Data channel model transmission method and apparatus, information transmission method and apparatus

Abstract

Embodiments of the present disclosure provide a method and apparatus for transmitting a data channel model, and a method and apparatus for transmitting information. The method for transmitting the data channel model includes: a step in which a first node receives data transmission requirement information transmitted from a second node; a step in which the first node determines a data channel model that matches the data transmission requirement information based on at least the data transmission requirement information; and a step in which the data channel model that matches the second node is transmitted to the second node.

Description

Technical Field

[0001] The present disclosure relates to the field of communications, and specifically, to a method and apparatus for transmitting a data channel model, and a method and apparatus for information transmission.

Background Art

[0002] Currently, in the 5th Generation Mobile Communication System (5G) New Radio (NR), system information transmits a Master Information Block (MIB) via a Physical Broadcast Channel (PBCH) in a Single Sideband (SSB), and then transports a System Information Block (SIB) via a Physical Downlink Shared Channel (PDSCH). The SIB may be divided into a plurality of blocks carrying different system information.

[0003] In the 6th Generation Mobile Communication System (6G), typical application scenarios such as smart cities, smart transportation, and smart homes appear. In the application scenarios of 6G, due to the existence of a large number of smart automation devices with highly differentiated capabilities, the communication requirements for aspects such as extremely low latency, extremely high reliability, extremely large bandwidth, and a large number of accesses are increasing.

[0004] In other words, in the 6G era, the types of terminals accessing the system will be extremely diverse. This presents two problems: on the one hand, the rapid increase in the number of wireless communication and sensing devices will increasingly highlight the contradiction between the endless increase in service needs and the limited wireless resources and computing power; on the other hand, realizing the 6G vision requires the acquisition of environmental sensing information, the exchange and sharing of information, smart information processing, and closed-loop information stream processing that hierarchically distributes control information (including control information for communication networks and control commands for application execution devices), but conventional technologies cannot meet this demand.

[0005] As will be seen, existing wireless network architectures and related technologies will have difficulty meeting the ever-evolving application needs of the post-5G (5G and Beyond, B5G) / 6G era. Continuing to use such a limited combination of data channel generation methods for NR will significantly limit the data transmission efficiency of terminals and affect the spectral efficiency of the system.

[0006] Therefore, in order to meet the data transmission needs of different types of UEs and improve spectral efficiency, a method for generating data channels for different terminal types is required, but conventional technologies lack such a method.

[0007] Conventional technologies lack methods for generating data channel models for different terminal types, and currently, no effective solutions have been proposed to address the problem of limiting the data transmission efficiency of terminals.

[0008] Therefore, it is necessary to improve the related technologies in order to overcome the aforementioned shortcomings. [Overview of the project] [Problems that the invention aims to solve]

[0009] Embodiments of this disclosure provide a method and apparatus for transmitting data channel models, and an information transmission method and apparatus, which at least solve the problems of prior art, which lack a method for generating data channel models for different terminal types and further limit the data transmission efficiency of terminals. [Means for solving the problem]

[0010] According to one embodiment of the present disclosure, a method for transmitting a data channel model is provided, comprising the steps of: a first node receiving data transmission demand information transmitted from a second node; the first node determining a data channel model that matches the data transmission demand information based on at least the data transmission demand information; and transmitting the matching data channel model to the second node.

[0011] According to one embodiment of the present disclosure, a method for receiving a data channel model is provided, comprising the steps of: a second node transmitting data transmission demand information to a first node; and the second node receiving data channel model information transmitted from the first node, which is determined based on at least the data transmission demand information, and obtaining at least one of N function modules and M function module configuration information from the data channel model information, wherein N and M are both integers of 1 or more.

[0012] According to one embodiment of the present disclosure, an information transmission method is provided, comprising the step of a second node receiving first type of control information transmitted from a first node, wherein the first type of control information indicates a data channel generation method, the data channel generation method includes at least one of a first data channel generation method already stored and a second data channel generation method that determines a data channel by a data channel model, and the data channel model is determined by a method in which the first node receives data transmission demand information transmitted from the second node and determines a data channel model that matches the data transmission demand information based on at least the data transmission demand information.

[0013] According to one embodiment of the present disclosure, a data channel model transmitter applied to a first node is provided, comprising: a first receiving module configured to receive data transmission demand information transmitted from a second node; a computing module configured to determine a data channel model that matches the data transmission demand information based on at least the data transmission demand information; and a first transmitting module configured to transmit the matching data channel model to the second node.

[0014] According to one embodiment of the present disclosure, a data channel model receiving device applied to a second node is provided, comprising: a second transmitting module configured to transmit data transmission demand information to a first node; and a second receiving module configured to receive the data channel model transmitted from the first node, which is determined based on the data transmission demand information, and to obtain from the data channel model at least one of N functional modules in data transmission and configuration information for M functional modules in data transmission.

[0015] According to one embodiment of the present disclosure, an information transmission device is provided, which includes a third receiving module configured to receive first type control information transmitted from a first node, wherein the first type control information indicates a data channel generation method, and the data channel generation method includes at least one of a first data channel generation method already stored and a second data channel generation method that determines a data channel by a data channel model, wherein the data channel model is determined by the first node receiving data transmission demand information transmitted from the second node and determining a data channel model that matches the data transmission demand information based on at least the data transmission demand information.

[0016] Further embodiments of the present disclosure provide a computer-readable storage medium in which a computer program is stored, the computer program being configured, when executed, to perform the steps in any of the embodiments of the above method.

[0017] Another embodiment of the present disclosure further provides an electronic device comprising a memory in which a computer program is stored, and a processor configured to execute the computer program and perform the steps in any of the embodiments of the above method. [Effects of the Invention]

[0018] According to this disclosure, the first node receives data transmission demand information transmitted from the second node, the first node determines a data channel model that matches the data transmission demand information based on at least the data transmission demand information, and transmits the matching data channel model to the second node. In this disclosure, the first node may be a network side, and the second node may be a terminal, etc. Since this disclosure determines a corresponding data channel model based on the data transmission demand information of a terminal and transmits it to the terminal, it is possible to determine a data channel model corresponding to a terminal based on the demands of different types of terminals, thereby solving the problem in the prior art of lacking a method for generating data channel models for different terminal types and further limiting the data transmission efficiency of terminals. [Brief explanation of the drawing]

[0019] [Figure 1] This is a block diagram showing the hardware configuration of a computer terminal for a preferred data channel model transmission method according to an embodiment of the present disclosure. [Figure 2] This is a flowchart of a preferred data channel model transmission method according to an embodiment of the present disclosure. [Figure 3] This is a schematic diagram of a preferred data channel model matching to a second node according to an embodiment of the present disclosure. [Figure 4] This is a flowchart of a preferred data channel model receiving method according to an embodiment of the present disclosure. [Figure 5] This figure shows the configuration of each functional module during data transmission according to an embodiment of the present disclosure. [Figure 6] This is a schematic diagram of a preferred data channel model transmission method according to Example 1. [Figure 7] This is a schematic diagram of a preferred data channel model transmission method according to Example 2. [Figure 8] This is a schematic diagram of a preferred data channel model transmission method according to Example 3. [Figure 9]It is a schematic diagram of a preferred data channel model transmission method according to Embodiment 4. [Figure 10] It is a flowchart of a preferred information transmission method according to an embodiment of the present disclosure. [Figure 11] It is a schematic diagram (Part 1) of a preferred frame structure according to an embodiment of the present disclosure. [Figure 12] It is a schematic diagram (Part 2) of a preferred frame structure according to an embodiment of the present disclosure. [Figure 13] It is a block configuration diagram of a preferred data channel model transmission device according to an embodiment of the present disclosure. [Figure 14] It is a block configuration diagram of a preferred data channel model receiving device according to an embodiment of the present disclosure. [Figure 15] It is a block configuration diagram of a preferred information transmission device according to an embodiment of the present disclosure.

Modes for Carrying Out the Invention

[0020] In order for those skilled in the art to better understand the solution means of the present disclosure, hereinafter, while referring to the drawings in the embodiments of the present disclosure, the technical solution means in the embodiments of the present disclosure will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, not all of them. Based on the embodiments in the present disclosure, all other embodiments obtained by those skilled in the art without creative labor should belong to the protection scope of the present disclosure.

[0021] Note that terms such as "first" and "second" in the specification, claims, and above drawings of the present disclosure are not used to describe a specific order or sequence, but are used to distinguish similar objects. It should be understood that the data used in this way should be appropriately exchanged so that the embodiments of the present disclosure described in this specification can be implemented in an order other than those illustrated or described in this specification.

[0022] Furthermore, the terms “includes” and “have,” and any variations thereof, are intended to cover non-exclusive inclusion, for example, a process, method, system, product, or apparatus that includes a series of steps or units, is not limited to the steps or units explicitly indicated, and may include other steps or units that are not explicitly indicated or are specific to those processes, methods, products, or apparatus.

[0023] To better understand the following technical means, the relevant technologies of this disclosure are described below.

[0024] The large-scale commercialization of 5th Generation Mobile Communication Systems (5G) and New Radio (NR) is accelerating the transformation of the economy and society towards digitalization, networking, and intelligence, and is driving the network into a new era where everything is interconnected.

[0025] The rapidly emerging application needs in areas such as smart cities, smart transportation, and smart industrial production are driving the development of differentiated network equipment capabilities, diversified network functions, and intelligent network management, further accelerating the arrival of the 6th Generation Mobile Communication System (6G), which intelligently interconnects everything. In typical 6G application scenarios such as smart cities, smart transportation, and smart homes, the presence of a large number of highly differentiated smart automation devices creates increasingly stringent communication demands in terms of extremely low latency, extremely high reliability, extremely large bandwidth, and massive access. Smart automation applications also demand high precision and high resolution in sensing capabilities.

[0026] On the one hand, the rapid increase in the number of wireless communication and sensing devices is exacerbating the conflict between the endless increase in service needs and the limited wireless resources and computing power. On the other hand, realizing the 6G vision requires the acquisition of environmental sensing information, information exchange and sharing, smart information processing, and closed-loop information stream processing that hierarchically distributes control information (including control information for communication networks and control commands for application execution devices). Existing wireless network architectures and related technologies will struggle to meet the constantly emerging application needs of the post-5G era (5G and Beyond, B5G) / 6G era. Therefore, there is an urgent need to develop new network architectures and enable technologies that efficiently utilize resources, differentiate applications, and are smartly adapted.

[0027] The rise of artificial intelligence (AI) technologies, such as deep learning, reinforcement learning, and distributed learning, has had a broad and profound impact on various fields, including the optimization of communication networks and intelligent sensing and control applications, greatly promoting the potential for deep convergence of communication, sensing, and computing. Based on this, as 6G achieves the convergence and symbiosis of communication and sensing capabilities with the support of smart computing technologies, it will give 6G networks the ability to intelligently sense the physical world and mirror the digital world anytime, anywhere. A large number of connected new smart terminals will learn, communicate, cooperate, and compete based on their increasingly powerful computing capabilities, enabling self-learning, self-operation, and self-maintenance of the network, further realizing the vision of an integrated 6G communication, sensing, and computing network.

[0028] Artificial intelligence (AI) and machine learning (ML) are widely recognized as being introduced into wireless communication systems. For example, research topics include, but are not limited to, CSI feedback, beam management, channel estimation, positioning, interference management, and user scheduling.

[0029] In some embodiments, artificial intelligence (AI) includes devices, components, software, and modules that have self-learning capabilities, such as machine learning (ML), deep learning, reinforcement learning, transfer learning, deep reinforcement learning, and meta-learning.

[0030] In some embodiments, artificial intelligence is implemented by an artificial intelligence network (or neural network), the neural network comprising multiple layers, each layer comprising at least one node, in one example the neural network comprising an input layer, an output layer, and at least one hidden layer, and each layer of the neural network comprising at least one of the following: a fully connected layer, a dense layer, a convolutional layer, a transposed convolutional layer, a directly connected layer, an activation function, a normalization layer, a pooling layer, etc.

[0031] In some embodiments, each layer of the neural network may include sub-neural networks such as residual network blocks (or Resnet blocks), dense network blocks (Densenet Blocks), and recurrent neural networks (RNNs). The artificial intelligence network includes a neural network model and / or neural network parameters corresponding to the neural network model, where the neural network model may be abbreviated as the network model and the neural network parameters may be abbreviated as the network parameters.

[0032] A network model defines the architecture of the neural network, including the number of layers, the size of each layer, the activation function, the link status, the convolutional kernel and its size, the convolutional stride, and the convolutional type (e.g., 1D convolution, 2D convolution, 3D convolution, hollow convolution, transposed convolution, divisible convolution, grouped convolution, expanded convolution, etc.). Network parameters are the network weights and / or biases of each layer in the network model and their values.

[0033] A single network model can accommodate multiple sets of different neural network parameter values ​​to adapt to different scenarios. Network parameter values ​​can be obtained through offline and / or online training. A single neural network model can accommodate multiple different neural network parameter values.

[0034] Embodiments of the methods according to the embodiments of this disclosure can be executed on a computer terminal or a similar computing device. As an example of operation on a computer terminal, Figure 1 is a block diagram showing the hardware configuration of a computer terminal for a preferred data transmission method according to an embodiment of this disclosure.

[0035] As shown in Figure 1, the computer terminal may include one or more (only one is shown in Figure 1) processors 103 (the processors 103 include, but are not limited to, a microprocessor unit (MPU) or a programmable logic device (PLD)) and a memory 104 for storing data. In one exemplary embodiment, the computer terminal may further include transmission equipment 106 and input / output equipment 108 for communication functions.

[0036] As those skilled in the art will understand, the structure shown in Figure 1 is merely schematic and does not limit the structure of the computer terminal described above. For example, the computer terminal may include more or fewer components than those shown in Figure 1, or may have a different configuration with equivalent or more functions than those shown in Figure 1.

[0037] Memory 104 may store software programs and modules of application software, for example, computer programs corresponding to the data transmission method in the embodiments of this disclosure, and the processor 103 executes various functional applications and data processing by executing the computer programs stored in memory 104, thereby realizing the above method. Memory 104 may include high-speed random access memory and may further include non-volatile memory such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory.

[0038] In some embodiments, the memory 104 may further include memory installed remotely from the processor 103, and these remote memories may be connected to computer terminals via a network. Examples of the network include, but are not limited to, the Internet, a corporate intranet, a local area network, a mobile communication network, and combinations thereof.

[0039] The transmission device 106 transmits and receives data via a single network. Specific examples of the above network may include a wireless network provided by a computer terminal's telecommunications carrier. In one embodiment, the transmission device 106 includes a network adapter (Network Interface Controller, abbreviated as NIC) that is connected to other network devices by a base station and can communicate with the Internet. In one embodiment, the transmission device 106 may also be a radio frequency (RF) module that communicates with the Internet wirelessly.

[0040] Figure 2 is a flowchart of a preferred data channel model transmission method according to an embodiment of the present disclosure, and as shown in Figure 2, the steps of the data transmission method include the following steps S202 to S206.

[0041] In step S202, the first node receives data transmission demand information sent from the second node. In step S204, the first node determines a data channel model that matches the data transmission demand information, based at least on the data transmission demand information. In step S206, a data channel model that matches the second node is sent to the second node.

[0042] According to the above steps, the first node receives data transmission demand information transmitted from the second node, the first node determines a data channel model that matches the data transmission demand information based on at least the data transmission demand information, and transmits the matching data channel model to the second node. In the above steps, the first node may be a network side, and the second node may be a terminal, and the first node determines a corresponding data channel model based on the data transmission demand information of the terminal and transmits it to the terminal. This makes it possible to determine a data channel model corresponding to a terminal based on the demands of different types of terminals, thereby solving the problem in the prior art of lacking a method for generating data channel models for different terminal types and further limiting the data transmission efficiency of terminals.

[0043] Furthermore, the first node may be on the network side, and the network side can generate a data channel model that matches the data transmission demand information by analyzing and calculating the data transmission demand information, or the network side can search for a data channel model that matches the data transmission demand information from a local database by analyzing and calculating the data transmission demand information.

[0044] In a preferred embodiment, the data channel model may be understood as a set of information that generates the data channel. The information includes at least one of the following: parameters for generating the data channel, software for generating the data channel, hardware for generating the data channel, structural arrangement for generating the data channel, data configuration information included in the data channel, a method for transmitting the data included in the data channel, and a method for receiving the data included in the data channel.

[0045] The data channel model can be represented in any way, such as an index, version, or collection of information, and the embodiments of this disclosure are not limited thereto.

[0046] In one exemplary embodiment, the data transmission demand information includes at least one of data transmission modeling information and second node modeling information.

[0047] Furthermore, the aforementioned data transmission modeling information and / or second node modeling information are both collections of information, and a collection is an abstract concept. This disclosure does not limit its specific representation, and the collection may be a series of codes, a single file, or the like. In addition, after receiving the collection information, the first node can recover (or analyze) the specific data transmission requests and terminal parameter information by analyzing the collection information.

[0048] In one exemplary embodiment, the data transmission demand information includes at least one of first index information, first version information, and a set of information.

[0049] In one exemplary embodiment, after a first node receives data transmission demand information transmitted from a second node, the method further includes the step of the first node retrieving data transmission modeling information and / or second node modeling information corresponding to the first index information and / or first version information from locally stored information, if the data transmission demand information is first index information and / or first version information.

[0050] Preferably, in this embodiment, the first node retrieves quantitative criteria for specific data transmission requests corresponding to the index information from locally stored information using data transmission modeling index information. The first node retrieves second node parameter information corresponding to the index information from locally stored information using second node modeling index information.

[0051] In one exemplary embodiment, after a first node receives data transmission demand information transmitted from a second node, the method further includes the step, if the data transmission demand information is a set of information, the first node decodes the set of information to obtain specific information of the data transmission modeling information and / or specific information contained in the second node modeling information.

[0052] In one exemplary embodiment, the data transmission modeling information includes at least one of the following: a peak transmission rate request for the data transmission demand, a transmission delay request for the data transmission demand, a service type for the data transmission demand, a transmission time distribution for the data transmission demand, and a transmission rate distribution within the transmission time distribution for the data transmission demand.

[0053] In one exemplary embodiment, the second node modeling information includes at least one of the following: location distribution information of the second node, type information of the second node, basic information of the second node, and communication configuration information supported by the second node.

[0054] Preferably, in this embodiment, the basic information of the second node includes, but is not limited to, the hardware and software configuration information of the second node.

[0055] Preferably, in this embodiment, the network configuration information includes, but is not limited to, communication frequency domain resource information, frame structure information, transmit power information, supported wireless communication protocol information, supported channel coding information, supported signal source coding information, supported multiple input multiple output (MIMO) processing scheme, and supported receiver detection algorithm.

[0056] In one exemplary embodiment, the first node determines a data channel model to match the second node based on at least the data transmission demand information, and further includes the first node obtaining at least one of radio wave propagation feature information, radio channel feature information, environmental information, and network configuration information to determine a data channel model to match the second node.

[0057] To make the above embodiment easier to understand, Figure 3 shows a schematic diagram of a data channel model that matches a preferred second node according to the embodiment of this disclosure. In Figure 3, data channel modeling is performed based on radio wave propagation feature information, radio channel feature information, and environmental information, and the data channel model of the second node is determined.

[0058] In one exemplary embodiment, the radio wave propagation characteristic information includes at least one of the operating frequency band and propagation method.

[0059] In one exemplary embodiment, the wireless channel feature information includes at least one of the following: large-scale fading characteristics, small-scale fading characteristics, time-domain change rules for the wireless channel, frequency-domain change rules for the wireless channel, spatial-domain change rules for the wireless channel, and change rules for the wireless channel in a specific application scene.

[0060] In one exemplary embodiment, the environmental information includes at least one of the following: geographical location information of the wireless communication network, topographic information of the wireless communication network, weather condition information of the wireless communication network, and electromagnetic interference information of the wireless communication network.

[0061] Preferably, in this embodiment, the topographic information includes, but is not limited to, artificial structures, road distribution, pedestrian flow information, and traffic flow information.

[0062] Preferably, in this embodiment, the above-mentioned weather condition information includes, but is not limited to, weather, temperature, humidity, etc.

[0063] In one exemplary embodiment, the network configuration information includes at least one of network topology information, network node location information, basic network node information, and communication configuration information supported by the network.

[0064] Preferably, in this embodiment, the basic information of the network node includes, but is not limited to, the hardware and software configuration information of the network node.

[0065] Preferably, in the embodiments described herein, the communication configuration information supported by the network includes, but is not limited to, frame structure information, transmit power information, supported wireless communication protocol information, supported channel coding information, supported signal source coding information, supported MIMO processing scheme, and supported receiver detection algorithm.

[0066] Figure 4 is a flowchart of a preferred data channel model receiving method according to an embodiment of the present disclosure, and as shown in Figure 4, the steps of the data transmission method include the following steps S402 to S404.

[0067] In step S402, the second node transmits data transmission demand information to the first node. In step S404, the second node receives data channel model information transmitted from the first node, which is determined based on at least the data transmission demand information, and obtains at least one of N function modules and M function module configuration information from the data channel model information, where N and M are both integers of 1 or greater.

[0068] According to the above steps, the second node transmits data transmission demand information to the first node, the second node receives data channel model information determined based on the data transmission demand information transmitted from the first node, and obtains at least one of N functional modules and M functional module configuration information from the data channel model information, where N and M are both integers of 1 or more, the first node determines a data channel model that matches the data transmission demand information based on at least the data transmission demand information, and transmits the matching data channel model to the second node, in which case the first node may be the network side, and the second node may be a terminal, and the corresponding data channel model is determined based on the data transmission demand information of the terminal and transmitted to the terminal, so that a data channel model corresponding to a terminal can be determined based on the demand of different types of terminals, thereby solving the problem in the prior art of lacking a method for generating data channels for different terminal types and further limiting the data transmission efficiency of terminals.

[0069] In one exemplary embodiment, the data transmission demand information includes at least one of data transmission modeling information and second node modeling information.

[0070] In one exemplary embodiment, the data transmission demand information includes at least one of first index information, first version information, and a set of information.

[0071] In one exemplary embodiment, after the second node transmits data transmission demand information to the first node, the method further includes the step of the second node retrieving data transmission modeling information and / or second node modeling information corresponding to the first index information and / or first version information from locally stored information, if the data transmission demand information is first index information and / or first version information.

[0072] In one exemplary embodiment, after the second node transmits data transmission demand information to the first node, the method further includes the step, if the data transmission demand information is a set of information, the second node decodes the set of information to obtain specific information of the data transmission modeling information and / or specific information contained in the second node modeling information.

[0073] The above-mentioned set of information is a set of configuration information necessary for the data channel model or components of the data channel model that generate the data transmission demand information, and the set of information is an abstract concept and does not limit its specific representation method; it may be a series of codes or a single file, and this disclosure does not limit it.

[0074] In an exemplary embodiment, after obtaining at least one of N functional modules and configuration information for M functional modules from the data channel model information, the method further includes the steps of the second node using the N functional modules during data transmission, and / or the second node generating the M functional modules based on the configuration information for the M functional modules and using the M functional modules during data transmission.

[0075] Furthermore, this disclosure divides the entire data transmission process into multiple components, and functional modules realize the function of each component. These functional modules are combined to constitute a complete data transmission process. As shown in Figure 5, Figure 5 is a diagram showing the configuration of each functional module during data transmission according to an embodiment of this disclosure.

[0076] In one exemplary embodiment, during the data transmission, other functional modules required by the second node are determined by one of the following methods: a method instructed by the first node, a local default setting of the second node, and a method determined by the second node itself.

[0077] Example 1 Figure 6 is a schematic diagram of a preferred data channel model transmission method according to Example 1, in which the second node is required to perform uplink data transmission, specifically including the following steps 1 to 5.

[0078] In step 1, if the second node needs to perform uplink data transmission, it sends uplink data transmission demand information to the first node, which includes uplink data transmission modeling information and the second node modeling information. In this embodiment, the uplink data transmission demand information is first index information and first version information.

[0079] In step 2, after receiving uplink data transmission demand information transmitted from the second node, the first node first retrieves the corresponding uplink data transmission modeling information and the second node modeling information from the local AI server using the first index information.

[0080] In this embodiment, the entire process of uplink data transmission is divided into multiple components, including, for example, encoding and decoding of the signal source, modulation and demodulation, encoding and decoding of the channel, layer mapping, data transmission and reception, and MIMO processing. The AI ​​server constructs one or more models for any one or more of the above-mentioned components, searches for different combinations by index number, and further searches for models corresponding to combinations that satisfy different needs by different version information.

[0081] In this embodiment, the combination indicated by the first index information is encoding / decoding of the signal source, modulation / demodulation, encoding / decoding of the channel, layer mapping, data transmission and reception, and MIMO processing in uplink data transmission. Subsequently, a specific model is obtained using the first version information, and this model corresponds to information such as the peak transmission rate requirement for the determined data transmission demand, the transmission delay requirement for the data transmission demand, the service type for the data transmission demand, and the transmission time distribution for the data transmission demand.

[0082] In this embodiment, the AI ​​server also stores the modeling information of the second node and is divided into different types of terminals depending on the hardware and / or software it supports, and terminals that support the same hardware and / or software but have different versions are divided into different types of terminals. Based on the first index information, the hardware and software supported by the terminal are determined, and further, based on the first version information, the hardware version and software version supported by the terminal are determined.

[0083] The first node generates an uplink data channel model that matches the demand information based on the request information through AI-based analysis and calculation. The first node transmits the uplink data channel model to the second node. The uplink data channel model may be represented by second index information and / or second version information and / or a set of information. In this embodiment, the uplink data channel model is represented by second index information.

[0084] In step 3, as shown in Figure 6, the second node receives the uplink data channel model, obtains the second index information by decoding, searches for the corresponding uplink data channel model from the AI ​​server or other known nodes using the second index information, downloads it locally, and also obtains the "transmitter's data channel model".

[0085] Whether or not the "receiving data channel model" is transmitted to the second node by the uplink data channel model is determined by the first node. The transmitting side may be understood as the terminal side, and the receiving side may be understood as the network side; that is, the terminal side can know the terminal side's data channel model, and the network side decides whether or not to transmit the network side's data channel model to the terminal side.

[0086] In step 4, the second node sends the input information bits to be transmitted to the "transmitter's data channel model," and then transmits the generated data that has passed through the "transmitter's data channel model."

[0087] In step 5, the receiving side passes the received data through its "receiving side data channel model" and then receives the output information bits.

[0088] Example 2 Figure 7 is a schematic diagram of a preferred data channel model transmission method according to Example 2, in which the second node needs to receive downlink data, specifically including the following steps 1 to 5.

[0089] In step 1, if the second node needs to perform downlink data transmission, it sends downlink data transmission demand information to the first node, which includes downlink data transmission modeling information and the second node modeling information. In this embodiment, the downlink data transmission demand information is a collection of information.

[0090] In step 2, the first node receives downlink data transmission demand information transmitted from the second node, and then, based on the demand information, generates a downlink data channel model that matches the demand information through AI-based analysis and calculation. The first node transmits the downlink data channel model to the second node. In this embodiment, the downlink data channel model is represented by first index information.

[0091] In step 3, as shown in the following figure, the second node receives the downlink data channel model, obtains the first index information by decoding, searches for the corresponding downlink data channel model from the AI ​​server or other known node using the first index information, downloads it locally, and further obtains the "receiving data channel model". Whether or not the "sending data channel model" is transmitted to the second node by the downlink data channel model is determined by the first node.

[0092] In step 4, the base station sends the input information bits to be transmitted to the "transmitter's data channel model," and then transmits the generated data that has passed through the "transmitter's data channel model."

[0093] In step 5, the second node passes the received data through the "receiving data channel model" and also receives the output information bits.

[0094] Example 3 Figure 8 is a schematic diagram of a preferred data channel model transmission method according to Embodiment 3, in which the second node needs to perform uplink data transmission, specifically including the following steps 1 to 5.

[0095] In step 1, if the second node needs to perform uplink data transmission, it sends uplink data transmission demand information to the first node, and the uplink data transmission demand information includes uplink data transmission modeling information and the second node modeling information.

[0096] In step 2, the first node receives uplink data transmission demand information transmitted from the second node, and then generates an uplink data channel model that matches the demand information through analysis and calculation based on the demand information. The first node then transmits the uplink data channel model to the second node.

[0097] In step 3, as shown in the following figure, the second node receives the uplink data channel model and obtains the "transmitter data channel model" by decoding or analyzing the uplink data channel model. The "transmitter data channel model" mainly implements the encoding and modulation functions. Regarding "layer mapping" and "data transmission," the second node still determines the processing method to be used. Furthermore, the first node determines whether or not the "receiving data channel model" is transmitted to the second node by the uplink data channel model.

[0098] In step 4, the second node sends the input information bits to be transmitted to the "transmitter's data channel model," and then passes the generated data that has passed through the "transmitter's data channel model" to the "layer mapping" and "data transmission" modules, and transmits it further.

[0099] In step 5, the receiving end passes the received data through the "MIMO processing" module, then through the "receiving data channel model," and finally receives the output information bits.

[0100] Example 4 Figure 9 is a schematic diagram of a preferred data channel model transmission method according to Embodiment 4, in Figure 9, the second node needs to perform uplink data transmission, which specifically includes the following steps 1 to 5.

[0101] In step 1, if the second node needs to perform uplink data transmission, it sends uplink data transmission demand information to the first node, and the uplink data transmission demand information includes uplink data transmission modeling information and the second node modeling information.

[0102] In step 2, the first node receives uplink data transmission demand information transmitted from the second node, and then generates an uplink data channel model that matches the demand information through analysis and calculation based on the demand information. The first node then transmits the uplink data channel model to the second node.

[0103] In step 3, as shown in the following figure, the second node receives the uplink data channel model and obtains "module 1 in the transmitting data channel model" and "module 2 in the transmitting data channel model" by decoding or analyzing the uplink data channel model.

[0104] Module 1 in the transmitting data channel model primarily implements encoding functionality. Module 2 in the transmitting data channel model primarily implements MIMO functionality. Regarding data transmission, the second node still independently determines the processing method to be used. Furthermore, the first node determines whether Module 1 and Module 2 in the receiving data channel model are transmitted to the second node via the uplink data channel model.

[0105] In step 4, the second node sends the input information bits to be transmitted to "Module 1 in the transmitting data channel model," then passes the generated data that has passed through "Module 1 in the transmitting data channel model" to the "Modulation" module, then passes the generated data to "Module 2 in the transmitting data channel model," and finally transmits it via the "Data Transmission" module.

[0106] In step 5, the receiving side passes the received data through "Module 2 in the receiving side's data channel model" to implement MIMO processing, then passes it through the "Demodulation" module, then passes it through "Module 1 in the receiving side's data channel model," and finally receives the output information bits.

[0107] Figure 10 is a flowchart of a preferred information transmission method according to an embodiment of the present disclosure, and as shown in Figure 10, the steps of the data transmission method include the following step S1002.

[0108] In S1002, the second node receives a first type of control information transmitted from the first node, the first type of control information indicates a data channel generation method, the data channel generation method includes at least one of a first data channel generation method already stored and a second data channel generation method that determines a data channel by a data channel model, the data channel model is determined by the first node receiving data transmission demand information transmitted from the second node and determining a data channel model that matches the data transmission demand information based on at least the data transmission demand information.

[0109] According to the above steps, the second node receives a first type of control information transmitted from the first node, the first type of control information indicates a data channel generation method, the data channel generation method includes at least one of a first data channel generation method already stored and a second data channel generation method that determines a data channel by a data channel model, the data channel model is determined by the first node receiving data transmission demand information transmitted from the second node and determining a data channel model that matches the data transmission demand information based on at least the data transmission demand information, in the above steps, the first node may be the network side, and the second node may be a terminal, and the second data channel generation method determines a corresponding data channel model based on the data transmission demand information of the terminal and determines a data channel by the data channel model, thereby enabling the determination of a data channel generation method corresponding to a terminal based on the demand of different types of terminals, thereby solving the problem in the prior art of lacking a method for generating data channel models for different terminal types and further limiting the data transmission efficiency of terminals.

[0110] Preferably, in an exemplary embodiment, the data channel generation method may further include an existing data channel generation method, for example, a method for generating a Physical Downlink Shared Channel (PDSCH) scheduled by a Physical Downlink Control Channel (PDCCH) in a Long Term Evolution (LTE) / NR system.

[0111] Preferably, in an exemplary embodiment, when the second node does not detect the first type of control information, it is decided to use an existing or stored first data channel generation method.

[0112] In one exemplary embodiment, if the first type of control information indicates that the data channel generation method is the first data channel generation method, the second node detects the second type of control information, and after detecting the second type of control information, the second node completes data transmission on the first type of data channel according to the scheduling information of the first type of data channel included in the second type of control information.

[0113] The data transmission process includes two types: the first type is uplink data transmission by the terminal, and the second type is downlink data reception by the terminal. In the embodiments of this disclosure, these two types of data transmission processes are collectively referred to as data transmission.

[0114] To make the above embodiment easier to understand, Figure 11 is a schematic diagram of a preferred frame structure according to an embodiment of the present disclosure. In Figure 11, if the first type of control information indicates that the data channel generation method is the first data channel generation method, the second node further detects the second type of control information, which is carried by the PDCCH and can be detected by blind detection. After detecting the second type of control information, the second node completes the transmission or reception of data on the first type of data channel according to the scheduling information of the first type of data channel.

[0115] In one exemplary embodiment, if the first type of control information indicates that the data channel generation method is the second data channel generation method, data transmission on the second data channel is completed according to the data channel model.

[0116] Furthermore, the method for determining the data channel model can be any one of the methods in the above embodiment, and the method for generating data channels in the first type of control information may be at least one of the already stored first data channel generation method and the second data channel generation method which determines the data channel by the data channel model.

[0117] To make the above embodiment easier to understand, Figure 12 shows a schematic diagram (part 2) of a preferred frame structure according to an embodiment of the present disclosure. In Figure 12, when the first type of control information indicates that the data channel generation method is the second data channel generation method, data transmission on the second data channel is completed based on the data channel model.

[0118] From the above description of the embodiments, those skilled in the art will clearly understand that the methods according to the embodiments may be implemented by combining software and a necessary general-purpose hardware platform, or of course by hardware alone, but in many cases the former is a preferred embodiment. Based on this understanding, the substantial or prior art contributions of the proposed technologies of this disclosure are embodied in the form of a software product, which is stored on a storage medium (e.g., ROM / RAM, magnetic disk, optical disk) and includes several instructions that cause a second node device (which may be a mobile phone, computer, server, network device, etc.) to execute the methods of each embodiment of this disclosure.

[0119] Figure 13 is a block diagram of a transmission device of a preferred data channel model according to an embodiment of the present disclosure, and as shown in Figure 13, the data transmission device is A first receiving module 1302 is configured to receive data transmission demand information transmitted from a second node, A computing module 1304 is configured to determine a data channel model that matches the data transmission demand information, based at least on the data transmission demand information, The system includes a first transmitting module 1306 configured to transmit a data channel model matching the second node to the second node.

[0120] According to the above device, the first node receives data transmission demand information transmitted from the second node, the first node determines a data channel model that matches the data transmission demand information based on at least the data transmission demand information, and transmits the matching data channel model to the second node. In the above device, the first node may be on the network side, and the second node may be a terminal, and the device determines a corresponding data channel model based on the data transmission demand information of the terminal and transmits it to the terminal. This makes it possible to determine a data channel model corresponding to a terminal based on the demands of different types of terminals, thereby solving the problem in the prior art of lacking a method for generating data channel models for different terminal types and further limiting the data transmission efficiency of terminals.

[0121] In one exemplary embodiment, the data transmission demand information includes at least one of data transmission modeling information and second node modeling information.

[0122] In one exemplary embodiment, the data transmission demand information includes at least one of first index information, first version information, and a set of information.

[0123] In one exemplary embodiment, after receiving data transmission demand information transmitted from a second node, the method further includes the step of the first node retrieving data transmission modeling information and / or second node modeling information corresponding to the first index information and / or first version information from locally stored information, if the data transmission demand information is first index information and / or first version information.

[0124] In one exemplary embodiment, the first receiving module 1302 is further configured such that, after receiving data transmission demand information transmitted from the second node, if the data transmission demand information is a set of information, the first node decodes the set of information to obtain specific information of the data transmission modeling information and / or specific information contained in the second node modeling information.

[0125] In one exemplary embodiment, the data transmission modeling information includes at least one of the following: a peak transmission rate request for the data transmission demand, a transmission delay request for the data transmission demand, a service type for the data transmission demand, a transmission time distribution for the data transmission demand, and a transmission rate distribution within the transmission time distribution for the data transmission demand.

[0126] In one exemplary embodiment, the second node modeling information includes at least one of the following: location distribution information of the second node, type information of the second node, basic information of the second node, and communication configuration information supported by the second node.

[0127] In one exemplary embodiment, the computing module 1304 is further configured to acquire at least one of radio wave propagation feature information, radio channel feature information, environmental information, and network configuration information to determine a data channel model that matches the second node.

[0128] In one exemplary embodiment, the radio wave propagation characteristic information includes at least one of the operating frequency band and propagation method.

[0129] In one exemplary embodiment, the wireless channel feature information includes at least one of the following: large-scale fading characteristics, small-scale fading characteristics, time-domain change rules for the wireless channel, frequency-domain change rules for the wireless channel, spatial-domain change rules for the wireless channel, and change rules for the wireless channel in a specific application scene.

[0130] In one exemplary embodiment, the environmental information includes at least one of the following: geographical location information of the wireless communication network, topographic information of the wireless communication network, weather condition information of the wireless communication network, and electromagnetic interference information of the wireless communication network.

[0131] In one exemplary embodiment, the network configuration information includes at least one of network topology information, network node location information, basic network node information, and communication configuration information supported by the network.

[0132] Figure 14 is a block diagram of a receiving device of a preferred data channel model according to an embodiment of the present disclosure, and as shown in Figure 14, the data processing device is A second transmission module 1402 is configured to transmit data transmission demand information to the first node, The second receiving module 1404 receives data channel model information transmitted from the first node, which is determined based on at least the data transmission demand information, and obtains at least one of N function modules and M function module configuration information from the data channel model information, wherein N and M are both integers of 1 or more.

[0133] According to the above device, the second node transmits data transmission demand information to the first node, the second node receives data channel model information determined based on the data transmission demand information transmitted from the first node, and obtains at least one of N functional modules and M functional module configuration information from the data channel model information, the first node determines a data channel model that matches the data transmission demand information based on at least the data transmission demand information, and transmits the matching data channel model to the second node. In the above device, the first node may be the network side, and the second node may be a terminal, and a corresponding data channel model is determined based on the data transmission demand information of the terminal and transmitted to the terminal. Therefore, a data channel model corresponding to a terminal can be determined based on the demand of different types of terminals, thereby solving the problem in the prior art of lacking a method for generating data channel models for different terminal types and further limiting the data transmission efficiency of terminals.

[0134] In one exemplary embodiment, the data transmission demand information includes at least one of data transmission modeling information and second node modeling information.

[0135] In one exemplary embodiment, the data transmission demand information includes at least one of first index information, first version information, and a set of information.

[0136] In one exemplary embodiment, the second receiving module 1404 further retrieves data transmission modeling information and / or second node modeling information corresponding to the first index information and / or first version information from locally stored information if the data transmission demand information is first index information and / or first version information.

[0137] In one exemplary embodiment, the second receiving module 1404 is further configured such that, if the data transmission demand information is a collection of information, the second node decodes the collection of information to obtain specific information of the data transmission modeling information and / or specific information included in the second node modeling information.

[0138] In one exemplary embodiment, the second receiving module 1404 is further configured to obtain at least one of N functional modules and M functional module configuration information from the data channel model information, and then use the N functional modules during data transmission, and / or the second node generates the M functional modules based on the configuration information of the M functional modules, and then uses the M functional modules during data transmission.

[0139] In one exemplary embodiment, the second receiving module 1404 is further configured to determine other functional modules required by the second node during data transmission by one of the following methods: a method instructed by the first node, a local default setting of the second node, and a method determined by the second node itself.

[0140] Figure 15 is a block diagram of a preferred information transmission device according to an embodiment of the present disclosure, and as shown in Figure 15, the data transmission device is A third receiving module configured to receive a first type of control information transmitted from a first node, wherein the first type of control information indicates a data channel generation method. The method for generating the aforementioned data channel is: The already stored first data channel generation method, and The second data channel generation method includes at least one of the following: The data channel model includes a third receiving module 1502 which is determined by a first node receiving data transmission demand information transmitted from a second node and determining a data channel model that matches the data transmission demand information, at least based on the data transmission demand information.

[0141] According to the above device, the second node receives first type control information transmitted from the first node, the first type control information indicates a data channel generation method, the data channel generation method includes at least one of a first data channel generation method already stored and a second data channel generation method that determines a data channel by a data channel model, the data channel model is determined by the first node receiving data transmission demand information transmitted from the second node and determining a data channel model that matches the data transmission demand information based on at least the data transmission demand information, in the above device, the first node may be the network side, and the second node may be a terminal, and the second data channel generation method determines a corresponding data channel model based on the data transmission demand information of the terminal and determines a data channel by the data channel model, thereby enabling the determination of a data channel generation method corresponding to a terminal based on the demand of different types of terminals, thereby solving the problem in the prior art of lacking a method for generating data channel models for different terminal types and further limiting the data transmission efficiency of terminals.

[0142] In one exemplary embodiment, the third receiving module 1502 is further configured such that, if the first type of control information indicates that the data channel generation method is the first data channel generation method, the second node detects the second type of control information, and after detecting the second type of control information, the second node completes data transmission on the first type of data channel according to the scheduling information of the first type of data channel contained in the second type of control information.

[0143] In one exemplary embodiment, the third receiving module 1502 further indicates, by the first type of control information, that the data channel generation method is the second data channel generation method, and then completes data transmission on the second data channel according to the data channel model.

[0144] Embodiments of the present disclosure further provide a storage medium in which a computer program is stored, the computer program being configured to perform the steps in any of the embodiments of the above method when executed.

[0145] Preferably, in this embodiment, the storage medium is The first node receives data transmission demand information transmitted from the second node in step S1, The first node performs step S2 of determining a data channel model that matches the data transmission demand information, based at least on the data transmission demand information. The system may be configured to store a computer program that performs step S3, which sends a data channel model matching to the second node to the second node.

[0146] Preferably, in another embodiment, the storage medium is The first node receives data transmission demand information transmitted from the second node in step S1, The second node may be configured to store a computer program that performs the following steps: receiving data channel model information transmitted from the first node, which is determined based on at least the data transmission demand information; and obtaining at least one of N function modules and M function module configuration information from the data channel model information, wherein N and M are both integers of 1 or more.

[0147] Preferably, in yet another embodiment, the storage medium is The second node receives a first type of control information transmitted from the first node, wherein the first type of control information indicates a data channel generation method. The method for generating the aforementioned data channel is: The already stored first data channel generation method, and It includes at least one of the following: a second data channel generation method that determines the data channel by a data channel model, The data channel model may be configured to store a computer program that performs step S1, which is determined by a first node receiving data transmission demand information transmitted from a second node and determining a data channel model that matches the data transmission demand information based on at least the data transmission demand information. In embodiments of the present disclosure, an electronic device is provided that further includes a memory in which a computer program is stored, and a processor configured to execute the computer program and perform the steps in any of the embodiments of the above method.

[0148] Preferably, in this embodiment, the processor is controlled by a computer program, The first node receives data transmission demand information transmitted from the second node in step S1, The first node performs step S2 of determining a data channel model that matches the data transmission demand information, based at least on the data transmission demand information. The system may be configured to perform step S3, which involves sending a data channel model that matches the second node to the second node.

[0149] Preferably, in another embodiment, the processor is controlled by a computer program, The first node receives data transmission demand information transmitted from the second node in step S1, The second node may be configured to receive data channel model information transmitted from the first node, which is determined based on at least the data transmission demand information, and to perform step S2, which is the step of obtaining at least one of N function modules and M function module configuration information from the data channel model information, wherein N and M are both integers of 1 or more.

[0150] Preferably, in yet another embodiment, the processor is controlled by a computer program, The second node receives a first type of control information transmitted from the first node, wherein the first type of control information indicates a data channel generation method. The method for generating the aforementioned data channel is: The already stored first data channel generation method, and It includes at least one of the following: a second data channel generation method that determines the data channel by a data channel model, The data channel model may be configured to perform step S1, which is determined by the first node receiving data transmission demand information transmitted from the second node and determining a data channel model that matches the data transmission demand information based on at least the data transmission demand information.

[0151] In one exemplary embodiment, the electronic device may further include a transmission device and an input / output device, the transmission device being connected to the processor, and the input / output device being connected to the processor.

[0152] Specific examples in this embodiment can be found by referring to the examples described in the above embodiment and exemplary embodiment; therefore, this embodiment will not be described again here.

[0153] Clearly, those skilled in the art will understand that each module or step in the above-described disclosure may be implemented on a general-purpose computing device, they may be concentrated on a single computing device, or they may be distributed across a network of multiple computing devices, and they may be implemented as program code executable on a computing device, and that they may be stored in a memory device and executed on a computing device, and in some cases the illustrated or described steps may be executed in an order different from that specified herein, or they may be implemented by creating each of them on an integrated circuit module, or by creating multiple of them on a single integrated circuit. Thus, the disclosure is not limited to any particular combination of hardware and software.

[0154] The foregoing are merely examples of the present disclosure and do not limit the present disclosure, and those skilled in the art can make various modifications and changes to the present disclosure. Any modifications, equivalent substitutions, and improvements made within the principles of the present disclosure should be within the scope of protection of the present disclosure.

Claims

1. A first node transmits a first type of control information to a second node, wherein the first type of control information indicates a data channel generation method, and the data channel generation method includes at least one of a first data channel generation method already stored, and a second data channel generation method that determines a data channel by a data channel model. If the first type of control information indicates that the data channel generation method is the second data channel generation method, the first node takes the step of receiving data transmission demand information transmitted from the second node, The first node, based at least on the data transmission demand information, determines a data channel model that matches the data transmission demand information transmitted from the second node, A method for transmitting a data channel model, comprising the step of transmitting a data channel model that matches the data transmission demand information transmitted from the second node to the second node.

2. The method according to claim 1, wherein the data transmission demand information includes at least one of data transmission modeling information and second node modeling information.

3. The aforementioned data transmission demand information is First index information, First version information, and The method according to claim 1, comprising at least one of a set of information.

4. After the first node receives data transmission demand information transmitted from the second node, the method If the aforementioned data transmission demand information is the first index information and / or the first version information, The method according to claim 3, further comprising the step of the first node retrieving data transmission modeling information and / or second node modeling information corresponding to the first index information and / or first version information from locally stored information.

5. After the first node receives data transmission demand information transmitted from the second node, the method If the aforementioned data transmission demand information is a collection of information, The method according to claim 3, further comprising the step of the first node decoding the set of information to obtain specific information of the data transmission modeling information and / or specific information included in the second node modeling information.

6. The aforementioned data transmission modeling information is Peak transmission rate requirements for data transmission demand, The transmission delay request for the aforementioned data transmission demand, The service type of the aforementioned data transmission demand, The transmission time distribution of the aforementioned data transmission demand, and The method according to claim 2, comprising at least one of the transmission rate distributions within the transmission time distribution of the data transmission demand.

7. The aforementioned second node modeling information is, Location distribution information for the second node, Type information of the second node, Basic information for the second node, and The method according to claim 2, comprising at least one of the communication configuration information supported by the second node.

8. The first node, based at least on the data transmission demand information, determines a data channel model that matches the data transmission demand information transmitted from the second node, The aforementioned first node further, Radio wave propagation characteristics information, Wireless channel characteristic information, Environmental information, and The method according to claim 1, further comprising the step of obtaining at least one of network configuration information and determining a data channel model that matches the data transmission demand information transmitted from the second node.

9. The aforementioned radio wave propagation characteristic information is, The method according to claim 8, comprising at least one of the operating frequency band and propagation method.

10. The aforementioned wireless channel characteristic information is Large-scale fading characteristics, Small-scale fading characteristics, Time-domain change rules for wireless channels, Rules for frequency domain changes of radio channels, Rules for spatial domain changes of wireless channels, and The method according to claim 8, comprising at least one of the rules for changing wireless channels in a specific application scenario.

11. The aforementioned environmental information is, Geographic location information of wireless communication networks, Terrain information for wireless communication networks, Weather conditions information for wireless communication networks, and The method according to claim 8, comprising at least one of the following: electromagnetic interference information of a wireless communication network.

12. The aforementioned network configuration information is Network topology information, Network node location information, Basic information on network nodes, and The method according to claim 8, comprising at least one of the communication configuration information supported by the network.

13. A second node receives a first type of control information transmitted from a first node, wherein the first type of control information indicates a data channel generation method, and the data channel generation method includes at least one of a first data channel generation method already stored and a second data channel generation method that determines a data channel by a data channel model. If the first type of control information indicates that the data channel generation method is the second data channel generation method, the second node transmits data transmission demand information to the first node. A method for receiving a data channel model, comprising the steps of: the second node receiving a data channel model transmitted from the first node, which is determined based on at least the data transmission demand information; and determining at least one of N functional modules and M functional module configuration information based on the data channel model, wherein N and M are both integers of 1 or more.

14. The method according to claim 13, wherein the data transmission demand information includes at least one of data transmission modeling information and second node modeling information.

15. The aforementioned data transmission demand information is First index information, First version information, The method according to claim 14, comprising at least one of a set of information.

16. After the second node transmits data transmission demand information to the first node, the method If the aforementioned data transmission demand information is the first index information and / or the first version information, The method according to claim 15, further comprising the step of the second node retrieving data transmission modeling information and / or second node modeling information corresponding to the first index information and / or first version information from locally stored information.

17. After the second node transmits data transmission demand information to the first node, the method proceeds as follows: If the aforementioned data transmission demand information is a collection of information, The method according to claim 15, further comprising the step of the second node decoding the set of information to obtain specific information of the data transmission modeling information and / or specific information included in the second node modeling information.

18. After determining at least one of N functional modules and M functional module configuration information using the data channel model, the method proceeds as follows: The second node uses the N functional modules during data transmission. and / or The method according to claim 13, further comprising the steps of the second node generating the M functional modules based on the configuration information of the M functional modules, and using the M functional modules during data transmission.

19. During data transmission, other functional modules required by the second node are: The method instructed by the first node, The local default settings of the second node, and The method according to claim 13, wherein the method is determined by one of the methods that the second node determines itself.

20. If the first type of control information indicates that the data channel generation method is the first data channel generation method, the second node detects the second type of control information, The method according to claim 13, wherein the second node, after detecting the second type of control information, performs data transmission on the first type of data channel according to the scheduling information of the first type of data channel included in the second type of control information.

21. The method according to claim 13, wherein, if the control information of the first type indicates that the data channel generation method is the second data channel generation method, data transmission on the second type data channel is performed according to the data channel model.

22. A data channel model transmitter applied to the first node, A first transmission module configured to transmit a first type of control information to a second node, wherein the first type of control information indicates a data channel generation method, and the data channel generation method includes at least one of a first data channel generation method already stored, and a second data channel generation method that determines a data channel by a data channel model, If the first type of control information indicates that the data channel generation method is the second data channel generation method, a first receiving module is configured to receive data transmission demand information transmitted from the second node, Includes a computing module configured to determine a data channel model that matches the data transmission demand information transmitted from the second node, based at least on the data transmission demand information, A data channel model transmitter, wherein the first transmission module is further configured to transmit to the second node a data channel model that matches the data transmission demand information transmitted from the second node.

23. A receiving device for a data channel model applied to the second node, A third receiving module configured to receive first type control information transmitted from a first node, wherein the first type control information indicates a data channel generation method, and the data channel generation method includes at least one of a first data channel generation method already stored and a second data channel generation method that determines a data channel by a data channel model, If the first type of control information indicates that the data channel generation method is the second data channel generation method, a second transmission module is configured to transmit data transmission demand information to the first node, A data channel model receiving device, comprising: a second receiving module configured to receive the data channel model determined based on the data transmission demand information transmitted from the first node, and to determine at least one of N functional modules in data transmission and configuration information for M functional modules in data transmission based on the data channel model.

24. A computer-readable storage medium in which a computer program is stored, wherein the computer program is configured to, when executed by a processor, perform the method according to any one of claims 1 to 12 or the method according to any one of claims 13 to 21.

25. An electronic device comprising a memory storing a computer program and a processor configured to execute the computer program and perform the method according to any one of claims 1 to 12 or the method according to any one of claims 13 to 21.

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