Method and apparatus for use in wireless communication nodes

Abstract

The present application discloses a method and apparatus for use in wireless communication nodes. A first receiver receives a first signal sequence on a same cell, the first signal sequence comprising K signals, and any signal in the first signal sequence including at least one of a PDSCH and a DMRS, wherein K is a positive integer greater than 1. A first processor trains a first operation, the training of the first operation depending on the reception quality of the K signals, wherein an output of the first operation comprises channel information. The present application improves the overall performance of systems, and reduces overhead.

Description

A method and apparatus in a node used for wireless communication

[0001] This application claims priority to the Chinese Patent Application No. 202410712618.4, filed on June 3, 2024, and entitled "A method and apparatus in a node used for wireless communication", the content of which is incorporated herein by reference in its entirety. TECHNICAL FIELD

[0002] 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

[0003] In conventional wireless communication, a UE (User Equipment) reports various assistance information, such as channel information, beam management related assistance information, beam failure and radio link failure related assistance information, positioning information, etc., by measuring downlink signals and / or channels. The UE can report these information, and the network device can select appropriate transmission parameters for the UE according to the UE's report, such as cell camping, MCS (Modulation and Coding Scheme), TPMI (Transmitted Precoding Matrix Indicator), TCI (Transmission Configuration Indication), etc. In addition, the UE's report can also be used to optimize network parameters, such as better cell coverage, switching base stations according to UE location, etc.

[0004] 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, the traditional measurement and reporting methods will bring a lot of redundant overhead. Therefore, in the NR (New Radio) Rel (release) 18, the research of AI (Artificial Intelligence) / ML (Machine Learning) technology is set up to explore its influence on system performance and system design. Compared with the traditional processing method, AI / ML has the characteristics of being based on training and needing to be deployed. 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

[0005] The inventors have 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.

[0006] To solve the above problems, a solution is disclosed in the present application. 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 schemes, such as traditional channel information calculation or reporting schemes. Although some AI / ML model and algorithm descriptions are involved in the description of the present application, those skilled in the art know that these descriptions are not necessary or irreplaceable for wireless cellular communication related solutions. In addition, using a unified solution for different scenarios (including but not limited to AI / ML-based schemes and traditional measurement and reporting schemes) can help reduce hardware complexity and cost. In the case of no conflict, the embodiments in any node of the present application and the features in the embodiments can be applied to any other node. In the case of no conflict, the embodiments of the present application and the features in the embodiments can be arbitrarily combined with each other.

[0007] As an embodiment, the explanation of the term (Terminology) in the present application is referred to the definition of the 3GPP specification agreement TS38 series.

[0008] As an embodiment, the explanation of the term (Terminology) in the present application is referred to the definition of the 3GPP specification agreement TS28 series.

[0009] The present application discloses a method used in a first node for wireless communication, characterized in that it comprises:

[0010] receiving a first signal sequence on a same cell, the first signal sequence comprising K signals, any signal in the first signal sequence comprising at least one of PDSCH and DMRS, the K being a positive integer greater than 1;

[0011] training a first operation, the training of the first operation depending on reception quality of the K signals;

[0012] wherein an output of the first operation comprises channel information.

[0013] As an embodiment, the problem to be solved by the present application includes: 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 comprising at least one of PDSCH and DMRS, the training of the first operation depends on the reception quality of the signals in the first signal sequence, and the above problem is solved.

[0014] As an embodiment, the benefits of the above method include: providing more diversified measurement resources, optimizing the training of the first operation, and thus improving the overall performance of the system.

[0015] As an embodiment, the benefits of the above method include: avoiding the first node obtaining the first operation from the air interface, and saving the air interface overhead.

[0016] As an embodiment, the benefits of the above method include: better adaptation of the training of the first operation to different terminals, better flexibility and forward compatibility.

[0017] As an embodiment, the benefits of the above method include: simple implementation, and good backward compatibility.

[0018] According to an aspect of the present application, the first node performs the training of the first operation only when a first condition is met.

[0019] As an embodiment, the benefits of the above method include: avoiding unnecessary training, saving overhead, and reducing power consumption.

[0020] According to an aspect of the present application, the first condition includes that the reception quality of one of the K signals is higher than the reception quality of a first signal, the first signal being a default one of the K signals.

[0021] As an embodiment, the essence of the above method includes: the first signal is generated according to a previous report or a most recent report of the first node, and the first condition reflects the quality of the previous report or the most recent report of the first node.

[0022] As an embodiment, the method has the advantage of updating the training of the first operation in time, improving system performance.

[0023] According to an aspect of the present application, the K signals are arranged in sequence; the first condition comprises that the K signals comprise two signals satisfying a second condition, and the second condition is that the received quality of a signal arranged later is higher than that of a signal arranged earlier.

[0024] As an embodiment, the method has the advantage of reflecting the expectation of the transmitter of the first signal sequence on the performance of the K signals through the ordering of the K signals, and reflecting the accuracy of the expectation through the first condition.

[0025] As an embodiment, the method has the advantage of updating the training of the first operation in time to optimize network performance.

[0026] According to an aspect of the present application, the method comprises:

[0027] initially training the first operation;

[0028] wherein the initial training of the first operation is earlier than the receiving of the first signal sequence.

[0029] As an embodiment, the method has the advantage of better adapting to different terminals, having better flexibility and forward compatibility.

[0030] According to an aspect of the present application, any signal of the K signals comprises a plurality of sub-signals, and any sub-signal of any signal of the K signals comprises at least one of PDSCH and DMRS.

[0031] As an embodiment, the method has the advantage of improving the accuracy of measurement, thereby optimizing the training of the first operation.

[0032] As an embodiment, the method has the advantage of improving the accuracy of estimation of the transmission quality of the K signals.

[0033] According to an aspect of the present application, the method comprises receiving a first DCI (Downlink Control Information); wherein the first DCI schedules the first signal sequence.

[0034] As an embodiment, the method has the advantage of simplifying signaling design.

[0035] As one embodiment, the benefits of the above method include: ensuring that the first node and the transmitter of the first signal sequence have the same understanding of the K signals.

[0036] As one embodiment, the benefits of the above method include: good backward compatibility.

[0037] According to one aspect of the present application, a terminal, characterized in that the terminal comprises:

[0038] one or more processors and a memory;

[0039] The memory is coupled to the one or more processors, and the memory is configured to store computer program codes including computer instructions, and the one or more processors are configured to invoke the computer instructions to cause the terminal to perform the method in the first node.

[0040] The present application discloses a method in a second node used for wireless communication, characterized in that comprising:

[0041] transmitting a first signal sequence on the same cell, the first signal sequence comprising K signals, any signal in the first signal sequence comprising at least one of PDSCH and DMRS, K being a positive integer greater than 1;

[0042] wherein the target receiver of the first signal sequence trains a first operation, the training of the first operation depending on the reception quality of the K signals; the output of the first operation comprising channel information.

[0043] According to one aspect of the present application, characterized in that the target receiver of the first signal sequence performs the training of the first operation only when a first condition is met.

[0044] According to one aspect of the present application, characterized in that the first condition includes that the reception quality of one signal in the K signals is higher than the reception quality of a first signal, the first signal being a default one in the K signals.

[0045] According to one aspect of the present application, characterized in that the K signals are arranged in sequence; the first condition includes that the K signals include two signals satisfying a second condition, the second condition being that the reception quality of a signal arranged later is higher than the reception quality of a signal arranged earlier.

[0046] According to one aspect of the present application, characterized in that comprising:

[0047] the target receiver of the first signal sequence initially trains the first operation;

[0048] wherein the initial training of the first operation is earlier than a target receiver of the first signal sequence receiving the first signal sequence.

[0049] According to an aspect of the present application, any of the K signals comprises a plurality of sub-signals, and any of the sub-signals comprised by any of the K signals comprises at least one of PDSCH and DMRS.

[0050] According to an aspect of the present application, a first DCI is transmitted, wherein the first DCI schedules the first signal sequence.

[0051] According to an aspect of the present application, a base station comprises:

[0052] one or more processors and a memory;

[0053] The memory is coupled to the one or more processors, and the memory is configured to store computer program codes including computer instructions, and the one or more processors are configured to invoke the computer instructions to cause the base station to perform the method in the second node.

[0054] The present application discloses a first node used for wireless communication, comprising:

[0055] a first receiver configured to receive a first signal sequence on a same cell, the first signal sequence comprising K signals, any of the first signal sequence comprising at least one of PDSCH and DMRS, the K being a positive integer greater than 1;

[0056] a first processor configured to train a first operation, the training of the first operation depending on reception quality of the K signals;

[0057] wherein an output of the first operation comprises channel information.

[0058] The present application discloses a second node used for wireless communication, comprising:

[0059] a second transmitter configured to transmit a first signal sequence on a same cell, the first signal sequence comprising K signals, any of the first signal sequence comprising at least one of PDSCH and DMRS, the K being a positive integer greater than 1;

[0060] wherein a target receiver of the first signal sequence trains a first operation, the training of the first operation depending on reception quality of the K signals, and an output of the first operation comprises channel information.

[0061] As an embodiment, compared with the conventional scheme, the present application has the following advantages:

[0062] The overall performance of the system is improved;

[0063] The overhead is saved;

[0064] Better flexibility and forward compatibility;

[0065] Good backward compatibility;

[0066] Simplify the signaling design. BRIEF DESCRIPTION OF DRAWINGS

[0067] Other features, objects and advantages of the present application will become more apparent from the following detailed description of non-limiting embodiments with reference to the attached drawings:

[0068] Fig. 1 shows a flowchart of a first signal sequence and a first operation according to an embodiment of the present application;

[0069] Fig. 2 shows a schematic diagram of a network architecture according to an embodiment of the present application;

[0070] Fig. 3 shows a schematic diagram of an embodiment of a radio protocol architecture for the user plane and control plane according to an embodiment of the present application;

[0071] Fig. 4 shows a schematic diagram of a first communication device and a second communication device according to an embodiment of the present application;

[0072] Fig. 5 shows a flowchart of a transmission according to an embodiment of the present application;

[0073] Fig. 6 shows a schematic diagram of a first operation and a first CSI according to an embodiment of the present application;

[0074] Fig. 7 shows a schematic diagram of a first CSI and a second CSI according to an embodiment of the present application;

[0075] Fig. 8 shows a schematic diagram of a first signal sequence depending on a second CSI according to an embodiment of the present application;

[0076] Fig. 9 shows a schematic diagram of a first signal sequence depending on a second CSI according to an embodiment of the present application;

[0077] Fig. 10 shows a schematic diagram of a first signal sequence depending on a second CSI according to an embodiment of the present application;

[0078] Fig. 11 shows a schematic diagram of a training of a first node performing a first operation only when a first condition is fulfilled according to an embodiment of the present application;

[0079] FIG. 12 shows a schematic diagram of a first condition according to one embodiment of the application;

[0080] FIG. 13 shows a schematic diagram of the first condition being satisfied according to one embodiment of the application;

[0081] FIG. 14 shows a schematic diagram of the first condition being satisfied according to one embodiment of the application;

[0082] FIG. 15 shows a schematic diagram of the first condition according to one embodiment of the application;

[0083] FIG. 16 shows a schematic diagram of the first condition being satisfied according to one embodiment of the application;

[0084] FIG. 17 shows a schematic diagram of the first condition according to one embodiment of the application;

[0085] FIG. 18 shows a schematic diagram of the first condition and a second condition according to one embodiment of the application;

[0086] FIG. 19 shows a schematic diagram of the first condition and a third condition according to one embodiment of the application;

[0087] FIG. 20 shows a schematic diagram of K signals being arranged in sequence according to one embodiment of the application;

[0088] FIG. 21 shows a schematic diagram of K signals being arranged in sequence according to one embodiment of the application;

[0089] FIG. 22 shows a schematic diagram of K signals being arranged in sequence according to one embodiment of the application;

[0090] FIG. 23 shows a schematic diagram of any of the K signals including a plurality of sub-signals according to one embodiment of the application;

[0091] FIG. 24 shows a schematic diagram of any of the K signals including a plurality of sub-signals according to one embodiment of the application;

[0092] FIG. 25 shows a schematic diagram of a first DCI scheduling a first sequence of signals according to one embodiment of the application;

[0093] FIG. 26 shows a schematic diagram of K DCIs respectively scheduling K signals according to one embodiment of the application;

[0094] FIG. 27 shows a schematic diagram of an initial training first operation according to one embodiment of the application;

[0095] FIG. 28 shows a schematic diagram of an artificial intelligence or machine learning based processing system according to one embodiment of the application;

[0096] FIG. 29 shows a schematic diagram of AI based on artificial intelligence or machine learning, according to one embodiment of the present application;

[0097] FIG. 30 shows a schematic diagram of AI function deployment, according to one embodiment of the present application;

[0098] FIG. 31 shows a schematic diagram of AI function deployment, according to one embodiment of the present application;

[0099] FIG. 32 shows a schematic diagram of AI function deployment, according to one embodiment of the present application;

[0100] FIG. 33 shows a schematic diagram of AI function deployment, according to one embodiment of the present application;

[0101] FIG. 34 shows a structural block diagram of a processing device for use in a first node, according to one embodiment of the present application;

[0102] FIG. 35 shows a structural block diagram of a processing device for use in a second node, according to one embodiment of the present application. DETAILED DESCRIPTION

[0103] The technical solutions of the present application will be further described in detail below with reference to the accompanying drawings. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other arbitrarily without conflict. Based on the considerations of flexibility, complexity, cost and compatibility, the person skilled in the art has the motivation to combine the embodiments in different drawings flexibly without conflict, for example, but not limited to, the embodiments in FIG. 1 and the embodiments in FIGS. 5-33, the embodiments in FIG. 5 and the embodiments in FIGS. 6-33, etc.

[0104] Embodiment 1

[0105] Embodiment 1 shows a flowchart of a first signal sequence and a first operation, according to one embodiment of the present application, as shown in FIG. 1. In 100 shown in FIG. 1, each block represents a step. In particular, the order of the steps in the blocks does not represent a specific time sequence between the steps.

[0106] In embodiment 1, the first node in the present application receives a first signal sequence on the same cell in step 101, the first signal sequence includes K signals, any signal in the first signal sequence includes at least one of PDSCH and DMRS, K is a positive integer greater than 1; in step 102, a first operation is trained, 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.

[0107] As one embodiment, the same cell is a serving cell of the first node.

[0108] As one 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.

[0109] As one embodiment, the first signal sequence comprises a baseband signal.

[0110] As one embodiment, the first signal sequence comprises a wireless signal.

[0111] As one embodiment, the first signal sequence comprises a radio frequency signal.

[0112] As one embodiment, one or more signals in the first signal sequence comprise a PDSCH (Physical Downlink Shared Channel).

[0113] As one embodiment, one or more signals in the first signal sequence comprise a DMRS (Demodulation Reference Signal).

[0114] As one embodiment, any signal in the first signal sequence comprises a PDSCH.

[0115] As one embodiment, any signal in the first signal sequence comprises a DMRS.

[0116] As one embodiment, any signal in the first signal sequence comprises a PDSCH and a DMRS.

[0117] As one embodiment, the DMRS comprises a DMRS port.

[0118] As one embodiment, the K signals are mutually orthogonal in time domain.

[0119] As one embodiment, the K signals are mutually orthogonal in frequency domain.

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

[0121] As one embodiment, two signals in the K signals completely overlap in time-frequency domain.

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

[0123] As one embodiment, any two of the K signals completely overlap in time-frequency domain.

[0124] As one embodiment, at least two of the K signals occupy at least one same RE (Resource Element).

[0125] As one embodiment, the K signals comprise K layers of one PDSCH.

[0126] As one embodiment, the K signals are K layers of one PDSCH.

[0127] As one embodiment, the layer refers to MIMO (Multiple Input Multiple Output) layer.

[0128] As one embodiment, the layer refers to transmission layer.

[0129] As one embodiment, the K signals are respectively scheduled by K DCIs.

[0130] As one embodiment, the K signals are scheduled by one DCI.

[0131] As one embodiment, the K signals respectively comprise K PDSCHs scheduled by one DCI.

[0132] As one embodiment, the K signals respectively comprise K PDSCH transmission occasions scheduled by one DCI.

[0133] As one embodiment, the K signals respectively comprise K PDSCH transmission occasions configured by one SPS (Semi-Persistent Scheduling).

[0134] As one embodiment, the K signals respectively comprise K layers of one PDSCH scheduled by one DCI.

[0135] As one embodiment, the K signals have same HARQ (Hybrid automatic repeat request) process number.

[0136] As one embodiment, the K signals have HARQ process numbers increasing in sequence.

[0137] As an embodiment, the K signals are arranged in sequence, and a HARQ process number of any signal of the K signals except a signal arranged in the front is a HARQ process number of a previous signal plus 1 and then taking a first integer modulo.

[0138] As an embodiment, the first integer is a positive integer multiple of 2.

[0139] As an embodiment, the first integer is equal to 8.

[0140] As an embodiment, the first integer is equal to 16.

[0141] As an embodiment, the first integer is equal to 32.

[0142] As an embodiment, the first integer is equal to 64.

[0143] As an embodiment, the first integer is not required to be configured.

[0144] As an embodiment, the first integer is configured by a higher layer parameter.

[0145] As an embodiment, HARQ process numbers of the K signals are respectively indicated.

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

[0147] As an embodiment, the K signals are arranged in sequence in the first signal sequence.

[0148] As an embodiment, the first signal sequence is composed of the K signals.

[0149] As an embodiment, each of the K signals depends on a precoding matrix.

[0150] As an embodiment, each of the K signals is precoded by a precoding matrix.

[0151] As an embodiment, there is a signal of the K signals depending on a non-codebook-based precoding matrix.

[0152] As an embodiment, the non-codebook-based precoding matrix is based on artificial intelligence or machine learning.

[0153] As an embodiment, the non-codebook-based precoding matrix is based on AI (Artificial Intelligence).

[0154] As an embodiment, the non-codebook-based precoding matrix is obtained by an AI-based manner.

[0155] As one embodiment, the non-codebook-based precoding matrix is different from a precoding matrix defined in 3GPP Rel-18 or earlier releases.

[0156] As one embodiment, the AI includes ML (Machine Learning).

[0157] As one embodiment, the AI includes AI and ML.

[0158] As one embodiment, the AI includes AI or ML.

[0159] As one embodiment, one of the K signals depends on a codebook-based precoding matrix.

[0160] As one embodiment, the codebook refers to a precoding codebook defined in 3GPP Rel-18 or earlier releases.

[0161] As one embodiment, the codebook refers to a codebook defined in section 5.2.2.2 of 3GPP TS 38.214.

[0162] As one embodiment, the codebook refers to a codebook defined in section 5.2.2.2 of 38.214 of 3GPP Rel-18 or earlier releases.

[0163] As one embodiment, precoding matrices of any two of the K signals are different.

[0164] As one embodiment, the K signals are sequentially arranged, and the transmitter of the first signal sequence sequentially arranges the K signals according to an expectation of transmission quality of the K signals.

[0165] As one sub-embodiment of the above embodiment, the transmitter of the first signal sequence sequentially arranges the K signals from high to low according to an expectation of transmission quality of the K signals.

[0166] As one embodiment, the first operation is based on training.

[0167] As one embodiment, the first operation is obtained through training.

[0168] As one embodiment, training for obtaining the first operation is performed by the first node.

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

[0170] As one embodiment, the first operation includes AI inference.

[0171] As one embodiment, the first operation comprises AI inference for CSI (Channel State Information).

[0172] As one embodiment, the first operation comprises AI inference for CSI prediction / estimation / compression.

[0173] As one embodiment, the first operation is performed by an AI entity deployed at the first node.

[0174] As one embodiment, the first operation is performed by an AI function deployed at the first node.

[0175] As one embodiment, the AI function comprises an AI inference function.

[0176] As one embodiment, the AI function comprises an AI training function.

[0177] As one embodiment, the AI function comprises an AI management function.

[0178] As one embodiment, the first operation is required for deployment.

[0179] As one embodiment, the first operation is obtained by loading.

[0180] As one embodiment, the first operation is based on artificial intelligence or machine learning.

[0181] As one embodiment, the first operation is based on neural networks.

[0182] As one embodiment, the first operation comprises neural network based CSI compression, CSI prediction or beam management.

[0183] As one embodiment, the first operation comprises CNN (Convolutional Neural Networks) based CSI compression, CSI prediction or beam management.

[0184] As one embodiment, the first operation comprises a neural network or CNN based encoder for CSI compression.

[0185] As one embodiment, the first operation comprises one or more of convolution, pooling, concatenation and activation.

[0186] As one embodiment, the first operation includes a fully connected layer.

[0187] As one embodiment, the first operation includes a pooling layer.

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

[0189] As one embodiment, the first operation includes at least one encoding layer.

[0190] As one embodiment, an encoding layer includes at least one convolution layer and a pooling layer.

[0191] As one embodiment, in a convolution layer, at least one convolution kernel is used to convolve an input to generate a corresponding feature map, at least one feature map output by the convolution layer is reshaped into a vector input to a fully connected layer; the fully connected layer converts the one vector into an output.

[0192] As one embodiment, some or all of the convolution kernel size, the number of convolution layers, the convolution step, the pooling kernel size, the pooling kernel step, the pooling function, the activation function, and the number of feature maps of the first operation are obtained through training.

[0193] As one embodiment, some or all of the convolution kernel, the pooling kernel, the pooling function, the activation function, the parameters of the pooling function, and the parameters of the activation function of the first operation are obtained through training.

[0194] As one embodiment, the first node is a producer of the first operation.

[0195] As one embodiment, the first node is a producer of the training of the first operation.

[0196] As one embodiment, the first node is a producer of the retraining of the first operation.

[0197] As one embodiment, the first node is an MnS (Management Service) producer.

[0198] As one embodiment, the first node is an MnS producer of ML training.

[0199] As one embodiment, the training refers to retraining.

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

[0201] As one embodiment, the training of the first operation is performed by an AI function deployed at the first node.

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

[0203] As one embodiment, the training of the first operation is performed by an AI entity deployed at the first node.

[0204] As one embodiment, the training of the first operation is performed by an MnS producer.

[0205] As one embodiment, the training of the first operation is performed by an MDA function.

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

[0207] As one embodiment, the training of the first operation is performed by a NWDAF.

[0208] As one embodiment, the training comprises ML training.

[0209] As one embodiment, the training is ML training.

[0210] As one embodiment, the training of the first operation depends on a reception quality of the K signals.

[0211] As one embodiment, whether the training of the first operation is performed depends on a reception quality of the K signals.

[0212] As one embodiment, the training of the first operation depends on the first condition.

[0213] As one embodiment, the training of the first operation depends on whether the first condition is met.

[0214] As one embodiment, whether the training of the first operation is performed depends on whether the first condition is met.

[0215] As one embodiment, whether the first condition is met is used by the first node to determine whether to train the first operation.

[0216] As one embodiment, the first node trains the first operation if the first condition is met.

[0217] As one embodiment, the first node does not train the first operation if the first condition is not met.

[0218] As one embodiment, the training of the first operation is triggered when the first condition is satisfied.

[0219] As one embodiment, the first node trains the first operation when the first condition is satisfied.

[0220] As one embodiment, the first node trains the first operation only when the first condition is satisfied.

[0221] As one embodiment, the first condition comprises that a received quality of one signal in the K signals is higher than a received quality of a first signal, the first signal being a default one in the K signals.

[0222] As one embodiment, the first condition comprises that the K signals comprise two signals satisfying a second condition, the second condition being that a received quality of a later one is higher than a received quality of an earlier one; the K signals are arranged in sequence.

[0223] As one embodiment, the first condition comprises that a gap between a received quality of a first given signal and a received quality of a second given signal is greater than a first given threshold; the first given signal being a highest one in the K signals in terms of received quality, the second given signal being a second highest one in the K signals in terms of received quality; the first given threshold being configurable.

[0224] As one embodiment, an input of the training of the first operation depends on received qualities of the K signals.

[0225] As one embodiment, the received qualities of the K signals are used as an input of the training of the first operation.

[0226] As one embodiment, the received qualities of the K signals are used for determining an input of the training of the first operation.

[0227] As one embodiment, the input of the training of the first operation comprises a received quality of at least one signal in the K signals.

[0228] As one embodiment, the input of the training of the first operation comprises received qualities of the K signals.

[0229] As one embodiment, the received qualities of the K signals are part of training data of the training of the first operation.

[0230] As one embodiment, the received quality comprises a received power.

[0231] As one embodiment, the K signals respectively comprise DMRS, and the reception quality comprises a received power of the DMRS.

[0232] As one embodiment, the reception quality comprises RSRP (Reference Signal Received Power).

[0233] As one embodiment, the reception quality comprises L1-RSRP.

[0234] As one embodiment, the reception quality comprises SINR (Signal-to-noise and interference ratio).

[0235] As one embodiment, the reception quality comprises L1-SINR.

[0236] As one embodiment, the reception quality comprises BLER (Block Error Rate).

[0237] As one embodiment, the reception quality comprises constellation point error.

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

[0239] As one embodiment, the constellation point error refers to an average distance between a received symbol and nearest constellation points in a constellation diagram.

[0240] As one embodiment, the reception quality comprises LLR (log-likelihood ratio).

[0241] As one embodiment, the K signals respectively comprise PDSCH, and the LLR is a channel decoding generated LLR.

[0242] As one embodiment, the LLR is an average LLR.

[0243] As one embodiment, the reception quality comprises received power, RSRP or SINR, and one reception quality is higher than another reception quality or a threshold value refers to that the one reception quality is greater than the another reception quality or the one threshold value.

[0244] As one embodiment, the reception quality comprises BLER or constellation point error, and one reception quality is higher than another reception quality or a threshold value refers to that the one reception quality is less than the another reception quality or the one threshold value.

[0245] As one embodiment, the reception quality comprises LLR, one reception quality is higher than another reception quality or a threshold means that the absolute value of the one reception quality is greater than the absolute value of the another reception quality or the one threshold.

[0246] As one embodiment, the reception quality comprises RSRP or SINR, one reception quality is lower than another reception quality or a threshold means that the one reception quality is less than the another reception quality or the one threshold.

[0247] As one embodiment, the reception quality comprises BLER or constellation point error, one reception quality is lower than another reception quality or a threshold means that the one reception quality is greater than the another reception quality or the one threshold.

[0248] As one embodiment, the reception quality comprises LLR, one reception quality is lower than another reception quality or a threshold means that the absolute value of the one reception quality is less than the absolute value of the another reception quality or the one threshold.

[0249] As one embodiment, the channel information comprises CSI.

[0250] As one embodiment, the benefit of the above method comprises improving the accuracy of CSI.

[0251] As one embodiment, the channel information comprises channel impulse response.

[0252] As one embodiment, the channel information comprises 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 and TDCP (Time Domain Channel Properties).

[0253] As one embodiment, the channel information comprises small-scale properties.

[0254] As one embodiment, the channel information comprises a channel parameter.

[0255] As one embodiment, the channel information comprises a precoding matrix.

[0256] As one embodiment, the channel information comprises a channel matrix.

[0257] As one embodiment, the channel matrix is in spatial-frequency domain.

[0258] As one embodiment, the channel matrix is in angular-delay domain projection.

[0259] As one embodiment, the channel information comprises an eigenvector.

[0260] As one embodiment, the channel information comprises an eigenvector and an eigenvalue.

[0261] As one embodiment, the channel information comprises one or more columns of a basis matrix.

[0262] As one embodiment, the basis matrix comprises a DFT matrix.

[0263] As one embodiment, the basis matrix spans a space.

[0264] As one 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.

[0265] As one embodiment, the columns of the basis matrix are linearly independent from each other.

[0266] As one embodiment, the columns of the basis matrix are orthogonal to each other.

[0267] As one embodiment, the basis matrix is full rank.

[0268] As one embodiment, the modulus of any two columns of the basis matrix are equal.

[0269] As one embodiment, the channel information comprises a channel experienced by a signal transmitted on one or more antenna ports.

[0270] As one embodiment, the channel information comprises one or more of a relative phase, a relative amplitude, or a relative coefficient between at least two antenna ports.

[0271] As one embodiment, the channel information comprises compressed CSI.

[0272] As one embodiment, the compressed CSI is non-codebook based.

[0273] As one embodiment, the compressed CSI is neither defined in 3GPP Rel-18 nor in previous releases.

[0274] As one embodiment, the target receiver of the compressed CSI is unaware of the channel parameters recovered from the compressed CSI by the first node.

[0275] As one embodiment, the compressed CSI is artificial intelligence or machine learning based CSI.

[0276] As one embodiment, the compressed CSI is neural network based CSI.

[0277] As one embodiment, the compressed CSI is CNN (Conventional Neural Networks) based CSI.

[0278] As one embodiment, the channel information comprises predicted / estimated CSI.

[0279] As one embodiment, the channel information comprises interference information and / or noise information.

[0280] As one embodiment, the interference information comprises one or more of interference power, interference variance, or interference power spectral density.

[0281] As one embodiment, the channel information comprises BLER.

[0282] As one embodiment, the channel information is used to generate or recover channel parameters.

[0283] As one embodiment, the channel information comprises information used to generate or recover channel parameters.

[0284] As one embodiment, the channel parameters comprise channel matrices.

[0285] As one embodiment, the channel parameters comprise raw channel matrices.

[0286] As one embodiment, the channel parameters comprise channels experienced by signals transmitted on one or more antenna ports.

[0287] As one embodiment, the channel parameters comprise eigenvectors.

[0288] As one embodiment, the channel parameter comprises an eigenvalue.

[0289] As one embodiment, the channel parameter comprises a precoding matrix.

[0290] As one embodiment, the channel parameter comprises one or more columns of a basis matrix.

[0291] As one embodiment, the channel parameter comprises one or more of a relative phase, a relative amplitude, or a relative coefficient between at least two antenna ports.

[0292] Embodiment 2

[0293] Embodiment 2 illustrates a schematic diagram of a network architecture according to one embodiment of the present application, as shown in FIG. 2.

[0294] FIG. 2 illustrates a network architecture 200. 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 in 3GPP future continued evolution; the network architecture 200 can be referred to as 5GS (5G System) / EPS (Evolved Packet System), or the network architecture 200 can be referred to as 6GS (6G System); the network architecture 200 includes at least one of a UE (User Equipment) 201, a RAN (Radio Access Network) 202, a core network 210, a HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and an Internet service 230. The network architecture 200 can be interconnected with other access networks, but these entities / interfaces are not shown for simplicity. As illustrated, the network architecture 200 provides packet-switched services, however, those skilled in the art will readily appreciate that the various concepts presented throughout this application are amenable to use with networked or other wireless communication systems, providing circuit-switched service. The RAN includes a node 203. The RAN can also include other nodes 204. The node 203 provides user and control plane protocol terminations toward the UE 201. The node 203 can be connected to the other nodes 204 via an Xn interface (e.g., backhaul) / X2 interface. The node 203 can 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 (Transmission Reception Point), or some other suitable terminology. The core network 210 is a 5GC (5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is a 6GC; the node 203 provides access to the core network 210 for the UE 201.Examples of UE 201 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, aerial vehicles, narrowband internet of things devices, machine type communication devices, land vehicles, automobiles, wearable devices, or any other similar functional device. Those skilled in the art will also The node 203 is connected by an SI / NG interface to the core network 210. The core network 210 includes a MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MME / AMF / SMF 214, a S-GW (Service Gateway) / UPF (User Plane Function) 212, and a P-GW (Packet Data Network Gateway) / UPF 213. The MME / AMF / SMF 211 is the control node that processes the signaling between the UE 201 and the core network 210. Generally, the MME / AMF / SMF 211 provides bearer and connection management. All user IP (Internet Protocal) packets are transferred through the S-GW / UPF 212, which itself is connected to the P-GW / UPF 213. The P-GW provides UE IP address allocation as well as other functions. The P-GW / UPF 213 is connected to the Internet services 230. The Internet services 230 include operator corresponding Internet protocol services, which can specifically include the Internet, an intranet, an IMS (IP Multimedia Subsystem), and a packet switching service.

[0295] As one embodiment, the first node in the present application includes the UE 201.

[0296] As one embodiment, the second node in this application comprises the node 203.

[0297] As one embodiment, the wireless link between the UE 201 and the node 203 comprises a cellular network link.

[0298] As one embodiment, the sender of the first signal sequence comprises the node 203.

[0299] As one embodiment, the receiver of the first signal sequence comprises the UE 201.

[0300] As one embodiment, the sender of the first DCI comprises the node 203.

[0301] As one embodiment, the receiver of the first DCI comprises the UE 201.

[0302] Embodiment 3

[0303] Embodiment 3 illustrates a schematic diagram of an embodiment of a radio protocol architecture for the user plane and control plane, according to one embodiment of the present application, as shown in FIG. 3.

[0304] Embodiment 3 shows a schematic diagram of an embodiment of a user plane and control plane wireless protocol architecture according to the present application, as shown in Figure 3. Figure 3 is a schematic diagram illustrating an embodiment of a radio protocol architecture for the user plane 350 and the control plane 300, Figure 3 shows the radio protocol architecture for the control plane 300 between the first communication node device (UE, gNB or RSU in V2X (Vehicle-to-Everything)) and the second communication node device (gNB, UE or RSU in V2X) or between two UEs, with three layers: Layer 1, Layer 2, and Layer 3. Layer 1 (LI layer) is the lowest layer and implements various PHY (Physical layer) signal processing functions. The LI layer will be referred to in this document as the PHY 301. Layer 2 (L2 layer) 305 is above the PHY 301 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, a RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate the functions of 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 functions, such as ciphering of the data packets, and header compression. 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 the various radio resources (e.g., resource blocks) in one cell among the UEs. 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 layers using RRC signaling between the second communication node device and the first communication node device.The radio protocol architecture for the user plane 350 comprises Layer 1 (LI layer) and Layer 2 (L2 layer), which are substantially the same 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 for the first communication node device and the second communication node device in the user plane 350 as the corresponding layers and sublayers in the control plane 300, but the PDCP sublayer 354 also provides header compression for upper layer data packets to reduce radio transmission overhead. Also included in the L2 layer 355 in the user plane 350 is the SDAP (Service Data Adaptation Protocol) sublayer 356, which is responsible for mapping between QoS (Quality of Service) flows and data radio bearers (DRBs) to support diverse traffic.

[0305] As one embodiment, the wireless protocol architecture in FIG. 3 is applicable to the first node in the present application.

[0306] As one embodiment, the wireless protocol architecture in FIG. 3 is applicable to the second node in the present application.

[0307] As one embodiment, the higher layer in the present application refers to layers above the physical layer.

[0308] As one embodiment, the first signal sequence is generated at the PHY 301 or the PHY 351.

[0309] As one embodiment, the first DCI is generated at the PHY 301 or the PHY 351.

[0310] Embodiment 4

[0311] Embodiment 4 illustrates a schematic diagram of a first communication device and a second communication device according to one embodiment of the present application, as shown in FIG. 4. FIG. 4 is a block diagram of a first communication device 410 and a second communication device 450 that communicate with each other in an access network.

[0312] 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.

[0313] 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 antennas 452.

[0314] In the transmission from the first communication device 410 to the second communication device 450, at the first communication device 410, upper layer packets from a core network are provided to the controller / processor 475. The controller / processor 475 implements functionality of the L2 layer. In the DL (DownLink), the controller / processor 475 provides header compression, ciphering, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocations for 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 LI layer (i.e., physical layer). The transmit processor 416 implements coding and interleaving to facilitate forward error correction (FEC) at the second communication device 450, and 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 encoded and modulated symbols, including codebook-based precoding and non-codebook-based precoding, and beamforming processing, generating one or more parallel streams. The transmit processor 416 then maps to each of the parallel streams to the subcarriers, multiplexes the modulated symbols with reference signals (e.g., pilot) in time domain and / or frequency domain, and then performs an inverse fast Fourier transform (IFFT) to generate time domain multi-carrier symbol streams. The multi-antenna transmit processor 471 then performs transmit analog precoding / beamforming operations on the time domain multi-carrier symbol streams. Each transmitter 418 converts the baseband multi-carrier symbol streams provided by the multi-antenna transmit processor 471 into radio frequency streams, and then provides the radio frequency streams to the different antennas 420.

[0315] In 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 respective antenna 452. Each receiver 454 recovers information modulated onto an RF carrier and converts the RF stream into a baseband, multicarrier symbol stream to receive processor 456. The receive processor 456 and the multi-antenna receive processor 458 implement various signal processing functions of the L1 layer. The multi-antenna receive processor 458 performs receive analog precoding / beamforming operation on the baseband, multicarrier symbol stream from the receivers 454. The receive processor 456 converts the baseband, multicarrier symbol stream from the receive analog precoding / beamforming operation from the time domain to the frequency domain using a Fast Fourier Transform (FFT). In the frequency domain, the physical layer data signals and the reference signals are demultiplexed by the receive processor 456, where the reference signals will be used for channel estimation, and the data signals are recovered after multi-antenna detection in the multi-antenna receive processor 458 for any parallel streams destined to the second communication device 450. The symbols on each parallel stream are demodulated and recovered in the receive processor 456 and generate soft decisions. The receive processor 456 then decodes and de-interleaves the soft decisions to recover the upper layer data and control signals transmitted by the first communication device 410 on the physical channels. 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 can be associated with a memory 460 that stores program codes and data. The memory 460 can be referred to as a computer-readable medium. In the DL, the controller / processor 459 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover 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 can also be provided to the L3 for L3 processing. The controller / processor 459 is also responsible for error detection using an ACK and / or negative ACK (NACK) protocol to support HARQ operations.

[0316] 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 packets to a controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmit function described at the first communication device 410 in the DL, the controller / processor 459 implements header compression, ciphering, packet segmentation and reordering, and multiplexing between logical and transport channels based on radio resource allocations for the first communication device 410, implements L2 layer functionality for the user plane and control plane. The controller / processor 459 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the first communication device 410. A transmit processor 468, under direction of the controller / processor 459, performs modulation mapping, channel coding processing, and a multi-antenna transmit processor 457 performs digital multi-antenna spatial processing, including codebook-based and non-codebook-based precoding, and beamforming processing, and then the transmit processor 468 modulates the generated parallel streams into multiple carrier / singular carrier symbol streams, which are then processed by the analog precoding / beamforming operation in the multi-antenna transmit processor 457 and provided to the different antennas 452 via the transmitters 454. Each transmitter 454 first converts the baseband symbol stream into a radio frequency signal and then provides it to the antennas 452.

[0317] In the transmission from the second communication device 450 to the first communication device 410, the functionality at the first communication device 410 is similar to the functionality described in connection with the reception at the second communication device 450 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 respective antenna 420, converts the received radio frequency signal into a baseband signal, and provides the baseband signal to a multi-antenna receive processor 472 and a receive processor 470. The receive processor 470 and the multi-antenna receive processor 472 together implement the functionality of the L1 layer. A controller / processor 475 implements the functionality of the L2 layer. 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 transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover upper layer packets from the second communication device 450. Upper layer packets from the controller / processor 475 can be provided to a core network. The controller / processor 475 is also responsible for error detection using an ACK and / or NACK (negative acknowledgement) protocol to support HARQ operations.

[0318] As one embodiment, the second communication device 450 comprises: at least one processor and at least one memory including a computer program code; the at least one memory and the computer program code are configured to, with the at least one processor, cause the performance of the following: receiving a first signal sequence on a same cell, the first signal sequence comprising K signals, any signal of the first signal sequence comprising at least one of PDSCH and DMRS, the K being a positive integer greater than 1; training a first operation, the training of the first operation depending on reception quality of the K signals; wherein an output of the first operation comprises channel information.

[0319] As one embodiment, the second communication device 450 comprises: a memory storing a computer readable program of instructions which, when executed by at least one processor, causes the performance of the following: receiving a first signal sequence on a same cell, the first signal sequence comprising K signals, any signal of the first signal sequence comprising at least one of PDSCH and DMRS, the K being a positive integer greater than 1; training a first operation, the training of the first operation depending on reception quality of the K signals; wherein an output of the first operation comprises channel information.

[0320] As one embodiment, the first communication device 410 comprises: at least one processor and at least one memory including a computer program code; the at least one memory and the computer program code are configured to, with the at least one processor, cause the performance of the following: transmitting a first signal sequence on a same cell, the first signal sequence comprising K signals, any signal of the first signal sequence comprising at least one of PDSCH and DMRS, the K being a positive integer greater than 1; a target receiver of the first signal sequence training a first operation, the training of the first operation depending on reception quality of the K signals; wherein an output of the first operation comprises channel information.

[0321] As one embodiment, the first communication device 410 comprises: a memory storing a computer readable program of instructions which, when executed by at least one processor, causes the performance of the following: transmitting a first signal sequence on a same cell, the first signal sequence comprising K signals, any signal of the first signal sequence comprising at least one of PDSCH and DMRS, the K being a positive integer greater than 1; a target receiver of the first signal sequence training a first operation, the training of the first operation depending on reception quality of the K signals; wherein an output of the first operation comprises channel information.

[0322] As one embodiment, the first node in the present application comprises the second communication device 450.

[0323] As one embodiment, the second node in the present application comprises the first communication device 410.

[0324] As one 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, the data source 467} is used to receive the first signal sequence in the present application; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, the memory 476} is used to transmit the first signal sequence in the present application.

[0325] As one 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, the data source 467} is used to receive the first DCI in the present application; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, the memory 476} is used to transmit the first DCI in the present application.

[0326] Embodiment 5

[0327] Embodiment 5 illustrates a flowchart of transmission according to one embodiment of the present application, as shown in FIG. 5. In FIG. 5, the first node U01 and the second node N02 are two communication nodes for transmission through an air interface, respectively, wherein the steps in the dashed box are optional, respectively.

[0328] For the first node U01, the first operation is initially trained in step S5101; the first operation is deployed in step S5102; the first configuration information block is received in step S5103; the first operation is executed in step S5104; the first CSI is transmitted in step S5105; the first DCI is received in step S5106; the first signal sequence is received on the same cell in step S5107; the first operation is trained in step S5108; the first operation is redeployed in step S5109.

[0329] For the second node N02, in step S5201, the second operation is trained; in step S5202, the first configuration information block is sent; in step S5203, the first CSI is received; in step S5204, the second operation is performed; in step S5205, the first DCI is sent; in step S5206, the first signal sequence is sent on the same cell; in step S5207, the second operation is retrained.

[0330] 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, the 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.

[0331] As an embodiment, the first node U01 is the first node in the present application.

[0332] As an embodiment, the second node N02 is the second node in the present application.

[0333] 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.

[0334] 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.

[0335] As an embodiment, the air interface between the second node N02 and the first node U01 includes a wireless interface between a user equipment and a user equipment.

[0336] As an embodiment, the second node N02 is a serving cell maintaining base station of the first node U01.

[0337] As an embodiment, the step in the dashed box F54 in FIG. 5 exists, and the method in the first node for wireless communication includes: receiving a first configuration information block.

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

[0339] As an embodiment, the receiving of the first configuration information block is later than the deployment of the first operation.

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

[0341] As one embodiment, the receiving of the first configuration information block is later than the initial training of the first operation.

[0342] As one embodiment, the first configuration information block indicates the first signal sequence.

[0343] As one embodiment, the first configuration information block is used by the first node to determine the first signal sequence.

[0344] As one embodiment, the first node determines the first signal sequence according to the first configuration information block.

[0345] As one embodiment, the first configuration information block indicates the K.

[0346] As one embodiment, the first configuration information block indicates the type of the reception quality of the K signals.

[0347] As one embodiment, the type of the reception quality refers to which of the reception quality includes received power, RSRP, SINR, constellation point error or LLR.

[0348] As one embodiment, the first configuration information block indicates the first condition.

[0349] As one embodiment, the first configuration information block is carried by higher layer signaling.

[0350] As one embodiment, the first configuration information block is carried by RRC (Radio Resource Control) signaling.

[0351] As one embodiment, the first configuration information block is carried by RRC IE (Information Element).

[0352] As one embodiment, the first configuration information block is one RRC IE.

[0353] As one embodiment, the first configuration information block includes information in one or more fields in one RRC IE.

[0354] As one embodiment, the first configuration information block includes one or more RRC IEs.

[0355] As one embodiment, the first configuration information block includes information in one or more fields in each of at least one RRC IE.

[0356] As one embodiment, the first configuration information block is carried by MAC CE.

[0357] As an embodiment, the first configuration information block is carried by RRC signaling and MAC CE jointly.

[0358] As an embodiment, the first configuration information block is transmitted on PDSCH.

[0359] As an embodiment, the step in the dashed block F54 in FIG. 5 exists, and the method in the second node for wireless communication comprises: transmitting the first configuration information block.

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

[0361] As an embodiment, the transmitting of the first configuration information block is later than the training of the second operation.

[0362] As an embodiment, the step in the dashed block F55 in FIG. 5 exists, and the method in the first node for wireless communication comprises: performing the first operation.

[0363] As an embodiment, the steps in the dashed blocks F55 and F56 in FIG. 5 both exist, and the method in the first node for wireless communication comprises: performing the first operation; transmitting the first CSI, the first CSI depending on the output of the first operation; wherein the receiving of the first signal sequence is later than the transmitting of the first CSI.

[0364] As an embodiment, the first operation is based on training.

[0365] As an embodiment, the first operation comprises inference.

[0366] As an embodiment, the first operation is needed for deployment.

[0367] As an embodiment, the first operation is based on artificial intelligence or machine learning.

[0368] As an embodiment, the first operation is associated to a first identity, and a CSI reporting configuration of the first CSI indicates the first identity.

[0369] As an embodiment, the first operation is associated to a first identity, and the first configuration information block indicates the first identity.

[0370] As an embodiment, the first CSI comprises CRI or SSBRI.

[0371] As an embodiment, the first CSI comprises RSRP or SINR.

[0372] As one embodiment, the first CSI comprises compressed CSI.

[0373] As one embodiment, the first CSI comprises precoding matrix information.

[0374] As one embodiment, the first CSI is used to determine one or more precoding matrices.

[0375] As one embodiment, the first CSI is transmitted on a PUCCH (Physical Uplink Control Channel) or a PUSCH (Physical Uplink Shared Channel).

[0376] As one embodiment, the steps in the dashed box F56 in Figure 5 are present, and the method in the second node for wireless communication comprises receiving the first CSI.

[0377] As one embodiment, the steps in the dashed boxes F56 and F57 in Figure 5 are both present, and the method in the second node for wireless communication comprises receiving the first CSI; performing a second operation, the first CSI being used as input to the second operation to generate a second CSI.

[0378] As one embodiment, the sending of the first signal sequence is later than the receiving of the first CSI

[0379] As one embodiment, the sending of the first signal sequence is later than the performing of the second operation.

[0380] As one embodiment, the second operation is an inverse operation of the first operation.

[0381] As one embodiment, the second operation is training-based.

[0382] As one embodiment, the second operation comprises inference.

[0383] As one embodiment, the second operation is based on artificial intelligence or machine learning.

[0384] As one embodiment, the second CSI comprises a recovery of at least part of the input to the first operation.

[0385] As one embodiment, the second CSI comprises a precoding matrix.

[0386] As one embodiment, the steps in the dashed box F53 in figure 5 are present, the method in the first node for wireless communication comprises deploying the first operation.

[0387] As one embodiment, the deploying of the first operation is earlier than the performing of the first operation.

[0388] As one embodiment, the deploying comprises obtaining the first operation.

[0389] As one embodiment, the deploying comprises obtaining an AI entity.

[0390] As one embodiment, the deploying comprises obtaining an AI entity performing the first operation.

[0391] As one embodiment, the deploying comprises obtaining an AI entity comprising an AI function performing the first operation.

[0392] As one embodiment, the deploying comprises loading the first operation.

[0393] As one embodiment, the deploying comprises making a request for loading the first operation.

[0394] As one embodiment, the first operation is trained by the first node.

[0395] As one embodiment, the first operation is obtained by training by the first node.

[0396] As one embodiment, the first operation is obtained from loading at the first node.

[0397] As one embodiment, the deploying is done by an AI function.

[0398] As one embodiment, the deploying is done by an AI function deployed at the first node.

[0399] As one embodiment, the deploying is done by an AI deployment function.

[0400] As one embodiment, the deploying is done by an AI deployment function deployed at the first node.

[0401] As one embodiment, the deploying is done by an AI inference function.

[0402] As one embodiment, the deploying is done by an AI inference function deployed at the first node.

[0403] As one embodiment, the deployment is done by an AI entity.

[0404] As one embodiment, the deployment is done by an AI entity deployed at the first node.

[0405] As one embodiment, the deployment is done by an AI entity having a deployment function.

[0406] As one embodiment, the deployment is done by an AI entity having a deployment function deployed at the first node.

[0407] As one embodiment, the deployment is done by an AI entity having an inference function.

[0408] As one embodiment, the deployment is done by an AI entity having an inference function deployed at the first node.

[0409] As one embodiment, the step in dashed box F51 in figure 5 is present, the method in the first node used for wireless communication comprises: initially training the first operation; wherein the initial training of the first operation is earlier than the reception of the first configuration information block.

[0410] As one embodiment, the initial training of the first operation is earlier than the reception of the first configuration information block.

[0411] As one embodiment, the initial training of the first operation is later than the reception of the first configuration information block.

[0412] As one embodiment, the initial training of the first operation is earlier than the deployment of the first operation.

[0413] As one embodiment, the initial training of the first operation is earlier than the sending of the first CSI.

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

[0415] As one embodiment, the initial training of the first operation is performed by an AI function deployed at the first node.

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

[0417] As one embodiment, the initial training of the first operation is performed by an AI entity deployed at the first node.

[0418] As one embodiment, the initial training of the first operation is performed by an MDA function (Management Data Analytics Function).

[0419] As one embodiment, the initial training of the first operation is performed by an MDAS (Management Data Analytics Service) producer.

[0420] As one embodiment, the initial training of the first operation is performed by an MnS (Management Service) producer.

[0421] As one embodiment, the initial training of the first operation is performed by a NWDAF (Network Data Analytics Function).

[0422] As one embodiment, the initial training comprises ML training.

[0423] As one embodiment, the initial training is ML training.

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

[0425] As one embodiment, the initial training of the first operation and the training are performed by the same AI entity.

[0426] As one embodiment, the step in the dashed block F52 in figure 5 is present, and the method in the second node for wireless communication comprises training the second operation; wherein the training of the second operation is earlier than the sending of the first signal sequence.

[0427] As one embodiment, the training of the second operation is earlier than the receiving of the first CSI.

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

[0429] As one embodiment, the training of the second operation is performed by an AI function deployed at the second node.

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

[0431] As one embodiment, the training of the second operation is performed by an AI entity deployed at the second node.

[0432] As one embodiment, the training of the second operation is performed by an MnS producer.

[0433] As one embodiment, the training of the second operation is performed by an MDA function.

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

[0435] As one embodiment, the training of the second operation is performed by a NWDAF.

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

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

[0438] As one 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.

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

[0440] As one embodiment, the training of the second operation and the initial training of the first operation are performed jointly.

[0441] As one embodiment, the training of the second operation relies on the result of the initial training of the first operation.

[0442] As one embodiment, the step in dashed box F59 in Figure 5 is present, and the above-described method in the second node used for wireless communication comprises: retraining the second operation.

[0443] As one embodiment, the retraining of the second operation relies on whether the first condition is met.

[0444] As one embodiment, whether the first condition is met is used by the second node to determine whether to retrain the second operation.

[0445] As one embodiment, the second node re-trains the second operation when the first condition is met.

[0446] As one embodiment, the second node re-trains the second operation only when the first condition is met.

[0447] As one embodiment, the re-training of the second operation is performed by an AI function.

[0448] As one embodiment, the re-training of the second operation is performed by an AI function deployed at the second node.

[0449] As one embodiment, the re-training of the second operation is performed by an AI entity.

[0450] As one embodiment, the re-training of the second operation is performed by an AI entity deployed at the second node.

[0451] As one embodiment, the re-training of the second operation is performed by an MnS producer.

[0452] As one embodiment, the re-training of the second operation is performed by an MDA function.

[0453] As one embodiment, the re-training of the second operation is performed by an MDAS producer.

[0454] As one embodiment, the re-training of the second operation is performed by a NWDAF.

[0455] As one embodiment, the training and the re-training of the second operation are performed by the same AI function.

[0456] As one embodiment, the training and the re-training of the second operation are performed by the same AI entity.

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

[0458] As one embodiment, the first node performs the training of the first operation only when the first condition is met.

[0459] As one embodiment, the training refers to re-training.

[0460] As one embodiment, the steps in the dashed box F510 in Figure 5 exist, the method in the first node used for wireless communication comprises: redeploying the first operation.

[0461] As one embodiment, redeploying the first operation means deploying the first operation retrained.

[0462] As one embodiment, the redeployment of the first operation depends on whether the first condition is met.

[0463] As one embodiment, whether the first condition is met is used by the first node to determine whether to redeploy the first operation.

[0464] As one embodiment, when the first condition is met, the first node redeployes the first operation.

[0465] As one embodiment, the first node redeployes the first operation only when the first condition is met.

[0466] As one embodiment, the redeployment comprises obtaining the first operation.

[0467] As one embodiment, the redeployment comprises obtaining the first operation retrained.

[0468] As one embodiment, the redeployment comprises reloading the first operation.

[0469] As one embodiment, the redeployment comprises reloading the first operation retrained.

[0470] As one embodiment, the redeployment comprises making a request to reload the first operation.

[0471] As one embodiment, the redeployment comprises receiving an instruction to redeploy the first operation.

[0472] As one embodiment, the redeployment is done by an AI function.

[0473] As one embodiment, the redeployment is done by an AI function deployed in the first node.

[0474] As one embodiment, the redeployment is done by an AI deployment function.

[0475] As one embodiment, the re-deployment is done by an AI deployment function deployed at the first node.

[0476] As one embodiment, the re-deployment is done by an AI entity.

[0477] As one embodiment, the re-deployment is done by an AI inference function.

[0478] As one embodiment, the step in the dashed box F58 in FIG. 5 exists, and the method in the first node for wireless communication comprises: receiving a first DCI; wherein the first DCI schedules the first signal sequence.

[0479] As one embodiment, the first condition comprises that the received quality of one of the K signals is higher than the received quality of a first signal, the first signal being a default one of the K signals.

[0480] As one embodiment, the K signals are arranged in sequence; and the first condition comprises that the K signals include two signals satisfying a second condition, the second condition being that the received quality of a signal arranged later is higher than the received quality of a signal arranged earlier.

[0481] As one embodiment, any of the K signals includes a plurality of sub-signals, and any of the sub-signals included in any of the K signals includes at least one of a PDSCH and a DMRS.

[0482] Embodiment 6

[0483] Embodiment 6 illustrates a schematic diagram of a first operation and a first CSI according to one embodiment of the present application; as shown in FIG. 6.

[0484] In embodiment 6, the first CSI depends on the output of the first operation.

[0485] As one embodiment, the first operation is associated with a first identifier.

[0486] As one embodiment, the first identifier is a non-negative integer.

[0487] As one embodiment, the first identifier is a string.

[0488] As one embodiment, the first operation is identified by the first identifier.

[0489] As one embodiment, an AI entity or an AI function to which the first operation belongs is identified by the first identifier.

[0490] As one embodiment, the AI function or AI entity performing the first operation is identified by the first identity.

[0491] As one embodiment, the training for obtaining the first operation is identified by the first identity.

[0492] As one embodiment, the dataset for the training of the first operation is identified by the first identity.

[0493] As one embodiment, the first configuration information block indicates the first identity.

[0494] As one embodiment, the CSI reporting configuration of the first CSI indicates the first identity.

[0495] As one embodiment, the input of the first operation includes channel measurement.

[0496] As one embodiment, the input of the first operation includes channel measurement obtained based on CSI-RS (Channel State Information Reference Signal) resource or SS / PBCH (Synchronisation Signal / Physical Broadcast Channel) block resource.

[0497] As one embodiment, the input of the first operation includes interference measurement.

[0498] As one embodiment, the input of the first operation includes interference measurement obtained based on CSI-RS resource or CSI-IM (Channel State Information-Interference Measurement) resource.

[0499] As one embodiment, the input of the first operation includes channel matrix.

[0500] As one embodiment, the input of the first operation includes eigenvector.

[0501] As one embodiment, the input of the first operation includes eigenvector and eigenvalue.

[0502] As one embodiment, the output of the first operation is non-codebook based.

[0503] As one embodiment, the output of the first operation does not belong to the CSI defined in 3GPP Rel-18, nor the CSI defined in the versions before 3GPP Rel-18.

[0504] As one embodiment, the output of the first operation comprises CSI (Channel State Information).

[0505] As one embodiment, the output of the first operation comprises 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, and TDCP (Time Domain Channel Properties).

[0506] As one embodiment, the output of the first operation comprises channel small-scale properties.

[0507] As one embodiment, the output of the first operation comprises channel parameters.

[0508] As one embodiment, the output of the first operation comprises a precoding matrix or a precoding vector.

[0509] As one embodiment, the output of the first operation comprises a channel matrix.

[0510] As one embodiment, the output of the first operation comprises a channel experienced by a signal transmitted on one or more antenna ports.

[0511] As one embodiment, the output of the first operation comprises one or more of a relative phase, a relative amplitude, and a relative coefficient between at least two antenna ports.

[0512] As one embodiment, the output of the first operation comprises the first CSI.

[0513] As one embodiment, the first CSI comprises part or all of the output of the first operation.

[0514] As one embodiment, the output of the first operation is post-processed to generate the first CSI.

[0515] As one embodiment, the first CSI comprises a post-processed output of the first operation.

[0516] As one embodiment, the first CSI comprises a partial or full output of the first operation after post-processing.

[0517] As one embodiment, the post-processing comprises quantization.

[0518] As one embodiment, the post-processing comprises truncation.

[0519] As one embodiment, the post-processing comprises DFT (Discrete Fourier Transform).

[0520] As one embodiment, the post-processing comprises one or more of angle domain to spatial domain transformation, spatial domain to angle domain transformation, time domain to frequency domain transformation, and frequency domain to time domain transformation.

[0521] As one embodiment, the first CSI comprises one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index, and TDCP.

[0522] As one embodiment, the first CSI comprises a channel matrix.

[0523] As one embodiment, the first CSI comprises an eigenvector.

[0524] As one embodiment, the first CSI comprises an eigenvector and an eigenvalue.

[0525] As one embodiment, the first CSI comprises precoding information.

[0526] As one embodiment, the first CSI is used to determine at least one precoding matrix.

[0527] As one embodiment, the first CSI indicates at least one precoding matrix.

[0528] As one embodiment, the first CSI comprises compressed CSI.

[0529] As one embodiment, the compressed CSI is non-codebook based.

[0530] As one embodiment, the compressed CSI is neither defined in 3GPP Rel-18 nor in a version before 3GPP Rel-18.

[0531] As an embodiment, the transmitter of the first signal sequence is unaware of the channel parameters recovered by the compressed CSI for the first node.

[0532] As an embodiment, the compressed CSI is an AI or machine learning based CSI.

[0533] As an embodiment, the compressed CSI is a neural network or CNN based CSI.

[0534] As an embodiment, the first CSI comprises predicted / estimated CSI.

[0535] As an embodiment, the first CSI is transmitted on PUCCH or PUSCH.

[0536] As an embodiment, the K signals are dependent on the first CSI.

[0537] As an embodiment, the first CSI is used by the transmitter of the first signal sequence to determine at least one precoding matrix, one or more of the K signals are dependent on the at least one precoding matrix.

[0538] As an embodiment, there is one signal in the K signals whose precoding matrix does not belong to the at least one precoding matrix.

[0539] Embodiment 7

[0540] Embodiment 7 illustrates a schematic diagram of a first CSI and a second CSI according to an embodiment of the present application; as shown in FIG. 7.

[0541] In embodiment 7, the output of the first operation comprises a first CSI, the first CSI is used as an input of a second operation to generate a second CSI.

[0542] As an embodiment, the first CSI comprises a compressed CSI.

[0543] As an embodiment, the second CSI comprises a recovery of at least part of the input of the first operation.

[0544] As an embodiment, the second CSI comprises one or more of PMI, CQI and RI.

[0545] As an embodiment, the second CSI comprises one or more of CRI, SSBRI, RSRP and SINR.

[0546] As an embodiment, the second CSI comprises one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index and TDCP.

[0547] As one embodiment, the second CSI comprises a channel matrix.

[0548] As one embodiment, the second CSI comprises an eigenvector.

[0549] As one embodiment, the second CSI comprises a precoding matrix.

[0550] As one embodiment, the second operation is performed by a transmitter of the first signal sequence.

[0551] As one embodiment, the second operation is an inverse operation of the first operation.

[0552] As one embodiment, the first CSI is used by the transmitter of the first signal sequence as an input of the second operation to generate the second CSI.

[0553] As one embodiment, the second operation is based on training.

[0554] As one embodiment, the training for obtaining the second operation is performed by the transmitter of the first signal sequence.

[0555] As one embodiment, the training for obtaining the second operation is performed by a core network.

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

[0557] As one embodiment, the first operation and the second operation are obtained through mutually independent training.

[0558] As one embodiment, the benefits of the above method include saving air interface overhead, having better flexibility, being able to adapt to different terminals, and having better forward compatibility.

[0559] As one embodiment, the first operation and the second operation are obtained through joint training.

[0560] As one embodiment, the benefits of the above method include optimizing performance.

[0561] As one embodiment, the training of the second operation depends on the first operation.

[0562] As one embodiment, the second operation comprises inference.

[0563] As one embodiment, the second operation comprises AI inference.

[0564] As one embodiment, the second operation comprises AI inference for CSI.

[0565] As one embodiment, the second operation is AI inference for CSI recovery.

[0566] As one embodiment, the second operation is AI inference for CSI decompression.

[0567] As one embodiment, the second operation is performed by an AI entity deployed at the second node.

[0568] As one embodiment, the second operation is performed by an AI function deployed at the second node.

[0569] As one embodiment, the second operation is required for deployment.

[0570] As one embodiment, the second operation is obtained by loading.

[0571] As one embodiment, the second operation is based on artificial intelligence or machine learning.

[0572] As one embodiment, the second operation is based on neural network.

[0573] As one embodiment, the second operation comprises a decoder for CSI compression based on neural network or CNN.

[0574] Embodiment 8

[0575] Embodiment 8 illustrates a schematic diagram of a first signal sequence depending on a second CSI according to one embodiment of the present application; as shown in FIG. 8.

[0576] In embodiment 8, the first signal sequence depends on the second CSI.

[0577] As one embodiment, the second CSI comprises PMI.

[0578] As one embodiment, the second CSI comprises precoding matrix.

[0579] As one embodiment, the second CSI comprises K2 precoding matrices, K2 signals in the K signals respectively depend on the K2 precoding matrices; K2 is a positive integer not greater than K.

[0580] As one embodiment, K2 equals to 1.

[0581] As one embodiment, the K2 is greater than 1 and less than the K.

[0582] As one embodiment, the K2 precoding matrices are non-codebook based precoding matrices.

[0583] As one embodiment, the K2 precoding matrices are unknown to the first node.

[0584] As one embodiment, the transmitter of the first signal sequence generates the K2 signals respectively with the K2 precoding matrices.

[0585] As one embodiment, the K2 is less than the K, and precoding matrices of (K-K2) signals other than the K2 signals among the K signals do not belong to the K2 precoding matrices.

[0586] As one embodiment, the K2 is less than the K, and the second CSI does not include precoding matrices of (K-K2) signals other than the K2 signals among the K signals.

[0587] As one embodiment, the K2 signals are K2 default signals among the K signals.

[0588] As one embodiment, the K2 signals are K2 earliest signals in time domain among the K signals.

[0589] As one embodiment, the K2 signals are K2 earliest signals of starting symbols in time domain among the K signals.

[0590] As one embodiment, the K2 signals are K2 lowest signals in frequency domain among the K signals.

[0591] As one embodiment, the K2 signals are K2 lowest signals of starting RBs (Resource Blocks) in frequency domain among the K signals.

[0592] As one embodiment, the K2 signals are K2 signals with minimum starting RB numbers among the K signals.

[0593] As one embodiment, the K2 signals are K2 signals with minimum layer numbers among the K signals.

[0594] As one embodiment, the K2 signals are K2 signals with minimum mapped antenna ports among the K signals.

[0595] As one embodiment, the K2 signals are K2 signals with minimum DMRS ports among the K signals.

[0596] As one embodiment, the first signal is one of the K2 signals.

[0597] As one embodiment, the K2 is equal to 1, and the first signal is the K2 signals.

[0598] As one embodiment, the pre-coding matrix of the (K-K2) signals is independent of the second CSI.

[0599] As one embodiment, the pre-coding matrix of the (K-K2) signals is independent of the first CSI.

[0600] As one embodiment, the pre-coding matrix of the (K-K2) signals is independent of the output of the second operation.

[0601] As one embodiment, the pre-coding matrix of the (K-K2) signals is independent of the output of the first operation.

[0602] As one embodiment, the pre-coding matrix comprises a pre-coding vector.

[0603] Embodiment 9

[0604] Embodiment 9 illustrates a diagram of a sequence of first signals dependent on a second CSI according to one embodiment of the application; as shown in FIG. 9.

[0605] In Embodiment 9, the second CSI comprises K2 pre-coding matrices, K2 signals of the K signals are dependent on the K2 pre-coding matrices respectively; the K2 is a positive integer smaller than the K; pre-coding matrices of (K-K2) signals of the K signals other than the K2 signals are dependent on a third CSI, the third CSI is codebook-based.

[0606] In FIG. 9, the K signals are denoted as signal #0, …, signal #(K-1) respectively; the K2 signals are denoted as signal #0, …, signal #(K2-1) respectively.

[0607] As one embodiment, the above method has the advantage of good backward compatibility.

[0608] As one embodiment, the above method has the advantage of simplicity.

[0609] As one embodiment, the third CSI indicates the pre-coding matrix of the (K-K2) signals.

[0610] As one embodiment, the third CSI is used to generate the pre-coding matrix of the (K-K2) signals.

[0611] As one embodiment, the precoding matrices of the (K-K2) signals are codebook-based precoding matrices.

[0612] As one embodiment, the precoding matrices of the (K-K2) signals are known to the first node.

[0613] As one embodiment, the method in the first node for wireless communication comprises:

[0614] transmitting the third CSI.

[0615] As one embodiment, the method in the second node for wireless communication comprises:

[0616] receiving the third CSI.

[0617] As one embodiment, the third CSI is transmitted on PUCCH or PUSCH.

[0618] Embodiment 10

[0619] Embodiment 10 illustrates a schematic diagram of a first signal sequence depending on a second CSI according to one embodiment of the present application; as shown in FIG. 10.

[0620] In Embodiment 10, the second CSI comprises K2 precoding matrices, K2 signals out of the K signals depend on the K2 precoding matrices respectively; K2 is a positive integer less than K; the precoding matrices of the (K-K2) signals out of the K signals are generated by a transmitter of the first signal sequence.

[0621] In FIG. 10, the K signals are denoted as signal #0, …, signal #(K-1) respectively; the K2 signals are denoted as signal #0, …, signal #(K2-1) respectively.

[0622] As one embodiment, the benefits of the above method include: higher flexibility, better suitability for different scenarios.

[0623] Generally, how the transmitter of the first signal sequence determines the precoding matrices of the (K-K2) signals is determined by hardware device manufacturers themselves, and some non-limiting implementation manners are introduced as follows:

[0624] As one embodiment, the precoding matrices of the (K-K2) signals depend on the K2 precoding matrices.

[0625] As one embodiment, the transmitter of the first signal sequence generates the precoding matrices of the (K-K2) signals based on the K2 precoding matrices.

[0626] As one embodiment, the precoding matrix of the (K-K2) signals is obtained by processing some or all of the K2 precoding matrices.

[0627] As one embodiment, the processing includes mathematical operations and matrix operations.

[0628] As one embodiment, the processing includes one or more of projection, matrix decomposition, table lookup, difference, weighting and averaging.

[0629] As one embodiment, the precoding matrix of the (K-K2) signals is obtained by projecting some or all of the K2 precoding matrices in a basis space.

[0630] As one embodiment, the K2 is equal to 1, and the precoding matrix of the (K-K2) signals is obtained by projecting the K2 precoding matrices in a basis space.

[0631] As one embodiment, the precoding matrix of the (K-K2) signals is the (K-K2) codewords in a predefined codebook that are closest to some or all of the K2 precoding matrices.

[0632] As one embodiment, the K2 is equal to 1, and the precoding matrix of the (K-K2) signals is the (K-K2) codewords in a predefined codebook that are closest to the K2 precoding matrices.

[0633] As one embodiment, the precoding matrix of each of the (K-K2) signals is orthogonal to one of the K2 precoding matrices.

[0634] As one embodiment, the K2 is equal to 1, and the precoding matrix of the (K-K2) signals is (K-K2) precoding matrices that are orthogonal to the K2 precoding matrices.

[0635] As one embodiment, the K2 is greater than 1, and the precoding matrix of each of the (K-K2) signals is obtained by weighting some or all of the K2 precoding matrices and then averaging.

[0636] As one embodiment, the precoding matrix of each of the (K-K2) signals depends on a sum of one of the K2 precoding matrices and a perturbation matrix.

[0637] As a sub-example of the above example, the precoding matrix of each of the (K-K2) signals is equal to a sum of one of the K2 precoding matrices and the one perturbation matrix.

[0638] As a sub-example of the above example, the perturbation matrix is randomly generated.

[0639] As a sub-example of the above example, a ratio of a modulus of the perturbation matrix and a modulus of the one precoding matrix is pre-configured.

[0640] As a sub-example of the above example, the perturbation matrix is generated in a predetermined manner.

[0641] As an example, the precoding matrix of the (K-K2) signals is randomly generated by the transmitter of the first signal sequence.

[0642] Embodiment 11

[0643] Embodiment 11 illustrates a schematic diagram of training of a first node performing a first operation only when a first condition is satisfied according to an embodiment of the present application; as shown in FIG. 11.

[0644] In embodiment 11, the first node performs the training of the first operation only when the first condition is satisfied.

[0645] As an example, the first node performs the training of the first operation if and only if the first condition is satisfied.

[0646] As an example, the first node does not perform the training of the first operation when the first condition is not satisfied.

[0647] As an example, the reception quality of the K signals is used to determine whether the first condition is satisfied.

[0648] As an example, the first node determines whether the first condition is satisfied according to the reception quality of the K signals.

[0649] As an example, the first node performs the training of the first operation in response to the first condition being satisfied.

[0650] As an example, the first node performs the training of the first operation in conjunction with the first condition being satisfied.

[0651] Embodiment 12

[0652] Embodiment 12 illustrates a schematic diagram of the first condition according to an embodiment of the present application; as shown in FIG. 12.

[0653] In Embodiment 12, the first condition comprises that the reception quality of one of the K signals is higher than the reception quality of a first signal, the first signal being a default one of the K signals.

[0654] As an embodiment, the first signal is generated according to a previous CSI report of the first node.

[0655] As an embodiment, the first signal is generated according to a latest CSI report of the first node.

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

[0657] As an embodiment, the precoding of the first signal depends on a previous CSI report of the first node.

[0658] As an embodiment, the first signal depends on a latest CSI report of the first node.

[0659] As an embodiment, the precoding of the first signal depends on a latest CSI report of the first node.

[0660] As an embodiment, the previous CSI report or the latest CSI report depends on an output of the first operation.

[0661] As an embodiment, the output of the first operation is used to generate the previous CSI report or the latest CSI report.

[0662] As an embodiment, the previous CSI report or the latest CSI report is based on artificial intelligence or machine learning.

[0663] As an embodiment, the previous CSI report or the latest CSI report is based on neural network or CNN.

[0664] As an embodiment, the previous CSI report or the latest CSI report comprises compressed CSI.

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

[0666] As an embodiment, the latest CSI report refers to a latest CSI report based on artificial intelligence or machine learning.

[0667] As one embodiment, the previous is previous to receiving the first signal sequence.

[0668] As one embodiment, the latest is the latest one before receiving the first signal sequence.

[0669] As one embodiment, the first signal depends on the first CSI.

[0670] As one embodiment, precoding of the first signal depends on the first CSI.

[0671] As one embodiment, the precoding matrix of the first signal is one of the K2 precoding matrices.

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

[0673] As one embodiment, the first condition is satisfied only when there is one signal among the K signals whose reception quality is higher than that of the first signal.

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

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

[0676] As one embodiment, the first condition is satisfied only when there is one signal among the K signals whose reception quality is higher than that of the first signal, and the gap between the reception quality of the one signal and the reception quality of the first signal is greater than a first threshold.

[0677] As one embodiment, the first signal is one of the K signals whose starting symbol is earliest in time domain.

[0678] As one embodiment, the first signal is one of the K signals whose starting symbol is earliest in time domain.

[0679] As one embodiment, the first signal is one of the K signals whose starting symbol is earliest in time domain.

[0680] As an embodiment, the first signal is the one with the lowest starting RB in the frequency domain among the K signals.

[0681] As an embodiment, the first signal is the one with the lowest starting RB number among the K signals.

[0682] As an embodiment, the first signal is the one with the lowest layer number among the K signals.

[0683] As an embodiment, the first signal is the one with the lowest mapped antenna port among the K signals.

[0684] As an embodiment, the first signal is the one with the lowest DMRS port among the K signals.

[0685] As an embodiment, the first threshold is configurable.

[0686] As an embodiment, the first threshold is configured by higher layer signaling.

[0687] As an embodiment, the first configuration information block indicates the first threshold.

[0688] As an embodiment, the first threshold depends on the received quality of the first signal.

[0689] As an embodiment, the first threshold equals the received quality of the first signal multiplied by a coefficient.

[0690] As a sub-embodiment of the above embodiment, the coefficient is greater than 0 and less than 1.

[0691] As a sub-embodiment of the above embodiment, the coefficient is configurable.

[0692] As a sub-embodiment of the above embodiment, the coefficient is configured by RRC signaling.

[0693] As a sub-embodiment of the above embodiment, the first configuration information block indicates the coefficient.

[0694] Embodiment 13

[0695] Embodiment 13 illustrates a diagram of the first condition being satisfied according to an embodiment of the present application; as shown in FIG. 13.

[0696] In embodiment 13, the first condition is satisfied if and only if there is a signal among the K signals whose received quality is higher than that of the first signal.

[0697] Embodiment 14

[0698] Embodiment 14 illustrates a schematic diagram of the first condition being satisfied according to one embodiment of the application; as shown in FIG. 14.

[0699] In Embodiment 14, the first condition is satisfied when and 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 gap between the reception quality of the one signal and the reception quality of the first signal is greater than the first threshold.

[0700] Embodiment 15

[0701] Embodiment 15 illustrates a schematic diagram of the first condition according to one embodiment of the application; as shown in FIG. 15.

[0702] In Embodiment 15, the first condition comprises that the gap 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 the one with the highest reception quality among the K signals, and the second given signal is the one with the second highest reception quality among the K signals.

[0703] As one embodiment, the first condition is satisfied if the gap 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 one embodiment, the first condition is satisfied only if the gap 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.

[0705] As one embodiment, the first condition is not satisfied if the gap 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.

[0706] As one 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.

[0707] As one 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.

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

[0709] As one embodiment, the gap between the reception quality of the first given signal and the reception quality of the second given signal refers to an absolute value of a difference between an absolute value of the reception quality of the first given signal and an absolute value of the reception quality of the second given signal.

[0710] As one embodiment, the gap between the reception quality of the first given signal and the reception quality of the second given signal refers to a ratio between the reception quality of the first given signal and the reception quality of the second given signal.

[0711] As one embodiment, the first given threshold is configurable.

[0712] As one embodiment, the first given threshold is configured by higher layer signaling.

[0713] As one embodiment, the first given threshold is configured by RRC signaling.

[0714] As one embodiment, the first configuration information block indicates the first given threshold.

[0715] As one embodiment, the first given threshold is configured by MAC CE.

[0716] As one embodiment, the first given threshold depends on the reception quality of the first given signal.

[0717] As one embodiment, the first given threshold is equal to the reception quality of the first given signal multiplied by a first coefficient.

[0718] As one sub-embodiment of the above embodiment, the first coefficient is greater than 0 and less than 1.

[0719] As one sub-embodiment of the above embodiment, the first coefficient is configurable.

[0720] As one sub-embodiment of the above embodiment, the first coefficient is configured by RRC signaling.

[0721] As one sub-embodiment of the above embodiment, the first configuration information block indicates the first coefficient.

[0722] As one embodiment, the first given threshold depends on the reception quality of the K signals.

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

[0724] As one embodiment, the first given threshold is equal to an average of the received qualities of the K signals weighted respectively.

[0725] Embodiment 16

[0726] Embodiment 16 illustrates a diagram of the first condition being satisfied according to one embodiment of the present application; as shown in FIG. 16.

[0727] In embodiment 16, the first condition is satisfied if and only if the gap between the received quality of the first given signal and the received quality of the second given signal is greater than the first given threshold.

[0728] Embodiment 17

[0729] Embodiment 17 illustrates a diagram of the first condition according to one embodiment of the present application; as shown in FIG. 17.

[0730] In embodiment 17, the K signals are arranged in sequence; the first condition includes that the K signals include two signals satisfying a second condition, the second condition being that the received quality of a signal arranged later is higher than the received quality of a signal arranged earlier.

[0731] As one embodiment, the first condition is satisfied if the K signals include two signals satisfying the second condition; the second condition being that the received quality of a signal arranged later is higher than the received quality of a signal arranged earlier.

[0732] As one embodiment, the first condition is satisfied only if the K signals include two signals satisfying the second condition; the second condition being that the received quality of a signal arranged later is higher than the received quality of a signal arranged earlier.

[0733] As one embodiment, the first condition is satisfied when the K signals include two signals satisfying the second condition; for any two signals of the K signals, the two signals satisfy the second condition when the received quality of a signal arranged later of the two signals is higher than the received quality of a signal arranged earlier of the two signals.

[0734] As one embodiment, the first condition includes that the K signals include a third given signal and a fourth given signal, the third given signal being arranged before the fourth given signal, the received quality of the fourth given signal being higher than the received quality of the third given signal.

[0735] As one embodiment, the first condition is satisfied if the K signals include a third given signal and a fourth given signal, the third given signal precedes 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 one embodiment, the first condition is satisfied only if the K signals include a third given signal and a fourth given signal, the third given signal precedes the fourth given signal, and the reception quality of the fourth given signal is higher than the reception quality of the third given signal.

[0737] As one embodiment, the first condition includes that the K signals include a third given signal and a fourth given signal, the third given signal precedes the fourth given signal, the reception quality of the fourth given signal is higher than the reception quality of the third given signal, and a gap 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 value.

[0738] As one embodiment, the first condition is satisfied if the K signals include a third given signal and a fourth given signal, the third given signal precedes the fourth given signal, the reception quality of the fourth given signal is higher than the reception quality of the third given signal, and a gap 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 value.

[0739] As one embodiment, the first condition is satisfied only if the K signals include a third given signal and a fourth given signal, the third given signal precedes the fourth given signal, the reception quality of the fourth given signal is higher than the reception quality of the third given signal, and a gap 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 value.

[0740] As one embodiment, the first condition includes that the K signals include two signals satisfying a third condition; the third condition is that the reception quality of a signal that precedes is lower than the reception quality of a signal that follows, and a gap between the reception quality of the signal that precedes and the reception quality of the signal that follows is greater than a second given threshold value.

[0741] As one embodiment, the first condition is satisfied if the K signals include two signals satisfying a third condition; the third condition is that a reception quality of a signal placed later is higher than a reception quality of a signal placed earlier, and a gap between the reception quality of the signal placed later and the reception quality of the signal placed earlier is greater than a second given threshold.

[0742] As one embodiment, the first condition is satisfied only when the K signals include two signals satisfying a third condition; the third condition is that a reception quality of a signal placed later is higher than a reception quality of a signal placed earlier, and a gap between the reception quality of the signal placed later and the reception quality of the signal placed earlier is greater than a second given threshold.

[0743] As one embodiment, the first condition is satisfied when the K signals include two signals satisfying a third condition; for any two signals of the K signals, the two signals satisfy the third condition when a reception quality of a signal placed later of the two signals is higher than a reception quality of a signal placed earlier of the two signals, and a gap between the reception quality of the signal placed later and the reception quality of the signal placed earlier is greater than a second given threshold.

[0744] As one embodiment, the first condition includes that the K signals include a third given signal and a fourth given signal adjacent to each other, the third given signal is placed before the fourth given signal, and a reception quality of the fourth given signal is higher than a reception quality of the third given signal.

[0745] As one embodiment, the first condition is satisfied if the K signals include a third given signal and a fourth given signal adjacent to each other, the third given signal is placed before the fourth given signal, and a reception quality of the fourth given signal is higher than a reception quality of the third given signal.

[0746] As one embodiment, the first condition is satisfied only when the K signals include a third given signal and a fourth given signal adjacent to each other, the third given signal is placed before the fourth given signal, and a reception quality of the fourth given signal is higher than a reception quality of the third given signal.

[0747] As one embodiment, the first condition includes that the K signals include two adjacent signals satisfying a second condition; the second condition is that a reception quality of a signal placed later is higher than a reception quality of a signal placed earlier.

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

[0749] As one embodiment, the first condition is satisfied only if the K signals include two adjacent signals satisfying a second condition; the second condition is that a reception quality of a signal placed later is higher than a reception quality of a signal placed earlier.

[0750] As one embodiment, the first condition includes that the K signals include adjacent third and fourth given signals, the third given signal is placed before the fourth given signal, a reception quality of the fourth given signal is higher than a reception quality of the third given signal, and a 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 value.

[0751] As one embodiment, the first condition is satisfied if the K signals include adjacent third and fourth given signals, the third given signal is placed before the fourth given signal, a reception quality of the fourth given signal is higher than a reception quality of the third given signal, and a 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 value.

[0752] As one embodiment, the first condition is satisfied only if the K signals include adjacent third and fourth given signals, the third given signal is placed before the fourth given signal, a reception quality of the fourth given signal is higher than a reception quality of the third given signal, and a 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 value.

[0753] As one embodiment, the first condition includes that the K signals include two adjacent signals satisfying a third condition; the third condition is that a reception quality of a signal placed later is higher than a reception quality of a signal placed earlier, and a difference between the reception quality of the signal placed later and the reception quality of the signal placed earlier is greater than a second given threshold value.

[0754] As one embodiment, the first condition is satisfied if the K signals include two adjacent signals satisfying a third condition; the third condition is that a reception quality of a signal placed later is higher than a reception quality of a signal placed earlier, and a gap between the reception quality of the signal placed later and the reception quality of the signal placed earlier is greater than a second given threshold.

[0755] As one embodiment, the first condition is satisfied only if the K signals include two adjacent signals satisfying a third condition; the third condition is that a reception quality of a signal placed later is higher than a reception quality of a signal placed earlier, and a gap between the reception quality of the signal placed later and the reception quality of the signal placed earlier is greater than a second given threshold.

[0756] As one embodiment, for any two signals of the K signals, the two signals satisfy the second condition if a reception quality of a signal placed later of the two signals is higher than a reception quality of a signal placed earlier of the two signals.

[0757] As one embodiment, for any two signals of the K signals, the two signals satisfy the second condition only if a reception quality of a signal placed later of the two signals is higher than a reception quality of a signal placed earlier of the two signals.

[0758] As one embodiment, for any two signals of the K signals, the two signals satisfy the third condition if a reception quality of a signal placed later of the two signals is higher than a reception quality of a signal placed earlier of the two signals, and a gap between the reception quality of the signal placed later and the reception quality of the signal placed earlier is greater than a second given threshold.

[0759] As one embodiment, for any two signals of the K signals, the two signals satisfy the third condition only if a reception quality of a signal placed later of the two signals is higher than a reception quality of a signal placed earlier of the two signals, and a gap between the reception quality of the signal placed later and the reception quality of the signal placed earlier is greater than a second given threshold.

[0760] As one embodiment, the second given threshold is configurable.

[0761] As one embodiment, the second given threshold is configured by a higher layer signaling.

[0762] As one embodiment, the second given threshold is configured by RRC signaling.

[0763] As one embodiment, the first configuration information block indicates the second given threshold.

[0764] As one embodiment, the second given threshold is configured by MAC CE.

[0765] As one embodiment, the second given threshold depends on the received quality of the preceding one of the two signals.

[0766] As one embodiment, the second given threshold depends on the higher one of the received qualities of the two signals.

[0767] As one embodiment, the second given threshold is equal to the received quality of the preceding one of the two signals multiplied by a third coefficient.

[0768] As one embodiment, the second given threshold is equal to the higher one of the received qualities of the two signals multiplied by a third coefficient.

[0769] As one embodiment, the third coefficient is configurable.

[0770] As one embodiment, the third coefficient is configured by higher layer signaling.

[0771] As one embodiment, the third coefficient is configured by RRC signaling.

[0772] As one embodiment, the first configuration information block indicates the third coefficient.

[0773] Embodiment 18

[0774] Embodiment 18 illustrates a schematic diagram of the first condition and the second condition according to one embodiment of the present application; as shown in FIG. 18.

[0775] In embodiment 18, the first condition is satisfied if and only if the K signals include two signals satisfying the second condition; for any two signals of the K signals, the two signals satisfy the second condition if and only if the received quality of the latter one of the two signals is higher than the received quality of the former one of the two signals.

[0776] Embodiment 19

[0777] Embodiment 19 illustrates a schematic diagram of the first condition and the third condition according to one embodiment of the present application; as shown in FIG. 19.

[0778] In Embodiment 19, the first condition is satisfied if and only if the K signals include two signals satisfying the third condition; for any two signals of the K signals, the two signals satisfy the third condition if and only if the received quality of a later one of the two signals is higher than the received quality of an earlier one of the two signals, and the gap between the received quality of the later one and the received quality of the earlier one is greater than a second threshold.

[0779] Embodiment 20

[0780] Embodiment 20 illustrates a diagram of K signals arranged in sequence according to an embodiment of the present application; as shown in FIG. 20.

[0781] In Embodiment 20, the K signals arranged in sequence means that the K signals are arranged in sequence according to the order of time domain. In FIG. 20, the K signals are denoted as signal #0, signal #1, …, signal #(K-1) respectively.

[0782] As an embodiment, the K signals arranged in sequence means that the K signals are arranged in sequence according to the order of time domain of starting symbols.

[0783] As an embodiment, one signal preceding another signal means that the one signal precedes the another signal in time domain; the one signal and the another signal are any two signals of the K signals.

[0784] As an embodiment, one signal preceding another signal means that the starting symbol of the one signal precedes the starting symbol of the another signal in time domain; the one signal and the another signal are any two signals of the K signals.

[0785] Embodiment 21

[0786] Embodiment 21 illustrates a diagram of K signals arranged in sequence according to an embodiment of the present application; as shown in FIG. 21.

[0787] In Embodiment 21, in (a) of FIG. 21, the K signals arranged in sequence means that the K signals are arranged in sequence according to the order of frequency from low to high in frequency domain; in (b) of FIG. 21, the K signals arranged in sequence means that the K signals are arranged in sequence according to the order of starting RB number from small to large.

[0788] In FIG. 21, the K signals are denoted as signal #0, signal #1, …, signal #(K-1) respectively.

[0789] In FIG. 21, the RB start and the RB end represent the RB with the smallest number and the RB with the largest number, respectively.

[0790] As an embodiment, the RB start and the RB end in FIG. 21 represent the RB with the smallest number and the RB with the largest number in a BWP (bandwidth part) to which the first signal sequence belongs, respectively.

[0791] As an embodiment, the K signals are arranged in sequence in the order of the starting RBs from low to high in the frequency domain.

[0792] As an embodiment, the starting RB refers to the RB with the smallest number.

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

[0794] As an embodiment, the RB refers to a PRB (Physical Resource Block).

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

[0796] As an embodiment, one signal is arranged before another signal refers to 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 of the K signals.

[0797] As an embodiment, one signal is arranged before another signal refers to that the number of the starting RB of the one signal is smaller than the number of the starting RB of the other signal; the one signal and the other signal are any two of the K signals.

[0798] Embodiment 22

[0799] Embodiment 22 illustrates a diagram of the arrangement of K signals in sequence according to an embodiment of the present application; as shown in FIG. 22.

[0800] In embodiment 22, the K signals are K layers; the K signals are arranged in sequence in the order of the layer numbers from small to large.

[0801] In FIG. 22, the K signals are represented as signal #0, signal #1, …, signal #(K-1), respectively; the The p0, …, the p are the K signals, respectively, the p0, …, the p K-1 are antenna ports mapped by the K signals, respectively, the x (0) (i), …, the x (K-1) (i) are modulation symbols of K layers, respectively, the M is the number of modulation symbols of each layer, and the layer numbers of the K signals are 0, …, K-1, respectively.

[0802] As an embodiment, the p0, …, the p K-1 are indicated by scheduling signaling of the K signals.

[0803] As an embodiment, the p0, …, the p K-1 are indicated by a DCI field Antenna port(s) of scheduling signaling of the K signals.

[0804] 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 positions of the mapped antenna ports in a first antenna port group; and the scheduling signaling of the K signals indicates the first antenna port group, the first antenna port group including K antenna ports arranged in sequence from left to right.

[0805] As an embodiment, the scheduling signaling includes DCI (Downlink Control Information).

[0806] As an embodiment, a DCI field Antenna port(s) of the scheduling signaling indicates the first antenna port group.

[0807] As an embodiment, the first antenna port group is composed of the K antenna ports.

[0808] As an embodiment, the K signals are mapped to the K antenna ports, respectively.

[0809] As an embodiment, the p0, …, the p K-1 in FIG. 22 are the K antenna ports.

[0810] As an embodiment, the p0, …, the p K-1 in FIG. 22 are arranged in sequence from left to right in the first antenna port group.

[0811] As an embodiment, the K signals are arranged in sequence, which means that the K signals are arranged in sequence from small to large according to the mapped antenna ports.

[0812] As an embodiment, the K signals respectively comprise DMRS, and the K signals are arranged in sequence in ascending order of DMRS port.

[0813] As an embodiment, one signal is arranged before another signal if a layer number of the one signal is less than a layer number of the another signal; the one signal and the another signal are any two signals of the K signals.

[0814] As an embodiment, one signal is arranged before another signal if an antenna port mapped by the one signal is located left of an antenna port mapped by the another signal in a first antenna port group; the scheduling signaling of the K signals indicates the first antenna port group, the first antenna port group comprises K antenna ports, the K antenna ports are arranged in sequence from left to right in the first antenna port group; the one signal and the another signal are any two signals of the K signals.

[0815] As an embodiment, one signal is arranged before another signal if an antenna port mapped by the one signal is less than an antenna port mapped by the another signal; the one signal and the another signal are any two signals of the K signals.

[0816] As an embodiment, one signal is arranged before another signal if a DMRS port of the one signal is less than a DMRS port of the another signal; the one signal and the another signal are any two signals of the K signals.

[0817] Embodiment 23

[0818] Embodiment 23 illustrates a diagram of any signal of K signals comprising a plurality of sub-signals according to an embodiment of the present application; as shown in FIG. 23.

[0819] In embodiment 23, any signal of the K signals comprises a plurality of sub-signals, and any sub-signal comprised by any signal of the K signals comprises at least one of PDSCH and DMRS. In FIG. 23, the K signals are respectively denoted as signal #0, …, signal #(K-1).

[0820] As an embodiment, for any signal of the K signals, each sub-signal comprised by this signal comprises PDSCH or comprises DMRS.

[0821] As an embodiment, for any signal of the K signals, the plurality of sub-signals comprised by this signal are quasi co-located.

[0822] As an embodiment, for any of the K signals, any two of the multiple sub-signals comprised by this signal are quasi co-located.

[0823] As an embodiment, for any of the K signals, any two of the multiple sub-signals comprised by this signal are quasi co-located and the corresponding quasi co-location type comprises Type D.

[0824] As an embodiment, for any of the K signals, the multiple sub-signals comprised by this signal employ the same precoding matrix.

[0825] As an embodiment, for any of the K signals, the multiple sub-signals comprised by this signal are transmitted by the same one or more antenna ports.

[0826] As an embodiment, the multiple sub-signals comprised by one of the K signals are respectively scheduled by different DCIs.

[0827] As an embodiment, for any of the K signals, the multiple sub-signals comprised by this signal are respectively scheduled by different DCIs.

[0828] As an embodiment, for any of the K signals, the multiple sub-signals comprised by this signal are orthogonal to each other in time domain or frequency domain.

[0829] As an embodiment, for any of the K signals, the transmission channel of the multiple sub-signals comprised by this signal is ergodic.

[0830] As an embodiment, for the multiple sub-signals comprised by any of the K signals, the channel for transmitting any of the multiple sub-signals cannot be inferred from the channel for transmitting another one of the multiple sub-signals.

[0831] As an embodiment, the reception quality of any of the K signals depends on the reception quality of the multiple sub-signals comprised by this signal.

[0832] As an embodiment, the reception quality of any of the K signals is the average reception quality of the multiple sub-signals comprised by this signal.

[0833] As an embodiment, the reception quality of any of the K signals is the reception quality of the worst one of the multiple sub-signals comprised by this signal.

[0834] As an embodiment, the reception quality of any one of the K signals is the reception quality of the one of the multiple sub-signals included in this signal which has the best reception quality.

[0835] 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 except the one which has the best reception quality.

[0836] 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 except the one which has the worst reception quality.

[0837] Embodiment 24

[0838] 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; as shown in FIG. 24.

[0839] In embodiment 24, each of the K signals includes P sub-signals, P being a positive integer greater than 1; all the sub-signals included in the K signals are divided into P sub-signal groups, each of the P sub-signal groups including one sub-signal included in each of the K signals.

[0840] In FIG. 24, the K signals are denoted as signal #0, …, signal #(K-1) respectively; the P sub-signals are denoted as sub-signal #0, …, sub-signal #(P-1) respectively; the P sub-signal groups are denoted as sub-signal group #0, …, sub-signal group #(P-1) respectively.

[0841] As an embodiment, the K sub-signals in each of the P sub-signal groups are scheduled by the same DCI.

[0842] As an embodiment, the first condition includes that the sub-signal included in one of the K signals has the highest reception quality in P1 of the P sub-signal groups, P1 being greater than a third given threshold.

[0843] As an embodiment, the first condition is satisfied when there is one of the K signals whose included sub-signal has the highest reception quality in P1 of the P sub-signal groups and P1 is greater than a third given threshold.

[0844] As an embodiment, the first condition is satisfied only when there is one of the K signals whose included sub-signal has the highest reception quality in P1 of the P sub-signal groups and P1 is greater than a third given threshold.

[0845] As an embodiment, the first condition comprises that one of the K signals other than the first signal comprises sub-signals all having the highest reception quality in P1 sub-signal groups of the P sub-signal groups, and the P1 is greater than a third given threshold.

[0846] As an embodiment, the first condition is satisfied when one of the K signals other than the first signal comprises sub-signals all having the highest reception quality in P1 sub-signal groups of the P sub-signal groups and the P1 is greater than a third given threshold.

[0847] As an embodiment, the first condition is satisfied only when one of the K signals other than the first signal comprises sub-signals all having the highest reception quality in P1 sub-signal groups of the P sub-signal groups and the P1 is greater than a third given threshold.

[0848] As an embodiment, the third given threshold is configurable.

[0849] As an embodiment, the third given threshold is configured by RRC signaling.

[0850] As an embodiment, the first configuration information block indicates the third given threshold.

[0851] As an embodiment, the third given threshold depends on the P.

[0852] As an embodiment, the third given threshold equals a product of the P and a second coefficient, the second coefficient being greater than 0 and less than 1.

[0853] As an embodiment, the second coefficient is configurable.

[0854] As an embodiment, the second coefficient is configured by RRC signaling.

[0855] As an embodiment, the first configuration information block indicates the second coefficient.

[0856] As an embodiment, the first signal is a default one of the K signals.

[0857] As an embodiment, the first signal is one of the K signals having the earliest starting symbol in time domain.

[0858] As an embodiment, the first signal is one of the K signals having the lowest starting RB in frequency domain.

[0859] As an embodiment, the first signal is the one with the smallest starting RB number among the K signals.

[0860] As an embodiment, the first signal is the one with the smallest layer number among the K signals.

[0861] As an embodiment, the first signal is the one with the smallest DMRS port among the K signals.

[0862] Embodiment 25

[0863] Embodiment 25 illustrates a diagram of a first DCI scheduling a first signal sequence according to an embodiment of the present application; as shown in FIG. 25.

[0864] In embodiment 25, the first DCI schedules the first signal sequence.

[0865] As an embodiment, the first DCI schedules each signal in the first signal sequence.

[0866] As an embodiment, the first DCI indicates scheduling information of each signal in the first signal sequence.

[0867] As an embodiment, the scheduling information includes one or more of time domain resource, frequency domain resource, 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).

[0868] As an embodiment, the scheduling information includes TCI (Transmission configuration indicator) state or spatial relation.

[0869] As an embodiment, the first DCI explicitly indicates scheduling information of a part of signals in the first signal sequence and implicitly indicates scheduling information of another part of signals in the first signal sequence.

[0870] As an embodiment, the first signal sequence includes all PDSCHs scheduled by the first DCI.

[0871] As an example, the first signal sequence comprises DMRS of all PDSCHs scheduled by the first DCI.

[0872] As an example, the first signal sequence comprises all PDSCHs and DMRS of the all PDSCHs scheduled by the first DCI.

[0873] As an example, the first configuration information block indicates one trigger state, the one trigger state is mapped to one DCI domain codepoint, the first DCI indicates the one DCI domain codepoint.

[0874] As an example, the first DCI is transmitted on PDCCH (Physical Downlink Control Channel).

[0875] Embodiment 26

[0876] Embodiment 26 illustrates a diagram of K DCIs respectively scheduling K signals according to an embodiment of the present application; as shown in FIG. 26.

[0877] In FIG. 26, the K signals are respectively denoted as signal #0, …, signal #(K-1); the K DCIs are respectively denoted as DCI #0, …, DCI #(K-1).

[0878] As an example, the K DCIs respectively schedule the K signals, the K DCIs are orthogonal to each other in time domain, the K DCIs schedule PDSCHs with same HARQ process number, New data indicator fields of any two adjacent DCIs in the K DCIs are toggled.

[0879] As an example, the above method has the advantage of better flexibility.

[0880] As an example, any DCI in the K DCIs except the earliest one is a DCI scheduling PDSCHs with same HARQ process number and toggled NDI (New data indicator) as the earliest one and the previous DCI.

[0881] As an example, each DCI in the K DCIs is transmitted on PDCCH.

[0882] Embodiment 27

[0883] Embodiment 27 illustrates a diagram of initial training first operation according to an embodiment of the present application; as shown in FIG. 27.

[0884] In an embodiment 27, the initial training of the first operation is prior to the reception of the first sequence of signals.

[0885] As an embodiment, the initial training of the first operation is prior to the reception of at least one signal in the first sequence of signals.

[0886] As an embodiment, the initial training of the first operation is prior to the reception of any signal in the first sequence of signals.

[0887] As an embodiment, the initial training of the first operation is prior to the reception of each signal in the first sequence of signals.

[0888] As an embodiment, the initial training refers to first training.

[0889] As an embodiment, the initial training of the first operation is prior to the reception of the first configuration information block.

[0890] As an embodiment, the initial training of the first operation is later than the reception of the first configuration information block.

[0891] As an embodiment, the initial training of the first operation is prior to the deployment of the first operation.

[0892] As an embodiment, the initial training of the first operation is prior to the sending of the first CSI.

[0893] As an embodiment, the initial training of the first operation is performed by an AI function.

[0894] As an embodiment, the initial training of the first operation is performed by an AI function deployed at the first node.

[0895] As an embodiment, the initial training of the first operation is performed by an AI entity.

[0896] As an embodiment, the initial training of the first operation is performed by an AI entity deployed at the first node.

[0897] As an embodiment, the initial training of the first operation is performed by an MDA function (Management Data Analytics Function).

[0898] As one embodiment, the initial training of the first operation is performed by a MDAS (Management Data Analytics Service) producer.

[0899] As one embodiment, the initial training of the first operation is performed by a MnS (Management Service) producer.

[0900] As one embodiment, the initial training of the first operation is performed by a NWDAF (Network Data Analytics Function).

[0901] As one embodiment, the initial training comprises ML training.

[0902] As one embodiment, the initial training is ML training.

[0903] As one embodiment, the first node is a MnS producer.

[0904] As one embodiment, the first node is a ML trained MnS producer.

[0905] Embodiment 28

[0906] Embodiment 28 illustrates a schematic diagram of an artificial intelligence or machine learning based processing system according to one embodiment of the present application; as shown in FIG. 28.

[0907] In embodiment 28, the first processor sends a first data set to the second processor, and a second data set to the third processor; the second processor generates a target first type parameter set according to the first data set, and sends the generated target first type parameter set to the third processor; the third processor processes the second data set using the target first type parameter set to obtain a first type output, and sends the first type output to the fourth processor. In FIG. 28, the first type feedback and the second type feedback are optional; the second processor comprises a ML training function; and the third processor comprises a ML inference function.

[0908] As one embodiment, the fourth processor comprises a ML testing function.

[0909] As one embodiment, the fourth processor comprises performance monitoring / evaluation of the ML model.

[0910] As an embodiment, the third processor sends first type feedback to the second processor, the first type feedback is used to trigger re-computation or update of the target first type parameter group, i.e. trigger ML initial training or ML re-training.

[0911] As an embodiment, the fourth processor sends second type feedback to the first processor, the second type feedback is used to generate the first data set or the second data set, or the second type feedback is used to trigger sending of the first data set or sending of the second data set.

[0912] As an embodiment, the first processor generates the first data set and the second data set according to measurement of reference signals.

[0913] As an embodiment, the third processor belongs to the first node, and the fourth processor belongs to the second node.

[0914] As an embodiment, the first type output includes the first CSI.

[0915] As an embodiment, the second data set includes measurement of reference signals.

[0916] As an embodiment, the first data set includes training data.

[0917] As an embodiment, the second processor is used to train an ML model, and the trained model is described by the target first type parameter group.

[0918] As an embodiment, the second processor belongs to the first node.

[0919] The above embodiment avoids passing the first data set to the second node.

[0920] As an embodiment, the second processor belongs to the second node.

[0921] The above embodiment supports joint training, and optimizes system performance.

[0922] As an embodiment, the second processor belongs to a core network.

[0923] The above embodiment supports network-wide joint training, and further optimizes system performance.

[0924] As an embodiment, the second data set includes inference data.

[0925] As an embodiment, the third processor belongs to the first node.

[0926] As an embodiment, the third processor constructs a model according to the target first-type parameter set, and then inputs the second data set into the constructed model to obtain the first-type output.

[0927] As an embodiment, the third processor generates a recovery data set according to the first-type output, and the error of the recovery data set and the second data set is used to generate the first-type feedback.

[0928] As an embodiment, the first-type feedback is used to reflect the performance of the trained model; when the performance of the trained model cannot meet the requirement, the second processor recalculates the target first-type parameter set.

[0929] As an embodiment, when the error is too large or the time for updating is too long, the performance of the trained model is considered to be unable to meet the requirement.

[0930] As an embodiment, the target first-type parameter set includes one or more of a convolution kernel size, a convolution layer number, a convolution step length, a pooling kernel size, a pooling kernel step length, a pooling function, an activation function, or a feature map number.

[0931] As an embodiment, the target first-type parameter set includes one or more of a convolution kernel, a pooling kernel, a pooling function, an activation function, a parameter of the pooling function, or a parameter of the activation function.

[0932] As an embodiment, the third processor performs the first operation.

[0933] As an embodiment, the fourth processor includes the second operation.

[0934] As an embodiment, the ML includes AI.

[0935] As an embodiment, the ML includes ML and AI.

[0936] Embodiment 29

[0937] Embodiment 29 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of the present application; as shown in FIG. 29. FIG. 29 includes a third operation, a fourth operation, a fifth operation, a sixth operation, and a seventh operation.

[0938] In embodiment 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. In FIG. 29, the line with an arrow represents the order of the flow.

[0939] As one embodiment, the third operation comprises ML training, the fourth operation comprises ML testing, the fifth operation comprises ML emulation, the sixth operation comprises ML entity loading, and the seventh operation comprises AI inference.

[0940] As one embodiment, the first phase comprises a training phase, the second phase comprises an emulation phase, the third phase comprises a deployment phase, and the fourth phase comprises an inference phase.

[0941] As one embodiment, the first phase comprises ML model training.

[0942] As one embodiment, the first phase comprises ML model training and ML testing.

[0943] As one embodiment, the ML model training comprises initial training and re-training of one or a set of ML models.

[0944] As one embodiment, the ML model training relies on training data.

[0945] As one embodiment, the ML model training comprises ML entity validation.

[0946] As one embodiment, the ML entity validation is used to evaluate the performance of the ML entity.

[0947] As one embodiment, the ML entity validation relies on validation data.

[0948] As one embodiment, if the result of ML entity validation does not meet the expectation, the ML model will be re-trained.

[0949] As one embodiment, the ML testing comprises testing the validated ML entity to evaluate the performance of the trained ML model.

[0950] As one embodiment, if the result of ML testing meets the expectation, the ML entity proceeds to the next phase; otherwise, the ML model will be re-trained.

[0951] As one embodiment, the ML testing relies on testing data.

[0952] As one embodiment, the second stage includes ML simulation, which simulates inference of the ML entity in a simulation environment.

[0953] As one embodiment, the ML simulation estimates performance of inference of the ML entity in the simulation environment before the ML entity is used.

[0954] As one embodiment, the second stage is optional.

[0955] As one embodiment, the third stage includes ML entity loading, which is to obtain the trained ML entity to obtain the desired AI inference function.

[0956] As one embodiment, the third stage is optional.

[0957] As one embodiment, the third stage is not needed when the training function and the inference function are co-located.

[0958] As one embodiment, the fourth stage includes AI inference.

[0959] As one embodiment, the ML includes AI.

[0960] As one embodiment, the AI includes ML.

[0961] Embodiment 30

[0962] Embodiment 30 illustrates a diagram of AI function deployment according to one embodiment of the present application; as shown in FIG. 30.

[0963] 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.

[0964] In Embodiment 30, the RAN domain-specific management function provides the AI training function capability and the AI inference function capability.

[0965] Embodiment 31

[0966] Embodiment 31 illustrates a diagram of AI function deployment according to one embodiment of the present application; as shown in FIG. 31.

[0967] In embodiment 31, the AI training function is located at the RAN domain specific management function, and the AI inference function is located locally at the UE.

[0968] In embodiment 31, the management capability of the AI training function is provided by the RAN domain specific management function, and the management capability of the AI inference is provided locally by the UE.

[0969] In FIG. 31, MnF refers to Management Function.

[0970] Embodiment 32

[0971] Embodiment 32 illustrates a schematic diagram of AI function deployment according to an embodiment of the application; as shown in FIG. 32.

[0972] In embodiment 32, both the AI training function and the AI inference function are located at the gNB, wherein the gNB provides the capability of training and inference.

[0973] In embodiment 32, the RAN domain specific management function provides the management capability of the AI training function and the AI inference function.

[0974] Embodiment 33

[0975] Embodiment 33 illustrates a schematic diagram of AI function deployment according to an embodiment of the application; as shown in FIG. 33.

[0976] In embodiment 33, both the AI training function and the AI inference function are located at the gNB.

[0977] In embodiment 33, the management capability of the AI training and the AI inference are both provided locally by the gNB.

[0978] In FIG. 33, MnF refers to Management Function.

[0979] Embodiment 34

[0980] Embodiment 34 illustrates a structural block diagram of a processing apparatus in a first node according to an embodiment of the application; as shown in FIG. 34. In FIG. 34, the processing apparatus 3400 in the first node comprises a first receiver 3401 and a first processor 3402.

[0981] As an embodiment, the first node is a user equipment.

[0982] As an embodiment, the first node is a relay node device.

[0983] As one embodiment, the first receiver 3401 includes at least one of {antenna 452, receiver 454, receive processor 456, multi-antenna receive processor 458, controller / processor 459, memory 460, data source 467} in embodiment 4.

[0984] As one 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 embodiment 4.

[0985] The first receiver 3401 receives a first signal sequence on a same cell.

[0986] The first processor 3402 trains a first operation.

[0987] 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, the K is a positive integer greater than 1; the training of the first operation depends on reception quality of the K signals; wherein, an output of the first operation includes channel information.

[0988] As one embodiment, the first node performs the training of the first operation only when a first condition is satisfied.

[0989] As one embodiment, the first condition includes that reception quality of one signal in the K signals is higher than reception quality of a first signal, the first signal is a default one in the K signals.

[0990] As one embodiment, the K signals are arranged in sequence; the first condition includes that the K signals include two signals satisfying a second condition, the second condition is that reception quality of a signal arranged later is higher than reception quality of a signal arranged earlier.

[0991] As one embodiment, comprising:

[0992] The first processor 3402 initially trains the first operation;

[0993] Wherein, the initial training of the first operation is earlier than the reception of the first signal sequence.

[0994] As one embodiment, any signal in the K signals includes a plurality of sub-signals, any sub-signal included in any signal in the K signals includes at least one of PDSCH and DMRS.

[0995] As one embodiment, the first receiver 3401 receives a first DCI; wherein the first DCI schedules the first signal sequence.

[0996] Embodiment 35

[0997] Embodiment 35 illustrates a structural block diagram of a processing apparatus in a second node according to one embodiment of the present application; as shown in Figure 35. In Figure 35, the processing apparatus 3500 in the second node includes a second transmitter 3501.

[0998] As one embodiment, the second node is a base station device.

[0999] As one embodiment, the second node is a user equipment.

[1000] As one embodiment, the second node is a relay node device.

[1001] As one 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.

[1002] The second transmitter 3501 transmits the first signal sequence on the same cell.

[1003] 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, 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.

[1004] As one embodiment, the target receiver of the first signal sequence performs the training of the first operation only when a first condition is met.

[1005] As one embodiment, the first condition includes that the reception quality of one signal in the K signals is higher than the reception quality of a first signal, the first signal is a default one in the K signals.

[1006] As one embodiment, the K signals are arranged in sequence; the first condition includes that the K signals include two 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.

[1007] As one embodiment, including:

[1008] The target receiver of the first signal sequence initially trains the first operation;

[1009] The initial training of the first operation is earlier than the receiving of the first signal sequence.

[1010] As an embodiment, any of the K signals comprises a plurality of sub-signals, and any of the sub-signals comprised in any of the K signals comprises at least one of PDSCH and DMRS.

[1011] As an embodiment, the second transmitter 3501 transmits a first DCI; wherein the first DCI schedules the first signal sequence.

[1012] Those skilled in the art can understand that all or part of the steps in the foregoing method can be instructed by a program to relevant hardware, 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 of the foregoing embodiments can also be implemented using one or more integrated circuits. Correspondingly, each module unit in the foregoing embodiments 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 combination of software and hardware. The user equipment, terminal and UE in the present application include but are not limited to unmanned aerial vehicles, communication modules on unmanned aerial vehicles, remote control aircraft, aircraft, small aircraft, mobile phones, tablet computers, notebooks, vehicle-mounted communication devices, wireless sensors, network cards, Internet of Things terminals, RFID (Radio Frequency Identification) terminals, NB-IOT (Narrow Band Internet of Things) terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, network cards, vehicle-mounted communication devices, low-cost mobile phones, low-cost tablet computers, and other wireless communication devices. The base station or system device in the present application includes but is not limited to macro cellular base stations, micro cellular base stations, home base stations, relay base stations, gNB (NR Node B), TRP (Transmitter Receiver Point), GNSS (Global Navigation Satellite System), relay satellites, satellite base stations, air base stations, RSU (Road Side Unit), unmanned aerial vehicles, test equipment (such as a transceiver or a signaling tester that simulates part of the functions of a base station), and other wireless communication devices.

[1013] The above merely provides the preferred embodiments of the present application, but not for limiting the present application. Any changes and modifications made on the basis of the described embodiments should be considered as obvious and belong to the protection scope of the present application.

Claims

1. A method in a first node used for wireless communication, characterized by, Comprising: receiving a first signal sequence on a same cell, the first signal sequence comprising K signals, any signal in the first signal sequence comprising at least one of PDSCH and DMRS, the K being a positive integer greater than 1; training a first operation, the training of the first operation depending on reception quality of the K signals; wherein an output of the first operation comprises channel information.

2. The method in the first node according to claim 1, characterized by, The first node performs the training of the first operation only when a first condition is satisfied.

3. A method in a first node according to claim 2, characterized by, The first condition comprises that reception quality of one signal in the K signals is higher than reception quality of a first signal, the first signal being a default one in the K signals.

4. A method in a first node according to claim 2, characterised by, The K signals are arranged in sequence; the first condition comprises that the K signals comprise two signals satisfying a second condition, the second condition being that reception quality of a signal arranged later is higher than reception quality of a signal arranged earlier.

5. A method in a first node according to any of claims 1 to 4, characterized by, Comprising: initially training the first operation; wherein the initial training of the first operation is earlier than the receiving of the first signal sequence.

6. A method in a first node according to any of claims 1 to 5, characterized by, Any signal in the K signals comprises a plurality of sub-signals, any sub-signal comprised by any signal in the K signals comprises at least one of PDSCH and DMRS.

7. A method in a first node according to any of claims 1 to 6, characterized by, receiving a first DCI; wherein the first DCI schedules the first signal sequence.

8. A terminal, characterized by comprising: The terminal comprises: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is configured to store computer program codes, the computer program codes comprise computer instructions, the one or more processors invoke the computer instructions to cause the terminal to perform the method according to any one of claims 1-7.

9. A method in a second node used for wireless communication, characterized by, Comprising: transmitting a first signal sequence on a same cell, the first signal sequence comprising K signals, any signal in the first signal sequence comprising at least one of PDSCH and DMRS, the K being a positive integer greater than 1; wherein a target receiver of the first signal sequence trains a first operation, the training of the first operation depending on reception quality of the K signals; an output of the first operation comprises channel information.

10. A method in a second node according to claim 9, characterised by, The target receiver of the first signal sequence performs the training of the first operation only when a first condition is satisfied.

11. A method in a second node according to claim 10, characterised by, The first condition comprises that reception quality of one signal in the K signals is higher than reception quality of a first signal, the first signal being a default one in the K signals.

12. A method in a second node according to claim 10, characterised by, The K signals are arranged in sequence; the first condition comprises that the K signals comprise two signals satisfying a second condition, the second condition being that reception quality of a signal arranged later is higher than reception quality of a signal arranged earlier.

13. A method in a second node according to any of claims 9-12, characterized by, Comprising: The target receiver of the first signal sequence initially trains the first operation; wherein the initial training of the first operation is earlier than the target receiver of the first signal sequence receiving the first signal sequence.

14. A method in a second node according to any of claims 9-13, characterized by, Any of the K signals includes a plurality of sub-signals, and any of the sub-signals included in any of the K signals includes at least one of a PDSCH and a DMRS.

15. A method in a second node according to any of claims 9-14, characterized by, transmitting a first DCI; wherein the first DCI schedules the first sequence of signals.

16. A base station, characterized by The base station comprises: one or more processors and a memory; The memory is coupled to the one or more processors, and the memory is configured to store computer program codes including computer instructions, and the one or more processors are configured to invoke the computer instructions to cause the base station to perform the method according to any one of claims 9-15.

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