integer greater than or equal to 0.

77. The device of claim 76, wherein: The first frequency domain position is lower in the frequency domain than other frequency domain positions in the second resource set except the first frequency domain position, or the first frequency domain position is higher in the frequency domain than the other frequency domain positions.

78. The device according to claim 76 or 77, characterized in that The second frequency domain position is located at a central frequency domain position of the second resource set in the frequency domain.

79. The device according to any one of claims 76 to 78, characterized in that The frequency domain position where the target transmission resource in the second resource set is located also includes a third frequency domain position, and the first frequency domain position and the third frequency domain position are located on both sides of the second frequency domain position in the frequency domain, wherein a change trend of a first parameter associated with the target transmission resource located between the second frequency domain position and the third frequency domain position is opposite to a change trend of the first parameter associated with the target transmission resource located between the second frequency domain position and the first frequency domain position.

80. The device according to any one of claims 75 to 79, characterized in that Some target transmission resources that are continuous in the frequency domain in the first resource set belong to the second subset, and the target resources included in the second subset are located between other transmission resources in the first resource set in the frequency domain, and the other transmission resources are transmission resources in the first resource set except the target transmission resources included in the second subset, wherein the first parameters associated with the target transmission resources included in the second subset are the same.

81. The device of claim 68, wherein: The target transmission resource belongs to a third resource set, and the first parameters associated with the target transmission resources in the third resource set are the same.

82. The device according to any one of claims 68 to 81, characterized in that Some of the target transmission resources included in the first resource set belong to a third subset, and the target transmission resources in the third subset are arranged according to a first rule, wherein the first rule includes one or more of the following: The transmission resources within the target time domain unit are arranged at intervals in the frequency domain; The transmission resources within the target frequency domain unit are arranged at intervals in the frequency domain; The multiple groups of transmission resources in the target time domain unit are arranged at intervals in the frequency domain, one group of transmission resources in the multiple groups of transmission resources includes multiple transmission resources, and the multiple transmission resources are continuous in the frequency domain; The multiple groups of transmission resources within the target frequency domain unit are arranged at intervals in the time domain, one group of transmission resources in the multiple groups of transmission resources includes multiple transmission resources, and the multiple transmission resources are continuous in the time domain.

83. The device of claim 82, wherein: The transmission resources in the first resource set except the target transmission resources included in the third subset are other transmission resources, The first parameter associated with the target transmission resource in the third subset is greater than the first parameter associated with the other transmission resources, or the first parameter associated with the target transmission resource in the third subset is smaller than the first parameter associated with the other transmission resources.

84. The device of claim 68, wherein: The first parameter is obtained by adjusting the initial parameter by using a target model, wherein the target model is used to adjust the initial parameter according to a transmission condition of the first signal.

85. The device of claim 84, wherein: The transmission condition of the first signal is associated with training data of the target model, and the training data is used to train the target model.

86. The device according to claim 84 or 85, characterized in that The transmission condition is associated with one or more of the following: the number of antennas transmitting the first signal; a channel condition of a channel over which the first signal is transmitted; Characteristics of a radio frequency device that transmits the first signal.

87. The device according to any one of claims 68 to 86, characterized in that The energy of the first information adjusted based on the first parameter on the target transmission resource is less than an energy threshold associated with the target transmission resource.

88. The device according to any one of claims 67 to 87, characterized in that The size of the resource set where the target transmission resource is located is determined based on the size of the transmission resource allocated by the network device.

89. A communication device, characterized in that: It includes a transceiver, a memory and a processor, wherein the memory is used to store programs, and the processor is used to call the programs in the memory and control the transceiver to receive or send signals so that the terminal executes the method as described in any one of claims 1-44.

90. A device, characterized in that The device comprises a processor, configured to call a program from a memory so as to cause the device to execute a method as claimed in any one of claims 1 to 44.

91. A chip, characterized in that: It comprises a processor, which is used to call a program from a memory, so that a device equipped with the chip executes a method as claimed in any one of claims 1 to 44.

92. A computer-readable storage medium, characterized in that A program is stored thereon, the program causing a computer to execute the method according to any one of claims 1 to 44.

93. A computer program product, characterized in that A program is included, which causes a computer to execute the method according to any one of claims 1 to 44.

94. A computer program, characterized in that The computer program causes a computer to execute the method according to any one of claims 1 to 44.

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