Method and apparatus for wireless communication

Abstract

The invention discloses a method and an apparatus used for wireless communication. The first node measures on at least a first RS resource; the first information block and at least the first channel information are transmitted. The at least first channel information depends on a measurement on the at least first RS resource; a first set of parameters is used to generate the first channel information, and the first information block indicates the first set of parameters. According to the method, the reporting overhead is saved while the reporting performance is improved, so that the system performance is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to a transmission method and apparatus in a wireless communication system, and in particular, to a scheme and apparatus related to channel information in a wireless communication system. BACKGROUND

[0002] In a conventional wireless communication, a UE (User Equipment) reports various assistance information, such as channel information, beam management related assistance information, positioning related assistance information, HARQ-ACK (Hybrid Automatic Repeat reQuest Acknowledgement) information, beam / radio link failure assistance information, etc., obtained by measuring a downlink signal and / or channel. The UE reports the information to a network device, and the network device selects appropriate transmission parameters for the UE, such as a camping cell, MCS (Modulation and Coding Scheme), TPMI (Transmitted Precoding Matrix Indicator), TCI (Transmission Configuration Indication), etc., based on the report of the UE. In addition, the report of the UE can be used to optimize network parameters, such as better cell coverage, switching a base station according to a UE position, etc.

[0003] In NR R(release) 18, the research on AI(Artificial Intelligence) / ML(Machine Learning) technology is initiated to explore its impact on system performance and system design. AI / ML aims to greatly improve various performances of wireless communication by using advanced artificial intelligence and machine learning technology. By using AI / ML technology, the system can not only intelligently provide high-quality services, such as scheduling, data reception, signal processing, coding and decoding, measurement and reporting, etc., according to the perception and learning of the surrounding environment, but also intelligently realize the self-optimization and self-maintenance of the network. Compared with the conventional processing method, AI / ML has some unique characteristics, such as dependence on models, based on training, need to be deployed, and different requirements for computing / processing power and storage capacity from conventional technology, etc. 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

[0004] The applicant has found that, when AI / ML function is introduced, the existing measurement, calculation and reporting mechanism can not be able to adapt to the requirement of AI / ML. For example, AI / ML model is based on training, and the training relies on a large amount of training data. The measurement and transmission of a large amount of training data have an impact on the communication system, which is a problem to be considered. In view of the above problem, the present application discloses a solution. It should be noted that, although the motivation of the present application comes from the application of AI / ML, and a large number of embodiments are developed for AI / ML, the present application is also applicable to other solutions, such as traditional measurement, calculation and reporting solutions. Although the present application involves some description of AI / ML model and algorithm in the specification, however, the person skilled in the art knows that these descriptions are not necessary or irreplaceable for the solution related to wireless cellular communication. In addition, using a unified solution in different scenarios (including but not limited to AI / ML based solution and traditional measurement, calculation and reporting solution) helps to reduce signaling overhead / complexity, reduce hardware complexity and cost. In the case of no conflict, the embodiments in the first node and the features in the embodiments of the present application can be applied to the second node, and vice versa. 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.

[0005] In the case of need, the explanation of the terms in the present application is referred to the definition of 3GPP specification protocol TS38 series, or, referred to the definition of 3GPP specification protocol TS28 series.

[0006] The present application discloses a method in a first node used for wireless communication, characterized in that, comprising:

[0007] Measuring on at least a first RS resource;

[0008] Sending a first information block and at least a first channel information;

[0009] Wherein, the at least first channel information depends on the measurement on the at least first RS resource; a first parameter set is used to generate the first channel information, and the first information block indicates the first parameter set.

[0010] As an embodiment, the problem to be solved by the present application includes how to optimize the reporting of channel information; in the above method, the first parameter set used to generate the first channel information is indicated by the first information block, which solves this problem.

[0011] As an embodiment, the benefits of the above method include allowing the first node to determine and indicate the parameter set used to generate the reported channel information according to the actual channel environment, such as but not limited to the characteristics in time domain, frequency domain or spatial domain, which improves the accuracy of channel information and saves system overhead at the same time.

[0012] As an example, the advantages of the above method include optimizing the overall system performance.

[0013] As an example, the advantages of the above method include flexible design and adaptability to different terminals.

[0014] As an example, the advantages of the above method include good forward compatibility.

[0015] According to one aspect of this application, the first channel information is directed to a first time-frequency resource, and the first parameter set depends on the first time-frequency resource.

[0016] As an example, the advantages of the above method include optimizing the first parameter set according to the actual channel characteristics within the first time-frequency resource, thereby improving the reporting quality while reducing the reporting overhead.

[0017] According to one aspect of this application, the first channel information is directed to a first time-frequency resource, and the first information block indicates the first time-frequency resource.

[0018] As an example, the advantages of the above method include determining the time-frequency resources targeted by the first channel information based on the actual channel characteristics, thereby further optimizing the accuracy and efficiency of the reporting.

[0019] According to one aspect of this application, the at least first channel information includes K1 channel information, where K1 is a positive integer greater than 1, and the first channel information is one of the K1 channel information; the first parameter set is used to generate the K1 channel information, the K1 channel information respectively targeting K1 time-frequency resources, the K1 time-frequency resources all belonging to a first time-frequency resource pool, and the first information block indicating the first time-frequency resource pool.

[0020] As an example, the advantages of the above method include more flexible reporting, better adaptation to different transmission environments, and optimization of reporting quality and overhead under different environments.

[0021] According to one aspect of this application, the at least first channel information includes second channel information, the first channel information being for a first time-frequency resource, the second channel information being for a second time-frequency resource, a second parameter set being used to generate the second channel information, the first parameter set being different from the second parameter set, and the first information block indicating the second parameter set.

[0022] As an example, the essence of the above method includes allowing different sets of parameters to be used to generate channel information for different time-frequency resources according to the actual channel environment. The above method further improves and optimizes the reporting quality and overhead, and further improves system performance.

[0023] According to one aspect of this application, the at least first channel information includes K1 channel information and K2 channel information, where K1 and K2 are positive integers greater than 1, the first channel information is one of the K1 channel information, and the second channel information is one of the K2 channel information; the first parameter set is used to generate the K1 channel information, and the second parameter set is used to generate the K2 channel information.

[0024] As an example, the advantages of the above method include more flexible reporting.

[0025] As an example, the advantages of the above method include good backward compatibility.

[0026] According to one aspect of this application, the K1 channel information points are respectively for K1 time-frequency resources, the K2 channel information points are respectively for K2 time-frequency resources, the K1 time-frequency resources all belong to a first time-frequency resource pool, the K2 time-frequency resources all belong to a second time-frequency resource pool, and the length of the first time-frequency resource pool is different from the length of the second time-frequency resource pool.

[0027] As an example, the advantages of the above method include optimizing and adjusting channel information reporting according to changes in the environment, thereby improving the reporting quality and overhead under different environments.

[0028] As an example, the advantages of the above method include good forward compatibility.

[0029] According to one aspect of this application, the at least first channel information belongs to a first dataset.

[0030] As an example, the advantages of the above method include better meeting the specific needs of AI or ML solutions and optimizing the performance improvements brought by AI or ML solutions.

[0031] According to one aspect of this application, the at least first channel information is transmitted on a first radio bearer, which is a new radio bearer other than the radio bearers supported by 3GPP R19.

[0032] As an example, the advantages of the above method include good forward compatibility.

[0033] According to one aspect of this application, the at least first channel information is associated with a first identifier, a first operation is associated with the first identifier, and the first operation includes inference.

[0034] As an example, the benefits of the above method include optimizing the performance of AI inference or ML inference.

[0035] As an example, the benefits of the above method include making AI / ML model training and inference more well-matched, further improving the performance of AI / ML solutions.

[0036] As an example, the advantages of the above method include making the AI / ML model more specialized, reducing the number of parameters required by the model, reducing complexity, and improving performance.

[0037] This application discloses a method used in a second node for wireless communication, characterized by comprising:

[0038] Receive the first information block and at least the first channel information;

[0039] The at least first channel information depends on measurements on at least a first RS resource; a first parameter set is used to generate the first channel information, and the first information block indicates the first parameter set.

[0040] According to one aspect of this application, the first channel information is directed to a first time-frequency resource, and the first parameter set depends on the first time-frequency resource.

[0041] According to one aspect of this application, the first channel information is directed to a first time-frequency resource, and the first information block indicates the first time-frequency resource.

[0042] According to one aspect of this application, the at least first channel information includes K1 channel information, where K1 is a positive integer greater than 1, and the first channel information is one of the K1 channel information; the first parameter set is used to generate the K1 channel information, the K1 channel information respectively targeting K1 time-frequency resources, the K1 time-frequency resources all belonging to a first time-frequency resource pool, and the first information block indicating the first time-frequency resource pool.

[0043] According to one aspect of this application, the at least first channel information includes second channel information, the first channel information being for a first time-frequency resource, the second channel information being for a second time-frequency resource, a second parameter set being used to generate the second channel information, the first parameter set being different from the second parameter set, and the first information block indicating the second parameter set.

[0044] According to one aspect of this application, the at least first channel information includes K1 channel information and K2 channel information, where K1 and K2 are positive integers greater than 1, the first channel information is one of the K1 channel information, and the second channel information is one of the K2 channel information; the first parameter set is used to generate the K1 channel information, and the second parameter set is used to generate the K2 channel information.

[0045] According to one aspect of this application, the K1 channel information points are respectively for K1 time-frequency resources, the K2 channel information points are respectively for K2 time-frequency resources, the K1 time-frequency resources all belong to a first time-frequency resource pool, the K2 time-frequency resources all belong to a second time-frequency resource pool, and the length of the first time-frequency resource pool is different from the length of the second time-frequency resource pool.

[0046] According to one aspect of this application, the at least first channel information belongs to a first dataset.

[0047] According to one aspect of this application, the at least first channel information is transmitted on a first radio bearer, which is a new radio bearer other than the radio bearers supported by 3GPP R19.

[0048] According to one aspect of this application, the at least first channel information is associated with a first identifier, a first operation is associated with the first identifier, and the first operation includes inference.

[0049] This application discloses a first node used for wireless communication, characterized in that it includes:

[0050] The first receiver measures on at least the first RS resource;

[0051] The first transmitter transmits a first information block and at least first channel information;

[0052] The at least first channel information depends on measurements on the at least first RS resource; a first parameter set is used to generate the first channel information, and the first information block indicates the first parameter set.

[0053] This application discloses a method used in a second node for wireless communication, characterized by comprising:

[0054] A first processor receives a first information block and at least first channel information;

[0055] The at least first channel information depends on measurements on at least a first RS resource; a first parameter set is used to generate the first channel information, and the first information block indicates the first parameter set.

[0056] As an example, compared with conventional solutions, this application has the following advantages:

[0057] More accurate channel information reporting improves system performance;

[0058] It improves reporting performance while saving reporting overhead;

[0059] Flexible design, excellent forward compatibility;

[0060] It fully optimizes the performance improvements brought by AI or ML technologies. Attached Figure Description

[0061] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0062] Figure 1 A flowchart illustrating at least a first RS resource, a first information block, and at least first channel information according to an embodiment of this application is shown;

[0063] Figure 2 A schematic diagram of a network architecture according to an embodiment of this application is shown;

[0064] Figure 3 A schematic diagram of an embodiment of a wireless protocol architecture for the user plane and control plane according to an embodiment of this application is shown;

[0065] Figure 4 A schematic diagram of a first communication device and a second communication device according to an embodiment of this application is shown;

[0066] Figure 5 The transmission between a first node and a second node according to one embodiment of this application is illustrated;

[0067] Figure 6 A schematic diagram of first channel information according to an embodiment of this application is shown;

[0068] Figure 7 A schematic diagram of first channel information according to an embodiment of this application is shown;

[0069] Figure 8 A schematic diagram of first channel information according to an embodiment of this application is shown;

[0070] Figure 9 A schematic diagram of first channel information for a first time-frequency resource according to an embodiment of this application is shown;

[0071] Figure 10A schematic diagram is shown illustrating a first channel information dependent on a measurement on at least a first RS resource according to an embodiment of this application;

[0072] Figure 11 A schematic diagram illustrating a first parameter set depending on a first time-frequency resource according to an embodiment of this application is shown;

[0073] Figure 12 A schematic diagram showing a first information block indicating a first time-frequency resource according to an embodiment of this application is illustrated;

[0074] Figure 13 A schematic diagram is shown showing K1 channel information for K1 time-frequency resources according to an embodiment of this application;

[0075] Figure 14 A schematic diagram showing K1 time-frequency resources belonging to a first time-frequency resource pool according to an embodiment of this application is illustrated;

[0076] Figure 15 A schematic diagram is shown illustrating how a first set of parameters, according to an embodiment of this application, is used to generate K1 channel information.

[0077] Figure 16 A schematic diagram of first channel information and second channel information according to an embodiment of this application is shown;

[0078] Figure 17 A schematic diagram of a first time-frequency resource and a second time-frequency resource according to an embodiment of this application is shown;

[0079] Figure 18 A schematic diagram of a first time-frequency resource and a second time-frequency resource according to an embodiment of this application is shown;

[0080] Figure 19 A schematic diagram is shown illustrating how a second set of parameters is used to generate second channel information according to an embodiment of this application;

[0081] Figure 20 A schematic diagram is shown illustrating how a second set of parameters, according to an embodiment of this application, is used to generate K2 channel information.

[0082] Figure 21 A schematic diagram is shown showing K1 time-frequency resources belonging to a first time-frequency resource pool and K2 time-frequency resources belonging to a second time-frequency resource pool according to an embodiment of this application;

[0083] Figure 22 A schematic diagram illustrating at least a first channel information belonging to a first dataset according to an embodiment of this application is shown;

[0084] Figure 23A schematic diagram illustrating the transmission of at least first channel information over a first radio bearer according to an embodiment of this application is shown;

[0085] Figure 24 A schematic diagram illustrating at least a first channel information and a first operation according to an embodiment of this application is shown, both associated with a first identifier;

[0086] Figure 25 A schematic diagram illustrating the deployment of a first operation according to an embodiment of this application is shown;

[0087] Figure 26 A schematic diagram of an artificial intelligence or machine learning-based processing system according to an embodiment of this application is shown;

[0088] Figure 27 A schematic diagram based on artificial intelligence or machine learning according to an embodiment of this application is shown;

[0089] Figure 28 A schematic diagram illustrating the deployment of AI functionality according to an embodiment of this application is shown;

[0090] Figure 29 A schematic diagram illustrating the deployment of AI functionality according to an embodiment of this application is shown;

[0091] Figure 30 A structural block diagram of a processing apparatus for a first node according to an embodiment of this application is shown;

[0092] Figure 31 A structural block diagram of a processing apparatus for a second node according to an embodiment of this application is shown. Detailed Implementation

[0093] The technical solutions of this application will be further described in detail below with reference to the accompanying drawings. It should be noted that, unless otherwise specified, the embodiments and features in the embodiments of this application can be arbitrarily combined with each other. Considering performance, flexibility, complexity, overhead, and compatibility, those skilled in the art are motivated to flexibly combine the embodiments in different drawings without conflict, such as, but not limited to, those in the accompanying drawings. Figure 1 Examples and appendices Figure 5 -Appendix Figure 31 The embodiments in the appendix Figure 5 Examples and appendices Figure 6 -Appendix Figure 31 Examples, etc.

[0094] Example 1

[0095] Example 1 illustrates a flowchart of at least a first RS resource, a first information block, and at least first channel information according to an embodiment of this application, as shown in the attached diagram. Figure 1 As shown. In the appendix Figure 1 In the 100 shown, each box represents a step. In particular, the order of the steps in the boxes does not represent a specific temporal relationship between the steps.

[0096] In Embodiment 1, the first node measures on at least a first RS resource in step 101; and transmits a first information block and at least first channel information in step 102. The at least first channel information depends on the measurement on the at least first RS resource; a first parameter set is used to generate the first channel information, and the first information block indicates the first parameter set.

[0097] As an example, the at least first RS (Reference Signal) resource includes only the first RS resource.

[0098] As one embodiment, the at least first RS resource includes one or more RS resources other than the first RS resource.

[0099] As an example, the at least first RS resource includes a CSI-RS (Channel State Information Reference Signal) resource.

[0100] As an example, the at least first RS resource includes an SS / PBCH (Synchronization Signal / Physical Broadcast Channel) block resource.

[0101] As an example, the at least first RS resource includes DMRS (Demodulation Reference Signal).

[0102] As an example, the at least first RS resource includes a PRS (Positioning Reference Signal) resource.

[0103] As an example, the at least first RS resource includes PTRS (Phase-Tracking Reference Signal).

[0104] As an example, the first RS resource is a CSI-RS resource.

[0105] As an example, the first RS resource is an SS / PBCHblock resource.

[0106] As an example, the first RS resource is a DMRS.

[0107] As an example, the first RS resource is a PRS resource.

[0108] As an example, the first RS resource is PTRS.

[0109] As an example, measuring on at least a first RS resource means measuring the RS transmitted on the at least first RS resource.

[0110] As one embodiment, measurement on at least a first RS resource includes measuring the RS transmitted on each of the at least first RS resources.

[0111] As one embodiment, measurement on at least a first RS resource includes measuring RS transmitted on a portion of the at least first RS resources.

[0112] As one example, the measurement includes channel measurement.

[0113] As one example, the measurement includes the measurement of received power.

[0114] As an example, the measurement includes the measurement of the channel matrix.

[0115] As one example, the measurement includes interference measurement.

[0116] As one example, the first information block includes CSI (Channel State Information).

[0117] As one example, the first information block includes UCI (Uplink Control Information).

[0118] As an example, the first information block includes a MAC CE (Medium Access Control layer Control Element).

[0119] As an example, the first information block includes RRC (Radio Resource Control) IE (Information Element).

[0120] As one embodiment, the first information block includes UE capability IE.

[0121] As one embodiment, the first information block and the at least first channel information are transmitted on the same physical layer channel.

[0122] As one embodiment, the first information block and the at least first channel information are transmitted on different physical layer channels.

[0123] As one embodiment, the first information block and the at least first channel information are transmitted on the same cell.

[0124] As one embodiment, the first information block and the at least first channel information are transmitted on different cells.

[0125] As an example, both the first information block and the at least first channel information are generated at the physical layer.

[0126] As an example, the first information block is generated at the MAC layer, and the at least first channel information is generated at the physical layer.

[0127] As one embodiment, the at least first channel information is generated at the physical layer, and the first information block is generated at a higher layer.

[0128] As an example, the transmission of the first information block is earlier than the transmission of the at least first channel information.

[0129] As an example, the transmission of the first information block is later than the transmission of the at least first channel information.

[0130] As one example, the first channel information includes CSI.

[0131] As an example, the first channel information includes one or more of the following: CQI (Channel Quality Indicator), PMI (Precoding Matrix Indicator), CRI (CSI-RS Resource Indicator), LI (Layer Indicator), RI (Rank Indicator), SSBRI (SS / PBCH Block Resource Indicator), RSRP (Reference Signal Received Power), SINR (Signal-to-Interference and Noise Ratio), RSRQ (Reference Signal Received Quality), RSSI (Received Signal Strength Indicator), Capability Index, and TDCP (Time Domain Channel Properties).

[0132] In a preferred embodiment, the first channel information includes PMI.

[0133] As one example, the first channel information includes PMI and RI.

[0134] As one example, the first channel information includes PMI, RI, and CQI.

[0135] As one embodiment, the first channel information includes a precoding matrix.

[0136] As one embodiment, the first channel information includes precoding information.

[0137] In a preferred embodiment, the first channel information is used to determine at least one precoding matrix.

[0138] As an example, the first channel information includes one of RSRP, SINR, RSRQ, or RSSI.

[0139] In a preferred embodiment, the first channel information includes a codebook-based PMI.

[0140] As one embodiment, the first channel information includes a PMI, and the PMI included in the first channel information is based on a codebook supported by 3GPP R18 or earlier versions.

[0141] As one embodiment, the first channel information includes PMI, and the PMI included in the first channel information is based on the Type II codebook.

[0142] As an example, the definition of the Type II codebook can be found in section 5.2.2 of 3GPP TS38.214.

[0143] As one embodiment, the at least first channel information includes only the first channel information.

[0144] As one embodiment, the at least first channel information includes one or more channel information other than the first channel information.

[0145] As an example, any of the channel information in the at least first channel information includes CSI.

[0146] As an example, any of the channel information in the at least first channel information includes one or more of CQI, PMI, CRI, LI, RI, SSBRI, RSRP, SINR, capability index, and TDCP.

[0147] As an example, any of the channel information in the at least first channel information includes PMI.

[0148] As an example, any of the channel information in the at least first channel information includes PMI and RI.

[0149] As an example, any of the channel information in the at least first channel information includes PMI, RI, and CQI.

[0150] As an example, any one of the channel information in the at least first channel information is used to determine at least one precoding matrix.

[0151] As an example, the first channel information depends on the measurement on the at least first RS resource.

[0152] As an example, the first channel information depends on measurements on each of the at least first RS resources.

[0153] As an example, the first channel information depends on measurements on only a portion of the RS resources in the at least first RS resources.

[0154] As an example, the first node obtains channel measurements for calculating the first channel information based on the at least first RS resources.

[0155] As an example, the first node obtains channel measurements for calculating the first channel information based solely on the at least first RS resource.

[0156] As an example, the first node obtains channel measurements for calculating the first channel information based on each of the at least first RS resources.

[0157] As an example, the first node obtains channel measurements for calculating the first channel information based only on a portion of the RS resources in the at least first RS resources.

[0158] As an example, any one of the at least first channel information depends on the measurement on the at least first RS resource.

[0159] As an example, the first node obtains channel measurements for calculating any one of the at least first channel information based on the at least first RS resources.

[0160] As an example, any one of the channel information in the at least first channel information corresponds to an RS resource identifier.

[0161] As a sub-implementation of the above embodiments, the RS resource identifier indicates an RS resource.

[0162] As a sub-implementation of the above embodiments, the RS resource identifier indicates one of the at least first RS resources.

[0163] As a sub-implementation of the above embodiments, the RS resource indicated by the RS resource identifier does not belong to the at least first RS resource.

[0164] As a sub-example of the above embodiments, any channel information depends on the measurement on the RS resource indicated by the RS resource identifier.

[0165] As a sub-implementation of the above embodiment, the first node sends the at least one RS resource identifier.

[0166] As one example, the first parameter set includes one or more parameters.

[0167] As one embodiment, the first channel information includes a codebook-based PMI, and the first parameter set includes parameters of the codebook.

[0168] As one embodiment, the first channel information includes a PMI based on a Type II codebook, and the first parameter set includes parameters from the Type II codebook.

[0169] As one example, the number of bits included in the first channel information depends on the first parameter set.

[0170] As an example, the size of the first channel information depends on the first set of parameters.

[0171] As an example, the payload size of the first channel information depends on the first set of parameters.

[0172] As an example, the accuracy of the first channel information depends on the first set of parameters.

[0173] As an example, the first information block explicitly indicates the first parameter set.

[0174] As one embodiment, the first information block indicates each parameter in the first parameter set.

[0175] As one embodiment, the first information block indicates the first parameter set from a plurality of candidate parameter sets.

[0176] As an example, some parameters in the first parameter set are the same as some parameters in a reference parameter set, while other parameters in the first parameter set are different from other parameters in the reference parameter set. The first information block only indicates the other part of the parameters in the first parameter set.

[0177] As an example, the first information block implicitly indicates the first parameter set.

[0178] As an example, the first information block indicates the first parameter set by indicating other information.

[0179] As an example, the other information includes, but is not limited to, one or more of the following: channel environment type, mobile speed, subcarrier spacing, carrier frequency, delay spread, Doppler spread, Doppler shift, average delay, and spatial reception parameters.

[0180] As one example, the first set of parameters includes frequency domain configuration parameters.

[0181] As an example, the frequency domain configuration parameters include higher-level parameters whose names include reportFreqConfiguration.

[0182] As one embodiment, the first set of parameters includes the number of beams.

[0183] As an example, the number of beams includes higher-level parameters whose names include numberOfBeams.

[0184] As an example, the first parameter set includes parameters related to the number of vectors.

[0185] As an example, the parameters related to the number of vectors include one or more of the following: higher-level parameters whose names include paramCombination, higher-level parameters whose names include numberOfPMI-SubbandsPerCQI-Subband, and higher-level parameters whose names include td-dd-config.

[0186] As an example, the first parameter set includes parameters related to the number of coefficients.

[0187] As an example, the parameters related to the number of coefficients include one or more of the following: higher-level parameters whose names include numberOfBeams, higher-level parameters whose names include paramCombination, higher-level parameters whose names include numberOfPMI-SubbandsPerCQI-Subband, and higher-level parameters whose names include td-dd-config.

[0188] As an example, the first parameter set includes parameters related to coefficient quantization.

[0189] As an example, the parameters related to coefficient quantization include one or more of the following: higher-level parameters whose names include "paramCombination" and higher-level parameters whose names include "numberOfPMI-SubbandsPerCQI-Subband".

[0190] As one example, the first set of parameters includes time slot interval configuration parameters.

[0191] As an example, the time slot interval configuration parameters include higher-level parameters whose names include td-dd-config.

[0192] As an example, the first parameter set includes higher-level parameters whose names include reportFreqConfiguration.

[0193] As an example, the first parameter set includes higher-level parameters whose names include numberOfBeams.

[0194] As an example, the first parameter set includes higher-level parameters whose names include "paramCombination".

[0195] As an example, the first parameter set includes higher-level parameters whose names include numberOfPMI-SubbandsPerCQI-Subband.

[0196] As an example, the first parameter set includes higher-level parameters whose names include td-dd-config.

[0197] As an example, the first parameter set includes higher-level parameters whose names include paramCombination-Doppler.

[0198] As one embodiment, the first channel information indicates multiple vectors and multiple coefficients.

[0199] As a sub-implementation of the above embodiments, the first parameter set is used to generate the plurality of vectors and the plurality of coefficients.

[0200] As a sub-implementation of the above embodiments, the generation of the plurality of vectors and the plurality of coefficients depends on the first parameter set.

[0201] As a sub-implementation of the above embodiments, the plurality of vectors and the plurality of coefficients are used to generate at least one precoding matrix.

[0202] As a reference embodiment of the above sub-example, any one of the at least one precoding matrix depends on the sum of the plurality of vectors after being weighted by weighted coefficients, wherein the weighted coefficients depend on the plurality of coefficients.

[0203] As a sub-implementation of the above embodiments, the number of vectors indicated by the first channel information depends on the first parameter set.

[0204] As a sub-implementation of the above embodiments, the number of coefficients indicated by the first channel information depends on the first parameter set.

[0205] As a sub-implementation of the above embodiments, the number of coefficients of the non-fixed values ​​indicated by the first channel information depends on the first parameter set.

[0206] As a sub-implementation of the above embodiments, the upper limit of the number of coefficients of non-fixed values ​​indicated by the first channel information depends on the first parameter set.

[0207] As a sub-implementation of the above embodiments, the plurality of coefficients includes amplitude coefficients, and the number of non-zero amplitude coefficients indicated by the first channel information depends on the first parameter set.

[0208] As a sub-implementation of the above embodiments, the plurality of coefficients includes amplitude coefficients, and the upper limit of the number of non-zero amplitude coefficients indicated by the first channel information depends on the first parameter set.

[0209] As a sub-implementation of the above embodiments, the value range of at least one of the plurality of coefficients depends on the first parameter set.

[0210] As a sub-implementation of the above embodiments, the first parameter set includes the number of beams, and the number of vectors indicated by the first channel information depends on the number of beams included in the first parameter set.

[0211] As a sub-implementation of the above embodiments, the first parameter set includes parameters related to the number of vectors, and the number of vectors indicated by the first channel information depends on the parameters related to the number of vectors included in the first parameter set.

[0212] As a sub-implementation of the above embodiments, the first parameter set includes parameters related to the number of coefficients, and the number of coefficients indicated by the first channel information depends on the parameters related to the number of coefficients included in the first parameter set.

[0213] As a sub-implementation of the above embodiments, the first parameter set includes parameters related to coefficient quantization, and the value range of at least one of the plurality of coefficients depends on the parameters related to coefficient quantization included in the first parameter set.

[0214] As an example, the first channel information is used to determine a plurality of precoding matrices, each of which is for a plurality of time-frequency resources.

[0215] As a sub-implementation of the above embodiments, the number of precoding matrices used to determine the first channel information depends on the first parameter set.

[0216] As a sub-implementation of the above embodiments, the plurality of time-frequency resources depend on the first parameter set.

[0217] As a sub-implementation of the above embodiments, at least one of the time-domain length and frequency-domain length of any of the plurality of time-frequency resources depends on the first parameter set.

[0218] As a sub-implementation of the above embodiments, the first parameter set includes a time slot interval configuration parameter, and the number of precoding matrices used to determine the first channel information depends on the time slot interval configuration parameter included in the first parameter set.

[0219] As a sub-implementation of the above embodiments, the first parameter set includes time slot interval configuration parameters, and the time domain length of any time-frequency resource among the plurality of time-frequency resources depends on the time slot interval configuration parameters included in the first parameter set.

[0220] As a sub-implementation of the above embodiments, the first parameter set includes frequency domain configuration parameters, and the frequency domain length of any time-frequency resource among the plurality of time-frequency resources depends on the frequency domain configuration parameters included in the first parameter set.

[0221] As one embodiment, a precoding matrix for a time-frequency resource includes: the precoding matrix relating to the time-frequency resource.

[0222] As one embodiment, a precoding matrix for a time-frequency resource includes: the precoding matrix being reported for the time-frequency resource.

[0223] As an example, a precoding matrix includes a time-frequency resource, and the precoding matrix is ​​valid within the time-frequency resource.

[0224] As one embodiment, a precoding matrix for a time-frequency resource includes: channel measurements used to compute the precoding matrix are obtained from RS located within the time-frequency resource.

[0225] As an example, a precoding matrix for a time-frequency resource includes: the CSI reference resource of the precoding matrix is ​​the time-frequency resource.

[0226] As an example, the definition of the CSI reference resource is based on 3GPP TS38.214.

[0227] As an example, the time domain length of a time-frequency resource is expressed as s (seconds), ms (milliseconds), or μs (microseconds).

[0228] As an example, the time-domain length of a time-frequency resource is represented as the number of symbols, the number of time slots, the number of frames, or the number of subframes.

[0229] As an example, the frequency domain length of a time-frequency resource is expressed in Hz, kHz, or MHz.

[0230] As an example, the frequency domain length of a time-frequency resource is represented by the number of subcarriers, the number of RBs (Resource Blocks), or the number of sub-bands.

[0231] As an example, the first channel information is used to determine W precoding matrices, where W is a positive integer.

[0232] As an example, the first channel information is used to determine W precoding matrices, each of which is for one of the W PMI subbands, where W is a positive integer.

[0233] As an example, the first channel information indicates the W precoding matrices.

[0234] As an example, W depends on the first set of parameters.

[0235] As an example, the first parameter set includes W.

[0236] As an example, the first set of parameters indicates W.

[0237] As an example, W equals 1.

[0238] As an example, W is greater than 1.

[0239] As an example, the length of each PMI subband in the W PMI subbands depends on the first set of parameters.

[0240] As an example, the first parameter set indicates the length of each PMI subband among the W PMI subbands.

[0241] As an example, a PMI subband includes a positive integer number of consecutive RBs.

[0242] As an example, a PMI subband is a subband.

[0243] As an example, a PMI subband is a subband or a part of a subband.

[0244] As an example, a subband includes at least one PMI subband.

[0245] As one embodiment, the number of PMI subbands included in a subband depends on the first set of parameters.

[0246] As an example, the length of a PMI subband refers to the number of RBs included in the PMI subband.

[0247] As an example, the time-frequency resources targeted by the first channel information include W1 sub-bands, where W1 is a positive integer, and W depends on W1 and a first coefficient, where the first coefficient is a positive integer.

[0248] As a sub-example of the above embodiment, the number of RBs included in any PMI subband among the W PMI subbands depends on the first coefficient.

[0249] As a sub-implementation of the above embodiments, the first coefficient indicates the number of PMI subbands included in a subband.

[0250] As a sub-implementation of the above embodiments, the larger the first coefficient, the smaller the number of RBs included in a PMI subband.

[0251] As a sub-implementation of the above embodiment, W is equal to W1, and the W PMI subbands are the W1 subbands.

[0252] As a sub-implementation of the above embodiment, when the first coefficient is equal to 1, W is equal to W1, and the W PMI subbands are the W1 subbands.

[0253] As a sub-example of the above embodiment, when the first coefficient is greater than 1, W is not greater than the product of W1 and the first coefficient.

[0254] As a sub-implementation of the above embodiment, when the first coefficient is greater than 1, W is equal to the product of W1 and the first coefficient, the product of W1 and the first coefficient minus 1, or the product of W1 and the first coefficient minus 2.

[0255] As a sub-implementation of the above embodiment, when the first coefficient is greater than 1, each of the W PMI subbands, except for the first and last PMI subbands, is composed of a portion of the RB of one of the W1 subbands.

[0256] As a reference embodiment of the above sub-example, when the first sub-band among the W1 sub-bands is the first sub-band of BWP, the first PMI sub-band among the W PMI sub-bands is the first sub-band or is composed of a portion of the RBs of the first sub-band.

[0257] As a reference embodiment of the above sub-example, when the last sub-band among the W1 sub-bands is the last sub-band of BWP, the last PMI sub-band among the W PMI sub-bands is the last sub-band or is composed of a portion of the RB of the last sub-band.

[0258] As a sub-implementation of the above embodiment, the first parameter set indicates the W1 sub-bands.

[0259] As a sub-implementation of the above embodiments, the first parameter set includes frequency domain configuration parameters, and the frequency domain configuration parameters included in the first parameter set indicate the W1 sub-bands.

[0260] As a sub-implementation of the above embodiments, the first parameter set indicates the first coefficient.

[0261] As an example, W1 is equal to 1.

[0262] As an example, W1 is greater than 1.

[0263] As an example, the first channel information is used to determine N precoding matrix groups, each of which is for N slot intervals, where N is a positive integer.

[0264] As an example, N equals 1.

[0265] As an example, N is greater than 1.

[0266] As one example, N depends on the first set of parameters.

[0267] As an example, the first parameter set includes N.

[0268] As an example, the first set of parameters indicates the N.

[0269] As an example, the length of each of the N time slot intervals depends on the first set of parameters.

[0270] As an example, the first parameter set indicates the length of each of the N time slot intervals.

[0271] As an example, the N time slot intervals are continuous in the time domain.

[0272] As an example, the N time slot intervals are of equal length.

[0273] As an example, each of the N precoding matrix groups includes W precoding matrices.

[0274] As a sub-implementation of the above embodiments, W depends on the first parameter set.

[0275] As a sub-implementation of the above embodiment, the W precoding matrices are respectively for W PMI subbands.

[0276] As an example, a time slot interval comprises a positive integer number of consecutive time slots.

[0277] As an example, the length of a time slot interval refers to the number of time slots included in the time slot interval.

[0278] As an example, the first parameter set includes a time slot interval configuration parameter, and the length of N and each of the N time slot intervals depends on the time slot interval configuration parameter included in the first parameter set.

[0279] As a sub-implementation of the above embodiments, the first parameter set includes a time slot interval configuration parameter indicating the number of first time slot intervals, where N is equal to the number of first time slot intervals.

[0280] As a sub-implementation of the above embodiments, the first parameter set includes a time slot interval configuration parameter indicating the number of first time slot intervals, and N depends on the number of first time slot intervals.

[0281] As a reference embodiment of the above sub-example, N increases with the increase of the number of the first time slot intervals.

[0282] As a sub-implementation of the above embodiments, the time slot interval configuration parameter included in the first parameter set indicates the length of the first time slot interval, and the length of each of the N time slot intervals is equal to the length of the first time slot interval.

[0283] As a sub-implementation of the above embodiments, the time slot interval configuration parameter included in the first parameter set indicates the length of the first time slot interval, and the length of each of the N time slot intervals depends on the length of the first time slot interval.

[0284] As a reference embodiment of the above sub-example, the length of any one of the N time slot intervals increases as the length of the first time slot interval increases.

[0285] As one example, the first channel information indicates L vectors.

[0286] As a sub-implementation of the above embodiment, the L vectors are used to compute the W precoding matrices.

[0287] As a sub-implementation of the above embodiment, the W precoding matrices depend on the sum of the L vectors after being weighted by weighted coefficients.

[0288] As one embodiment, the first channel information indicates L vectors and M vectors.

[0289] As a sub-implementation of the above embodiment, the L vectors and the M vectors are used together to calculate the W precoding matrices.

[0290] As a sub-implementation of the above embodiment, the W precoding matrices depend on the sum of the L vectors after being weighted by weighting coefficients, and the weighting coefficients depend on the M vectors.

[0291] As one embodiment, the first channel information indicates L vectors and L2 coefficient groups, where L2 is equal to L multiplied by 2.

[0292] As a sub-implementation of the above embodiment, the L vectors and the L2 coefficient groups are used together to calculate the W precoding matrices.

[0293] As a sub-implementation of the above embodiment, the W precoding matrices depend on the sum of the L vectors after being weighted by weighted coefficients, and the weighted coefficients depend on the L2 coefficient groups.

[0294] As one embodiment, the first channel information indicates L vectors, M vectors and L2 coefficient groups, where L2 is equal to L multiplied by 2.

[0295] As a sub-implementation of the above embodiment, the L vectors, the M vectors, and the L2 coefficient groups are used together to calculate the W precoding matrices.

[0296] As a sub-implementation of the above embodiment, the W precoding matrices depend on the sum of the L vectors after being weighted by weighted coefficients, and the weighted coefficients depend on the M vectors and the L2 coefficient groups.

[0297] As one embodiment, the first channel information indicates L vectors, M vectors, Q vectors and L2 coefficient groups, where L2 is equal to L multiplied by 2.

[0298] As a sub-implementation of the above embodiment, the L vectors, the M vectors, the Q vectors, and the L2 coefficient groups are used together to calculate the N precoding matrix groups.

[0299] As a sub-implementation of the above embodiment, the N precoding matrix groups depend on the sum of the L vectors after being weighted by weighted coefficients, and the weighted coefficients depend on the M vectors, the Q vectors and the L2 coefficient groups.

[0300] In a preferred embodiment, the first channel information sequentially indicates the L vectors.

[0301] In a preferred embodiment, the first channel information sequentially indicates the M vectors.

[0302] In a preferred embodiment, the first channel information sequentially indicates the Q vectors.

[0303] In a preferred embodiment, the first channel information sequentially indicates the L2 coefficient groups.

[0304] As an example, L is a positive integer greater than 1.

[0305] As an example, L is the number of beams.

[0306] As one example, L depends on the number of beams.

[0307] As an example, L increases with the number of beams.

[0308] As an example, the L vectors are mutually orthogonal.

[0309] As an example, the L vectors represent L beams.

[0310] As an example, the length of any one of the L vectors depends on the number of ports.

[0311] As an example, the length of any one of the L vectors is equal to the number of ports of one of the at least first RS resources.

[0312] As an example, any one of the L vectors can be represented as in Where q1 and q2 are positive integers, the value of q1 and the value of q2 are different for any two different vectors among the L vectors, N1, N2, O1 and O2 are positive integers, N1 and N2 are the number of ports, and O1 and O2 depend on N1 and N2.

[0313] As a sub-implementation of the above embodiments, the first parameter set includes O1 and O2.

[0314] As a sub-implementation of the above embodiments, the first parameter set indicates O1 and O2.

[0315] As a sub-implementation of the above embodiment, the number of ports of one of the at least first RS resources is equal to the product of N1 and N2.

[0316] As a sub-example of the above embodiment, the number of ports of the first RS resource is equal to the product of N1 and N2.

[0317] As one example, the port includes an antenna port.

[0318] As one example, the port includes an RS port.

[0319] As one example, the port includes a CSI-RS port.

[0320] As an example, the L vectors are related to spatial domain characteristics or angular domain characteristics.

[0321] As an example, the first channel information explicitly indicates the L vectors.

[0322] As an example, the first channel information implicitly indicates the L vectors.

[0323] As an example, the first channel information indicates the L vectors by indicating q1 and q2.

[0324] As an example, L depends on the first set of parameters.

[0325] The advantages of the above method include determining L based on the actual spatial or angular domain characteristics of the channel, which improves the accuracy of channel information while reducing reporting overhead.

[0326] As an example, the first parameter set includes L.

[0327] As an example, the first set of parameters indicates the L.

[0328] As an example, the first parameter set includes the number of beams, and L is equal to the number of beams in the first parameter set.

[0329] As one embodiment, the first parameter set includes the number of beams, and L depends on the number of beams in the first parameter set.

[0330] As a sub-example of the above embodiment, L increases with the increase of the number of beams in the first parameter set.

[0331] As an example, M is a positive integer greater than 1.

[0332] As an example, the M vectors are mutually orthogonal pairwise.

[0333] As an example, the length of any one of the M vectors is equal to the length of W.

[0334] As an example, any one of the M vectors can be represented as Wherein, q3 is a positive integer, and the value of q3 is different for any two different vectors among the M vectors.

[0335] As an example, the M vectors are related to frequency domain characteristics or time delay domain characteristics.

[0336] As an example, the first channel information explicitly indicates the M vectors.

[0337] As an example, the first channel information implicitly indicates the M vectors.

[0338] As an example, the first channel information indicates the M vectors by indicating q3.

[0339] As one example, M depends on the first set of parameters.

[0340] The advantages of the above method include determining M based on the actual frequency domain or delay domain characteristics of the channel, which improves the accuracy of channel information while reducing reporting overhead.

[0341] As one embodiment, the time-frequency resources targeted by the first channel information include W1 sub-bands, and M depends on W1.

[0342] As an example, M increases as W1 increases.

[0343] As an example, M depends on W.

[0344] As an example, M increases as W increases.

[0345] As an example, M depends on the product of W and a second coefficient, where the second coefficient is a positive real number less than 1.

[0346] As an example, M depends on W, the first coefficient and the second coefficient, wherein the second coefficient is a positive real number less than 1.

[0347] As an example, M is equal to W divided by the first coefficient, multiplied by the second coefficient, and then rounded down.

[0348] As a sub-implementation of the above embodiments, the rounding refers to rounding up.

[0349] As an example, the second coefficient is configurable.

[0350] As an example, the first set of parameters includes the second coefficient.

[0351] As an example, the first set of parameters indicates the second coefficient.

[0352] As an example, the first parameter set indicates the W1 sub-bands.

[0353] As an example, the first parameter set indicates the first coefficient.

[0354] As an example, Q is a positive integer greater than 1.

[0355] As an example, the Q vectors are pairwise orthogonal.

[0356] As an example, the length of any one of the Q vectors is equal to the length of N.

[0357] As an example, any one of the Q vectors can be represented as Wherein, q4 is a positive integer, and the value of q4 is different for any two different vectors among the Q vectors.

[0358] As an example, the Q vectors are related to Doppler domain characteristics or time domain characteristics.

[0359] As an example, the first channel information explicitly indicates the Q vectors.

[0360] As an example, the first channel information implicitly indicates the Q vectors.

[0361] As an example, the first channel information indicates the Q vectors by indicating q4.

[0362] As one example, Q depends on the first set of parameters.

[0363] The advantages of the above method include determining Q based on the actual Doppler domain or time domain characteristics of the channel, which improves the accuracy of channel information while reducing reporting overhead.

[0364] As an example, the first parameter set includes Q.

[0365] As an example, the first set of parameters indicates Q.

[0366] As an example, the number of coefficients included in each of the L2 coefficient groups depends on the first parameter set.

[0367] As an example, any one of the L2 coefficient groups includes at least one amplitude coefficient.

[0368] As an example, any one of the L2 coefficient groups includes at least one phase coefficient.

[0369] As an example, any one of the L2 coefficient groups includes at least one sub-band amplitude coefficient.

[0370] As an example, any one of the L2 coefficient groups includes at least one amplitude coefficient and at least one phase coefficient.

[0371] As an example, any one of the L2 coefficient groups includes at least one amplitude coefficient, at least one phase coefficient, and at least one sub-band amplitude coefficient.

[0372] As an example, the weighting coefficient of any of the L vectors depends on the product of the amplitude coefficient and the phase coefficient.

[0373] As an example, the weighting coefficient of any of the L vectors is equal to the product of an amplitude coefficient, a phase coefficient, and a sub-band amplitude coefficient.

[0374] As an example, the first channel information explicitly indicates the L2 coefficient groups.

[0375] As an example, the first channel information implicitly indicates the L2 coefficient groups.

[0376] As an example, the first channel information explicitly indicates a portion of the coefficients in the L2 coefficient groups and implicitly indicates another portion of the coefficients in the L2 coefficient groups.

[0377] As an example, the first channel information indicates the coefficient group in which the strongest coefficient is located, and the coefficient group in which the strongest coefficient is located includes an amplitude coefficient, a phase coefficient, and a sub-band amplitude coefficient, all of which are 1.

[0378] As an example, at least one of the number of coefficients and the range of values ​​in the L2 coefficient groups depends on the first parameter set.

[0379] The advantages of the above method include adjusting the reporting accuracy according to the actual channel characteristics, which improves the accuracy of channel information while reducing reporting overhead.

[0380] As an example, the number of amplitude coefficients included in the L2 coefficient groups depends on the first parameter set.

[0381] As an example, the range of values ​​for at least one amplitude coefficient in the L2 coefficient groups depends on the first parameter set.

[0382] As an example, the first parameter set indicates the range of values ​​for at least one amplitude coefficient in the L2 coefficient groups.

[0383] As an example, the range of values ​​for any amplitude coefficient in the L2 coefficient groups depends on the first parameter set.

[0384] As an example, the first parameter set indicates the range of values ​​for any amplitude coefficient in the L2 coefficient groups.

[0385] As an example, the first parameter set indicates an upper limit on the number of non-zero amplitude coefficients included in at least one of the L2 coefficient groups.

[0386] As an example, the first parameter set indicates the upper limit of the total number of non-zero amplitude coefficients included in the L2 coefficient groups.

[0387] As an example, the number of phase coefficients included in the L2 coefficient groups depends on the first parameter set.

[0388] As an example, the range of values ​​for at least one phase coefficient in the L2 coefficient groups depends on the first parameter set.

[0389] As an example, the first parameter set indicates the range of values ​​for at least one phase coefficient in the L2 coefficient groups.

[0390] As an example, the range of values ​​for any phase coefficient in the L2 coefficient groups depends on the first parameter set.

[0391] As an example, the first parameter set indicates the range of values ​​for any phase coefficient in the L2 coefficient groups.

[0392] As an example, the number of non-fixed phase coefficients in the L2 coefficient groups depends on the first parameter set.

[0393] As an example, the first parameter set indicates the upper limit of the number of non-fixed phase coefficients in the L2 coefficient groups.

[0394] As an example, the number of non-fixed sub-band amplitude coefficients in the L2 coefficient groups depends on the first parameter set.

[0395] As an example, the first parameter set indicates the upper limit of the number of non-fixed value subband amplitude coefficients in the L2 coefficient groups.

[0396] As an example, the range of values ​​for at least one sub-band amplitude coefficient in the L2 coefficient groups depends on the first parameter set.

[0397] As an example, the first parameter set indicates the range of values ​​for at least one sub-band amplitude coefficient in the L2 coefficient groups.

[0398] As an example, the number of sub-band amplitude coefficients that are fixed at 1 in the L2 coefficient groups depends on the first parameter set.

[0399] As an example, the first parameter set indicates how many sub-band amplitude coefficients in the L2 coefficient groups are fixed at 1.

[0400] As an example, the amplitude coefficient is a non-negative real number not greater than 1.

[0401] As an example, the phase coefficient is a complex number with a modulus of 1.

[0402] As an example, the sub-band amplitude coefficient is a positive real number not greater than 1.

[0403] As an example, the range of values ​​for a coefficient indicates the quantization precision of that coefficient.

[0404] As an example, the range of values ​​for a coefficient is related to the quantization precision of that coefficient.

[0405] As one embodiment, the first channel information indicates L vectors, where L depends on the first set of parameters.

[0406] As one embodiment, the first channel information indicates L vectors and M vectors, where both L and M depend on the first parameter set.

[0407] As one embodiment, the first channel information indicates L vectors and L2 coefficient groups, where L2 is equal to L multiplied by 2, L depends on the first parameter set, and at least one of the number of coefficients in the L2 coefficient groups and the value range of at least one coefficient depends on the first parameter set.

[0408] As one embodiment, the first channel information indicates L vectors, M vectors and L2 coefficient groups, where L2 is equal to L multiplied by 2, and both L and M depend on the first parameter set. At least one of the number of coefficients in the L2 coefficient groups and the value range of at least one coefficient depends on the first parameter set.

[0409] As one embodiment, the first channel information indicates L vectors, M vectors, Q vectors and L2 coefficient groups, where L2 is equal to L multiplied by 2, and both L and M depend on the first parameter set. At least one of the number of coefficients in the L2 coefficient groups and the value range of at least one coefficient depends on the first parameter set.

[0410] As an example, the first node determines the first parameter set.

[0411] As an example, the first node determines the first parameter set on its own.

[0412] The advantages of the above method include giving the first node sufficient degrees of freedom to select the first parameter set according to the actual channel conditions, thereby optimizing the reporting.

[0413] Example 2

[0414] Example 2 illustrates a schematic diagram of a network architecture according to an embodiment of this application, as shown in the attached diagram. Figure 2 As shown.

[0415] Appendix Figure 2The network architecture 200 is described. The network architecture 200 is a 5G NR (New Radio) / LTE (Long-Term Evolution) / LTE-A (Long-Term Evolution Advanced) system, or a 5G+ network architecture, or a 6G network architecture, or a network architecture adopted in future evolutions by 3GPP; the network architecture 200 may be referred to as 5GS (5G System) / EPS (Evolved Packet System), or 6GS (6G System); the network architecture 200 includes at least one of UE (User Equipment) 201, RAN (Radio Access Network) 202, core network 210, HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and Internet service 230. The network architecture 200 can interconnect with other access networks, but these entities / interfaces are not shown for simplicity. As shown, the network architecture 200 provides packet-switched services; however, those skilled in the art will readily understand that the various concepts presented throughout this application can be extended to networks providing circuit-switched services or other cellular networks. The RAN includes node 203. The RAN may also include other nodes 204. Node 203 provides user and control plane protocol termination toward UE 201. Node 203 may be connected to other nodes 204 via an Xn interface (e.g., backhaul) / X2 interface. Node 203 may also be referred to as a base station, base transceiver station, radio base station, radio transceiver, transceiver function, basic service set (BSS), extended service set (ESS), TRP (transmitter-receiver node), or some other suitable term. The core network 210 is a 5GC (5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is a 6GC; node 203 provides UE 201 with an access point to the core network 210.Examples of UE201 include cellular phones, smartphones, Session Initiation Protocol (SIP) phones, laptops, personal digital assistants (PDAs), satellite radios, non-terrestrial base station communications, satellite mobile communications, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, drones, aircraft, narrowband IoT devices, machine-type communication devices, land vehicles, automobiles, wearable devices, or any other similar functional devices. Those skilled in the art may also refer to UE201 as a mobile station, subscriber station, mobile unit, subscriber unit, radio unit, remote unit, mobile device, radio device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handheld device, user agent, mobile client, client, or any other suitable term. Node 203 is connected to the core network 210 via an S1 / NG interface. The core network 210 includes an MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MMEs / AMFs / SMFs 214, an 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 handles 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 Protocol) packets are transmitted through the S-GW / UPF 212, which is itself connected to the P-GW / UPF 213. The P-GW provides UE IP address allocation and other functions. The P-GW / UPF 213 is connected to the Internet service 230. Internet services 230 include operator-compliant Internet protocol services, which may specifically include Internet, intranet, IMS (IP Multimedia Subsystem), and packet switching services.

[0416] As an example, the first node includes the UE201.

[0417] As one embodiment, the second node includes the node 203.

[0418] As an example, the wireless link between the UE201 and the node203 includes a cellular link.

[0419] As an example, the sender of the RS in the at least first RS resource includes the node 203.

[0420] As an example, the recipient of the RS in the at least first RS resource includes the UE201.

[0421] As an example, the sender of the first information block includes the UE201.

[0422] As an example, the recipient of the first information block includes the node 203.

[0423] As an example, the sender of the at least first channel information includes the UE201.

[0424] As one embodiment, the receiver of the at least first channel information includes the node 203.

[0425] As an example, the UE201 supports AI- or ML-based operations.

[0426] As an example, node 203 supports AI- or ML-based operations.

[0427] Example 3

[0428] Example 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture for the user plane and control plane according to an embodiment of this application, as shown in the attached diagram. Figure 3 As shown.

[0429] Example 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture for a user plane and a control plane according to this application, as shown in the attached diagram. Figure 3 As shown. Figure 3 This is a schematic diagram illustrating an embodiment of a radio protocol architecture for the user plane 350 and the control plane 300. Figure 3The radio protocol architecture for the control plane 300 between the first communication node device (UE, gNB, or RSU in V2X) and the second communication node device (gNB, UE, or RSU in V2X), or between two UEs, is illustrated using three layers: Layer 1, Layer 2, and Layer 3. Layer 1 (L1 layer) is the lowest layer and implements various PHY (Physical Layer) signal processing functions. Layer 1 will be referred to as PHY 301 in this document. Layer 2 (L2 layer) 305, above PHY 301, is responsible for the link between the first and second communication node devices, or between two UEs. Layer 2 305 includes the MAC (Medium Access Control) sublayer 302, the RLC (Radio Link Control) sublayer 303, and the PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate at the second communication node device. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. PDCP sublayer 304 also provides security through encrypted data packets and supports cross-cell mobility between second communication node devices and the first communication node device. RLC sublayer 303 provides upper layer data packet segmentation and reassembly, retransmission of lost data packets, and data packet reordering to compensate for out-of-order reception due to HARQ. MAC sublayer 302 provides multiplexing between logical and transport channels. MAC sublayer 302 is also responsible for allocating various radio resources (e.g., resource blocks) within a cell between the first communication node devices. MAC sublayer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sublayer 306 in Layer 3 (L3) of the control plane 300 is responsible for acquiring radio resources (i.e., radio bearers) and configuring the lower layer using RRC signaling between the second and first communication node devices. The radio protocol architecture of user plane 350 includes layer 1 (L1 layer) and layer 2 (L2 layer). The radio protocol architecture for the first and second communication node devices in user plane 350 is largely the same as the corresponding layers and sublayers in control plane 300 for physical layer 351, PDCP sublayer 354 in L2 layer 355, RLC sublayer 353 in L2 layer 355 and MAC sublayer 352 in L2 layer 355. However, PDCP sublayer 354 also provides header compression for upper layer data packets to reduce radio transmission overhead.The L2 layer 355 in the user plane 350 also includes an SDAP (Service Data Adaptation Protocol) sublayer 356, which is responsible for mapping between QoS streams and data radio bearers (DRBs) to support service diversity. Although not illustrated, the first communication node device may have several upper layers above the L2 layer 355, including a network layer (e.g., IP layer) terminating at the P-GW on the network side and an application layer terminating at the other end of the connection (e.g., a remote UE, server, etc.).

[0430] As an example, Appendix Figure 3 The wireless protocol architecture described above is applicable to the first node.

[0431] As an example, Appendix Figure 3 The wireless protocol architecture described above is applicable to the second node.

[0432] As an example, the higher layer mentioned in this application refers to the layer above the physical layer.

[0433] As an example, the first information block is generated in the PHY301 or the PHY351.

[0434] As an example, the first information block is generated in the MAC sublayer 302 or the MAC sublayer 352.

[0435] As an example, the first information block is generated in the RRC sublayer 306.

[0436] As an example, the at least first channel information is generated in the PHY301 or the PHY351.

[0437] Example 4

[0438] Example 4 illustrates a schematic diagram of a first communication device and a second communication device according to an embodiment of this application, as shown in the attached diagram. Figure 4 As shown. (Attached) Figure 4 This is a block diagram of a first communication device 410 and a second communication device 450 communicating with each other in an access network.

[0439] The first communication device 410 includes a controller / processor 475, a memory 476, a receiver processor 470, a transmitter processor 416, a multi-antenna receiver processor 472, a multi-antenna transmitter processor 471, a transmitter / receiver 418, and an antenna 420.

[0440] The second communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmitting processor 468, a receiving processor 456, a multi-antenna transmitting processor 457, a multi-antenna receiving processor 458, a transmitter / receiver 454, and an antenna 452.

[0441] In the transmission from the first communication device 410 to the second communication device 450, at the first communication device 410, upper-layer data packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements L2 layer functionality. In DL (Downlink), the controller / processor 475 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocation to the second communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for HARQ operation, 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 L1 layer (i.e., physical layer). Transmit processor 416 performs encoding 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), and M-quadrature amplitude modulation (M-QAM). 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... The transmit processor 416 then maps each parallel stream to a subcarrier, multiplexes the modulated symbols with a reference signal (e.g., a pilot) in the time and / or frequency domains, and then uses an inverse fast Fourier transform (IFFT) to generate a physical channel carrying the time-domain multicarrier symbol stream. The multi-antenna transmit processor 471 then performs transmit analog precoding / beamforming operations on the time-domain multicarrier symbol stream. Each transmitter 418 converts the baseband multicarrier symbol stream provided by the multi-antenna transmit processor 471 into an RF stream, which is then provided to a different antenna 420.

[0442] In the transmission from the first communication device 410 to the second communication device 450, at the second communication device 450, each receiver 454 receives a signal through its corresponding antenna 452. Each receiver 454 recovers the information modulated onto the radio frequency carrier and converts the radio frequency stream into a baseband multicarrier symbol stream, which is then provided to the receiver processor 456. The receiver processor 456 and the multi-antenna receiver processor 458 implement various signal processing functions of the L1 layer. The multi-antenna receiver processor 458 performs receive analog precoding / beamforming operations on the baseband multicarrier symbol stream from the receiver 454. The receiver processor 456 uses a Fast Fourier Transform (FFT) to convert the baseband multicarrier symbol stream after the receive analog precoding / beamforming operations from the time domain to the frequency domain. In the frequency domain, the physical layer data signal and the reference signal are demultiplexed by the receiver processor 456, where the reference signal is used for channel estimation, and the data signal is recovered in the multi-antenna receiver processor 458 after multi-antenna detection to recover any parallel stream destined for the second communication device 450. Symbols on each parallel stream are demodulated and recovered in the receive processor 456, generating soft decisions. The receive processor 456 then decodes and deinterleaves the soft decisions to recover the upper-layer data and control signals transmitted over the physical channel by the first communication device 410. The upper-layer data and control signals are then provided to the controller / processor 459. The controller / processor 459 implements the functions of Layer 2 (L2). The controller / processor 459 may be associated with a memory 460 storing program code and data. The memory 460 may be referred to as computer-readable media. In the DL (Layered Logic), the controller / processor 459 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transmission and logical channels to recover upper-layer packets from the core network. The upper-layer packets are then provided to all protocol layers above Layer 2. Various control signals may also be provided to Layer 3 (L3) for L3 processing. The controller / processor 459 is also responsible for error detection using ACK and / or NACK protocols to support HARQ operation.

[0443] In the transmission from the second communication device 450 to the first communication device 410, at the second communication device 450, a data source 467 is used to provide upper-layer data packets to the controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmission functions at the first communication device 410 described in the DL, the controller / processor 459 implements header compression, encryption, packet segmentation and reordering, and multiplexing between logical and transport channels based on the radio resource allocation of the first communication device 410, implementing L2 layer functions 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. Transmit processor 468 performs modulation mapping and channel coding processing, while multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based and non-codebook-based precoding, and beamforming processing. Subsequently, transmit processor 468 modulates the generated parallel stream into a multi-carrier / single-carrier symbol stream. After analog precoding / beamforming operations in multi-antenna transmit processor 457, the stream is provided to different antennas 452 via transmitter 454. Each transmitter 454 first converts the baseband symbol stream provided by multi-antenna transmit processor 457 into a radio frequency symbol stream before providing it to antenna 452.

[0444] In the transmission from the second communication device 450 to the first communication device 410, the function at the first communication device 410 is similar to the receiving function at the second communication device 450 described in the transmission from the first communication device 410 to the second communication device 450. Each receiver 418 receives radio frequency signals through its corresponding antenna 420, converts the received radio frequency signals into baseband signals, and provides the baseband signals to the multi-antenna receiving processor 472 and the receiving processor 470. The receiving processor 470 and the multi-antenna receiving processor 472 jointly implement the L1 layer functions. The controller / processor 475 implements the L2 layer functions. The controller / processor 475 may be associated with a memory 476 that stores program code and data. The memory 476 may be referred to as computer-readable media. The controller / processor 475 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transmission and logical channels to recover upper-layer data packets from the second communication device 450. The upper-layer data packets from the controller / processor 475 may be provided to the core network. The controller / processor 475 is also responsible for error detection using ACK and / or NACK protocols to support HARQ operation.

[0445] As one embodiment, the second communication device 450 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor. The second communication device 450 means at least: measuring on the at least first RS resource; transmitting the first information block and the at least first channel information. The at least first channel information depends on the measurement on the at least first RS resource; a first parameter set is used to generate the first channel information, and the first information block indicates the first parameter set.

[0446] As one embodiment, the second communication device 450 includes: a memory storing a computer-readable instruction program that, when executed by at least one processor, produces actions including: measuring on the at least first RS resource; and transmitting the first information block and the at least first channel information.

[0447] As one embodiment, the first communication device 410 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor. The first communication device 410 means at least: receiving the first information block and the at least first channel information. The at least first channel information depends on measurements on at least a first RS resource; a first parameter set is used to generate the first channel information, and the first information block indicates the first parameter set.

[0448] As one embodiment, the first communication device 410 includes: a memory storing a computer-readable instruction program that produces an action when executed by at least one processor, the action including: receiving the first information block and the at least first channel information.

[0449] As an example, the first node in this application includes the second communication device 450.

[0450] As an example, the second node in this application includes the first communication device 410.

[0451] As an example, at least one of {the antenna 452, the receiver 454, the receiver processor 456, the multi-antenna receiver processor 458, the controller / processor 459, the memory 460, and the data source 467} is used for measurement on the at least first RS resource; at least one of {the antenna 420, the transmitter 418, the transmitter processor 416, the multi-antenna transmitter processor 471, the controller / processor 475, and the memory 476} is used for transmission on the at least first RS resource.

[0452] As an example, at least one of {the antenna 420, the receiver 418, the receiving processor 470, the multi-antenna receiving processor 472, the controller / processor 475, and the memory 476} is used to receive the first information block; at least one of {the antenna 452, the transmitter 454, the transmitting processor 468, the multi-antenna transmitting processor 457, the controller / processor 459, the memory 460, and the data source 467} is used to transmit the first information block.

[0453] As an example, at least one of {the antenna 420, the receiver 418, the receiving processor 470, the multi-antenna receiving processor 472, the controller / processor 475, and the memory 476} is used to receive the at least first channel information; and at least one of {the antenna 452, the transmitter 454, the transmitting processor 468, the multi-antenna transmitting processor 457, the controller / processor 459, the memory 460, and the data source 467} is used to transmit the at least first channel information.

[0454] Example 5

[0455] Example 5 illustrates a flowchart of a transmission according to an embodiment of this application; as attached Figure 5 As shown. In the appendix Figure 5 In this context, the second node U1 and the first node U2 are communication nodes that transmit data via an air interface. (Appendix) Figure 5 In the middle, the steps in boxes F51 to F55 are selectable respectively.

[0456] For the second node U1, a first configuration information block is sent in step S5101; it is sent on at least the first RS resource in step S5102; and the first information block and at least the first channel information are received in step S511.

[0457] For the first node U2, in step S5201, a first configuration information block is received; in step S521, measurements are taken on at least the first RS resource; in step S522, the first information block and at least the first channel information are sent; in step S5202, a first operation is deployed; and in step S5203, the first operation is executed.

[0458] In embodiment 5, the at least first channel information depends on measurements on the at least first RS resource; a first parameter set is used to generate the first channel information, and the first information block indicates the first parameter set.

[0459] As an example, the first node U2 is the first node in this application.

[0460] As an example, the second node U1 is the second node in this application.

[0461] As one embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between the base station equipment and the user equipment.

[0462] As one embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between the relay node device and the user equipment.

[0463] As one embodiment, the air interface between the second node U1 and the first node U2 includes the interface between the core network equipment and the user equipment.

[0464] As one embodiment, the air interface between the second node U1 and the first node U2 includes the interface between the OTT server (Over-The-Top server) and the user equipment.

[0465] As one embodiment, the air interface between the second node U1 and the first node U2 includes the interface between the NAS (Network Access Server) device and the user equipment.

[0466] As one embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between user equipment and user equipment.

[0467] As one embodiment, the second node U1 includes the serving cell sustaining base station of the first node U2.

[0468] As one embodiment, the second node U1 includes an OTT server (Over-The-Top server).

[0469] As an example, the second node U1 includes OAM (Operation Administration and Maintenance).

[0470] As one embodiment, the second node U1 includes a NAS device.

[0471] As one embodiment, the second node U1 includes core network equipment.

[0472] As an example, the first information block is transmitted on PUSCH (Physical Uplink Shared Channel).

[0473] As an example, the first information block is transmitted on PUCCH (Physical Uplink Control Channel).

[0474] As an example, the at least first channel information is transmitted on the PUSCH.

[0475] As an example, the at least first channel information is transmitted on the PUCCH.

[0476] As an example, Appendix Figure 5 The steps in block F53 are present, and the method described above for the second node used in wireless communication includes: transmitting on the at least first RS resource.

[0477] As an example, transmitting on the at least first RS resource means transmitting RS on the at least first RS resource.

[0478] As one embodiment, transmitting on the at least first RS resource includes transmitting RS on each of the at least first RS resources.

[0479] As one embodiment, transmitting on the at least first RS resource includes transmitting on a portion of the RS resources within the at least first RS resource.

[0480] As an example, Appendix Figure 5 The step in box F53 is missing, and the sender of at least the first RS resource is different from the second node U1.

[0481] As one embodiment, the second node U1 is a core network device, and the sender of at least the first RS resource is the serving cell of the first node.

[0482] As an example, the sender of the at least first RS resource refers to the sender of the RS in the at least first RS resource.

[0483] As an example, Appendix Figure 5 The steps in block F52 are present, and the method used in the first node for wireless communication includes:

[0484] Receive a first configuration information block, the first configuration information block indicating at least one of the configuration information of the at least first RS resource or the at least first channel information.

[0485] As an example, the first configuration information block is carried by higher-level signaling.

[0486] As an example, the first configuration information block is carried by RRC signaling.

[0487] As an example, the first configuration information block is carried by one or more RRC IE (InformationElement).

[0488] As one embodiment, the first configuration information block includes some or all of the information in one or more RRC IEs.

[0489] As one embodiment, the first configuration information block includes some or all of the information in the CSI-ReportConfig IE.

[0490] As one embodiment, the first configuration information block includes some or all of the information in the CSI-MeasConfig IE.

[0491] As one embodiment, the first configuration information block includes some or all of the information in the ServingCellConfig IE.

[0492] As one example, the first configuration information block includes some or all of the information in CellGroupConfig IE.

[0493] As an example, the first configuration information block is transmitted on the PDSCH.

[0494] As an example, the first configuration information block indicates the at least first RS resource.

[0495] As an example, the first configuration information block indicates that at least the first RS resource is used for channel measurement.

[0496] As an example, the first configuration information block indicates each of the at least first RS resources.

[0497] As an example, the first configuration information block indicates the identifier of each RS resource in the at least first RS resource.

[0498] As a sub-implementation of the above embodiments, the identifier of any RS resource in the at least first RS resource is NZP-CSI-RS-ResourceId or SSB-Index.

[0499] As an example, the at least first RS resource belongs to an RS resource set, and the first configuration information block indicates the RS resource set.

[0500] As a sub-implementation of the above embodiments, the first configuration information block indicates the at least first RS resource by indicating the RS resource set.

[0501] As a sub-implementation of the above embodiments, the first configuration information block indicates the identifier of the RS resource set.

[0502] As a reference embodiment of the above sub-example, the identifier of the RS resource set is NZP-CSI-RS-ResourceSetId, CSI-ResourceConfigId, or CSI-SSB-ResourceSetId.

[0503] As an example, the first configuration information block indicates the configuration information of the at least first channel information.

[0504] As an example, the configuration information of the at least first channel information includes the type of each channel information in the at least first channel information.

[0505] As an example, candidates for the type of any of the at least first channel information include RSRP, RSRQ, SINR, RSSI, CQI, PMI, and RI.

[0506] As one embodiment, the configuration information of the at least first channel information includes the number of channel information included in the at least first channel information.

[0507] As one embodiment, the configuration information of the at least first channel information includes a physical layer channel carrying the at least first channel information.

[0508] As a sub-implementation of the above embodiments, the physical layer channel carrying the at least first channel information is PUSCH or PUCCH.

[0509] As an example, the configuration information of the at least first channel information includes time-domain behavior, which includes periodic, semi-persistent, and aperiodic behavior.

[0510] As an example, the configuration information of the at least first channel information includes at least one of period and time slot offset.

[0511] As one embodiment, the configuration information of the at least first channel information includes frequency domain resources.

[0512] As an example, the first time-frequency resource or the first time-frequency resource pool is located between a first time point and a second time point in the time domain, and the configuration information of the at least first channel information includes at least one of the first time point and the second time point.

[0513] As an example, the first time-frequency resource or the first time-frequency resource pool is located between a first frequency point and a second frequency point in the frequency domain, and the configuration information of the at least first channel information includes at least one of the first frequency point and the second frequency point.

[0514] As an example, the first configuration information block indicates the configuration information of the at least first RS resource and the at least first channel information.

[0515] As an example, Appendix Figure 5 The steps in block F51 are present, and the method in the second node used for wireless communication includes: sending the first configuration information block.

[0516] As an example, Appendix Figure 5 Both steps in boxes F51 and F52 are present, and the sender of the first configuration information block is the second node U1.

[0517] As an example, Appendix Figure 5 The step in box F51 is missing, the step in F52 is present, and the sender of the first configuration information block is different from the second node U1.

[0518] As one embodiment, the first channel information is for a first time-frequency resource, and the first parameter set depends on the first time-frequency resource.

[0519] As one embodiment, the first channel information is for a first time-frequency resource, and the first information block indicates the first time-frequency resource.

[0520] As an example, the at least first channel information includes K1 channel information, where K1 is a positive integer greater than 1, and the first channel information is one of the K1 channel information; the first parameter set is used to generate the K1 channel information, the K1 channel information are respectively for K1 time-frequency resources, the K1 time-frequency resources all belong to the first time-frequency resource pool, and the first information block indicates the first time-frequency resource pool.

[0521] In a preferred embodiment, any one of the K1 channel information depends on the measurement on the at least first RS resource.

[0522] As one embodiment, the at least first channel information includes second channel information, the first channel information is for a first time-frequency resource, the second channel information is for a second time-frequency resource, a second parameter set is used to generate the second channel information, the first parameter set is different from the second parameter set, and the first information block indicates the second parameter set.

[0523] As one embodiment, the at least first channel information includes K1 channel information and K2 channel information, where K1 and K2 are positive integers greater than 1, the first channel information is one of the K1 channel information, and the second channel information is one of the K2 channel information; the first parameter set is used to generate the K1 channel information, and the second parameter set is used to generate the K2 channel information.

[0524] In a preferred embodiment, any one of the K1 channel information depends on the measurement on the at least first RS resource, and any one of the K2 channel information depends on the measurement on the at least first RS resource.

[0525] As an example, the K1 channel information points are respectively for K1 time-frequency resources, the K2 channel information points are respectively for K2 time-frequency resources, the K1 time-frequency resources all belong to the first time-frequency resource pool, and the K2 time-frequency resources all belong to the second time-frequency resource pool. The length of the first time-frequency resource pool is different from the length of the second time-frequency resource pool.

[0526] As an example, the at least first channel information belongs to the first dataset.

[0527] As one embodiment, the at least first channel information is transmitted on a first radio bearer, which is a new radio bearer other than the radio bearers supported by 3GPP R19.

[0528] As one embodiment, the at least first channel information is associated with a first identifier, the first operation is associated with the first identifier, and the first operation includes inference.

[0529] As an example, Appendix Figure 5 The steps in box F54 are present, and the method described above used in the first node for wireless communication includes:

[0530] Deploy the first operation.

[0531] As an example, the deployment of the first operation precedes the transmission of the at least first channel information.

[0532] As an example, the deployment of the first operation is later than the transmission of the at least first channel information.

[0533] As an example, Appendix Figure 5 The steps in block F55 are present, and the method described above for the first node used in wireless communication includes: performing the first operation.

[0534] Example 6

[0535] Example 6 illustrates a schematic diagram of first channel information according to an embodiment of this application; as shown in the appendix. Figure 6 As shown. In Embodiment 6, the first channel information indicates L vectors and L2 coefficient groups, where L2 is equal to L multiplied by 2; the L vectors and L2 coefficient groups are used to determine a first precoding matrix; the first precoding matrix is ​​equal to a concatenation of a first submatrix and a second submatrix, where the first submatrix is ​​equal to the sum of the L vectors weighted by L first weighting coefficients, and the second submatrix is ​​equal to the sum of the L vectors weighted by L second weighting coefficients, where the L first weighting coefficients depend on the first L coefficient groups in the L2 coefficient groups, and the L second weighting coefficients depend on the last L coefficient groups in the L2 coefficient groups; any coefficient group in the L2 coefficient groups includes at least one of an amplitude coefficient, a phase coefficient, and a subband amplitude coefficient.

[0536] In the appendix Figure 6In this diagram, the L vectors are represented as vectors #i (i = 0 to L-1); the first L coefficient groups of the L2 coefficient groups are represented as coefficient group #i (i = 0 to L-1), and the last L coefficient groups of the L2 coefficient groups are represented as coefficient group #(L+i) (i = 0 to L-1); the L first weighted coefficients and the L second weighted coefficients are represented as first weighted coefficient #i and second weighted coefficient #i (i = 0 to L-1); the amplitude coefficient, phase coefficient, and sub-band amplitude coefficient included in coefficient group #i (i = 0 to L-1) are represented as first amplitude coefficient #i, first phase coefficient #i, and first sub-band amplitude coefficient #i, respectively; the amplitude coefficient, phase coefficient, and sub-band amplitude coefficient included in coefficient group #(L+i) (i = 0 to L-1) are represented as second amplitude coefficient #i, second phase coefficient #i, and second sub-band amplitude coefficient #i, respectively.

[0537] As an example, any one of the L2 coefficient groups includes at least two of the following: an amplitude coefficient, a phase coefficient, and a sub-band amplitude coefficient.

[0538] As an example, any one of the L2 coefficient groups includes an amplitude coefficient, a phase coefficient, and a sub-band amplitude coefficient.

[0539] As an example, the first channel information indicates the coefficient group in which the strongest coefficient is located among the L2 coefficient groups, and the coefficient group in which the strongest coefficient is located includes an amplitude coefficient, a phase coefficient, and a sub-band amplitude coefficient that are all equal to 1.

[0540] As an example, the L first weighting coefficients correspond one-to-one with the first L coefficient groups, and the first weighting coefficient #i (i = 0, ..., L-1) corresponds to the coefficient group #i; the coefficient group #i includes a non-zero amplitude coefficient and a phase coefficient, and the first weighting coefficient #i is equal to the product of the non-zero amplitude coefficient and the phase coefficient; or the coefficient group #i includes a non-zero amplitude coefficient, a phase coefficient and a sub-band amplitude coefficient, and the first weighting coefficient #i is equal to the product of the non-zero amplitude coefficient, the phase coefficient and the sub-band amplitude coefficient; or the coefficient group #i includes a zero amplitude coefficient and the first weighting coefficient #i is equal to 0.

[0541] As one embodiment, the L second weighting coefficients correspond one-to-one with the following L coefficient groups. The second weighting coefficient #i (i = 0, ..., L-1) corresponds to the coefficient group #(L+i). The coefficient group #(L+i) includes a non-zero amplitude coefficient and a phase coefficient, and the second weighting coefficient #i is equal to the product of the non-zero amplitude coefficient and the phase coefficient; or the coefficient group #(L+i) includes a non-zero amplitude coefficient, a phase coefficient, and a sub-band amplitude coefficient, and the second weighting coefficient #i is equal to the product of the non-zero amplitude coefficient, the phase coefficient, and the sub-band amplitude coefficient; or the coefficient group #(L+i) includes a zero amplitude coefficient, and the second weighting coefficient #i is equal to 0.

[0542] As an example, any one of the L2 coefficient groups includes an amplitude coefficient, a phase coefficient, and a sub-band amplitude coefficient; the L first weighted coefficients correspond one-to-one with the first L coefficient groups, and any one of the L first weighted coefficients is equal to the product of the amplitude coefficient, phase coefficient, and sub-band amplitude coefficient of the corresponding coefficient group; the L second weighted coefficients correspond one-to-one with the last L coefficient groups, and any one of the L second weighted coefficients is equal to the product of the amplitude coefficient, phase coefficient, and sub-band amplitude coefficient of the corresponding coefficient group.

[0543] As an example, the first set of parameters indicates the L.

[0544] As an example, the number of coefficients included in each of the L2 coefficient groups depends on the first parameter set.

[0545] As an example, the number of coefficient groups including sub-band amplitude coefficients in the L2 coefficient groups depends on the first parameter set.

[0546] As an example, the number of coefficient groups in the L2 coefficient groups that have a fixed sub-band amplitude coefficient of 1 depends on the first parameter set.

[0547] As an example, the first parameter set indicates the upper limit of the number of coefficient groups in the L2 coefficient groups that include non-fixed sub-band amplitude coefficients.

[0548] As an example, the first parameter set indicates the range of values ​​for the amplitude coefficient.

[0549] As an example, the first parameter set indicates the range of values ​​for the phase coefficient.

[0550] As an example, the first parameter set indicates the range of values ​​for the sub-band amplitude coefficient.

[0551] Example 7

[0552] Example 7 illustrates a schematic diagram of first channel information according to an embodiment of this application; as shown in the appendix. Figure 7 As shown. In Embodiment 7, the first channel information indicates L vectors, M vectors, and L2 coefficient groups, where L2 is equal to L multiplied by 2; the L vectors, M vectors, and L2 coefficient groups are used to determine W precoding matrices, where the length of any one of the M vectors is equal to W; in the appendix Figure 7 In this diagram, the W precoding matrices are represented as precoding matrix #t (t = 0, ..., W-1); precoding matrix #t (t = 0, ..., W-1) is equal to the concatenation of the first submatrix and the second submatrix, the first submatrix is ​​equal to the sum of the L vectors weighted by L first weighting coefficients, the second submatrix is ​​equal to the sum of the L vectors weighted by L second weighting coefficients, the L first weighting coefficients depend on the first L coefficient groups in the L2 coefficient groups and the M vectors, the L second weighting coefficients depend on the last L coefficient groups in the L2 coefficient groups and the M vectors; any coefficient group in the L2 coefficient groups includes M coefficient subgroups, and any coefficient subgroup in any coefficient group in the L2 coefficient groups includes an amplitude coefficient and a phase coefficient.

[0553] In the appendix Figure 7 In this context, the L vectors are represented as vectors #i (i = 0 to L-1); the first L coefficient groups of the L2 coefficient groups are represented as coefficient group #i (i = 0 to L-1), and the last L coefficient groups of the L2 coefficient groups are represented as coefficient group #(L+i) (i = 0 to L-1); the L first weighted coefficients and the L second weighted coefficients are represented as first weighted coefficient #i and second weighted coefficient #i (i = 0 to L-1); the M coefficient subgroups in coefficient group #i (i = 0 to L-1) are represented as coefficient subgroup #(i,0), ..., coefficient subgroup #(i,M-1); and coefficient subgroup #(i,f) (i = 0 to L-1, f = 0) The amplitude coefficients and phase coefficients included in the coefficient group #(L+i)(i=0~L-1) are represented as the first amplitude coefficient #(i,f) and the first phase coefficient #(i,f), respectively; the M coefficient subgroups in the coefficient group #(L+i)(i=0~L-1,f=0,…,M-1) are represented as the coefficient subgroup #(L+i,0), …, the coefficient subgroup #(L+i,M-1); the amplitude coefficients and phase coefficients included in the coefficient subgroup #(L+i,f)(i=0~L-1,f=0,…,M-1) are represented as the second amplitude coefficient #(i,f) and the second phase coefficient #(i,f), respectively; the elements in the M vectors are represented as the element #(t,f)(t=0,…,W-1,f=0,…,M-1).

[0554] In Example 7, elements #(0,f), ..., element #(W-1,f) form one of the M vectors, f = 0, ..., M-1.

[0555] As an example, the L first weighting coefficients correspond one-to-one with the first L coefficient groups, and the first weighting coefficient #i (i = 0, ..., L-1) corresponds to the coefficient group #i; the first weighting coefficient #i is equal to the sum of the first values ​​#0, ..., the first values ​​#(M-1) multiplied by the third amplitude coefficient, where the first value #f (f = 0, ..., M-1) is equal to the product of the first amplitude coefficient #(i,f) and the first phase coefficient #(i,f) multiplied by the element #(t,f).

[0556] As an example, the L second weighting coefficients correspond one-to-one with the following L coefficient groups, and the second weighting coefficient #i (i = 0, ..., L-1) corresponds to the coefficient group #(L+i); the second weighting coefficient #i is equal to the sum of the second values ​​#0, ..., the second values ​​#(M-1) multiplied by the fourth amplitude coefficient, where the second value #f (f = 0, ..., M-1) is equal to the product of the second amplitude coefficient #(i,f) and the second phase coefficient #(i,f) multiplied by the element #(t,f).

[0557] As an example, the first channel information indicates the third amplitude coefficient and the fourth amplitude coefficient.

[0558] As an example, the third amplitude coefficient and the fourth amplitude coefficient are both positive real numbers not greater than 1.

[0559] As an example, the first channel information indicates the coefficient subgroup containing the strongest coefficient among the L2 coefficient groups, wherein the amplitude coefficient and phase coefficient of the coefficient subgroup containing the strongest coefficient are both equal to 1.

[0560] As an example, the first channel information indicates that the L2 coefficient groups include coefficient subgroups with non-zero coefficients.

[0561] As an example, the amplitude coefficients in all coefficient subgroups of the L2 coefficient groups except for those containing non-zero coefficients are all 0.

[0562] As an example, the first set of parameters indicates the M.

[0563] As one example, M depends on the first set of parameters.

[0564] As an example, the number of coefficients included in each of the L2 coefficient groups depends on the first parameter set.

[0565] As an example, the first parameter set indicates the upper limit of the number of coefficients included in each of the L2 coefficient groups.

[0566] As an example, the total number of non-zero coefficients included in the L2 coefficient groups depends on the first parameter set.

[0567] As an example, the first parameter set indicates the upper limit of the total number of non-zero coefficients included in the L2 coefficient groups.

[0568] As an example, the non-zero coefficient refers to a non-zero amplitude coefficient.

[0569] As an example, the range of values ​​for the amplitude coefficient depends on the first set of parameters.

[0570] As an example, the first parameter set indicates the range of values ​​for the amplitude coefficient.

[0571] As one example, the range of values ​​for the phase coefficient depends on the first set of parameters.

[0572] As an example, the first parameter set indicates the range of values ​​for the phase coefficient.

[0573] Example 8

[0574] Example 8 illustrates a schematic diagram of first channel information according to an embodiment of this application; as shown in the appendix. Figure 8 As shown. In Embodiment 8, the first channel information indicates L vectors, M vectors, Q vectors, and L2 coefficient groups, where L2 is equal to L multiplied by 2; the L vectors, M vectors, Q vectors, and L2 coefficient groups are used to determine N precoding matrix groups, each of the N precoding matrix groups targeting N time slot intervals; each of the N precoding matrix groups includes W precoding matrices; the length of any one of the M vectors is equal to W; the length of any one of the Q vectors is equal to N. (See Appendix...) Figure 8In the N precoding matrix groups, the precoding matrix is ​​represented as precoding matrix #(ι,t) (ι=0,…,N-1,t=0,…,W-1); the precoding matrix #(ι,t) (ι=0,…,N-1,t=0,…,W-1) is equal to the concatenation of the first submatrix and the second submatrix. The first submatrix is ​​equal to the sum of the L vectors after being weighted by L first weighting coefficients, and the second submatrix is ​​equal to the sum of the L vectors after being weighted by L second weighting coefficients. The L first weighting coefficients depend on the first L coefficient groups, the M vectors and the Q vectors in the L2 coefficient groups. The L second weighting coefficients depend on the last L coefficient groups, the M vectors and the Q vectors in the L2 coefficient groups. Any coefficient group in the L2 coefficient groups includes M coefficient subgroups, and any coefficient subgroup in any coefficient group in the L2 coefficient groups includes Q amplitude coefficients and Q phase coefficients.

[0575] In the appendix Figure 8 In this context, the L vectors are represented as vectors #i (i = 0 to L-1); the first L coefficient groups of the L2 coefficient groups are represented as coefficient group #i (i = 0 to L-1), and the last L coefficient groups of the L2 coefficient groups are represented as coefficient group #(L+i) (i = 0 to L-1); the L first weighted coefficients and the L second weighted coefficients are represented as first weighted coefficient #i and second weighted coefficient #i (i = 0 to L-1); the M coefficient subgroups in coefficient group #i (i = 0 to L-1) are represented as coefficient subgroup #(i,0), ..., coefficient subgroup #(i,M-1), and the Q amplitude coefficients / Q phase coefficients included in coefficient subgroup #(i,f) (i = 0 to L-1, f = 0, ..., M-1) are represented as first amplitude coefficient #(i,f,0) / first phase coefficient #(i,f,0), ..., first amplitude coefficient # (i,f,Q-1) / first phase coefficient #(i,f,Q-1); the M coefficient subgroups in coefficient group #(L+i)(i=0~L-1) are respectively represented as coefficient subgroup #(L+i,0), ..., coefficient subgroup #(L+i,M-1), and the Q amplitude coefficients / Q phase coefficients included in coefficient subgroup #(L+i,f)(i=0~L-1,f=0,…,M-1) are represented as second amplitude coefficient #(i ,f,0) / second phase coefficient#(i,f,0), …, second amplitude coefficient#(i,f,Q-1) / second phase coefficient#(i,f,Q-1); the elements in the M vectors are represented as the first element#(t,f)(t=0,…,W-1,f=0,…,M-1), and the elements in the Q vectors are represented as the second element#(ι,τ)(ι=0,…,N-1,τ=0,…,Q-1).

[0576] In Example 8, the first element #(0,f),..., first element #(W-1,f) forms one of the M vectors, where f = 0,...,M-1; the second element #(0,τ),..., second element #(N-1,τ) forms one of the Q vectors, where τ = 0,...,Q-1.

[0577] As an example, the L first weighting coefficients correspond one-to-one with the first L coefficient groups, and the first weighting coefficient #i (i = 0, ..., L-1) corresponds to the coefficient group #i; the first weighting coefficient #i is equal to the sum of the first values ​​#0, ..., the first values ​​#(M-1) multiplied by the third amplitude coefficient, where the first value #f (f = 0, ..., M-1) is equal to the product of the sum of the third values ​​#0, ..., the third values ​​#(Q-1) and the first element #(t,f), and the third value #τ (τ = 0, ..., Q-1) is equal to the product of the first amplitude coefficient #(i,f,τ) and the first phase coefficient #(i,f,τ) multiplied by the second element #(ι,τ).

[0578] As an example, the L second weighting coefficients correspond one-to-one with the following L coefficient groups, and the second weighting coefficient #i (i = 0, ..., L-1) corresponds to the coefficient group #(L+i); the second weighting coefficient #i is equal to the sum of the second values ​​#0, ..., the second values ​​#(M-1) multiplied by the fourth amplitude coefficient, where the second value #f (f = 0, ..., M-1) is equal to the product of the sum of the fourth values ​​#0, ..., the fourth values ​​#(Q-1) and the first element #(t,f), and the fourth value #τ (τ = 0, ..., Q-1) is equal to the product of the second amplitude coefficient #(i,f,τ) and the second phase coefficient #(i,f,τ) multiplied by the second element #(ι,τ).

[0579] As an example, the first channel information indicates the third amplitude coefficient and the fourth amplitude coefficient.

[0580] As an example, the third amplitude coefficient and the fourth amplitude coefficient are both positive real numbers not greater than 1.

[0581] As an example, the first set of parameters indicates Q.

[0582] As one example, Q depends on the first set of parameters.

[0583] As one example, the N time slot intervals depend on the first set of parameters.

[0584] As one example, N depends on the first set of parameters.

[0585] As an example, the first set of parameters indicates the N.

[0586] As an example, any two time slots among the N time slot intervals have the same length.

[0587] As an example, the length of any one of the N time slot intervals depends on the first set of parameters.

[0588] As an example, the first parameter set indicates a first length, and the length of any one of the N time slot intervals is equal to the first length.

[0589] As an example, the first channel information indicates the coefficient subgroup to which the strongest coefficient in the L2 coefficient groups belongs and the position of the strongest coefficient in the coefficient subgroup to which it belongs, wherein the amplitude coefficient and phase coefficient at the position in the coefficient subgroup to which the strongest coefficient belongs are both equal to 1.

[0590] As an example, the first channel information indicates the coefficient subgroups including non-zero coefficients in the L2 coefficient groups and the position of the non-zero coefficients in their respective coefficient subgroups.

[0591] As an example, the first channel information indicates which coefficient subgroups among the L2 coefficient groups include non-zero coefficients, and the positions of the non-zero coefficients within these coefficient subgroups.

[0592] As an example, the amplitude coefficients in all coefficient subgroups of the L2 coefficient groups except for those containing non-zero coefficients are all 0.

[0593] As an example, in the L2 coefficient groups, the amplitude coefficients at positions other than the non-zero coefficients in the coefficient subgroups are all 0.

[0594] As an example, the non-zero coefficient refers to a non-zero amplitude coefficient.

[0595] As an example, the position refers to the nth amplitude coefficient or the nth phase coefficient among the Q amplitude coefficients or Q phase coefficients included in a coefficient subgroup.

[0596] As an example, the first parameter set indicates the range of values ​​for the amplitude coefficient.

[0597] As an example, the first parameter set indicates the range of values ​​for the phase coefficient.

[0598] Example 9

[0599] Example 9 illustrates a schematic diagram of first channel information for a first time-frequency resource according to an embodiment of this application; as shown in the appendix. Figure 9 As shown.

[0600] As one embodiment, the first channel information relating to the first time-frequency resource includes: the first channel information relates to the first time-frequency resource.

[0601] As one embodiment, the first channel information for the first time-frequency resource includes: the first channel information is reported for the first time-frequency resource.

[0602] As one embodiment, the first channel information for the first time-frequency resource includes: the CSI reference resource of the first channel information is the first time-frequency resource.

[0603] As an example, the definition of the CSI reference resource is based on 3GPP TS38.214.

[0604] As one embodiment, the first channel information for a first time-frequency resource includes: channel measurements used to calculate the first channel information are obtained from RS located within the first time-frequency resource.

[0605] As one embodiment, the first channel information for the first time-frequency resource includes: the first channel information reflects the channel state within the first time-frequency resource.

[0606] As one embodiment, the first channel information for the first time-frequency resource includes: the first channel information is valid within the first time-frequency resource.

[0607] As one embodiment, the first channel information is used to determine a plurality of precoding matrices, the plurality of precoding matrices being for a plurality of time-frequency resources, the first time-frequency resources including the plurality of time-frequency resources.

[0608] As an example, the first time-frequency resource includes a continuous time period in the time domain.

[0609] As an example, the first time-frequency resource includes a continuous time period in the time domain, represented as s, ms, or μs.

[0610] As an example, the first time-frequency resource includes a positive integer number of symbols in the time domain.

[0611] As an example, the symbol is OFDM (Orthogonal Frequency Division Multiplexing) symbol.

[0612] As an example, the symbols are obtained by passing the output of the transform precoding through OFDM symbol generation.

[0613] As an example, the symbol includes a prefix.

[0614] As an example, the first time-frequency resource includes a positive integer number of time slots in the time domain.

[0615] As one embodiment, the first time-frequency resource includes a positive integer number of frames or sub-frames in the time domain.

[0616] As an example, the first time-frequency resource includes a continuous frequency domain resource in the frequency domain.

[0617] As one embodiment, the first time-frequency resource includes a continuous frequency domain resource represented as Hz, kHz, or MHz in the frequency domain.

[0618] As one embodiment, the first time-frequency resource includes a positive integer number of subcarriers in the frequency domain.

[0619] As an example, the first time-frequency resource includes a positive integer number of RBs (Resource Blocks) in the frequency domain.

[0620] As one embodiment, the first time-frequency resource includes a positive integer number of sub-bands in the frequency domain.

[0621] As an example, a subband includes multiple consecutive RBs.

[0622] As one embodiment, the subband includes a CQI subband.

[0623] As an example, the sub-band refers to the CQI sub-band.

[0624] As an example, the number of RBs included in the subbands other than those located at the BWP edge increases with the increase of BWP bandwidth.

[0625] As an example, apart from the sub-bands located at the edge of the BWP (Bandwidth part), the number of RBs included in any sub-band is P0, where P0 is a positive integer greater than 1.

[0626] As an example, the P0 is indicated by higher-level signaling.

[0627] As a sub-example of the above embodiment, P0 is indicated by a higher-level parameter whose name includes subbandSize.

[0628] As a sub-example of the above embodiment, P0 is indicated by the higher-level parameter subbandSize.

[0629] As an example, P0 relates to the number of RBs included in the BWP.

[0630] As an example, the number of RBs included in the starting subband of a BWP is P0 – (Ns mod P0); the number of RBs included in the last subband of a BWP is (Ns + Nw) mod P0 or P0, where Ns is the index of the starting RB in the BWP and Nw is the number of RBs included in the BWP.

[0631] As an example, the subcarrier spacing corresponding to one RB or one subband is fixed.

[0632] As an example, the subcarrier spacing corresponding to an RB or a subband varies with the frequency range to which it belongs.

[0633] As one embodiment, the RB includes a PRB (Physical Resource Block).

[0634] As an example, the first time-frequency resource includes the W1 sub-bands in the frequency domain.

[0635] As an example, the first time-frequency resource includes the W PMI subbands in the frequency domain.

[0636] As an example, the first time-frequency resource includes the N time slot intervals in the time domain.

[0637] As an example, the first node obtains channel measurements for calculating the first channel information based only on RSs located within the first time-frequency resource of the at least first RS resource.

[0638] As an example, the first node obtains channel measurements for calculating the first channel information based only on RSs that are no later than the first time-frequency resource in the time domain and located within the first time-frequency resource in the frequency domain.

[0639] Example 10

[0640] Example 10 illustrates a schematic diagram of a first channel information dependent on a measurement on at least a first RS resource according to an embodiment of this application; as attached. Figure 10 As shown. In the appendix Figure 10 In the text, boxes filled with dots, diagonal lines, cross lines, and horizontal lines represent RSs transmitted in the at least first RS resource, and solid boxes represent the first time-frequency resource.

[0641] As an example, the first node is based only on RSs (within the first time-frequency resource) of the at least first RS resource. Figure 10 The box filled with diagonal lines (a box) is used to obtain the channel measurement for calculating the first channel information.

[0642] The advantages of the above method include more accurate channel information.

[0643] As an example, the first node obtains channel measurements for calculating the first channel information based solely on the transmission occasion of the at least first RS resource within the first time-frequency resource in the time domain.

[0644] As an example, the first node obtains channel measurements for calculating the first channel information based only on the RS that belongs to the first time-frequency resource in the frequency domain during the transmission timing of the at least first RS resource that is located within the first time-frequency resource in the time domain.

[0645] As one embodiment, the first RS resource includes a portion located within the first time-frequency resource and a portion located outside the first time-frequency resource in the frequency domain. The first node obtains channel measurements for calculating the first channel information based on only the RS resources located within the first time-frequency resource in the frequency domain of the first RS resource.

[0646] As a sub-example of the above embodiment, the first node obtains channel measurements for calculating the first channel information based on the RS resource located in the frequency domain of the RS resource only during transmissions in the time domain within the first time-frequency resource.

[0647] As a sub-implementation of the above embodiments, Appendix Figure 10 The diagonally filled boxes, intersectingly filled boxes, horizontally filled boxes, and dotted filled boxes are all RSs transmitted in the first RS resource. Figure 10 The boxes filled only with diagonal lines are used to obtain channel measurements for calculating the first channel information.

[0648] As one embodiment, the at least first RS resource includes a plurality of RS resources, only a portion of which are located within the first time-frequency resource in the frequency domain, and the first node uses the acquisition of the portion of RS resources to calculate the channel measurement of the first channel information.

[0649] As a sub-example of the above embodiment, the first node obtains channel measurements for calculating the first channel information based only on the transmission timing of the portion of RS resources within the first time-frequency resources in the time domain.

[0650] As a sub-implementation of the above embodiments, Appendix Figure 10 The diagonally filled boxes, cross-line filled boxes, and horizontally filled boxes are RS transmitted in the aforementioned RS resources; Appendix Figure 10 The small dot-filled boxes represent RS transmitted in RS resources other than the aforementioned RS resources.

[0651] As an example, the first node obtains channel measurements for calculating the first channel information based only on the RS that is at least the first RS resource in the time domain no later than the start time of the first time-frequency resource and in the frequency domain within the first time-frequency resource.

[0652] As a sub-implementation of the above embodiments, Appendix Figure 10 The diagonally filled boxes, horizontally filled boxes, and dotted boxes in the diagram are not used to obtain channel measurements for calculating the first channel information.

[0653] The advantages of the above method include greater flexibility on the UE side, support for time-domain filtering, and shorter feedback latency.

[0654] As one embodiment, the first RS resource includes a portion in the frequency domain located within the first time-frequency resource and a portion in the frequency domain located outside the first time-frequency resource. The first node obtains channel measurements for calculating the first channel information based on RS resources that are located only in the frequency domain within the first time-frequency resource and in the time domain no later than the start time of the first time-frequency resource.

[0655] As one embodiment, the at least first RS resource includes a plurality of RS resources, only a portion of which are located within the first time-frequency resource in the frequency domain. The first node obtains channel measurements for calculating the first channel information based solely on the transmission timing of the portion of RS resources in the time domain no later than the start time of the first time-frequency resource.

[0656] As an example, the first node obtains channel measurements for calculating the first channel information based only on RSs of the at least first RS resources that are in the time domain no later than the end time of the first time-frequency resource and are located within the first time-frequency resource in the frequency domain.

[0657] As a sub-implementation of the above embodiments, Appendix Figure 10 The horizontally filled boxes and the dotted boxes are not used to obtain channel measurements for calculating the first channel information.

[0658] The advantages of the above methods include greater flexibility on the UE side, support for time-domain filtering, and higher accuracy.

[0659] As one embodiment, the first RS resource includes a portion in the frequency domain located within the first time-frequency resource and a portion in the frequency domain located outside the first time-frequency resource. The first node obtains channel measurements for calculating the first channel information based on RS resources that are located only in the frequency domain within the first time-frequency resource and in the time domain no later than the end time of the first time-frequency resource.

[0660] As one embodiment, the at least first RS resource includes a plurality of RS resources, only a portion of which are located within the first time-frequency resource in the frequency domain. The first node obtains channel measurements for calculating the first channel information based solely on the transmission timing of the portion of RS resources in the time domain no later than the end time of the first time-frequency resource.

[0661] Example 11

[0662] Example 11 illustrates a schematic diagram of a first parameter set depending on a first time-frequency resource according to an embodiment of this application; as shown in the appendix. Figure 11 As shown.

[0663] As an example, the first parameter set changes with the first time-frequency resource.

[0664] As an example, the first parameter set is only applicable to the first time-frequency resource.

[0665] As an example, the first parameter set is used only to generate channel information for the first time-frequency resource.

[0666] As an example, the first node determines the first parameter set.

[0667] As an example, the first node determines the first parameter set on its own.

[0668] Generally, how the first node determines the first parameter set is determined by the hardware device manufacturer. Below are some non-limiting implementation methods:

[0669] As an example, the channel characteristics of the first time-frequency resource are used to determine the first parameter set.

[0670] As an example, the first node determines the first parameter set based on the channel characteristics within the first time-frequency resource.

[0671] As an example, the channel characteristics include one or more of delay spread, Doppler spread, Doppler shift, average delay, or spatial reception parameters.

[0672] As one embodiment, the channel characteristics include a spatial domain transmission filter and a spatial domain receive filter.

[0673] As one example, the channel characteristics include the number of multipath paths.

[0674] As one example, the channel characteristics include the number of multipaths that contribute more than a threshold.

[0675] As one example, the channel characteristics include channel impulse response.

[0676] As one example, the channel characteristics include small-scale characteristics.

[0677] As one example, the channel characteristics include a channel matrix.

[0678] As one example, the channel characteristics include the number of eigenvectors of the channel matrix.

[0679] As an example, the channel characteristics include the number of eigenvectors whose corresponding eigenvalues ​​of the channel matrix are greater than a threshold.

[0680] As one example, the channel characteristics include the projection of the channel matrix onto the basis matrix.

[0681] As an example, a basis matrix is ​​a full-rank matrix.

[0682] As an example, the product of a basis matrix and the conjugate transpose of the basis matrix is ​​the identity matrix.

[0683] As an example, the first node determines all parameters in the first parameter set shown.

[0684] As an example, the first node determines some parameters in the first parameter set on its own, and uses parameters from a reference parameter set as another part of the parameters in the first parameter set.

[0685] As an example, the first node determines the first parameter set based on the measurement of RS in the first time-frequency resource.

[0686] As an example, the first node determines the first set of parameters based on the measurement of RS.

[0687] As an example, the first node determines the first set of parameters based on measurements of RS within the first time-frequency resource.

[0688] As an example, the first node determines the first set of parameters based on instructions from the network side and measurements of RS.

[0689] As an example, the first node determines the first set of parameters based on instructions from the network side and measurements of RS within the first time-frequency resource.

[0690] As an example, the first time-frequency resource belongs to a first time-frequency resource pool, and the first node determines the first parameter set based on the measurement of RS in the first time-frequency resource pool.

[0691] As an example, the first time-frequency resource belongs to a first time-frequency resource pool, and the first node determines the first parameter set based on the indication from the network side and the measurement of RS in the first time-frequency resource pool.

[0692] As an example, the first node determines the first parameter set based on the rate at which the first time-frequency resource or the channel in the first time-frequency resource pool changes in the time domain, frequency domain, and / or spatial domain.

[0693] As an example, the first channel information is used to determine a precoding matrix for a time-frequency resource. The faster the channel in the first time-frequency resource or the first time-frequency resource pool changes in the time or frequency domain, the smaller the time-domain length or frequency-domain length of the time-frequency resource is indicated by the first parameter set.

[0694] As an example, the faster the channel in the first time-frequency resource or the first time-frequency resource pool changes in the frequency domain, the larger the W indicated by the first parameter set.

[0695] As an example, the faster the channel in the first time-frequency resource or the first time-frequency resource pool changes in the frequency domain, the smaller the number of RBs included in each of the W PMI subbands indicated by the first parameter set.

[0696] As an example, the faster the channel in the first time-frequency resource or the first time-frequency resource pool changes in the time domain, the smaller the N indicated by the first parameter set.

[0697] As an example, the faster the channel in the first time-frequency resource or the first time-frequency resource pool changes in the time domain, the smaller the length of each time slot interval in the N time slot intervals is indicated by the first parameter set.

[0698] As an example, the first node determines the first parameter set based on the number of spatial reflection paths of the first time-frequency resource or the channel in the first time-frequency resource pool.

[0699] As an example, the larger the number of spatial reflection paths of the channels in the first time-frequency resource or the first time-frequency resource pool, the larger the L indicated by the first parameter set.

[0700] As an example, the first node obtains the channel characteristics within the first time-frequency resource or the first time-frequency resource pool by measurement, and determines the first parameter set based on the channel characteristics.

[0701] As an example, the first channel information is used to determine a precoding matrix for a time-frequency resource, and the first node determines the first set of parameters such that the channel variation in the time-frequency resource is less than a threshold.

[0702] As an example, the first channel information is used to determine a precoding matrix for a time-frequency resource, and the first node determines the first set of parameters such that the difference between the precoding matrix and the optimal precoding matrix for the time-frequency resource is less than a threshold.

[0703] As an example, the first node inputs the measurement results obtained in the first time-frequency resource or the first time-frequency resource pool into an inference-based operation, the output of which includes the first parameter set.

[0704] As an example, the first node determines the first set of parameters based on its movement speed.

[0705] As an example, the first node determines the first set of parameters based on the received beam or TCI indication.

[0706] As an example, the first node determines the first set of parameters based on the update speed of the beam or TCI.

[0707] As an example, the first node randomly selects the first parameter set from a plurality of candidate parameter sets.

[0708] As an example, the first node sequentially selects multiple candidate parameter sets as the first parameter set.

[0709] As one embodiment, the first node receives a plurality of information blocks, each of the plurality of information blocks indicating an increase or decrease in some or all of the parameters in the parameter set, and the first node accumulates the indications of the plurality of information blocks to determine the first parameter set.

[0710] As a sub-implementation of the above embodiment, the first node determines the first parameter set by accumulating the indications of the plurality of information blocks based on an initial parameter set.

[0711] Example 12

[0712] Example 12 illustrates a schematic diagram of a first information block indicating a first time-frequency resource according to an embodiment of this application; as shown in the attached diagram. Figure 12 As shown.

[0713] As an example, the first information block explicitly indicates the first time-frequency resource.

[0714] As an example, the first information block indicates the start and end times of the first time-frequency resource.

[0715] As an example, the first information block indicates the start time and time domain length of the first time-frequency resource.

[0716] As an example, the first information block indicates the lowest and highest frequency points of the first time-frequency resource.

[0717] As an example, the first information block indicates the lowest frequency point and frequency domain length of the first time-frequency resource.

[0718] As an example, the first information block implicitly indicates the first time-frequency resource.

[0719] As an example, the first information block indicates the first time-frequency resource by indicating other information.

[0720] As a sub-implementation of the above embodiments, the other information includes, but is not limited to, one or more of the following: channel environment type, mobile speed, subcarrier spacing, delay spread, Doppler spread, Doppler shift, average delay, and spatial reception parameters.

[0721] As an example, the first information block indicates that a time-frequency resource includes at least one of the time-domain length and the frequency-domain length of the time-frequency resource.

[0722] As a sub-implementation of the above embodiments, the first information block explicitly indicates the time domain length of the time-frequency resource.

[0723] As a sub-implementation of the above embodiments, the first information block implicitly indicates the time domain length of the time-frequency resource.

[0724] As a sub-implementation of the above embodiments, the first information block indicates the time domain length of the time-frequency resource by indicating the start or end time of at least one other time-frequency resource.

[0725] As a sub-implementation of the above embodiments, the first information block explicitly indicates the frequency domain length of the time-frequency resource.

[0726] As a sub-implementation of the above embodiments, the first information block implicitly indicates the frequency domain length of the time-frequency resource.

[0727] As a sub-implementation of the above embodiments, the first information block indicates the frequency domain length of the time-frequency resource by indicating the lowest or highest frequency point of at least one other time-frequency resource.

[0728] As an example, the first node determines the first time-frequency resource on its own.

[0729] The advantages of the above method include giving the first node sufficient degrees of freedom to determine the time-frequency resources targeted by the first channel information based on the actual channel conditions, thereby optimizing the reporting.

[0730] Generally, how the first node determines the first time-frequency resource is determined by the hardware equipment manufacturer. Below are some non-limiting implementation methods:

[0731] As an example, the first node determines the first time-frequency resource based on the measurement of RS.

[0732] As an example, the first node determines the first time-frequency resource based on instructions from the network side and measurements of the RS.

[0733] As an example, the first node determines the first time-frequency resource by determining the rate of change of the channel in the time domain and / or frequency domain.

[0734] As an example, the first node selects the first time-frequency resource such that the channel variation within the first time-frequency resource is less than a threshold.

[0735] As an example, the first node obtains channel characteristics by measurement and determines the first time-frequency resource based on the channel characteristics.

[0736] As an example, the first node selects the first time-frequency resource such that the change in channel characteristics within the first time-frequency resource is less than a threshold.

[0737] As an example, the first node selects the first time-frequency resource such that the first RS resource is located within the first time-frequency resource in the frequency domain.

[0738] As an example, the first node selects the first time-frequency resource such that each of the at least first RS resources is located within the first time-frequency resource in the frequency domain.

[0739] As an example, the first node selects the first time-frequency resource such that any of the at least first RS resources having the same number of ports as the first RS resource is located within the first time-frequency resource in the frequency domain.

[0740] As an example, the first node selects the first time-frequency resource such that the first time-frequency resource does not include a sub-band that satisfies a first condition: if the frequency domain density of the first RS resource per port per RB in a sub-band is less than the density configured for the first RS resource, the sub-band satisfies the first condition.

[0741] As an example, the first node selects the first time-frequency resource such that the time-domain variation of the channel within the first time-frequency resource is less than a threshold.

[0742] As an example, the first node inputs a measurement result within a time-frequency range into an inference-based operation, the output of which indicates the first time-frequency resource.

[0743] As an example, the first node determines the first time-frequency resource based on its movement speed.

[0744] As an example, the first node determines the first time-frequency resource based on the received beam update or TCI update rate.

[0745] As an example, the first node randomly divides a time-frequency range to obtain multiple time-frequency resources, and the first time-frequency resource is one of the multiple time-frequency resources.

[0746] Example 13

[0747] Example 13 illustrates a schematic diagram of K1 channel information for K1 time-frequency resources according to an embodiment of this application; as shown in the attached diagram. Figure 13As shown. In Embodiment 13, the at least first channel information includes K1 channel information items, where the first channel information is one of the K1 channel information items; the K1 channel information items are respectively for K1 time-frequency resources. (See Appendix) Figure 13 In this context, the K1 channel information are represented as channel information #0, ..., channel information #(K1-1); the K1 time-frequency resources are represented as time-frequency resources #0, ..., time-frequency resources #(K1-1); and channel information #i is for time-frequency resources #i, i = 0, ..., K1-1.

[0748] As an example, the first channel information is any one of the K1 channel information.

[0749] As an example, the first time-frequency resource is one of the K1 time-frequency resources.

[0750] As an example, the first time-frequency resource is the time-frequency resource to which the first channel information is targeted among the K1 time-frequency resources.

[0751] In a preferred embodiment, any one of the K1 channel information depends on the measurement on the at least first RS resource.

[0752] As an example, any two of the K1 channel information pieces depend on measurements taken at different transmission times of the at least first RS resource.

[0753] As an example, any two of the K1 channel information pieces depend on measurements of the frequency-domain orthogonal RSs of the at least first RS resource.

[0754] As an example, any two of the K1 channel information pieces depend on measurements on one or more of the same RS resources in the at least first RS resource.

[0755] As an example, among the K1 channel information, two channel information depend on measurements on different RS resources in the at least first RS resource.

[0756] As an example, any two of the K1 channel information pieces depend on measurements on different RS resources in the at least first RS resource.

[0757] As an example, the K1 channel information are transmitted on the same physical layer channel.

[0758] As an example, any one of the K1 channel information includes CSI.

[0759] As an example, any one of the K1 channel information includes one or more of CQI, PMI, CRI, LI, RI, SSBR, RSRP, SINR, capability index, TDCP, RSRQ, and RSSI.

[0760] As an example, any one of the K1 channel information includes PMI.

[0761] As an example, any one of the K1 channel information includes PMI and RI.

[0762] As an example, any one of the K1 channel information includes PMI, RI, and CQI.

[0763] As an example, any one of the K1 channel information includes a precoding matrix.

[0764] As an example, any one of the K1 channel information includes precoding information.

[0765] In a preferred embodiment, any one of the K1 channel information is used to determine at least one precoding matrix.

[0766] In a preferred embodiment, any one of the K1 channel information includes a codebook-based PMI.

[0767] As a sub-example of the above embodiments, the codebook is a codebook supported by 3GPP R18 or earlier versions.

[0768] As a sub-implementation of the above embodiments, the codebook is a Type II codebook.

[0769] As an example, the K1 channel information items each relate to the K1 time-frequency resources.

[0770] As an example, the K1 channel information are reported for the K1 time-frequency resources.

[0771] As an example, the CSI reference resources for the K1 channel information are the K1 time-frequency resources.

[0772] As an example, the channel measurements used to calculate the K1 channel information are obtained from RSs located within the K1 time-frequency resources.

[0773] As an example, the K1 channel information items respectively reflect the channel state within the K1 time-frequency resources.

[0774] As an example, the K1 channel information is valid within the K1 time-frequency resources respectively.

[0775] Example 14

[0776] Example 14 illustrates a schematic diagram of K1 time-frequency resources belonging to a first time-frequency resource pool according to an embodiment of this application; as shown in the attached diagram. Figure 14 As shown. In the appendix Figure 14 In this context, the K1 time-frequency resources are respectively represented as time-frequency resource #0, ..., time-frequency resource #(K1-1).

[0777] In a preferred embodiment, the K1 time-frequency resources are mutually orthogonal.

[0778] As an example, any one of the K1 time-frequency resources includes a continuous time period in the time domain.

[0779] As an example, any one of the K1 time-frequency resources includes a continuous time period in the time domain, represented as s, ms, or μs.

[0780] As an example, any one of the K1 time-frequency resources includes a positive integer number of symbols in the time domain.

[0781] As an example, any one of the K1 time-frequency resources includes a positive integer number of time slots in the time domain.

[0782] As an example, any one of the K1 time-frequency resources includes a positive integer number of frames or subframes in the time domain.

[0783] As an example, any one of the K1 time-frequency resources includes a continuous frequency domain resource in the frequency domain.

[0784] As an example, any one of the K1 time-frequency resources includes a continuous frequency domain resource represented as Hz, kHz, or MHz in the frequency domain.

[0785] As an example, any one of the K1 time-frequency resources includes a positive integer number of subcarriers in the frequency domain.

[0786] As an example, any one of the K1 time-frequency resources includes a positive integer number of RBs in the frequency domain.

[0787] As an example, any one of the K1 time-frequency resources includes a positive integer number of sub-bands in the frequency domain.

[0788] As an example, the K1 time-frequency resources are pairwise orthogonal in the time domain, as shown in the attached figure.Figure 14 As shown in (a).

[0789] As a sub-example of the above embodiment, the K1 time-frequency resources have the same frequency domain resources.

[0790] As a sub-example of the above embodiment, at least two of the K1 time-frequency resources have different frequency domain resources.

[0791] As an example, the K1 time-frequency resources are pairwise orthogonal in the frequency domain, as shown in the attached figure. Figure 14 As shown in (b).

[0792] As a sub-example of the above embodiment, the K1 time-frequency resources have the same time-domain resources.

[0793] As a sub-example of the above embodiment, at least two of the K1 time-frequency resources have different time-domain resources.

[0794] As an example, among the K1 time-frequency resources, there are two time-frequency resources that are orthogonal in the time domain and two time-frequency resources that are orthogonal in the frequency domain.

[0795] In a preferred embodiment, any two of the K1 time-frequency resources are of the same size.

[0796] In a preferred embodiment, any two of the K1 time-frequency resources have the same time domain length and the same frequency domain length.

[0797] In a preferred embodiment, the time-domain interval between any two time-frequency resources that are adjacent in the time domain among the K1 time-frequency resources is equal.

[0798] As an example, the time-domain interval between two time-frequency resources refers to the interval between the start times of the two time-frequency resources in the time domain.

[0799] As an example, the time-domain interval between two time-frequency resources refers to the interval between the end time of the first time-frequency resource and the start time of the second time-frequency resource.

[0800] In a preferred embodiment, the frequency domain spacing between any two time-frequency resources that are adjacent in the frequency domain among the K1 time-frequency resources is equal.

[0801] As an example, the frequency domain spacing between two time-frequency resources refers to the spacing between the lowest frequency points of the two time-frequency resources.

[0802] As an example, the frequency domain spacing between two time-frequency resources refers to the interval between the highest frequency point of the time-frequency resource with a lower frequency domain and the lowest frequency point of the time-frequency resource with a higher frequency domain.

[0803] As an example, the first time-frequency resource pool includes a continuous time period in the time domain.

[0804] As an example, the first time-frequency resource pool includes a continuous time period in the time domain, represented as s, ms, or μs.

[0805] As an example, the first time-frequency resource pool includes a positive integer number of symbols in the time domain.

[0806] As an example, the first time-frequency resource pool includes a positive integer number of time slots in the time domain.

[0807] As one embodiment, the first time-frequency resource pool includes a positive integer number of frames or sub-frames in the time domain.

[0808] As an example, the first time-frequency resource pool includes a continuous frequency domain resource in the frequency domain.

[0809] As one embodiment, the first time-frequency resource pool includes a continuous frequency domain resource in the frequency domain, represented as Hz, kHz, or MHz.

[0810] As one embodiment, the first time-frequency resource pool includes a positive integer number of subcarriers in the frequency domain.

[0811] As an example, the first time-frequency resource pool includes a positive integer number of RBs (Resource Blocks) in the frequency domain.

[0812] As one embodiment, the first time-frequency resource pool includes a positive integer number of sub-bands in the frequency domain.

[0813] As an example, the time-domain resources of the first time-frequency resource are a proper subset of the time-domain resources of the first time-frequency resource pool.

[0814] As a sub-implementation of the above embodiments, the first time-frequency resource and the first time-frequency resource pool have the same frequency domain resources.

[0815] As an example, the frequency domain resources of the first time-frequency resource are a proper subset of the frequency domain resources of the first time-frequency resource pool.

[0816] As a sub-implementation of the above embodiments, the first time-frequency resource and the first time-frequency resource pool have the same time-domain resources.

[0817] As an example, the time-domain resources of the first time-frequency resource are a proper subset of the time-domain resources of the first time-frequency resource pool, and the frequency-domain resources of the first time-frequency resource are a proper subset of the frequency-domain resources of the first time-frequency resource pool.

[0818] As an example, the first information block explicitly indicates the first time-frequency resource pool.

[0819] As an example, the first information block indicates the start and end times of the first time-frequency resource pool.

[0820] As an example, the first information block indicates the start time and time domain length of the first time-frequency resource pool.

[0821] As an example, the first information block indicates the lowest and highest frequency points of the first time-frequency resource pool.

[0822] As an example, the first information block indicates the lowest frequency point and frequency domain length of the first time-frequency resource pool.

[0823] As an example, the first information block indicates the start time and lowest frequency of the first time-frequency resource pool.

[0824] As an example, the first information block indicates the time domain length and frequency domain length of the first time-frequency resource pool.

[0825] As an example, the first information block implicitly indicates the first time-frequency resource pool.

[0826] As an example, the first information block indicates the first time-frequency resource pool by indicating other information.

[0827] As a sub-implementation of the above embodiments, the other information includes, but is not limited to, one or more of the following: channel environment type, mobile speed, subcarrier spacing, delay spread, Doppler spread, Doppler shift, average delay, and spatial reception parameters.

[0828] As an example, the first information block explicitly indicates the time domain length of the first time-frequency resource pool.

[0829] As an example, the first information block implicitly indicates the time domain length of the first time-frequency resource pool.

[0830] As an example, the first information block indicates the time domain length of the first time-frequency resource pool by indicating the start or end time of at least one other time-frequency resource pool.

[0831] As an example, the first information block explicitly indicates the frequency domain length of the first time-frequency resource pool.

[0832] As an example, the first information block implicitly indicates the frequency domain length of the first time-frequency resource pool.

[0833] As an example, the first information block indicates the frequency domain length of the first time-frequency resource pool by indicating the lowest or highest frequency point of at least one other time-frequency resource pool.

[0834] As an example, the first node determines the first time-frequency resource pool on its own.

[0835] The advantages of the above method include giving the first node sufficient degrees of freedom to determine the first time-frequency resource pool based on the actual channel conditions, thereby optimizing the reporting process.

[0836] Generally, how the first node determines the first time-frequency resource pool is determined by the hardware equipment vendor. Below are some non-limiting implementation methods:

[0837] As an example, the first node determines the first time-frequency resource pool based on the measurement of RS.

[0838] As an example, the first node determines the first time-frequency resource pool based on instructions from the network side and measurements of the RS.

[0839] As an example, the first node determines the first time-frequency resource pool based on the rate of change of the channel in the time domain and / or frequency domain.

[0840] As an example, the first node obtains channel characteristics by measurement and determines the first time-frequency resource pool based on the channel characteristics.

[0841] As an example, the first node selects the first time-frequency resource pool such that the channel characteristics remain unchanged within the first time-frequency resource pool.

[0842] As an example, the first node selects the first time-frequency resource pool such that the change in channel characteristics within the first time-frequency resource pool is less than a threshold.

[0843] As an example, the first node inputs a measurement result within a time-frequency range into an inference-based operation, the output of which indicates the first time-frequency resource pool.

[0844] As a sub-implementation of the above embodiment, the output of the reasoning-based operation indicates multiple time-frequency resource pools obtained by dividing the time-frequency range, wherein the first time-frequency resource pool is one of the multiple time-frequency resource pools.

[0845] As one example, the first node determines the first time-frequency resource pool based on its movement speed.

[0846] As an example, the first node determines the first time-frequency resource pool based on the received beam or TCI indication.

[0847] As an example, the first node determines the first time-frequency resource pool based on the received beam update or TCI update rate.

[0848] As an example, the first node randomly divides a time-frequency range to obtain multiple time-frequency resource pools, and the first time-frequency resource pool is one of the multiple time-frequency resource pools.

[0849] As one embodiment, the first node receives a plurality of information blocks, each of the plurality of information blocks indicating an increase or decrease in the size of the time-frequency resource pool, and the first node accumulates the indications of the plurality of information blocks to determine the first time-frequency resource pool.

[0850] As a sub-implementation of the above embodiment, the first node determines the first time-frequency resource pool by accumulating the indications of the plurality of information blocks based on an initial time-frequency resource pool.

[0851] Example 15

[0852] Example 15 illustrates a schematic diagram of a first parameter set used to generate K1 channel information according to an embodiment of this application; as shown in the appendix. Figure 15 As shown.

[0853] As an example, the first set of parameters is used to generate each of the K1 channel information.

[0854] As an example, the number of bits included in any of the K1 channel information depends on the first parameter set.

[0855] As an example, the size of any one of the K1 channel information depends on the first parameter set.

[0856] As an example, the load size of any one of the K1 channel information depends on the first parameter set.

[0857] As an example, the accuracy of any one of the K1 channel information depends on the first parameter set.

[0858] As an example, any one of the K1 channel information indicates multiple vectors and multiple coefficients.

[0859] As a sub-implementation of the above embodiments, the generation of the plurality of vectors and the plurality of coefficients depends on the first parameter set.

[0860] As a sub-implementation of the above embodiments, the plurality of vectors and the plurality of coefficients are used to generate at least one precoding matrix.

[0861] As a sub-example of the above embodiment, the number of vectors indicated by any of the K1 channel information depends on the first parameter set.

[0862] As a sub-example of the above embodiment, the number of coefficients indicated by any of the K1 channel information depends on the first parameter set.

[0863] As a sub-example of the above embodiment, the number of coefficients of the non-fixed values ​​indicated by any of the K1 channel information depends on the first parameter set.

[0864] As a sub-example of the above embodiment, the coefficient indicated by any one of the K1 channel information includes an amplitude coefficient, and the number of non-zero amplitude coefficients indicated by any one of the K1 channel information depends on the first parameter set.

[0865] As a sub-implementation of the above embodiments, the value range of at least one of the plurality of coefficients depends on the first parameter set.

[0866] As an example, any one of the K1 channel information is used to determine at least one precoding matrix, and any one of the at least one precoding matrix is ​​for a time-frequency resource.

[0867] As a sub-example of the above embodiment, the number of precoding matrices determined by any one of the K1 channel information depends on the first parameter set.

[0868] As a sub-implementation of the above embodiments, the time-frequency resources targeted by any of the at least one precoding matrix depend on the first parameter set.

[0869] As a sub-implementation of the above embodiments, at least one of the time-domain length and frequency-domain length of the time-frequency resource targeted by any of the at least one precoding matrix depends on the first parameter set.

[0870] In a preferred embodiment, the first parameter set is applicable to the first time-frequency resource pool.

[0871] In a preferred embodiment, the first parameter set is used to generate channel information for time-frequency resources located within the first time-frequency resource pool.

[0872] In a preferred embodiment, the first parameter set is used to generate channel information for any of the at least first channel information whose time-frequency resources are located within the first time-frequency resource pool.

[0873] Example 16

[0874] Example 16 illustrates a schematic diagram of first channel information and second channel information according to an embodiment of this application; as shown in the appendix. Figure 16 As shown.

[0875] As one embodiment, the second channel information and the first channel information are transmitted on the same physical layer channel.

[0876] As one embodiment, the second channel information and the first channel information are transmitted on different physical layer channels.

[0877] As one embodiment, the transmission of the second channel information is earlier than the transmission of the first channel information.

[0878] As one example, the transmission of the second channel information is later than the transmission of the first channel information.

[0879] As one example, the second channel information and the first channel information are configured for the same CSI reporting.

[0880] The advantages of the above method include allowing different sets of parameters to be used for different CSI reports generated by the same CSI reporting configuration according to the actual channel environment, providing greater flexibility and saving configuration signaling overhead.

[0881] As one example, the second channel information includes CSI.

[0882] As an example, the second channel information includes one or more of CQI, PMI, CRI, LI, RI, SSBRI, RSRP, SINR, RSRQ, RSSI, capability index, and TDCP.

[0883] As one example, the second channel information includes PMI.

[0884] As one example, the second channel information includes PMI and RI.

[0885] As one example, the second channel information includes PMI, RI, and CQI.

[0886] As one embodiment, the second channel information includes a precoding matrix.

[0887] As one embodiment, the second channel information includes precoded information.

[0888] In a preferred embodiment, the second channel information is used to determine at least one precoding matrix.

[0889] As one embodiment, the second channel information includes one of RSRP, SINR, RSRQ, or RSSI.

[0890] In a preferred embodiment, the second channel information includes a codebook-based PMI.

[0891] As a sub-example of the embodiment, the codebook is a codebook supported by 3GPP R18 or earlier.

[0892] As a sub-implementation of the embodiment, the codebook is a Type II codebook.

[0893] In a preferred embodiment, both the second channel information and the first channel information include PMI.

[0894] As a sub-example of the embodiment, the codebook is a codebook supported by 3GPP R18 or earlier.

[0895] As a sub-implementation of the embodiment, the codebook is a Type II codebook.

[0896] As one embodiment, the second channel information depends on the measurement on the at least first RS resource.

[0897] As one embodiment, the second channel information depends on measurements on each of the at least first RS resources.

[0898] As one embodiment, the second channel information depends on measurements on only a portion of the RS resources in the at least first RS resources.

[0899] As an example, the first node obtains channel measurements for calculating the second channel information based on each of the at least first RS resources.

[0900] As an example, the first node obtains channel measurements for calculating the second channel information based only on a portion of the RS resources in the at least first RS resources.

[0901] As one embodiment, the first channel information and the second channel information depend on measurements on one or more of the same RS resources among the at least first RS resources.

[0902] As one embodiment, the first channel information and the second channel information depend on measurements of different transmission times of the same one or more RS resources in the at least first RS resources.

[0903] As one embodiment, the first channel information and the second channel information depend on measurements of frequency-domain orthogonal RSs of one or more of the same RS resources in the at least first RS resources.

[0904] As one embodiment, the first channel information and the second channel information depend on measurements on different RS resources among the at least first RS resources.

[0905] As an example, the first node obtains channel measurements for calculating the second channel information based solely on the transmission timing of the at least first RS resource belonging to the second time-frequency resource.

[0906] As an example, the first node obtains channel measurements for calculating the second channel information based only on the RS that belongs to the second time-frequency resource in the frequency domain during the transmission timing of the at least first RS resource in the time domain.

[0907] As an example, the first node obtains channel measurements for calculating the second channel information based only on RSs located within the second time-frequency resource of the at least first RS resource.

[0908] As an example, the first node obtains channel measurements for calculating the second channel information based only on the transmission timing of the at least first RS resource, which is no later than the second time-frequency resource in the time domain and within the second time-frequency resource in the frequency domain.

[0909] As an example, the first node obtains channel measurements for calculating the second channel information based only on RSs that are no later than the second time-frequency resource in the time domain and located within the second time-frequency resource in the frequency domain of the at least first RS resource.

[0910] As an example, the first node obtains channel measurements for calculating the second channel information based only on RSs located within the second time-frequency resource in the frequency domain, which are at least the first RS resources and whose transmission timing in the time domain is no later than that of the second time-frequency resource.

[0911] As an example, the at least first RS resource includes a plurality of RS resources, only a portion of which are located within the second time-frequency resource in the frequency domain. The first node obtains channel measurements for calculating the second channel information based only on the transmission timing of the portion of RS resources located within the second time-frequency resource in the time domain.

[0912] As one embodiment, the at least first RS resource includes a plurality of RS resources, only a portion of which are located within the second time-frequency resource in the frequency domain. The first node obtains channel measurements for calculating the second channel information based solely on the transmission timing of the portion of RS resources in the time domain no later than that of the second time-frequency resource.

[0913] As one embodiment, the second channel information relates to the second time-frequency resource.

[0914] As one embodiment, the second channel information is reported for the second time-frequency resource.

[0915] As an example, the CSI reference resource for the second channel information is the second time-frequency resource.

[0916] As one example, the channel measurement used to calculate the second channel information is obtained from the RS located within the second time-frequency resource.

[0917] As an example, the second channel information reflects the channel state within the second time-frequency resource.

[0918] As an example, the second channel information is valid within the second time-frequency resource.

[0919] As one embodiment, the second channel information is used to determine a plurality of precoding matrices, the plurality of precoding matrices being for a plurality of time-frequency resources, the second time-frequency resources including the plurality of time-frequency resources.

[0920] As one embodiment, the second time-frequency resource includes a continuous time period in the time domain.

[0921] As one embodiment, the second time-frequency resource includes a continuous time period in the time domain, represented as s, ms, or μs.

[0922] As one embodiment, the second time-frequency resource includes a positive integer number of symbols in the time domain.

[0923] As one embodiment, the second time-frequency resource includes a positive integer number of time slots in the time domain.

[0924] As one embodiment, the second time-frequency resource includes a positive integer number of frames or sub-frames in the time domain.

[0925] As one embodiment, the second time-frequency resource includes a continuous frequency domain resource in the frequency domain.

[0926] As one embodiment, the second time-frequency resource includes a continuous frequency domain resource represented as Hz, kHz, or MHz in the frequency domain.

[0927] As one embodiment, the second time-frequency resource includes a positive integer number of subcarriers in the frequency domain.

[0928] As one embodiment, the second time-frequency resource includes a positive integer number of RBs in the frequency domain.

[0929] As one embodiment, the second time-frequency resource includes a positive integer number of sub-bands in the frequency domain.

[0930] In a preferred embodiment, the second time-frequency resource and the first time-frequency resource are orthogonal to each other.

[0931] As one embodiment, the second time-frequency resource and the first time-frequency resource are orthogonal to each other in the time domain.

[0932] As a sub-implementation of the above embodiments, the second time-frequency resource and the first time-frequency resource have the same frequency domain resources.

[0933] As one embodiment, the second time-frequency resource and the first time-frequency resource are orthogonal to each other in the frequency domain.

[0934] As a sub-implementation of the above embodiments, the second time-frequency resource and the first time-frequency resource have the same time-domain resources.

[0935] As one embodiment, the second time-frequency resource and the first time-frequency resource are orthogonal to each other in the time domain and also orthogonal to each other in the frequency domain.

[0936] Example 17

[0937] Example 17 illustrates a schematic diagram of a first time-frequency resource and a second time-frequency resource according to an embodiment of this application; as shown in the appendix. Figure 17 As shown. In Embodiment 17, the first time-frequency resource and the second time-frequency resource are orthogonal to each other in the time-frequency domain. (See Appendix) Figure 17 In the text, boxes filled with dots, diagonal lines, cross lines, and horizontal lines all represent RSs transmitted in the at least first RS resource, and two solid-line boxes represent the first time-frequency resource and the second time-frequency resource, respectively.

[0938] As an example, the first node is based only on RSs located within the first time-frequency resource (e.g., attached) of the at least first RS resource. Figure 17 The first node obtains channel measurements for calculating the first channel information based only on RSs located within the second time-frequency resource (e.g., attached) of the at least first RS resource. Figure 17 The box filled with diagonal lines (the box) is used to obtain the channel measurement for calculating the second channel information.

[0939] The advantages of the above method include more accurate channel information.

[0940] As one embodiment, the at least first RS resource includes a plurality of RS resources, a portion of which (e.g., attached) Figure 17 (b) The box filled with cross lines and horizontal lines is located within the first time-frequency resource in the frequency domain. Another portion of the plurality of RS resources (e.g., the attached) Figure 17 (b) The box filled with diagonal lines and dots is located within the second time-frequency resource in the frequency domain. The first node is used to calculate the channel measurement of the first channel information based only on the acquisition of the first part of the RS resource. The first node is used to calculate the channel measurement of the second channel information based only on the acquisition of the other part of the RS resource.

[0941] As a sub-implementation of the above embodiment, the first node is based solely on the transmission timing of the portion of RS resources within the first time-frequency resources in the time domain (e.g., as shown in the appendix). Figure 17 (b) The box filled with cross lines obtains the channel measurement used to calculate the first channel information.

[0942] As a sub-implementation of the above embodiment, the first node is based solely on the transmission timing of the other portion of RS resources within the second time-frequency resources in the time domain (e.g., as shown in the appendix). Figure 17 (b) The diagonally filled box) obtains the channel measurement used to calculate the second channel information.

[0943] As one embodiment, the first RS resource includes a portion in the frequency domain located within the first time-frequency resource (e.g., appended). Figure 17 (a) the box filled with cross lines) and the portion located outside the first time-frequency resource in the frequency domain (e.g., the appendix). Figure 17 (a) The box filled with a horizontal line, the first RS resource includes the portion in the frequency domain located within the second time-frequency resource (e.g., the attached box). Figure 17 (a) the box filled with diagonal lines) and the portion located outside the second time-frequency resource in the frequency domain (e.g., the appendix). Example 18(a) A box filled with small dots), the first node obtains channel measurements for calculating the first channel information based on the first RS resource only in the frequency domain of the RS located within the first time-frequency resource, and the first node obtains channel measurements for calculating the second channel information based on the first RS resource only in the frequency domain of the RS located within the second time-frequency resource.

[0944] As a sub-implementation of the above embodiment, the first node obtains channel measurements for calculating the first channel information based on RS resources located within the first time-frequency resources only during transmission times within the first time-frequency resources in the time domain.

[0945] As a sub-example of the above embodiment, the first node obtains channel measurements for calculating the second channel information based on the RS resources located within the second time-frequency resources only during transmissions in the time domain of the first RS resources.

[0946] Figure 18

[0947] Example 18 illustrates a schematic diagram of a first time-frequency resource and a second time-frequency resource according to an embodiment of this application; as shown in the appendix. Example 19 As shown. In Embodiment 18, the length of the first time-frequency resource is not equal to the length of the second time-frequency resource.

[0948] The advantages of the above method include that, based on the actual channel environment, different channel information can be targeted at time-frequency resources of different sizes, further improving the quality and overhead of the reported information and further improving system performance.

[0949] As an example, the length refers to the time domain length.

[0950] As an example, the length refers to the frequency domain length.

[0951] As an example, the length includes the time domain length and the frequency domain length.

[0952] Figure 19

[0953] Example 19 illustrates a schematic diagram of a second parameter set used to generate second channel information according to an embodiment of this application; as shown in the appendix. Example 20 As shown.

[0954] As one example, the second parameter set includes one or more parameters.

[0955] As one example, the second parameter set includes frequency domain configuration parameters.

[0956] As one embodiment, the second set of parameters includes the number of beams.

[0957] As one example, the second set of parameters includes parameters related to the number of vectors.

[0958] As one example, the second parameter set includes parameters related to the number of coefficients.

[0959] As one example, the second set of parameters includes parameters related to coefficient quantization.

[0960] As one embodiment, the second set of parameters includes time slot interval configuration parameters.

[0961] As an example, the second parameter set includes one or more of the following: a higher-level parameter whose name includes reportFreqConfiguration; a higher-level parameter whose name includes numberOfBeams; a higher-level parameter whose name includes paramCombination; a higher-level parameter whose name includes numberOfPMI-SubbandsPerCQI-Subband; a higher-level parameter whose name includes td-dd-config; and a higher-level parameter whose name includes paramCombination-Doppler.

[0962] As an example, at least one parameter in the first parameter set and the second parameter set are different.

[0963] As one example, the number of bits included in the second channel information depends on the second set of parameters.

[0964] As one example, the size of the second channel information depends on the second set of parameters.

[0965] As an example, the payload size of the second channel information depends on the second set of parameters.

[0966] As an example, the payload size of the first channel information is different from the payload size of the second channel information.

[0967] As one example, the accuracy of the second channel information depends on the second set of parameters.

[0968] As an example, the accuracy of the first channel information differs from the accuracy of the second channel information.

[0969] As one example, the second channel information indicates multiple vectors and multiple coefficients.

[0970] As a sub-implementation of the above embodiments, the generation of the plurality of vectors and the plurality of coefficients depends on the second parameter set.

[0971] As a sub-implementation of the above embodiments, the plurality of vectors and the plurality of coefficients are used to generate at least one precoding matrix.

[0972] As a sub-implementation of the above embodiments, the number of vectors indicated by the second channel information depends on the second parameter set.

[0973] As a sub-implementation of the above embodiments, the number of coefficients of the non-fixed values ​​indicated by the second channel information depends on the second parameter set.

[0974] As a sub-implementation of the above embodiment, the plurality of coefficients includes amplitude coefficients, and the number of non-zero amplitude coefficients indicated by the second channel information depends on the second parameter set.

[0975] As a sub-implementation of the above embodiments, the number of coefficients indicated by the second channel information depends on the second parameter set.

[0976] As a sub-implementation of the above embodiment, the value range of at least one of the plurality of coefficients depends on the second parameter set.

[0977] As an example, the second channel information is used to determine at least one precoding matrix, any one of the at least one precoding matrix being for a time-frequency resource.

[0978] As a sub-implementation of the above embodiments, the number of precoding matrices used to determine the second channel information depends on the second parameter set.

[0979] As a sub-implementation of the above embodiments, the time-frequency resources targeted by any of the at least one precoding matrix depend on the second parameter set.

[0980] As a sub-implementation of the above embodiments, at least one of the time-domain length and frequency-domain length of the time-frequency resource targeted by any of the at least one precoding matrices depends on the second parameter set.

[0981] As an example, the second channel information is used to determine W0 precoding matrices, where W0 is a positive integer.

[0982] As an example, the second channel information is used to determine W0 precoding matrices, each of which is for one of the W0 PMI subbands, where W0 is a positive integer.

[0983] As one example, W0 depends on the second set of parameters.

[0984] As an example, the second parameter set indicates the W0.

[0985] As an example, W depends on the first set of parameters, W0 depends on the second set of parameters, and W is not equal to W0.

[0986] As an example, the length of each PMI subband in the W0 PMI subbands depends on the second set of parameters.

[0987] As an example, the length of each PMI subband in the W PMI subbands depends on the first parameter set, the length of each PMI subband in the W0 PMI subbands depends on the second parameter set, and the length of any PMI subband in the W PMI subbands is different from the length of any PMI subband in the W0 PMI subbands.

[0988] As one embodiment, the second channel information is used to determine N0 precoding matrix groups, each of which corresponds to N0 slot intervals, where N0 is a positive integer.

[0989] As an example, N0 depends on the second set of parameters.

[0990] As an example, the second set of parameters indicates the N0.

[0991] As an example, N depends on the first parameter set, N0 depends on the second parameter set, and N is not equal to N0.

[0992] As an example, the length of each of the N0 time slot intervals depends on the second set of parameters.

[0993] As an example, the second parameter set indicates the length of each of the N0 time slot intervals.

[0994] As an example, the length of each of the N time slot intervals depends on the first parameter set, the length of each of the N0 time slot intervals depends on the second parameter set, and the length of any time slot interval in the N time slot intervals is not equal to the length of any time slot interval in the N0 time slot intervals.

[0995] As an example, the N0 time slot intervals are continuous in the time domain.

[0996] As an example, the N0 time slot intervals are of equal length.

[0997] As an example, each of the N0 precoding matrix groups includes W0 precoding matrices.

[0998] As a sub-implementation of the above embodiments, W0 depends on the second parameter set.

[0999] As one example, the second channel information indicates L0 vectors.

[1000] As a sub-implementation of the above embodiment, the L0 vectors are used to compute the W0 precoding matrices.

[1001] As a sub-implementation of the above embodiment, the W0 precoding matrices depend on the sum of the L0 vectors after being weighted by weighted coefficients.

[1002] As one embodiment, the second channel information indicates L0 vectors and M0 vectors.

[1003] As a sub-implementation of the above embodiment, the L0 vectors and the M0 vectors are used together to calculate the W0 precoding matrices.

[1004] As a sub-implementation of the above embodiment, the W0 precoding matrices depend on the sum of the L0 vectors after being weighted by weighting coefficients, and the weighting coefficients depend on the M0 vectors.

[1005] As one embodiment, the second channel information indicates L0 vectors and L3 coefficient groups, where L3 is equal to L0 multiplied by 2.

[1006] As a sub-implementation of the above embodiment, the L0 vectors and the L3 coefficient groups are used together to calculate the W0 precoding matrices.

[1007] As a sub-implementation of the above embodiment, the W0 precoding matrices depend on the sum of the L0 vectors after being weighted by weighted coefficients, and the weighted coefficients depend on the L3 coefficient groups.

[1008] As one embodiment, the first channel information indicates L0 vectors, M0 vectors and L3 coefficient groups, where L3 is equal to L0 multiplied by 2.

[1009] As a sub-implementation of the above embodiment, the L0 vectors, the M0 vectors, and the L3 coefficient groups are used together to calculate the W0 precoding matrices.

[1010] As a sub-implementation of the above embodiment, the W0 precoding matrices depend on the sum of the L0 vectors after being weighted by weighted coefficients, and the weighted coefficients depend on the M0 vectors and the L3 coefficient groups.

[1011] As one embodiment, the second channel information indicates L0 vectors, M0 vectors, Q0 vectors and L3 coefficient groups, where L3 is equal to L0 multiplied by 2.

[1012] As a sub-implementation of the above embodiment, the L0 vectors, the M0 vectors, the Q0 vectors, and the L3 coefficient groups are used together to calculate the N0 precoding matrix groups.

[1013] As a sub-implementation of the above embodiment, the N0 precoding matrix groups depend on the sum of the L0 vectors after being weighted by weighted coefficients, and the weighted coefficients depend on the M0 vectors, the Q0 vectors and the L3 coefficient groups.

[1014] As an example, the second channel information sequentially indicates the L0 vectors.

[1015] As an example, the second channel information sequentially indicates the M0 vectors.

[1016] As an example, the second channel information sequentially indicates the Q0 vectors.

[1017] As an example, the second channel information sequentially indicates the L3 coefficient groups.

[1018] As an example, L0 is a positive integer greater than 1.

[1019] As an example, the L0 vectors are mutually orthogonal.

[1020] As an example, the length of any one of the L0 vectors depends on the number of ports.

[1021] As an example, the length of any one of the L0 vectors is equal to the number of ports of one of the at least first RS resources.

[1022] As an example, the L0 vectors are related to spatial domain characteristics or angular domain characteristics.

[1023] As an example, L0 depends on the second set of parameters.

[1024] As an example, the second parameter set indicates the L0.

[1025] As an example, L depends on the first parameter set, L0 depends on the second parameter set, and L is not equal to L0.

[1026] As an example, M0 is a positive integer greater than 1.

[1027] As an example, the M0 vectors are mutually orthogonal.

[1028] As an example, the length of any one of the M0 vectors is equal to that of W0.

[1029] As an example, the M0 vectors are related to frequency domain characteristics or time delay domain characteristics.

[1030] As an example, M0 depends on the second set of parameters.

[1031] As an example, M depends on the first parameter set, M0 depends on the second parameter set, and M is not equal to M0.

[1032] As an example, Q0 is a positive integer greater than 1.

[1033] As an example, the Q0 vectors are mutually orthogonal.

[1034] As an example, the length of any one of the Q0 vectors is equal to the length of N0.

[1035] As an example, the Q0 vectors are related to Doppler domain characteristics or time domain characteristics.

[1036] As an example, Q0 depends on the second set of parameters.

[1037] As an example, the second set of parameters indicates Q0.

[1038] As an example, Q depends on the first set of parameters, Q0 depends on the second set of parameters, and Q is not equal to Q0.

[1039] As an example, the number of coefficients in each of the L3 coefficient groups depends on the second parameter set.

[1040] As an example, any one of the L3 coefficient groups includes at least one amplitude coefficient and at least one phase coefficient.

[1041] As an example, any one of the L3 coefficient groups includes at least one amplitude coefficient, at least one phase coefficient, and at least one sub-band amplitude coefficient.

[1042] As an example, the weighting coefficient of any of the L0 vectors depends on the product of the amplitude coefficient and the phase coefficient.

[1043] As an example, the weighting coefficient of any of the L0 vectors is equal to the product of an amplitude coefficient, a phase coefficient, and a sub-band amplitude coefficient.

[1044] As an example, the second channel information explicitly indicates the L3 coefficient groups.

[1045] As an example, the second channel information implicitly indicates the L3 coefficient groups.

[1046] As an example, the second channel information explicitly indicates a portion of the coefficients in the L3 coefficient groups and implicitly indicates another portion of the coefficients in the L3 coefficient groups.

[1047] As an example, at least one of the number of coefficients and the range of values ​​in the L3 coefficient groups depends on the second parameter set.

[1048] As an example, the number of non-zero amplitude coefficients included in any of the L3 coefficient groups depends on the second parameter set.

[1049] As an example, the range of values ​​for at least one amplitude coefficient in the L3 coefficient groups depends on the second parameter set.

[1050] As an example, the second parameter set indicates the value range of at least one amplitude coefficient in the L3 coefficient groups.

[1051] As an example, the range of values ​​for at least one amplitude coefficient in the L2 coefficient groups is different from the range of values ​​for at least one amplitude coefficient in the L3 coefficient groups.

[1052] As an example, the range of values ​​for any amplitude coefficient in the L2 coefficient groups is different from the range of values ​​for any amplitude coefficient in the L3 coefficient groups.

[1053] As an example, the range of values ​​for at least one phase coefficient in the L3 coefficient groups depends on the second parameter set.

[1054] As an example, the second parameter set indicates the value range of at least one phase coefficient in the L3 coefficient groups.

[1055] As an example, the value range of at least one phase coefficient in the L2 coefficient group is different from the value range of at least one phase coefficient in the L3 coefficient group.

[1056] As an example, the value range of any phase coefficient in the L2 coefficient group is different from the value range of any phase coefficient in the L3 coefficient group.

[1057] As an example, whether any of the L3 coefficient groups includes a sub-band amplitude coefficient depends on the second parameter set.

[1058] As an example, the range of values ​​for at least one sub-band amplitude coefficient in the L3 coefficient groups depends on the second parameter set.

[1059] As an example, the second parameter set indicates the range of values ​​for at least one sub-band amplitude coefficient in the L3 coefficient groups.

[1060] As an example, the value range of at least one sub-band amplitude coefficient in the L2 coefficient group is different from the value range of at least one sub-band amplitude coefficient in the L3 coefficient group.

[1061] As an example, the second parameter set indicates the upper limit of the number of non-zero amplitude coefficients included in any of the L3 coefficient groups.

[1062] As an example, the second parameter set indicates the upper limit of the total number of non-zero amplitude coefficients included in the L3 coefficient groups.

[1063] As an example, the upper limit of the total number of non-zero amplitude coefficients in the L3 coefficient groups is different from the upper limit of the total number of non-zero amplitude coefficients in the L2 coefficient groups.

[1064] As an example, the second parameter set indicates the upper limit of at least one of the number of non-fixed phase coefficients and the number of non-fixed sub-band amplitude coefficients included in any of the L3 coefficient groups.

[1065] As an example, the second parameter set indicates the upper limit of at least one of the total number of non-fixed phase coefficients and the total number of non-fixed sub-band amplitude coefficients in the L3 coefficient groups.

[1066] As an example, the upper limit of the total number of non-fixed phase coefficients in the L3 coefficient groups is different from the upper limit of the total number of non-fixed phase coefficients in the L2 coefficient groups.

[1067] As an example, the upper limit of the total number of non-fixed subband amplitude coefficients in the L3 coefficient groups is different from the upper limit of the total number of non-fixed subband amplitude coefficients in the L2 coefficient groups.

[1068] As an example, the first information block explicitly indicates the second set of parameters.

[1069] As one embodiment, the first information block indicates each parameter in the second parameter set.

[1070] As one embodiment, the first information block indicates the second parameter set from a plurality of candidate parameter sets.

[1071] As one embodiment, some parameters in the second parameter set are the same as some parameters in the first parameter set, while other parameters in the second parameter set are different from other parameters in the first parameter set. The first information block only indicates the other part of the parameters in the second parameter set.

[1072] As an example, the first information block implicitly indicates the second parameter set.

[1073] As an example, the first information block indicates the second parameter set by indicating other information.

[1074] Figure 20

[1075] Example 20 illustrates a schematic diagram of a second parameter set used to generate K2 channel information according to an embodiment of this application; as shown in the appendix. Example 21 As shown.

[1076] As an example, the second parameter set is used to generate each of the K2 channel information.

[1077] As an example, the number of bits included in any of the K2 channel information depends on the second parameter set.

[1078] As an example, the load size of any of the K2 channel information depends on the second parameter set.

[1079] As an example, the accuracy of any one of the K2 channel information depends on the second parameter set.

[1080] As an example, any one of the K2 channel information indicates multiple vectors and multiple coefficients.

[1081] As a sub-implementation of the above embodiments, the generation of the plurality of vectors and the plurality of coefficients depends on the second parameter set.

[1082] As a sub-implementation of the above embodiments, the plurality of vectors and the plurality of coefficients are used to generate at least one precoding matrix.

[1083] As a sub-example of the above embodiment, the number of vectors indicated by any of the K2 channel information depends on the second parameter set.

[1084] As a sub-example of the above embodiment, the number of coefficients indicated by any of the K2 channel information depends on the second parameter set.

[1085] As a sub-example of the above embodiment, the number of coefficients of the non-fixed values ​​indicated by any of the K2 channel information depends on the second parameter set.

[1086] As a sub-example of the above embodiment, the coefficient indicated by any one of the K2 channel information includes an amplitude coefficient, and the number of non-zero amplitude coefficients indicated by any one of the K2 channel information depends on the second parameter set.

[1087] As a sub-implementation of the above embodiment, the value range of at least one of the plurality of coefficients depends on the second parameter set.

[1088] As an example, any one of the K2 channel information is used to determine at least one precoding matrix, and any one of the at least one precoding matrix is ​​for a time-frequency resource.

[1089] As a sub-implementation of the above embodiments, the number of the at least one precoding matrix depends on the second parameter set.

[1090] As a sub-implementation of the above embodiments, the time-frequency resources targeted by any of the at least one precoding matrix depend on the second parameter set.

[1091] As a sub-implementation of the above embodiments, at least one of the time-domain length and frequency-domain length of the time-frequency resource targeted by any of the at least one precoding matrices depends on the second parameter set.

[1092] Figure 21

[1093] Example 21 illustrates a schematic diagram according to an embodiment of this application, showing that K1 time-frequency resources belong to a first time-frequency resource pool and K2 time-frequency resources belong to a second time-frequency resource pool; as shown in the attached diagram. Figure 21 As shown. In Embodiment 21, the K1 channel information items are respectively for K1 time-frequency resources, and the K2 channel information items are respectively for K2 time-frequency resources. (See Appendix) Figure 21 In this context, the K1 time-frequency resources are represented as time-frequency resources #0, ..., time-frequency resources #(K1-1); and the K2 time-frequency resources are represented as time-frequency resources #0, ..., time-frequency resources #(K2-1).

[1094] In a preferred embodiment, the K1 time-frequency resources are mutually orthogonal to each other, and the K2 time-frequency resources are mutually orthogonal to each other.

[1095] In a preferred embodiment, any one of the K1 time-frequency resources is orthogonal to any one of the K2 time-frequency resources.

[1096] As an example, the first time-frequency resource pool and the second time-frequency resource pool each include a continuous time period in the time domain.

[1097] As an example, the first time-frequency resource pool and the second time-frequency resource pool each include a continuous time period represented as s, ms or μs in the time domain.

[1098] As an example, the first time-frequency resource pool and the second time-frequency resource pool each include a positive integer number of symbols in the time domain.

[1099] As an example, the first time-frequency resource pool and the second time-frequency resource pool each include a positive integer number of time slots in the time domain.

[1100] As an example, the first time-frequency resource pool and the second time-frequency resource pool each include a positive integer number of frames or subframes in the time domain.

[1101] As an example, the first time-frequency resource pool and the second time-frequency resource pool each include a continuous frequency domain resource in the frequency domain.

[1102] As one embodiment, the first time-frequency resource pool and the second time-frequency resource pool each include a continuous frequency domain resource represented as Hz, kHz or MHz in the frequency domain.

[1103] As an example, the first time-frequency resource pool and the second time-frequency resource pool each include a positive integer number of subcarriers in the frequency domain.

[1104] As an example, the first time-frequency resource pool and the second time-frequency resource pool each include a positive integer number of RBs in the frequency domain.

[1105] As an example, the first time-frequency resource pool and the second time-frequency resource pool each include a positive integer number of sub-bands in the frequency domain.

[1106] In a preferred embodiment, the first time-frequency resource pool and the second time-frequency resource pool are orthogonal to each other.

[1107] As one embodiment, the first time-frequency resource pool and the second time-frequency resource pool are orthogonal to each other in the time domain, as shown in the attached figure. Figure 21 As shown in (a).

[1108] As one embodiment, the first time-frequency resource pool and the second time-frequency resource pool are orthogonal to each other in the frequency domain, as shown in the attached figure. Example 22 As shown in (b).

[1109] In a preferred embodiment, the first information block indicates the first time-frequency resource pool and the second time-frequency resource pool.

[1110] As an example, the first information block explicitly indicates the first time-frequency resource pool and the second time-frequency resource pool.

[1111] As an example, the first information block indicates the start and end times of the first time-frequency resource pool, and indicates the start and end times of the second time-frequency resource pool.

[1112] As an example, the first information block indicates the start time and time domain length of the first time-frequency resource pool, and indicates the start time and time domain length of the second time-frequency resource pool.

[1113] As an example, the first information block indicates the lowest and highest frequency points of the first time-frequency resource pool, and indicates the lowest and highest frequency points of the second time-frequency resource pool.

[1114] As an example, the first information block indicates the lowest frequency point and frequency domain length of the first time-frequency resource pool, and indicates the lowest frequency point and frequency domain length of the second time-frequency resource pool.

[1115] As an example, the first information block implicitly indicates the first time-frequency resource pool and the second time-frequency resource pool.

[1116] As an example, the first information block indicates the first time-frequency resource pool and the second time-frequency resource pool by indicating other information.

[1117] As one embodiment, the first information block explicitly indicates the first time-frequency resource pool and implicitly indicates the second time-frequency resource pool.

[1118] As an example, the first information block indicates the start time of the first time-frequency resource pool and indicates the time-domain interval between the second time-frequency resource pool and the first time-frequency resource pool.

[1119] As a sub-implementation of the above embodiments, the first information block indicates the time domain length of the first time-frequency resource pool and the time domain length of the second time-frequency resource pool.

[1120] As an example, the first information block indicates the lowest frequency point of the first time-frequency resource pool and indicates the frequency domain spacing between the second time-frequency resource pool and the first time-frequency resource pool.

[1121] As a sub-implementation of the above embodiments, the first information block indicates the frequency domain length of the first time-frequency resource pool and the frequency domain length of the second time-frequency resource pool.

[1122] As an example, the first information block indicates that a time-frequency resource pool includes at least one of the time-domain length and the frequency-domain length of the time-frequency resource pool.

[1123] As a sub-implementation of the above embodiment, the first information block explicitly indicates the time domain length of the time-frequency resource pool.

[1124] As a sub-implementation of the above embodiments, the first information block implicitly indicates the time domain length of the time-frequency resource pool.

[1125] As a sub-implementation of the above embodiments, the first information block indicates the time domain length of the time-frequency resource pool by indicating the start time or end time of at least one other time-frequency resource pool.

[1126] As a sub-implementation of the above embodiment, the first information block explicitly indicates the frequency domain length of the time-frequency resource pool.

[1127] As a sub-implementation of the above embodiments, the first information block implicitly indicates the frequency domain length of the time-frequency resource pool.

[1128] As a sub-implementation of the above embodiments, the first information block indicates the frequency domain length of the time-frequency resource pool by indicating the lowest or highest frequency point of at least one other time-frequency resource pool.

[1129] Figure 22

[1130] Example 22 illustrates a schematic diagram of at least a first channel information belonging to a first dataset according to an embodiment of this application; as shown in the appendix. Example 23 As shown.

[1131] As an example, the first information block and the at least first channel information both belong to the first dataset.

[1132] As an example, the first information block does not belong to the first dataset.

[1133] As an example, the first dataset is used for training or retraining.

[1134] As an example, the first dataset is used for training or retraining an AI model or an ML model.

[1135] As an example, the first dataset includes a training dataset.

[1136] As an example, the first dataset belongs to a training dataset.

[1137] As an example, the first dataset is a training dataset.

[1138] As an example, the first dataset is used for training or retraining an operation that includes inference.

[1139] As an example, a training dataset that includes inference operations includes the first dataset.

[1140] As an example, the training dataset for the first operation includes the first dataset.

[1141] As an example, the first dataset was used for performance monitoring.

[1142] As an example, the first dataset is used for performance monitoring of AI or ML models.

[1143] As an example, the first dataset was used for performance monitoring of an operation that included inference.

[1144] As an example, the performance testing dataset for the first operation includes the first dataset.

[1145] As an example, the first dataset was used for inference.

[1146] As an example, the first dataset is used for inference in an AI model or an ML model.

[1147] As an example, the first dataset includes an inference dataset.

[1148] As an example, the first dataset belongs to an inference dataset.

[1149] As an example, the first dataset is an inference dataset.

[1150] As an example, the first dataset is used for reasoning in an operation that includes inference.

[1151] As an example, a reasoning dataset that includes reasoning operations includes the first dataset.

[1152] As an example, the AI ​​model or ML model is used for CSI generation or CSI compression.

[1153] As an example, the AI ​​model or ML model is used for CSI prediction or beam management.

[1154] As an example, the AI ​​model or ML model is used for one or more of data reception, localization, scheduling, and semantic-based error correction.

[1155] As an example, the dataset to which the at least first channel information belongs is configured by a higher-level signaling layer.

[1156] As an example, the dataset to which the at least first channel information belongs is configured by RRC signaling.

[1157] As an example, the dataset to which the at least first channel information belongs is indicated to the first node by the serving cell of the first node.

[1158] As an example, the dataset to which the at least first channel information belongs is indicated to the first node by the core network device.

[1159] As an example, the dataset to which the at least first channel information belongs is indicated to the first node by the OTT server.

[1160] As an example, the dataset to which the at least first channel information belongs is indicated to the first node by OAM.

[1161] As an example, the dataset to which the at least first channel information belongs is indicated to the first node by the NAS device.

[1162] As an example, the dataset to which the at least first channel information belongs is reported by the first node.

[1163] As an example, the first information block indicates that the dataset to which the at least first channel information belongs is the first dataset.

[1164] As an example, the first configuration information block indicates that the dataset to which the at least first channel information belongs is the first dataset.

[1165] As one embodiment, the first information block indicates a first identifier, and the first dataset is associated with the first identifier.

[1166] As an example, the first configuration information block indicates a first identifier, and the first dataset is associated with the first identifier.

[1167] As one embodiment, associating the first dataset with the first identifier includes the first dataset being identified by the first identifier.

[1168] As one embodiment, associating the first dataset with the first identifier includes the training dataset to which the first dataset belongs being identified by the first identifier.

[1169] As one embodiment, the association of the first dataset with the first identifier includes the first dataset being used for training or retraining a model, wherein the model is identified by the first identifier.

[1170] As one embodiment, the association of the first dataset with the first identifier includes the first dataset being used for training or retraining a model, wherein the training or retraining is identified by the first identifier.

[1171] As one embodiment, the association of the first dataset with the first identifier includes that the first dataset is used for training or retraining a model, and the inference of the model is identified by the first identifier.

[1172] As one embodiment, the association of the first dataset with the first identifier includes that the first dataset is used for training or retraining a model, and the AI ​​function or AI entity performing the training or retraining is identified by the first identifier.

[1173] As an example, the association of the first dataset with the first identifier includes the fact that the first dataset is used for training or retraining a model, and the AI ​​entity or AI function that performs inference of the model is identified by the first identifier.

[1174] As one embodiment, the association of the first dataset with the first identifier includes that the first dataset is used for training or retraining a model, and the functionality implemented by the model is identified by the first identifier.

[1175] As one embodiment, the association of the first dataset with the first identifier includes the first dataset being used for inference or performance monitoring of a model, wherein the model is identified by the first identifier.

[1176] As one embodiment, associating the first dataset with the first identifier includes that the inference dataset to which the first dataset belongs is identified by the first identifier.

[1177] As an example, the association of the first dataset with the first identifier includes the first dataset being used for inference of a model, the inference of which is identified by the first identifier.

[1178] As an example, the association of the first dataset with the first identifier includes that the first dataset is used for inference or performance monitoring of a model, and the AI ​​function or AI entity performing the inference or performance monitoring is identified by the first identifier.

[1179] As an example, the association of the first dataset with the first identifier includes the first dataset being used for inference or performance monitoring of a model, wherein the functionality implemented by the model is identified by the first identifier.

[1180] As an example, the model refers to an AI model or an ML model.

[1181] As an example, a dataset used for training or retraining a model or an operation includes the training dataset of the model or operation comprising the dataset.

[1182] As an example, a dataset used for inference of a model or an operation includes the dataset used for inference of the model or an operation.

[1183] As an example, a dataset used for performance monitoring of a model or an operation includes the dataset used for performance monitoring of the model or an operation.

[1184] As an example, the first information block indicates that the dataset to which the at least first channel information belongs is the first dataset by indicating the first identifier.

[1185] As an example, the first configuration information block indicates that the dataset to which the at least first channel information belongs is the first dataset by indicating the first identifier.

[1186] Figure 23

[1187] Example 23 illustrates a schematic diagram of at least first channel information transmitted on a first radio bearer according to an embodiment of this application; as shown in the appendix. Example 24 As shown.

[1188] As one example, the first wireless bearer is dedicated to AI or ML.

[1189] As an example, the first wireless bearer is dedicated to an AI model or an ML model.

[1190] As an example, the first radio bearer is an SRB (Signalling Radio Bearer) that is not supported by 3GPP R19 or earlier versions, such as SRB6 or SRB7.

[1191] As an example, the first radio bearer is a type of radio bearer used for transmitting unicast data, other than DRB (Data Radio Bearer) and SRB.

[1192] As a sub-implementation of the above embodiments, the name of the first wireless bearer includes RB, and the name of the first wireless bearer includes I, AI, ML, or LLM.

[1193] As one embodiment, the first radio bearer includes a higher-level entity that is above the PDCP (Packet Data Convergence Protocol) and belongs to the Radio Access Network RAN ​​(i.e., not to the core network).

[1194] As a sub-implementation of the above embodiments, the first radio bearer includes the higher-layer entity, the PDCP entity, and the RLC (Radio Link Control) entity.

[1195] Figure 24

[1196] Example 24 illustrates a schematic diagram according to an embodiment of this application, in which at least first channel information and a first operation are associated with a first identifier; as shown in the attached diagram. Example 25 As shown.

[1197] As an example, the first identifier is a non-negative integer.

[1198] As an example, the first identifier is a string.

[1199] As an example, the first identifier indicates an association between two or more RS resources.

[1200] As a sub-implementation of the above embodiments, the association includes having similar characteristics.

[1201] As a sub-implementation of the above embodiments, the association includes having the same or similar large-scale characteristics.

[1202] As a sub-implementation of the above embodiments, the association includes quasi-co-located.

[1203] As a sub-implementation of the above embodiments, the association includes quasi-co-addressing and the corresponding quasi-co-addressing type includes TypeD.

[1204] As a sub-example of the above embodiments, the association includes training datasets used to generate the same model.

[1205] As a sub-example of the above embodiments, the association includes inference datasets used to generate the same model.

[1206] As a sub-example of the above embodiments, the association includes training datasets or inference datasets used to generate the same model.

[1207] As an example, the large-scale characteristics include one or more of delay spread, Doppler spread, Doppler shift, average delay, or spatial reception parameters.

[1208] As one embodiment, the large-scale characteristics include a spatial domain transmit filter and a spatial domain receive filter.

[1209] As an example, the first identifier indicates the association between a dataset and an operation that includes inference.

[1210] As a sub-example of the above embodiments, the association includes the fact that the dataset belongs to the training dataset of the model that includes inference operations.

[1211] As a sub-example of the above embodiments, the association includes the fact that the dataset belongs to the inference dataset that includes inference operations.

[1212] As an example, the first identifier indicates the association between an RS resource or a set of RS resources and an operation that includes inference.

[1213] As a sub-implementation of the above embodiments, the association includes the use of the RS resource or RS resource set to generate a training dataset for the model including inference operations.

[1214] As a sub-example of the above embodiments, the association includes the use of the RS resource or RS resource set to generate the inference dataset that includes inference operations.

[1215] As a sub-example of the above embodiments, the association includes the output of the operation including inference including the identifier of one or more RS resources in the RS resource or RS resource set.

[1216] As one embodiment, the at least first channel information associated with the first identifier includes the at least first channel information belonging to a first dataset, and the first dataset being associated with the first identifier.

[1217] As one embodiment, the at least first channel information associated with the first identifier includes the first information block indicating the first identifier.

[1218] As one embodiment, the at least first channel information associated with the first identifier includes the first configuration information block indicating the first identifier.

[1219] As one embodiment, the at least first channel information associated with the first identifier includes the at least first channel information belonging to a training dataset of an AI model or ML model associated with the first identifier.

[1220] As one embodiment, the at least first channel information associated with the first identifier includes the at least first channel information belonging to an inference dataset of an AI model or ML model associated with the first identifier.

[1221] As one embodiment, the at least first channel information associated with the first identifier includes the at least first channel information depending on the output of inference from an AI model or ML model associated with the first identifier.

[1222] As one embodiment, the at least first channel information associated with the first identifier includes the at least first RS resource associated with the first identifier.

[1223] As one embodiment, the at least first channel information associated with the first identifier includes one or more RS resources for obtaining channel measurements for calculating the at least first channel information associated with the first identifier.

[1224] As an example, an RS resource associated with the first identifier includes an RS resource configured with the first identifier.

[1225] As one embodiment, associating an RS resource with the first identifier includes the configuration IE of the RS resource indicating the first identifier.

[1226] As an example, the configuration IE for an RS resource includes a CSI-ResourceConfig IE, wherein the RS resource is a CSI-RS resource or an SS / PBCH block resource.

[1227] As an example, the configuration IE of an RS resource includes a CSI-SSB-ResourceSet IE, wherein the RS resource is an SS / PBCH block resource.

[1228] As an example, the configuration IE of an RS resource includes at least one of NZP-CSI-RS-Resource IE and NZP-CSI-RS-ResourceSet IE, wherein the RS resource is a CSI-RS resource.

[1229] As an example, an RS resource associated with the first identifier includes the fact that the RS resource and another RS ​​resource associated with the first identifier are quasi-co-located.

[1230] As an example, an RS resource associated with the first identifier includes an RS resource and another RS ​​resource associated with the first identifier having the same or similar characteristics.

[1231] As an example, an RS resource associated with the first identifier includes an RS resource and another RS ​​resource associated with the first identifier having the same or similar large-scale characteristics.

[1232] As an example, an RS resource associated with the first identifier includes the fact that the RS resource and another RS ​​resource associated with the first identifier are used to generate the training dataset of the same AI model or ML model.

[1233] As an example, an RS resource associated with the first identifier includes the fact that the RS resource and another RS ​​resource associated with the first identifier are used to generate an inference dataset for the same AI model or ML model.

[1234] As an example, an RS resource associated with the first identifier includes the fact that the RS resource and another RS ​​resource associated with the first identifier are used to generate the training dataset or inference dataset of the same AI model or ML model.

[1235] As one embodiment, an RS resource associated with the first identifier includes the RS resource set to which the RS resource belongs being associated with the first identifier.

[1236] As one embodiment, an RS resource set associated with the first identifier includes an RS resource set configured with the first identifier.

[1237] As one embodiment, an RS resource set associated with the first identifier includes a configuration IE of the RS resource set indicating the first identifier.

[1238] As an example, the configuration IE of an RS resource set includes a CSI-ResourceConfig IE, wherein the RS resource set is a CSI-RS resource set or a CSI-SSB (Synchronization Signal Block) resource set.

[1239] As an example, the configuration IE of an RS resource set includes a CSI-SSB-ResourceSet IE, wherein the RS resource is a CSI-SSB resource set.

[1240] As an example, the configuration IE of an RS resource set includes an NZP-CSI-RS-ResourceSet IE, wherein the RS resource set is a CSI-RS resource set.

[1241] As an example, an RS resource set associated with the first identifier includes any RS resource in the RS resource set and any RS resource in another RS ​​resource set associated with the first identifier being quasi-co-located.

[1242] As an example, an RS resource set associated with the first identifier includes any RS resource in the RS resource set having the same or similar characteristics as any RS resource in another RS ​​resource set associated with the first identifier.

[1243] As an example, an RS resource set associated with the first identifier includes any RS resource in the RS resource set and any RS resource in another RS ​​resource set associated with the first identifier having the same or similar large-scale characteristics.

[1244] As an example, an RS resource set associated with the first identifier includes the fact that the RS resource set and another RS ​​resource set associated with the first identifier are used to generate the training dataset for the same AI model or ML model.

[1245] As an example, an RS resource set associated with the first identifier includes the fact that the RS resource set and another RS ​​resource set associated with the first identifier are used to generate an inference dataset for the same AI model or ML model.

[1246] As an example, an RS resource set associated with the first identifier includes the fact that the RS resource set and another RS ​​resource set associated with the first identifier are used to generate training datasets or inference datasets for the same AI model or ML model.

[1247] As an example, an RS resource set associated with the first identifier includes an RS resource set used to generate a training dataset or inference dataset for an AI model or ML model, wherein the inference output of the AI ​​model or ML model includes the identifiers of one or more RS resources in another RS ​​resource set associated with the first identifier.

[1248] In a preferred embodiment, the first operation is based on training.

[1249] As an example, the first operation is obtained through training.

[1250] In a preferred embodiment, the models for the first operation are all obtained through training.

[1251] As an example, the model of the first operation is an AI model or an ML model.

[1252] As an example, the training for the first operation is performed by the first node.

[1253] As an example, the training for the first operation is performed by the serving cell of the first node.

[1254] As an example, the training for the first operation is performed by the core network.

[1255] As an example, the training of the first operation is performed by the MDA function (Management Data Analytics Function).

[1256] As an example, the training of the first operation is performed by NWDAF (NetworkDataAnalyticsFunction).

[1257] As an example, the training of the first operation is performed by the MDAS (Management Data Analytics Service) producer.

[1258] As an example, the training of the first operation is performed by the MnS (Management Service) producer.

[1259] As an example, the first operation is inference.

[1260] As an example, the reasoning refers to AI (Artificial Intelligence) reasoning.

[1261] As an example, the reasoning refers to ML (Machine Learning) reasoning.

[1262] As an example, the reasoning refers to AI reasoning or ML reasoning.

[1263] As an example, the first operation includes inference of an AI model or an ML model.

[1264] As one example, the first operation includes an AI entity.

[1265] As an example, the first operation includes a portion of an AI entity used for inference.

[1266] As an example, the first operation is performed by an AI entity or an AI function.

[1267] As an example, the first operation is performed by an AI entity or AI function deployed on the first node.

[1268] As one example, the AI ​​function includes AI inference functionality.

[1269] As one example, the AI ​​functionality includes AI training functionality.

[1270] As one example, the AI ​​functionality includes AI management functionality.

[1271] As one example, the AI ​​includes ML (Machine Learning).

[1272] As an example, the AI ​​includes AI and ML.

[1273] As one example, the AI ​​includes AI or ML.

[1274] As an example, the first operation is based on artificial intelligence or machine learning.

[1275] As an example, the first operation is based on a neural network.

[1276] As an example, the first operation is used to generate CSI (Channel State Information).

[1277] As an example, the first operation is used for beam management or beam prediction.

[1278] As an example, the first operation is used for CSI compression.

[1279] As an example, the first operation is used for positioning.

[1280] As an example, the output of the first operation includes CSI or compressed CSI.

[1281] As an example, the output of the first operation includes predicted beam information.

[1282] As an example, the beam information includes at least one of CRI, SSBRI, and RSRP.

[1283] As an example, the first operation requires deployment.

[1284] As an example, the first operation is obtained by loading.

[1285] As an example, the first operation does not require deployment.

[1286] As an example, the first dataset was used for training the first operation.

[1287] As an example, the training dataset for the first operation includes the first dataset.

[1288] As an example, the first dataset was used for performance monitoring of the first operation.

[1289] As an example, the performance monitoring dataset for the first operation includes the first dataset.

[1290] As an example, the first dataset was used for inference of the first operation.

[1291] As an example, the inference dataset for the first operation includes the first dataset.

[1292] As one embodiment, the first operation associated with the first identifier includes the first operation being identified by the first identifier.

[1293] As one embodiment, the first operation associated with the first identifier includes the model of the first operation being identified by the first identifier.

[1294] The benefits of the above approach include simplifying the design and unifying the understanding of different AI operations or AI models across different nodes.

[1295] As one example, the first operation associated with the first identifier includes the AI ​​entity or AI function to which the first operation belongs being identified by the first identifier.

[1296] As one embodiment, the first operation associated with the first identifier includes the AI ​​function or AI entity performing the first operation being identified by the first identifier.

[1297] The benefits of the above approach include simplifying the design and unifying the understanding of different AI entities or AI functions across different nodes.

[1298] As one embodiment, the first operation associated with the first identifier includes the training of the first operation being identified by the first identifier.

[1299] As one embodiment, the first operation associated with the first identifier includes the training dataset of the first operation being identified by the first identifier.

[1300] The benefits of the above approach include identifying the inference generated by an AI training or AI training dataset by identifying that AI training or AI training dataset, establishing consensus among different AI functions, and further simplifying the design.

[1301] As one embodiment, the first operation associated with the first identifier includes the inference dataset of the first operation being identified by the first identifier.

[1302] The benefits of the above approach include identifying the reasoning by identifying a reasoning dataset, establishing consensus across different AI functions and nodes, and further simplifying the design.

[1303] As one embodiment, the first operation associated with the first identifier includes the output of the first operation including the identifiers of one or more RS resources, each of the one or more RS resources being associated with the first identifier.

[1304] As a sub-implementation of the above embodiments, the RS resource set to which the one or more RS resources belong is associated with the first identifier.

[1305] As an example, both the at least first channel information and the first operation are associated with the first identifier, which indicates that the at least first channel information belongs to the training dataset of the model of the first operation.

[1306] As an example, both the at least first channel information and the first operation are associated with the first identifier, which indicates that the at least first channel information belongs to the inference dataset of the model of the first operation.

[1307] As an example, both the at least first channel information and the first operation are associated with the first identifier, indicating that one or more RS resources used to obtain channel measurements for calculating the at least first channel information are used as a training dataset or inference dataset to generate a model of the first operation.

[1308] Figure 25

[1309] Example 25 illustrates a schematic diagram of the deployment of a first operation according to an embodiment of this application, as shown in the attached diagram. Figure 25 As shown; in embodiment 25, the first node requests the first producer to load the first operation and obtains the first operation from the first producer.

[1310] As an example, the first operation needs to be deployed.

[1311] As one embodiment, the deployment includes obtaining the first operation.

[1312] As one example, the deployment includes obtaining an AI entity.

[1313] As one example, the deployment includes obtaining an AI entity that performs the first operation.

[1314] As one example, the deployment includes obtaining an AI entity that includes AI functions to perform the first operation.

[1315] As one example, the deployment includes acquiring an AI function.

[1316] As one example, the deployment includes acquiring AI capabilities to perform the first operation.

[1317] As one example, the deployment includes loading the first operation.

[1318] As one example, the deployment includes submitting a request to load the first operation.

[1319] As an example, AppendixFigure 25 The request in the request is a request from the first node to load the first operation.

[1320] As an example, Appendix Figure 25 The response in the code is a response to the request made by the first node to load the first operation.

[1321] As an example, the first node is attached Figure 25 The response obtained in the first operation is achieved.

[1322] As an example, the first node is attached Figure 25 The response obtained in the first operation model is obtained.

[1323] As an example, the first producer via attached Figure 25 The response in the first node provides the first operation.

[1324] As an example, the first producer via attached Example 26 The response in the first node provides the model of the first operation.

[1325] As an example, the deployment is accomplished by an AI function.

[1326] As an example, the deployment is accomplished by AI functionality deployed on the first node.

[1327] As an example, the deployment is accomplished by an AI deployment function.

[1328] As an example, the deployment is accomplished by the AI ​​deployment function deployed on the first node.

[1329] As an example, the deployment is accomplished by AI inference functionality.

[1330] As an example, the deployment is accomplished by an AI inference function deployed on the first node.

[1331] As an example, the deployment is performed by an AI entity.

[1332] As an example, the deployment is performed by an AI entity deployed on the first node.

[1333] As an example, the deployment is performed by an AI entity with a deployment function.

[1334] As an example, the deployment is performed by an AI entity with deployment capabilities deployed on the first node.

[1335] As an example, the deployment is performed by an AI entity with an inference function.

[1336] As an example, the deployment is performed by an AI entity with reasoning capabilities deployed on the first node.

[1337] As one embodiment, the deployment includes obtaining the first operation from a first producer.

[1338] As one embodiment, the deployment includes requesting a first producer to load the first operation.

[1339] As one embodiment, the deployment includes loading the first operation from the first producer.

[1340] As an example, the first producer generates and provides an AI model.

[1341] As an example, the first producer generates and provides AI entities.

[1342] As an example, the first producer generates and provides AI functionality.

[1343] As an example, the first producer is the producer of the first operation.

[1344] As an example, the first producer is the producer of the training of the first operation.

[1345] As one example, the first producer includes an AI entity producer.

[1346] As one example, the first producer includes an AI function producer.

[1347] As one example, the first producer includes an AI deployment producer.

[1348] As one example, the first producer includes an AI training producer.

[1349] As one example, the first producer includes an AI inference producer.

[1350] As an example, the first producer includes the producer of the AI ​​model training.

[1351] As one example, the first producer includes an MnS (Management Service) producer.

[1352] As an example, the first producer is the serving cell of the first node.

[1353] As an example, the first producer is the maintenance base station of the serving cell of the first node.

[1354] As an example, the first producer is a core network device.

[1355] As an example, the first producer is a NAS device.

[1356] As an example, the first producer is an OTT server.

[1357] As an example, the training of the first operation is performed by the first producer.

[1358] Figure 26

[1359] Example 26 illustrates a schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of this application; as shown in the appendix. Figure 26 As shown in Example 26, the second processor sends a second dataset to the third processor and a third dataset to the fourth processor; the third processor generates a target first-class parameter set based on the second dataset, and sends the generated target first-class parameter set to the fourth processor; the fourth processor processes the third dataset using the target first-class parameter set to obtain a first-class output, and sends the first-class output to the fifth processor. (See Appendix...) Example 27 In this configuration, the first type of feedback and the second type of feedback are optional; the third processor includes ML training functionality; and the fourth processor includes ML inference functionality.

[1360] As one embodiment, the fifth processor includes ML testing functionality.

[1361] As one embodiment, the fifth processor includes performance monitoring / evaluation of the ML model.

[1362] As one embodiment, the fifth processor includes the inverse operation of the fourth processor.

[1363] As an example, the fourth processor sends a first type of feedback to the third processor. The first type of feedback is used to trigger the recalculation or update of the target first type of parameter set, that is, to trigger ML initial training or ML retraining.

[1364] As one embodiment, the fifth processor sends a second type of feedback to the second processor, the second type of feedback being used to generate the second dataset or the third dataset, or the second type of feedback being used to trigger the sending of the second dataset or the third dataset.

[1365] As one embodiment, the second processor generates the second dataset and the third dataset based on the measurement of the reference signal.

[1366] As one embodiment, the fourth processor is located at the first node.

[1367] As one embodiment, the fifth processor is located at either the first node or the second node.

[1368] As an example, the fourth processor performs the first operation.

[1369] As an example, the fifth processor performs the inverse operation of the first operation.

[1370] As an example, the third dataset includes measurements for RS.

[1371] As an example, the third dataset includes the reception of PDSCH.

[1372] As an example, the second dataset includes training data.

[1373] As an example, the second dataset includes the first dataset.

[1374] As an example, the third processor is used to train an ML model, and the trained model is described by the target first class of parameter sets.

[1375] As one embodiment, the third processor is located at the second node.

[1376] The above embodiments support joint training and optimize system performance.

[1377] As one embodiment, the third processor is located in the core network.

[1378] The above embodiments support network-wide joint training, further optimizing system performance.

[1379] As an example, the third dataset includes inference data.

[1380] As an example, the fourth processor constructs a model based on the target first type of parameter group, and then inputs the third dataset into the constructed model to obtain the first type of output.

[1381] As an example, the fourth processor compares the real data with the first type of output, and the resulting error is used to generate the first type of feedback.

[1382] As an example, the fourth processor generates the first type of feedback through performance monitoring.

[1383] As an example, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model fails to meet the requirements, the third processing opportunity recalculates the target first type of parameter set.

[1384] As an example, the fifth processor compares the real data with the first type of output, and the resulting error is used to generate the second type of feedback.

[1385] As an example, the fifth processor generates the second type of feedback through performance monitoring.

[1386] As an example, the second type of feedback is used to reflect the performance of the trained model; when the performance of the trained model fails to meet the requirements, the second processor sends the second dataset to trigger or assist the third processor in recalculating the target first type of parameter set.

[1387] As an example, when the error is too large or the update has not been performed for too long, the performance of the trained model is considered to be unsatisfactory.

[1388] As an example, the target first type of parameter group includes one or more of the following: convolution kernel size, number of convolution layers, convolution stride, pooling kernel size, pooling kernel stride, pooling function, activation function, or number of feature maps.

[1389] As an example, the target first type of parameter group includes one or more of the following: convolution kernel, pooling kernel, pooling function, activation function, parameters of pooling function, or parameters of activation function.

[1390] As one example, the ML includes AI.

[1391] As an example, the ML includes ML and AI.

[1392] Figure 27

[1393] Example 27 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of this application; as attached. Figure 27 As shown. (Attached) Figure 27 This includes a second operation, a third operation, a fourth operation, a fifth operation, and a sixth operation. In Example 27, the second and third operations belong to the first stage, the fourth operation belongs to the second stage, the fifth operation belongs to the third stage, and the sixth operation belongs to the fourth stage. (See Appendix...) Example 28 In the diagram, the lines with arrows indicate the sequence of processes.

[1394] As one embodiment, the second operation includes ML training, the third operation includes ML testing, the fourth operation includes ML emulation, the fifth operation includes ML entity loading, and the sixth operation includes AI inference.

[1395] As one embodiment, the first stage includes a training phase, the second stage includes an emulation phase, the third stage includes a deployment phase, and the fourth stage includes an emulation phase.

[1396] As an example, the first stage includes ML model training.

[1397] As an example, the first stage includes ML model training and ML testing.

[1398] As an example, the ML model training includes initial training and re-training of one or a group of ML models.

[1399] As an example, the training of the ML model depends on training data.

[1400] As an example, the ML model training includes ML entity validation.

[1401] As an example, the ML entity verification is used to evaluate the performance of the ML entity.

[1402] As an example, the ML entity verification depends on verification data.

[1403] As an example, if the results of ML entity verification do not meet expectations, the ML model will be retrained.

[1404] As an example, the ML testing includes testing the validated ML entities to estimate the performance of the trained ML model.

[1405] As an example, if the ML test results meet expectations, the ML entity proceeds to the next stage; otherwise, the ML model will be retrained.

[1406] As an example, the ML test relies on test data.

[1407] As one embodiment, the second stage includes ML simulation, which performs inference of ML entities in a simulation environment.

[1408] As an example, the ML simulation estimates the performance of ML entity reasoning in a simulation environment before using ML entities.

[1409] As one embodiment, the second stage is optional.

[1410] As an example, the third stage includes ML entity loading, which is to obtain trained ML entities to obtain the desired AI inference capabilities.

[1411] As an example, the third stage is optional.

[1412] As an example, the third stage is no longer needed when the training and inference functions are co-located.

[1413] As an example, the fourth stage includes AI inference.

[1414] As one example, the ML includes AI.

[1415] As one example, the AI ​​includes ML.

[1416] Figure 28

[1417] Example 28 illustrates a schematic diagram of AI function deployment according to one embodiment of this application; as attached. Example 29 As shown.

[1418] In Example 28, the AI ​​training function of the RAN (RadioAccess Network) domain is located in the 3GPP RAN domain-specific management function, while the AI ​​inference function is located in the UE.

[1419] In Example 28, RAN domain-specific management functions provide AI training function management capabilities and AI inference function management capabilities.

[1420] Figure 29

[1421] Example 29 illustrates a schematic diagram of AI function deployment according to one embodiment of this application; as attached. Figure 29 As shown.

[1422] In Example 29, the AI ​​training function is a RAN domain-specific management function, while the AI ​​inference function is located locally on the UE.

[1423] In Example 29, the management capability of the AI ​​training function is provided by the RAN domain-specific management function, while the management capability of the AI ​​inference function is provided locally by the UE.

[1424] In the appendix Example 30 In this context, MnF refers to Management Function.

[1425] Figure 30

[1426] Example 30 illustrates a structural block diagram of a processing apparatus for a first node according to an embodiment of this application; as shown in the appendix. Figure 30 As shown. In the appendix Example 31 In the first node, the processing device 3000 includes a receiver 3001 and a first transmitter 3002.

[1427] In embodiment 30, the first receiver 3001 measures on at least the first RS resource, and the first transmitter 3002 transmits the first information block and at least the first channel information.

[1428] In embodiment 30, the at least first channel information depends on measurements on the at least first RS resource; a first parameter set is used to generate the first channel information, and the first information block indicates the first parameter set.

[1429] In a preferred embodiment, the first channel information includes PMI.

[1430] In a preferred embodiment, the first channel information is used to determine at least one precoding matrix.

[1431] In a preferred embodiment, the first channel information includes a codebook-based PMI.

[1432] As an example, the first receiver 3001 receives a first configuration information block, the first configuration information block indicating at least one of the configuration information of the at least first RS resource or the at least first channel information.

[1433] As an example, at least one of the first receiver 3001 and the first transmitter 3002 deploys the first operation.

[1434] As an example, at least one of the first receiver 3001 and the first transmitter 3002 performs the first operation.

[1435] As one embodiment, the first channel information is for a first time-frequency resource, and the first parameter set depends on the first time-frequency resource.

[1436] As one embodiment, the first channel information is for a first time-frequency resource, and the first information block indicates the first time-frequency resource.

[1437] As an example, the at least first channel information includes K1 channel information, where K1 is a positive integer greater than 1, and the first channel information is one of the K1 channel information; the first parameter set is used to generate the K1 channel information, the K1 channel information are respectively for K1 time-frequency resources, the K1 time-frequency resources all belong to the first time-frequency resource pool, and the first information block indicates the first time-frequency resource pool.

[1438] As a sub-implementation of the above embodiments, the first parameter set is used to generate any channel information in the at least first channel information whose time-frequency resource is located within the first time-frequency resource pool.

[1439] As one embodiment, the at least first channel information includes second channel information, the first channel information is for a first time-frequency resource, the second channel information is for a second time-frequency resource, a second parameter set is used to generate the second channel information, the first parameter set is different from the second parameter set, and the first information block indicates the second parameter set.

[1440] As one embodiment, the at least first channel information includes K1 channel information and K2 channel information, where K1 and K2 are positive integers greater than 1, the first channel information is one of the K1 channel information, and the second channel information is one of the K2 channel information; the first parameter set is used to generate the K1 channel information, and the second parameter set is used to generate the K2 channel information.

[1441] As an example, the K1 channel information points are respectively for K1 time-frequency resources, the K2 channel information points are respectively for K2 time-frequency resources, the K1 time-frequency resources all belong to the first time-frequency resource pool, and the K2 time-frequency resources all belong to the second time-frequency resource pool. The length of the first time-frequency resource pool is different from the length of the second time-frequency resource pool.

[1442] As an example, the at least first channel information belongs to the first dataset.

[1443] As one embodiment, the at least first channel information is transmitted on a first radio bearer, which is a new radio bearer other than the radio bearers supported by 3GPP R19.

[1444] As one embodiment, the at least first channel information is associated with a first identifier, the first operation is associated with the first identifier, and the first operation includes inference.

[1445] As one example, the first node is a terminal.

[1446] As one example, the first node is a user equipment.

[1447] As an example, the first node is a relay node device.

[1448] As an example, the first receiver 3001 includes at least one of the following in embodiment 4: {antenna 452, receiver 454, receiver processor 456, multi-antenna receiver processor 458, controller / processor 459, memory 460, data source 467}.

[1449] As one embodiment, the first transmitter 3002 includes at least one of the following in embodiment 4: {antenna 452, transmitter 454, transmission processor 468, multi-antenna transmission processor 457, controller / processor 459, memory 460, data source 467}.

[1450] Figure 31

[1451] Example 31 illustrates a structural block diagram of a processing apparatus for a second node according to an embodiment of this application; as shown in the appendix. Figure 31As shown. In the appendix ​ In the second node, the processing device 3100 includes a first processor 3101.

[1452] In embodiment 31, the first processor 3101 receives a first information block and at least first channel information.

[1453] In embodiment 31, the at least first channel information depends on measurements on at least a first RS resource; a first parameter set is used to generate the first channel information, and the first information block indicates the first parameter set.

[1454] In a preferred embodiment, the first channel information includes PMI.

[1455] In a preferred embodiment, the first channel information is used to determine at least one precoding matrix.

[1456] In a preferred embodiment, the first channel information includes a codebook-based PMI.

[1457] As one embodiment, the first processor 3101 transmits on the at least first RS resource.

[1458] As an example, the first processor 3101 sends a first configuration information block, the first configuration information block indicating at least one of the configuration information of the at least first RS resource or the at least first channel information.

[1459] As one embodiment, the first channel information is for a first time-frequency resource, and the first parameter set depends on the first time-frequency resource.

[1460] As one embodiment, the first channel information is for a first time-frequency resource, and the first information block indicates the first time-frequency resource.

[1461] As an example, the at least first channel information includes K1 channel information, where K1 is a positive integer greater than 1, and the first channel information is one of the K1 channel information; the first parameter set is used to generate the K1 channel information, the K1 channel information are respectively for K1 time-frequency resources, the K1 time-frequency resources all belong to the first time-frequency resource pool, and the first information block indicates the first time-frequency resource pool.

[1462] As one embodiment, the at least first channel information includes second channel information, the first channel information is for a first time-frequency resource, the second channel information is for a second time-frequency resource, a second parameter set is used to generate the second channel information, the first parameter set is different from the second parameter set, and the first information block indicates the second parameter set.

[1463] As one embodiment, the at least first channel information includes K1 channel information and K2 channel information, where K1 and K2 are positive integers greater than 1, the first channel information is one of the K1 channel information, and the second channel information is one of the K2 channel information; the first parameter set is used to generate the K1 channel information, and the second parameter set is used to generate the K2 channel information.

[1464] As an example, the K1 channel information points are respectively for K1 time-frequency resources, the K2 channel information points are respectively for K2 time-frequency resources, the K1 time-frequency resources all belong to the first time-frequency resource pool, and the K2 time-frequency resources all belong to the second time-frequency resource pool. The length of the first time-frequency resource pool is different from the length of the second time-frequency resource pool.

[1465] As an example, the at least first channel information belongs to the first dataset.

[1466] As one embodiment, the at least first channel information is transmitted on a first radio bearer, which is a new radio bearer other than the radio bearers supported by 3GPP R19.

[1467] As one embodiment, the at least first channel information is associated with a first identifier, the first operation is associated with the first identifier, and the first operation includes inference.

[1468] As one embodiment, the second node includes a base station.

[1469] As one embodiment, the second node includes a base station device.

[1470] As one embodiment, the second node includes a relay node device.

[1471] As one embodiment, the second node includes the sustaining base station of the serving cell of the first node.

[1472] As one embodiment, the second node includes an OTT (Over-The-Top) server.

[1473] As an example, the second node provides OAM (Operation Administration and Maintenance).

[1474] As one embodiment, the second node includes a NAS (Network Access Server).

[1475] As one embodiment, the second node includes a NAS device.

[1476] As one example, the second node provides network access services.

[1477] As one embodiment, the second node includes core network equipment.

[1478] As one embodiment, the second node includes base station equipment and core network equipment.

[1479] As one embodiment, the second node includes a base station device and a NAS device.

[1480] As one embodiment, the second node includes an MDA function producer.

[1481] As one embodiment, the second node includes an NWDAF producer.

[1482] As one example, the second node includes an MDAS producer.

[1483] As one embodiment, the second node includes an MnS producer.

[1484] As an example, the first processor 3101 includes at least one of the following in embodiment 4: {antenna 420, receiver / transmitter 418, receiving processor 470, transmitting processor 416, multi-antenna receiving processor 472, multi-antenna transmitting processor 471, controller / processor 475, memory 476}.

[1485] Those skilled in the art will understand that all or part of the steps in the above methods can be implemented by a program instructing related hardware, and the program can be stored in a computer-readable storage medium, such as a read-only memory, hard disk, or optical disk. Optionally, all or part of the steps in the above embodiments can also be implemented using one or more integrated circuits. Accordingly, each module unit in the above embodiments can be implemented in hardware or in the form of software functional modules. This application is not limited to any specific combination of software and hardware. The user equipment, terminal, and UE in this application include, but are not limited to, drones, communication modules on drones, remote-controlled aircraft, aircraft, small aircraft, mobile phones, tablets, laptops, vehicle-mounted communication equipment, vehicles, RSUs, wireless sensors, internet access cards, IoT terminals, RFID terminals, NB-IoT terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, internet access cards, vehicle-mounted communication equipment, low-cost mobile phones, low-cost tablets, and other wireless communication devices. The base stations or system equipment in this application include, but are not limited to, macrocell base stations, microcell base stations, small cell base stations, home base stations, relay base stations, eNBs, gNBs, TRPs (Transmitter Receiver Points), GNSS, relay satellites, satellite base stations, airborne base stations, RSUs (Road Side Units), drones, and testing equipment, such as transceivers or signaling testers that simulate some functions of a base station, and other wireless communication equipment.

[1486] Those skilled in the art will understand that the present invention can be practiced in other specified forms without departing from its core or essential characteristics. Therefore, the embodiments disclosed herein should in any way be considered descriptive rather than restrictive. The scope of the invention is defined by the appended claims rather than the foregoing description, and all modifications within their equivalent meaning and scope are considered to be included therein.

Claims

1. A first node used for wireless communication, characterized in that, include: The first receiver measures on at least the first RS resource; The first transmitter transmits a first information block and at least first channel information; The at least first channel information depends on measurements on the at least first RS resource; a first parameter set is used to generate the first channel information, and the first information block indicates the first parameter set.

2. The first node according to claim 1, characterized in that, The first channel information is for the first time-frequency resource, and the first parameter set depends on the first time-frequency resource.

3. The first node according to claim 1 or 2, characterized in that, The first channel information is for the first time-frequency resource, and the first information block indicates the first time-frequency resource.

4. The first node according to any one of claims 1 to 3, characterized in that, The at least first channel information includes K1 channel information, where K1 is a positive integer greater than 1, and the first channel information is one of the K1 channel information; the first parameter set is used to generate the K1 channel information, the K1 channel information are respectively for K1 time-frequency resources, the K1 time-frequency resources all belong to the first time-frequency resource pool, and the first information block indicates the first time-frequency resource pool.

5. The first node according to any one of claims 1 to 4, characterized in that, The at least first channel information includes second channel information, the first channel information is for a first time-frequency resource, the second channel information is for a second time-frequency resource, a second parameter set is used to generate the second channel information, the first parameter set is different from the second parameter set, and the first information block indicates the second parameter set.

6. The first node according to claim 5, characterized in that, The at least first channel information includes K1 channel information and K2 channel information, where K1 and K2 are positive integers greater than 1. The first channel information is one of the K1 channel information, and the second channel information is one of the K2 channel information. The first parameter set is used to generate the K1 channel information, and the second parameter set is used to generate the K2 channel information.

7. The first node according to claim 6, characterized in that, The K1 channel information points are for K1 time-frequency resources, and the K2 channel information points are for K2 time-frequency resources. The K1 time-frequency resources all belong to the first time-frequency resource pool, and the K2 time-frequency resources all belong to the second time-frequency resource pool. The length of the first time-frequency resource pool is different from the length of the second time-frequency resource pool.

8. A method used in a second node of wireless communication, characterized in that, include: A first processor receives a first information block and at least first channel information; Wherein, the at least first channel information depends on measurements on at least the first RS resource; The first parameter set is used to generate the first channel information, and the first information block indicates the first parameter set.

9. A method used in a first node of wireless communication, characterized in that, include: Measured on at least the first RS resource; Send the first information block and at least the first channel information; The at least first channel information depends on measurements on the at least first RS resource; a first parameter set is used to generate the first channel information, and the first information block indicates the first parameter set.

10. A method used in a second node of wireless communication, characterized in that, include: Receive the first information block and at least the first channel information; Wherein, the at least first channel information depends on measurements on at least the first RS resource; The first parameter set is used to generate the first channel information, and the first information block indicates the first parameter set.

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