Method and apparatus in node used for wireless communication

Abstract

The invention discloses a method and an apparatus in a node used for wireless communication. The first receiver is used for receiving a first signal sequence on the same cell, the first signal sequence comprises K signals, any signal in the first signal sequence comprises at least one of PDSCH (Physical Downlink Shared Channel) and DMRS (Demodulation Reference Signal), and K is a positive integer greater than 1; a first processor training a first operation, the training of the first operation depending on reception quality of the K signals; wherein the output of the first operation comprises channel information. According to the invention, the overall performance of the system is improved and the overhead is saved.

Description

Technical Field

[0001] The present application relates to a transmission method and apparatus in a wireless communication system, and in particular to a transmission method and apparatus related to PDSCH (Physical Downlink Shared Channel) or DMRS (Demodulation Reference Signal) in a wireless communication system. Background Art

[0002] In traditional wireless communications, UE (User Equipment) reports various auxiliary information obtained by measuring downlink signals and / or channels, such as channel information, auxiliary information related to beam management, auxiliary information related to beam failure and radio link failure, positioning information, etc. UE can report this information, and the network equipment selects appropriate transmission parameters for the UE based on the UE's report, such as the resident cell, MCS (Modulation and Coding Scheme), TPMI (Transmitted Precoding Matrix Indicator), TCI (Transmission Configuration Indication) and other parameters. In addition, UE reports can also be used to optimize network parameters, such as better cell coverage, switching base stations based on UE location, etc.

[0003] With the adoption of new technologies, the increase in the number of antennas, the diversification of application scenarios and the improvement of system performance requirements, traditional measurement and reporting methods will bring a lot of redundant overhead. Therefore, in NR (New Radio) Rel (release) 18, the research on AI (Artificial Intelligence) / ML (Machine Learning) technology was established to explore its impact on system performance and system design. Compared with traditional processing methods, AI / ML has the characteristics of being based on training and requiring deployment. According to the 3GPP (3rd Generation Partner Project) standard TS (Technical Specification) 38.300, AI / ML models and algorithms are beyond the scope of 3GPP. Summary of the invention

[0004] Through research, the inventors found that when AI / ML functions are introduced, the existing measurement mechanism, reporting mechanism and related configuration signaling may need to be enhanced to adapt to the needs of AI / ML.

[0005] In response to the above problems, the present application discloses a solution. It should be noted that in the description of the present application, a large number of embodiments are developed for AI / ML, but the present application is also applicable to other solutions, such as traditional channel information calculation or reporting solutions. Although the description of some AI / ML models and algorithms are involved in the specification of the present application, it is known to those of ordinary skill in the art that these descriptions are not necessary or irreplaceable for solutions related to wireless cellular communications. In addition, the use of a unified solution for different scenarios (including but not limited to AI / ML-based solutions and traditional measurement and reporting solutions) also helps to reduce hardware complexity and cost. In the absence of conflict, the embodiments and features in any node of the present application can be applied to any other node. In the absence of conflict, the embodiments of the present application and the features in the embodiments can be combined with each other arbitrarily.

[0006] As an embodiment, the interpretation of the terminology in the present application refers to the definition of the TS38 series of specification protocols of 3GPP.

[0007] As an embodiment, the interpretation of the terminology in the present application refers to the definition of the TS28 series of specification protocols of 3GPP.

[0008] The present application discloses a method in a first node used for wireless communication, characterized by comprising:

[0009] Receiving a first signal sequence on the same cell, the first signal sequence includes K signals, any signal in the first signal sequence includes at least one of a PDSCH and a DMRS, and K is a positive integer greater than 1;

[0010] training a first operation, wherein the training of the first operation depends on reception qualities of the K signals;

[0011] The output of the first operation includes channel information.

[0012] As an embodiment, the problems to be solved by the present application include: how to enhance the measurement mechanism to assist the training of the first operation; in the above method, the first node receives the first signal sequence including at least one of PDSCH and DMRS, and the training of the first operation depends on the reception quality of the signal in the first signal sequence, thereby solving the above problem.

[0013] As an embodiment, the benefits of the above method include: providing more diverse measurement resources, optimizing the training of the first operation, and thus improving the overall performance of the system.

[0014] As an embodiment, the benefits of the above method include: avoiding the first node from obtaining the first operation from the air interface, saving air interface overhead.

[0015] As an embodiment, the benefits of the above method include: the training of the first operation is better adapted to different terminals, and has better flexibility and forward compatibility.

[0016] As an embodiment, the advantages of the above method include: simple implementation and good backward compatibility.

[0017] According to one aspect of the present application, it is characterized in that the first node performs the training of the first operation only when a first condition is met.

[0018] As an embodiment, the benefits of the above method include: avoiding unnecessary training, saving overhead, and reducing power consumption.

[0019] According to one aspect of the present application, it is characterized in that the first condition includes that there is a signal among the K signals whose reception quality is higher than the reception quality of the first signal, and the first signal is a default signal among the K signals.

[0020] As an embodiment, the essence of the above method includes: the first signal is generated according to the previous report or the latest report of the first node, and the first condition reflects the quality of the previous report or the latest report of the first node.

[0021] As an embodiment, the benefits of the above method include: timely updating of the training of the first operation, thereby improving system performance.

[0022] According to one aspect of the present application, it is characterized in that the K signals are arranged in sequence; the first condition includes that the K signals include two signals that satisfy the second condition, and the second condition is that the reception quality of a signal arranged at the back is higher than the reception quality of a signal arranged at the front.

[0023] As an embodiment, the essence of the above method includes: the order of the K signals reflects the expectation of the sender of the first signal sequence on the performance of the K signals, and the first condition reflects the expected accuracy.

[0024] As an embodiment, the benefits of the above method include: timely updating the training of the first operation to optimize network performance.

[0025] According to one aspect of the present application, it is characterized by comprising:

[0026] Initially training the first operation;

[0027] The initial training of the first operation is earlier than the receiving of the first signal sequence.

[0028] As an embodiment, the benefits of the above method include: better adaptability to different terminals, better flexibility and forward compatibility.

[0029] According to one aspect of the present application, it is characterized in that any signal among the K signals includes multiple sub-signals, and any sub-signal included in any signal among the K signals includes at least one of PDSCH and DMRS.

[0030] As an embodiment, the benefits of the above method include: improving the accuracy of measurement, thereby optimizing the training of the first operation.

[0031] As an embodiment, the benefits of the above method include: improving the accuracy of estimating the transmission quality of the K signals.

[0032] According to one aspect of the present application, it is characterized in that a first DCI (Downlink Control Information) is received; wherein the first DCI schedules the first signal sequence.

[0033] As an embodiment, the benefits of the above method include: simplifying signaling design.

[0034] As an embodiment, the benefits of the above method include: ensuring that the first node and the sender of the first signal sequence have the same understanding of the K signals.

[0035] As an embodiment, the benefits of the above method include: good backward compatibility.

[0036] According to one aspect of the present application, a terminal is provided, characterized in that the terminal includes:

[0037] one or more processors and memory;

[0038] The memory is coupled to the one or more processors, and the memory is used to store computer program codes, where the computer program codes include computer instructions, and the one or more processors call the computer instructions to enable the terminal to execute the method in the first node.

[0039] The present application discloses a method used in a second node of wireless communication, characterized by comprising:

[0040] Sending a first signal sequence on the same cell, where the first signal sequence includes K signals, any signal in the first signal sequence includes at least one of a PDSCH and a DMRS, and K is a positive integer greater than 1;

[0041] The target receiver of the first signal sequence trains a first operation, the training of the first operation depends on the reception quality of the K signals; and the output of the first operation includes channel information.

[0042] According to one aspect of the present application, it is characterized in that the target receiver of the first signal sequence performs the training of the first operation only when a first condition is satisfied.

[0043] According to one aspect of the present application, it is characterized in that the first condition includes that there is a signal among the K signals whose reception quality is higher than the reception quality of the first signal, and the first signal is a default signal among the K signals.

[0044] According to one aspect of the present application, it is characterized in that the K signals are arranged in sequence; the first condition includes that the K signals include two signals that satisfy the second condition, and the second condition is that the reception quality of a signal arranged at the back is higher than the reception quality of a signal arranged at the front.

[0045] According to one aspect of the present application, it is characterized by comprising:

[0046] Initial training of the target recipient of the first signal sequence on the first operation;

[0047] The initial training of the first operation is performed before the target receiver of the first signal sequence receives the first signal sequence.

[0048] According to one aspect of the present application, it is characterized in that any signal among the K signals includes multiple sub-signals, and any sub-signal included in any signal among the K signals includes at least one of PDSCH and DMRS.

[0049] According to one aspect of the present application, it is characterized in that a first DCI is sent; wherein the first DCI schedules the first signal sequence.

[0050] According to one aspect of the present application, a base station is provided, characterized in that the base station includes:

[0051] one or more processors and memory;

[0052] The memory is coupled to the one or more processors, and is used to store computer program codes, where the computer program codes include computer instructions, and the one or more processors call the computer instructions to cause the base station to perform the method in the second node.

[0053] The present application discloses a first node used for wireless communication, characterized in that it includes:

[0054] A first receiver receives a first signal sequence on a same cell, where the first signal sequence includes K signals, any signal in the first signal sequence includes at least one of a PDSCH and a DMRS, and K is a positive integer greater than 1;

[0055] A first processor is configured to train a first operation, wherein the training of the first operation depends on reception qualities of the K signals;

[0056] The output of the first operation includes channel information.

[0057] The present application discloses a second node used for wireless communication, characterized in that it includes:

[0058] A second transmitter sends a first signal sequence on the same cell, where the first signal sequence includes K signals, any signal in the first signal sequence includes at least one of a PDSCH and a DMRS, and K is a positive integer greater than 1;

[0059] The target receiver of the first signal sequence trains a first operation, the training of the first operation depends on the reception quality of the K signals; and the output of the first operation includes channel information.

[0060] As an embodiment, compared with the traditional solution, this application has the following advantages:

[0061] Improved the overall performance of the system;

[0062] Saves expenses;

[0063] Better flexibility and forward compatibility;

[0064] Good backward compatibility;

[0065] Simplifies signaling design. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments with reference to the following drawings:

[0067] Figure 1A flowchart showing a first signal sequence and a first operation according to an embodiment of the present application is shown;

[0068] Figure 2 A schematic diagram of a network architecture according to an embodiment of the present application is shown;

[0069] Figure 3 A schematic diagram showing an embodiment of a wireless protocol architecture of a user plane and a control plane according to an embodiment of the present application;

[0070] Figure 4 A schematic diagram showing a first communication device and a second communication device according to an embodiment of the present application is shown;

[0071] Figure 5 A flow chart showing transmission according to an embodiment of the present application is shown;

[0072] Figure 6 A schematic diagram showing a first operation and a first CSI according to an embodiment of the present application is shown;

[0073] Figure 7 A schematic diagram showing a first CSI and a second CSI according to an embodiment of the present application is shown;

[0074] Figure 8 A schematic diagram showing a first signal sequence depending on a second CSI according to an embodiment of the present application is shown;

[0075] Fig. 9 A schematic diagram showing a first signal sequence depending on a second CSI according to an embodiment of the present application is shown;

[0076] Fig.10 A schematic diagram showing a first signal sequence depending on a second CSI according to an embodiment of the present application is shown;

[0077] Fig.11 A schematic diagram showing training of a first node performing a first operation only when a first condition is satisfied according to an embodiment of the present application;

[0078] Fig.12 A schematic diagram showing a first condition according to an embodiment of the present application;

[0079] Fig.13 A schematic diagram showing that a first condition is satisfied according to an embodiment of the present application;

[0080] Fig.14 A schematic diagram showing that a first condition is satisfied according to an embodiment of the present application;

[0081] Fig.15 A schematic diagram showing a first condition according to an embodiment of the present application;

[0082] Fig.16 A schematic diagram showing that a first condition is satisfied according to an embodiment of the present application;

[0083] Fig.17 A schematic diagram showing a first condition according to an embodiment of the present application;

[0084] Fig.18 A schematic diagram showing a first condition and a second condition according to an embodiment of the present application;

[0085] Fig.19 A schematic diagram showing the first condition and the third condition according to an embodiment of the present application;

[0086] Fig. 20 A schematic diagram showing K signals arranged in sequence according to an embodiment of the present application is shown;

[0087] Fig.21 A schematic diagram showing K signals arranged in sequence according to an embodiment of the present application is shown;

[0088] Fig. 22 A schematic diagram showing K signals arranged in sequence according to an embodiment of the present application is shown;

[0089] Fig.23 A schematic diagram showing that any one of K signals includes multiple sub-signals according to an embodiment of the present application;

[0090] Fig.24 A schematic diagram showing that any one of K signals includes multiple sub-signals according to an embodiment of the present application;

[0091] Fig.25 A schematic diagram showing a first DCI scheduling first signal sequence according to an embodiment of the present application is shown;

[0092] Fig.26 A schematic diagram showing K DCIs respectively scheduling K signals according to an embodiment of the present application is shown;

[0093] Fig. 27 A schematic diagram of a first operation of initial training according to an embodiment of the present application is shown;

[0094] Fig.28 A schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of the present application is shown;

[0095] Fig.29 A schematic diagram based on artificial intelligence or machine learning according to an embodiment of the present application is shown;

[0096] Fig.30 A schematic diagram showing the deployment of AI functions according to an embodiment of the present application is shown;

[0097] Fig.31 A schematic diagram showing the deployment of AI functions according to an embodiment of the present application is shown;

[0098] Fig.32 A schematic diagram showing the deployment of AI functions according to an embodiment of the present application is shown;

[0099] Fig.33 A schematic diagram showing the deployment of AI functions according to an embodiment of the present application is shown;

[0100] Fig.34 A structural block diagram of a processing device used in a first node according to an embodiment of the present application is shown;

[0101] Fig.35 A structural block diagram of a processing device used in a second node according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0102] The technical solution of the present application will be further described in detail below in conjunction with the accompanying drawings. It should be noted that the embodiments and features in the embodiments of the present application can be arbitrarily combined with each other without conflict. Based on considerations such as flexibility, complexity, overhead, and compatibility, those skilled in the art are motivated to flexibly combine the embodiments in different drawings without conflict, for example (but not limited to) the attached drawings. Figure 1 The embodiments and appendix Figure 5 -Attached Fig.33 The embodiments in Figure 5 The embodiments and appendix Figure 6 -Attached Fig.33 The embodiments in , etc.

[0103] Example 1

[0104] Embodiment 1 illustrates a flowchart of a first signal sequence and a first operation according to an embodiment of the present application, as shown in the attached figure. Figure 1 As shown in the attached Figure 1 In the illustrated 100, each box represents a step. In particular, the order of the steps in the boxes does not represent a specific time sequence between the steps.

[0105] In Example 1, the first node in the present application receives a first signal sequence on the same cell in step 101, where the first signal sequence includes K signals, any signal in the first signal sequence includes at least one of PDSCH and DMRS, and K is a positive integer greater than 1; in step 102, a first operation is trained, and the training of the first operation depends on the reception quality of the K signals; wherein the output of the first operation includes channel information.

[0106] As an embodiment, the same cell is a service cell of the first node.

[0107] As an embodiment, the same cell is a PCell (Primary serving Cell), a PSCell (Primary Secondary Cell Group Cell) or a SCell (Secondary Cell) of the first node.

[0108] As an embodiment, the first signal sequence includes a baseband signal.

[0109] As an embodiment, the first signal sequence includes a wireless signal.

[0110] As an embodiment, the first signal sequence includes a radio frequency signal.

[0111] As an embodiment, one or more signals in the first signal sequence include PDSCH (Physical Downlink Shared Channel).

[0112] As an embodiment, one or more signals in the first signal sequence include a DMRS (Demodulation Reference Signal).

[0113] As an embodiment, any signal in the first signal sequence includes PDSCH.

[0114] As an embodiment, any signal in the first signal sequence includes DMRS.

[0115] As an embodiment, any signal in the first signal sequence includes PDSCH and DMRS.

[0116] As an embodiment, the DMRS includes a DMRS port.

[0117] As an embodiment, the K signals are mutually orthogonal in pairs in the time domain.

[0118] As an embodiment, the K signals are mutually orthogonal in pairs in the frequency domain.

[0119] As an embodiment, two signals among the K signals overlap in the time-frequency domain.

[0120] As an embodiment, two signals among the K signals completely overlap in the time-frequency domain.

[0121] As an embodiment, any two signals among the K signals overlap in the time-frequency domain.

[0122] As an embodiment, any two signals among the K signals completely overlap in the time-frequency domain.

[0123] As an embodiment, at least two signals among the K signals occupy at least one same RE (Resource Element).

[0124] As an embodiment, the K signals include K layers of a PDSCH.

[0125] As an embodiment, the K signals are K layers of a PDSCH.

[0126] As an embodiment, the layer refers to a MIMO (Multiple Input Multiple Output) layer.

[0127] As an embodiment, the layer refers to a transmission layer.

[0128] As an embodiment, the K signals are respectively scheduled by K DCIs.

[0129] As an embodiment, the K signals are scheduled by the same DCI.

[0130] As an embodiment, the K signals respectively include K PDSCHs scheduled by the same DCI.

[0131] As an embodiment, the K signals respectively include K PDSCH transmission occasions scheduled by the same DCI.

[0132] As an embodiment, the K signals respectively include K PDSCH transmission opportunities configured with the same SPS (Semi-Persistent Scheduling).

[0133] As an embodiment, the K signals respectively include K layers of a PDSCH scheduled by a DCI.

[0134] As an embodiment, the K signals have the same HARQ process number (Hybrid automatic repeat request, HARQ, process number).

[0135] As an embodiment, the K signals have HARQ process numbers that increase sequentially.

[0136] As an embodiment, the K signals are arranged in sequence, and the HARQ process number of any signal among the K signals except the frontmost signal is the HARQ process number of the previous signal plus 1 modulo a first integer.

[0137] As an embodiment, the first integer is a positive integer multiple of 2.

[0138] As an embodiment, the first integer is equal to 8.

[0139] As an embodiment, the first integer is equal to 16.

[0140] As an embodiment, the first integer is equal to 32.

[0141] As an embodiment, the first integer is equal to 64.

[0142] As an embodiment, the first integer does not need to be configured.

[0143] As an embodiment, the first integer is configured by a higher layer parameter.

[0144] As an embodiment, the HARQ process numbers of the K signals are indicated separately.

[0145] As an embodiment, the K signals are arranged in sequence.

[0146] As an embodiment, the K signals are arranged sequentially in the first signal sequence.

[0147] As an embodiment, the first signal sequence consists of the K signals.

[0148] As an embodiment, each of the K signals depends on a precoding matrix.

[0149] As an embodiment, each of the K signals is precoded by a precoding matrix.

[0150] As an embodiment, there is a signal among the K signals that depends on a non-codebook based precoding matrix.

[0151] As an embodiment, the non-codebook based precoding matrix is ​​based on artificial intelligence or machine learning.

[0152] As an embodiment, the non-codebook based precoding matrix is ​​based on AI (Artificial Intelligence).

[0153] As an embodiment, the non-codebook based precoding matrix is ​​obtained in an AI-based manner.

[0154] As an embodiment, the non-codebook based precoding matrix is ​​different from the precoding matrix defined in 3GPP Rel-18 or earlier versions.

[0155] As an embodiment, the AI ​​includes ML (Machine Learning).

[0156] As an embodiment, the AI ​​includes AI and ML.

[0157] As an embodiment, the AI ​​includes AI or ML.

[0158] As an embodiment, there is a signal among the K signals that depends on a codebook-based precoding matrix.

[0159] As an embodiment, the codebook refers to a precoding codebook defined in 3GPP Rel-18 or earlier versions.

[0160] As an embodiment, the codebook refers to the codebook defined in section 5.2.2.2 of 3GPP TS38.214.

[0161] As an embodiment, the codebook refers to the codebook defined in section 5.2.2.2 of 38.214 of 3GPP Rel-18 or earlier versions.

[0162] As an embodiment, precoding matrices of any two signals among the K signals are different.

[0163] As an embodiment, the K signals are arranged in sequence, and the sender of the first signal sequence arranges the K signals in sequence according to expectations of transmission quality of the K signals.

[0164] As a sub-embodiment of the above embodiment, the sender of the first signal sequence arranges the K signals in sequence from high to low according to the expected transmission quality of the K signals.

[0165] As an embodiment, the first operation is based on training.

[0166] As an embodiment, the first operation is obtained through training.

[0167] As an embodiment, the training for obtaining the first operation is performed by the first node.

[0168] As an embodiment, the first operation includes inference.

[0169] As an embodiment, the first operation includes AI inference.

[0170] As an embodiment, the first operation includes AI inference for CSI (Channel State Information).

[0171] As an embodiment, the first operation includes AI inference for CSI prediction / estimation / compression.

[0172] As an embodiment, the first operation is performed by an AI entity deployed on the first node.

[0173] As an embodiment, the first operation is performed by an AI function deployed on the first node.

[0174] As an embodiment, the AI ​​function includes an AI inference function.

[0175] As an embodiment, the AI ​​function includes an AI training function.

[0176] As an embodiment, the AI ​​function includes an AI management function.

[0177] As an embodiment, the first operation requires deployment.

[0178] As an embodiment, the first operation is obtained by loading.

[0179] As an embodiment, the first operation is based on artificial intelligence or machine learning.

[0180] As an embodiment, the first operation is based on a neural network.

[0181] As an embodiment, the first operation includes neural network-based CSI compression, CSI prediction or beam management.

[0182] As an embodiment, the first operation includes CSI compression, CSI prediction or beam management based on CNN (Convolutional Neural Networks).

[0183] As an embodiment, the first operation includes an encoder for CSI compression based on a neural network or CNN.

[0184] As an embodiment, the first operation includes one or more of convolution, pooling, cascading and activation.

[0185] As an embodiment, the first operation includes a fully connected layer.

[0186] As an embodiment, the first operation includes a pooling layer.

[0187] As an embodiment, the first operation includes at least one convolutional layer.

[0188] As an embodiment, the first operation includes at least one encoding layer.

[0189] As an embodiment, a coding layer includes at least one convolutional layer and one pooling layer.

[0190] As an embodiment, in the convolution layer, at least one convolution kernel is used to convolve the input to generate a corresponding feature map, and at least one feature map output by the convolution layer is reshaped into a vector input to the fully connected layer; the fully connected layer converts the one vector into an output.

[0191] As an embodiment, part or all of the convolution kernel size, number of convolution layers, convolution step size, pooling kernel size, pooling kernel step size, pooling function, activation function and number of feature maps of the first operation are obtained through training.

[0192] As an embodiment, part or all of the convolution kernel, pooling kernel, pooling function, activation function, parameters of the pooling function and parameters of the activation function of the first operation are obtained through training.

[0193] As an embodiment, the first node is a producer of the first operation.

[0194] As an embodiment, the first node is a producer of training for the first operation.

[0195] As an embodiment, the first node is a retrained producer of the first operation.

[0196] As an embodiment, the first node is a MnS (Management Service) producer.

[0197] As an embodiment, the first node is a ML trained MnS producer.

[0198] As an embodiment, the training refers to retraining.

[0199] As an embodiment, the training of the first operation is performed by an AI function.

[0200] As an embodiment, the training of the first operation is performed by an AI function deployed on the first node.

[0201] As an embodiment, the training of the first operation is performed by an AI entity.

[0202] As an embodiment, the training of the first operation is performed by an AI entity deployed on the first node.

[0203] As an embodiment, the training of the first operation is performed by a MnS producer.

[0204] As an embodiment, the training of the first operation is performed by an MDA function.

[0205] As an embodiment, the training of the first operation is performed by an MDAS producer.

[0206] As an embodiment, the training of the first operation is performed by NWDAF.

[0207] As an embodiment, the training includes ML training.

[0208] As an embodiment, the training is ML training.

[0209] As an embodiment, the training of the first operation depends on reception qualities of the K signals.

[0210] As an embodiment, whether the training of the first operation is performed depends on the reception qualities of the K signals.

[0211] As an embodiment, the training of the first operation depends on the first condition.

[0212] As an embodiment, the training of the first operation depends on whether the first condition is satisfied.

[0213] As an embodiment, whether the training of the first operation is performed depends on whether the first condition is satisfied.

[0214] As an embodiment, whether the first condition is satisfied is used by the first node to determine whether to train the first operation.

[0215] As an embodiment, if the first condition is met, the first node trains the first operation.

[0216] As an embodiment, if the first condition is not met, the first node does not train the first operation.

[0217] As an embodiment, when the first condition is met, the training of the first operation is triggered.

[0218] As an embodiment, when the first condition is met, the first node trains the first operation.

[0219] As an embodiment, the first node trains the first operation only when the first condition is met.

[0220] As an embodiment, the first condition includes that there is a signal among the K signals whose reception quality is higher than the reception quality of the first signal, and the first signal is a default signal among the K signals.

[0221] As an embodiment, the first condition includes that the K signals include two signals that satisfy the second condition, and the second condition is that the reception quality of a signal arranged at the rear is higher than the reception quality of a signal arranged at the front; and the K signals are arranged in sequence.

[0222] As an embodiment, the first condition includes that the difference between the reception quality of a first given signal and the reception quality of a second given signal is greater than a first given threshold; the first given signal is a signal with the highest reception quality among the K signals, and the second given signal is a signal with the second highest reception quality among the K signals; and the first given threshold is configurable.

[0223] As an embodiment, an input of the training of the first operation depends on reception qualities of the K signals.

[0224] As an embodiment, the reception qualities of the K signals are used as inputs for the training of the first operation.

[0225] As an embodiment, the reception qualities of the K signals are used to determine inputs of the training of the first operation.

[0226] As an embodiment, the training input of the first operation includes the reception quality of at least one signal among the K signals.

[0227] As an embodiment, the input of the training of the first operation includes the reception qualities of the K signals.

[0228] As an embodiment, the reception qualities of the K signals are part of the training data of the training of the first operation.

[0229] As an embodiment, the reception quality includes reception power.

[0230] As an embodiment, the K signals respectively include DMRS, and the reception quality includes the reception power of the DMRS.

[0231] As an embodiment, the reception quality includes RSRP (Reference Signal Received Power).

[0232] As an embodiment, the reception quality includes layer 1 (L1)-RSRP.

[0233] As an embodiment, the reception quality includes SINR (Signal-to-noise and interference ratio).

[0234] As an embodiment, the reception quality includes L1-SINR.

[0235] As an embodiment, the reception quality includes BLER (BLock Error Rate, block error rate).

[0236] As an embodiment, the reception quality includes constellation point error.

[0237] As an embodiment, the constellation point error refers to the distance between the received symbol and the nearest constellation point in the constellation diagram.

[0238] As an embodiment, the constellation point error refers to an average distance between a received symbol and a nearest constellation point in a constellation diagram.

[0239] As an embodiment, the reception quality includes LLR (log-likelihood ratio).

[0240] As an embodiment, the K signals respectively include PDSCH, and the LLR is the LLR generated by channel decoding.

[0241] As an embodiment, the LLR is an average LLR.

[0242] As an embodiment, the reception quality includes reception power, RSRP or SINR, and one reception quality is higher than another reception quality or a threshold value, which means that the one reception quality is greater than the other reception quality or the threshold value.

[0243] As an embodiment, the reception quality includes BLER or constellation point error, and one reception quality is higher than another reception quality or a threshold value, which means that the one reception quality is lower than the other reception quality or the threshold value.

[0244] As an embodiment, the reception quality includes LLR, and one reception quality is higher than another reception quality or a threshold value, which means that the absolute value of the one reception quality is greater than the absolute value of the other reception quality or the threshold value.

[0245] As an embodiment, the reception quality includes reception power, RSRP or SINR, and one reception quality is lower than another reception quality or a threshold value, which means that the one reception quality is smaller than the other reception quality or the threshold value.

[0246] As an embodiment, the reception quality includes BLER or constellation point error, and one reception quality is lower than another reception quality or a threshold value, which means that the one reception quality is greater than the other reception quality or the threshold value.

[0247] As an embodiment, the reception quality includes LLR, and one reception quality is lower than another reception quality or a threshold value, which means that the absolute value of the one reception quality is smaller than the absolute value of the other reception quality or the threshold value.

[0248] As an embodiment, the channel information includes CSI.

[0249] As an embodiment, the benefits of the above method include improving the accuracy of CSI.

[0250] As an embodiment, the channel information includes a channel impulse response.

[0251] As an embodiment, the channel information includes one or more of PMI (Precoding Matrix Indicator), CRI (CSI-RS Resource Indicator), CQI (Channel Quality Indicator), RI (Rank Indicator), LI (layer indicator), SSBRI (SS / PBCH Block Resource indicator), RSRP (Reference Signal Received Power), SINR (Signal-to-Interference-plus-Noise Ratio), capability index (Capability Index) and TDCP (Time Domain Channel Properties).

[0252] As an embodiment, the channel information includes small-scale characteristics.

[0253] As an embodiment, the channel information includes channel parameters.

[0254] As an embodiment, the channel information includes a precoding matrix.

[0255] As an embodiment, the channel information includes a channel matrix.

[0256] As an embodiment, the channel matrix is ​​in spatial-frequency domain.

[0257] As an embodiment, the channel matrix is ​​in angular-delay domain projection.

[0258] As an embodiment, the channel information includes an eigenvector.

[0259] As an embodiment, the channel information includes an eigenvector and an eigenvalue.

[0260] As an embodiment, the channel information includes one or more columns of a base matrix.

[0261] As an embodiment, the base matrix includes a DFT matrix.

[0262] As an embodiment, the base matrix is ​​spanned into a space.

[0263] As an embodiment, the dimension of the space spanned by the columns of the basis matrix is ​​equal to the number of rows of the basis matrix.

[0264] As an embodiment, columns of the basis matrix are linearly independent in pairs.

[0265] As an embodiment, columns of the base matrix are mutually orthogonal in pairs.

[0266] As an embodiment, the base matrix is ​​full rank.

[0267] As an embodiment, the modulus values ​​of any two columns of the base matrix are equal.

[0268] As an embodiment, the channel information includes channels experienced by signals transmitted on one or more antenna ports.

[0269] As an embodiment, the channel information includes one or more of a relative phase, a relative amplitude, or a relative coefficient between at least two antenna ports.

[0270] As an embodiment, the channel information includes compressed CSI.

[0271] As an embodiment, the compressed CSI is non-codebook based.

[0272] As an embodiment, the compressed CSI does not belong to the CSI defined in 3GPP Rel-18, nor does it belong to the CSI defined in versions before 3GPP Rel-18.

[0273] As an embodiment, the channel parameters recovered by the target receiver of the compressed CSI based on the compressed CSI are unknown to the first node.

[0274] As an embodiment, the compressed CSI is CSI based on artificial intelligence or machine learning.

[0275] As an embodiment, the compressed CSI is a CSI based on a neural network.

[0276] As an embodiment, the compressed CSI is a CSI based on CNN (Conventional Neural Networks).

[0277] As an embodiment, the channel information includes predicted / estimated CSI.

[0278] As an embodiment, the channel information includes interference information and / or noise information.

[0279] As an embodiment, the interference information includes: one or more of interference power, interference variance or interference power spectrum density.

[0280] As an embodiment, the channel information includes BLER.

[0281] As an embodiment, the channel information is used to generate or recover channel parameters.

[0282] As an embodiment, the channel information includes information used to generate or restore channel parameters.

[0283] As an embodiment, the channel parameters include a channel matrix.

[0284] As an embodiment, the channel parameters include an original channel matrix.

[0285] As an embodiment, the channel parameters include channels experienced by signals transmitted on one or more antenna ports.

[0286] As an embodiment, the channel parameters include eigenvectors.

[0287] As an embodiment, the channel parameters include characteristic values.

[0288] As an embodiment, the channel parameters include a precoding matrix.

[0289] As an embodiment, the channel parameters include one or more columns of a base matrix.

[0290] As an embodiment, the channel parameters include one or more of a relative phase, a relative amplitude, or a relative coefficient between at least two antenna ports.

[0291] Example 2

[0292] Embodiment 2 illustrates a schematic diagram of a network architecture according to an embodiment of the present application, as shown in the attached Figure 2 shown.

[0293] Attached Figure 2The network architecture 200 is described. The network architecture 200 is a 5G NR (New Radio) / LTE (Long-Term Evolution) / LTE-A (Long-Term Evolution Advanced) system, or the network architecture 200 is a 5G+ network architecture, or the network architecture 200 is a 6G network architecture, or the network architecture 200 is a network architecture adopted by 3GPP in the future evolution; the network architecture 200 may be called 5GS (5G System) / EPS (Evolved Packet System), or the network architecture 200 may be called 6GS (6G System); the network architecture 200 includes at least one of UE (User Equipment) 201, RAN (Radio Access Network) 202, core network 210, HSS (Home Subscriber Server) / UDM (Unified Data Management) 220 and Internet service 230. The network architecture 200 may be interconnected with other access networks, but these entities / interfaces are not shown for simplicity. As shown, the network architecture 200 provides packet switching services, but it will be readily understood by those skilled in the art that the various concepts presented throughout this application can be extended to networks or other cellular networks that provide circuit switching services. The RAN includes a node 203. The RAN may also include other nodes 204. The node 203 provides user and control plane protocol terminations toward the UE 201. The node 203 may be connected to the other nodes 204 via an Xn interface (e.g., backhaul) / X2 interface. The node 203 may also be referred to as a base station, a base transceiver station, a radio base station, a radio transceiver, a transceiver function, a basic service set (BSS), an extended service set (ESS), a TRP (transmitting receiving node) or some other suitable terminology. The core network 210 is 5GC (5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is 6GC; the node 203 provides an access point to the core network 210 for the UE 201.Examples of UE201 include cellular phones, smart phones, session initiation protocol (SIP) phones, laptop computers, personal digital assistants (PDAs), satellite radios, non-terrestrial base station communications, satellite mobile communications, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, drones, aircraft, narrowband Internet of Things devices, machine type communication devices, land vehicles, cars, wearable devices, or any other similar functional devices. Those skilled in the art may also refer to UE201 as a mobile station, a subscriber station, a mobile unit, a subscriber unit, a wireless unit, a remote unit, a mobile device, a wireless device, a wireless communication device, a remote device, a mobile subscriber station, an access terminal, a mobile terminal, a wireless terminal, a remote terminal, a handset, a user agent, a mobile client, a client, or some other suitable term. Node 203 is connected to the core network 210 via an S1 / NG interface. The core network 210 includes MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MME / AMF / SMF214, S-GW (Service Gateway) / UPF (User Plane Function) 212 and P-GW (Packet Data Network Gateway) / UPF213. MME / AMF / SMF211 is a control node that handles signaling between UE201 and the core network 210. Generally, MME / AMF / SMF211 provides bearer and connection management. All user IP (Internet Protocol) packets are transmitted through S-GW / UPF212, and S-GW / UPF212 itself is connected to P-GW / UPF213. P-GW provides UE IP address allocation and other functions. P-GW / UPF213 is connected to Internet service 230. The Internet service 230 includes the operator's corresponding Internet protocol service, which may specifically include the Internet, intranet, IMS (IP Multimedia Subsystem) and packet switching services.

[0294] As an embodiment, the first node in the present application includes the UE201.

[0295] As an embodiment, the second node in the present application includes the node 203.

[0296] As an embodiment, the wireless link between the UE 201 and the node 203 includes a cellular network link.

[0297] As an embodiment, the sender of the first signal sequence includes the node 203.

[0298] As an embodiment, the receiver of the first signal sequence includes the UE201.

[0299] As an embodiment, the sender of the first DCI includes the node 203.

[0300] As an embodiment, the recipient of the first DCI includes the UE201.

[0301] Example 3

[0302] Embodiment 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture of a user plane and a control plane according to an embodiment of the present application, as shown in the attached figure. Figure 3 shown.

[0303] Embodiment 3 shows a schematic diagram of an embodiment of a wireless protocol architecture of a user plane and a control plane according to the present application, as shown in the attached Figure 3 shown. Figure 3 is a schematic diagram illustrating an embodiment of a radio protocol architecture for a user plane 350 and a control plane 300, Figure 3The radio protocol architecture of the control plane 300 between a first communication node device (UE, gNB or RSU in V2X) and a second communication node device (gNB, UE or RSU in V2X), or between two UEs is shown with three layers: Layer 1, Layer 2 and Layer 3. Layer 1 (L1 layer) is the lowest layer and implements various PHY (physical layer) signal processing functions. The L1 layer will be referred to as PHY301 in this article. Layer 2 (L2 layer) 305 is above PHY301 and is responsible for the link between the first communication node device and the second communication node device, or between two UEs. The L2 layer 305 includes a MAC (Medium Access Control) sublayer 302, an RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate at the second communication node device. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. The PDCP sublayer 304 also provides security by encrypting data packets, and provides support for inter-zone mobility of the first communication node device between the second communication node device. The RLC sublayer 303 provides segmentation and reassembly of upper layer data packets, retransmission of lost data packets, and reordering of data packets to compensate for out-of-order reception due to HARQ. The MAC sublayer 302 provides multiplexing between logical and transport channels. The MAC sublayer 302 is also responsible for allocating various radio resources (e.g., resource blocks) in a cell between the first communication node devices. The MAC sublayer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sublayer 306 in layer 3 (L3 layer) in the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and configuring the lower layer using RRC signaling between the second communication node device and the first communication node device. The radio protocol architecture of the user plane 350 includes layer 1 (L1 layer) and layer 2 (L2 layer). The radio protocol architecture used for the first communication node device and the second communication node device in the user plane 350 is substantially the same as the corresponding layers and sublayers in the control plane 300 for the physical layer 351, the PDCP sublayer 354 in the L2 layer 355, the RLC sublayer 353 in the L2 layer 355, and the MAC sublayer 352 in the L2 layer 355, but the PDCP sublayer 354 also provides header compression for upper layer data packets to reduce radio transmission overhead.The L2 layer 355 in the user plane 350 also includes a SDAP (Service Data Adaptation Protocol) sublayer 356, which is responsible for mapping between QoS flows and data radio bearers (DRBs) to support the diversity of services. Although not shown in the figure, the first communication node device may have several upper layers above the L2 layer 355, including a network layer (e.g., an IP layer) terminated at the P-GW on the network side and an application layer terminated at the other end of the connection (e.g., a remote UE, a server, etc.).

[0304] As an example, Figure 3 The wireless protocol architecture in is applicable to the first node in this application.

[0305] As an example, Figure 3 The wireless protocol architecture in is applicable to the second node in this application.

[0306] As an embodiment, the higher layer in the present application refers to a layer above the physical layer.

[0307] As an embodiment, the first signal sequence is generated by the PHY301 or the PHY351.

[0308] As an embodiment, the first DCI is generated by the PHY301 or the PHY351.

[0309] Example 4

[0310] Embodiment 4 illustrates a schematic diagram of a first communication device and a second communication device according to an embodiment of the present application, as shown in the attached figure. Figure 4 Attached Figure 4 is a block diagram of a first communication device 410 and a second communication device 450 communicating with each other in an access network.

[0311] The first communication device 410 includes a controller / processor 475 , a memory 476 , a receive processor 470 , a transmit processor 416 , a multi-antenna receive processor 472 , a multi-antenna transmit processor 471 , a transmitter / receiver 418 and an antenna 420 .

[0312] The second communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmit processor 468, a receive processor 456, a multi-antenna transmit processor 457, a multi-antenna receive processor 458, a transmitter / receiver 454 and an antenna 452.

[0313] In the transmission from the first communication device 410 to the second communication device 450, at the first communication device 410, the upper layer data packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements the functionality of the L2 layer. In DL (DownLink), the controller / processor 475 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocation to the second communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the second communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for the L1 layer (i.e., the physical layer). The transmit processor 416 implements coding and interleaving to facilitate forward error correction (FEC) at the second communication device 450, as well as constellation mapping based on various modulation schemes (e.g., binary phase shift keying (BPSK), quadrature phase shift keying (QPSK), M-phase shift keying (M-PSK), M-quadrature amplitude modulation (M-QAM). The multi-antenna transmit processor 471 performs digital spatial precoding on the coded and modulated symbols, including codebook-based precoding and non-codebook-based precoding, and beamforming processing to generate one or more parallel The transmit processor 416 then maps each parallel stream to a subcarrier, multiplexes the modulated symbols with a reference signal (e.g., a pilot) in the time domain and / or frequency domain, and then uses an inverse fast Fourier transform (IFFT) to generate a physical channel carrying a time domain multi-carrier symbol stream. The multi-antenna transmit processor 471 then performs a transmit analog precoding / beamforming operation on the time domain multi-carrier symbol stream. Each transmitter 418 converts the baseband multi-carrier symbol stream provided by the multi-antenna transmit processor 471 into a radio frequency stream, and then provides it to different antennas 420.

[0314] In the transmission from the first communication device 410 to the second communication device 450, at the second communication device 450, each receiver 454 receives a signal through its corresponding antenna 452. Each receiver 454 recovers the information modulated onto the RF carrier and converts the RF stream into a baseband multi-carrier symbol stream and provides it to the receiving processor 456. The receiving processor 456 and the multi-antenna receiving processor 458 implement various signal processing functions of the L1 layer. The multi-antenna receiving processor 458 performs a receiving analog precoding / beamforming operation on the baseband multi-carrier symbol stream from the receiver 454. The receiving processor 456 uses a fast Fourier transform (FFT) to convert the baseband multi-carrier symbol stream after the receiving analog precoding / beamforming operation from the time domain to the frequency domain. In the frequency domain, the physical layer data signal and the reference signal are demultiplexed by the receiving processor 456, wherein the reference signal will be used for channel estimation, and the data signal is recovered after multi-antenna detection in the multi-antenna receiving processor 458 to any parallel stream destined for the second communication device 450. The symbols on each parallel stream are demodulated and recovered in the receiving processor 456, and soft decisions are generated. The receiving processor 456 then decodes and deinterleaves the soft decisions to recover the upper layer data and control signals transmitted by the first communication device 410 on the physical channel. The upper layer data and control signals are then provided to the controller / processor 459. The controller / processor 459 implements the functions of the L2 layer. The controller / processor 459 may be associated with a memory 460 storing program codes and data. The memory 460 may be referred to as a computer-readable medium. In DL, the controller / processor 459 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transmission and logical channels to recover the upper layer data packets from the core network. The upper layer data packets are then provided to all protocol layers above the L2 layer. Various control signals may also be provided to L3 for L3 processing. The controller / processor 459 is also responsible for error detection using confirmation (ACK) and / or negative confirmation (NACK) protocols to support HARQ operations.

[0315] In the transmission from the second communication device 450 to the first communication device 410, at the second communication device 450, a data source 467 is used to provide upper layer data packets to the controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmission function at the first communication device 410 described in DL, the controller / processor 459 implements header compression, encryption, packet segmentation and reordering, and multiplexing between logical and transport channels based on the radio resource allocation of the first communication device 410, and implements L2 layer functions for the user plane and the control plane. The controller / processor 459 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the first communication device 410. The transmit processor 468 performs modulation mapping and channel coding processing, and the multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based precoding and non-codebook-based precoding, and beamforming processing. Then, the transmit processor 468 modulates the generated parallel stream into a multi-carrier / single-carrier symbol stream, which is then provided to different antennas 452 via the transmitter 454 after analog precoding / beamforming operations in the multi-antenna transmit processor 457. Each transmitter 454 first converts the baseband symbol stream provided by the multi-antenna transmit processor 457 into a radio frequency symbol stream, and then provides it to the antenna 452.

[0316] In the transmission from the second communication device 450 to the first communication device 410, the function at the first communication device 410 is similar to the reception function at the second communication device 450 described in the transmission from the first communication device 410 to the second communication device 450. Each receiver 418 receives a radio frequency signal through its corresponding antenna 420, converts the received radio frequency signal into a baseband signal, and provides the baseband signal to the multi-antenna reception processor 472 and the reception processor 470. The reception processor 470 and the multi-antenna reception processor 472 jointly implement the functions of the L1 layer. The controller / processor 475 implements the L2 layer functions. The controller / processor 475 can be associated with a memory 476 that stores program codes and data. The memory 476 can be referred to as a computer-readable medium. The controller / processor 475 provides demultiplexing between transmission and logical channels, packet reassembly, decryption, header decompression, control signal processing to recover the upper layer data packets from the second communication device 450. The upper layer data packets from the controller / processor 475 can be provided to the core network. The controller / processor 475 is also responsible for error detection using an ACK and / or NACK protocol to support HARQ operations.

[0317] As an embodiment, the second communication device 450 includes: at least one processor and at least one memory, the at least one memory includes computer program code; the at least one memory and the computer program code are configured to be used together with the at least one processor. The second communication device 450 device at least: receives a first signal sequence on the same cell, the first signal sequence includes K signals, any signal in the first signal sequence includes at least one of PDSCH and DMRS, and K is a positive integer greater than 1; trains a first operation, the training of the first operation depends on the reception quality of the K signals; wherein the output of the first operation includes channel information.

[0318] As an embodiment, the second communication device 450 includes: a memory storing a computer-readable instruction program, the computer-readable instruction program generates actions when executed by at least one processor, the actions including: receiving a first signal sequence on the same cell, the first signal sequence including K signals, any signal in the first signal sequence including at least one of PDSCH and DMRS, and K is a positive integer greater than 1; training a first operation, the training of the first operation depends on the reception quality of the K signals; wherein the output of the first operation includes channel information.

[0319] As an embodiment, the first communication device 410 includes: at least one processor and at least one memory, the at least one memory includes computer program code; the at least one memory and the computer program code are configured to be used together with the at least one processor. The first communication device 410 device at least: sends a first signal sequence on the same cell, the first signal sequence includes K signals, any signal in the first signal sequence includes at least one of PDSCH and DMRS, and K is a positive integer greater than 1; the target receiver of the first signal sequence trains a first operation, the training of the first operation depends on the reception quality of the K signals; wherein the output of the first operation includes channel information.

[0320] As an embodiment, the first communication device 410 includes: a memory storing a computer-readable instruction program, wherein the computer-readable instruction program generates actions when executed by at least one processor, and the actions include: sending a first signal sequence on the same cell, the first signal sequence including K signals, any signal in the first signal sequence including at least one of PDSCH and DMRS, and K is a positive integer greater than 1; training a target receiver of the first signal sequence with a first operation, the training of the first operation depending on the reception quality of the K signals; wherein the output of the first operation includes channel information.

[0321] As an embodiment, the first node in the present application includes the second communication device 450.

[0322] As an embodiment, the second node in the present application includes the first communication device 410.

[0323] As an embodiment, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first signal sequence in the present application; and at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to send the first signal sequence in the present application.

[0324] As an embodiment, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first DCI in the present application; and at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to send the first DCI in the present application.

[0325] Example 5

[0326] Embodiment 5 illustrates a flow chart of transmission according to an embodiment of the present application, as shown in the attached Figure 5 As shown in the attached Figure 5 In the figure, the first node U01 and the second node N02 are two communication nodes transmitted via an air interface, respectively, wherein the steps in the dotted boxes are respectively optional.

[0327] for First node U01 , initially training the first operation in step S5101; deploying the first operation in step S5102; receiving the first configuration information block in step S5103; performing the first operation in step S5104; sending the first CSI in step S5105; receiving the first DCI in step S5106; receiving the first signal sequence on the same cell in step S5107; training the first operation in step S5108; and redeploying the first operation in step S5109.

[0328] for Second node N02, train the second operation in step S5201; send the first configuration information block in step S5202; receive the first CSI in step S5203; perform the second operation in step S5204; send the first DCI in step S5205; send the first signal sequence on the same cell in step S5206; retrain the second operation in step S5207.

[0329] In Embodiment 5, the first signal sequence includes K signals, any signal in the first signal sequence includes at least one of PDSCH and DMRS, and K is a positive integer greater than 1; the training of the first operation depends on the reception quality of the K signals; wherein the output of the first operation includes channel information.

[0330] As an embodiment, the first node U01 is the first node in this application.

[0331] As an embodiment, the second node N02 is the second node in this application.

[0332] As an embodiment, the air interface between the second node N02 and the first node U01 includes a wireless interface between a base station device and a user equipment.

[0333] As an embodiment, the air interface between the second node N02 and the first node U01 includes a wireless interface between a relay node device and a user equipment.

[0334] As an embodiment, the air interface between the second node N02 and the first node U01 includes a wireless interface between user equipments.

[0335] As an embodiment, the second node N02 is a service cell maintaining base station of the first node U01.

[0336] As an example, Figure 5 The steps in the dashed box F54 in the above-mentioned method used in the first node for wireless communication include: receiving a first configuration information block.

[0337] As an embodiment, the receiving of the first configuration information block is earlier than the deployment of the first operation.

[0338] As an embodiment, the receiving of the first configuration information block is later than the deployment of the first operation.

[0339] As an embodiment, the receiving of the first configuration information block is earlier than the initial training of the first operation.

[0340] As an embodiment, the receiving of the first configuration information block is later than the initial training of the first operation.

[0341] As an embodiment, the first configuration information block indicates the first signal sequence.

[0342] As an embodiment, the first configuration information block is used by the first node to determine the first signal sequence.

[0343] As an embodiment, the first node determines the first signal sequence according to the first configuration information block.

[0344] As an embodiment, the first configuration information block indicates K.

[0345] As an embodiment, the first configuration information block indicates the type of the reception quality of the K signals.

[0346] As an embodiment, the type of the reception quality refers to which of the reception quality includes received power, RSRP, SINR, constellation point error or LLR.

[0347] As an embodiment, the first configuration information block indicates the first condition.

[0348] As an embodiment, the first configuration information block is carried by higher layer signaling.

[0349] As an embodiment, the first configuration information block is carried by RRC (Radio Resource Control) signaling.

[0350] As an embodiment, the first configuration information block is carried by RRC IE (Information Element).

[0351] As an embodiment, the first configuration information block is an RRC IE.

[0352] As an embodiment, the first configuration information block includes information in one or more fields in an RRC IE.

[0353] As an embodiment, the first configuration information block includes one or more RRC IEs.

[0354] As an embodiment, the first configuration information block includes information in one or more fields in each RRC IE in at least one RRC IE.

[0355] As an embodiment, the first configuration information block is carried by MAC CE.

[0356] As an embodiment, the first configuration information block is carried jointly by RRC signaling and MAC CE.

[0357] As an embodiment, the first configuration information block is transmitted on PDSCH.

[0358] As an example, Figure 5 The steps in the dashed box F54 in the above-mentioned method used in the second node for wireless communication include: sending a first configuration information block.

[0359] As an embodiment, the sending of the first configuration information block is earlier than the training of the second operation.

[0360] As an embodiment, the sending of the first configuration information block is later than the training of the second operation.

[0361] As an example, Figure 5 The steps in the dotted box F55 in the figure exist, and the method in the first node used for wireless communication includes: performing a first operation.

[0362] As an example, Figure 5 The steps in the dotted boxes F55 and F56 in the above-mentioned method used in the first node for wireless communication include: performing a first operation; sending a first CSI, wherein the first CSI depends on the output of the first operation; wherein the reception of the first signal sequence is later than the sending of the first CSI.

[0363] As an embodiment, the first operation is based on training.

[0364] As an embodiment, the first operation includes inference.

[0365] As an embodiment, the first operation requires deployment.

[0366] As an embodiment, the first operation is based on artificial intelligence or machine learning.

[0367] As an embodiment, the first operation is associated with a first identifier, and the CSI reporting configuration of the first CSI indicates the first identifier.

[0368] As an embodiment, the first operation is associated with a first identifier, and the first configuration information block indicates the first identifier.

[0369] As an embodiment, the first CSI includes CRI or SSBRI.

[0370] As an embodiment, the first CSI includes RSRP or SINR.

[0371] As an embodiment, the first CSI includes compressed CSI.

[0372] As an embodiment, the first CSI includes precoding matrix information.

[0373] As an embodiment, the first CSI is used to determine one or more precoding matrices.

[0374] As an embodiment, the first CSI is transmitted on PUCCH (Physical Uplink Control Channel) or PUSCH (Physical Uplink Shared Channel).

[0375] As an example, Figure 5 The steps in the dashed box F56 in the above-mentioned method used in the second node for wireless communication include: receiving the first CSI.

[0376] As an example, Figure 5 The steps in the dotted boxes F56 and F57 in the above-mentioned method used in the second node of wireless communication include: receiving a first CSI; performing a second operation, and the first CSI is used as an input of the second operation to generate a second CSI.

[0377] As an embodiment, the sending of the first signal sequence is later than the receiving of the first CSI

[0378] As an embodiment, the sending of the first signal sequence is later than the execution of the second operation.

[0379] As an embodiment, the second operation is a reverse operation of the first operation.

[0380] As an embodiment, the second operation is based on training.

[0381] As an embodiment, the second operation includes inference.

[0382] As an embodiment, the second operation is based on artificial intelligence or machine learning.

[0383] As an embodiment, the second CSI includes recovery of at least part of the input of the first operation.

[0384] As an embodiment, the second CSI includes a precoding matrix.

[0385] As an example, Figure 5 The steps in the dotted box F53 exist, and the method used in the first node for wireless communication includes: deploying the first operation.

[0386] As an embodiment, the deployment of the first operation is earlier than the execution of the first operation.

[0387] As an embodiment, the deploying includes obtaining the first operation.

[0388] As an embodiment, the deploying includes obtaining an AI entity.

[0389] As an embodiment, the deploying includes obtaining an AI entity that performs the first operation.

[0390] As an embodiment, the deploying includes obtaining an AI entity including an AI function for performing the first operation.

[0391] As an embodiment, the deploying includes loading the first operation.

[0392] As an embodiment, the deploying includes making a request to load the first operation.

[0393] As an embodiment, the first operation is trained by the first node.

[0394] As an embodiment, the first operation is obtained by the first node through training.

[0395] As an embodiment, the first operation is obtained by loading from the first node.

[0396] As an embodiment, the deployment is performed by an AI function.

[0397] As an embodiment, the deployment is completed by an AI function deployed on the first node.

[0398] As an embodiment, the deployment is performed by an AI deployment function.

[0399] As an embodiment, the deployment is completed by an AI deployment function deployed on the first node.

[0400] As an embodiment, the deployment is performed by AI inference function.

[0401] As an embodiment, the deployment is accomplished by an AI inference function deployed on the first node.

[0402] As an embodiment, the deployment is performed by an AI entity.

[0403] As an embodiment, the deployment is completed by an AI entity deployed on the first node.

[0404] As an embodiment, the deployment is completed by an AI entity having a deployment function.

[0405] As an embodiment, the deployment is completed by an AI entity with deployment function deployed on the first node.

[0406] As an embodiment, the deployment is performed by an AI entity having an inference function.

[0407] As an embodiment, the deployment is completed by an AI entity with inference function deployed on the first node.

[0408] As an example, Figure 5 The steps in the dotted box F51 in the above-mentioned method used in the first node of wireless communication include: initially training the first operation; wherein the initial training of the first operation is earlier than the receiving of the first signal sequence.

[0409] As an embodiment, the initial training of the first operation is earlier than the receiving of the first configuration information block.

[0410] As an embodiment, the initial training of the first operation is later than the receiving of the first configuration information block.

[0411] As an embodiment, the initial training of the first operation is earlier than the deployment of the first operation.

[0412] As an embodiment, the initial training of the first operation is earlier than the sending of the first CSI.

[0413] As an embodiment, the initial training of the first operation is performed by an AI function.

[0414] As an embodiment, the initial training of the first operation is performed by an AI function deployed on the first node.

[0415] As an embodiment, the initial training of the first operation is performed by an AI entity.

[0416] As an embodiment, the initial training of the first operation is performed by an AI entity deployed on the first node.

[0417] As an embodiment, the initial training of the first operation is performed by an MDA function (Management Data Analytics Function).

[0418] As an embodiment, the initial training of the first operation is performed by a MDAS (Management Data Analytics Service) producer.

[0419] As an embodiment, the initial training of the first operation is performed by a MnS (Management Service) producer.

[0420] As an embodiment, the initial training of the first operation is performed by NWDAF (Network Data Analytics Function).

[0421] As an embodiment, the initial training includes ML training.

[0422] As an embodiment, the initial training is ML training.

[0423] As an embodiment, the initial training and the training of the first operation are performed by the same AI function.

[0424] As an embodiment, the initial training and the training of the first operation are performed by the same AI entity.

[0425] As an example, Figure 5 The steps in the dotted box F52 in the above-mentioned method used in the second node of wireless communication include: training the second operation; wherein the training of the second operation is earlier than the sending of the first signal sequence.

[0426] As an embodiment, the training of the second operation is earlier than the receiving of the first CSI.

[0427] As an embodiment, the training of the second operation is performed by an AI function.

[0428] As an embodiment, the training of the second operation is performed by an AI function deployed on the second node.

[0429] As an embodiment, the training of the second operation is performed by an AI entity.

[0430] As an embodiment, the training of the second operation is performed by an AI entity deployed on the second node.

[0431] As an embodiment, the training of the second operation is performed by a MnS producer.

[0432] As an embodiment, the training of the second operation is performed by an MDA function.

[0433] As an embodiment, the training of the second operation is performed by an MDAS producer.

[0434] As an embodiment, the training of the second operation is performed by NWDAF.

[0435] As an embodiment, the training of the second operation and the initial training of the first operation are performed by different AI functions.

[0436] As an embodiment, the training of the second operation and the initial training of the first operation are performed by different AI entities.

[0437] As an embodiment, the training of the second operation and the initial training of the first operation are performed by different AI functions or different AI entities.

[0438] As an embodiment, the training of the second operation and the initial training of the first operation are performed separately.

[0439] As an embodiment, the training of the second operation and the initial training of the first operation are performed jointly.

[0440] As an embodiment, the training of the second operation depends on the result of the initial training of the first operation.

[0441] As an example, Figure 5 The steps in the dashed box F59 exist, and the method used in the second node for wireless communication includes: retraining the second operation.

[0442] As an embodiment, the retraining of the second operation depends on whether the first condition is satisfied.

[0443] As an embodiment, whether the first condition is satisfied is used by the second node to determine whether to retrain the second operation.

[0444] As an embodiment, when the first condition is met, the second node retrains the second operation.

[0445] As an embodiment, the second node retrains the second operation only when the first condition is met.

[0446] As an embodiment, the retraining of the second operation is performed by an AI function.

[0447] As an embodiment, the retraining of the second operation is performed by an AI function deployed on the second node.

[0448] As an embodiment, the retraining of the second operation is performed by an AI entity.

[0449] As an embodiment, the retraining of the second operation is performed by an AI entity deployed on the second node.

[0450] As an embodiment, the retraining of the second operation is performed by a MnS producer.

[0451] As an embodiment, the retraining of the second operation is performed by an MDA function.

[0452] As an embodiment, the retraining of the second operation is performed by an MDAS producer.

[0453] As an embodiment, the retraining of the second operation is performed by NWDAF.

[0454] As an embodiment, the training and the retraining of the second operation are performed by the same AI function.

[0455] As an embodiment, the training and the retraining of the second operation are performed by the same AI entity.

[0456] As an embodiment, when the first condition is met, the first node performs the training of the first operation.

[0457] As an embodiment, the first node performs the training of the first operation only when the first condition is met.

[0458] As an embodiment, the training refers to retraining.

[0459] As an example, Figure 5 The steps in the dotted box F510 exist, and the method in the first node used for wireless communication includes: redeploying the first operation.

[0460] As an embodiment, redeploying the first operation refers to deploying the first operation after retraining.

[0461] As an embodiment, the redeployment of the first operation depends on whether the first condition is satisfied.

[0462] As an embodiment, whether the first condition is satisfied is used by the first node to determine whether to redeploy the first operation.

[0463] As an embodiment, when the first condition is met, the first node redeploys the first operation.

[0464] As an embodiment, the first node redeploys the first operation only when the first condition is met.

[0465] As an embodiment, the redeployment includes obtaining the first operation.

[0466] As an embodiment, the redeployment includes obtaining the first operation after retraining.

[0467] As an embodiment, the redeployment includes reloading the first operation.

[0468] As an embodiment, the redeployment includes reloading the first operation after retraining.

[0469] As an embodiment, the redeployment includes making a request to reload the first operation.

[0470] As an embodiment, the redeployment includes receiving an instruction to redeploy the first operation.

[0471] As an embodiment, the redeployment is performed by an AI function.

[0472] As an embodiment, the redeployment is performed by an AI function deployed on the first node.

[0473] As an embodiment, the redeployment is performed by an AI deployment function.

[0474] As an embodiment, the redeployment is performed by an AI deployment function deployed on the first node.

[0475] As an embodiment, the redeployment is performed by an AI entity.

[0476] As an embodiment, the redeployment is performed by AI inference function.

[0477] As an example, Figure 5 The steps in the dotted box F58 exist, and the method in the first node used for wireless communication includes: receiving a first DCI; wherein the first DCI schedules the first signal sequence.

[0478] As an embodiment, the first condition includes that there is a signal among the K signals whose reception quality is higher than the reception quality of the first signal, and the first signal is a default signal among the K signals.

[0479] As an embodiment, the K signals are arranged in sequence; the first condition includes that the K signals include two signals that satisfy the second condition, and the second condition is that the reception quality of a signal arranged at the rear is higher than the reception quality of a signal arranged at the front.

[0480] As an embodiment, any signal among the K signals includes multiple sub-signals, and any sub-signal included in any signal among the K signals includes at least one of PDSCH and DMRS.

[0481] Example 6

[0482] Embodiment 6 illustrates a schematic diagram of a first operation and a first CSI according to an embodiment of the present application; Figure 6 shown.

[0483] In embodiment 6, the first CSI depends on the output of the first operation.

[0484] As an embodiment, the first operation is associated with a first identifier.

[0485] As an embodiment, the first identifier is a non-negative integer.

[0486] As an embodiment, the first identifier is a character string.

[0487] As an embodiment, the first operation is identified by the first identifier.

[0488] As an embodiment, the AI ​​entity or AI function to which the first operation belongs is identified by the first identifier.

[0489] As an embodiment, the AI ​​function or AI entity that performs the first operation is identified by the first identifier.

[0490] As an embodiment, the training for obtaining the first operation is identified by the first identifier.

[0491] As an embodiment, the training data set used for the first operation is identified by the first identifier.

[0492] As an embodiment, the first configuration information block indicates the first identifier.

[0493] As an embodiment, the CSI reporting configuration of the first CSI indicates the first identifier.

[0494] As an embodiment, the input of the first operation includes channel measurement.

[0495] As an embodiment, the input of the first operation includes channel measurements obtained based on CSI-RS (Channel State Information Reference Signal) resources or SS / PBCH (Synchronisation Signal / Physical Broadcast Channel) block resources.

[0496] As an embodiment, the input to the first operation includes interference measurements.

[0497] As an embodiment, the input of the first operation includes interference measurement obtained based on CSI-RS resources or CSI-IM (Channel State Information-Interference Measurement) resources.

[0498] As an embodiment, the input of the first operation includes a channel matrix.

[0499] As an embodiment, the input of the first operation includes an eigenvector.

[0500] As an embodiment, the input of the first operation includes a eigenvector and an eigenvalue.

[0501] As an embodiment, the output of the first operation is non-codebook based.

[0502] As an embodiment, the output of the first operation does not belong to the CSI defined in 3GPP Rel-18, nor does it belong to the CSI defined in versions before 3GPP Rel-18.

[0503] As an embodiment, the output of the first operation includes CSI (Channel State Information).

[0504] As an embodiment, the output of the first operation includes one or more of PMI (Precoding Matrix Indicator), CRI (CSI-RS Resource Indicator), CQI (Channel Quality Indicator), RI (Rank Indicator), LI (layer indicator), SSBRI (SS / PBCH Block Resource indicator), RSRP (Reference Signal Received Power), SINR (Signal-to-Interference-plus-Noise Ratio), capability index (Capability Index) and TDCP (Time Domain Channel Properties).

[0505] As an embodiment, the output of the first operation includes channel small-scale characteristics.

[0506] As an embodiment, the output of the first operation includes channel parameters.

[0507] As an embodiment, the output of the first operation includes a precoding matrix or a precoding vector.

[0508] As an embodiment, the output of the first operation includes a channel matrix.

[0509] As an embodiment, the output of the first operation includes channels experienced by signals transmitted on one or more antenna ports.

[0510] As an embodiment, the output of the first operation includes one or more of a relative phase, a relative amplitude and a relative coefficient between at least two antenna ports.

[0511] As an embodiment, the output of the first operation includes the first CSI.

[0512] As an embodiment, the first CSI includes part or all of the output of the first operation.

[0513] As an embodiment, the output of the first operation is post-processed to generate the first CSI.

[0514] As an embodiment, the first CSI includes the output of the first operation after post-processing.

[0515] As an embodiment, the first CSI includes part or all of the output of the first operation after post-processing.

[0516] As an embodiment, the post-processing includes quantization.

[0517] As an embodiment, the post-processing includes truncation.

[0518] As an embodiment, the post-processing includes DFT (Discrete Fourier Transform).

[0519] As an embodiment, the post-processing includes one or more of a transformation from the angle domain to the spatial domain, a transformation from the spatial domain to the angle domain, a transformation from the time domain to the frequency domain, and a transformation from the frequency domain to the time domain.

[0520] As an embodiment, the first CSI includes one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index and TDCP.

[0521] As an embodiment, the first CSI includes a channel matrix.

[0522] As an embodiment, the first CSI includes a feature vector.

[0523] As an embodiment, the first CSI includes an eigenvector and an eigenvalue.

[0524] As an embodiment, the first CSI includes precoding information.

[0525] As an embodiment, the first CSI is used to determine at least one precoding matrix.

[0526] As an embodiment, the first CSI indicates at least one precoding matrix.

[0527] As an embodiment, the first CSI includes compressed CSI.

[0528] As an embodiment, the compressed CSI is non-codebook based.

[0529] As an embodiment, the compressed CSI does not belong to the CSI defined in 3GPP Rel-18, nor does it belong to the CSI defined in versions before 3GPP Rel-18.

[0530] As an embodiment, the channel parameters recovered by the sender of the first signal sequence based on the compressed CSI are unknown to the first node.

[0531] As an embodiment, the compressed CSI is CSI based on artificial intelligence or machine learning.

[0532] As an embodiment, the compressed CSI is a CSI based on a neural network or CNN.

[0533] As an embodiment, the first CSI includes predicted / estimated CSI.

[0534] As an embodiment, the first CSI is transmitted on PUCCH or PUSCH.

[0535] As an embodiment, the K signals depend on the first CSI.

[0536] As an embodiment, the first CSI is used by a sender of the first signal sequence to determine at least one precoding matrix, and one or more of the K signals depend on the at least one precoding matrix.

[0537] As an embodiment, a precoding matrix of one signal among the K signals does not belong to the at least one precoding matrix.

[0538] Example 7

[0539] Embodiment 7 illustrates a schematic diagram of a first CSI and a second CSI according to an embodiment of the present application; Figure 7 shown.

[0540] In Embodiment 7, the output of the first operation includes first CSI, and the first CSI is used as input of the second operation to generate second CSI.

[0541] As an embodiment, the first CSI includes compressed CSI.

[0542] As an embodiment, the second CSI includes recovery of at least part of the input of the first operation.

[0543] As an embodiment, the second CSI includes one or more of PMI, CQI and RI.

[0544] As an embodiment, the second CSI includes one or more of CRI, SSBRI, RSRP and SINR.

[0545] As an embodiment, the second CSI includes one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index and TDCP.

[0546] As an embodiment, the second CSI includes a channel matrix.

[0547] As an embodiment, the second CSI includes a feature vector.

[0548] As an embodiment, the second CSI includes a precoding matrix.

[0549] As an embodiment, the sender of the first signal sequence performs the second operation.

[0550] As an embodiment, the second operation is a reverse operation of the first operation.

[0551] As an embodiment, the first CSI is used by a sender of the first signal sequence as an input of the second operation to generate the second CSI.

[0552] As an embodiment, the second operation is based on training.

[0553] As an embodiment, the training for obtaining the second operation is performed by a sender of the first signal sequence.

[0554] As an embodiment, the training for obtaining the second operation is performed by a core network.

[0555] As an embodiment, the first operation and the second operation are obtained through different trainings.

[0556] As an embodiment, the first operation and the second operation are obtained through independent training.

[0557] As an embodiment, the benefits of the above method include: saving air interface overhead, having better flexibility, being adaptable to different terminals, and having better forward compatibility.

[0558] As an embodiment, the first operation and the second operation are obtained through joint training.

[0559] As an embodiment, the benefits of the above method include: optimizing performance.

[0560] As an embodiment, the training of the second operation depends on the first operation.

[0561] As an embodiment, the second operation includes inference.

[0562] As an embodiment, the second operation includes AI inference.

[0563] As an embodiment, the second operation includes AI inference for CSI.

[0564] As an embodiment, the second operation is AI inference for CSI recovery.

[0565] As an embodiment, the second operation is AI inference for CSI decompression.

[0566] As an embodiment, the second operation is performed by an AI entity deployed on the second node.

[0567] As an embodiment, the second operation is performed by an AI function deployed on the second node.

[0568] As an embodiment, the second operation requires deployment.

[0569] As an embodiment, the second operation is obtained by loading.

[0570] As an embodiment, the second operation is based on artificial intelligence or machine learning.

[0571] As an embodiment, the second operation is based on a neural network.

[0572] As an embodiment, the second operation includes a decoder for CSI compression based on a neural network or CNN.

[0573] Example 8

[0574] Embodiment 8 illustrates a schematic diagram of a first signal sequence depending on a second CSI according to an embodiment of the present application; Figure 8 shown.

[0575] In embodiment 8, the first signal sequence depends on the second CSI.

[0576] As an embodiment, the second CSI includes PMI.

[0577] As an embodiment, the second CSI includes a precoding matrix.

[0578] As an embodiment, the second CSI includes K2 precoding matrices, and K2 signals among the K signals respectively depend on the K2 precoding matrices; and K2 is a positive integer not greater than K.

[0579] As an embodiment, K2 is equal to 1.

[0580] As an embodiment, K2 is greater than 1 and less than K.

[0581] As an embodiment, the K2 precoding matrices are non-codebook-based precoding matrices.

[0582] As an embodiment, the K2 precoding matrices are unknown to the first node.

[0583] As an embodiment, the sender of the first signal sequence generates the K2 signals using the K2 precoding matrices respectively.

[0584] As an embodiment, the K2 is smaller than the K, and the precoding matrices of (K-K2) signals among the K signals except the K2 signals do not belong to the K2 precoding matrices.

[0585] As an embodiment, the K2 is smaller than the K, and the second CSI does not include precoding matrices of (K-K2) signals among the K signals except the K2 signals.

[0586] As an embodiment, the K2 signals are K2 default signals among the K signals.

[0587] As an embodiment, the K2 signals are the K2 earliest signals in the time domain among the K signals.

[0588] As an embodiment, the K2 signals are signals having the earliest K2 starting symbols in the time domain among the K signals.

[0589] As an embodiment, the K2 signals are the K2 lowest signals in the frequency domain among the K signals.

[0590] As an embodiment, the K2 signals are signals with the lowest frequency domain starting RBs (Resource Blocks) among the K signals.

[0591] As an embodiment, the K2 signals are signals with the smallest starting RB numbers among the K signals.

[0592] As an embodiment, the K2 signals are the K2 signals with the smallest layer numbers among the K signals.

[0593] As an embodiment, the K2 signals are the smallest signals of the antenna ports mapped by K2 of the K signals.

[0594] As an embodiment, the K2 signals are the smallest signals of the K2 DMRS ports among the K signals.

[0595] As an embodiment, the first signal is one of the K2 signals.

[0596] As an embodiment, the K2 is equal to 1, and the first signal is the K2 signals.

[0597] As an embodiment, the precoding matrix of the (K-K2) signals does not depend on the second CSI.

[0598] As an embodiment, the precoding matrix of the (K-K2) signals does not depend on the first CSI.

[0599] As an embodiment, the precoding matrix of the (K-K2) signals does not depend on the output of the second operation.

[0600] As an embodiment, the precoding matrix of the (K-K2) signals does not depend on the output of the first operation.

[0601] As an embodiment, the precoding matrix includes a precoding vector.

[0602] Example 9

[0603] Embodiment 9 illustrates a schematic diagram of a first signal sequence depending on a second CSI according to an embodiment of the present application; Fig. 9 shown.

[0604] In Embodiment 9, the second CSI includes K2 precoding matrices, and K2 signals among the K signals respectively depend on the K2 precoding matrices; K2 is a positive integer less than K; the precoding matrices of (K-K2) signals among the K signals except the K2 signals depend on the third CSI, and the third CSI is based on the codebook.

[0605] In the attached Fig. 9 In the figure, the K signals are respectively represented as signal #0, ..., signal #(K-1); the K2 signals are respectively represented as signal #0, ..., signal #(K2-1).

[0606] As an embodiment, the benefits of the above method include: good backward compatibility.

[0607] As an embodiment, the benefits of the above method include: simple implementation.

[0608] As an embodiment, the third CSI indicates the precoding matrix of the (K-K2) signals.

[0609] As an embodiment, the third CSI is used to generate the precoding matrix of the (K-K2) signals.

[0610] As an embodiment, the precoding matrix of the (K-K2) signals is a codebook-based precoding matrix.

[0611] As an embodiment, the precoding matrix of the (K-K2) signals is known to the first node.

[0612] As an embodiment, the method in the first node used for wireless communication includes:

[0613] The third CSI is sent.

[0614] As an embodiment, the method used in the second node for wireless communication includes:

[0615] The third CS is received.

[0616] As an embodiment, the third CSI is transmitted on PUCCH or PUSCH.

[0617] Example 10

[0618] Embodiment 10 illustrates a schematic diagram of a first signal sequence depending on a second CSI according to an embodiment of the present application; Fig.10 shown.

[0619] In embodiment 10, the second CSI includes K2 precoding matrices, and K2 signals among the K signals respectively depend on the K2 precoding matrices; K2 is a positive integer less than K; and the precoding matrices of (K-K2) signals among the K signals except the K2 signals are generated by the sender of the first signal sequence.

[0620] In the attached Fig.10 In the figure, the K signals are respectively represented as signal #0, ..., signal #(K-1); the K2 signals are respectively represented as signal #0, ..., signal #(K2-1).

[0621] As an embodiment, the benefits of the above method include: higher flexibility and better applicability to different scenarios.

[0622] Generally speaking, how the sender of the first signal sequence determines the precoding matrix of the (K-K2) signals is determined by the hardware equipment manufacturer. Some non-limiting implementation methods are described below:

[0623] As an embodiment, the precoding matrix of the (K-K2) signals depends on the K2 precoding matrices.

[0624] As an embodiment, the sender of the first signal sequence generates the precoding matrix of the (K-K2) signals based on the K2 precoding matrices.

[0625] As an embodiment, the precoding matrix of the (K-K2) signals is obtained by processing part or all of the K2 precoding matrices.

[0626] As an embodiment, the processing includes mathematical operations and matrix operations.

[0627] As an embodiment, the processing includes one or more of projection, matrix decomposition, table lookup, difference, weighting and averaging.

[0628] As an embodiment, the precoding matrices of the (K-K2) signals are obtained by projecting part or all of the K2 precoding matrices onto a basis space.

[0629] As an embodiment, the K2 is equal to 1, and the precoding matrices of the (K-K2) signals are obtained by projecting the K2 precoding matrices onto a basis space.

[0630] As an embodiment, the precoding matrices of the (K-K2) signals are the (K-K2) codewords in a predefined codebook that are closest to part or all of the K2 precoding matrices.

[0631] As an embodiment, the K2 is equal to 1, and the precoding matrices of the (K-K2) signals are the (K-K2) codewords closest to the K2 precoding matrices in a predefined codebook.

[0632] As an embodiment, the precoding matrix of each of the (K-K2) signals is orthogonal to one of the K2 precoding matrices.

[0633] As an embodiment, the K2 is equal to 1, and the precoding matrices of the (K-K2) signals are (K-K2) precoding matrices orthogonal to the K2 precoding matrices.

[0634] As an embodiment, the K2 is greater than 1, and the precoding matrix of each of the (K-K2) signals is obtained by weighting and averaging part or all of the K2 precoding matrices.

[0635] As an embodiment, the precoding matrix of each of the (K-K2) signals depends on the sum of a precoding matrix among the K2 precoding matrices and a disturbance matrix.

[0636] As a sub-embodiment of the above embodiment, the precoding matrix of each of the (K-K2) signals is equal to the sum of one precoding matrix among the K2 precoding matrices and the one disturbance matrix.

[0637] As a sub-embodiment of the above embodiment, the perturbation matrix is ​​randomly generated.

[0638] As a sub-embodiment of the above embodiment, a ratio of a modulus value of the perturbation matrix to a modulus value of the precoding matrix is ​​preconfigured.

[0639] As a sub-embodiment of the above embodiment, the disturbance matrix is ​​generated in a predetermined manner.

[0640] As an embodiment, the precoding matrix of the (K-K2) signals is randomly generated by the sender of the first signal sequence.

[0641] Embodiment 11

[0642] Embodiment 11 illustrates a schematic diagram of training that a first node performs a first operation only when a first condition is satisfied according to an embodiment of the present application; Fig.11 shown.

[0643] In Embodiment 11, the first node performs the training of the first operation only when a first condition is satisfied.

[0644] As an embodiment, the first node performs the training of the first operation if and only if the first condition is met.

[0645] As an embodiment, when the first condition is not met, the first node does not perform the training of the first operation.

[0646] As an embodiment, the reception qualities of the K signals are used to determine whether the first condition is met.

[0647] As an embodiment, the first node determines whether the first condition is met based on the reception quality of the K signals.

[0648] As an embodiment, in response to the first condition being met, the first node performs the training of the first operation.

[0649] As an embodiment, along with the first condition being met, the first node performs the training of the first operation.

[0650] Example 12

[0651] Embodiment 12 illustrates a schematic diagram of the first condition according to an embodiment of the present application; Fig.12 shown.

[0652] In Embodiment 12, the first condition includes that there is a signal among the K signals whose reception quality is higher than the reception quality of the first signal, and the first signal is a default signal among the K signals.

[0653] As an embodiment, the first signal is generated based on a previous CSI report of the first node.

[0654] As an embodiment, the first signal is generated based on the most recent CSI report of the first node.

[0655] As an embodiment, the first signal depends on a previous CSI report of the first node.

[0656] As an embodiment, the precoding of the first signal depends on the previous CSI reporting of the first node.

[0657] As an embodiment, the first signal depends on the most recent CSI report of the first node.

[0658] As an embodiment, the precoding of the first signal depends on the most recent CSI report of the first node.

[0659] As an embodiment, the previous CSI report or the most recent CSI report depends on the output of the first operation.

[0660] As an embodiment, the output of the first operation is used to generate the previous CSI report or the most recent CSI report.

[0661] As an embodiment, the previous CSI reporting or the most recent CSI reporting is based on artificial intelligence or machine learning.

[0662] As an embodiment, the previous CSI report or the most recent CSI report is based on a neural network or CNN.

[0663] As an embodiment, the previous CSI report or the most recent CSI report includes compressed CSI.

[0664] As an embodiment, the previous CSI reporting refers to the previous CSI reporting based on artificial intelligence or machine learning.

[0665] As an embodiment, the most recent CSI report refers to the most recent CSI report based on artificial intelligence or machine learning.

[0666] As an embodiment, the before refers to before receiving the first signal sequence.

[0667] As an embodiment, the most recent time refers to the most recent time before receiving the first signal sequence.

[0668] As an embodiment, the first signal depends on the first CSI.

[0669] As an embodiment, precoding of the first signal depends on the first CSI.

[0670] As an embodiment, the precoding matrix of the first signal is one of the K2 precoding matrices.

[0671] As an embodiment, when there is a signal among the K signals whose reception quality is higher than the reception quality of the first signal, the first condition is met.

[0672] As an embodiment, the first condition is satisfied only when there is one signal among the K signals whose reception quality is higher than the reception quality of the first signal.

[0673] As an embodiment, the first condition includes that there is one signal among the K signals whose reception quality is higher than the reception quality of the first signal, and the difference between the reception quality of the one signal and the reception quality of the first signal is greater than a first threshold.

[0674] As an embodiment, when there is one signal among the K signals whose reception quality is higher than the reception quality of the first signal, and the difference between the reception quality of the one signal and the reception quality of the first signal is greater than a first threshold, the first condition is met.

[0675] As an embodiment, the first condition is met only when there is one signal among the K signals whose reception quality is higher than the reception quality of the first signal, and the difference between the reception quality of the one signal and the reception quality of the first signal is greater than a first threshold.

[0676] As an embodiment, the first signal is the earliest signal in the time domain among the K signals.

[0677] As an embodiment, the first signal is a signal having the earliest starting symbol in the time domain among the K signals.

[0678] As an embodiment, the first signal is the lowest signal in the frequency domain among the K signals.

[0679] As an embodiment, the first signal is a signal whose starting RB is the lowest in the frequency domain among the K signals.

[0680] As an embodiment, the first signal is a signal having the smallest starting RB number among the K signals.

[0681] As an embodiment, the first signal is a signal with the smallest layer number among the K signals.

[0682] As an embodiment, the first signal is a signal with the smallest mapped antenna port among the K signals.

[0683] As an embodiment, the first signal is a signal having the smallest DMRS port among the K signals.

[0684] As an embodiment, the first threshold is configurable.

[0685] As an embodiment, the first threshold is configured by higher layer signaling.

[0686] As an embodiment, the first configuration information block indicates the first threshold.

[0687] As an embodiment, the first threshold depends on the reception quality of the first signal.

[0688] As an embodiment, the first threshold is equal to the reception quality of the first signal multiplied by a coefficient.

[0689] As a sub-embodiment of the above embodiment, the coefficient is greater than 0 and less than 1.

[0690] As a sub-embodiment of the above embodiment, the one coefficient is configurable.

[0691] As a sub-embodiment of the above embodiment, the one coefficient is configured by RRC signaling.

[0692] As a sub-embodiment of the above embodiment, the first configuration information block indicates the one coefficient.

[0693] Example 13

[0694] Embodiment 13 illustrates a schematic diagram in which the first condition is satisfied according to an embodiment of the present application; Fig.13 shown.

[0695] In Embodiment 13, the first condition is satisfied if and only if there is one signal among the K signals whose reception quality is higher than the reception quality of the first signal.

[0696] Embodiment 14

[0697] Embodiment 14 illustrates a schematic diagram in which the first condition is satisfied according to an embodiment of the present application; Fig.14 shown.

[0698] In Example 14, the first condition is satisfied if and only if there is one signal among the K signals whose reception quality is higher than the reception quality of the first signal, and the difference between the reception quality of the one signal and the reception quality of the first signal is greater than the first threshold.

[0699] Embodiment 15

[0700] Embodiment 15 illustrates a schematic diagram of the first condition according to an embodiment of the present application; Fig.15 shown.

[0701] In Example 15, the first condition includes that the difference between the reception quality of the first given signal and the reception quality of the second given signal is greater than a first given threshold; the first given signal is the signal with the highest reception quality among the K signals, and the second given signal is the signal with the second highest reception quality among the K signals.

[0702] As an embodiment, if the difference between the reception quality of the first given signal and the reception quality of the second given signal is greater than the first given threshold, the first condition is met.

[0703] As an embodiment, the first condition is satisfied only when the difference between the reception quality of the first given signal and the reception quality of the second given signal is greater than the first given threshold.

[0704] As an embodiment, if the difference between the reception quality of the first given signal and the reception quality of the second given signal is not greater than the first given threshold, the first condition is not met.

[0705] As an embodiment, the gap between the reception quality of the first given signal and the reception quality of the second given signal refers to the difference between the reception quality of the first given signal and the reception quality of the second given signal.

[0706] As an embodiment, the gap between the reception quality of the first given signal and the reception quality of the second given signal refers to the absolute value of the difference between the reception quality of the first given signal and the reception quality of the second given signal.

[0707] As an embodiment, the gap between the reception quality of the first given signal and the reception quality of the second given signal refers to the difference between the absolute value of the reception quality of the first given signal and the absolute value of the reception quality of the second given signal.

[0708] As an embodiment, the gap between the reception quality of the first given signal and the reception quality of the second given signal refers to the absolute value of the difference between the absolute value of the reception quality of the first given signal and the absolute value of the reception quality of the second given signal.

[0709] As an embodiment, the gap between the reception quality of the first given signal and the reception quality of the second given signal refers to the ratio between the reception quality of the first given signal and the reception quality of the second given signal.

[0710] As an embodiment, the first given threshold is configurable.

[0711] As an embodiment, the first given threshold is configured by higher layer signaling.

[0712] As an embodiment, the first given threshold is configured by RRC signaling.

[0713] As an embodiment, the first configuration information block indicates the first given threshold.

[0714] As an embodiment, the first given threshold is configured by MAC CE.

[0715] As an embodiment, the first given threshold depends on the reception quality of the first given signal.

[0716] As an embodiment, the first given threshold is equal to the reception quality of the first given signal multiplied by a first coefficient.

[0717] As a sub-embodiment of the above embodiment, the first coefficient is greater than 0 and less than 1.

[0718] As a sub-embodiment of the above embodiment, the first coefficient is configurable.

[0719] As a sub-embodiment of the above embodiment, the first coefficient is configured by RRC signaling.

[0720] As a sub-embodiment of the above embodiment, the first configuration information block indicates the first coefficient.

[0721] As an embodiment, the first given threshold depends on the reception quality of the K signals.

[0722] As an embodiment, the first given threshold is equal to an average value of the reception qualities of the K signals.

[0723] As an embodiment, the first given threshold is equal to the weighted average value of the reception qualities of the K signals.

[0724] Example 16

[0725] Embodiment 16 illustrates a schematic diagram in which the first condition is satisfied according to an embodiment of the present application; Fig.16 shown.

[0726] In Embodiment 16, the first condition is satisfied if and only if the difference between the reception quality of the first given signal and the reception quality of the second given signal is greater than the first given threshold.

[0727] Embodiment 17

[0728] Embodiment 17 illustrates a schematic diagram of the first condition according to an embodiment of the present application; Fig.17 shown.

[0729] In Example 17, the K signals are arranged in sequence; the first condition includes that the K signals include two signals that satisfy the second condition, and the second condition is that the reception quality of a signal arranged at the rear is higher than the reception quality of a signal arranged at the front.

[0730] As an embodiment, if the K signals include two signals that satisfy the second condition, the first condition is satisfied; the second condition is that the reception quality of a signal arranged at the rear is higher than the reception quality of a signal arranged at the front.

[0731] As an embodiment, the first condition is satisfied only when the K signals include two signals satisfying the second condition; the second condition is that the reception quality of a signal arranged later is higher than the reception quality of a signal arranged earlier.

[0732] As an embodiment, when the K signals include two signals that satisfy the second condition, the first condition is satisfied; for any two of the K signals, when the reception quality of the latter signal among the two signals is higher than the reception quality of the former signal among the two signals, the two signals satisfy the second condition.

[0733] As an embodiment, the first condition includes that the K signals include a third given signal and a fourth given signal, the third given signal is arranged before the fourth given signal, and the reception quality of the fourth given signal is higher than the reception quality of the third given signal.

[0734] As an embodiment, if the K signals include a third given signal and a fourth given signal, the third given signal is arranged before the fourth given signal, and the reception quality of the fourth given signal is higher than the reception quality of the third given signal, the first condition is satisfied.

[0735] As an embodiment, the first condition is met only when the K signals include a third given signal and a fourth given signal, the third given signal is arranged before the fourth given signal, and the reception quality of the fourth given signal is higher than the reception quality of the third given signal.

[0736] As an embodiment, the first condition includes that the K signals include a third given signal and a fourth given signal, the third given signal is arranged before the fourth given signal, the reception quality of the fourth given signal is higher than the reception quality of the third given signal, and the difference between the reception quality of the fourth given signal and the reception quality of the third given signal is greater than a second given threshold.

[0737] As an embodiment, if the K signals include a third given signal and a fourth given signal, the third given signal is arranged before the fourth given signal, the reception quality of the fourth given signal is higher than the reception quality of the third given signal and the difference between the reception quality of the fourth given signal and the reception quality of the third given signal is greater than a second given threshold, the first condition is satisfied.

[0738] As an embodiment, the first condition is met only when the K signals include a third given signal and a fourth given signal, the third given signal is arranged before the fourth given signal, the reception quality of the fourth given signal is higher than the reception quality of the third given signal, and the difference between the reception quality of the fourth given signal and the reception quality of the third given signal is greater than a second given threshold.

[0739] As an embodiment, the first condition includes that the K signals include two signals that satisfy the third condition; the third condition is that the reception quality of a signal arranged at the rear is higher than the reception quality of a signal arranged at the front, and the difference between the reception quality of the signal arranged at the rear and the reception quality of the signal arranged at the front is greater than a second given threshold.

[0740] As an embodiment, if the K signals include two signals that satisfy a third condition, the first condition is satisfied; the third condition is that the reception quality of a subsequent signal is higher than the reception quality of a preceding signal, and the difference between the reception quality of the subsequent signal and the reception quality of the preceding signal is greater than a second given threshold.

[0741] As an embodiment, the first condition is satisfied only when the K signals include two signals satisfying a third condition; the third condition is that the reception quality of a rear signal is higher than the reception quality of a front signal, and the difference between the reception quality of the rear signal and the reception quality of the front signal is greater than a second given threshold.

[0742] As an embodiment, when the K signals include two signals that satisfy the third condition, the first condition is satisfied; for any two of the K signals, when the reception quality of the latter signal among the two signals is higher than the reception quality of the former signal among the two signals, and the difference between the reception quality of the latter signal and the reception quality of the former signal is greater than a second given threshold, the two signals satisfy the third condition.

[0743] As an embodiment, the first condition includes that the K signals include adjacent third given signals and fourth given signals, the third given signal is arranged before the fourth given signal, and the reception quality of the fourth given signal is higher than the reception quality of the third given signal.

[0744] As an embodiment, if the K signals include adjacent third given signals and fourth given signals, the third given signal is arranged before the fourth given signal, and the reception quality of the fourth given signal is higher than the reception quality of the third given signal, the first condition is satisfied.

[0745] As an embodiment, the first condition is met only when the K signals include adjacent third given signals and fourth given signals, the third given signal is arranged before the fourth given signal, and the reception quality of the fourth given signal is higher than the reception quality of the third given signal.

[0746] As an embodiment, the first condition includes that the K signals include two adjacent signals that satisfy the second condition; and the second condition is that the reception quality of a signal arranged in the rear is higher than the reception quality of a signal arranged in the front.

[0747] As an embodiment, if the K signals include two adjacent signals that satisfy a second condition, the first condition is satisfied; the second condition is that the reception quality of a signal arranged in the latter position is higher than the reception quality of a signal arranged in the former position.

[0748] As an embodiment, the first condition is satisfied only when the K signals include two adjacent signals satisfying a second condition; the second condition is that the reception quality of a signal arranged later is higher than the reception quality of a signal arranged earlier.

[0749] As an embodiment, the first condition includes that the K signals include an adjacent third given signal and a fourth given signal, the third given signal is arranged before the fourth given signal, the reception quality of the fourth given signal is higher than the reception quality of the third given signal, and the difference between the reception quality of the fourth given signal and the reception quality of the third given signal is greater than a second given threshold.

[0750] As an embodiment, if the K signals include an adjacent third given signal and a fourth given signal, the third given signal is arranged before the fourth given signal, the reception quality of the fourth given signal is higher than the reception quality of the third given signal and the difference between the reception quality of the fourth given signal and the reception quality of the third given signal is greater than a second given threshold, the first condition is met.

[0751] As an embodiment, the first condition is met only when the K signals include adjacent third given signals and fourth given signals, the third given signal is arranged before the fourth given signal, the reception quality of the fourth given signal is higher than the reception quality of the third given signal, and the difference between the reception quality of the fourth given signal and the reception quality of the third given signal is greater than a second given threshold.

[0752] As an embodiment, the first condition includes that the K signals include two adjacent signals that satisfy the third condition; the third condition is that the reception quality of a signal arranged at the rear is higher than the reception quality of a signal arranged at the front, and the difference between the reception quality of the signal arranged at the rear and the reception quality of the signal arranged at the front is greater than a second given threshold.

[0753] As an embodiment, the first condition is satisfied if the K signals include two adjacent signals satisfying a third condition; the third condition is that the reception quality of a subsequent signal is higher than the reception quality of a preceding signal, and the difference between the reception quality of the subsequent signal and the reception quality of the preceding signal is greater than a second given threshold.

[0754] As an embodiment, the first condition is satisfied only when the K signals include two adjacent signals satisfying a third condition; the third condition is that the reception quality of a rear signal is higher than the reception quality of a front signal, and the difference between the reception quality of the rear signal and the reception quality of the front signal is greater than a second given threshold.

[0755] As an embodiment, for any two signals among the K signals, if the reception quality of the latter signal among the two signals is higher than the reception quality of the former signal among the two signals, the two signals satisfy the second condition.

[0756] As an embodiment, for any two signals among the K signals, the two signals satisfy the second condition only if the reception quality of the latter signal among the two signals is higher than the reception quality of the former signal among the two signals.

[0757] As an embodiment, for any two signals among the K signals, if the reception quality of the latter signal among the two signals is higher than the reception quality of the former signal among the two signals, and the difference between the reception quality of the latter signal and the reception quality of the former signal is greater than a second given threshold, the two signals satisfy the third condition.

[0758] As an embodiment, for any two signals among the K signals, the two signals satisfy the third condition only when the reception quality of the latter signal among the two signals is higher than the reception quality of the former signal among the two signals, and the difference between the reception quality of the latter signal and the reception quality of the former signal is greater than a second given threshold.

[0759] As an embodiment, the second given threshold is configurable.

[0760] As an embodiment, the second given threshold is configured by higher layer signaling.

[0761] As an embodiment, the second given threshold is configured by RRC signaling.

[0762] As an embodiment, the first configuration information block indicates the second given threshold.

[0763] As an embodiment, the second given threshold is configured by MAC CE.

[0764] As an embodiment, the second given threshold depends on the reception quality of the first signal of the two signals.

[0765] As an embodiment, the second given threshold depends on the higher reception quality of the two signals.

[0766] As an embodiment, the second given threshold is equal to the reception quality of the first signal of the two signals multiplied by a third coefficient.

[0767] As an embodiment, the second given threshold is equal to the higher reception quality of the two signals multiplied by a third coefficient.

[0768] As an embodiment, the third coefficient is configurable.

[0769] As an embodiment, the third coefficient is configured by higher layer signaling.

[0770] As an embodiment, the third coefficient is configured by RRC signaling.

[0771] As an embodiment, the first configuration information block indicates the third coefficient.

[0772] Embodiment 18

[0773] Embodiment 18 illustrates a schematic diagram of the first condition and the second condition according to an embodiment of the present application; Fig.18 shown.

[0774] In Example 18, the first condition is satisfied if and only if the K signals include two signals that satisfy the second condition; for any two of the K signals, the two signals satisfy the second condition if and only if the reception quality of the latter one of the two signals is higher than the reception quality of the former one of the two signals.

[0775] Embodiment 19

[0776] Embodiment 19 illustrates a schematic diagram of the first condition and the third condition according to an embodiment of the present application; Fig.19 shown.

[0777] In Example 19, the first condition is satisfied if and only if the K signals include two signals that satisfy the third condition; for any two of the K signals, the two signals satisfy the third condition if and only if the reception quality of the latter signal among the two signals is higher than the reception quality of the former signal among the two signals, and the difference between the reception quality of the latter signal and the reception quality of the former signal is greater than a second threshold.

[0778] Embodiment 20

[0779] Embodiment 20 illustrates a schematic diagram of K signals arranged in sequence according to an embodiment of the present application; Fig. 20 shown.

[0780] In Embodiment 20, the K signals are arranged in sequence, which means that the K signals are arranged in sequence according to the order of precedence in the time domain. Fig. 20 In the figure, the K signals are respectively represented as signal #0, signal #1, ..., signal #(K-1).

[0781] As an embodiment, the K signals being arranged in sequence means that the K signals are arranged in sequence according to the order of the starting symbols in the time domain.

[0782] As an embodiment, one signal is arranged before another signal means that the one signal precedes the another signal in the time domain; the one signal and the another signal are any two signals among the K signals.

[0783] As an embodiment, one signal is arranged before another signal means that the start symbol of the one signal precedes the start symbol of the other signal in the time domain; the one signal and the other signal are any two signals among the K signals.

[0784] Embodiment 21

[0785] Embodiment 21 illustrates a schematic diagram of K signals arranged in sequence according to an embodiment of the present application; Fig.21 shown.

[0786] In Example 21, in the attached Fig.21 In (a), the K signals are arranged in sequence means that the K signals are arranged in sequence from low to high according to the frequency in the frequency domain; Fig.21 In (b), the K signals are arranged in sequence means that the K signals are arranged in sequence from small to large according to the starting RB number.

[0787] In the attached Fig.21 In the figure, the K signals are respectively represented as signal #0, signal #1, ..., signal #(K-1).

[0788] In the attached Fig.21 In the example, the RB start and the RB end represent the RB with the smallest number and the RB with the largest number, respectively.

[0789] As an example, Fig.21 The RB start and the RB end in the RB respectively represent the RB with the smallest number and the RB with the largest number in the BWP (bandwidth part) to which the first signal sequence belongs.

[0790] As an embodiment, the K signals being arranged in sequence means that the K signals are arranged in sequence from low to high in the frequency domain according to the starting RB.

[0791] As an embodiment, the starting RB refers to the RB with the smallest number.

[0792] As an embodiment, the RB refers to a VRB (Virtual Resource Block).

[0793] As an embodiment, the RB refers to a PRB (Physical Resource Block).

[0794] As an embodiment, one signal is arranged before another signal means that the one signal is lower than the other signal in the frequency domain; the one signal and the other signal are any two signals among the K signals.

[0795] As an embodiment, one signal is arranged before another signal means that the starting RB of the one signal is lower than the starting RB of the other signal in the frequency domain; the one signal and the other signal are any two signals among the K signals.

[0796] As an embodiment, one signal is arranged before another signal means that the starting RB number of the one signal is smaller than the starting RB number of the other signal; the one signal and the other signal are any two signals among the K signals.

[0797] Embodiment 22

[0798] Embodiment 22 illustrates a schematic diagram of K signals arranged in sequence according to an embodiment of the present application; Fig. 22 shown.

[0799] In Example 22, the K signals are K layers; the K signals being arranged in sequence means that the K signals are arranged in sequence from small to large according to the layer numbers.

[0800] In the attached Fig. 22 In the above, the K signals are represented as signal #0, signal #1, ..., signal #(K-1), respectively; Said are the K signals, the p0, ..., the p K-1 are the antenna ports to which the K signals are mapped, and the x (0) (i), ..., the x (K-1) (i) are modulation symbols of K layers, M is the number of modulation symbols of each layer, and the layer numbers of the K signals are 0, ..., K-1 respectively.

[0801] As an embodiment, the p0, ..., the p K-1 It is indicated by the scheduling signaling of the K signals.

[0802] As an embodiment, the p0, ..., the p K-1 It is indicated by the DCI field Antennaport(s) of the scheduling signaling of the K signals.

[0803] As an embodiment, the K signals are arranged in sequence, which means that the K signals are arranged in sequence from left to right according to the positions of the mapped antenna ports in the first antenna port group; the scheduling signaling of the K signals indicates the first antenna port group, the first antenna port group includes K antenna ports, and the K antenna ports are arranged in sequence from left to right in the first antenna port group.

[0804] As an embodiment, the scheduling signaling includes DCI (Downlink Control Information).

[0805] As an embodiment, the DCI field Antenna port(s) of the scheduling signaling indicates the first antenna port group.

[0806] As an embodiment, the first antenna port group consists of the K antenna ports.

[0807] As an embodiment, the K signals are respectively mapped to the K antenna ports.

[0808] As an example, Fig. 22 The p0,…, the p K-1 are the K antenna ports.

[0809] As an example, Fig. 22 The p0,…, the p K-1 Arranged sequentially from left to right in the first antenna port group.

[0810] As an embodiment, the K signals are arranged in sequence means that the K signals are arranged in sequence from small to large according to the mapped antenna ports.

[0811] As an embodiment, the K signals respectively include DMRS, and the K signals are arranged in sequence means that the K signals are arranged in sequence from small to large according to DMRS ports.

[0812] As an embodiment, one signal is arranged before another signal means that the layer number of the one signal is smaller than the layer number of the other signal; the one signal and the other signal are any two signals among the K signals.

[0813] As an embodiment, one signal is arranged before another signal means that the antenna port mapped by the one signal is located to the left of the antenna port mapped by the other signal in the first antenna port group; the scheduling signaling of the K signals indicates the first antenna port group, the first antenna port group includes K antenna ports, and the K antenna ports are arranged in sequence from left to right in the first antenna port group; the one signal and the other signal are any two signals among the K signals.

[0814] As an embodiment, one signal is arranged before another signal means that the antenna port mapped by the one signal is smaller than the antenna port mapped by the other signal; the one signal and the other signal are any two signals among the K signals.

[0815] As an embodiment, one signal is arranged before another signal means that a DMRS port of the one signal is smaller than a DMRS port of the other signal; and the one signal and the other signal are any two signals among the K signals.

[0816] Embodiment 23

[0817] Embodiment 23 illustrates a schematic diagram of any one of the K signals including multiple sub-signals according to an embodiment of the present application; Fig.23 shown.

[0818] In Embodiment 23, any one of the K signals includes a plurality of sub-signals, and any sub-signal included in any one of the K signals includes at least one of PDSCH and DMRS. Fig.23 In the figure, the K signals are respectively represented as signal #0, ..., signal #(K-1).

[0819] As an embodiment, for any signal among the K signals, each sub-signal included in this signal includes PDSCH or DMRS.

[0820] As an embodiment, for any signal among the K signals, the multiple sub-signals included in this signal are quasi-co-located.

[0821] As an embodiment, for any signal among the K signals, any two sub-signals among the multiple sub-signals included in this signal are quasi-co-located.

[0822] As an embodiment, for any signal among the K signals, any two sub-signals among the multiple sub-signals included in this signal are quasi-co-located and the corresponding quasi-co-location type includes TypeD.

[0823] As an embodiment, for any signal among the K signals, the multiple sub-signals included in this signal adopt the same precoding matrix.

[0824] As an embodiment, for any signal among the K signals, the multiple sub-signals included in this signal are sent by the same one or more antenna ports.

[0825] As an embodiment, the multiple sub-signals included in one signal among the K signals are respectively scheduled by different DCIs.

[0826] As an embodiment, for any signal among the K signals, the multiple sub-signals included in this signal are respectively scheduled by different DCIs.

[0827] As an embodiment, for any signal among the K signals, the multiple sub-signals included in this signal are mutually orthogonal in the time domain or the frequency domain.

[0828] As an embodiment, for any signal among the K signals, the transmission channel of the multiple sub-signals included in this signal is ergodic.

[0829] As an embodiment, for the multiple sub-signals included in any signal among the K signals, a channel for transmitting any sub-signal among the multiple sub-signals cannot be inferred from a channel for transmitting another sub-signal among the multiple sub-signals.

[0830] As an embodiment, the reception quality of any one of the K signals depends on the reception quality of the multiple sub-signals included in this signal.

[0831] As an embodiment, the reception quality of any one of the K signals is the average reception quality of the multiple sub-signals included in this signal.

[0832] As an embodiment, the reception quality of any signal among the K signals is the reception quality of a sub-signal with the worst reception quality among the multiple sub-signals included in this signal.

[0833] As an embodiment, the reception quality of any signal among the K signals is the reception quality of a sub-signal with the best reception quality among the multiple sub-signals included in this signal.

[0834] As an embodiment, the reception quality of any signal among the K signals is the average reception quality of other sub-signals among the multiple sub-signals included in this signal except the sub-signal with the best reception quality.

[0835] As an embodiment, the reception quality of any signal among the K signals is the average reception quality of other sub-signals among the multiple sub-signals included in this signal except the sub-signal with the worst reception quality.

[0836] Embodiment 24

[0837] Embodiment 24 illustrates a schematic diagram of any one of the K signals including multiple sub-signals according to an embodiment of the present application; Fig.24 shown.

[0838] In Example 24, each of the K signals includes P sub-signals, where P is a positive integer greater than 1; all sub-signals included in the K signals are divided into P sub-signal groups, and each sub-signal group in the P sub-signal groups includes a sub-signal included in each of the K signals.

[0839] In the attached Fig.24In the figure, the K signals are respectively represented as signal #0, ..., signal #(K-1); the P sub-signals are respectively represented as sub-signal #0, ..., sub-signal #(P-1); the P sub-signal groups are respectively represented as sub-signal group #0, ..., sub-signal group #(P-1).

[0840] As an embodiment, the K sub-signals in each sub-signal group in the P sub-signal groups are scheduled by the same DCI.

[0841] As an embodiment, the first condition includes that a sub-signal included in one of the K signals has the highest reception quality in P1 sub-signal groups among the P sub-signal groups, and P1 is greater than a third given threshold.

[0842] As an embodiment, when there is a signal among the K signals whose sub-signals have the highest reception quality in P1 sub-signal groups among the P sub-signal groups and the P1 is greater than a third given threshold, the first condition is met.

[0843] As an embodiment, the first condition is satisfied only when there is one signal among the K signals whose sub-signal has the highest reception quality in P1 sub-signal groups among the P sub-signal groups and the P1 is greater than a third given threshold.

[0844] As an embodiment, the first condition includes that a sub-signal included in a signal other than the first signal among the K signals has the highest reception quality among P1 sub-signal groups among the P sub-signal groups, and P1 is greater than a third given threshold.

[0845] As an embodiment, when there is a signal among the K signals except the first signal whose sub-signals have the highest reception quality in P1 sub-signal groups among the P sub-signal groups and the P1 is greater than a third given threshold, the first condition is met.

[0846] As an embodiment, the first condition is met only when there is a signal among the K signals except the first signal whose sub-signal has the highest reception quality in P1 sub-signal groups among the P sub-signal groups and the P1 is greater than a third given threshold.

[0847] As an embodiment, the third given threshold is configurable.

[0848] As an embodiment, the third given threshold is configured by RRC signaling.

[0849] As an embodiment, the first configuration information block indicates the third given threshold.

[0850] As an embodiment, the third given threshold depends on the P.

[0851] As an embodiment, the third given threshold is equal to the product of P and a second coefficient, and the second coefficient is greater than 0 and less than 1.

[0852] As an embodiment, the second coefficient is configurable.

[0853] As an embodiment, the second coefficient is configured by RRC signaling.

[0854] As an embodiment, the first configuration information block indicates the second coefficient.

[0855] As an embodiment, the first signal is a default signal among the K signals.

[0856] As an embodiment, the first signal is a signal having the earliest starting symbol in the time domain among the K signals.

[0857] As an embodiment, the first signal is a signal whose starting RB is the lowest in the frequency domain among the K signals.

[0858] As an embodiment, the first signal is a signal having the smallest starting RB number among the K signals.

[0859] As an embodiment, the first signal is a signal with the smallest layer number among the K signals.

[0860] As an embodiment, the first signal is a signal having the smallest DMRS port among the K signals.

[0861] Embodiment 25

[0862] Embodiment 25 illustrates a schematic diagram of a first DCI scheduling first signal sequence according to an embodiment of the present application; Fig.25 shown.

[0863] In embodiment 25, the first DCI schedules the first signal sequence.

[0864] As an embodiment, the first DCI schedules each signal in the first signal sequence.

[0865] As an embodiment, the first DCI indicates scheduling information of each signal in the first signal sequence.

[0866] As an embodiment, the scheduling information includes one or more of time domain resources, frequency domain resources, MCS (Modulation and coding scheme), DMRS (Demodulation Reference Signal) port, HARQ (Hybrid Automatic Repeat request) process number, RV (Redundancy Version) or NDI (New Data Indicator).

[0867] As an embodiment, the scheduling information includes TCI (Transmission configuration indicator) status or spatial relation.

[0868] As an embodiment, the first DCI explicitly indicates scheduling information of a portion of signals in the first signal sequence, and implicitly indicates scheduling information of another portion of signals in the first signal sequence.

[0869] As an embodiment, the first signal sequence includes all PDSCHs scheduled by the first DCI.

[0870] As an embodiment, the first signal sequence includes the DMRS of all PDSCHs scheduled by the first DCI.

[0871] As an embodiment, the first signal sequence includes all PDSCHs scheduled by the first DCI and DMRSs of all the PDSCHs.

[0872] As an embodiment, the first configuration information block indicates a trigger state, the trigger state is mapped to a DCI domain code point, and the first DCI indicates the DCI domain code point.

[0873] As an embodiment, the first DCI is transmitted on a PDCCH (Physical Downlink Control Channel).

[0874] Embodiment 26

[0875] Embodiment 26 illustrates a schematic diagram of K DCIs scheduling K signals respectively according to an embodiment of the present application; Fig.26 shown.

[0876] In the attached Fig.26In the figure, the K signals are respectively represented as signal #0, ..., signal #(K-1); the K DCIs are respectively represented as DCI #0, ..., DCI #(K-1).

[0877] As an embodiment, the K DCIs respectively schedule the K signals, the K DCIs are mutually orthogonal in the time domain, the K DCIs schedule PDSCHs with the same HARQ process number, and the New data indicator fields of any two adjacent DCIs among the K DCIs are toggled.

[0878] As an embodiment, the benefits of the above method include: better flexibility.

[0879] As an embodiment, any DCI except the earliest one among the K DCIs is the earliest DCI scheduling a PDSCH having the same HARQ process number as the previous DCI and an inverted NDI (New data indicator).

[0880] As an embodiment, each of the K DCIs is transmitted on the PDCCH.

[0881] Embodiment 27

[0882] Embodiment 27 illustrates a schematic diagram of the first operation of initial training according to an embodiment of the present application; Fig. 27 shown.

[0883] In embodiment 27, the initial training of the first operation precedes the receiving of the first signal sequence.

[0884] As an embodiment, the initial training of the first operation is earlier than the reception of at least one signal in the first signal sequence.

[0885] As an embodiment, the initial training of the first operation is earlier than the reception of any signal in the first signal sequence.

[0886] As an embodiment, the initial training of the first operation is earlier than the reception of each signal in the first signal sequence.

[0887] As an embodiment, the initial training refers to the first training.

[0888] As an embodiment, the initial training of the first operation is earlier than the receiving of the first configuration information block.

[0889] As an embodiment, the initial training of the first operation is later than the receiving of the first configuration information block.

[0890] As an embodiment, the initial training of the first operation is earlier than the deployment of the first operation.

[0891] As an embodiment, the initial training of the first operation is earlier than the sending of the first CSI.

[0892] As an embodiment, the initial training of the first operation is performed by an AI function.

[0893] As an embodiment, the initial training of the first operation is performed by an AI function deployed on the first node.

[0894] As an embodiment, the initial training of the first operation is performed by an AI entity.

[0895] As an embodiment, the initial training of the first operation is performed by an AI entity deployed on the first node.

[0896] As an embodiment, the initial training of the first operation is performed by an MDA function (Management Data Analytics Function).

[0897] As an embodiment, the initial training of the first operation is performed by a MDAS (Management Data Analytics Service) producer.

[0898] As an embodiment, the initial training of the first operation is performed by a MnS (Management Service) producer.

[0899] As an embodiment, the initial training of the first operation is performed by NWDAF (Network Data Analytics Function).

[0900] As an embodiment, the initial training includes ML training.

[0901] As an embodiment, the initial training is ML training.

[0902] As an embodiment, the first node is a MnS producer.

[0903] As an embodiment, the first node is a ML trained MnS producer.

[0904] Embodiment 28

[0905] Embodiment 28 illustrates a schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of the present application; Fig.28 shown.

[0906] In Example 28, the first processor sends a first data set to the second processor and sends a second data set to the third processor; the second processor generates a target first-category parameter group based on the first data set, and the second processor sends the generated target first-category parameter group to the third processor; the third processor processes the second data set using the target first-category parameter group to obtain a first-category output, and the third processor sends the first-category output to the fourth processor. Fig.28 In the embodiment, the first type of feedback and the second type of feedback are optional; the second processor includes ML training function; and the third processor includes ML reasoning function.

[0907] As an embodiment, the fourth processor includes ML testing functionality.

[0908] As an embodiment, the fourth processor includes performance monitoring / evaluation of the ML model.

[0909] As an embodiment, the third processor sends the first type of feedback to the second processor, and the first type of feedback is used to trigger recalculation or updating of the target first type parameter group, that is, triggering ML initial training or ML retraining.

[0910] As an embodiment, the fourth processor sends a second type of feedback to the first processor, and the second type of feedback is used to generate the first data set or the second data set, or the second type of feedback is used to trigger the sending of the first data set or the sending of the second data set.

[0911] As an embodiment, the first processor generates the first data set and the second data set based on measurement of a reference signal.

[0912] As an embodiment, the third processor belongs to the first node, and the fourth processor belongs to the second node.

[0913] As an embodiment, the first type of output includes the first CSI.

[0914] As an embodiment, the second data set includes measurements for a reference signal.

[0915] As an embodiment, the first data set includes training data (Training Data).

[0916] As an embodiment, the second processor is used to train an ML model, and the trained model is described by the target first-category parameter group.

[0917] As an embodiment, the second processor belongs to the first node.

[0918] The above embodiment avoids transferring the first data set to the second node.

[0919] As an embodiment, the second processor belongs to the second node.

[0920] The above embodiments support joint training and optimize system performance.

[0921] As an embodiment, the second processor belongs to the core network.

[0922] The above embodiments support joint training of the entire network, further optimizing system performance.

[0923] As an embodiment, the second data set includes inference data.

[0924] As an embodiment, the third processor belongs to the first node.

[0925] As an embodiment, the third processing machine constructs a model according to the target first-category parameter group, and then inputs the second data set into the constructed model to obtain the first-category output.

[0926] As an embodiment, the third processing machine generates a restored data set according to the first type of output, and an error between the restored data set and the second data set is used to generate the first type of feedback.

[0927] As an embodiment, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model cannot meet the requirements, the second processor will recalculate the target first type parameter group.

[0928] As an embodiment, when the error is too large or has not been updated for too long, the performance of the trained model is considered to be unable to meet the requirements.

[0929] As an embodiment, the target first category parameter group includes: one or more of: convolution kernel size, number of convolution layers, convolution step size, pooling kernel size, pooling kernel step size, pooling function, activation function, or number of feature maps.

[0930] As an embodiment, the target first-category parameter group includes: one or more of a convolution kernel, a pooling kernel, a pooling function, an activation function, parameters of a pooling function, or parameters of an activation function.

[0931] As an embodiment, the third processor performs the first operation.

[0932] As an embodiment, the fourth processor includes the second operation.

[0933] As an embodiment, the ML includes AI.

[0934] As an embodiment, the ML includes ML and AI.

[0935] Embodiment 29

[0936] Embodiment 29 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of the present application; Fig.29 Attached Fig.29 Includes a third operation, a fourth operation, a fifth operation, a sixth operation and a seventh operation.

[0937] In Example 29, the third operation and the fourth operation belong to the first stage, the fifth operation belongs to the second stage, the sixth operation belongs to the third stage, and the seventh operation belongs to the fourth stage. Fig.29 In the diagram, the lines with arrows indicate the sequence of the processes.

[0938] As an embodiment, the third operation includes ML training, the fourth operation includes ML testing, the fifth operation includes ML emulation, the sixth operation includes ML entity loading, and the seventh operation includes AI inference.

[0939] As an embodiment, the first phase includes a training phase, the second phase includes an emulation phase, the third phase includes a deployment phase, and the fourth phase includes an emulation phase.

[0940] As an embodiment, the first stage includes ML model training.

[0941] As an embodiment, the first stage includes ML model training and ML testing.

[0942] As an embodiment, the ML model training includes initial training and re-training of one or a group of ML models.

[0943] As an embodiment, the ML model training depends on training data.

[0944] As an embodiment, the ML model training includes ML entity validation.

[0945] As an embodiment, the ML entity validation is used to evaluate the performance of the ML entity.

[0946] As an embodiment, the ML entity verification relies on verification data.

[0947] As an example, if the result of ML entity verification does not meet expectations, the ML model will be retrained.

[0948] As an embodiment, the ML testing includes testing the verified ML entity to estimate the performance of the trained ML model.

[0949] As an example, if the result of the ML test meets expectations, the ML entity proceeds to the next stage; otherwise the ML model will be retrained.

[0950] As an embodiment, the ML test relies on test data.

[0951] As an embodiment, the second stage includes ML simulation, which performs inference of ML entities in a simulation environment.

[0952] As an embodiment, the ML simulation estimates the performance of ML entity reasoning in a simulation environment before using the ML entity.

[0953] As an embodiment, the second stage is optional.

[0954] As an embodiment, the third stage includes ML entity loading, and the ML entity loading is to obtain the trained ML entity to obtain the desired AI reasoning function.

[0955] As an embodiment, the third stage is optional.

[0956] As an example, when the training function and the inference function are co-located, the third stage is no longer required.

[0957] As an embodiment, the fourth stage includes AI reasoning.

[0958] As an embodiment, the ML includes AI.

[0959] As an embodiment, the AI ​​includes ML.

[0960] Embodiment 30

[0961] Embodiment 30 illustrates a schematic diagram of AI function deployment according to an embodiment of the present application; Fig.30 shown.

[0962] In embodiment 30, the AI ​​training function of the RAN (Radio Access Network) domain is located in the 3GPP RAN domain-specific management function, and the AI ​​inference function is located in the UE.

[0963] In embodiment 30, the RAN domain-specific management functions provide AI training functional capabilities as well as AI inference functional capabilities.

[0964] Embodiment 31

[0965] Embodiment 31 illustrates a schematic diagram of AI function deployment according to an embodiment of the present application; Fig.31 shown.

[0966] In embodiment 31, the AI ​​training function is located in the RAN domain-specific management function, and the AI ​​inference function is located locally in the UE.

[0967] In embodiment 31, the management capability of the AI ​​training function is provided by a RAN domain-specific management function, and the management capability of the AI ​​inference is provided locally by the UE.

[0968] In the attached Fig.31 In this article, MnF refers to Management Function.

[0969] Embodiment 32

[0970] Embodiment 32 illustrates a schematic diagram of AI function deployment according to an embodiment of the present application; Fig.32 shown.

[0971] In embodiment 32, both the AI ​​training function and the AI ​​inference function are located in the gNB, wherein the gNB provides training and inference capabilities.

[0972] In embodiment 32, the RAN domain-specific management function provides management capabilities for AI training functions and AI inference functions.

[0973] Embodiment 33

[0974] Embodiment 33 illustrates a schematic diagram of AI function deployment according to an embodiment of the present application; Fig.33 shown.

[0975] In Example 33, both the AI ​​training function and the AI ​​inference function are located in the gNB.

[0976] In Example 33, the management capabilities of AI training and AI inference are both provided locally by the gNB.

[0977] In the attached Fig.33 In this article, MnF refers to Management Function.

[0978] Embodiment 34

[0979] Embodiment 34 illustrates a structural block diagram of a processing device used in a first node according to an embodiment of the present application; Fig.34 As shown in the attached Fig.34 In the embodiment, the processing device 3400 in the first node includes a first receiver 3401 and a first processor 3402.

[0980] As an embodiment, the first node is user equipment.

[0981] As an embodiment, the first node is a relay node device.

[0982] As an embodiment, the first receiver 3401 includes at least one of {antenna 452, receiver 454, receiving processor 456, multi-antenna receiving processor 458, controller / processor 459, memory 460, data source 467} in Embodiment 4.

[0983] As an embodiment, the first processor 3402 includes at least one of {antenna 452, transmitter 454, receiver 454, transmit processor 468, receive processor 456, multi-antenna transmit processor 457, multi-antenna receive processor 458, controller / processor 459, memory 460, data source 467} in Example 4.

[0984] The first receiver 3401 receives a first signal sequence in the same cell.

[0985] The first processor 3402 trains a first operation.

[0986] In embodiment 34, the first signal sequence includes K signals, any signal in the first signal sequence includes at least one of PDSCH and DMRS, and K is a positive integer greater than 1; the training of the first operation depends on the reception quality of the K signals; wherein the output of the first operation includes channel information.

[0987] As an embodiment, the first node performs the training of the first operation only when the first condition is met.

[0988] As an embodiment, the first condition includes that there is a signal among the K signals whose reception quality is higher than the reception quality of the first signal, and the first signal is a default signal among the K signals.

[0989] As an embodiment, the K signals are arranged in sequence; the first condition includes that the K signals include two signals that satisfy the second condition, and the second condition is that the reception quality of a signal arranged at the rear is higher than the reception quality of a signal arranged at the front.

[0990] As an embodiment, it includes:

[0991] The first processor 3402 initially trains the first operation;

[0992] The initial training of the first operation is earlier than the receiving of the first signal sequence.

[0993] As an embodiment, any signal among the K signals includes multiple sub-signals, and any sub-signal included in any signal among the K signals includes at least one of PDSCH and DMRS.

[0994] As an embodiment, the first receiver 3401 receives a first DCI; wherein the first DCI schedules the first signal sequence.

[0995] Embodiment 35

[0996] Embodiment 35 illustrates a structural block diagram of a processing device used in a second node according to an embodiment of the present application; Fig.35 As shown in the attached Fig.35 In the example, the processing device 3500 in the second node includes a second transmitter 3501.

[0997] As an embodiment, the second node is a base station device.

[0998] As an embodiment, the second node is user equipment.

[0999] As an embodiment, the second node is a relay node device.

[1000] As an embodiment, the second transmitter 3501 includes at least one of {antenna 420, transmitter 418, transmit processor 416, multi-antenna transmit processor 471, controller / processor 475, memory 476} in Embodiment 4.

[1001] The second transmitter 3501 sends a first signal sequence in the same cell.

[1002] In embodiment 35, the first signal sequence includes K signals, any signal in the first signal sequence includes at least one of PDSCH and DMRS, and K is a positive integer greater than 1; the target receiver of the first signal sequence trains a first operation, and the training of the first operation depends on the reception quality of the K signals; wherein the output of the first operation includes channel information.

[1003] As an embodiment, the target receiver of the first signal sequence performs the training of the first operation only when a first condition is satisfied.

[1004] As an embodiment, the first condition includes that there is a signal among the K signals whose reception quality is higher than the reception quality of the first signal, and the first signal is a default signal among the K signals.

[1005] As an embodiment, the K signals are arranged in sequence; the first condition includes that the K signals include two signals that satisfy the second condition, and the second condition is that the reception quality of a signal arranged at the rear is higher than the reception quality of a signal arranged at the front.

[1006] As an embodiment, it includes:

[1007] an intended recipient of the first signal sequence initially trains the first operation;

[1008] The initial training of the first operation is earlier than the receiving of the first signal sequence.

[1009] As an embodiment, any signal among the K signals includes multiple sub-signals, and any sub-signal included in any signal among the K signals includes at least one of PDSCH and DMRS.

[1010] As an embodiment, the second transmitter 3501 sends a first DCI; wherein the first DCI schedules the first signal sequence.

[1011] A person of ordinary skill in the art can understand that all or part of the steps in the above method can be completed by instructing the relevant hardware through a program, and the program can be stored in a computer-readable storage medium, such as a read-only memory, a hard disk or an optical disk. Optionally, all or part of the steps in the above embodiment can also be implemented using one or more integrated circuits. Accordingly, each module unit in the above embodiment can be implemented in the form of hardware or in the form of a software function module, and the present application is not limited to any specific form of software and hardware combination. The user equipment, terminal and UE in the present application include but are not limited to drones, communication modules on drones, remote-controlled aircraft, aircraft, small aircraft, mobile phones, tablet computers, notebooks, vehicle-mounted communication equipment, wireless sensors, Internet cards, Internet of Things terminals, RFID terminals, NB-IOT terminals, MTC (Machine Type Communication, Machine Type Communication) terminals, eMTC (enhanced MTC, enhanced MTC) terminals, data cards, Internet cards, vehicle-mounted communication equipment, low-cost mobile phones, low-cost tablet computers and other wireless communication devices. The base stations or system equipment in this application include but are not limited to macrocell base stations, microcell base stations, home base stations, relay base stations, gNB (NR Node B), TRP (Transmitter Receiver Point), GNSS, relay satellites, satellite base stations, aerial base stations, RSU (Road Side Unit), drones, test equipment (such as a transceiver or signaling tester that simulates some functions of a base station), and other wireless communication equipment.

[1012] The above is only a preferred embodiment of the present application and is not intended to limit the scope of protection of the present application. Any changes and modifications made based on the embodiments described in the specification, if similar partial or complete technical effects can be obtained, should be considered obvious and fall within the scope of protection of the present invention.

Claims

1. A method in a first node for wireless communication, characterized in that: include: Receiving a first signal sequence on the same cell, the first signal sequence includes K signals, any signal in the first signal sequence includes at least one of a PDSCH and a DMRS, and K is a positive integer greater than 1; training a first operation, wherein the training of the first operation depends on reception qualities of the K signals; The output of the first operation includes channel information.

2. The method in the first node according to claim 1, characterized in that: The first node performs the training of the first operation only when a first condition is satisfied.

3. The method in the first node according to claim 2, characterized in that: The first condition includes that there is a signal among the K signals whose reception quality is higher than the reception quality of the first signal, and the first signal is a default signal among the K signals.

4. The method in the first node according to claim 2, characterized in that: The K signals are arranged in sequence; the first condition includes that the K signals include two signals that meet the second condition, and the second condition is that the reception quality of a signal arranged at the rear is higher than the reception quality of a signal arranged at the front.

5. The method in the first node according to any one of claims 1 to 4, characterized in that: include: Initially training the first operation; The initial training of the first operation is earlier than the receiving of the first signal sequence.

6. The method in the first node according to any one of claims 1 to 5, characterized in that: Any signal among the K signals includes a plurality of sub-signals, and any sub-signal included in any signal among the K signals includes at least one of a PDSCH and a DMRS.

7. The method in the first node according to any one of claims 1 to 6, characterized in that: A first DCI is received; wherein the first DCI schedules the first signal sequence.

8. A terminal, characterized in that: The terminal comprises: one or more processors and memory; The memory is coupled to the one or more processors, and the memory is used to store computer program codes, where the computer program codes include computer instructions. The one or more processors call the computer instructions to enable the terminal to execute the method according to any one of claims 1 to 7.

9. A method in a second node for wireless communication, characterized in that: include: Sending a first signal sequence on the same cell, where the first signal sequence includes K signals, any signal in the first signal sequence includes at least one of a PDSCH and a DMRS, and K is a positive integer greater than 1; The target receiver of the first signal sequence trains a first operation, the training of the first operation depends on the reception quality of the K signals; and the output of the first operation includes channel information.

10. The method in the second node according to claim 9, characterized in that: The target recipient of the first signal sequence performs the training of the first operation only when a first condition is met.

11. The method in the second node according to claim 10, characterized in that: The first condition includes that there is a signal among the K signals whose reception quality is higher than the reception quality of the first signal, and the first signal is a default signal among the K signals.

12. The method in the second node according to claim 10, characterized in that: The K signals are arranged in sequence; the first condition includes that the K signals include two signals that meet the second condition, and the second condition is that the reception quality of a signal arranged at the rear is higher than the reception quality of a signal arranged at the front.

13. The method in the second node according to any one of claims 9 to 12, characterized in that: include: Initial training of the target recipient of the first signal sequence on the first operation; The initial training of the first operation is performed before the target receiver of the first signal sequence receives the first signal sequence.

14. The method in the second node according to any one of claims 9 to 13, characterized in that: Any signal among the K signals includes a plurality of sub-signals, and any sub-signal included in any signal among the K signals includes at least one of a PDSCH and a DMRS.

15. The method in the second node according to any one of claims 9 to 14, characterized in that: Send a first DCI; wherein the first DCI schedules the first signal sequence.

16. A base station, characterized in that: The base station comprises: one or more processors and memory; The memory is coupled to the one or more processors, and the memory is used to store computer program codes, where the computer program codes include computer instructions, and the one or more processors call the computer instructions to enable the base station to perform the method according to any one of claims 9 to 15.

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