Method and apparatus used for wireless communication

Abstract

Disclosed in the present application are a method and apparatus used for wireless communication. The method comprises: a first node performing measurement on at least a first RS resource; and transmitting a first information block and at least first channel information, wherein the at least first channel information relies on the measurement on the at least first RS resource, and a first parameter set is used for generating the first channel information, and the first information block indicates the first parameter set. By means of the method, the reporting overheads are saved on while the reporting performance is improved, thereby improving the system performance.

Description

Method and apparatus for wireless communication TECHNICAL FIELD

[0001] The present application relates to transmission methods and apparatuses in a wireless communication system, and in particular, to schemes and apparatuses related to channel information in a wireless communication system. BACKGROUND

[0002] In conventional wireless communications, 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 through measurement on downlink signals and / or channels. The UE reports these information to a network device, and the network device selects appropriate transmission parameters for the UE according to the UE's report, such as parameters for camping cell, MCS (Modulation and Coding Scheme), TPMI (Transmitted Precoding Matrix Indicator), TCI (Transmission Configuration Indication), etc. In addition, UE reporting can be used to optimize network parameters, such as better cell coverage, switching base stations according to UE location, 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 communications 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 according to the perception and learning of the surrounding environment, but also intelligently achieve self-optimization and self-maintenance of the network. Compared with the traditional 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 traditional technology. According to 3GPP(3rd Generation Partner Project) standard TS(Technical Specification)38.300, AI / ML models and algorithms are beyond the scope of 3GPP. SUMMARY

[0004] Applicant has found, through research, that when AI / ML function is introduced, the existing measurement, calculation and reporting mechanism can not be able to adapt to the needs of AI / ML. For example, AI / ML model is based on training, and 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 solutions and traditional measurement, calculation and reporting solutions) 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 a set of parameters for generating the reported channel information according to actual channel environment, for example but not limited to characteristics in time domain, frequency domain or spatial domain, improving the accuracy of the channel information while saving system overhead.

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

[0013] As an embodiment, the benefits of the above method include flexible design, adapting to different terminals.

[0014] As an embodiment, the benefits of the above method include good forward compatibility.

[0015] According to an aspect of the present application, the first channel information is for a first time-frequency resource, and the first set of parameters depends on the first time-frequency resource.

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

[0017] According to an aspect of the present application, the first channel information is for a first time-frequency resource, and the first information block indicates the first time-frequency resource.

[0018] As an embodiment, the benefits of the above method include determining the time-frequency resource to which the first channel information is directed according to actual channel characteristics, further optimizing the accuracy and efficiency of the reporting.

[0019] According to an aspect of the present application, the at least first channel information includes K1 channel information, K1 being a positive integer greater than 1, and the first channel information is one of the K1 channel information; the first set of parameters is used to generate the K1 channel information, the K1 channel information is respectively for K1 time-frequency resources, the K1 time-frequency resources all belong to a first time-frequency resource pool, and the first information block indicates the first time-frequency resource pool.

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

[0021] According to an aspect of the present application, the at least first channel information comprises 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 set of parameters is used to generate the second channel information, the first set of parameters is different from the second set of parameters, and the first information block indicates the second set of parameters.

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

[0023] According to an aspect of the present application, the at least first channel information comprises K1 channel information and K2 channel information, 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 set of parameters is used to generate the K1 channel information, and the second set of parameters is used to generate the K2 channel information.

[0024] As an embodiment, the benefits of the above method include more flexible reporting.

[0025] As an embodiment, the benefits of the above method include good backward compatibility.

[0026] According to an aspect of the present application, the K1 channel information is for K1 time-frequency resources, and the K2 channel information is for K2 time-frequency resources, the K1 time-frequency resources belong to a first time-frequency resource pool, the K2 time-frequency resources 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 embodiment, the benefits of the above method include optimizing and adjusting channel information reporting according to changes in the environment, and optimizing the reporting quality and overhead in different environments.

[0028] As an embodiment, the benefits of the above method include good forward compatibility.

[0029] According to an aspect of the present application, the at least first channel information belongs to a first data set.

[0030] As an embodiment, the benefits of the above method include better meeting the special needs of AI or ML schemes, and optimizing the performance improvement brought by AI or ML schemes.

[0031] According to an aspect of the present application, the at least first channel information is transmitted on a first radio bearer, the first radio bearer being a new radio bearer beyond the radio bearers supported by 3GPP R19.

[0032] As an embodiment, the benefits of the above method include good forward compatibility.

[0033] According to an aspect of the present application, the at least first channel information is associated to a first identity, and a first operation is associated to the first identity, the first operation including inference.

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

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

[0036] As an embodiment, the benefits of the above method include making the function of AI / ML model more specialized, reducing the amount of parameters required by the model, reducing complexity, and improving performance.

[0037] The present application discloses a method in a second node used for wireless communication, characterized in that, comprising:

[0038] receiving a first information block and at least first channel information;

[0039] wherein the at least first channel information depends on measurement on at least first RS resources; 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 an aspect of the present application, the first channel information is for a first time-frequency resource, and the first parameter set depends on the first time-frequency resource.

[0041] According to an aspect of the present application, the first channel information is for a first time-frequency resource, and the first information block indicates the first time-frequency resource.

[0042] According to an aspect of the present application, the at least first channel information includes K1 channel information, K1 being a positive integer greater than 1, and the first channel information being one of the K1 channel information; the first parameter set is used to generate the K1 channel information, the K1 channel information being respectively for 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 an aspect of the present application, the at least first channel information comprises second channel information, the first channel information is for first time-frequency resources, the second channel information is for second time-frequency resources, a second set of parameters is used to generate the second channel information, the first set of parameters is different from the second set of parameters, and the first information block indicates the second set of parameters.

[0044] According to an aspect of the present application, the at least first channel information comprises K1 channel information and K2 channel information, K1 and K2 are positive integers greater than 1 respectively, 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 set of parameters is used to generate the K1 channel information, and the second set of parameters is used to generate the K2 channel information.

[0045] According to an aspect of the present application, the K1 channel information is respectively for K1 time-frequency resources, the K2 channel information is 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 a length of the first time-frequency resource pool is different from a length of the second time-frequency resource pool.

[0046] According to an aspect of the present application, the at least first channel information belongs to a first data set.

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

[0048] According to an aspect of the present application, the at least first channel information is associated to a first identifier, and a first operation is associated to the first identifier, and the first operation comprises reasoning.

[0049] The present application discloses a first node used for wireless communication, characterized by comprising:

[0050] a first receiver, configured to measure on at least first RS resources;

[0051] a first transmitter, configured to transmit a first information block and at least first channel information;

[0052] The at least first channel information depends on the measurement on the at least first RS resources; a first set of parameters is used to generate the first channel information, and the first information block indicates the first set of parameters.

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

[0054] a first processor, receiving a first information block and at least first channel information;

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

[0056] As one embodiment, compared with the conventional scheme, the application has the following advantages:

[0057] More accurate channel information reporting, improving system performance;

[0058] While improving the reporting performance, the reporting overhead is saved;

[0059] Flexible design, good forward compatibility;

[0060] Optimizing the performance improvement brought by AI or ML technology. BRIEF DESCRIPTION OF DRAWINGS

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

[0062] Fig. 1 shows a flowchart of at least first RS resources, a first information block and at least first channel information according to one embodiment of the application;

[0063] Fig. 2 shows a schematic diagram of a network architecture according to one embodiment of the application;

[0064] Fig. 3 shows a schematic diagram of an embodiment of a wireless protocol architecture of a user plane and a control plane according to one embodiment of the application;

[0065] Fig. 4 shows a schematic diagram of a first communication device and a second communication device according to one embodiment of the application;

[0066] Fig. 5 shows a transmission between a first node and a second node according to one embodiment of the application;

[0067] Fig. 6 shows a schematic diagram of first channel information according to one embodiment of the application;

[0068] Fig. 7 shows a schematic diagram of first channel information according to one embodiment of the application;

[0069] Fig. 8 shows a schematic diagram of first channel information according to one embodiment of the application;

[0070] Figure 9 shows a diagram of first channel information for first time-frequency resources according to one embodiment of the application;

[0071] Figure 10 shows a diagram of first channel information depending on measurements on at least first RS resources according to one embodiment of the application;

[0072] Figure 11 shows a diagram of first parameter set depending on first time-frequency resources according to one embodiment of the application;

[0073] Figure 12 shows a diagram of first information block indicating first time-frequency resources according to one embodiment of the application;

[0074] Figure 13 shows a diagram of K1 channel information for K1 time-frequency resources respectively according to one embodiment of the application;

[0075] Figure 14 shows a diagram of K1 time-frequency resources belonging to a first time- frequency resource pool according to one embodiment of the application;

[0076] Figure 15 shows a diagram of first parameter set being used to generate K1 channel information according to one embodiment of the application;

[0077] Figure 16 shows a diagram of first channel information and second channel information according to one embodiment of the application;

[0078] Figure 17 shows a diagram of first time-frequency resources and second time-frequency resources according to one embodiment of the application;

[0079] Figure 18 shows a diagram of first time-frequency resources and second time-frequency resources according to one embodiment of the application;

[0080] Figure 19 shows a diagram of second parameter set being used to generate second channel information according to one embodiment of the application;

[0081] Figure 20 shows a diagram of second parameter set being used to generate K2 channel information according to one embodiment of the application;

[0082] Figure 21 shows a diagram of 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 one embodiment of the application;

[0083] Figure 22 shows a diagram of at least first channel information belonging to a first data set according to one embodiment of the application;

[0084] Figure 23 shows a diagram of at least first channel information being transmitted on a first radio bearer according to one embodiment of the application;

[0085] FIG. 24 shows a schematic diagram of at least first channel information and first operation associated to a first identity according to an embodiment of the present application;

[0086] FIG. 25 shows a schematic diagram of deploying first operation according to an embodiment of the present application;

[0087] FIG. 26 shows a schematic diagram of an artificial intelligence or machine learning based processing system according to an embodiment of the present application;

[0088] FIG. 27 shows a schematic diagram of an artificial intelligence or machine learning based processing system according to an embodiment of the present application;

[0089] FIG. 28 shows a schematic diagram of AI function deployment according to an embodiment of the present application;

[0090] FIG. 29 shows a schematic diagram of AI function deployment according to an embodiment of the present application;

[0091] FIG. 30 shows a structural block diagram of a processing device for use in a first node according to an embodiment of the present application;

[0092] FIG. 31 shows a structural block diagram of a processing device for use in a second node according to an embodiment of the present application. DETAILED DESCRIPTION

[0093] The technical solutions of the present application will be further described in detail below with reference to the accompanying drawings. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other arbitrarily without conflict. Based on performance, flexibility, complexity, overhead and compatibility, etc., the person skilled in the art has the motivation to combine the embodiments in different drawings flexibly without conflict, for example, but not limited to, the embodiments in FIG. 1 and the embodiments in FIG. 5-FIG. 31, the embodiments in FIG. 5 and the embodiments in FIG. 6-FIG. 31, etc.

[0094] Embodiment 1

[0095] Embodiment 1 shows a flowchart of at least first RS resource, first information block and at least first channel information according to an embodiment of the present application, as shown in FIG. 1. In 100 shown in FIG. 1, each block represents a step. In particular, the order of steps in the block does not represent a specific time sequence between the steps.

[0096] In Embodiment 1, the first node measures in step 101 on at least a first RS resource; sends in step 102 a first information block and at least first channel information. Wherein, the at least first channel information depends on the 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.

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

[0098] As an embodiment, the at least first RS resource includes one or more RS resources in addition to the first RS resource.

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

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

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

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

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

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

[0105] As an embodiment, the first RS resource is a SS / PBCH block resource.

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

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

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

[0109] As one embodiment, measuring on at least the first RS resource means measuring RS transmitted on the at least first RS resource.

[0110] As one embodiment, measuring on at least the first RS resource comprises measuring RS transmitted on each of the at least first RS resource.

[0111] As one embodiment, measuring on at least the first RS resource comprises measuring RS transmitted on part of the at least first RS resource.

[0112] As one embodiment, the measurement comprises channel measurement.

[0113] As one embodiment, the measurement comprises measurement of received power.

[0114] As one embodiment, the measurement comprises measurement of channel matrix.

[0115] As one embodiment, the measurement comprises interference measurement.

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

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

[0118] As one embodiment, the first information block comprises Medium Access Control layer Control Element (MAC CE).

[0119] As one embodiment, the first information block comprises Radio Resource Control (RRC) Information Element (IE).

[0120] As one embodiment, the first information block comprises 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 an embodiment, the first information block and the at least first channel information are transmitted on different cells.

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

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

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

[0128] As an embodiment, the first information block is transmitted earlier than the at least first channel information.

[0129] As an embodiment, the first information block is transmitted later than the at least first channel information.

[0130] As an embodiment, the first channel information comprises CSI.

[0131] As an embodiment, the first channel information comprises one or more of 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] As a preferred embodiment, the first channel information comprises PMI.

[0133] As an embodiment, the first channel information comprises PMI and RI.

[0134] As an embodiment, the first channel information comprises PMI, RI and CQI.

[0135] As an embodiment, the first channel information comprises a precoding matrix.

[0136] As an embodiment, the first channel information comprises precoding information.

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

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

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

[0140] As an embodiment, the first channel information comprises PMI, the PMI comprised by the first channel information is based on codebook supported by 3GPP R18 or earlier releases.

[0141] As an embodiment, the first channel information comprises PMI, the PMI comprised by the first channel information is based on Type II codebook.

[0142] As an embodiment, the Type II codebook is defined in section 5.2.2 of 3GPP TS 38.214.

[0143] As an embodiment, the at least first channel information only comprises the first channel information.

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

[0145] As an embodiment, any of the at least first channel information comprises CSI.

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

[0147] As an embodiment, any of the at least first channel information comprises PMI.

[0148] As an embodiment, any of the at least first channel information comprises PMI and RI.

[0149] As one embodiment, any of the at least first channel information comprises a PMI, a RI and a CQI.

[0150] As one embodiment, any of the at least first channel information is used for determining at least one precoding matrix.

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

[0152] As one embodiment, the first channel information depends on the measurement on each of the at least first RS resource.

[0153] As one embodiment, the first channel information depends on the measurement on only part of the at least first RS resource.

[0154] As one embodiment, the first node obtains channel measurements for computing the first channel information based on the at least first RS resource.

[0155] As one embodiment, the first node obtains channel measurements for computing the first channel information based on only the at least first RS resource.

[0156] As one embodiment, the first node obtains channel measurements for computing the first channel information based on each of the at least first RS resource.

[0157] As one embodiment, the first node obtains channel measurements for computing the first channel information based on only part of the at least first RS resource.

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

[0159] As one embodiment, the first node obtains channel measurements for computing any of the at least first channel information based on the at least first RS resource.

[0160] As one embodiment, any of the at least first channel information corresponds to one RS resource identity.

[0161] As one sub-embodiment of the above embodiment, the one RS resource identity indicates one RS resource.

[0162] As one sub-embodiment of the above embodiment, the one RS resource identity indicates one RS resource of the at least first RS resource.

[0163] As one subembodiment of the above embodiment, the one RS resource identity indicates an RS resource not belonging to the at least first RS resource.

[0164] As one subembodiment of the above embodiment, the any channel information depends on measurement on RS resource indicated by the one RS resource identity.

[0165] As one subembodiment of the above embodiment, the first node transmits the at least one RS resource identity.

[0166] As one embodiment, the first parameter set comprises one or more parameters.

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

[0168] As one embodiment, the first channel information comprises Type II codebook-based PMI, and the first parameter set comprises parameters of Type II codebook.

[0169] As one embodiment, the first channel information comprises a number of bits depending on the first parameter set.

[0170] As one embodiment, the first channel information comprises a size depending on the first parameter set.

[0171] As one embodiment, the first channel information comprises a payload size depending on the first parameter set.

[0172] As one embodiment, the first channel information comprises an accuracy depending on the first parameter set.

[0173] As one embodiment, 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 one embodiment, part of parameters in the first parameter set are same as part of parameters in a reference parameter set, another part of parameters in the first parameter set are different from another part of parameters in the reference parameter set, and the first information block indicates only the another part of parameters in the first parameter set.

[0177] As one embodiment, the first information block implicitly indicates the first parameter set.

[0178] As one embodiment, the first information block indicates the first set of parameters by indicating other information.

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

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

[0181] As one embodiment, the frequency domain configuration parameters include higher layer parameters with names including reportFreqConfiguration.

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

[0183] As one embodiment, the number of beams includes higher layer parameters with names including numberOfBeams.

[0184] As one embodiment, the first set of parameters includes vector quantity related parameters.

[0185] As one embodiment, the vector quantity related parameters include one or more of higher layer parameters with names including paramCombination, higher layer parameters with names including numberOfPMI-SubbandsPerCQI-Subband, and higher layer parameters with names including td-dd-config.

[0186] As one embodiment, the first set of parameters includes coefficient quantity related parameters.

[0187] As one embodiment, the coefficient quantity related parameters include one or more of higher layer parameters with names including numberOfBeams, higher layer parameters with names including paramCombination, higher layer parameters with names including numberOfPMI-SubbandsPerCQI-Subband, and higher layer parameters with names including td-dd-config.

[0188] As one embodiment, the first set of parameters includes coefficient quantization related parameters.

[0189] As one embodiment, the quantization-related parameters include one or more of a higher layer parameter with a name including paramCombination and a higher layer parameter with a name including numberOfPMI-SubbandsPerCQI-Subband.

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

[0191] As one embodiment, the time slot interval configuration parameter includes a higher layer parameter with a name including td-dd-config.

[0192] As one embodiment, the first set of parameters includes a higher layer parameter with a name including reportFreqConfiguration.

[0193] As one embodiment, the first set of parameters includes a higher layer parameter with a name including numberOfBeams.

[0194] As one embodiment, the first set of parameters includes a higher layer parameter with a name including paramCombination.

[0195] As one embodiment, the first set of parameters includes a higher layer parameter with a name including numberOfPMI-SubbandsPerCQI-Subband.

[0196] As one embodiment, the first set of parameters includes a higher layer parameter with a name including td-dd-config.

[0197] As one embodiment, the first set of parameters includes a higher layer parameter with a name including paramCombination-Doppler.

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

[0199] As one subembodiment of the above embodiment, the first set of parameters is used to generate the plurality of vectors and the plurality of coefficients.

[0200] As one subembodiment of the above embodiment, the generation of the plurality of vectors and the plurality of coefficients depends on the first set of parameters.

[0201] As one subembodiment of the above embodiment, the plurality of vectors and the plurality of coefficients are used to generate at least one precoding matrix.

[0202] As a sub-example of the above example, any of the at least one precoding matrix depends on a sum of the plurality of vectors weighted by weighting coefficients, the weighting coefficients depending on the plurality of coefficients.

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

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

[0205] As a sub-example of the above example, the number of coefficients with non-fixed values indicated by the first channel information depends on the first set of parameters.

[0206] As a sub-example of the above example, an upper limit of the number of coefficients with non-fixed values indicated by the first channel information depends on the first set of parameters.

[0207] As a sub-example of the above example, the plurality of coefficients include amplitude coefficients, and the number of non-zero amplitude coefficients indicated by the first channel information depends on the first set of parameters.

[0208] As a sub-example of the above example, the plurality of coefficients include amplitude coefficients, and an upper limit of the number of non-zero amplitude coefficients indicated by the first channel information depends on the first set of parameters.

[0209] As a sub-example of the above example, a range of values of at least one of the plurality of coefficients depends on the first set of parameters.

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

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

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

[0213] As a sub-embodiment of the above-mentioned embodiment, the first parameter set comprises a parameter related to quantization of coefficients, and a range of values of at least one of the plurality of coefficients depends on the parameter related to quantization of coefficients comprised in the first parameter set.

[0214] As an embodiment, the first channel information is used to determine a plurality of precoding matrices, and the plurality of precoding matrices are respectively for a plurality of time-frequency resources.

[0215] As a sub-embodiment of the above-mentioned embodiment, a number of precoding matrices determined by the first channel information depends on the first parameter set.

[0216] As a sub-embodiment of the above-mentioned embodiment, the plurality of time-frequency resources depends on the first parameter set.

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

[0218] As a sub-embodiment of the above-mentioned embodiment, the first parameter set comprises a time slot interval configuration parameter, and a number of precoding matrices determined by the first channel information depends on the time slot interval configuration parameter comprised in the first parameter set.

[0219] As a sub-embodiment of the above-mentioned embodiment, the first parameter set comprises a time slot interval configuration parameter, and a time domain length of any of the plurality of time-frequency resources depends on the time slot interval configuration parameter comprised in the first parameter set.

[0220] As a sub-embodiment of the above-mentioned embodiment, the first parameter set comprises a frequency domain configuration parameter, and a frequency domain length of any of the plurality of time-frequency resources depends on the frequency domain configuration parameter comprised in the first parameter set.

[0221] As an embodiment, a precoding matrix is for a time-frequency resource, and the precoding matrix involves the time-frequency resource.

[0222] As an embodiment, a precoding matrix is for a time-frequency resource, and the precoding matrix is reported for the time-frequency resource.

[0223] As an embodiment, a precoding matrix is for a time-frequency resource, and the precoding matrix is valid within the time-frequency resource.

[0224] As an embodiment, a precoding matrix is for a time-frequency resource, and a channel measurement used to calculate the precoding matrix is obtained from a RS located within the time-frequency resource.

[0225] As one embodiment, one precoding matrix comprises one time-frequency resource, wherein the CSI reference resource of the one precoding matrix is the one time-frequency resource.

[0226] As one embodiment, the definition of the CSI reference resource refers to 3GPP TS 38.214.

[0227] As one embodiment, the time domain length of one time-frequency resource is expressed in s (second), ms (millisecond) or μs (microsecond).

[0228] As one embodiment, the time domain length of one time-frequency resource is expressed in number of symbols, number of slots, number of frames or number of subframes.

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

[0230] As one embodiment, the frequency domain length of one time-frequency resource is expressed in number of subcarriers, number of RBs (Resource Blocks) or number of sub-bands.

[0231] As one embodiment, the first channel information is used to determine W precoding matrices, wherein W is a positive integer.

[0232] As one embodiment, the first channel information is used to determine W precoding matrices, wherein the W precoding matrices are respectively for W PMI subbands, and W is a positive integer.

[0233] As one embodiment, the first channel information indicates the W precoding matrices.

[0234] As one embodiment, W depends on the first parameter set.

[0235] As one embodiment, the first parameter set comprises W.

[0236] As one embodiment, the first parameter set indicates W.

[0237] As one embodiment, W equals to 1.

[0238] As one embodiment, W is greater than 1.

[0239] As one embodiment, the length of each PMI subband in the W PMI subbands depends on the first parameter set.

[0240] As one embodiment, the first parameter set indicates the length of each PMI subband in the W PMI subbands.

[0241] As one embodiment, one PMI subband includes a positive integer of consecutive RBs.

[0242] As one embodiment, one PMI subband is one subband.

[0243] As one embodiment, one PMI subband is one subband or a part of one subband.

[0244] As one embodiment, one subband includes at least one PMI subband.

[0245] As one embodiment, one subband includes how many PMI subbands of the W PMI subbands, depending on the first parameter set.

[0246] As one embodiment, the length of one PMI subband refers to the number of RBs included by the one PMI subband.

[0247] As one embodiment, the time-frequency resource targeted by the first channel information includes W1 subbands, the W1 is a positive integer, and the W depends on the W1 and a first coefficient, the first coefficient is a positive integer.

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

[0249] As one sub-embodiment of the above embodiment, the first coefficient indicates the number of PMI subbands included by one subband.

[0250] As one sub-embodiment of the above embodiment, the larger the first coefficient is, the smaller the number of RBs included by one PMI subband is.

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

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

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

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

[0255] As one subembodiment of the above embodiment, when the first coefficient is greater than 1, each of the W PMI subbands, except the first and the last PMI subbands, consists of partial RBs of one of the W1 subbands.

[0256] As one reference embodiment of the above subembodiment, when the first subband of the W1 subbands is the first subband of the BWP, the first PMI subband of the W PMI subbands is the first subband or consists of partial RBs of the first subband.

[0257] As one reference embodiment of the above subembodiment, when the last subband of the W1 subbands is the last subband of the BWP, the last PMI subband of the W PMI subbands is the last subband or consists of partial RBs of the last subband.

[0258] As one subembodiment of the above embodiment, the first parameter set indicates the W1 subbands.

[0259] As one subembodiment of the above embodiment, the first parameter set includes a frequency domain configuration parameter, and the frequency domain configuration parameter included in the first parameter set indicates the W1 subbands.

[0260] As one subembodiment of the above embodiment, the first parameter set indicates the first coefficient.

[0261] As one embodiment, the W1 is equal to 1.

[0262] As one embodiment, the W1 is greater than 1.

[0263] As one embodiment, the first channel information is used to determine N pre-coding matrix groups, the N pre-coding matrix groups are respectively for N slot intervals, and the N is a positive integer.

[0264] As one embodiment, the N is equal to 1.

[0265] As one embodiment, the N is greater than 1.

[0266] As one embodiment, the N depends on the first parameter set.

[0267] As one embodiment, the first parameter set includes the N.

[0268] As one embodiment, the first parameter set indicates the N.

[0269] As one embodiment, a length of each of the N slot intervals depends on the first parameter set.

[0270] As one embodiment, the first parameter set indicates a length of each of the N slot intervals.

[0271] As one embodiment, the N slot intervals are consecutive in time domain.

[0272] As one embodiment, the N slot intervals have equal length.

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

[0274] As one sub-embodiment of the above embodiment, the W depends on the first parameter set.

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

[0276] As one embodiment, one slot interval includes a positive integer of consecutive slots.

[0277] As one embodiment, a length of one slot interval refers to a number of slots included in the one slot interval.

[0278] As one embodiment, the first parameter set includes a slot interval configuration parameter, and the N and the length of each of the N slot intervals depend on the slot interval configuration parameter included in the first parameter set.

[0279] As one sub-embodiment of the above embodiment, the slot interval configuration parameter included in the first parameter set indicates a first slot interval number, and the N is equal to the first slot interval number.

[0280] As one sub-embodiment of the above embodiment, the slot interval configuration parameter included in the first parameter set indicates a first slot interval number, and the N depends on the first slot interval number.

[0281] As one reference embodiment of the above sub-embodiment, the N increases with an increase of the first slot interval number.

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

[0283] As one subembodiment of the above embodiment, the first set of parameters includes the time interval configuration parameter indicating a first time interval length, and a length of each of the N time intervals depends on the first time interval length.

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

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

[0286] As one subembodiment of the above embodiment, the L vectors are used to compute the W precoding matrices.

[0287] As one subembodiment of the above embodiment, the W precoding matrices depend on a sum of the L vectors weighted by weighting coefficients.

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

[0289] As one subembodiment of the above embodiment, the L vectors and the M vectors are jointly used to compute the W precoding matrices.

[0290] As one subembodiment of the above embodiment, the W precoding matrices depend on a sum of the L vectors weighted by weighting coefficients, the weighting coefficients depending on the M vectors.

[0291] As one embodiment, the first channel information indicates L vectors and L2 sets of coefficients, the L2 equaling the L multiplied by 2.

[0292] As one subembodiment of the above embodiment, the L vectors and the L2 sets of coefficients are jointly used to compute the W precoding matrices.

[0293] As one subembodiment of the above embodiment, the W precoding matrices depend on a sum of the L vectors weighted by weighting coefficients, the weighting coefficients depending on the L2 sets of coefficients.

[0294] As one embodiment, the first channel information indicates L vectors, M vectors and L2 sets of coefficients, the L2 equaling the L multiplied by 2.

[0295] As one subembodiment of the above embodiment, the L vectors, the M vectors and the L2 sets of coefficients are jointly used to compute the W precoding matrices.

[0296] As a subembodiment of the above embodiment, the W precoding matrices depend on a sum of the L vectors weighted by weighting coefficients, which depend on the M vectors and the L2 sets of coefficients.

[0297] As an embodiment, the first channel information indicates L vectors, M vectors, Q vectors and L2 sets of coefficients, the L2 being equal to the L multiplied by 2.

[0298] As a subembodiment of the above embodiment, the L vectors, the M vectors, the Q vectors and the L2 sets of coefficients are jointly used for computing the N sets of precoding matrices.

[0299] As a subembodiment of the above embodiment, the N sets of precoding matrices depend on a sum of the L vectors weighted by weighting coefficients, which depend on the M vectors, the Q vectors and the L2 sets of coefficients.

[0300] As a preferred embodiment, the first channel information indicates the L vectors in sequence.

[0301] As a preferred embodiment, the first channel information indicates the M vectors in sequence.

[0302] As a preferred embodiment, the first channel information indicates the Q vectors in sequence.

[0303] As a preferred embodiment, the first channel information indicates the L2 sets of coefficients in sequence.

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

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

[0306] As an embodiment, the L depends on a number of beams.

[0307] As an embodiment, the L increases with an increase of a number of beams.

[0308] As an embodiment, the L vectors are mutually orthogonal two by two.

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

[0310] As an embodiment, a length of any vector of the L vectors depends on a number of ports.

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

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

[0313] As one sub-embodiment of the above embodiment, the first parameter set includes O1 and O2.

[0314] As one sub-embodiment of the above embodiment, the first parameter set indicates O1 and O2.

[0315] As one sub-embodiment of the above embodiment, the number of ports of one RS resource in the at least first RS resource equals the product of N1 and N2.

[0316] As one sub-embodiment of the above embodiment, the number of ports of the first RS resource equals the product of N1 and N2.

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

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

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

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

[0321] As one embodiment, the first channel information explicitly indicates the L vectors.

[0322] As one embodiment, the first channel information implicitly indicates the L vectors.

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

[0324] As one embodiment, the L depends on the first parameter set.

[0325] The benefits of the above method include that the L is determined according to the spatial domain or angular domain characteristics of the actual channel of the channel, which improves the accuracy of the channel information while reducing the reporting overhead.

[0326] As one embodiment, the first parameter set includes L.

[0327] As one embodiment, the first parameter set indicates the L.

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

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

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

[0331] As one embodiment, the M is a positive integer greater than 1.

[0332] As one embodiment, any two of the M vectors are orthogonal to each other.

[0333] As one embodiment, the length of any vector in the M vectors is equal to the W.

[0334] As one embodiment, any vector in the M vectors can be represented as wherein the q3 is a positive integer, and the value of the q3 is different for any two different vectors in the M vectors.

[0335] As one embodiment, the M vectors are related to frequency domain characteristics or delay domain characteristics.

[0336] As one embodiment, the first channel information explicitly indicates the M vectors.

[0337] As one embodiment, the first channel information implicitly indicates the M vectors.

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

[0339] As one embodiment, the M depends on the first parameter set.

[0340] The benefits of the above method include that the M is determined according to the frequency domain or delay domain characteristics of the actual channel of the channel, which improves the accuracy of the channel information while reducing the reporting overhead.

[0341] As one embodiment, the time-frequency resource to which the first channel information is directed includes W1 subbands, and the M depends on the W1.

[0342] As one embodiment, the M increases with the increase of the W1.

[0343] As one embodiment, the M depends on the W.

[0344] As one embodiment, the M increases with an increase of the W.

[0345] As one embodiment, the M depends on a product of the W and a second coefficient, the second coefficient being a positive real number less than 1.

[0346] As one embodiment, the M depends on the W, the first coefficient and a second coefficient, the second coefficient being a positive real number less than 1.

[0347] As one embodiment, the M equals the W divided by the first coefficient and multiplied by the second coefficient and rounded.

[0348] As one sub-embodiment of the above embodiment, the rounding is a rounding up.

[0349] As one embodiment, the second coefficient is configurable.

[0350] As one embodiment, the first parameter set includes the second coefficient.

[0351] As one embodiment, the first parameter set indicates the second coefficient.

[0352] As one embodiment, the first parameter set indicates the W1 sub-bands.

[0353] As one embodiment, the first parameter set indicates the first coefficient.

[0354] As one embodiment, the Q is a positive integer greater than 1.

[0355] As one embodiment, the Q vectors are pairwise orthogonal to each other.

[0356] As one embodiment, a length of any vector in the Q vectors equals the N.

[0357] As one embodiment, any vector in the Q vectors can be represented as where the q4 is a positive integer, and a value of the q4 is different for any two different vectors in the Q vectors.

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

[0359] As one embodiment, the first channel information explicitly indicates the Q vectors.

[0360] As one embodiment, the first channel information implicitly indicates the Q vectors.

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

[0362] As one embodiment, the Q depends on the first parameter set.

[0363] The benefits of the above method include that the Q is determined according to the Doppler domain or time domain characteristics of the actual channel of the channel, which improves the accuracy of the channel information while reducing the reporting overhead.

[0364] As one embodiment, the first parameter set includes the Q.

[0365] As one embodiment, the first parameter set indicates the Q.

[0366] As one embodiment, each of the L2 sets of coefficients includes a number of coefficients that depends on the first parameter set.

[0367] As one embodiment, any of the L2 sets of coefficients includes at least one amplitude coefficient.

[0368] As one embodiment, any of the L2 sets of coefficients includes at least one phase coefficient.

[0369] As one embodiment, any of the L2 sets of coefficients includes at least one subband amplitude coefficient.

[0370] As one embodiment, any of the L2 sets of coefficients includes at least one amplitude coefficient and at least one phase coefficient.

[0371] As one embodiment, any of the L2 sets of coefficients includes at least one amplitude coefficient, at least one phase coefficient, and at least one subband amplitude coefficient.

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

[0373] As one embodiment, a weighting coefficient of any of the L vectors is equal to a product of an amplitude coefficient, a phase coefficient, and a subband amplitude coefficient.

[0374] As one embodiment, the first channel information explicitly indicates the L2 sets of coefficients.

[0375] As one embodiment, the first channel information implicitly indicates the L2 sets of coefficients.

[0376] As an embodiment, the first channel information explicitly indicates a part of the L2 coefficient groups and implicitly indicates another part of the L2 coefficient groups.

[0377] As an embodiment, the first channel information indicates a coefficient group in which a strongest coefficient is located, the coefficient group in which the strongest coefficient is located including an amplitude coefficient, a phase coefficient and a subband amplitude coefficient all being 1.

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

[0379] The above method has the benefits of adjusting reporting precision according to actual channel characteristics, improving channel information accuracy while reducing reporting overhead.

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

[0381] As an embodiment, a value range of at least one amplitude coefficient in the L2 coefficient groups depends on the first parameter set.

[0382] As an embodiment, the first parameter set indicates a value range of at least one amplitude coefficient in the L2 coefficient groups.

[0383] As an embodiment, a value range of any amplitude coefficient in the L2 coefficient groups depends on the first parameter set.

[0384] As an embodiment, the first parameter set indicates a value range of any amplitude coefficient in the L2 coefficient groups.

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

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

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

[0388] As an embodiment, a value range of at least one phase coefficient in the L2 coefficient groups depends on the first parameter set.

[0389] As an embodiment, the first parameter set indicates a value range of at least one phase coefficient in the L2 coefficient groups.

[0390] As one embodiment, the value range of any phase coefficient in the L2 coefficient groups depends on the first parameter set.

[0391] As one embodiment, the first parameter set indicates the value range of any phase coefficient in the L2 coefficient groups.

[0392] As one embodiment, the number of phase coefficients with non-fixed values in the L2 coefficient groups depends on the first parameter set.

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

[0394] As one embodiment, the number of subband amplitude coefficients with non-fixed values in the L2 coefficient groups depends on the first parameter set.

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

[0396] As one embodiment, the value range of at least one subband amplitude coefficient in the L2 coefficient groups depends on the first parameter set.

[0397] As one embodiment, the first parameter set indicates the value range of at least one subband amplitude coefficient in the L2 coefficient groups.

[0398] As one embodiment, the number of subband amplitude coefficients with fixed value 1 in the L2 coefficient groups depends on the first parameter set.

[0399] As one embodiment, the first parameter set indicates how many subband amplitude coefficients in the L2 coefficient groups are fixed to 1.

[0400] As one embodiment, the amplitude coefficients are non-negative real numbers no greater than 1.

[0401] As one embodiment, the phase coefficients are complex numbers with modulus 1.

[0402] As one embodiment, the subband amplitude coefficients are positive real numbers no greater than 1.

[0403] As one embodiment, the value range of a coefficient indicates the quantization precision of the coefficient.

[0404] As one embodiment, the value range of a coefficient is related to the quantization precision of the coefficient.

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

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

[0407] As one embodiment, the first channel information indicates L vectors and L2 sets of coefficients, the L2 equaling the L multiplied by 2, the L depending on the first parameter set, at least one of a number of coefficients in the L2 sets of coefficients and a range of values of at least one coefficient depending on the first parameter set.

[0408] As one embodiment, the first channel information indicates L vectors, M vectors and L2 sets of coefficients, the L2 equaling the L multiplied by 2, both of the L and the M depending on the first parameter set, at least one of a number of coefficients in the L2 sets of coefficients and a range of values of at least one coefficient depending on the first parameter set.

[0409] As one embodiment, the first channel information indicates L vectors, M vectors, Q vectors and L2 sets of coefficients, the L2 equaling the L multiplied by 2, both of the L and the M depending on the first parameter set, at least one of a number of coefficients in the L2 sets of coefficients and a range of values of at least one coefficient depending on the first parameter set.

[0410] As one embodiment, the first node determines the first parameter set.

[0411] As one embodiment, the first node determines the first parameter set by itself.

[0412] The above method has the advantage of giving the first node sufficient freedom to select the first parameter set according to the actual channel condition, optimizing the reporting.

[0413] Embodiment 2

[0414] Embodiment 2 illustrates a schematic diagram of a network architecture according to one embodiment of the present application, as shown in FIG. 2.

[0415] FIG. 2 illustrates a network architecture 200. The network architecture 200 is a 5G NR (New Radio) / LTE (Long-Term Evolution) / LTE-A (Long-Term Evolution Advanced) system, or the network architecture 200 is a 5G+ network architecture, or the network architecture 200 is a 6G network architecture, or the network architecture 200 is a network architecture adopted in 3GPP future continued evolution; the network architecture 200 can be referred to as 5GS (5G System) / EPS (Evolved Packet System), or the network architecture 200 can be referred to as 6GS (6G System); the network architecture 200 includes a UE (User Equipment) 201, a RAN (Radio Access Network) 202, a core network 210, a HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and at least one of an Internet service 230. The network architecture 200 can be interconnected with other access networks, but these entities / interfaces are not shown for simplicity. As illustrated, the network architecture 200 provides packet-switched services, however, those skilled in the art will readily appreciate that the various concepts presented throughout this application are amenable to use with networked systems including, but not limited to, other cellular systems, wireless or wired packet-switched network systems, or other mobile communication systems. The RAN includes a node 203. The RAN can also include other nodes 204. The node 203 provides user and control plane protocol terminations toward the UE 201. The node 203 can be connected to the other nodes 204 via an Xn interface (e.g., backhaul) / X2 interface. The node 203 can also be referred to as a base station, a base transceiver station, a radio base station, a radio transceiver, a transceiver function, a basic service set (BSS), an extended service set (ESS), a TRP (Transmit Receive Point), or some other suitable terminology. The core network 210 is a 5GC (5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is a 6GC; the node 203 provides an access point to the core network 210 for the UE 201.Examples of a UE 201 include a cellular phone, a smart phone, a session initiation protocol (SIP) phone, a laptop, a personal digital assistant (PDA), a satellite radio, a non-tethered base station communication, a satellite mobile communication, a global positioning system, a multimedia device, a video device, a digital audio player (e.g., MP3 player), a camera, a game console, a drone, a flying vehicle, a narrowband internet of things device, a machine type communication device, a land vehicle, a car, a wearable device, or any other similar functional device. Those skilled in the art will also The node 203 is connected by an S1 / NG interface to the core network 210. The core network 210 includes a MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MME / AMF / SMF 214, a S-GW (Service Gateway) / UPF (User Plane Function) 212, and a P-GW (Packet Date Network Gateway) / UPF 213. The MME / AMF / SMF 211 is a 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 Protocal) packets are transferred through the S-GW / UPF 212, which itself is connected to the P-GW / UPF 213. The P-GW provides UE IP address allocation as well as other functions. The P-GW / UPF 213 is connected to the Internet services 230. The Internet services 230 include operator corresponding Internet protocol services, which can specifically include the Internet, an intranet, an IMS (IP Multimedia Subsystem), and a packet switching service.

[0416] As one embodiment, the first node comprises the UE 201.

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

[0418] As one embodiment, the wireless link between the UE 201 and the node 203 comprises a cellular network link.

[0419] As one embodiment, the transmitter of the RS in the at least first RS resource comprises the node 203.

[0420] As one embodiment, the receiver of the RS in the at least first RS resource comprises the UE 201.

[0421] As one embodiment, the transmitter of the first information block comprises the UE 201.

[0422] As one embodiment, the receiver of the first information block comprises the node 203.

[0423] As one embodiment, the transmitter of the at least first channel information comprises the UE 201.

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

[0425] As one embodiment, the UE 201 supports AI or ML based operations.

[0426] As one embodiment, the node 203 supports AI or ML based operations.

[0427] Embodiment 3

[0428] Embodiment 3 illustrates a schematic diagram of an embodiment of a radio protocol architecture for user plane and control plane, according to one embodiment of the application, as shown in FIG. 3.

[0429] Figure 3 is a schematic diagram illustrating an embodiment of a radio protocol architecture for a user plane 350 and a control plane 300, Figure 3 showing three layers of the radio protocol architecture for the control plane 300 between a first communication node device (UE, gNB or RSU in V2X) and a second communication node device (gNB, UE or RSU in V2X), or between two UEs: Layer 1, Layer 2, and Layer 3. Layer 1 (LI layer) is the lowest layer and implements various PHY (Physical layer) signal processing functions. The LI layer will be referred to as the PHY 301 herein. Layer 2 (L2 layer) 305 is above the PHY 301 and is responsible for the link between the first communication node device and the second communication node device, or between two UEs. The L2 layer 305 includes a MAC (Medium Access Control) sublayer 302, a RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate the functions of the second communication node device. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. The PDCP sublayer 304 also provides security functions, such as ciphering of the data packets, and header compression. The RLC sublayer 303 provides segmentation and reassembly of upper layer data packets, retransmission of lost data packets, and reordering of data packets to compensate for out-of-order reception due to HARQ. The MAC sublayer 302 provides multiplexing between logical and transport channels. The MAC sublayer 302 is also responsible for allocating the various radio resources (e.g., resource blocks) in one cell among the UEs. The MAC sublayer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sublayer 306 in Layer 3 (L3 layer) in the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and the use of RRC signaling between the second communication node device and the first communication node device for configuring the lower layers. The radio protocol architecture for the user plane 350 includes Layer 1 (LI layer) and Layer 2 (L2 layer), which are substantially the same as the corresponding layers and sublayers in the control plane 300 for the physical layer 351, the PDCP sublayer 354 in the L2 layer 355, the RLC sublayer 353 in the L2 layer 355, and the MAC sublayer 352 in the L2 layer 355 for the first communication node device and the second communication node device, but the PDCP sublayer 354 also provides header compression for upper layer data packets to reduce radio transmission overhead.The L2 layer 355 in the user plane 350 also includes a SDAP (Service Data Adaptation Protocol) sublayer 356, which is responsible for the mapping between a QoS flow and a data radio bearer (DRB) to support the diversity of services. Although not illustrated, the first communication node device can have several upper layers above the L2 layer 355, including a network layer (e.g., IP layer) that terminates at a P-GW on the network side and an application layer that terminates at the other end of the connection (e.g., a remote UE, a server, etc.).

[0430] As one embodiment, the wireless protocol architecture in FIG. 3 is applicable to the first node.

[0431] As one embodiment, the wireless protocol architecture in FIG. 3 is applicable to the second node.

[0432] As one embodiment, the higher layer in this application refers to a layer above the physical layer.

[0433] As one embodiment, the first information block is generated at the PHY 301 or the PHY 351.

[0434] As one embodiment, the first information block is generated at the MAC sublayer 302 or the MAC sublayer 352.

[0435] As one embodiment, the first information block is generated at the RRC sublayer 306.

[0436] As one embodiment, the at least first channel information is generated at the PHY 301 or the PHY 351.

[0437] Embodiment 4

[0438] Embodiment 4 illustrates a schematic diagram of a first communication device and a second communication device according to one embodiment of the present application, as shown in FIG. 4. FIG. 4 is a block diagram of a first communication device 410 and a second communication device 450 that communicate with each other in an access network.

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

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

[0441] In the transmission from the first communication device 410 to the second communication device 450, at the first communication device 410, upper layer packets from a core network are provided to the controller / processor 475. The controller / processor 475 implements functionality of the L2 layer. In the DL (DownLink), the controller / processor 475 provides header compression, ciphering, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocations for the second communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the second communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for the LI layer (i.e., physical layer). The transmit processor 416 implements coding and interleaving to facilitate forward error correction (FEC) at the second communication device 450, and constellation mapping based on various modulation schemes (e.g., binary phase-shift keying (BPSK), quadrature phase-shift keying (QPSK), M-phase-shift keying (M-PSK), M-quadrature amplitude modulation (M-QAM)). The multi-antenna transmit processor 471 performs digital spatial pre-coding of the coded and modulated symbols, including codebook-based and non-codebook-based pre-coding, and beamforming processing, generating one or more parallel streams. The transmit processor 416 then maps to each parallel stream to subcarriers, multiplexes the modulated symbols with reference signals (e.g., pilot) in time domain and / or frequency domain, and then performs an inverse fast Fourier transform (IFFT) to generate time domain multi-carrier symbol streams. The multi-antenna transmit processor 471 then performs transmit analog pre-coding / beamforming operations on the time domain multi-carrier symbol streams. Each transmitter 418 converts the baseband multi-carrier symbol streams provided by the multi-antenna transmit processor 471 into radio frequency streams, which are then provided to different antennas 420.

[0442] In transmission from the first communication device 410 to the second communication device 450, at the second communication device 450, each receiver 454 receives a signal through its respective antenna 452. Each receiver 454 recovers information modulated onto an RF carrier and converts the RF stream into a baseband, multicarrier symbol stream to be provided to a receive processor 456. The receive processor 456 and a multiple access receive processor 458 implement various signal processing functions of the Ll layer. The multiple access receive processor 458 performs receive analog precoding / beamforming operations on the baseband, multicarrier symbol stream from the receivers 454. The receive processor 456 converts the baseband, multicarrier symbol stream from the receive analog precoding / beamforming operations from the time domain to the frequency domain using a Fast Fourier Transform (FFT). In the frequency domain, the physical layer data signals and the reference signals are demultiplexed by the receive processor 456, with the reference signals to be used for channel estimation and the data signals to be recovered after multi-antenna detection in the multiple access receive processor 458 for any parallel streams destined to the second communication device 450. The symbols on each parallel stream are demodulated and recovered in the receive processor 456 and generate soft decisions. The receive processor 456 then decodes and de-interleaves the soft decisions to recover the upper layer data and control signals transmitted by the first communication device 410 on the physical channels. The upper layer data and control signals are then provided to a controller / processor 459. The controller / processor 459 implements the functions of the L2 layer. The controller / processor 459 can be associated with a memory 460 that stores program codes and data. The memory 460 can be referred to as a computer-readable medium. In the DL, the controller / processor 459 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover upper layer data packets from the core network. The upper layer data packets are then provided to all protocol layers above the L2 layer. Various control signals can also be provided to the L3 for L3 processing. The controller / processor 459 is also responsible for error detection using an acknowledgement (ACK) and / or negative acknowledgement (NACK) protocol to support HARQ operations.

[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 packets to a controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmit function described at the first communication device 410 in the DL, the controller / processor 459 implements header compression, ciphering, packet segmentation and reordering, and multiplexing between logical and transport channels based on radio resource allocations for the first communication device 410, implements L2 layer functionality for the user plane and control plane. The controller / processor 459 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the first communication device 410. A transmit processor 468, in conjunction with a multi-antenna transmit processor 457, performs modulation mapping, channel coding processing, digital multi-antenna spatial processing, including codebook-based and non-codebook-based precoding, and beamforming processing, and then the transmit processor 468 creates parallel streams of coded and modulated symbols for the different antenna ports, which are provided to different antennas 452 via separate transmitters 454 after analog precoding / beamforming at the multi-antenna transmit processor 457. Each transmitter 454 then converts the baseband streams into radio frequency signals and transmits the radio frequency signals via the antennas 452.

[0444] In the transmission from the second communication device 450 to the first communication device 410, the functionality at the first communication device 410 is similar to the functionality described in connection with the reception at the second communication device 450 in the transmission from the first communication device 410 to the second communication device 450. Each receiver 418 receives a radio frequency signal through its respective antenna 420, converts the received radio frequency signal into a baseband signal, and provides the baseband signal to a multi-antenna receive processor 472 and a receive processor 470. The receive processor 470 and the multi-antenna receive processor 472, in conjunction with the controller / processor 475, implement the L1 layer functions. The controller / processor 475 implements the L2 layer functions. The controller / processor 475 can be associated with a memory 476 that stores program codes and data. The memory 476 can be referred to as a computer-readable medium. The controller / processor 475 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover upper layer packets from the second communication device 450. Upper layer packets from the controller / processor 475 can be provided to a core network. The controller / processor 475 is also responsible for error detection using an ACK and / or NACK protocol to support HARQ operations.

[0445] As one embodiment, the second communication device 450 comprises: at least one processor and at least one memory including a computer program code; the at least one memory and the computer program code are configured to, with the at least one processor, cause the second communication device 450 to perform at least the following: 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 is dependent on the measurement on the at least first RS resource; a first set of parameters is used for generating the first channel information, the first information block indicating the first set of parameters.

[0446] As one embodiment, the second communication device 450 comprises: a memory storing a computer readable program of instructions which, when executed by at least one processor, causes performance of actions comprising: measuring on the at least first RS resource; transmitting the first information block and the at least first channel information.

[0447] As one embodiment, the first communication device 410 comprises: at least one processor and at least one memory including a computer program code; the at least one memory and the computer program code are configured to, with the at least one processor, cause the first communication device 410 to perform at least the following: receiving the first information block and the at least first channel information. The at least first channel information is dependent on the measurement on the at least first RS resource; a first set of parameters is used for generating the first channel information, the first information block indicating the first set of parameters.

[0448] As one embodiment, the first communication device 410 comprises: a memory storing a computer readable program of instructions which, when executed by at least one processor, causes performance of actions comprising: receiving the first information block and the at least first channel information.

[0449] As one embodiment, the first node in the present application comprises the second communication device 450.

[0450] As one embodiment, the second node in the present application comprises the first communication device 410.

[0451] As an embodiment, at least one of {the antenna 452, the receiver 454, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is configured to measure on the at least first RS resource; at least one of {the antenna 420, the transmitter 418, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, the memory 476} is configured to transmit on the at least first RS resource.

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

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

[0454] Embodiment 5

[0455] Embodiment 5 illustrates a flow chart of transmission according to an embodiment of the present application; as shown in FIG. 5. In FIG. 5, the second node U1 and the first node U2 are communication nodes of transmission through an air interface. In FIG. 5, the steps in the block F51 to the block F55 are optional respectively.

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

[0457] For the first node U2, receiving the first configuration information block in step S5201; measuring on at least the first RS resource in step S521; sending the first information block and at least the first channel information in step S522; deploying the first operation in step S5202; performing the first operation in step S5203.

[0458] In embodiment 5, the at least first channel information is dependent on the measurement on the at least first RS resource; a first set of parameters is used for generating the first channel information, and the first information block indicates the first set of parameters.

[0459] As one embodiment, the first node U2 is the first node in the present application.

[0460] As one embodiment, the second node U1 is the second node in the present application.

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

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

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

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

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

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

[0467] As one embodiment, the second node U1 comprises a serving cell maintaining base station of the first node U2.

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

[0469] As one embodiment, the second node U1 comprises an OAM (Operation Administration and Maintenance).

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

[0471] As one embodiment, the second node U1 comprises a core network device.

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

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

[0474] As one embodiment, the at least first channel information is transmitted on a PUSCH.

[0475] As one embodiment, the at least first channel information is transmitted on a PUCCH.

[0476] As one embodiment, the step in block F53 in figure 5 is present, and the method in the second node for wireless communication comprises transmitting on the at least first RS resource.

[0477] As one embodiment, 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 comprises transmitting RS on each RS resource of the at least first RS resource.

[0479] As one embodiment, transmitting on the at least first RS resource comprises transmitting RS on a part of the RS resources of the at least first RS resource.

[0480] As one embodiment, the step in block F53 in figure 5 is not present, and the transmitter of the at least 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 transmitter of the at least first RS resource is a serving cell of the first node.

[0482] As one embodiment, the transmitter of the at least first RS resource means a transmitter of RS in the at least first RS resource.

[0483] As one embodiment, the step in block F52 in FIG. 5 exists, the method in the first node used for wireless communication comprises:

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

[0485] As one embodiment, the first configuration information block is carried by higher layer signaling.

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

[0487] As one embodiment, the first configuration information block is carried by one or more RRC Information Elements (IEs).

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

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

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

[0491] As one embodiment, the first configuration information block comprises part or all of the information in a ServingCellConfig IE.

[0492] As one embodiment, the first configuration information block comprises part or all of the information in a CellGroupConfig IE.

[0493] As one embodiment, the first configuration information block is transmitted on a PDSCH.

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

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

[0496] As one embodiment, the first configuration information block indicates each of the at least first RS resource.

[0497] As one embodiment, the first configuration information block indicates an identity of each of the at least first RS resource.

[0498] As a sub-embodiment of the above embodiment, the identity of any of the at least first RS resources is NZP-CSI-RS-Resourceid or SSB-Index.

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

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

[0501] As a sub-embodiment of the above embodiment, the first configuration information block indicates the identity of the one RS resource set.

[0502] As a reference embodiment of the above sub-embodiment, the identity of the one RS resource set is NZP-CSI-RS-ResourceSetld, CSI-ResourceConfigld, or CSI-SSB-ResourceSetld.

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

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

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

[0506] As an 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 an embodiment, the configuration information of the at least first channel information includes the physical layer channel carrying the at least first channel information.

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

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

[0510] As one embodiment, the configuration information of the at least first channel information comprises at least one of a period and a time slot offset.

[0511] As one embodiment, the configuration information of the at least first channel information comprises a frequency domain resource.

[0512] As one embodiment, 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 time domain, and the configuration information of the at least first channel information comprises at least one of the first time point and the second time point.

[0513] As one embodiment, 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 frequency domain, and the configuration information of the at least first channel information comprises at least one of the first frequency point and the second frequency point.

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

[0515] As one embodiment, the step in block F51 in FIG. 5 exists, and the method in the second node used for wireless communication comprises: transmitting the first configuration information block.

[0516] As one embodiment, the steps in both blocks F51 and F52 in FIG. 5 exist, and the transmitter of the first configuration information block is the second node U1.

[0517] As one embodiment, the step in block F51 in FIG. 5 does not exist, and the step in block F52 exists, and the transmitter 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 one embodiment, the at least first channel information comprises K1 channel information, K1 is a positive integer greater than 1, 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 is respectively for K1 time-frequency resources, the K1 time-frequency resources all belong to a first time-frequency resource pool, and the first information block indicates the first time-frequency resource pool.

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

[0522] As an embodiment, the at least first channel information comprises a 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 set of parameters is used to generate the second channel information, the first set of parameters is different from the second set of parameters, the first information block indicates the second set of parameters.

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

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

[0525] As an embodiment, the K1 channel information is respectively for K1 time-frequency resources, the K2 channel information is 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, the length of the first time-frequency resource pool is different from the length of the second time-frequency resource pool.

[0526] As an embodiment, the at least first channel information belongs to a first data set.

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

[0528] As an embodiment, the at least first channel information is associated to a first identity, a first operation is associated to the first identity, the first operation comprises reasoning.

[0529] As an embodiment, the step in block F54 in FIG. 5 exists, the method in the above first node used for wireless communication comprises:

[0530] Deploying the first operation.

[0531] As an embodiment, the deployment of the first operation is earlier than the sending of the at least first channel information.

[0532] As one embodiment, the first operation is deployed later than the sending of the at least first channel information.

[0533] As one embodiment, the step in block F55 in FIG. 5 is present, and the method in the first node for wireless communication comprises performing the first operation.

[0534] Embodiment 6

[0535] Embodiment 6 illustrates a diagram of first channel information according to one embodiment of the present application; as shown in FIG. 6. In embodiment 6, the first channel information indicates L vectors and L2 sets of coefficients, the L2 equals to the L multiplied by 2; the L vectors and the L2 sets of coefficients are used to determine a first precoding matrix; the first precoding matrix equals to a concatenation of a first sub-matrix and a second sub-matrix, the first sub-matrix equals to a sum of the L vectors each weighted by a first weighting coefficient, the second sub-matrix equals to a sum of the L vectors each weighted by a second weighting coefficient, the L first weighting coefficients depend on a first L sets of the L2 sets of coefficients, the L second weighting coefficients depend on a second L sets of the L2 sets of coefficients; any set of the L2 sets of coefficients comprises at least one amplitude coefficient out of an amplitude coefficient, a phase coefficient and a sub-band amplitude coefficient.

[0536] In FIG. 6, the L vectors are denoted as vector #i (i = 0 ~ L-1) respectively; the first L sets of the L2 sets of coefficients are denoted as coefficient set #i (i = 0 ~ L-1), the second L sets of the L2 sets of coefficients are denoted as coefficient set #(L+i) (i = 0 ~ L-1); the L first weighting coefficients and the L second weighting coefficients are denoted as first weighting coefficient #i and second weighting coefficient #i (i = 0 ~ L-1) respectively; the amplitude coefficient, the phase coefficient and the sub-band amplitude coefficient comprised in coefficient set #i (i = 0 ~ L-1) are denoted as first amplitude coefficient #i, first phase coefficient #i and first sub-band amplitude coefficient #i respectively; the amplitude coefficient, the phase coefficient and the sub-band amplitude coefficient comprised in coefficient set #(L+i) (i = 0 ~ L-1) are denoted as second amplitude coefficient #i, second phase coefficient #i and second sub-band amplitude coefficient #i respectively.

[0537] As one embodiment, any set of the L2 sets of coefficients comprises at least two out of an amplitude coefficient, a phase coefficient and a sub-band amplitude coefficient.

[0538] As one embodiment, any set of the L2 sets of coefficients comprises an amplitude coefficient, a phase coefficient and a sub-band amplitude coefficient.

[0539] As an embodiment, the first channel information indicates a coefficient group in which a strongest coefficient in the L2 coefficient groups is located, the coefficient group in which the strongest coefficient is located includes an amplitude coefficient, a phase coefficient and a subband amplitude coefficient all equal to 1.

[0540] As an embodiment, the L first weighting coefficients and the first L coefficient groups are one-to-one corresponding, the first weighting coefficient #i (i = 0, …, L-1) corresponds to the coefficient group #i; the coefficient group #i includes one non-zero amplitude coefficient and one phase coefficient and the first weighting coefficient #i is equal to the product of the one non-zero amplitude coefficient and the one phase coefficient; or the coefficient group #i includes one non-zero amplitude coefficient, one phase coefficient and one subband amplitude coefficient and the first weighting coefficient #i is equal to the product of the one non-zero amplitude coefficient, the one phase coefficient and the one subband amplitude coefficient; or the coefficient group #i includes one zero amplitude coefficient and the first weighting coefficient #i is equal to 0.

[0541] As an embodiment, the L second weighting coefficients and the last L coefficient groups are one-to-one corresponding, the second weighting coefficient #i (i = 0, …, L-1) corresponds to the coefficient group #(L+i), the coefficient group #(L+i) includes one non-zero amplitude coefficient and one phase coefficient and the second weighting coefficient #i is equal to the product of the one non-zero amplitude coefficient and the one phase coefficient; or the coefficient group #(L+i) includes one non-zero amplitude coefficient, one phase coefficient and one subband amplitude coefficient and the second weighting coefficient #i is equal to the product of the one non-zero amplitude coefficient, the one phase coefficient and the one subband amplitude coefficient; or the coefficient group #(L+i) includes one zero amplitude coefficient and the second weighting coefficient #i is equal to 0.

[0542] As an embodiment, any coefficient group in the L2 coefficient groups includes one amplitude coefficient, one phase coefficient and one subband amplitude coefficient; the L first weighting coefficients and the first L coefficient groups are one-to-one corresponding, any first weighting coefficient in the L first weighting coefficients is equal to the product of the amplitude coefficient, the phase coefficient and the subband amplitude coefficient included in the corresponding coefficient group; the L second weighting coefficients and the last L coefficient groups are one-to-one corresponding, any second weighting coefficient in the L second weighting coefficients is equal to the product of the amplitude coefficient, the phase coefficient and the subband amplitude coefficient included in the corresponding coefficient group.

[0543] As an embodiment, the first parameter set indicates the L.

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

[0545] As an embodiment, the number of the L2 groups of coefficients including the groups of subband amplitude coefficients depends on the first parameter set.

[0546] As an embodiment, the number of the L2 groups of coefficients including the groups of subband amplitude coefficients fixed to 1 depends on the first parameter set.

[0547] As an embodiment, the first parameter set indicates an upper limit of the number of the L2 groups of coefficients including non-fixed subband amplitude coefficients.

[0548] As an embodiment, the first parameter set indicates a range of values of the amplitude coefficients.

[0549] As an embodiment, the first parameter set indicates a range of values of the phase coefficients.

[0550] As an embodiment, the first parameter set indicates a range of values of the subband amplitude coefficients.

[0551] Embodiment 7

[0552] Embodiment 7 illustrates a schematic diagram of the first channel information according to an embodiment of the present application; as shown in FIG. 7. In embodiment 7, the first channel information indicates L vectors, M vectors and L2 groups of coefficients, the L2 equals to the L multiplied by 2; the L vectors, the M vectors and the L2 groups of coefficients are used to determine W precoding matrices, the length of any vector in the M vectors equals to the W; in FIG. 7, the W precoding matrices are denoted as precoding matrix #t (t = 0, …, W-1); precoding matrix #t (t = 0, …, W-1) equals to the concatenation of a first submatrix and a second submatrix, the first submatrix equals to the sum of the L vectors weighted by L first weighting coefficients respectively, the second submatrix equals to the sum of the L vectors weighted by L second weighting coefficients respectively, the L first weighting coefficients depend on the first L groups of coefficients in the L2 groups of coefficients and the M vectors, the L second weighting coefficients depend on the last L groups of coefficients in the L2 groups of coefficients and the M vectors; any group of coefficients in the L2 groups of coefficients includes M groups of coefficients, any group of coefficients in any group of coefficients in the L2 groups of coefficients includes one amplitude coefficient and one phase coefficient.

[0553] In FIG. 7, the L vectors are denoted as vector #i (i = 0 ~ L-1) respectively; the first L coefficient groups of the L2 coefficient groups are denoted as coefficient group #i (i = 0 ~ L-1), the last L coefficient groups of the L2 coefficient groups are denoted as coefficient group #(L+i) (i = 0 ~ L-1); the L first weighting coefficients and the L second weighting coefficients are denoted as first weighting coefficient #i and second weighting coefficient #i (i = 0 ~ L-1) respectively; the M coefficient subgroups in coefficient group #i (i = 0 ~ L-1) are denoted as coefficient subgroup #(i, 0), …, coefficient subgroup #(i, M-1) respectively; the amplitude coefficient and the phase coefficient included in coefficient subgroup #(i, f) (i = 0 ~ L-1, f = 0, …, M-1) are denoted as first amplitude coefficient #(i, f) and first phase coefficient #(i, f) respectively; the M coefficient subgroups in coefficient group #(L+i) (i = 0 ~ L-1) are denoted as coefficient subgroup #(L+i, 0), …, coefficient subgroup #(L+i, M-1) respectively; the amplitude coefficient and the phase coefficient included in coefficient subgroup #(L+i, f) (i = 0 ~ L-1, f = 0, …, M-1) are denoted as second amplitude coefficient #(i, f) and second phase coefficient #(i, f) respectively; the elements in the M vectors are denoted as element #(t, f) (t = 0, …, W-1, f = 0, …, M-1).

[0554] In embodiment 7, element #(0, f), …, element #(W-1, f) constitute a vector in the M vectors, f = 0, …, M-1.

[0555] As an embodiment, the L first weighting coefficients and the first L coefficient groups are in one-to-one correspondence, first weighting coefficient #i (i = 0, …, L-1) corresponds to coefficient group #i; first weighting coefficient #i is equal to the sum of first value #0, …, first value #(M-1) multiplied by third amplitude coefficient, wherein first value #f (f = 0, …, M-1) is equal to the product of first amplitude coefficient #(i, f) and first phase coefficient #(i, f) multiplied by element #(t, f).

[0556] As an embodiment, the L second weighting coefficients and the last L coefficient groups are in one-to-one correspondence, second weighting coefficient #i (i = 0, …, L-1) corresponds to coefficient group #(L+i); second weighting coefficient #i is equal to the sum of second value #0, …, second value #(M-1) multiplied by fourth amplitude coefficient, wherein second value #f (f = 0, …, M-1) is equal to the product of second amplitude coefficient #(i, f) and second phase coefficient #(i, f) multiplied by element #(t, f).

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

[0558] As one embodiment, the third amplitude coefficient and the fourth amplitude coefficient are positive real numbers no greater than 1, respectively.

[0559] As one embodiment, the first channel information indicates a coefficient subgroup in which a strongest coefficient in the L2 groups of coefficients is located, the coefficient subgroup in which the strongest coefficient is located including both amplitude coefficients and phase coefficients equal to 1.

[0560] As one embodiment, the first channel information indicates a coefficient subgroup in the L2 groups of coefficients that includes non-zero coefficients.

[0561] As one embodiment, amplitude coefficients in coefficient subgroups in the L2 groups of coefficients other than the coefficient subgroup that includes non-zero coefficients are all 0.

[0562] As one embodiment, the first parameter set indicates the M.

[0563] As one embodiment, the M depends on the first parameter set.

[0564] As one embodiment, the number of coefficients included in each group of the L2 groups of coefficients depends on the first parameter set.

[0565] As one embodiment, the first parameter set indicates an upper limit on the number of coefficients included in each group of the L2 groups of coefficients.

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

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

[0568] As one embodiment, the non-zero coefficients refer to non-zero amplitude coefficients.

[0569] As one embodiment, the range of values of the amplitude coefficients depends on the first parameter set.

[0570] As one embodiment, the first parameter set indicates the range of values of the amplitude coefficients.

[0571] As one embodiment, the range of values of the phase coefficients depends on the first parameter set.

[0572] As one embodiment, the first parameter set indicates the range of values of the phase coefficients.

[0573] Embodiment 8

[0574] Embodiment 8 illustrates a schematic diagram of the first channel information according to an embodiment of the present application; as shown in FIG. 8. In Embodiment 8, the first channel information indicates L vectors, M vectors, Q vectors and L2 sets of coefficients, the L2 equals to the L multiplied by 2; the L vectors, the M vectors, the Q vectors and the L2 sets of coefficients are used to determine N sets of precoding matrices, the N sets of precoding matrices are respectively for N time intervals; each set of precoding matrices in the N sets of precoding matrices includes W precoding matrices; a length of any vector in the M vectors equals to the W; a length of any vector in the Q vectors equals to the N. In FIG. 8, a precoding matrix in the N sets of precoding matrices is denoted as precoding matrix # (i, t) (i = 0, …, N-1, t = 0, …, W-1); precoding matrix # (i, t) (i = 0, …, N-1, t = 0, …, W-1) equals to a concatenation of a first sub-matrix and a second sub-matrix, the first sub-matrix equals to a sum of the L vectors weighted by L first weighting coefficients respectively, the second sub-matrix equals to a sum of the L vectors weighted by L second weighting coefficients respectively, the L first weighting coefficients depend on a first L sets of coefficient sets in the L2 sets of coefficient sets, the M vectors and the Q vectors, the L second weighting coefficients depend on a second L sets of coefficient sets in the L2 sets of coefficient sets, the M vectors and the Q vectors; any set of coefficients in the L2 sets of coefficient sets includes M sub-sets of coefficients, any sub-set of coefficients in any set of coefficients in the L2 sets of coefficient sets includes Q amplitude coefficients and Q phase coefficients.

[0575] In FIG. 8, the L vectors are denoted as vector #i (i = 0 ~ L-l) respectively; the first L coefficient groups of the L2 coefficient groups are denoted as coefficient group #i (i = 0 ~ L-l), the last L coefficient groups of the L2 coefficient groups are denoted as coefficient group #(L+i) (i = 0 ~ L-l); the L first weighting coefficients and the L second weighting coefficients are denoted as first weighting coefficient #i and second weighting coefficient #i (i = 0 ~ L-l) respectively; the M coefficient subgroups in coefficient group #i (i = 0 ~ L-l) are denoted as coefficient subgroup #(i, 0),..., coefficient subgroup #(i, M-l), coefficient subgroup #(i, f) (i = 0 ~ L-l, f = 0,..., M-l) includes Q amplitude coefficients / Q phase coefficients which are denoted as first amplitude coefficient #(i, f, 0) / first phase coefficient #(i, f, 0),..., first amplitude coefficient #(i, f, Q-l) / first phase coefficient #(i, f, Q-l); the M coefficient subgroups in coefficient group #(L+i) (i = 0 ~ L-l) are denoted as coefficient subgroup #(L+i, 0),..., coefficient subgroup #(L+i, M-l), coefficient subgroup #(L+i, f) (i = 0 ~ L-l, f = 0,..., M-l) includes Q amplitude coefficients / Q phase coefficients which are denoted as second amplitude coefficient #(i, f, 0) / second phase coefficient #(i, f, 0),..., second amplitude coefficient #(i, f, Q-l) / second phase coefficient #(i, f, Q-l); the elements in the M vectors are denoted as first element #(t, f) (t = 0,..., W-l, f = 0,..., M-l), the elements in the Q vectors are denoted as second element #(i, t) (i = 0,..., N-l, t = 0,..., Q-l).

[0576] In embodiment 8, first element #(0, f),..., first element #(W-l, f) constitute one of the M vectors, where f = 0,..., M-l; second element #(0, t),..., second element #(N-l, t) constitute one of the Q vectors, where t = 0,..., Q-l.

[0577] As an embodiment, the L first weighting coefficients and the first L coefficient groups correspond to each other one by one, first weighting coefficient #i (i = 0,..., L-l) corresponds to coefficient group #i; first weighting coefficient #i is equal to the sum of first value #0,..., first value #(M-l) multiplied by third amplitude coefficient, first value #f (f = 0,..., M-l) is equal to the product of the sum of third value #0,..., third value #(Q-l) and first element #(t, f), third value #t (t = 0,..., Q-l) is equal to the product of first amplitude coefficient #(i, f, t) and first phase coefficient #(i, f, t) multiplied by second element #(i, t).

[0578] As one embodiment, the L second weighting coefficients and the L2 groups of coefficients are one-to-one corresponding, 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 numerical values #0, …, the second numerical value #(M-1) multiplied by the fourth amplitude coefficient, wherein the second numerical value #f (f = 0, …, M-1) is equal to the product of the sum of the fourth numerical values #0, …, the fourth numerical value #(Q-1) and the first element #(t,f), and the fourth numerical 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 #(i,τ).

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

[0580] As one embodiment, the third amplitude coefficient and the fourth amplitude coefficient are respectively positive real numbers not greater than 1.

[0581] As one embodiment, the first parameter set indicates the Q.

[0582] As one embodiment, the Q depends on the first parameter set.

[0583] As one embodiment, the N time slot intervals depend on the first parameter set.

[0584] As one embodiment, the N depends on the first parameter set.

[0585] As one embodiment, the first parameter set indicates the N.

[0586] As one embodiment, the lengths of any two time slot intervals in the N time slot intervals are equal.

[0587] As one embodiment, the length of any time slot interval in the N time slot intervals depends on the first parameter set.

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

[0589] As one embodiment, the first channel information indicates a coefficient subgroup to which a strongest coefficient in the L2 groups of coefficients belongs and a position of the strongest coefficient in the coefficient subgroup, and the amplitude coefficient and the phase coefficient at the position in the coefficient subgroup to which the strongest coefficient belongs are both equal to 1.

[0590] As an embodiment, the first channel information indicates a coefficient subgroup in the L2 coefficient groups that includes non-zero coefficients and a position of the non-zero coefficients in the coefficient subgroup.

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

[0592] As an embodiment, the amplitude coefficients in the coefficient subgroups in the L2 coefficient groups other than the coefficient subgroup that includes non-zero coefficients are all 0.

[0593] As an embodiment, the amplitude coefficients in the coefficient subgroup in the L2 coefficient groups that includes non-zero coefficients are all 0 other than the positions of the non-zero coefficients.

[0594] As an embodiment, the non-zero coefficients refer to non-zero amplitude coefficients.

[0595] As an embodiment, the position refers to a position of a coefficient in a coefficient subgroup.

[0596] As an embodiment, the first parameter set indicates a value range of the amplitude coefficients.

[0597] As an embodiment, the first parameter set indicates a value range of the phase coefficients.

[0598] Embodiment 9

[0599] Embodiment 9 illustrates a schematic diagram of the first channel information for a first time-frequency resource according to an embodiment of the present application; as shown in FIG. 9.

[0600] As an embodiment, the first channel information for the first time-frequency resource includes that the first channel information is related to the first time-frequency resource.

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

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

[0603] As an embodiment, the definition of the CSI reference resource refers to 3GPP TS 38.214.

[0604] As one embodiment, the first channel information comprises, for a first time-frequency resource, that channel measurements used to compute the first channel information are obtained from RSs located within the first time-frequency resource.

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

[0606] As one embodiment, the first channel information comprises, for a first time-frequency resource, that 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 respectively for a plurality of time-frequency resources, the first time-frequency resource comprising the plurality of time-frequency resources.

[0608] As one embodiment, the first time-frequency resource comprises a contiguous time period in time domain.

[0609] As one embodiment, the first time-frequency resource comprises a contiguous time period expressed as s, ms or μs in time domain.

[0610] As one embodiment, the first time-frequency resource comprises a positive integer number of symbols in time domain.

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

[0612] As one embodiment, the symbol is obtained after OFDM symbol generation from an output of a transform precoder.

[0613] As one embodiment, the symbol comprises a prefix.

[0614] As one embodiment, the first time-frequency resource comprises a positive integer number of slots in time domain.

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

[0616] As one embodiment, the first time-frequency resource comprises a contiguous frequency domain resource in frequency domain.

[0617] As one embodiment, the first time-frequency resource comprises a contiguous frequency domain resource expressed as Hz, kHz or MHz in frequency domain.

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

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

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

[0621] As one embodiment, one sub-band comprises a plurality of consecutive RBs.

[0622] As one embodiment, the sub-band comprises a CQI sub-band.

[0623] As one embodiment, the sub-band refers to a CQI sub-band.

[0624] As one embodiment, except for the sub-band located at the edge of the BWP, the number of RBs comprised by other sub-bands increases with the increase of the BWP bandwidth.

[0625] As one embodiment, except for the sub-band located at the edge of the BWP (Bandwidth part), the number of RBs comprised by any sub-band is P0, which is a positive integer greater than 1.

[0626] As one embodiment, the P0 is indicated by higher layer signaling.

[0627] As one sub-embodiment of the above embodiment, the P0 is indicated by a higher layer parameter with the name subbandSize.

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

[0629] As one embodiment, the P0 is related to the number of RBs comprised in the BWP.

[0630] As one embodiment, the number of RBs comprised by the starting sub-band in one BWP is P0 – (Ns mod P0); the number of RBs comprised by the last sub-band in one BWP is (Ns + Nw) mod P0 or P0, where Ns is the index of the starting RB in the one BWP, and Nw is the number of RBs comprised by the BWP.

[0631] As one embodiment, the subcarrier spacing corresponding to one RB or one sub-band is fixed.

[0632] As one embodiment, a subcarrier spacing of one RB or one subband varies with the frequency range it belongs to.

[0633] As one embodiment, the RB comprises a PRB (Physical resource block).

[0634] As one embodiment, the first time-frequency resource comprises the W1 subbands in frequency domain.

[0635] As one embodiment, the first time-frequency resource comprises the W PMI subbands in frequency domain.

[0636] As one embodiment, the first time-frequency resource comprises the N time slot intervals in time domain.

[0637] As one embodiment, the first node obtains channel measurements for computing the first channel information based only on RS of the at least first RS resource that are within the first time-frequency resource.

[0638] As one embodiment, the first node obtains channel measurements for computing the first channel information based only on RS of the at least first RS resource that are no later than the first time-frequency resource in time domain and within the first time-frequency resource in frequency domain.

[0639] Embodiment 10

[0640] Embodiment 10 illustrates a diagram of first channel information depending on measurements on at least first RS resource according to one embodiment of the application; as shown in FIG. 10. In FIG. 10, the small dot filled, diagonal line filled, cross line filled and horizontal line filled boxes all represent RS transmitted in the at least first RS resource, and the solid line box represents the first time-frequency resource.

[0641] As one embodiment, the first node obtains channel measurements for computing the first channel information based only on RS of the at least first RS resource that are within the first time-frequency resource (diagonal line filled boxes in FIG. 10).

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

[0643] As one embodiment, the first node obtains channel measurements for computing the first channel information based only on transmission occasions of the at least first RS resource that are within the first time-frequency resource in time domain.

[0644] As one embodiment, the first node obtains channel measurements for computing the first channel information based on only RSs of the at least first RS resource that are within the first time-frequency resource in the frequency domain.

[0645] As one embodiment, the first RS resource comprises a part within the first time-frequency resource and a part outside the first time-frequency resource in the frequency domain, and the first node obtains channel measurements for computing the first channel information based on only RSs of the first RS resource that are within the first time-frequency resource in the frequency domain.

[0646] As one sub-embodiment of the above embodiment, the first node obtains channel measurements for computing the first channel information based on only RSs of the at least first RS resource that are within the first time-frequency resource in the time domain.

[0647] As one sub-embodiment of the above embodiment, the hatched, cross-hatched, horizontally hatched and small dot-filled boxes in FIG. 10 are RSs transmitted in the first RS resource, and only the hatched boxes in FIG. 10 are used to obtain channel measurements for computing the first channel information.

[0648] As one embodiment, the at least first RS resource comprises a plurality of RS resources, only a part of the plurality of RS resources are within the first time-frequency resource in the frequency domain, and the first node obtains channel measurements for computing the first channel information based on only the part of the RS resources.

[0649] As one sub-embodiment of the above embodiment, the first node obtains channel measurements for computing the first channel information based on only transmission occasions of the part of the RS resources that are within the first time-frequency resource in the time domain.

[0650] As one sub-embodiment of the above embodiment, the hatched, cross-hatched and horizontally hatched boxes in FIG. 10 are RSs transmitted in the part of the RS resources; and the small dot-filled boxes in FIG. 10 are RSs transmitted in RS resources other than the part of the RS resources among the plurality of RS resources.

[0651] As one embodiment, the first node obtains channel measurements for computing the first channel information based on only RSs of the at least first RS resource that are within the first time-frequency resource in the frequency domain and are not later than the start time of the first time-frequency resource in the time domain.

[0652] As a sub-embodiment of the above embodiment, none of the hatched, cross-hatched, and small dot-filled boxes in FIG. 10 are used to obtain channel measurements for computing the first channel information.

[0653] The benefits of the above method include higher flexibility at the UE side, support of time-domain filtering, and shorter feedback delay.

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

[0655] As an embodiment, the at least first RS resource includes a plurality of RS resources, only a portion of the plurality of RS resources are within the frequency domain of the first time-frequency resource, and the first node obtains channel measurements for computing the first channel information based on only transmission occasions of the portion of RS resources that are no later than an end time of the first time-frequency resource in the time domain.

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

[0657] As a sub-embodiment of the above embodiment, none of the cross-hatched and small dot-filled boxes in FIG. 10 are used to obtain channel measurements for computing the first channel information.

[0658] The benefits of the above method include higher flexibility at the UE side, support of time-domain filtering, and higher accuracy.

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

[0660] As an embodiment, the at least first RS resource includes a plurality of RS resources, only a portion of the plurality of RS resources are within the frequency domain of the first time-frequency resource, and the first node obtains channel measurements for computing the first channel information based on only transmission occasions of the portion of RS resources that are no later than an end time of the first time-frequency resource in the time domain.

[0661] Embodiment 11

[0662] Embodiment 11 illustrates a diagram of a first parameter set depending on a first time-frequency resource according to an embodiment of the application; as shown in FIG. 11.

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

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

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

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

[0667] As an embodiment, the first node determines the first parameter set by itself.

[0668] Generally, how the first node determines the first parameter set is determined by the hardware device manufacturer, and some non-limiting embodiments are introduced as follows:

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

[0670] As an embodiment, the first node determines the first parameter set according to channel characteristics within the first time-frequency resource.

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

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

[0673] As an embodiment, the channel characteristics include the number of multipaths.

[0674] As an embodiment, the channel characteristics include the number of multipaths whose contributions are greater than a threshold.

[0675] As an embodiment, the channel characteristics include channel impulse response.

[0676] As one embodiment, the channel characteristics comprise small scale characteristics.

[0677] As one embodiment, the channel characteristics comprise a channel matrix.

[0678] As one embodiment, the channel characteristics comprise a number of eigenvectors of a channel matrix.

[0679] As one embodiment, the channel characteristics comprise a number of eigenvectors of a channel matrix whose corresponding eigenvalues are greater than a threshold.

[0680] As one embodiment, the channel characteristics comprise a projection of a channel matrix onto a basis matrix.

[0681] As one embodiment, one basis matrix is a full rank matrix.

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

[0683] As one embodiment, the first node determines all parameters in the first set of parameters by itself.

[0684] As one embodiment, the first node determines part of the parameters in the first set of parameters by itself and uses parameters in a reference set of parameters as another part of the parameters in the first set of parameters.

[0685] As one embodiment, the first node determines the first set of parameters based on measurements of RSs in the first time-frequency resource.

[0686] As one embodiment, the first node determines the first set of parameters based on measurements of RSs.

[0687] As one embodiment, the first node determines the first set of parameters based on measurements of RSs in the first time-frequency resource.

[0688] As one embodiment, the first node determines the first set of parameters based on an indication from a network side and measurements of RSs.

[0689] As one embodiment, the first node determines the first set of parameters based on an indication from a network side and measurements of RSs in the first time-frequency resource.

[0690] As one embodiment, the first time-frequency resource belongs to a first time-frequency resource pool, and the first node determines the first set of parameters based on measurements of RSs in the first time-frequency resource pool.

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

[0692] As one embodiment, the first node determines the first set of parameters according to a speed at which a channel within the first time-frequency resource or the first time-frequency resource pool varies in time domain, frequency domain and / or spatial domain.

[0693] As one embodiment, the first channel information is used to determine one precoding matrix, and the faster the channel within the first time-frequency resource or the first time-frequency resource pool varies in time domain or frequency domain, the smaller the first set of parameters indicates a time domain length or a frequency domain length of one time-frequency resource.

[0694] As one embodiment, the faster the channel within the first time-frequency resource or the first time-frequency resource pool varies in frequency domain, the larger the first set of parameters indicates the W.

[0695] As one embodiment, the faster the channel within the first time-frequency resource or the first time-frequency resource pool varies in frequency domain, the smaller the first set of parameters indicates a number of RBs included in each of the W PMI subbands.

[0696] As one embodiment, the faster the channel within the first time-frequency resource or the first time-frequency resource pool varies in time domain, the smaller the first set of parameters indicates the N.

[0697] As one embodiment, the faster the channel within the first time-frequency resource or the first time-frequency resource pool varies in time domain, the smaller the first set of parameters indicates a length of each of the N time slot intervals.

[0698] As one embodiment, the first node determines the first set of parameters according to a number of spatial domain reflection paths of the channel within the first time-frequency resource or the first time-frequency resource pool.

[0699] As one embodiment, the larger the number of spatial domain reflection paths of the channel within the first time-frequency resource or the first time-frequency resource pool, the larger the first set of parameters indicates the L.

[0700] As one embodiment, the first node obtains a channel characteristic of the channel within the first time-frequency resource or the first time-frequency resource pool by measurement, and determines the first set of parameters according to the channel characteristic.

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

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

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

[0704] As one embodiment, the first node determines the first parameter set according to a moving speed.

[0705] As one embodiment, the first node determines the first parameter set according to a received beam or TCI indication.

[0706] As one embodiment, the first node determines the first parameter set according to an update speed of a beam or TCI.

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

[0708] As one embodiment, the first node sequentially selects a plurality of 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 indicates an increase or decrease of part or all of parameters in a parameter set, and the first node accumulates indications of the plurality of information blocks to determine the first parameter set.

[0710] As one sub-embodiment of the above embodiment, the first node accumulates indications of the plurality of information blocks based on an initial parameter set to determine the first parameter set.

[0711] Embodiment 12

[0712] Embodiment 12 illustrates a diagram of a first information block indicating a first time-frequency resource according to one embodiment of the present application; as shown in FIG. 12.

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

[0714] As one embodiment, the first information block indicates a starting time and an ending time of the first time-frequency resource.

[0715] As one embodiment, the first information block indicates a starting time and a time domain length of the first time-frequency resource.

[0716] As one embodiment, the first information block indicates a lowest frequency point and a highest frequency point of the first time-frequency resource.

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

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

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

[0720] As one sub-embodiment of the above embodiment, the other information includes, but is not limited to, one or more of channel environment type, moving speed, subcarrier spacing, delay spread, Doppler spread, Doppler shift, average delay, and spatial receive parameter.

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

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

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

[0724] As one sub-embodiment of the above embodiment, the first information block indicates the time domain length of the one time-frequency resource by indicating a starting time or an ending time of at least one other time-frequency resource.

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

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

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

[0728] As an embodiment, the first node determines the first time-frequency resource by itself.

[0729] The benefits of the above-mentioned method include giving the first node sufficient freedom to determine the time-frequency resource to which the first channel information is directed according to the actual situation of the channel, optimizing the reporting.

[0730] In general, how the first node determines the first time-frequency resource is determined by the hardware device manufacturer, and some non-limiting embodiments are introduced below:

[0731] As an embodiment, the first node determines the first time-frequency resource according to the measurement of the RS.

[0732] As an embodiment, the first node determines the first time-frequency resource based on the indication from the network side and the measurement of the RS.

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

[0734] As an embodiment, the first node selects the first time-frequency resource so that the change of the channel within the first time-frequency resource is less than a threshold.

[0735] As an embodiment, the first node determines the first time-frequency resource according to the channel characteristics obtained by measurement.

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

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

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

[0739] As an embodiment, the first node selects the first time-frequency resource so that any of the at least first RS resource and the first RS resource with the same number of ports is located within the first time-frequency resource in the frequency domain.

[0740] As one embodiment, the first node selects the first time-frequency resource such that the first time-frequency resource does not include a sub-band satisfying a first condition if each port per RB frequency domain density of the first RS resource on one sub-band satisfying the first condition is less than a density at which the first RS resource is configured.

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

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

[0743] As one embodiment, the first node determines the first time-frequency resource according to a moving speed.

[0744] As one embodiment, the first node determines the first time-frequency resource according to a received beam update or TCI update speed.

[0745] As one embodiment, the first node randomly partitions a time-frequency range to obtain a plurality of time-frequency resources, the first time-frequency resource being one of the plurality of time-frequency resources.

[0746] Embodiment 13

[0747] Embodiment 13 illustrates a diagram of K1 channel information respectively for K1 time-frequency resources according to one embodiment of the present application; as shown in FIG. 13. In embodiment 13, the at least first channel information includes K1 channel information, the first channel information being one of the K1 channel information; the K1 channel information respectively for K1 time-frequency resources. In FIG. 13, the K1 channel information are respectively denoted as channel information #0, …, channel information #(K1-1); the K1 time-frequency resources are respectively denoted as time-frequency resource #0, …, time-frequency resource #(K1-1); channel information #i is for time-frequency resource #i, i = 0, …, K1-1.

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

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

[0750] As one embodiment, the first time-frequency resource is the time-frequency resource for which the first channel information is.

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

[0752] As an embodiment, any two of the K1 channel information relies on the measurement in different transmission occasions of the at least first RS resource.

[0753] As an embodiment, any two of the K1 channel information relies on the measurement on RSs of the at least first RS resource that are orthogonal in frequency domain.

[0754] As an embodiment, any two of the K1 channel information relies on the measurement on the same one or more RS resources of the at least first RS resource.

[0755] As an embodiment, there are two of the K1 channel information relying on the measurement on different RS resources of the at least first RS resource.

[0756] As an embodiment, any two of the K1 channel information relies on the measurement on different RS resources of the at least first RS resource.

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

[0758] As an embodiment, any of the K1 channel information comprises CSI.

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

[0760] As an embodiment, any of the K1 channel information comprises PMI.

[0761] As an embodiment, any of the K1 channel information comprises PMI and RI.

[0762] As an embodiment, any of the K1 channel information comprises PMI, RI and CQI.

[0763] As an embodiment, any of the K1 channel information comprises precoding matrix.

[0764] As an embodiment, any of the K1 channel information comprises precoding information.

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

[0766] As a preferred embodiment, any of the K1 pieces of channel information comprises a codebook-based PMI.

[0767] As a sub-embodiment of the above-mentioned embodiment, the codebook is a codebook supported by 3GPP R18 or earlier releases.

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

[0769] As an embodiment, the K1 pieces of channel information respectively relate to the K1 time-frequency resources.

[0770] As an embodiment, the K1 pieces of channel information are respectively reported for the K1 time-frequency resources.

[0771] As an embodiment, the CSI reference resources of the K1 pieces of channel information are respectively the K1 time-frequency resources.

[0772] As an embodiment, the channel measurements used to compute the K1 pieces of channel information are respectively obtained from RSs located within the K1 time-frequency resources.

[0773] As an embodiment, the K1 pieces of channel information respectively reflect channel states within the K1 time-frequency resources.

[0774] As an embodiment, the K1 pieces of channel information are respectively valid within the K1 time-frequency resources.

[0775] Embodiment 14

[0776] Embodiment 14 illustrates a diagram of K1 time-frequency resources belonging to a first time-frequency resource pool according to an embodiment of the present application; as shown in FIG. 14. In FIG. 14, the K1 time-frequency resources are respectively denoted as time-frequency resource #0, …, time-frequency resource #(K1-1).

[0777] As a preferred embodiment, the K1 time-frequency resources are pairwise orthogonal to each other.

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

[0779] As an embodiment, any of the K1 time-frequency resources comprises a continuous time period denoted as s, ms or μs in time domain.

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

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

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

[0783] As one embodiment, any of the K1 time-frequency resources comprises one continuous frequency domain resource in frequency domain.

[0784] As one embodiment, any of the K1 time-frequency resources comprises one continuous frequency domain resource expressed in Hz, kHz or MHz in frequency domain.

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

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

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

[0788] As one embodiment, the K1 time-frequency resources are orthogonal to each other in time domain pairwise, as shown in FIG. 14(a).

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

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

[0791] As one embodiment, the K1 time-frequency resources are orthogonal to each other in frequency domain pairwise, as shown in FIG. 14(b).

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

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

[0794] As one embodiment, there are two time-frequency resources in the K1 time-frequency resources that are orthogonal in time domain, and there are also two time-frequency resources that are orthogonal in frequency domain.

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

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

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

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

[0799] As an embodiment, the time-domain interval between two time-frequency resources refers to the interval between the ending time of the former one of the two time-frequency resources and the starting time of the latter one of the two time-frequency resources.

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

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

[0802] As an embodiment, the frequency-domain interval between two time-frequency resources refers to the interval between the highest frequency point of the one of the two time-frequency resources that is lower in the frequency domain and the lowest frequency point of the one of the two time-frequency resources that is higher in the frequency domain.

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

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

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

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

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

[0808] As an embodiment, 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 comprises one continuous frequency domain resource expressed as Hz, kHz or MHz in frequency domain.

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

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

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

[0813] As one embodiment, 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 one sub-embodiment of the above embodiment, the first time-frequency resource and the first time-frequency resource pool have the same frequency domain resources.

[0815] As one embodiment, 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 one sub-embodiment of the above embodiment, the first time-frequency resource and the first time-frequency resource pool have the same time domain resources.

[0817] As one embodiment, 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 one embodiment, the first information block explicitly indicates the first time-frequency resource pool.

[0819] As one embodiment, the first information block indicates the start time and end time of the first time-frequency resource pool.

[0820] As one embodiment, the first information block indicates the start time and time domain length of the first time-frequency resource pool.

[0821] As one embodiment, the first information block indicates the lowest frequency point and highest frequency point of the first time-frequency resource pool.

[0822] As one embodiment, the first information block indicates the lowest frequency point and frequency domain length of the first time-frequency resource pool.

[0823] As one embodiment, the first information block indicates the start time and lowest frequency point of the first time-frequency resource pool.

[0824] As an embodiment, the first information block indicates a time domain length and a frequency domain length of the first time-frequency resource pool.

[0825] As an embodiment, the first information block implicitly indicates the first time-frequency resource pool.

[0826] As an embodiment, the first information block indicates the first time-frequency resource pool by indicating other information.

[0827] As a sub-embodiment of the above embodiment, the other information includes but is not limited to one or more of channel environment type, moving speed, subcarrier spacing, delay spread, Doppler spread, Doppler shift, average delay, and spatial reception parameter.

[0828] As an embodiment, the first information block explicitly indicates a time domain length of the first time-frequency resource pool.

[0829] As an embodiment, the first information block implicitly indicates a time domain length of the first time-frequency resource pool.

[0830] As an embodiment, the first information block indicates a time domain length of the first time-frequency resource pool by indicating a starting time or an ending time of at least one other time-frequency resource pool.

[0831] As an embodiment, the first information block explicitly indicates a frequency domain length of the first time-frequency resource pool.

[0832] As an embodiment, the first information block implicitly indicates a frequency domain length of the first time-frequency resource pool.

[0833] As an embodiment, the first information block indicates a frequency domain length of the first time-frequency resource pool by indicating a lowest frequency point or a highest frequency point of at least one other time-frequency resource pool.

[0834] As an embodiment, the first node determines the first time-frequency resource pool by itself.

[0835] The benefits of the above method include giving the first node sufficient freedom to determine the first time-frequency resource pool according to the actual situation of the channel, optimizing the reporting.

[0836] In general, how the first node determines the first time-frequency resource pool is determined by the hardware device manufacturer, and some non-limiting embodiments are introduced as follows:

[0837] As an embodiment, the first node determines the first time-frequency resource pool according to the measurement of RS.

[0838] As one embodiment, the first node determines the first time-frequency resource pool based on an indication from a network side and measurements on RSs.

[0839] As one embodiment, the first node determines the first time-frequency resource pool according to a speed of variation of a channel in time domain and / or frequency domain.

[0840] As one embodiment, the first node determines the first time-frequency resource pool according to a speed of variation of a channel in time domain and / or frequency domain.

[0841] As one embodiment, the first node determines the first time-frequency resource pool according to a speed of variation of a channel in time domain and / or frequency domain.

[0842] As one embodiment, the first node determines the first time-frequency resource pool according to a speed of variation of a channel in time domain and / or frequency domain.

[0843] As one embodiment, the first node determines the first time-frequency resource pool according to a speed of variation of a channel in time domain and / or frequency domain.

[0844] As one embodiment, the first node determines the first time-frequency resource pool according to a speed of variation of a channel in time domain and / or frequency domain.

[0845] As one embodiment, the first node determines the first time-frequency resource pool according to a speed of variation of a channel in time domain and / or frequency domain.

[0846] As one embodiment, the first node determines the first time-frequency resource pool according to a speed of variation of a channel in time domain and / or frequency domain.

[0847] As one embodiment, the first node determines the first time-frequency resource pool according to a speed of variation of a channel in time domain and / or frequency domain.

[0848] As one embodiment, the first node determines the first time-frequency resource pool according to a speed of variation of a channel in time domain and / or frequency domain.

[0849] As one embodiment, the first node determines the first time-frequency resource pool according to a speed of variation of a channel in time domain and / or frequency domain.

[0850] As a subembodiment of the above embodiment, the first node accumulates indications of the plurality of information blocks on a basis of an initial time-frequency resource pool to determine the first time-frequency resource pool.

[0851] Embodiment 15

[0852] Embodiment 15 illustrates a diagram of a first parameter set being used to generate K1 channel information according to an embodiment of the application; as shown in FIG. 15.

[0853] As an embodiment, the first parameter set is used to generate each of the K1 channel information.

[0854] As an embodiment, a number of bits included in any of the K1 channel information depends on the first parameter set.

[0855] As an embodiment, a size of any of the K1 channel information depends on the first parameter set.

[0856] As an embodiment, a payload size of any of the K1 channel information depends on the first parameter set.

[0857] As an embodiment, an accuracy of any of the K1 channel information depends on the first parameter set.

[0858] As an embodiment, any of the K1 channel information indicates a plurality of vectors and a plurality of coefficients.

[0859] As a subembodiment of the above embodiment, generation of the plurality of vectors and the plurality of coefficients depends on the first parameter set.

[0860] As a subembodiment of the above embodiment, the plurality of vectors and the plurality of coefficients are used to generate at least one precoding matrix.

[0861] As a subembodiment of the above embodiment, a number of vectors indicated by any of the K1 channel information depends on the first parameter set.

[0862] As a subembodiment of the above embodiment, a number of coefficients indicated by any of the K1 channel information depends on the first parameter set.

[0863] As a subembodiment of the above embodiment, a number of non-fixed value coefficients 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 which the time-frequency resources are 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 corresponding 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 Figure 16.

[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 sending of the second channel information is earlier than the sending of the first channel information.

[0878] As one embodiment, the sending of the second channel information is later than the sending of the first channel information.

[0879] As one embodiment, the second channel information and the first channel information are for the same CSI reporting configuration.

[0880] The benefits of the above method include allowing different sets of parameters to be used for different CSI reports generated for the same CSI reporting configuration according to actual channel environment, better flexibility, and saving configuration signaling overhead.

[0881] As one embodiment, the second channel information includes CSI.

[0882] As one embodiment, 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 embodiment, the second channel information includes PMI.

[0884] As one embodiment, the second channel information includes PMI and RI.

[0885] As one embodiment, the second channel information includes PMI, RI and CQI.

[0886] As one embodiment, the second channel information includes precoding matrix.

[0887] As one embodiment, the second channel information includes precoding information.

[0888] As one 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] As one preferred embodiment, the second channel information includes codebook-based PMI.

[0891] As one sub-embodiment of the embodiment, the codebook is a codebook supported by 3GPP R18 or earlier releases.

[0892] As one sub-embodiment of the embodiment, the codebook is Type II codebook.

[0893] As a preferred embodiment, the second channel information and the first channel information both comprise a PMI.

[0894] As a sub-embodiment of the embodiment, the codebook is a codebook supported by 3GPP R18 or earlier releases.

[0895] As a sub-embodiment of the embodiment, the codebook is a Type II codebook.

[0896] As an embodiment, the second channel information depends on the measurement on each of the at least first RS resources.

[0897] As an embodiment, the second channel information depends on the measurement on each of the at least first RS resources.

[0898] As an embodiment, the second channel information depends on the measurement on only part of the at least first RS resources.

[0899] As an embodiment, the first node obtains channel measurements for computing the second channel information based on each of the at least first RS resources.

[0900] As an embodiment, the first node obtains channel measurements for computing the second channel information based on only part of the at least first RS resources.

[0901] As an embodiment, the first channel information and the second channel information depend on the measurement on the same one or more RS resources of the at least first RS resources.

[0902] As an embodiment, the first channel information and the second channel information depend on the measurement on different transmission occasions of the same one or more RS resources of the at least first RS resources.

[0903] As an embodiment, the first channel information and the second channel information depend on the measurement on RSs that are orthogonal in frequency domain of the same one or more RS resources of the at least first RS resources.

[0904] As an embodiment, the first channel information and the second channel information depend on the measurement on different RS resources of the at least first RS resources.

[0905] As an embodiment, the first node obtains channel measurements for computing the second channel information based on only transmission occasions of the at least first RS resources that belong to the second time-frequency resources.

[0906] As one embodiment, the first node obtains channel measurements for computing the second channel information based on only RSs of the at least first RS resources that are within the second time-frequency resource in frequency domain.

[0907] As one embodiment, the first node obtains channel measurements for computing the second channel information based on only RSs of the at least first RS resources that are within the second time-frequency resource in frequency domain.

[0908] As one embodiment, the first node obtains channel measurements for computing the second channel information based on only RSs of the at least first RS resources that are within the second time-frequency resource in frequency domain.

[0909] As one embodiment, the first node obtains channel measurements for computing the second channel information based on only RSs of the at least first RS resources that are within the second time-frequency resource in frequency domain.

[0910] As one embodiment, the first node obtains channel measurements for computing the second channel information based on only RSs of the at least first RS resources that are within the second time-frequency resource in frequency domain.

[0911] As one embodiment, the at least first RS resources comprise a plurality of RS resources, only some of the plurality of RS resources are within the second time-frequency resource in frequency domain, and the first node obtains channel measurements for computing the second channel information based on only transmission occasions of the some RS resources that are within the second time-frequency resource in time domain.

[0912] As one embodiment, the at least first RS resources comprise a plurality of RS resources, only some of the plurality of RS resources are within the second time-frequency resource in frequency domain, and the first node obtains channel measurements for computing the second channel information based on only transmission occasions of the some RS resources that are not later than the second time-frequency resource in time domain.

[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 on the second time-frequency resource.

[0915] As one embodiment, a CSI reference resource of the second channel information is the second time-frequency resource.

[0916] As one embodiment, the channel measurement used to compute the second channel information is obtained from a RS located within the second time-frequency resource.

[0917] As one embodiment, the second channel information reflects a channel state within the second time-frequency resource.

[0918] As one embodiment, 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 respectively for a plurality of time-frequency resources, the second time-frequency resource comprising the plurality of time-frequency resources.

[0920] As one embodiment, the second time-frequency resource comprises one contiguous time period in time domain.

[0921] As one embodiment, the second time-frequency resource comprises one contiguous time period expressed as s, ms or μs in time domain.

[0922] As one embodiment, the second time-frequency resource comprises a positive integer number of symbols in time domain.

[0923] As one embodiment, the second time-frequency resource comprises a positive integer number of slots in time domain.

[0924] As one embodiment, the second time-frequency resource comprises a positive integer number of frames or sub-frames in time domain.

[0925] As one embodiment, the second time-frequency resource comprises one contiguous frequency domain resource in frequency domain.

[0926] As one embodiment, the second time-frequency resource comprises one contiguous frequency domain resource expressed as Hz, kHz or MHz in frequency domain.

[0927] As one embodiment, the second time-frequency resource comprises a positive integer number of subcarriers in frequency domain.

[0928] As one embodiment, the second time-frequency resource comprises a positive integer number of RBs in frequency domain.

[0929] As one embodiment, the second time-frequency resource comprises a positive integer number of sub-bands in frequency domain.

[0930] As one 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 time domain.

[0932] As a sub-embodiment of the above embodiment, the second time-frequency resource and the first time-frequency resource have the same frequency domain resource.

[0933] As an embodiment, the second time-frequency resource and the first time-frequency resource are orthogonal to each other in frequency domain.

[0934] As a sub-embodiment of the above embodiment, the second time-frequency resource and the first time-frequency resource have the same time domain resource.

[0935] As an embodiment, the second time-frequency resource and the first time-frequency resource are orthogonal to each other in time domain, and also orthogonal to each other in frequency domain.

[0936] Embodiment 17

[0937] Embodiment 17 illustrates a diagram of a first time-frequency resource and a second time-frequency resource according to an embodiment of the present application; as shown in FIG. 17. In embodiment 17, the first time-frequency resource and the second time-frequency resource are orthogonal to each other in time-frequency domain. In FIG. 17, the small dot filled, diagonal line filled, cross line filled and horizontal line filled boxes all represent RSs transmitted in the at least first RS resource, and the two solid line boxes represent the first time-frequency resource and the second time-frequency resource respectively.

[0938] As an embodiment, the first node obtains channel measurements for calculating the first channel information based on only RSs (e.g. the cross line filled box in FIG. 17) of the at least first RS resource located within the first time-frequency resource, and obtains channel measurements for calculating the second channel information based on only RSs (e.g. the diagonal line filled box in FIG. 17) of the at least first RS resource located within the second time-frequency resource.

[0939] The benefits of the above method include more accurate channel information.

[0940] As an embodiment, the at least first RS resource comprises a plurality of RS resources, a part of the plurality of RS resources (e.g. the cross line and horizontal line filled boxes in FIG. 17(b)) are located within the first time-frequency resource in frequency domain, another part of the plurality of RS resources (e.g. the diagonal line and small dot filled boxes in FIG. 17(b)) are located within the second time-frequency resource in frequency domain, the first node obtains channel measurements for calculating the first channel information based on only the part of the RS resources, and obtains channel measurements for calculating the second channel information based on only the other part of the RS resources.

[0941] As a sub-embodiment of the above embodiment, the first node obtains channel measurements for computing the first channel information based on only the transmission occasions of the first part of RS resources that are within the first time-frequency resource in time domain (e.g. the cross-hatched boxes in Figure 17(b)).

[0942] As a sub-embodiment of the above embodiment, the first node obtains channel measurements for computing the second channel information based on only the transmission occasions of the second part of RS resources that are within the second time-frequency resource in time domain (e.g. the diagonally hatched boxes in Figure 17(b)).

[0943] As a sub-embodiment of the above embodiment, the first node obtains channel measurements for computing the first channel information based on only the RS of the first RS resources that are within the first time-frequency resource in time domain

[0944] As a sub-embodiment of the above embodiment, the first node obtains channel measurements for computing the first channel information based on only the RS of the first RS resources that are within the first time-frequency resource in time domain

[0945] As a sub-embodiment of the above embodiment, the first node obtains channel measurements for computing the second channel information based on only the RS of the first RS resources that are within the second time-frequency resource in time domain.

[0946] Embodiment 18

[0947] Embodiment 18 illustrates a diagram of a first time-frequency resource and a second time-frequency resource according to an embodiment of the present application; as shown in Figure 18. 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 benefits of the above method include, according to the actual channel environment, allowing different channel information to be targeted at time-frequency resources of different sizes, further improving the quality and overhead of the optimized reporting, and further improving system performance.

[0949] As one embodiment, the length refers to a time domain length.

[0950] As one embodiment, the length refers to a frequency domain length.

[0951] As one embodiment, the length includes a time domain length and a frequency domain length.

[0952] Embodiment 19

[0953] Embodiment 19 illustrates a diagram of a second parameter set being used to generate second channel information according to one embodiment of the application; as shown in FIG. 19.

[0954] As one embodiment, the second parameter set includes one or more parameters.

[0955] As one embodiment, the second parameter set includes a frequency domain configuration parameter.

[0956] As one embodiment, the second parameter set includes a number of beams.

[0957] As one embodiment, the second parameter set includes a number of vectors related parameter.

[0958] As one embodiment, the second parameter set includes a number of coefficients related parameter.

[0959] As one embodiment, the second parameter set includes a number of quantization related parameter.

[0960] As one embodiment, the second parameter set includes a time slot interval configuration parameter.

[0961] As one embodiment, the second parameter set includes one or more of a higher layer parameter with a name including reportFreqConfiguration, a higher layer parameter with a name including numberOfBeams, a higher layer parameter with a name including paramCombination, a higher layer parameter with a name including numberOfPMI-SubbandsPerCQI-Subband, a higher layer parameter with a name including td-dd-config, and a higher layer parameter with a name including paramCombination-Doppler.

[0962] As one embodiment, at least one parameter in the first parameter set and the second parameter set is different.

[0963] As one embodiment, a number of bits included in the second channel information depends on the second parameter set.

[0964] As one embodiment, a size of the second channel information depends on the second set of parameters.

[0965] As one embodiment, a payload size of the second channel information depends on the second set of parameters.

[0966] As one embodiment, a payload size of the first channel information is different from a payload size of the second channel information.

[0967] As one embodiment, an accuracy of the second channel information depends on the second set of parameters.

[0968] As one embodiment, an accuracy of the first channel information is different from an accuracy of the second channel information.

[0969] As one embodiment, the second channel information indicates a plurality of vectors and a plurality of coefficients.

[0970] As one sub-embodiment of the above embodiment, a generation of the plurality of vectors and the plurality of coefficients depends on the second set of parameters.

[0971] As one sub-embodiment of the above embodiment, the plurality of vectors and the plurality of coefficients are used to generate at least one precoding matrix.

[0972] As one sub-embodiment of the above embodiment, a number of vectors indicated by the second channel information depends on the second set of parameters.

[0973] As one sub-embodiment of the above embodiment, a number of non-fixed value coefficients indicated by the second channel information depends on the second set of parameters.

[0974] As one sub-embodiment of the above embodiment, the plurality of coefficients include amplitude coefficients, and a number of non-zero amplitude coefficients indicated by the second channel information depends on the second set of parameters.

[0975] As one sub-embodiment of the above embodiment, a number of coefficients indicated by the second channel information depends on the second set of parameters.

[0976] As one sub-embodiment of the above embodiment, a range of values of at least one coefficient in the plurality of coefficients depends on the second set of parameters.

[0977] As one embodiment, the second channel information is used to determine at least one precoding matrix, and any precoding matrix in the at least one precoding matrix is for one time-frequency resource.

[0978] As one embodiment of the above embodiment, the number of precoding matrices determined using the second channel information depends on the second parameter set.

[0979] As one embodiment of the above embodiment, the time-frequency resources to which any of the at least one precoding matrix is applied depend on the second parameter set.

[0980] As one embodiment of the above embodiment, at least one of a time-domain length and a frequency-domain length of the time-frequency resources to which any of the at least one precoding matrix is applied depends on the second parameter set.

[0981] As one embodiment, the second channel information is used to determine W0 precoding matrices, W0 being a positive integer.

[0982] As one embodiment, the second channel information is used to determine W0 precoding matrices, the W0 precoding matrices being respectively for W0 PMI subbands, W0 being a positive integer.

[0983] As one embodiment, W0 depends on the second parameter set.

[0984] As one embodiment, the second parameter set indicates W0.

[0985] As one embodiment, W depends on the first parameter set, W0 depends on the second parameter set, and W is not equal to W0.

[0986] As one embodiment, a length of each of the W0 PMI subbands depends on the second parameter set.

[0987] As one embodiment, a length of each of the W PMI subbands depends on the first parameter set, a length of each of the W0 PMI subbands depends on the second parameter set, and a length of any of the W PMI subbands is different from a length of any of the W0 PMI subbands.

[0988] As one embodiment, the second channel information is used to determine N0 groups of precoding matrices, the N0 groups of precoding matrices being respectively for N0 slot intervals, N0 being a positive integer.

[0989] As one embodiment, N0 depends on the second parameter set.

[0990] As one embodiment, the second parameter set indicates N0.

[0991] As one embodiment, the N depends on the first set of parameters, the N0 depends on the second set of parameters, and the N is not equal to the N0.

[0992] As one embodiment, a length of each of the N0 time interval depends on the second set of parameters.

[0993] As one embodiment, the second set of parameters indicates a length of each of the N0 time intervals.

[0994] As one embodiment, a length of each of the N time intervals depends on the first set of parameters, a length of each of the N0 time intervals depends on the second set of parameters, and a length of any of the N time intervals is not equal to a length of any of the N0 time intervals.

[0995] As one embodiment, the N0 time intervals are consecutive in time domain.

[0996] As one embodiment, the N0 time intervals are equal in length.

[0997] As one embodiment, each of the N0 sets of precoding matrices includes W0 precoding matrices.

[0998] As one subembodiment of the above embodiment, the W0 depends on the second set of parameters.

[0999] As one embodiment, the second channel information indicates L0 vectors.

[1000] As one subembodiment of the above embodiment, the L0 vectors are used to compute the W0 precoding matrices.

[1001] As one subembodiment of the above embodiment, the W0 precoding matrices depend on a sum of the L0 vectors weighted by weighting coefficients.

[1002] As one embodiment, the second channel information indicates L0 vectors and M0 vectors.

[1003] As one subembodiment of the above embodiment, the L0 vectors and the M0 vectors are jointly used to compute the W0 precoding matrices.

[1004] As one subembodiment of the above embodiment, the W0 precoding matrices depend on a sum of the L0 vectors weighted by weighting coefficients, the weighting coefficients depending on the M0 vectors.

[1005] As one embodiment, the second channel information indicates L0 vectors and L3 sets of coefficients, the L3 equaling the L0 multiplied by 2.

[1006] As one sub-embodiment of the above embodiment, the L0 vectors and the L3 sets of coefficients are collectively used to compute the W0 precoding matrices.

[1007] As one sub-embodiment of the above embodiment, the W0 precoding matrices depend on a sum of the L0 vectors weighted by weighting coefficients that depend on the M0 vectors and the L3 sets of coefficients.

[1008] As one embodiment, the first channel information indicates L0 vectors, M0 vectors and L3 sets of coefficients, the L3 equaling the L0 multiplied by 2.

[1009] As one sub-embodiment of the above embodiment, the L0 vectors, the M0 vectors and the L3 sets of coefficients are collectively used to compute the W0 precoding matrices.

[1010] As one sub-embodiment of the above embodiment, the W0 precoding matrices depend on a sum of the L0 vectors weighted by weighting coefficients that depend on the M0 vectors and the L3 sets of coefficients.

[1011] As one embodiment, the second channel information indicates L0 vectors, M0 vectors, Q0 vectors and L3 sets of coefficients, the L3 equaling the L0 multiplied by 2.

[1012] As one sub-embodiment of the above embodiment, the L0 vectors, the M0 vectors, the Q0 vectors and the L3 sets of coefficients are collectively used to compute the N0 groups of precoding matrices.

[1013] As one sub-embodiment of the above embodiment, the N0 groups of precoding matrices depend on a sum of the L0 vectors weighted by weighting coefficients that depend on the M0 vectors, the Q0 vectors and the L3 sets of coefficients.

[1014] As one embodiment, the second channel information indicates the L0 vectors in sequence.

[1015] As one embodiment, the second channel information indicates the M0 vectors in sequence.

[1016] As one embodiment, the second channel information indicates the Q0 vectors in sequence.

[1017] As one embodiment, the second channel information indicates the L3 sets of coefficients in sequence.

[1018] As one embodiment, the L0 is a positive integer greater than 1.

[1019] As one embodiment, the L0 vectors are mutually orthogonal two by two.

[1020] As one embodiment, a length of any vector of the L0 vectors depends on a port number.

[1021] As one embodiment, a length of any vector of the L0 vectors is equal to a port number of one RS resource of the at least first RS resources.

[1022] As one embodiment, the L0 vectors are related to a spatial domain property or an angular domain property.

[1023] As one embodiment, the L0 depends on the second set of parameters.

[1024] As one embodiment, the second set of parameters indicates the L0.

[1025] As one embodiment, the L depends on the first set of parameters, the L0 depends on the second set of parameters, and the L is not equal to the L0.

[1026] As one embodiment, the M0 is a positive integer greater than 1.

[1027] As one embodiment, the M0 vectors are mutually orthogonal two by two.

[1028] As one embodiment, a length of any vector of the M0 vectors is equal to the W0.

[1029] As one embodiment, the M0 vectors are related to a frequency domain property or a delay domain property.

[1030] As one embodiment, the M0 depends on the second set of parameters.

[1031] As one embodiment, the M depends on the first set of parameters, the M0 depends on the second set of parameters, and the M is not equal to the M0.

[1032] As one embodiment, the Q0 is a positive integer greater than 1.

[1033] As one embodiment, the Q0 vectors are mutually orthogonal two by two.

[1034] As one embodiment, a length of any vector of the Q0 vectors is equal to the N0.

[1035] As one embodiment, the Q0 vectors are related to a Doppler domain property or a time domain property.

[1036] As one embodiment, the Q0 depends on the second parameter set.

[1037] As one embodiment, the second parameter set indicates the Q0.

[1038] As one embodiment, the Q depends on the first parameter set, the Q0 depends on the second parameter set, and the Q is not equal to the Q0.

[1039] As one embodiment, the number of coefficients in each of the L3 sets of coefficients depends on the second parameter set.

[1040] As one embodiment, any of the L3 sets of coefficients includes at least one amplitude coefficient and at least one phase coefficient.

[1041] As one embodiment, any of the L3 sets of coefficients includes at least one amplitude coefficient, at least one phase coefficient, and at least one subband amplitude coefficient.

[1042] As one embodiment, the weighting coefficient of any of the L0 vectors is equal to the product of an amplitude coefficient, a phase coefficient, and a subband amplitude coefficient.

[1043] As one embodiment, the weighting coefficient of any of the L0 vectors is equal to the product of an amplitude coefficient, a phase coefficient, and a subband amplitude coefficient.

[1044] As one embodiment, the second channel information explicitly indicates the L3 sets of coefficients.

[1045] As one embodiment, the second channel information implicitly indicates the L3 sets of coefficients.

[1046] As one embodiment, the second channel information explicitly indicates a portion of the coefficients in the L3 sets of coefficients and implicitly indicates another portion of the coefficients in the L3 sets of coefficients.

[1047] As one embodiment, at least one of the number of coefficients and the range of values for the coefficients in the L3 sets of coefficients depends on the second parameter set.

[1048] As one embodiment, the number of non-zero amplitude coefficients included in any of the L3 sets of coefficients depends on the second parameter set.

[1049] As one embodiment, the range of values for at least one amplitude coefficient in the L3 sets of coefficients depends on the second parameter set.

[1050] As one embodiment, the second parameter set indicates the range of values for at least one amplitude coefficient in the L3 sets of coefficients.

[1051] As one embodiment, a range of values of at least one amplitude coefficient in the L2 sets of coefficients is different from a range of values of at least one amplitude coefficient in the L3 sets of coefficients.

[1052] As one embodiment, a range of values of any amplitude coefficient in the L2 sets of coefficients is different from a range of values of any amplitude coefficient in the L3 sets of coefficients.

[1053] As one embodiment, a range of values of at least one phase coefficient in the L3 sets of coefficients depends on the second set of parameters.

[1054] As one embodiment, the second set of parameters indicates a range of values of at least one phase coefficient in the L3 sets of coefficients.

[1055] As one embodiment, a range of values of at least one phase coefficient in the L2 sets of coefficients is different from a range of values of at least one phase coefficient in the L3 sets of coefficients.

[1056] As one embodiment, a range of values of any phase coefficient in the L2 sets of coefficients is different from a range of values of any phase coefficient in the L3 sets of coefficients.

[1057] As one embodiment, whether any set of the L3 sets of coefficients includes a subband amplitude coefficient depends on the second set of parameters.

[1058] As one embodiment, a range of values of at least one subband amplitude coefficient in the L3 sets of coefficients depends on the second set of parameters.

[1059] As one embodiment, the second set of parameters indicates a range of values of at least one subband amplitude coefficient in the L3 sets of coefficients.

[1060] As one embodiment, a range of values of at least one subband amplitude coefficient in the L2 sets of coefficients is different from a range of values of at least one subband amplitude coefficient in the L3 sets of coefficients.

[1061] As one embodiment, the second set of parameters indicates an upper limit on a number of non-zero amplitude coefficients included in any set of the L3 sets of coefficients.

[1062] As one embodiment, the second set of parameters indicates an upper limit on a total number of non-zero amplitude coefficients included in the L3 sets of coefficients.

[1063] As one embodiment, an upper limit on a total number of non-zero amplitude coefficients in the L3 sets of coefficients is different from an upper limit on a total number of non-zero amplitude coefficients in the L2 sets of coefficients.

[1064] As one embodiment, the second set of parameters indicates an upper limit of at least one of a number of non-fixed value phase coefficients and a number of non-fixed value subband amplitude coefficients included in any of the L3 sets of coefficients.

[1065] As one embodiment, the second set of parameters indicates an upper limit of at least one of a total number of non-fixed value phase coefficients and a total number of non-fixed value subband amplitude coefficients in the L3 sets of coefficients.

[1066] As one embodiment, the upper limit of the total number of non-fixed value phase coefficients in the L3 sets of coefficients is different from the upper limit of the total number of non-fixed value phase coefficients in the L2 sets of coefficients.

[1067] As one embodiment, the upper limit of the total number of non-fixed value subband amplitude coefficients in the L3 sets of coefficients is different from the upper limit of the total number of non-fixed value subband amplitude coefficients in the L2 sets of coefficients.

[1068] As one embodiment, 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 set of parameters.

[1070] As one embodiment, the first information block indicates the second set of parameters from a plurality of candidate sets of parameters.

[1071] As one embodiment, part of the parameters in the second set of parameters are the same as part of the parameters in the first set of parameters, another part of the parameters in the second set of parameters are different from another part of the parameters in the first set of parameters, and the first information block indicates only the another part of the parameters in the second set of parameters.

[1072] As one embodiment, the first information block implicitly indicates the second set of parameters.

[1073] As one embodiment, the first information block indicates the second set of parameters by indicating other information.

[1074] Embodiment 20

[1075] Embodiment 20 illustrates a diagram of a second set of parameters used to generate K2 sets of channel information according to one embodiment of the present application; as shown in FIG. 20.

[1076] As one embodiment, the second set of parameters is used to generate each of the K2 sets of channel information.

[1077] As one embodiment, the number of bits included in any of the K2 channel information depends on the second set of parameters.

[1078] As one embodiment, the payload size of any of the K2 channel information depends on the second set of parameters.

[1079] As one embodiment, the accuracy of any of the K2 channel information depends on the second set of parameters.

[1080] As one embodiment, any of the K2 channel information indicates a plurality of vectors and a plurality of coefficients.

[1081] As one sub-embodiment of the above embodiment, the generation of the plurality of vectors and the plurality of coefficients depends on the second set of parameters.

[1082] As one sub-embodiment of the above embodiment, the plurality of vectors and the plurality of coefficients are used to generate at least one precoding matrix.

[1083] As one sub-embodiment of the above embodiment, the number of vectors indicated by any of the K2 channel information depends on the second set of parameters.

[1084] As one sub-embodiment of the above embodiment, the number of coefficients indicated by any of the K2 channel information depends on the second set of parameters.

[1085] As one sub-embodiment of the above embodiment, the number of non-fixed value coefficients indicated by any of the K2 channel information depends on the second set of parameters.

[1086] As one sub-embodiment of the above embodiment, the coefficients indicated by any of the K2 channel information include amplitude coefficients, and the number of non-zero amplitude coefficients indicated by any of the K2 channel information depends on the second set of parameters.

[1087] As one sub-embodiment of the above embodiment, the range of values of at least one of the plurality of coefficients depends on the second set of parameters.

[1088] As one embodiment, any of the K2 channel information is used to determine at least one precoding matrix, and any of the at least one precoding matrix is for one time-frequency resource.

[1089] As one sub-embodiment of the above embodiment, the number of the at least one precoding matrix depends on the second set of parameters.

[1090] As one subembodiment of the above embodiment, at least one of the time domain length and the frequency domain length of the time-frequency resources to which any of the at least one precoding matrix is applied depends on the second parameter set.

[1091] As one subembodiment of the above embodiment, at least one of the time domain length and the frequency domain length of the time-frequency resources to which any of the at least one precoding matrix is applied depends on the second parameter set.

[1092] Embodiment 21

[1093] Embodiment 21 illustrates a schematic diagram of 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 one embodiment of the present application; as shown in FIG. 21. In Embodiment 21, the K1 channel information are respectively for the K1 time-frequency resources, and the K2 channel information are respectively for the K2 time-frequency resources. In FIG. 21, the K1 time-frequency resources are respectively denoted as time-frequency resource #0, …, time-frequency resource #(K1-1); and the K2 time-frequency resources are respectively denoted as time-frequency resource #0, …, time-frequency resource #(K2-1).

[1094] As one preferred embodiment, the K1 time-frequency resources are pairwise orthogonal to each other, and the K2 time-frequency resources are pairwise orthogonal to each other.

[1095] As one preferred embodiment, any of the K1 time-frequency resources is orthogonal to any of the K2 time-frequency resources.

[1096] As one embodiment, the first time-frequency resource pool and the second time-frequency resource pool respectively comprise one continuous time period in the time domain.

[1097] As one embodiment, the first time-frequency resource pool and the second time-frequency resource pool respectively comprise one continuous time period denoted as s, ms or μs in the time domain.

[1098] As one embodiment, the first time-frequency resource pool and the second time-frequency resource pool respectively comprise a positive integer number of symbols in the time domain.

[1099] As one embodiment, the first time-frequency resource pool and the second time-frequency resource pool respectively comprise a positive integer number of slots in the time domain.

[1100] As one embodiment, the first time-frequency resource pool and the second time-frequency resource pool respectively comprise a positive integer number of frames or subframes in the time domain.

[1101] As one embodiment, the first time-frequency resource pool and the second time-frequency resource pool respectively comprise one continuous frequency domain resource in the frequency domain.

[1102] As an embodiment, the first time-frequency resource pool and the second time-frequency resource pool respectively comprise one continuous frequency domain resource expressed as Hz, kHz or MHz in the frequency domain.

[1103] As an embodiment, the first time-frequency resource pool and the second time-frequency resource pool respectively comprise a positive integer number of subcarriers in the frequency domain.

[1104] As an embodiment, the first time-frequency resource pool and the second time-frequency resource pool respectively comprise a positive integer number of RBs in the frequency domain.

[1105] As an embodiment, the first time-frequency resource pool and the second time-frequency resource pool respectively comprise a positive integer number of subbands in the frequency domain.

[1106] As a preferred embodiment, the first time-frequency resource pool and the second time-frequency resource pool are orthogonal to each other.

[1107] As an 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 FIG. 21(a).

[1108] As an 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 FIG. 21(b).

[1109] As a preferred embodiment, the first information block indicates the first time-frequency resource pool and the second time-frequency resource pool.

[1110] As an embodiment, the first information block explicitly indicates the first time-frequency resource pool and the second time-frequency resource pool.

[1111] As an embodiment, the first information block indicates the start time and end time of the first time-frequency resource pool, and indicates the start time and end time of the second time-frequency resource pool.

[1112] As an embodiment, 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 embodiment, the first information block indicates the lowest frequency point and the highest frequency point of the first time-frequency resource pool, and indicates the lowest frequency point and the highest frequency point of the second time-frequency resource pool.

[1114] As an embodiment, the first information block indicates the lowest frequency point and the frequency domain length of the first time-frequency resource pool, and indicates the lowest frequency point and the frequency domain length of the second time-frequency resource pool.

[1115] As one embodiment, the first information block implicitly indicates the first time-frequency resource pool and the second time-frequency resource pool.

[1116] As one embodiment, 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 one embodiment, the first information block indicates a starting time of the first time-frequency resource pool and indicates a time domain interval between the second time-frequency resource pool and the first time-frequency resource pool.

[1119] As one sub-embodiment of the above embodiment, the first information block indicates a time domain length of the first time-frequency resource pool and a time domain length of the second time-frequency resource pool.

[1120] As one embodiment, the first information block indicates a lowest frequency point of the first time-frequency resource pool and indicates a frequency domain interval between the second time-frequency resource pool and the first time-frequency resource pool.

[1121] As one sub-embodiment of the above embodiment, the first information block indicates a frequency domain length of the first time-frequency resource pool and a frequency domain length of the second time-frequency resource pool.

[1122] As one embodiment, the first information block indicating one time-frequency resource pool comprises that the first information block indicates at least one of a time domain length and a frequency domain length of the one time-frequency resource pool.

[1123] As one sub-embodiment of the above embodiment, the first information block explicitly indicates the time domain length of the one time-frequency resource pool.

[1124] As one sub-embodiment of the above embodiment, the first information block implicitly indicates the time domain length of the one time-frequency resource pool.

[1125] As one sub-embodiment of the above embodiment, the first information block indicates the time domain length of the one time-frequency resource pool by indicating a starting time or an ending time of at least one other time-frequency resource pool.

[1126] As one sub-embodiment of the above embodiment, the first information block explicitly indicates the frequency domain length of the one time-frequency resource pool.

[1127] As one sub-embodiment of the above embodiment, the first information block implicitly indicates the frequency domain length of the one time-frequency resource pool.

[1128] As a sub-example of the above embodiment, the first information block indicates the frequency domain length of the one time-frequency resource pool by indicating a lowest frequency point or a highest frequency point of the at least one other time-frequency resource pool.

[1129] Embodiment 22

[1130] Embodiment 22 illustrates a schematic diagram of at least first channel information belonging to a first data set according to one embodiment of the present application; as shown in FIG. 22.

[1131] As one embodiment, the first information block and the at least first channel information both belong to the first data set.

[1132] As one embodiment, the first information block does not belong to the first data set.

[1133] As one embodiment, the first data set is used for training or retraining.

[1134] As one embodiment, the first data set is used for training or retraining of an AI model or an ML model.

[1135] As one embodiment, the first data set comprises a training data set.

[1136] As one embodiment, the first data set belongs to a training data set.

[1137] As one embodiment, the first data set is a training data set.

[1138] As one embodiment, the first data set is used for training or retraining of an operation comprising inference.

[1139] As one embodiment, a training data set of an operation comprising inference comprises the first data set.

[1140] As one embodiment, a training data set of the first operation comprises the first data set.

[1141] As one embodiment, the first data set is used for performance monitoring.

[1142] As one embodiment, the first data set is used for performance monitoring of an AI model or an ML model.

[1143] As one embodiment, the first data set is used for performance monitoring of an operation comprising inference.

[1144] As one embodiment, a performance monitoring data set of the first operation comprises the first data set.

[1145] As one embodiment, the first data set is used for inference.

[1146] As one embodiment, the first data set is used for inference of an AI model or an ML model.

[1147] As one embodiment, the first data set comprises an inference data set.

[1148] As one embodiment, the first data set belongs to an inference data set.

[1149] As one embodiment, the first data set is an inference data set.

[1150] As one embodiment, the first data set is used for an inference of an operation comprising inference.

[1151] As one embodiment, an inference data set of an operation comprising inference comprises the first data set.

[1152] As one embodiment, the AI model or the ML model is used for CSI generation or CSI compression.

[1153] As one embodiment, the AI model or the ML model is used for CSI prediction or beam management.

[1154] As one embodiment, the AI model or the ML model is used for one or more of data reception, positioning, scheduling, and semantic-based error correction.

[1155] As one embodiment, a data set to which the at least first channel information belongs is configured by higher layer signaling.

[1156] As one embodiment, a data set to which the at least first channel information belongs is configured by RRC signaling.

[1157] As one embodiment, a data set to which the at least first channel information belongs is indicated to the first node by a serving cell of the first node.

[1158] As one embodiment, a data set to which the at least first channel information belongs is indicated to the first node by a core network device.

[1159] As one embodiment, a data set to which the at least first channel information belongs is indicated to the first node by an OTT server.

[1160] As one embodiment, a data set to which the at least first channel information belongs is indicated to the first node by an OAM.

[1161] As one embodiment, a data set to which the at least first channel information belongs is indicated to the first node by a NAS device.

[1162] As one embodiment, the data set to which the at least first channel information belongs is reported by the first node.

[1163] As one embodiment, the first information block indicates that the data set to which the at least first channel information belongs is the first data set.

[1164] As one embodiment, the first configuration information block indicates that the data set to which the at least first channel information belongs is the first data set.

[1165] As one embodiment, the first information block indicates a first identity to which the first data set is associated.

[1166] As one embodiment, the first configuration information block indicates a first identity to which the first data set is associated.

[1167] As one embodiment, the first data set being associated to the first identity comprises the first data set being identified by the first identity.

[1168] As one embodiment, the first data set being associated to the first identity comprises a training data set to which the first data set belongs being identified by the first identity.

[1169] As one embodiment, the first data set being associated to the first identity comprises the first data set being used for training or retraining of a model, the model being identified by the first identity.

[1170] As one embodiment, the first data set being associated to the first identity comprises the first data set being used for training or retraining of a model, the training or retraining being identified by the first identity.

[1171] As one embodiment, the first data set being associated to the first identity comprises the first data set being used for training or retraining of a model, inference of the model being identified by the first identity.

[1172] As one embodiment, the first data set being associated to the first identity comprises the first data set being used for training or retraining of a model, an AI function or AI entity performing the training or retraining being identified by the first identity.

[1173] As one embodiment, the first data set being associated to the first identity comprises the first data set being used for training or retraining of a model, an AI function or AI entity performing inference of the model being identified by the first identity.

[1174] As one embodiment, the associating the first data set to the first identification comprises that the first data set is used for training or retraining of a model, a function implemented by the one model is identified by the first identification.

[1175] As one embodiment, the associating the first data set to the first identification comprises that the first data set is used for inference or performance monitoring of a model, the one model is identified by the first identification.

[1176] As one embodiment, the associating the first data set to the first identification comprises that an inference data set to which the first data set belongs is identified by the first identification.

[1177] As one embodiment, the associating the first data set to the first identification comprises that the first data set is used for inference of a model, the inference of the one model is identified by the first identification.

[1178] As one embodiment, the associating the first data set to the first identification comprises that the first data set is used for inference or performance monitoring of a model, an AI function or AI entity performing the inference or performance monitoring is identified by the first identification.

[1179] As one embodiment, the associating the first data set to the first identification comprises that the first data set is used for inference or performance monitoring of a model, a function implemented by the one model is identified by the first identification.

[1180] As one embodiment, the model refers to an AI model or an ML model.

[1181] As one embodiment, the training or retraining of a model or an operation using a data set comprises that a training data set of the one model or one operation comprises the one data set.

[1182] As one embodiment, the inference of a model or an operation using a data set comprises that an inference data set of the one model or one operation comprises the one data set.

[1183] As one embodiment, the performance monitoring of a model or an operation using a data set comprises that a performance monitoring data set of the one model or one operation comprises the one data set.

[1184] As one embodiment, the first information block indicates that the data set to which the at least first channel information belongs is the first data set by indicating the first identification.

[1185] As an embodiment, the first configuration information block indicates the first data set to which the at least first channel information belongs by indicating the first identity.

[1186] Embodiment 23

[1187] Embodiment 23 illustrates a schematic diagram of the at least first channel information being transmitted on the first radio bearer according to an embodiment of the present application; as shown in FIG. 23.

[1188] As an embodiment, the first radio bearer is AI or ML specific.

[1189] As an embodiment, the first radio bearer is AI model or ML model specific.

[1190] As an embodiment, the first radio bearer is a Signalling Radio Bearer (SRB) not supported by 3GPP R19 or earlier versions, such as SRB6, or SRB7, etc.

[1191] As an embodiment, the first radio bearer is a radio bearer for transmitting unicast data other than DRB (Data Radio Bearer) and SRB.

[1192] As a sub-embodiment of the above embodiment, the name of the first radio bearer comprises RB, and the name of the first radio bearer comprises I or AI or ML or LLM.

[1193] As an embodiment, the first radio bearer comprises one higher layer entity above PDCP (Packet Data Convergence Protocol) and belonging to Radio Access Network RAN (i.e. not belonging to core network).

[1194] As a sub-embodiment of the above embodiment, the first radio bearer comprises the one higher layer entity, one PDCP entity and one RLC (Radio Link Control) entity.

[1195] Embodiment 24

[1196] Embodiment 24 illustrates a schematic diagram of the at least first channel information and the first operation both being associated to the first identity according to an embodiment of the present application; as shown in FIG. 24.

[1197] As an embodiment, the first identity is a non-negative integer.

[1198] As one embodiment, the first identity is a string.

[1199] As one embodiment, the first identity indicates an association between two or more RS resources.

[1200] As one sub-embodiment of the above embodiment, the association comprises having similar characteristics.

[1201] As one sub-embodiment of the above embodiment, the association comprises having same or similar large-scale characteristics.

[1202] As one sub-embodiment of the above embodiment, the association comprises quasi co-located.

[1203] As one sub-embodiment of the above embodiment, the association comprises quasi co-located and the corresponding quasi co-location type comprises TypeD.

[1204] As one sub-embodiment of the above embodiment, the association comprises being used to generate a training dataset of a same model.

[1205] As one sub-embodiment of the above embodiment, the association comprises being used to generate an inference dataset of a same model.

[1206] As one sub-embodiment of the above embodiment, the association comprises being used to generate a training dataset or an inference dataset of a same model.

[1207] As one embodiment, the large-scale characteristics comprise one or more of delay spread, Doppler spread, Doppler shift, average delay, or spatial receive parameters.

[1208] As one embodiment, the large-scale characteristics comprise spatial domain transmit filter and spatial domain receive filter.

[1209] As one embodiment, the first identity indicates an association between a dataset and an operation comprising inference.

[1210] As one sub-embodiment of the above embodiment, the association comprises the dataset belonging to a training dataset of a model of the operation comprising inference.

[1211] As one sub-embodiment of the above embodiment, the association comprises the dataset belonging to an inference dataset of the operation comprising inference.

[1212] As one embodiment, the first identity indicates an association between one RS resource or set of RS resources and one inference-comprising operation.

[1213] As one sub-embodiment of the above embodiment, the association comprises that the one RS resource or set of RS resources is used to generate a training data set of a model of the one inference-comprising operation.

[1214] As one sub-embodiment of the above embodiment, the association comprises that the one RS resource or set of RS resources is used to generate an inference data set of the one inference-comprising operation.

[1215] As one sub-embodiment of the above embodiment, the association comprises that an output of the one inference-comprising operation comprises an identity of one or more RS resources of the one RS resource or set of RS resources.

[1216] As one embodiment, the at least first channel information being associated to the first identity comprises that the at least first channel information belongs to a first data set, the first data set being associated to the first identity.

[1217] As one embodiment, the at least first channel information being associated to the first identity comprises that the first information block indicates the first identity.

[1218] As one embodiment, the at least first channel information being associated to the first identity comprises that the first configuration information block indicates the first identity.

[1219] As one embodiment, the at least first channel information being associated to the first identity comprises that the at least first channel information belongs to a training data set of an AI or ML model associated to the first identity.

[1220] As one embodiment, the at least first channel information being associated to the first identity comprises that the at least first channel information belongs to an inference data set of an AI or ML model associated to the first identity.

[1221] As one embodiment, the at least first channel information being associated to the first identity comprises that the at least first channel information depends on an output of an inference of an AI or ML model associated to the first identity.

[1222] As one embodiment, the at least first channel information being associated to the first identity comprises that the at least first RS resource is associated to the first identity.

[1223] As one embodiment, the at least first channel information being associated to the first identity comprises that the RS resource(s) used to obtain channel measurements for computing the at least first channel information is associated to the first identity.

[1224] As one embodiment, the one RS resource being associated to the first identity comprises the one RS resource being configured with the first identity.

[1225] As one embodiment, the one RS resource being associated to the first identity comprises a configuration IE of the one RS resource indicating the first identity.

[1226] As one embodiment, the configuration IE of the one RS resource comprises a CSI-ResourceConfig IE, and the one RS resource is a CSI-RS resource or a SS / PBCH block resource.

[1227] As one embodiment, the configuration IE of the one RS resource comprises a CSI-SSB-ResourceSet IE, and the one RS resource is a SS / PBCH block resource.

[1228] As one embodiment, the configuration IE of the one RS resource comprises at least one of a NZP-CSI-RS-Resource IE and a NZP-CSI-RS-ResourceSet IE, and the one RS resource is a CSI-RS resource.

[1229] As one embodiment, the one RS resource being associated to the first identity comprises the one RS resource and another RS resource associated to the first identity being quasi co-located.

[1230] As one embodiment, the one RS resource being associated to the first identity comprises the one RS resource and another RS resource associated to the first identity having same or similar characteristics.

[1231] As one embodiment, the one RS resource being associated to the first identity comprises the one RS resource and another RS resource associated to the first identity having same or similar large-scale characteristics.

[1232] As one embodiment, the one RS resource being associated to the first identity comprises the one RS resource and another RS resource associated to the first identity being used to generate a same AI model or ML model’s training data set.

[1233] As one embodiment, the one RS resource being associated to the first identity comprises the one RS resource and another RS resource associated to the first identity being used to generate a same AI model or ML model’s inference data set.

[1234] As an embodiment, the one RS resource being associated to the first identity comprises the one RS resource and another RS resource being associated to the first identity are used to generate a same training data set or inference data set for a same AI model or ML model.

[1235] As an embodiment, the one RS resource being associated to the first identity comprises a RS resource set to which the one RS resource belongs is associated to the first identity.

[1236] As an embodiment, the one RS resource set being associated to the first identity comprises the one RS resource set is configured with the first identity.

[1237] As an embodiment, the one RS resource set being associated to the first identity comprises a configuration IE of the one RS resource set indicates the first identity.

[1238] As an embodiment, the configuration IE of the one RS resource set comprises a CSI-ResourceConfig IE, and the one RS resource set is a CSI-RS resource set or a CSI-SSB (Synchronization Signal Block) resource set.

[1239] As an embodiment, the configuration IE of the one RS resource set comprises a CSI-SSB-ResourceSet IE, and the one RS resource set is a CSI-SSB resource set.

[1240] As an embodiment, the configuration IE of the one RS resource set comprises a NZP-CSI-RS-ResourceSet IE, and the one RS resource set is a CSI-RS resource set.

[1241] As an embodiment, the one RS resource set being associated to the first identity comprises any RS resource in the one RS resource set and any RS resource in another RS resource set being associated to the first identity are quasi co-located.

[1242] As an embodiment, the one RS resource set being associated to the first identity comprises any RS resource in the one RS resource set and any RS resource in another RS resource set being associated to the first identity have a same or similar characteristic.

[1243] As an embodiment, the one RS resource set being associated to the first identity comprises any RS resource in the one RS resource set and any RS resource in another RS resource set being associated to the first identity have a same or similar large-scale characteristic.

[1244] As an embodiment, the one RS resource set being associated to the first identity comprises that the one RS resource set and another RS resource set associated to the first identity are used to generate a training data set of the same AI model or ML model.

[1245] As an embodiment, the one RS resource set being associated to the first identity comprises that the one RS resource set and another RS resource set associated to the first identity are used to generate an inference data set of the same AI model or ML model.

[1246] As an embodiment, the one RS resource set being associated to the first identity comprises that the one RS resource set and another RS resource set associated to the first identity are used to generate a training data set or an inference data set of the same AI model or ML model.

[1247] As an embodiment, the one RS resource set being associated to the first identity comprises that the one RS resource set is used to generate a training data set or an inference data set of an AI model or ML model, and an output of an inference of the one AI model or ML model comprises an identity of one or more RS resources in another RS resource set associated to the first identity.

[1248] As a preferred embodiment, the first operation is based on training.

[1249] As an embodiment, the first operation is obtained by training.

[1250] As a preferred embodiment, the models of the first operation are all obtained by training.

[1251] As an embodiment, the model of the first operation is an AI model or ML model.

[1252] As an embodiment, the training of the first operation is performed by the first node.

[1253] As an embodiment, the training of the first operation is performed by a serving cell of the first node.

[1254] As an embodiment, the training of the first operation is performed by a core network.

[1255] As an embodiment, the training of the first operation is performed by an MDA function (Management Data Analytics Function).

[1256] As one embodiment, the training of the first operation is performed by a NWDAF (Network Data Analytics Function).

[1257] As one embodiment, the training of the first operation is performed by a MDAS (Management Data Analytics Service) producer.

[1258] As one embodiment, the training of the first operation is performed by a MnS (Management Service) producer.

[1259] As one embodiment, the first operation is an inference.

[1260] As one embodiment, the inference refers to an AI (Artificial Intelligence) inference.

[1261] As one embodiment, the inference refers to an ML (Machine Learning) inference.

[1262] As one embodiment, the inference refers to an AI inference or an ML inference.

[1263] As one embodiment, the first operation includes an inference of an AI model or an ML model.

[1264] As one embodiment, the first operation includes an AI entity.

[1265] As one embodiment, the first operation includes a portion of an AI entity for inference.

[1266] As one embodiment, the first operation is performed by an AI entity or an AI function.

[1267] As one embodiment, the first operation is performed by an AI entity or an AI function deployed at the first node.

[1268] As one embodiment, the AI function includes an AI inference function.

[1269] As one embodiment, the AI function includes an AI training function.

[1270] As one embodiment, the AI function includes an AI management function.

[1271] As one embodiment, the AI comprises ML (Machine Learning).

[1272] As one embodiment, the AI comprises AI and ML.

[1273] As one embodiment, the AI comprises AI or ML.

[1274] As one embodiment, the first operation is based on artificial intelligence or machine learning.

[1275] As one embodiment, the first operation is based on a neural network.

[1276] As one embodiment, the first operation is used for CSI (Channel State Information) generation.

[1277] As one embodiment, the first operation is used for beam management or beam prediction.

[1278] As one embodiment, the first operation is used for CSI compression.

[1279] As one embodiment, the first operation is used for positioning.

[1280] As one embodiment, the output of the first operation comprises CSI or compressed CSI.

[1281] As one embodiment, the output of the first operation comprises predicted beam information.

[1282] As one embodiment, the beam information comprises at least one of CRI, SSBRI and RSRP.

[1283] As one embodiment, the first operation is deployment-agnostic.

[1284] As one embodiment, the first operation is obtained by load.

[1285] As one embodiment, the first operation is deployment-agnostic.

[1286] As one embodiment, the first dataset is used for training of the first operation.

[1287] As one embodiment, the training dataset of the first operation comprises the first dataset.

[1288] As one embodiment, the first dataset is used for performance monitoring of the first operation.

[1289] As one embodiment, the performance monitoring dataset of the first operation comprises the first dataset.

[1290] As one embodiment, the first dataset is used for inference of the first operation.

[1291] As one embodiment, the inference dataset of the first operation comprises the first dataset.

[1292] As one embodiment, the first operation is associated to the first identity comprises that the first operation is identified by the first identity.

[1293] As one embodiment, the first operation is associated to the first identity comprises that a model of the first operation is identified by the first identity.

[1294] The above method has the benefits of simplifying the design and unifying the understanding of different AI operations or AI models among different nodes.

[1295] As one embodiment, the first operation is associated to the first identity comprises that an AI entity or an AI function to which the first operation belongs is identified by the first identity.

[1296] As one embodiment, the first operation is associated to the first identity comprises that an AI function or an AI entity performing the first operation is identified by the first identity.

[1297] The above method has the benefits of simplifying the design and unifying the understanding of different AI entities or AI functions among different nodes.

[1298] As one embodiment, the first operation is associated to the first identity comprises that a training of the first operation is identified by the first identity.

[1299] As one embodiment, the first operation is associated to the first identity comprises that a training dataset of the first operation is identified by the first identity.

[1300] The above method has the benefits of identifying an AI training or an AI training dataset by identifying the AI training or the AI training dataset, establishing a consensus among different AI functions, and further simplifying the design.

[1301] As one embodiment, the first operation is associated to the first identity comprises that an inference dataset of the first operation is identified by the first identity.

[1302] The above method has the benefits of identifying an inference by identifying an inference dataset of the inference, establishing a consensus among different AI functions and different nodes, and further simplifying the design.

[1303] As one embodiment, the first operation being associated to the first identity comprises that an output of the first operation comprises an identity of one or more RS resources, each of the one or more RS resources being associated to the first identity.

[1304] As one sub-embodiment of the above embodiment, a RS resource set to which the one or more RS resources belong is associated to the first identity.

[1305] As one embodiment, both the at least first channel information and the first operation being associated to the first identity indicates that the at least first channel information belongs to a training data set of a model of the first operation.

[1306] As one embodiment, both the at least first channel information and the first operation being associated to the first identity indicates that the at least first channel information belongs to an inference data set of a model of the first operation.

[1307] As one embodiment, both the at least first channel information and the first operation being associated to the first identity indicates that RS resource(s) used to obtain channel measurements for computing the at least first channel information are used to generate a training data set or an inference data set of a model of the first operation.

[1308] Embodiment 25

[1309] Embodiment 25 illustrates a deployment of a first operation according to one embodiment of the present application, as shown in FIG. 25; in embodiment 25, the first node makes a request to a first producer to load the first operation, and obtains the first operation from the first producer.

[1310] As one embodiment, the first operation is to be deployed.

[1311] As one embodiment, the deployment comprises obtaining the first operation.

[1312] As one embodiment, the deployment comprises obtaining an AI entity.

[1313] As one embodiment, the deployment comprises obtaining an AI entity that executes the first operation.

[1314] As one embodiment, the deployment comprises obtaining an AI entity that comprises an AI function that executes the first operation.

[1315] As one embodiment, the deployment comprises obtaining an AI function.

[1316] As one embodiment, the deploying includes obtaining an AI function that performs the first operation.

[1317] As one embodiment, the deploying includes loading the first operation.

[1318] As one embodiment, the deploying includes making a request to load the first operation.

[1319] As one embodiment, the request in Figure 25 is a request to load the first operation made by the first node.

[1320] As one embodiment, the response in Figure 25 is a response to the request to load the first operation made by the first node.

[1321] As one embodiment, the first node obtains the first operation through the response in Figure 25.

[1322] As one embodiment, the first node obtains a model of the first operation through the response in Figure 25.

[1323] As one embodiment, the first producer provides the first operation to the first node through the response in Figure 25.

[1324] As one embodiment, the first producer provides a model of the first operation to the first node through the response in Figure 25.

[1325] As one embodiment, the deploying is done by an AI function.

[1326] As one embodiment, the deploying is done by an AI function deployed at the first node.

[1327] As one embodiment, the deploying is done by an AI deployment function.

[1328] As one embodiment, the deploying is done by an AI deployment function deployed at the first node.

[1329] As one embodiment, the deploying is done by an AI inference function.

[1330] As one embodiment, the deploying is done by an AI inference function deployed at the first node.

[1331] As one embodiment, the deploying is done by an AI entity.

[1332] As one embodiment, the deployment is done by an AI entity deployed at the first node.

[1333] As one embodiment, the deployment is done by an AI entity having a deployment function.

[1334] As one embodiment, the deployment is done by an AI entity having a deployment function deployed at the first node.

[1335] As one embodiment, the deployment is done by an AI entity having an inference function.

[1336] As one embodiment, the deployment is done by an AI entity having an inference function deployed at 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 making a request to a first producer to load the first operation.

[1339] As one embodiment, the deployment includes loading the first operation from a first producer.

[1340] As one embodiment, the first producer generates and provides an AI model.

[1341] As one embodiment, the first producer generates and provides an AI entity.

[1342] As one embodiment, the first producer generates and provides an AI function.

[1343] As one embodiment, the first producer is a producer of the first operation.

[1344] As one embodiment, the first producer is a producer of a training of the first operation.

[1345] As one embodiment, the first producer includes an AI entity producer.

[1346] As one embodiment, the first producer includes an AI function producer.

[1347] As one embodiment, the first producer includes an AI deployment producer.

[1348] As one embodiment, the first producer comprises an AI training producer.

[1349] As one embodiment, the first producer comprises an AI inference producer.

[1350] As one embodiment, the first producer comprises a producer of training of an AI model.

[1351] As one embodiment, the first producer comprises an MnS (Management Service) producer.

[1352] As one embodiment, the first producer is a serving cell of the first node.

[1353] As one embodiment, the first producer is a maintaining base station of the serving cell of the first node.

[1354] As one embodiment, the first producer is a core network device.

[1355] As one embodiment, the first producer is a NAS device.

[1356] As one embodiment, the first producer is an OTT server.

[1357] As one embodiment, the training of the first operation is performed by the first producer.

[1358] Embodiment 26

[1359] Embodiment 26 illustrates a schematic diagram of an artificial intelligence or machine learning based processing system according to one embodiment of the present application; as shown in FIG. 26. In embodiment 26, the second processing machine sends a second data set to the third processing machine, and a third data set to the fourth processing machine; the third processing machine generates a target first type parameter set according to the second data set, and sends the generated target first type parameter set to the fourth processing machine; the fourth processing machine processes the third data set using the target first type parameter set to obtain a first type output, and sends the first type output to the fifth processing machine. In FIG. 26, the first type feedback and the second type feedback are optional; the third processing machine comprises an ML training function; and the fourth processing machine comprises an ML inference function.

[1360] As one embodiment, the fifth processing machine comprises an ML testing function.

[1361] As one embodiment, the fifth processing machine comprises performance monitoring / evaluation of the ML model.

[1362] As an embodiment, the fifth processor comprises an inverse operation of the fourth processor.

[1363] As an embodiment, the fourth processor sends first type feedback to the third processor, and the first type feedback is used to trigger re-calculation or update of the target first type parameter group, i.e., trigger ML initial training or ML re-training.

[1364] As an embodiment, the fifth processor sends second type feedback to the second processor, and the second type feedback is used to generate the second data set or the third data set, or the second type feedback is used to trigger sending of the second data set or sending of the third data set.

[1365] As an embodiment, the second processor generates the second data set and the third data set according to measurement of a reference signal.

[1366] As an embodiment, the fourth processor is located at the first node.

[1367] As an embodiment, the fifth processor is located at the first node or the second node.

[1368] As an embodiment, the fourth processor performs the first operation.

[1369] As an embodiment, the fifth processor performs an inverse operation of the first operation.

[1370] As an embodiment, the third data set comprises measurement of RS.

[1371] As an embodiment, the third data set comprises reception of PDSCH.

[1372] As an embodiment, the second data set comprises training data.

[1373] As an embodiment, the second data set comprises the first data set.

[1374] As an embodiment, the third processor is used for training an ML model, and the trained model is described by the target first type parameter group.

[1375] As an embodiment, the third processor is located at the second node.

[1376] The above embodiments support joint training and optimize system performance.

[1377] As an embodiment, the third processor is located at a core network.

[1378] The above embodiments support joint training across the network, further optimizing system performance.

[1379] As one embodiment, the third dataset comprises inference data.

[1380] As one embodiment, the fourth processor constructs a model according to the target first-type parameter group, and then inputs the third dataset into the constructed model to obtain the first-type output.

[1381] As one embodiment, the fourth processor compares real data with the first-type output, and the error obtained is used to generate the first-type feedback.

[1382] As one embodiment, the fourth processor generates the first-type feedback through performance monitoring.

[1383] As one embodiment, the first-type feedback is used to reflect the performance of the trained model; when the performance of the trained model cannot meet the requirements, the third processor recalculates the target first-type parameter group.

[1384] As one embodiment, the fifth processor compares real data with the first-type output, and the error obtained is used to generate the second-type feedback.

[1385] As one embodiment, the fifth processor generates the second-type feedback through performance monitoring.

[1386] As one embodiment, the second-type feedback is used to reflect the performance of the trained model; when the performance of the trained model cannot meet the requirements, the second processor sends the second dataset to trigger or assist the third processor to recalculate the target first-type parameter group.

[1387] As one embodiment, when the error is too large or the update has not been performed for too long a time, the performance of the trained model is considered to be unable to meet the requirements.

[1388] As one embodiment, the target first-type parameter group comprises one or more of a convolution kernel size, a convolution layer number, a convolution step length, a pooling kernel size, a pooling kernel step length, a pooling function, an activation function, or a feature map number.

[1389] As one embodiment, the target first-type parameter group comprises one or more of a convolution kernel, a pooling kernel, a pooling function, an activation function, a parameter of the pooling function, or a parameter of the activation function.

[1390] As one embodiment, the ML comprises AI.

[1391] As an embodiment, the ML comprises ML and AI.

[1392] Embodiment 27

[1393] Embodiment 27 illustrates a schematic diagram based on artificial intelligence or machine learning, according to an embodiment of the application; as shown in FIG. 27. FIG. 27 comprises a second operation, a third operation, a fourth operation, a fifth operation, and a sixth operation. In embodiment 27, the second operation and the third operation belong to a first phase, the fourth operation belongs to a second phase, the fifth operation belongs to a third phase, and the sixth operation belongs to a fourth phase. In FIG. 27, the arrowed line represents the order of the flow.

[1394] As an embodiment, the second operation comprises ML training, the third operation comprises ML testing, the fourth operation comprises ML emulation, the fifth operation comprises ML entity loading, and the sixth operation comprises AI inference.

[1395] As an embodiment, the first phase comprises a training phase, the second phase comprises an emulation phase, the third phase comprises a deployment phase, and the fourth phase comprises an inference phase.

[1396] As an embodiment, the first phase comprises ML model training.

[1397] As an embodiment, the first phase comprises ML model training and ML testing.

[1398] As an embodiment, the ML model training comprises initial training and re-training of one or a set of ML models.

[1399] As an embodiment, the ML model training relies on training data.

[1400] As an embodiment, the ML model training comprises ML entity validation.

[1401] As an embodiment, the ML entity validation is used to evaluate the performance of the ML entity.

[1402] As one embodiment, the ML entity validation relies on validation data.

[1403] As one embodiment, if the result of the ML entity validation does not meet the expectation, the ML model will be retrained.

[1404] As one embodiment, the ML testing includes testing the validated ML entity to estimate the performance of the trained ML model.

[1405] As one embodiment, if the result of the ML testing meets the expectation, the ML entity proceeds to the next stage; otherwise, the ML model will be retrained.

[1406] As one embodiment, the ML testing relies on testing data.

[1407] As one embodiment, the second stage includes ML simulation, which simulates the inference of the ML entity in a simulation environment.

[1408] As one embodiment, the ML simulation estimates the performance of the inference of the ML entity in a simulation environment before the ML entity is used.

[1409] As one embodiment, the second stage is optional.

[1410] As one embodiment, the third stage includes ML entity loading, which is to obtain the trained ML entity to obtain the desired AI inference function.

[1411] As one embodiment, the third stage is optional.

[1412] As one embodiment, the third stage is not needed when the training function and the inference function are co-located.

[1413] As one embodiment, the fourth stage includes AI inference.

[1414] As one embodiment, the ML includes AI.

[1415] As one embodiment, the AI includes ML.

[1416] Embodiment 28

[1417] Embodiment 28 illustrates a diagram of AI function deployment according to one embodiment of the present application; as shown in FIG. 28.

[1418] In embodiment 28, the AI training function of the RAN (Radio Access Network) domain is located in a 3GPP RAN domain-specific management function, while the AI inference function is located in a UE.

[1419] In embodiment 28, the RAN domain-specific management function provides the AI training function management capability and the AI inference function management capability.

[1420] Embodiment 29

[1421] Embodiment 29 illustrates a schematic diagram of AI function deployment according to one embodiment of the present application; as shown in FIG. 29.

[1422] In embodiment 29, the AI training function is located in a RAN domain-specific management function, and the AI inference function is located locally in a UE.

[1423] In embodiment 29, the AI training function management capability is provided by the RAN domain-specific management function, and the AI inference management capability is provided locally by the UE.

[1424] In FIG. 29, MnF refers to Management Function.

[1425] Embodiment 30

[1426] Embodiment 30 illustrates a structural block diagram of a processing apparatus in a first node according to one embodiment of the present application; as shown in FIG. 30. In FIG. 30, the processing apparatus 3000 in the first node includes a receiver 3001 and a first transmitter 3002.

[1427] In embodiment 30, the first receiver 3001 measures on at least a first RS resource, and the first transmitter 3002 transmits a first information block and at least first channel information.

[1428] In embodiment 30, the at least first channel information depends on the 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.

[1429] As a preferred embodiment, the first channel information includes PMI.

[1430] As a preferred embodiment, the first channel information is used to determine at least one precoding matrix.

[1431] As a preferred embodiment, the first channel information comprises codebook-based PMI.

[1432] As an embodiment, 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 embodiment, at least one of the first receiver 3001 and the first transmitter 3002 deploys the first operation.

[1434] As an embodiment, at least one of the first receiver 3001 and the first transmitter 3002 performs the first operation.

[1435] As an 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 an 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 embodiment, the at least first channel information comprises K1 channel information, K1 being a positive integer greater than 1, the first channel information being one of the K1 channel information; the first parameter set is used to generate the K1 channel information, the K1 channel information being respectively for 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.

[1438] As a sub-embodiment of the above embodiment, the first parameter set is used to generate any channel information in the at least first channel information, which is for a time-frequency resource located within the first time-frequency resource pool.

[1439] As an embodiment, the at least first channel information comprises 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.

[1440] As an embodiment, the at least first channel information comprises K1 channel information and K2 channel information, K1 and K2 are positive integers greater than 1 respectively, the first channel information is one of the K1 channel information, 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 embodiment, the K1 channel information is respectively for K1 time-frequency resources, the K2 channel information is respectively for K2 time-frequency resources, the K1 time-frequency resources all belong to a first time-frequency resource pool, and the K2 time-frequency resources all belong to a 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 embodiment, the at least first channel information belongs to a first data set.

[1443] As an embodiment, the at least first channel information is transmitted on a first radio bearer, and the first radio bearer is a new radio bearer other than the radio bearers supported by 3GPP R19.

[1444] As an embodiment, the at least first channel information is associated to a first identifier, and a first operation is associated to the first identifier, and the first operation comprises reasoning.

[1445] As an embodiment, the first node is a terminal.

[1446] As an embodiment, the first node is a user equipment.

[1447] As an embodiment, the first node is a relay node device.

[1448] As an embodiment, the first receiver 3001 comprises at least one of the {antenna 452, receiver 454, receiving processor 456, multi-antenna receiving processor 458, controller / processor 459, memory 460, data source 467} in embodiment 4.

[1449] As an embodiment, the first transmitter 3002 comprises at least one of the {antenna 452, transmitter 454, transmitting processor 468, multi-antenna transmitting processor 457, controller / processor 459, memory 460, data source 467} in embodiment 4.

[1450] Embodiment 31

[1451] Embodiment 31 illustrates a structural block diagram of a processing apparatus in a second node according to an embodiment of the present application; as shown in Figure 31. In Figure 31, the processing apparatus 3100 in the second node comprises 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 is dependent on a measurement on at least first RS resources; a first set of parameters is used to generate the first channel information, and the first information block indicates the first set of parameters.

[1454] As a preferred embodiment, the first channel information comprises a PMI.

[1455] As a preferred embodiment, the first channel information is used to determine at least one precoding matrix.

[1456] As a preferred embodiment, the first channel information comprises a codebook-based PMI.

[1457] As an embodiment, the first processor 3101 transmits on the at least first RS resources.

[1458] As an embodiment, the first processor 3101 transmits a first configuration information block, the first configuration information block indicating at least one of configuration information of the at least first RS resources or the at least first channel information.

[1459] As an embodiment, the first channel information is for a first time-frequency resource, and the first set of parameters is dependent on the first time-frequency resource.

[1460] As an 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 embodiment, the at least first channel information comprises K1 channel information, K1 being a positive integer greater than 1, and the first channel information being one of the K1 channel information; the first set of parameters is used to generate the K1 channel information, the K1 channel information being respectively for 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.

[1462] As one embodiment, the at least first channel information comprises second channel information, the first channel information is for first time-frequency resources, the second channel information is for second time-frequency resources, a second set of parameters is used to generate the second channel information, the first set of parameters is different from the second set of parameters, and the first information block indicates the second set of parameters.

[1463] As one embodiment, the at least first channel information comprises K1 channel information and K2 channel information, K1 and K2 are positive integers greater than 1 respectively, 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 set of parameters is used to generate the K1 channel information, and the second set of parameters is used to generate the K2 channel information.

[1464] As one embodiment, the K1 channel information is respectively for K1 time-frequency resources, the K2 channel information is 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 a length of the first time-frequency resource pool is different from a length of the second time-frequency resource pool.

[1465] As one embodiment, the at least first channel information belongs to a first data set.

[1466] As one embodiment, the at least first channel information is transmitted on a first radio bearer, and the first radio bearer is a new radio bearer other than a radio bearer supported by 3GPP R19.

[1467] As one embodiment, the at least first channel information is associated to a first identifier, and a first operation is associated to the first identifier, the first operation comprising reasoning.

[1468] As one embodiment, the second node comprises a base station.

[1469] As one embodiment, the second node comprises a base station device.

[1470] As one embodiment, the second node comprises a relay node device.

[1471] As one embodiment, the second node comprises a maintenance base station of a serving cell of the first node.

[1472] As one embodiment, the second node comprises an OTT server (Over-The-Top server).

[1473] As one embodiment, the second node provides an OAM (Operation Administration and Maintenance).

[1474] As one embodiment, the second node comprises a NAS (Network Access Server).

[1475] As one embodiment, the second node comprises a NAS device.

[1476] As one embodiment, the second node provides a network access service.

[1477] As one embodiment, the second node comprises a core network device.

[1478] As one embodiment, the second node comprises a base station device and a core network device.

[1479] As one embodiment, the second node comprises a base station device and a NAS device.

[1480] As one embodiment, the second node comprises an MDA function producer.

[1481] As one embodiment, the second node comprises a NWDAF producer.

[1482] As one embodiment, the second node comprises an MDAS producer.

[1483] As one embodiment, the second node comprises an MnS producer.

[1484] As one embodiment, the first processor 3101 comprises at least one of {antenna 420, receiver / transmitter 418, receive processor 470, transmit processor 416, multiple antenna receive processor 472, multiple antenna transmit processor 471, controller / processor 475, memory 476} in embodiment 4.

[1485] Those skilled in the art can understand that all or part of the steps in the foregoing method can be instructed by programs to the relevant hardware, and the programs can be stored in a computer readable storage medium, such as a read-only memory, a hard disk, an optical disk or the like. Alternatively, all or part of the steps of the foregoing embodiments can also be implemented using one or more integrated circuits. Correspondingly, each module unit in the foregoing embodiments can be implemented in the form of hardware or in the form of a software function module, and the present application is not limited to any specific form of combination of software and hardware. The user equipment, terminal and UE in the present application include but are not limited to unmanned aerial vehicles, communication modules on unmanned aerial vehicles, remote control aircraft, aircraft, small aircraft, mobile phones, tablet computers, notebooks, vehicle-mounted communication devices, vehicles, vehicles, RSUs, wireless sensors, network cards, Internet of Things terminals, RFID terminals, NB-IOT terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, network cards, vehicle-mounted communication devices, low-cost mobile phones, low-cost tablet computers and other wireless communication devices. The base station or system device in the present application includes but is not limited to macro cellular base stations, micro cellular base stations, small cellular base stations, home base stations, relay base stations, eNBs, gNBs, TRPs (Transmitter Receiver Points), GNSSs, relay satellites, satellite base stations, air base stations, RSUs (Road Side Units), unmanned aerial vehicles, test equipment such as wireless communication devices that simulate part of the functions of base stations or signaling testers, and the like.

[1486] Those skilled in the art will understand that the application can be implemented by other specified forms without departing from the core or essential characteristics thereof. Therefore, the presently disclosed embodiments should in no way be considered as descriptive rather than limiting. The scope of the application is determined by the appended claims rather than the preceding description, and all modifications within the equivalent meaning and range of the claims are considered to be included therein.

Claims

1. A first node for wireless communication, the first node comprising: Comprising: a first receiver, measuring on at least first RS resources; a first transmitter, transmitting a first information block and at least first channel information; wherein the at least first channel information depends on the measurement on the at least first RS resources; 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 of claim 1, characterized in that, The first channel information is for a first time-frequency resource, and the first parameter set depends on the first time-frequency resource.

3. The first node of claim 1 or 2, wherein, The first channel information is for a first time-frequency resource, and the first information block indicates the first time-frequency resource.

4. The first node of any of claims 1 to 3, wherein, The at least first channel information includes K1 channel information, K1 being a positive integer greater than 1, the first channel information being one of the K1 channel information; the first parameter set is used to generate the K1 channel information, the K1 channel information being respectively for 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.

5. The first node of any of claims 1 to 4, wherein, The at least first channel information includes second channel information, the first channel information being for a first time-frequency resource, and the second channel information being for a second time-frequency resource; a second parameter set is 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.

6. The first node of claim 5, wherein, The at least first channel information includes K1 channel information and K2 channel information, K1 and K2 each being a positive integer greater than 1, the first channel information being one of the K1 channel information, and the second channel information being 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 of claim 6, wherein, The K1 channel information is respectively for K1 time-frequency resources, and the K2 channel information is respectively for K2 time-frequency resources, the K1 time-frequency resources all belonging to a first time-frequency resource pool, and the K2 time-frequency resources all belonging to a second time-frequency resource pool, a length of the first time-frequency resource pool being different from a length of the second time-frequency resource pool.

8. The first node of any of claims 1-7, wherein, The at least first channel information belongs to a first data set.

9. The first node of any of claims 1-8, wherein, The at least first channel information is transmitted on a first radio bearer, the first radio bearer being a new radio bearer other than radio bearers supported by 3GPP R19.

10. The first node of any of claims 1 to 9, wherein, The at least first channel information is associated to a first identifier, and a first operation is associated to the first identifier, the first operation including reasoning.

11. A second node for use in wireless communication, the second node being configured to: Comprising: a first processor, receiving a first information block and at least first channel information; wherein the at least first channel information depends on measurement on at least first RS resources; a first parameter set is used to generate the first channel information, and the first information block indicates the first parameter set.

12. The second node of claim 11, wherein, The first channel information is for a first time-frequency resource, and the first parameter set depends on the first time-frequency resource.

13. The second node of claim 11 or 12, wherein, The first channel information is for a first time-frequency resource, and the first information block indicates the first time-frequency resource.

14. The second node of any of claims 11 to 13, wherein, The at least first channel information comprises K1 channel information, K1 being a positive integer greater than 1, the first channel information being one of the K1 channel information; the first parameter set is used to generate the K1 channel information, the K1 channel information being respectively for K1 time-frequency resources, the K1 time-frequency resources all belonging to a first time-frequency resource pool, the first information block indicating the first time-frequency resource pool.

15. The second node of any of claims 11 to 14, wherein, The at least first channel information comprises 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, the first information block indicating the second parameter set.

16. The second node of claim 15, wherein, The at least first channel information comprises K1 channel information and K2 channel information, K1 and K2 being respectively a positive integer greater than 1, the first channel information being one of the K1 channel information, the second channel information being one of the K2 channel information; the first parameter set is used to generate the K1 channel information, the second parameter set is used to generate the K2 channel information.

17. The second node of claim 16, wherein, The K1 channel information is respectively for K1 time-frequency resources, the K2 channel information is respectively for K2 time-frequency resources, the K1 time-frequency resources all belonging to a first time-frequency resource pool, the K2 time-frequency resources all belonging to a second time-frequency resource pool, a length of the first time-frequency resource pool being different from a length of the second time-frequency resource pool.

18. The second node of any of claims 11 to 17, wherein, The at least first channel information belongs to a first data set.

19. The second node of any of claims 11 to 18, wherein, The at least first channel information is transmitted on a first radio bearer, the first radio bearer being a new radio bearer in addition to radio bearers supported by 3GPP R19.

20. The second node of any of claims 11-19, wherein, The at least first channel information is associated to a first identity, a first operation being associated to the first identity, the first operation comprising reasoning.

21. A method in a first node used for wireless communication, characterized by, Comprise: Measuring on at least first RS resources; Transmitting a first information block and at least first channel information; Wherein, the at least first channel information depends on the measurement on the at least first RS resources; a first parameter set is used to generate the first channel information, the first information block indicating the first parameter set.

22. A method in a first node according to claim 21, characterised by, The first channel information is for a first time-frequency resource, the first parameter set depending on the first time-frequency resource.

23. A method in a first node according to claim 21 or 22, characterized by, The first channel information is for a first time-frequency resource, the first information block indicating the first time-frequency resource.

24. A method in a first node according to any of claims 21 - 23, characterized by, The at least first channel information comprises K1 channel information, K1 being a positive integer greater than 1, the first channel information being one of the K1 channel information; the first parameter set is used to generate the K1 channel information, the K1 channel information being respectively for K1 time-frequency resources, the K1 time-frequency resources all belonging to a first time-frequency resource pool, the first information block indicating the first time-frequency resource pool.

25. A method in a first node according to any of claims 21 - 24, characterized by, The at least first channel information comprises second channel information, the first channel information is for first time-frequency resources, the second channel information is for second time-frequency resources, 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.

26. A method in a first node according to claim 25, characterised by, The at least first channel information comprises K1 channel information and K2 channel information, K1 and K2 are positive integers greater than 1 respectively, 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.

27. A method in a first node according to claim 26, characterised by, The K1 channel information is respectively for K1 time-frequency resources, the K2 channel information is 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 a length of the first time-frequency resource pool is different from a length of the second time-frequency resource pool.

28. A method in a first node according to any of claims 21 - 27, characterized by, The at least first channel information belongs to a first data set.

29. A method in a first node according to any of claims 21 - 28, characterized by, The at least first channel information is transmitted on a first radio bearer, and the first radio bearer is a new radio bearer in addition to radio bearers supported by 3GPP R19.

30. A method in a first node according to any of claims 21 - 29, characterized by, The at least first channel information is associated with a first identifier, and a first operation is associated with the first identifier, the first operation comprising reasoning.

31. A method in a second node used for wireless communication, characterized by, Comprising: Receiving a first information block and at least first channel information; The at least first channel information depends on measurement on at least first RS resources. A first parameter set is used to generate the first channel information, and the first information block indicates the first parameter set.

32. A method in a second node according to claim 31, characterised by, The first channel information is for first time-frequency resources, and the first parameter set depends on the first time-frequency resources.

33. A method in a second node according to claim 31 or 32, characterized by, The first channel information is for first time-frequency resources, and the first information block indicates the first time-frequency resources.

34. A method in a second node according to any of claims 31 - 33, characterized by, The at least first channel information comprises K1 channel information, 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 is respectively for K1 time-frequency resources, the K1 time-frequency resources all belong to a first time-frequency resource pool, and the first information block indicates the first time-frequency resource pool.

35. A method in a second node according to any of claims 31 - 34, characterized by, The at least first channel information comprises second channel information, the first channel information is for first time-frequency resources, the second channel information is for second time-frequency resources, 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.

36. A method in a second node according to claim 35, characterised by, The at least first channel information comprises K1 channel information and K2 channel information, K1 and K2 are positive integers greater than 1 respectively, 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.

37. A method in a second node according to claim 36, characterised by, The K1 channel information is respectively for K1 time-frequency resources, the K2 channel information is respectively for K2 time-frequency resources, the K1 time-frequency resources all belong to a first time-frequency resource pool, and the K2 time-frequency resources all belong to a second time-frequency resource pool, and a length of the first time-frequency resource pool is different from a length of the second time-frequency resource pool.

38. A method in a second node according to any of the claims 31 - 37, characterized by, The at least first channel information belongs to a first data set.

39. A method in a second node according to any of claims 31 - 38, characterized by, The at least first channel information is transmitted on a first radio bearer, and the first radio bearer is a new radio bearer in addition to radio bearers supported by 3GPP R19.

40. A method in a second node according to any of claims 31 - 39, characterized by, The at least first channel information is associated with a first identifier, and a first operation is associated with the first identifier, and the first operation comprises reasoning.

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