Information reporting method and apparatus for node used for wireless communication

Abstract

The present application discloses a channel information reporting method and apparatus for a node used for wireless communication. A first node receives a first information set, the first information set being used for configuring N instances of first-type channel information reporting, N being a positive integer greater than 1, and one instance of first-type channel information reporting being associated with one first-type identifier; and processes only M instances of first-type channel information reporting among the N instances of first-type channel information reporting, M being a positive integer less than N. The determination of the M instances of first-type channel information reporting depends on the first-type identifier associated with at least one of the N instances of first-type channel information reporting.

Description

Method and apparatus for information reporting in a node used for wireless communication TECHNICAL FIELD

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

[0002] In a conventional wireless communication, a UE (User Equipment) obtains channel information by measuring a downlink reference signal. The channel information includes, but is not limited to, one or more of CRI (CSI-RS Resource Indicator), RI (Rank Indicator), PMI (Precoding Matrix Indicator) or CQI (Channel quality indicator).

[0003] With the adoption of new technologies, the increase in the number of antennas, the diversification of application scenarios and the improvement of system performance requirements, the traditional measurement and reporting method will bring a large amount of redundant overhead. Therefore, in NR R(release)18, the research on AI(Artificial Intelligence) / ML(Machine Learning) technology is launched to explore its impact on system performance and system design. Compared with the traditional processing method, AI / ML has the characteristics of being based on training and needing to be deployed. SUMMARY

[0004] The applicant found through research that when AI / ML functions are introduced, the existing measurement mechanism, reporting mechanism and related configuration signaling related to channel information may not be able to meet the needs of AI / ML. In view of the above problems, the present application discloses a solution. It should be noted that although a large number of embodiments of the present application are developed for AI / ML, the present application is also applicable to other schemes, such as traditional channel information reporting schemes. In addition, the use of a unified solution in different scenarios(including but not limited to AI / ML-based schemes and traditional information reporting schemes) helps to 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] As an embodiment, the explanation of the terms in the present application is based on the definition of the specification agreement TS38 series of 3GPP.

[0006] As an embodiment, the explanation of the terms in this application is referred to the definition of the specification protocol TS28 series of 3GPP.

[0007] The application discloses a method in a first node used for wireless communication, characterized in comprising:

[0008] receiving a first information set used for configuring N first type channel information reports, N is a positive integer greater than 1, one first type channel information report is associated to one first type identifier;

[0009] processing only M first type channel information reports in the N first type channel information reports, M is a positive integer less than N;

[0010] wherein the determination of the M first type channel information reports depends on the first type identifier associated to at least one first type channel information report in the N first type channel information reports.

[0011] As an embodiment, the problem to be solved by the application includes: how to determine the channel information reports to be processed.

[0012] As an embodiment, in the above method, the selection of the channel information reports to be processed is related to the first type identifier associated thereto.

[0013] As an embodiment, the benefits of the above method include: ensuring the consistent understanding of the channel information processing by the transceiver end.

[0014] As an embodiment, the benefits of the above method include: better adapting to various different application scenarios or terminals, and having good flexibility and adaptability.

[0015] According to an aspect of the application, the first node is a user equipment.

[0016] According to an aspect of the application, the first node is a relay node.

[0017] According to claim 1, the N first type channel information reports start to occupy processing units on the same symbol; or start to calculate or generate for the N first type channel information reports on the same symbol.

[0018] According to an aspect of the application, the determination of the M first type channel information reports depends on the first type identifier associated to a first reference report, the first reference report being one of the N first type channel information reports.

[0019] As an embodiment, benefits of the above method include: simplified design, better adaptation to various application scenarios, and good flexibility.

[0020] According to an aspect of the present application, the M first type channel information reports include at least one first type channel information report in the N first type channel information reports that satisfies a first condition; the first condition includes that the associated first type identifier is the same as a first reference report associated first type identifier; and the first reference report is one of the N first type channel information reports.

[0021] As an embodiment, benefits of the above method include: simplified design.

[0022] As an embodiment, benefits of the above method include: better adaptation to various application scenarios, and good flexibility.

[0023] According to an aspect of the present application, the M first type channel information reports further include at least one first type channel information report in the N first type channel information reports that satisfies a second condition; the second condition includes that the associated first type identifier is the same as a second reference report associated first type identifier; and the second reference report is one of the N first type channel information reports, and the second reference report associated first type identifier is different from the first reference report associated first type identifier.

[0024] As an embodiment, benefits of the above method include: simplified design.

[0025] As an embodiment, benefits of the above method include: better adaptation to various application scenarios, and good flexibility.

[0026] As an embodiment, benefits of the above method include: better adaptation to various processing capabilities.

[0027] According to an aspect of the present application, the M first type channel information reports satisfy a third condition, and the third condition includes that the total number of processing units occupied by the M first type channel information reports is less than or equal to a first reference positive integer.

[0028] As an embodiment, benefits of the above method include: better adaptation to various processing capabilities.

[0029] As an embodiment, benefits of the above method include: better adaptation to various application scenarios, and good flexibility.

[0030] According to an aspect of the present application, the M first type channel information reports are respectively associated with M first type identifiers; the M first type channel information reports satisfy a fourth condition, and the fourth condition comprises that the number of different first type identifiers in the M first type identifiers is less than or equal to a first maximum integer.

[0031] As an embodiment, the above method has the advantages of simplifying the design.

[0032] As an embodiment, the above method has the advantages of better adapting to various application scenarios and having good flexibility.

[0033] As an embodiment, the above method has the advantages of better adapting to various processing capabilities.

[0034] As an embodiment, the above method has the advantages of better adapting to various terminal capabilities.

[0035] According to an aspect of the present application, the generation mode of the first type channel information report is based on training or AI.

[0036] As an embodiment, the above method has the advantages of better adapting to various application scenarios or terminals and having good flexibility and adaptability.

[0037] As an embodiment, the above method has the advantages of improving the accuracy and real-time performance of channel information reporting.

[0038] According to an aspect of the present application, the configuration information of the first type channel information report indicates a first type resource set, the first type resource set comprises at least one RS resource used for measurement of the first type channel information report; and the first type channel information report indicates at least one resource in a second type resource set, the second type resource set comprises resources not belonging to the first type resource set.

[0039] As an embodiment, the above method has the advantages of AI-based generation mode, which can reduce the overhead required to obtain channel information.

[0040] As an embodiment, the above method has the advantages of AI-based generation mode, which can reduce the measurement resources required to obtain channel information.

[0041] According to an aspect of the present application, the association of the one first type channel information report to the one first type identifier comprises that the configuration information of the first type channel information report indicates one first type identifier, and the first type identifier associated with the first type channel information report is the first type identifier indicated by the configuration information of the first type channel information report.

[0042] As an embodiment, the benefits of the above method include: simplifying the design, and configuring the first type of channel information reporting flexibly associated with a first type of identifier.

[0043] According to an aspect of the present application, the first type of channel information reporting is associated with a first type of identifier, including: the first node or the target receiver of the first information set performs a first operation, the first type of channel information reporting depends on the output of the first operation, and the first operation is associated with the first type of identifier.

[0044] According to an aspect of the present application, the first type of channel information reporting is associated with a first type of identifier, including: the first type of channel information reporting uses an AI model identified by the first type of identifier, or the first type of channel information reporting is generated by an AI entity identified by the first type of identifier, or the first type of channel information reporting is used for an AI function identified by the first type of identifier.

[0045] As an embodiment, the AI (Artificial Intelligence) includes ML (Machine Learning).

[0046] As an embodiment, the AI includes ML (Machine Learning).

[0047] According to an aspect of the present application, the output of the first operation includes first CSI, the first type of channel information reporting carries the first CSI, and the first CSI is used by the sender of the first information set as the input of a second operation to generate second CSI.

[0048] According to an aspect of the present application, it includes:

[0049] Deploy the first operation.

[0050] As an embodiment, the benefits of the above method include that the first node is reserved sufficient freedom, which is suitable for various different scenarios and terminals, and has adaptability and flexibility.

[0051] As an embodiment, the benefits of the above method include that the training of the first operation can not be performed at the first node, reducing the demand for processing capacity and power consumption of the first node.

[0052] The present application discloses a method used in a second node for wireless communication, characterized by comprising:

[0053] transmitting a first information set, the first information set being used for configuring N first-type channel information reports, N being a positive integer greater than 1, one first-type channel information report being associated to one first-type identifier; receiving at least M first-type channel information reports from the N first-type channel information reports, M being a positive integer smaller than N;

[0054] wherein a target receiver of the first information set processes only the M first-type channel information reports from the N first-type channel information reports; the determination of the M first-type channel information reports depends on the first-type identifier associated to at least one first-type channel information report from the N first-type channel information reports.

[0055] According to an aspect of the present application, the second node is a base station.

[0056] According to an aspect of the present application, the second node is a user equipment.

[0057] According to an aspect of the present application, the second node is a relay node.

[0058] According to an aspect of the present application, the N first-type channel information reports start occupying processing units at a same symbol; or start being calculated or generated at a same symbol.

[0059] According to an aspect of the present application, the determination of the M first-type channel information reports depends on the first-type identifier associated to a first reference report, the first reference report being one of the N first-type channel information reports.

[0060] According to an aspect of the present application, the M first-type channel information reports comprise at least one first-type channel information report from the N first-type channel information reports satisfying a first condition; the first condition comprises that the first-type identifier associated to the at least one first-type channel information report is the same as the first-type identifier associated to a first reference report, the first reference report being one of the N first-type channel information reports.

[0061] According to an aspect of the present application, the M first-type channel information reports further comprise at least one first-type channel information report from the N first-type channel information reports satisfying a second condition; the second condition comprises that the first-type identifier associated to the at least one first-type channel information report is the same as the first-type identifier associated to a second reference report, the second reference report being one of the N first-type channel information reports, the first-type identifier associated to the second reference report being different from the first-type identifier associated to the first reference report.

[0062] According to an aspect of the present application, the M first-type channel information reports satisfy a third condition, and the third condition comprises that a total number of processing units occupied by the M first-type channel information reports is less than or equal to a first reference positive integer.

[0063] According to an aspect of the present application, the M first-type channel information reports are respectively associated with M first-type identifiers; and the M first-type channel information reports satisfy a fourth condition, and the fourth condition comprises that a number of different first-type identifiers in the M first-type identifiers is less than or equal to a first maximum integer.

[0064] According to an aspect of the present application, the first-type channel information report is generated in a manner based on training or based on AI.

[0065] According to an aspect of the present application, configuration information of the first-type channel information report indicates a first-type resource set, the first-type resource set comprises at least one RS resource used for measurement of the first-type channel information report; and the first-type channel information report indicates at least one resource in a second-type resource set, the second-type resource set comprises resources not belonging to the first-type resource set.

[0066] According to an aspect of the present application, the one first-type channel information report is associated with one first-type identifier, which comprises that configuration information of the first-type channel information report indicates one first-type identifier, and the first-type identifier associated with the first-type channel information report is the first-type identifier indicated by the configuration information of the first-type channel information report.

[0067] According to an aspect of the present application, the one first-type channel information report is associated with one first-type identifier, which comprises that the target receiver of the first information set performs a first operation, the first-type channel information report depends on an output of the first operation, and the first operation is associated with the first-type identifier.

[0068] According to an aspect of the present application, the one first-type channel information report is associated with one first-type identifier, which comprises that a generation manner of the first-type channel information report uses an AI model identified by the first-type identifier, or the first-type channel information report is generated by an AI entity identified by the first-type identifier, or the first-type channel information report is used for an AI function identified by the first-type identifier.

[0069] According to an aspect of the present application, the method comprises:

[0070] performing a second operation;

[0071] The output of the first operation includes first CSI, the first type of channel information report carries the first CSI, and the first CSI is used as input of a second operation to generate second CSI.

[0072] According to an aspect of the present application, it is characterized in that comprising:

[0073] Deploying the second operation.

[0074] As an embodiment, the benefits of the above method include that sufficient degrees of freedom are reserved for the second node, which is adaptive and flexible to various scenarios and terminals.

[0075] As an embodiment, the benefits of the above method include that training for the second operation can not be performed at the second node, reducing the demand for processing capability and power consumption of the second node.

[0076] As an embodiment, the second operation is based on training or AI.

[0077] As an embodiment, the second operation is obtained by loading.

[0078] The present application discloses a first node for wireless communication, characterized in that comprising:

[0079] A first receiver receives a first information set, which is used to configure N first type of channel information reports, N is a positive integer greater than 1, and one first type of channel information report is associated with one first type of identifier;

[0080] A first processor processes only M first type of channel information reports in the N first type of channel information reports, M is a positive integer less than N;

[0081] The determination of the M first type of channel information reports depends on the first type of identifier associated with at least one first type of channel information report in the N first type of channel information reports.

[0082] The present application discloses a second node for wireless communication, characterized in that comprising:

[0083] A second processor transmits a first information set, which is used to configure N first type of channel information reports, N is a positive integer greater than 1, and one first type of channel information report is associated with one first type of identifier; and receives at least M first type of channel information reports in the N first type of channel information reports, M is a positive integer less than N;

[0084] The target receiver of the first information set processes only the M first type channel information reports in the N first type channel information reports; and the determination of the M first type channel information reports depends on the first type identifier associated with at least one first type channel information report in the N first type channel information reports.

[0085] As an embodiment, compared with the conventional scheme, the present application has the following advantages:

[0086] The consistency of understanding of the processing of the channel information by the transceiver is ensured.

[0087] The application better adapts to various application scenarios, and improves the flexibility and adaptability.

[0088] The application better adapts to various terminals, and has good flexibility.

[0089] The application has higher channel information accuracy and real-time performance, and enhanced overall system performance.

[0090] The application has lower air interface overhead.

[0091] The application has more flexible and diverse channel generation methods.

[0092] The application has better flexibility and adaptability.

[0093] The application has enhanced reliability and robustness. BRIEF DESCRIPTION OF DRAWINGS

[0094] Other features, objects and advantages of the present application will become more apparent from the following detailed description of non-limiting embodiments thereof, read in conjunction with the accompanying drawings:

[0095] Fig. 1 shows a flowchart of a first information set and a first type channel information report according to an embodiment of the present application;

[0096] Fig. 2 shows a schematic diagram of a network architecture according to an embodiment of the present application;

[0097] Fig. 3 shows a schematic diagram of an embodiment of a radio protocol architecture for the user plane and control plane according to an embodiment of the present application;

[0098] Fig. 4 shows a schematic diagram of a first communication device and a second communication device according to an embodiment of the present application;

[0099] Fig. 5 shows a transmission between a first node and a second node according to an embodiment of the present application;

[0100] Figs. 6A-6B respectively show a schematic diagram of a first type channel information report according to an embodiment of the present application;

[0101] FIG. 7 shows a diagram of first type of channel information reporting and second CSI according to one embodiment of the application;

[0102] FIGS. 8A-8B show diagrams of a first operation according to one embodiment of the application, respectively;

[0103] FIG. 9 shows a diagram of a first node deploying a first operation according to one embodiment of the application;

[0104] FIGS. 10A-10C show diagrams of a first type of channel information reporting being associated to a first type of identification according to one embodiment of the application, respectively;

[0105] FIG. 11 shows a diagram of N first type of channel information reporting according to one embodiment of the application;

[0106] FIGS. 12A-12B show diagrams of M first type of channel information reporting according to one embodiment of the application, respectively;

[0107] FIGS. 13A-13B show diagrams of M first type of channel information reporting according to another embodiment of the application, respectively;

[0108] FIG. 14 shows a diagram of a relationship between M first type of channel information reporting and a third condition according to one embodiment of the application;

[0109] FIG. 15 shows a diagram of a relationship between M first type of channel information reporting and a fourth condition according to one embodiment of the application;

[0110] FIG. 16 shows a diagram of an artificial intelligence or machine learning based processing system according to one embodiment of the application;

[0111] FIG. 17 shows a diagram of an artificial intelligence or machine learning according to one embodiment of the application;

[0112] FIG. 18 shows a structural block diagram of a processing device for use in a first node according to one embodiment of the application;

[0113] FIG. 19 shows a structural block diagram of a processing device for use in a second node according to one embodiment of the application;

[0114] FIG. 20 shows a diagram of first CSI and first type of channel information reporting according to one embodiment of the application. DETAILED DESCRIPTION

[0115] The technical solutions of the present application will be further described in detail below with reference to the 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. 20, the embodiments in FIG. 5 and the embodiments in FIG. 6-FIG. 20, etc.

[0116] Embodiment 1

[0117] Embodiment 1 illustrates a flowchart of the first information set and the first type of channel information reporting 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 the steps in the blocks does not represent a specific time sequence between the steps.

[0118] In embodiment 1, the first node receives a first information set in step 101; and processes only M first type of channel information reports in N first type of channel information reports in step 102; wherein the first information set is used to configure N first type of channel information reports, N is a positive integer greater than 1, one first type of channel information report is associated with one first type of identifier; M is a positive integer less than N; the determination of the M first type of channel information reports depends on the first type of identifier associated with at least one first type of channel information report in the N first type of channel information reports.

[0119] As an embodiment, the first information set is carried by higher layer signaling.

[0120] As an embodiment, the first information set is carried by RRC (Radio Resource Control) signaling.

[0121] As an embodiment, the first information set includes one RRC IE (Information Element).

[0122] As an embodiment, the first information set includes a plurality of RRC IEs.

[0123] As an embodiment, the first information set includes part or all of the fields in one or more RRC IEs.

[0124] As an embodiment, the first information set includes N RRC IEs, and the N RRC IEs are respectively used to configure N first type of channel information reports. As an embodiment, the first information set includes N RRC IEs, and the N RRC IEs are respectively used to configure N first type of channel information reports.

[0125] As an embodiment, the first information set comprises one or more IEs CSI-ReportConfig.

[0126] As an embodiment, the first information set comprises part or all fields in one or more IEs CSI-ReportConfig.

[0127] As an embodiment, the first information set comprises N IEs CSI-ReportConfig, which are respectively used to configure N first type channel information reporting.

[0128] As an embodiment, the first information set comprises part or all fields in IE ServingCellConfig.

[0129] As an embodiment, the first information set comprises part or all fields in IE CSI-MeasConfig IE.

[0130] As an embodiment, the first information set comprises part or all fields in IE ServingCellConfigCommon IE.

[0131] As an embodiment, the first information set comprises part or all fields in IE ServingCellConfig.

[0132] As an embodiment, the first information set comprises configuration information of each of the N first type channel information reporting.

[0133] As an embodiment, the first information set comprises N information blocks, which are respectively used to configure N first type channel information reporting.

[0134] As an embodiment, the first information set comprises N information blocks, which respectively comprise configuration information of N first type channel information reporting.

[0135] As an embodiment, the N information blocks belong to one RRC IE.

[0136] As an embodiment, two of the N information blocks belong to different RRC IEs.

[0137] As an embodiment, the N information blocks respectively comprise N RRC IEs.

[0138] As an embodiment, the N information blocks belong to one IE CSI-ReportConfig.

[0139] As one embodiment, the N pieces of information respectively comprise N IEs CSI-ReportConfig.

[0140] As one embodiment, the configuration information of the first type of channel information reporting comprises part or all of the fields in at least one RRC IE.

[0141] As one embodiment, the configuration information of the first type of channel information reporting comprises part or all of the fields in one RRC IE.

[0142] As one embodiment, the configuration information of the first type of channel information reporting comprises part or all of the fields in one IE CSI-ReportConfig.

[0143] As one embodiment, the configuration information of the first type of channel information reporting at least indicates at least one of the following: RS resource used for channel measurement, RS resource used for interference channel measurement, reporting type, reporting quantity.

[0144] As one embodiment, the configuration information of the first type of channel information reporting at least indicates at least one of the following: first type of resource set, reporting type, reporting quantity; the first type of resource set comprises at least one RS resource used for measurement of the first type of channel information reporting.

[0145] As one embodiment, the configuration information of the first type of channel information reporting at least indicates at least one of the following: first type of resource set, second type of resource set, reporting type, reporting quantity; the first type of resource set comprises at least one RS resource used for measurement of the first type of channel information reporting.

[0146] As one embodiment, the measurement for the first type of channel information reporting refers to channel measurement for the first type of channel information reporting.

[0147] As one embodiment, the measurement for the first type of channel information reporting refers to channel measurement and interference measurement for the first type of channel information reporting.

[0148] As one sub-embodiment of the above embodiment, the reporting type indicates at least periodic reporting, semi-persistent reporting, aperiodic reporting, or event-triggered reporting.

[0149] As one sub-embodiment of the above embodiment, the reporting type indicates at least periodic reporting, semi-persistent reporting, or aperiodic reporting.

[0150] As one sub-example of the above embodiment, the reporting quantity comprises at least one of resource indication, RSRP (Reference Signal Received Power), CQI (Channel Quality Indicator), PMI (Precoding Matrix Indicator), CRI (CSI-RS Resource Indicator), SS / PBCH block resource indication (SSBRI), layer indication (LI), RI (Rank Indicator), or SINR (Signal-to-Noise and Interference Ratio).

[0151] As one sub-example of the above embodiment, the reporting quantity comprises at least one of resource indication, RSRP (Reference Signal Received Power), CQI (Channel Quality Indicator), PMI (Precoding Matrix Indicator), CRI (CSI-RS Resource Indicator), SS / PBCH block resource indication (SSBRI), layer indication (LI), RI (Rank Indicator), or SINR (Signal-to-Noise and Interference Ratio).

[0152] As one sub-example of the above embodiment, the reporting quantity comprises at least one of CQI (Channel Quality Indicator), PMI (Precoding Matrix Indicator), CRI (CSI-RS Resource Indicator), SS / PBCH block resource indication (SSBRI), layer indication (LI), RI (Rank Indicator), RSRP, or SINR.

[0153] As one example, the resource indication in the present application is used to indicate a beam or a RS resource.

[0154] As one example, the resource indication in the present application is used to indicate a beam, a CSI-RS resource, or a SS / PBCH block resource.

[0155] As one example, the resource indication in the present application is a beam indication, a CRI (CSI-RS Resource Indicator), or a SS / PBCH block resource indication (SSBRI).

[0156] As an embodiment, a first type of channel information reporting is one of periodic reporting, semi-persistent reporting, aperiodic reporting, or event triggered reporting.

[0157] As an embodiment, the event triggered reporting of the present application comprises UE initiated reporting.

[0158] As an embodiment, a semi-persistent first type of channel information reporting is activated by a MAC CE.

[0159] As an embodiment, an aperiodic first type of channel information reporting is triggered by DCI.

[0160] As an embodiment, an event triggered first type of channel information reporting is triggered in case of certain event.

[0161] As an embodiment, the first type of channel information reporting comprises CSI (channel state information) or beam information.

[0162] As an embodiment, the first type of channel information reporting comprises at least one resource indication.

[0163] As an embodiment, the first type of channel information reporting comprises at least one resource indication, one resource indication in the first type of channel information reporting is used to indicate beam or RS resource.

[0164] As an embodiment, the first type of channel information reporting comprises at least one resource indication, one resource indication in the first type of channel information reporting is used to indicate beam, CSI-RS resource or SS / PBCH block resource.

[0165] As an embodiment, the first type of channel information reporting comprises at least one resource indication; one resource indication in the first type of channel information reporting is used to indicate beam, or one resource indication in the first type of channel information reporting is CRI (CSI-RS Resource Indicator) or SS / PBCH Block Resource indicator (SSBRI).

[0166] As an embodiment, the first type of channel information reporting comprises at least one resource indication and RSRP.

[0167] As an embodiment, the first type of channel information reporting comprises one or more of beam indication, CRI (CSI-RS Resource Indicator), SS / PBCH Block Resource indicator (SSBRI), or RSRP (reference signal received power).

[0168] As an embodiment, the first type of channel information reporting comprises a channel matrix.

[0169] As an embodiment, the first type of channel information reporting comprises at least one of eigenvalues or eigenvectors of a channel.

[0170] As an embodiment, the first type of channel information reporting comprises predicted or estimated CSI.

[0171] As an embodiment, the first type of channel information reporting comprises predicted beam information.

[0172] As an embodiment, the first type of channel information reporting comprises confidence information.

[0173] As an embodiment, the first type of channel information reporting is based on non-codebook.

[0174] As an embodiment, the first type of channel information reporting comprises reporting quantities not defined in 3GPP Rel-18 and earlier releases.

[0175] As an embodiment, the first type of channel information reporting comprises reporting quantities not defined in 5G standards.

[0176] As an embodiment, the first type of channel information reporting comprises reporting quantities defined in 6G standards.

[0177] As an embodiment, the first type of channel information reporting comprises predicted channel or beam information, or compressed CSI.

[0178] As an embodiment, the first type of channel information reporting comprises AI or ML based CSI.

[0179] As an embodiment, the first type of channel information reporting comprises NN (Neural Network) generated CSI.

[0180] As an embodiment, the first type of channel information reporting comprises CSI generated based on a CNN (Conventional Neural Networks).

[0181] As an embodiment, the configuration information of the first type of channel information reporting indicates a first type of resource set, the first type of resource set comprising at least one RS resource used for measurement of the first type of channel information reporting; the first type of channel information reporting indicates at least one RS resource in the first type of resource set.

[0182] As an embodiment, the configuration information of the first type of channel information reporting indicates a first type of resource set, the first type of resource set comprising at least one RS resource used for measurement of the first type of channel information reporting; the first type of channel information reporting indicates at least one resource in a second type of resource set, the second type of resource set comprising resources not belonging to the first type of resource set.

[0183] In the above method, the first type of resource set indicated by the configuration information of different first type of channel information reporting can be the same or different, which is related to the implementer of the first information set.

[0184] As an embodiment, the first type of channel information reporting comprises CSI.

[0185] As an embodiment, the first type of channel information reporting comprises one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index, TDCP, predicted channel information, predicted beam information, or confidence information.

[0186] As an embodiment, the first type of channel information reporting comprises predicted channel information.

[0187] As an embodiment, the first type of channel information reporting comprises predicted beam information.

[0188] As an embodiment, the predicted beam information comprises beam indication or RS resource indication.

[0189] As an embodiment, the predicted beam information comprises beam indication and RSRP.

[0190] As an embodiment, the predicted beam information comprises RS resource indication and RSRP.

[0191] As an embodiment, the predicted beam information comprises one or more of a beam indication, a CRI (CSI-RS Resource Indicator), an SS / PBCH Block Resource indicator (SSBRI), and an RSRP (reference signal received power).

[0192] As an embodiment, the compressed CSI is non-codebook based.

[0193] As an embodiment, the compressed CSI is not a reporting quantity defined in 3GPP Rel-18, nor a reporting quantity defined in a version before 3GPP Rel-18.

[0194] As an embodiment, the compressed CSI is not a reporting quantity defined in 3GPP Rel-19, nor a reporting quantity defined in a version before 3GPP Rel-19.

[0195] As an embodiment, the compressed CSI is not a reporting quantity defined in 5G standards.

[0196] As an embodiment, a target receiver of the compressed CSI is not aware of channel parameters recovered by the compressed CSI for a transmitter of the compressed CSI.

[0197] As an embodiment, the compressed CSI is an AI or ML based CSI.

[0198] As an embodiment, the compressed CSI is a neural network based CSI.

[0199] As an embodiment, the compressed CSI is a CNN (Conventional Neural Networks) based CSI.

[0200] As an embodiment, the first type of identity is a non-negative integer.

[0201] As an embodiment, the first type of identity is a string.

[0202] As an embodiment, the first type of identity is used to identify an AI model.

[0203] As an embodiment, the first type of identity is used to identify an AI entity.

[0204] As an embodiment, the first type of identifier is used to identify an AI function.

[0205] As an embodiment, the benefit of the above method includes that the design is simplified and the understanding of different AI entities or functions is unified among multiple nodes by identifying an AI entity or function through the first type of identifier.

[0206] As an embodiment, the first type of identifier is a model identifier.

[0207] As an embodiment, the first type of identifier is used to identify an AI model.

[0208] As an embodiment, the first type of identifier is used by the first node to determine an AI model.

[0209] As an embodiment, the first type of identifier is used by the first node to determine an AI model used by the first operation.

[0210] As an embodiment, the benefit of the above method includes that the design is simplified and the understanding of different AI entities or functions is unified among multiple nodes by identifying an AI model / entity / function through the first type of identifier.

[0211] As an embodiment, the first type of identifier is used to identify or indicate a resource set.

[0212] As an embodiment, the first type of identifier is used to identify or indicate a resource set, and the measurement of the resource set is used to obtain a training data set.

[0213] As an embodiment, the first type of identifier is used to identify or indicate a resource set.

[0214] As an embodiment, the first type of identifier is used to identify or indicate a training data set.

[0215] As an embodiment, the benefit of the above method includes that the design is further simplified by establishing a consensus among different AI functions through identifying an AI training or an AI training data set and identifying the inference generated by the AI training or the AI training data set.

[0216] As an embodiment, the determination of the M first type of channel information reports depends on the first type of identifier associated with each of the part of the N first type of channel information reports.

[0217] As an embodiment, the determination of the M first type of channel information reports depends on the first type of identifier associated with each of the part of the N first type of channel information reports.

[0218] As an embodiment, the determination of the M first type channel information reports depends on the first type identifier associated with each of the N first type channel information reports.

[0219] As an embodiment, the processing of only the M first type channel information reports of the N first type channel information reports comprises transmitting only the M first type channel information reports of the N first type channel information reports.

[0220] As an embodiment, the processing of only the M first type channel information reports of the N first type channel information reports comprises updating only the M first type channel information reports of the N first type channel information reports.

[0221] As an embodiment, the processing of only the M first type channel information reports of the N first type channel information reports comprises not updating each first type channel information report of the N first type channel information reports except the M first type channel information reports.

[0222] As an embodiment, the processing of only the M first type channel information reports of the N first type channel information reports comprises updating only the M first type channel information reports of the N first type channel information reports, and transmitting the N first type channel information reports.

[0223] As an embodiment, the processing of only the M first type channel information reports of the N first type channel information reports comprises transmitting the N first type channel information reports, and each first type channel information report of the N first type channel information reports except the M first type channel information reports is not updated.

[0224] As an embodiment, the processing of only the M first type channel information reports of the N first type channel information reports comprises transmitting only the M first type channel information reports of the N first type channel information reports, and each first type channel information report of the N first type channel information reports except the M first type channel information reports is not updated.

[0225] As an embodiment, the first type channel information report being updated comprises the first type channel information report being valid.

[0226] As an embodiment, the first type channel information report being updated comprises the first type channel information report being different from the latest report configured by the same report configuration information.

[0227] As an embodiment, the first type of channel information reporting being updated comprises that the first type of channel information reporting can be different from a latest reporting configured by the same reporting configuration information.

[0228] As an embodiment, the first type of channel information reporting being updated comprises that the first type of channel information reporting can not be the same as a latest reporting configured by the same reporting configuration information.

[0229] As an embodiment, the first type of channel information reporting being updated comprises that the first type of channel information reporting is generated based on measurement of at least a latest RS occasion of the first type of resource set no later than a CSI reference resource of the first type of channel information reporting.

[0230] As an embodiment, the first type of channel information reporting being updated comprises that the first type of channel information reporting is updated based on measurement of at least a latest RS occasion of the first type of resource set no later than a CSI reference resource of the first type of channel information reporting.

[0231] As an embodiment, the first type of resource set consists of one or more aperiodic RS resources; the first type of channel information reporting being updated comprises that the first type of channel information reporting is generated based on measurement of triggered aperiodic RS of the first type of resource set.

[0232] As an embodiment, the first type of resource set consists of one or more aperiodic RS resources; the first type of channel information reporting being updated comprises that the first type of channel information reporting is updated based on measurement of triggered aperiodic RS of the first type of resource set.

[0233] As an embodiment, the first type of channel information reporting not being updated comprises that the first node is not expected to update the first type of channel information reporting.

[0234] As an embodiment, whether a first type of channel information reporting is actually updated is determined by the first node itself or implementation related.

[0235] As an embodiment, the first type of channel information reporting not being updated comprises that the first type of channel information reporting is not valid.

[0236] As an embodiment, the first type of channel information not being updated comprises that the first type of channel information is not updated based on a latest reporting configured by the same reporting configuration information.

[0237] As an embodiment, the first type of channel information report not being updated comprises that the first type of channel information report is the same as the latest report configured by the same reporting configuration information.

[0238] As an embodiment, the first type of channel information report not being updated comprises that the first type of channel information report is the same as the latest report configured by the same reporting configuration information.

[0239] As an embodiment, the first type of channel information report not being updated comprises that the first type of channel information report is irrelevant to the measurement of the latest RS occasion no later than the CSI reference resource of the first type of channel information report in the first type of resource set.

[0240] As an embodiment, the first type of channel information report not being updated comprises that the first type of channel information report comprises a default value.

[0241] As an embodiment, the first type of resource set comprises one or more aperiodic RS resources; the first type of channel information report not being updated comprises that the first type of channel information report is irrelevant to the measurement based on the triggered aperiodic RS resource in the first type of resource set.

[0242] As an embodiment, the first type of resource set comprises one or more aperiodic RS resources; the first type of channel information report not being updated comprises that the first type of channel information report is not generated based on the measurement of the triggered aperiodic RS resource in the first type of resource set.

[0243] As an embodiment, the first type of resource set comprises one or more aperiodic RS resources; the first type of channel information report not being updated comprises that the first type of channel information report is not updated based on the measurement of the triggered aperiodic RS resource in the first type of resource set.

[0244] Embodiment 2

[0245] Embodiment 2 illustrates a schematic diagram of a network architecture according to an embodiment of the present application, as shown in FIG. 2.

[0246] 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.

[0247] As one embodiment, the first node comprises the UE 201.

[0248] As one embodiment, the second node comprises the node 203.

[0249] As one embodiment, the wireless link between the UE 201 and the node 203 comprises a cellular network link.

[0250] As one embodiment, the sender of the first set of information comprises the node 203.

[0251] As one embodiment, the receiver of the first set of information comprises the UE 201.

[0252] As one embodiment, the first set of resources comprises one or more RS resources, and the sender of the reference signal in the first set of resources comprises the node 203.

[0253] As one embodiment, the first set of resources comprises one or more RS resources, and the receiver of the reference signal in the first set of resources comprises the UE 201.

[0254] As one embodiment, the second set of resources comprises one or more RS resources, and the sender of the reference signal in the second set of resources comprises the node 203.

[0255] As one embodiment, the second set of resources comprises one or more RS resources, and the receiver of the reference signal in the second set of resources comprises the UE 201.

[0256] As one embodiment, the sender of the first type of channel information reporting comprises the UE 201.

[0257] As one embodiment, the receiver of the first type of channel information reporting comprises the node 203.

[0258] Embodiment 3

[0259] Embodiment 3 illustrates a diagram of an embodiment of a radio protocol architecture for the user plane and control plane according to one embodiment of the application, as shown in FIG. 3.

[0260] 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.).

[0261] As one embodiment, the radio protocol architecture in FIG. 3 is applicable to the first node.

[0262] As one embodiment, the radio protocol architecture in FIG. 3 is applicable to the second node.

[0263] As one embodiment, the higher layer in this application refers to a layer above the physical layer.

[0264] As one embodiment, the first information set is generated at the RRC sublayer 306.

[0265] As one embodiment, the first information set is generated at the MAC sublayer 302 or the MAC sublayer 352.

[0266] As one embodiment, the reference signal in the first set of resource types is generated at the PHY 301 or the PHY 351.

[0267] As one embodiment, the first type of channel information reporting is generated at the MAC sublayer 302 or the MAC sublayer 352.

[0268] As one embodiment, the first type of channel information reporting is generated at the PHY 301 or the PHY 351.

[0269] Embodiment 4

[0270] 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.

[0271] 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.

[0272] 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.

[0273] 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.

[0274] 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.

[0275] 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.

[0276] 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.

[0277] As one embodiment, the second communication device 450 comprises: at least one processor and at least one memory including computer program code; the at least one memory and the computer program code configured to, with the at least one processor, cause the performance of the following. The second communication device 450 is arranged to: receive a first set of information, the first set of information being used to configure N first type channel information reports, N being a positive integer greater than 1, one first type channel information report being associated to one first type identity; process only M first type channel information reports out of the N first type channel information reports, M being a positive integer smaller than the N; wherein the determination of the M first type channel information reports depends on the first type identity associated to at least one first type channel information report out of the N first type channel information reports.

[0278] As one embodiment, the second communication device 450 comprises: a memory storing a program of computer readable instructions to produce an action when executed by at least one processor, the action comprising: receiving a first set of information, the first set of information being used to configure N first type channel information reports, N being a positive integer greater than 1, one first type channel information report being associated to one first type identity; processing only M first type channel information reports out of the N first type channel information reports, M being a positive integer smaller than the N; wherein the determination of the M first type channel information reports depends on the first type identity associated to at least one first type channel information report out of the N first type channel information reports.

[0279] As one embodiment, the first communication device 410 comprises: at least one processor and at least one memory including computer program code; the at least one memory and the computer program code configured to, with the at least one processor, cause the performance of the following. The first communication device 410 is arranged to: send a first set of information, the first set of information being used to configure N first type channel information reports, N being a positive integer greater than 1, one first type channel information report being associated to one first type identity; receive at least M first type channel information reports out of the N first type channel information reports, M being a positive integer smaller than the N; wherein a target receiver of the first set of information processes only the M first type channel information reports out of the N first type channel information reports; the determination of the M first type channel information reports depends on the first type identity associated to at least one first type channel information report out of the N first type channel information reports.

[0280] 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 actions comprising: sending a first information set, the first information set being used to configure N first type channel information reporting, N being a positive integer greater than 1, one first type channel information reporting being associated to one first type identifier; receiving at least M first type channel information reporting out of the N first type channel information reporting, M being a positive integer smaller than the N; wherein the target receiver of the first information set processes only the M first type channel information reporting out of the N first type channel information reporting; the determination of the M first type channel information reporting depends on the first type identifier associated to at least one first type channel information reporting out of the N first type channel information reporting.

[0281] As one embodiment, the first node in the present application comprises the second communication device 450.

[0282] As one embodiment, the second node in the present application comprises the first communication device 410.

[0283] As one 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 used to receive the first information set in the present application; 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 used to send the first information set in the present application.

[0284] As one 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 used to receive reference signals in the first type resource set in the present application; 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 used to send reference signals in the first type resource set in the present application.

[0285] As an embodiment, at least one of {the antenna 452, the transmitter / receiver 454, the transmit processor 468, the multi-antenna transmit processor 457, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is used for the processing of the M out of N first type channel information reports in the present application; at least one of {the antenna 420, the transmitter / receiver 418, the receive processor 470, the multi-antenna receive processor 472, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, the memory 476} is used for receiving the M out of N first type channel information reports in the present application.

[0286] Embodiment 5

[0287] Embodiment 5 illustrates a flow chart of transmission according to an embodiment of the present application; as shown in Figure 5. In Figure 5, the second node U1 and the first node U2 are communication nodes for transmission over an air interface. In Figure 5, the steps in the block F50 to the block F53 are optional respectively.

[0288] For the second node U1, a second operation is deployed in the step S5100; a first information set is sent in the step S511; at least M out of N first type channel information reports are received in the step S512; the second operation is executed in the step S5101.

[0289] For the first node U2, a first operation is deployed in the step S5200; a first information set is received in the step S521; the first operation is executed in the step S5201; only M out of N first type channel information reports are processed in the step S522.

[0290] In Embodiment 5, the first information set is used for configuring N first type channel information reports, N is a positive integer greater than 1, one first type channel information report is associated to one first type identifier; M is a positive integer smaller than the N; the determination of the M first type channel information reports depends on the first type identifier associated to at least one first type channel information report out of the N first type channel information reports.

[0291] As an embodiment, the receiving of the M out of N first type channel information reports comprises receiving the N first type channel information reports.

[0292] As an embodiment, the receiving the at least M of the N first-type channel information reports comprises receiving only M of the N first-type channel information reports.

[0293] As an embodiment, the first node U2 is the first node in the present application.

[0294] As an embodiment, the second node U1 is the second node in the present application.

[0295] As an 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.

[0296] As an 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.

[0297] As an 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.

[0298] As an embodiment, the second node U1 is a serving cell maintaining base station of the first node U2.

[0299] As an embodiment, the first operation is for CSI prediction, beam prediction, or CSI compression.

[0300] As an embodiment, the first operation is for CSI prediction or beam prediction.

[0301] As an embodiment, the first operation is for CSI compression, and the second operation is for CSI recovery.

[0302] As an embodiment, in FIG. 5, the step in block F52 and the step in block F53 exist when a two-sided AI model is employed.

[0303] As an embodiment, in FIG. 5, the step in block F52 exists when a single side AI model is employed.

[0304] As an embodiment, in FIG. 5, the step in block F52 exists when a single side AI model is employed, and the step in block F52 does not exist.

[0305] As one embodiment, in FIG. 5, the step in block F52 and the step in block F53 exist when a two-sided AI model is employed, the first operation is for CSI compression, and the second operation is for CSI recovery.

[0306] As one embodiment, in FIG. 5, the step in block F52 exists when a single side AI model is employed, the first operation is for beam prediction or CSI prediction.

[0307] As one embodiment, the deployment of the first operation is earlier than the reception of the first set of information.

[0308] As one embodiment, the deployment of the first operation is later than the reception of the first set of information.

[0309] As one embodiment, the step in block F53 in FIG. 5 exists; the method in the first node for wireless communication comprises: receiving a signal in the first set of resources.

[0310] As one embodiment, the step in block F53 in FIG. 5 exists; the method in the second node for wireless communication comprises: transmitting a signal in the first set of resources.

[0311] As one embodiment, the signal received in the first set of resources comprises a reference signal.

[0312] As one embodiment, the signal received in the first set of resources comprises a wireless signal.

[0313] As one embodiment, the output of the first operation comprises a first CSI, the first type of channel information report carries the first CSI, and the first CSI is used as input of a second operation to generate a second CSI.

[0314] As one embodiment, the first CSI is used to generate the first type of channel information report.

[0315] As one embodiment, the first type of channel information report comprises the first CSI.

[0316] As one embodiment, the step in block F51 in FIG. 5 exists, and the method in the second node for wireless communication comprises: deploying the second operation.

[0317] As one embodiment, the deployment of the second operation is earlier than the transmission of the first set of information.

[0318] As one embodiment, the deployment of the second operation is later than the sending of the first information set.

[0319] As one embodiment, the step in block F56 in FIG. 5 exists, and the method in the second node for wireless communication comprises: performing the second operation.

[0320] As one embodiment, the first operation is for CSI compression, the second operation is for CSI recovery, and the first node and the second node adopt a two-sided AI model.

[0321] As one embodiment, the first operation is for beam prediction, and the first node adopts a single side AI model.

[0322] As one embodiment, how to generate the first type of channel information reporting is determined by the manufacturer of the first node, or is implementation dependent. A typical but non-limiting implementation is described below:

[0323] The first node first performs measurement on RS resources for channel measurement to obtain a channel parameter matrix H r×t , where r, t are the number of receiving antennas and the number of antenna ports respectively; at least the channel parameter matrix H r×t or its eigenvector is input into an AI model, and the output of the AI model is used to obtain the first type of channel information reporting.

[0324] If the first type of channel information reporting needs the first node to estimate interference (including noise), the first node can perform measurement on RS resources for interference measurement to obtain measured interference.

[0325] Under one implementation, the measured interference is also input into the AI model.

[0326] Under another implementation, the measured interference is not input into the AI model, and the output of the AI model and the measured interference are jointly used to generate the first type of channel information reporting.

[0327] Without loss of generality, the AI model or the parameters of the AI model used to generate the first type of channel information reporting are determined by the manufacturer of the first node.

[0328] Embodiments 6A-6B

[0329] Embodiments 6A-6B respectively illustrate a schematic diagram of the first type of channel information reporting according to one embodiment of the present application; as shown in FIGS. 6A-6B.

[0330] In Embodiment 6A, the generation manner of the first type of channel information reporting is based on training or AI.

[0331] As an embodiment, the generation manner of the first type of channel information is AI-based, including that the generation manner of the first type of channel information is based on training.

[0332] As an embodiment, the generation manner of the first type of channel information reporting is based on training or AI, including that the generation of the first type of channel information uses an AI model.

[0333] As an embodiment, the generation manner of the first type of channel information reporting is based on training or AI, including that the generation of the first type of channel information uses information generated based on artificial intelligence or machine learning.

[0334] As an embodiment, the generation manner of the first type of channel information reporting is based on training or AI, including that the generation of the first type of channel information uses information generated based on a neural network.

[0335] As an embodiment, the generation manner of the first type of channel information reporting is based on training or AI, including that the generation of the first type of channel information uses information generated based on a CNN (Conventional Neural Networks).

[0336] As an embodiment, the generation manner of the first type of channel information reporting is based on training or AI, including that the first type of channel information includes information generated based on artificial intelligence or machine learning.

[0337] As an embodiment, the generation manner of the first type of channel information reporting is based on training or AI, including that the first type of channel information includes information generated based on a neural network.

[0338] As an embodiment, the generation manner of the first type of channel information reporting is based on training or AI, including that the first type of channel information includes information generated based on a CNN (Conventional Neural Networks).

[0339] As an embodiment, the generation manner of the first type of channel information reporting is based on training or AI, including that the configuration information of the first type of channel information reporting indicates a first type of identifier.

[0340] As an embodiment, the generation manner of the first type of channel information report is training-based or AI-based, including: the configuration information of the first type of channel information report indicates a first type of resource set, the first type of resource set includes at least one RS resource used for measurement of the first type of channel information report; the generation of the first type of channel information report includes that a target receiver of the first node or the first information set performs a first operation, an input of the first operation depends on measurement based on the first type of resource set, and the first type of channel information report depends on an output of the first operation.

[0341] As an embodiment, the generation manner of the first type of channel information report is training-based or AI-based, including: the configuration information of the first type of channel information report indicates a first type of identifier, and the generation manner of the first type of channel information report includes performing a first operation associated with the first type of identifier indicated by the configuration information of the first type of channel information report.

[0342] As an embodiment, the generation manner of the first type of channel information report is training-based or AI-based, including: the first type of channel information is associated with a first type of identifier.

[0343] In embodiment 6B, the configuration information of the first type of channel information report indicates a first type of resource set, the first type of resource set includes at least one RS resource used for measurement of the first type of channel information report; and the first type of channel information report indicates at least one resource in a second type of resource set, the second type of resource set includes resources not belonging to the first type of resource set. In FIG. 6B, the first type of resource set includes resource #1, …, resource #J1; and the second type of resource set includes resource #1, …, resource #J2.

[0344] As an embodiment, the resources in the first type of resource set include at least one of an antenna port, a TCI (Transmission Configuration Indication) state, QCL (Quasi Co-Location) information, a time-frequency resource, a time-frequency code resource, a beam, an RS resource, a vector, or a matrix.

[0345] As an embodiment, the first type of resource set includes one or more RS (Reference Signal) resource sets, and each RS resource set includes one or more RS resources.

[0346] As one embodiment, the first type of resource set includes at least one of at least one CSI-RS resource set, at least one CSI-SSB (Channel State Information-Synchronization Signal Block) resource set, or at least one CSI-IM (Channel State Information-Interference Measurement) resource set.

[0347] As one embodiment, the first type of resource set includes at least one RS resource set for channel measurement, and at least one RS resource set for interference measurement; one RS resource set for channel measurement includes one or more RS resources, and one RS resource set for interference measurement includes one or more RS resources.

[0348] As one embodiment, the first type of resource set includes at least one RS resource set for channel measurement, and at least one RS resource set for interference measurement; one RS resource set for channel measurement includes one or more RS resources, and one RS resource set for interference measurement includes one or more RS resources.

[0349] As one embodiment, the first type of resource set includes at least one RS resource set for interference measurement; one RS resource set for interference measurement includes one or more RS resources.

[0350] As one embodiment, one RS resource set for channel measurement includes one or more RS resources, and any RS resource in the one RS resource set for channel measurement is a CSI-RS resource or a synchronization signal resource.

[0351] As one embodiment, one RS resource set for interference measurement includes one or more RS resources.

[0352] As one embodiment, one RS resource set for interference measurement includes one or more RS resources, and any RS resource in the one RS resource set for interference measurement is a CSI-IM resource or a NZP (non-zero power) CSI-RS resource for interference measurement.

[0353] As one embodiment, the first type of resource set includes one or more downlink RS resources.

[0354] As one embodiment, the first type of resource set includes one or more RS resources, and any RS resource in the first type of resource set is a CSI-RS (Channel State Information Reference Signal) resource or a synchronization signal resource.

[0355] As an embodiment, at least one RS resource in the first set of resources is a CSI-RS (Channel State Information Reference Signal) resource.

[0356] As an embodiment, any RS resource in the first set of resources is a CSI-RS (Channel State Information Reference Signal) resource.

[0357] As an embodiment, the first set of resources includes at least one of a CSI-RS (Channel State Information Reference Signal) resource or a synchronization signal resource.

[0358] As an embodiment, the synchronization signal resource includes at least a resource occupied by a synchronization signal.

[0359] As an embodiment, the synchronization signal resource is a SSB (Synchronization Signal Block).

[0360] As an embodiment, the synchronization signal resource is a SS / PBCH (synchronization signal / physical broadcast channel) block resource.

[0361] As an embodiment, the configuration information for the first type of channel information reporting indicates at least one resource configuration, and the at least one resource configuration indicates the first set of resources.

[0362] As an embodiment, one resource configuration is used to configure a CSI resource.

[0363] As an embodiment, one resource configuration is an IE CSI-ResourceConfig.

[0364] As an embodiment, one resource configuration includes an RRC IE.

[0365] As an embodiment, one resource configuration includes an IE CSI-ResourceConfig.

[0366] As an embodiment, the configuration information for the first type of channel information reporting includes an identifier of the first set of resources.

[0367] As one embodiment, the configuration information for the first type of channel information reporting indicates a first set of resources, the first set of resources including at least one RS resource used for measurement of the first type of channel information reporting; the first type of channel information reporting indicates at least one resource in a second set of resources and RSRP, the second set of resources including resources not belonging to the first set of resources.

[0368] As one embodiment, the first node is not required to measure the second set of resources.

[0369] As one embodiment, the first set of resources is used for measurement and the second set of resources is used for prediction.

[0370] As one embodiment, the first set of resources is used for measurement and the second set of resources is used for prediction.

[0371] As one embodiment, only the first set of resources among the first set of resources and the second set of resources is used for measurement.

[0372] As one embodiment, only the first set of resources among the first set of resources and the second set of resources is used for measurement includes that only the first set of resources among the first set of resources and the second set of resources is used for measurement by the first node.

[0373] As one embodiment, only the first set of resources among the first set of resources and the second set of resources is used for measurement includes that the first set of resources is used for measurement by the first node and the first node is not required to measure part or all of the second set of resources.

[0374] As one embodiment, the first node is not required to measure the second set of resources includes that the first node does not measure part or all of the second set of resources.

[0375] As one embodiment, the first node is not required to measure the second set of resources includes that whether the first node measures part or all of the second set of resources is implementation dependent or self-determined by the first node.

[0376] As one embodiment, the second set of resources includes the first set of resources and resources other than the first set of resources.

[0377] As an embodiment, the first set of resources includes one or more RS resources, and the second set of resources includes one or more RS resources.

[0378] As an embodiment, the first set of resources includes fewer resources than the second set of resources.

[0379] As an embodiment, the first set of resources includes fewer RS resources than the second set of resources.

[0380] As an embodiment, the second set of resources includes resources not included in the first set of resources.

[0381] As an embodiment, the second set of resources includes antenna ports not included in the first set of resources.

[0382] As an embodiment, the second set of resources includes resources not included in the first set of resources, and the resources in the second set of resources include at least one of an antenna port, a TCI state, QCL information, a frequency resource, a time-frequency code resource, a beam, an RS resource, a vector, or a matrix.

[0383] As an embodiment, the second set of resources includes one or more DFT vectors; and the first type of channel information reporting indicates at least one DFT vector in the second set of resources.

[0384] As an embodiment, the second set of resources includes one or more DFT codebooks; and the first type of channel information reporting indicates at least one codebook in the second set of resources.

[0385] As an embodiment, the second set of resources includes one or more antenna ports; and the first type of channel information reporting indicates at least one antenna port in the second set of resources.

[0386] As an embodiment, the second set of resources includes at least one RS resource; and the first type of channel information reporting indicates at least one RS resource in the second set of resources.

[0387] As an embodiment, the second set of resources includes at least one beam; and the first type of channel information reporting indicates at least one beam in the second set of resources.

[0388] As an embodiment, the second set of resources includes one or more beams; and the first type of channel information reporting indicates at least one beam in the second set of resources.

[0389] As an embodiment, the second type of resource set comprises one or more vectors; the first type of channel information reporting indicates at least one vector in the second type of resource set.

[0390] As an embodiment, the second type of resource set comprises one or more matrices; the first type of channel information reporting indicates at least one matrix in the second type of resource set.

[0391] As an embodiment, the second type of resource set comprises at least one training data set.

[0392] As an embodiment, the second type of resource set is used for training an AI model.

[0393] As an embodiment, the second type of resource set comprises one or more RS (Reference Signal) resource sets, and one RS resource set comprises one or more RS resources.

[0394] As an embodiment, the second type of resource set comprises at least one of at least one CSI-RS (Channel State Information-Reference Signal) resource set, at least one CSI-SSB (Channel State Information-Synchronization Signal Block) resource set, or at least one CSI-IM (Channel State Information-Interference Measurement) resource set.

[0395] As an embodiment, the second type of resource set comprises at least one RS resource set for channel measurement, and one RS resource set for channel measurement comprises one or more RS resources.

[0396] As an embodiment, the second type of resource set comprises at least one RS resource set for channel measurement and at least one RS resource set for interference measurement; one RS resource set for channel measurement comprises one or more RS resources, and one RS resource set for interference measurement comprises one or more RS resources.

[0397] As an embodiment, the second type of resource set comprises at least one RS resource set for interference measurement; one RS resource set for interference measurement comprises one or more RS resources.

[0398] As an embodiment, the second type of resource set comprises one or more RS resources.

[0399] As an embodiment, the second type of resource set includes one or more downlink RS resources.

[0400] As an embodiment, the second type of resource set includes one or more RS resources, and any RS resource in the second type of resource set is a CSI-RS (Channel State Information Reference Signal) resource or a synchronization signal resource.

[0401] As an embodiment, the configuration information of the first type of channel information reporting indicates at least one resource configuration, and the at least one resource configuration indicates the second type of resource set.

[0402] As an embodiment, the configuration information of the first type of channel information reporting indicates at least one resource configuration, and the at least one resource configuration indicates the first type of resource set and the second type of resource set.

[0403] As an embodiment, the configuration information of the first type of channel information reporting indicates one resource configuration, and the one resource configuration indicates the first type of resource set and the second type of resource set.

[0404] As an embodiment, the configuration information of the first type of channel information reporting indicates two resource configurations, and the two resource configurations respectively indicate the first type of resource set and the second type of resource set.

[0405] As an embodiment, the configuration information of the first type of channel information reporting indicates configuration information of the second type of resource set.

[0406] As an embodiment, the configuration information of the first type of channel information reporting indicates an identity of the second type of resource set.

[0407] As an embodiment, the configuration information of the first type of channel information reporting is used to indicate the second type of resource set from a reference resource set.

[0408] As an embodiment, the configuration information of the first type of channel information reporting indicates a first type of identity, and the second type of resource set depends on the first type of identity.

[0409] As an embodiment, the second type of resource set depending on the first type of identity includes that the first type of identity is used to identify the second type of resource set.

[0410] As an embodiment, the second type of resource set depending on the first type of identity includes that the first type of identity is used to identify a reference resource set, and the reference resource set includes the second type of resource set.

[0411] As an embodiment, the second set of resources depends on the first type of identity comprises: the first type of identity is used to identify a reference set of resources, the reference set of resources comprises the second set of resources, and the configuration information of the first type of channel information reporting is used to indicate the second set of resources from the reference set of resources.

[0412] As an embodiment, the information other than the configuration information of the first type of channel information reporting indicates the second set of resources.

[0413] As an embodiment, the information other than the first set of information indicates the second set of resources.

[0414] As an embodiment, the information other than the configuration information of the first type of channel information reporting that indicates the second set of resources comprises a higher layer parameter.

[0415] As an embodiment, the information other than the configuration information of the first type of channel information reporting that indicates the second set of resources comprises an RRC parameter.

[0416] As an embodiment, the information other than the configuration information of the first type of channel information reporting that indicates the second set of resources comprises part or all of the fields of an RRC IE.

[0417] As an embodiment, the information other than the configuration information of the first type of channel information reporting that indicates the second set of resources comprises a MAC CE.

[0418] As an embodiment, the information other than the configuration information of the first type of channel information reporting that indicates the second set of resources comprises DCI (downlink control information).

[0419] Embodiment 7

[0420] Embodiment 7 illustrates a schematic diagram of the first type of channel information reporting and the second CSI according to an embodiment of the present application; as shown in FIG. 7. In embodiment 7, the output of the first operation comprises a first CSI, the first type of channel information reporting carries the first CSI, and the first CSI is used by the target receiver of the first type of channel information reporting as the input of the second operation to generate a second CSI.

[0421] As an embodiment, the first operation is used for CSI compression, the second operation is used for CSI recovery, and the first node and the second node adopt a two-sided AI model.

[0422] As one embodiment, the first CSI comprises an output of the first operation.

[0423] As one embodiment, the first CSI comprises compressed CSI.

[0424] As one embodiment, the second CSI comprises a recovery of at least part of an input of the first operation.

[0425] As one embodiment, the second CSI comprises one or more of a PMI (Precoding Matrix Indicator), a CRI (CSI-RS Resource Indicator), an SS / PBCH Block Resource indicator (SSBRI), a beam indication, a resource indication, a CQI (Channel Quality Indicator), an RI (Rank Indicator), a LI (Layer Indicator), an RSRP (reference signal received power), a SINR (signal-to-noise and interference ratio), a Capability Index, or a TDCP (Time Domain Channel Properties).

[0426] As one embodiment, the second CSI comprises a channel matrix.

[0427] As one embodiment, the second CSI comprises an eigenvector and / or an eigenvalue.

[0428] As one embodiment, the second CSI comprises a precoding matrix.

[0429] As one embodiment, the second CSI comprises one or more of a channel matrix, an eigenvector, an eigenvalue, or a precoding matrix.

[0430] As one embodiment, the target receiver of the first type of channel information reporting is a sender of configuration information of the first type of channel information reporting.

[0431] As one embodiment, the target receiver of the first type of channel information reporting is a sender of the first set of resources.

[0432] As one embodiment, the second operation is an inverse operation of the first operation.

[0433] As one embodiment, the second operation is based on training.

[0434] As one embodiment, the training for obtaining the second operation is performed by the target receiver reporting the first type of channel information.

[0435] As one embodiment, the training for obtaining the second operation is performed by an MDA function.

[0436] As one embodiment, the training for obtaining the second operation is performed by an MDAS producer.

[0437] As one embodiment, the training for obtaining the second operation is performed by a NWDAF.

[0438] As one embodiment, the training for obtaining the second operation is performed by a core network.

[0439] As one embodiment, the training for obtaining the second operation is performed by an AI(Artificial Intelligence) training producer.

[0440] As one embodiment, the AI(Artificial Intelligence) includes ML(Machine Learning).

[0441] As one embodiment, the AI(Artificial Intelligence) includes a neural network.

[0442] As one embodiment, the AI(Artificial Intelligence) includes a CNN(Conventional Neural Networks).

[0443] As one embodiment, the first operation and the second operation are obtained through different training.

[0444] As one embodiment, the first operation and the second operation are obtained through independent training.

[0445] As one embodiment, the benefits of the above method include: saving air interface overhead, better flexibility, adapting to different terminals, and better forward compatibility.

[0446] As one embodiment, the first operation and the second operation are obtained through joint training.

[0447] As one embodiment, benefits of the above method include: optimizing performance.

[0448] As one embodiment, training of the second operation relies on the first operation.

[0449] As one embodiment, a producer of the second operation trains the second operation according to an output of the first operation.

[0450] As one embodiment, the second operation includes inference.

[0451] As one embodiment, the second operation includes AI inference.

[0452] As one embodiment, the second operation includes AI inference for CSI.

[0453] As one embodiment, the second operation is AI inference for CSI recovery.

[0454] As one embodiment, the second operation is AI inference for CSI decompression.

[0455] As one embodiment, the second operation is executed by an AI entity of the second node in the present application.

[0456] As one embodiment, the second operation is executed by an AI function of the second node in the present application.

[0457] As one embodiment, the second operation is deployment- requiring.

[0458] As one embodiment, the second operation is obtained through loading.

[0459] As one embodiment, the second operation is obtained through loading from a core network.

[0460] As one embodiment, the second operation is obtained through loading from a producer.

[0461] As one embodiment, the second operation is obtained through loading from a producer of the second operation.

[0462] As one embodiment, the second operation is obtained through loading from an AL entity producer.

[0463] As one embodiment, the second operation is obtained from an AL function producer.

[0464] As one embodiment, the second operation is obtained from an MnS producer.

[0465] As one embodiment, the second operation is based on artificial intelligence or machine learning.

[0466] As one embodiment, the second operation is based on a neural network.

[0467] As one embodiment, the second operation includes a decoder for neural network based CSI compression.

[0468] As one embodiment, the second operation includes an encoder for CNN based CSI compression.

[0469] As one embodiment, the second operation is performed by a physical layer of the second node.

[0470] As one embodiment, the second operation is performed by a higher layer of the second node.

[0471] Embodiments 8A-8B

[0472] Embodiments 8A-8B respectively illustrate a schematic diagram of a first operation according to one embodiment of the present application; as shown in FIGS. 8A-8B.

[0473] In embodiment 8A, the first operation includes K1 sub-operations, where K1 is a positive integer not greater than 1. In FIG. 8, the K1 sub-operations are respectively denoted as sub-operation #0, …, sub-operation #(K1-1).

[0474] As one embodiment, each of the K1 sub-operations is based on training.

[0475] As one embodiment, at least one of the K1 sub-operations is based on training.

[0476] As one embodiment, each of the K1 sub-operations based on training is based on training performed by a same performer.

[0477] As one embodiment, two of the K1 sub-operations based on training are based on training performed by different performers.

[0478] As one embodiment, at least one of the K1 sub-operations is deployment required.

[0479] As one embodiment, at least one of the K1 sub-operations is loading required.

[0480] As one embodiment, all of the K1 sub-operations that need loading are loaded from the same producer.

[0481] As one embodiment, two of the K1 sub-operations that need loading are loaded from different producers.

[0482] As one embodiment, at least one of the K1 sub-operations is not based on training.

[0483] As one embodiment, at least one of the K1 sub-operations is based on a codebook defined for precoding in 3GPP R18 or a version before 3GPP R18.

[0484] As one embodiment, one or more of the K1 sub-operations is based on AI.

[0485] As one embodiment, one or more of the K1 sub-operations includes inference.

[0486] As one embodiment, one or more of the K1 sub-operations includes AI inference.

[0487] As one embodiment, one or more of the K1 sub-operations includes AI inference for CSI.

[0488] As one embodiment, the AI includes ML.

[0489] As one embodiment, one or more of the K1 sub-operations includes pre-processing.

[0490] As one embodiment, one or more of the K1 sub-operations includes post-processing.

[0491] As one embodiment, there are two sub-operations of the K1 sub-operations that are serial, such as all sub-operations in FIG. 8(a), sub-operation #2 to sub-operation #(K1-1) in 8(b), and sub-operation #0 to sub-operation #(K1-4) in 8(c).

[0492] As one embodiment, two sub-operations being serial means that the output of one of the two sub-operations is used as the input of the other of the two sub-operations.

[0493] As an embodiment, two of the K1 sub-operations are parallel, such as sub-operation #0 and sub-operation #1 in FIG. 8(b), sub-operation #(K1-3) and sub-operation #(K1-2) in FIG. 8(c).

[0494] As an embodiment, two sub-operations being parallel means that the outputs of the two sub-operations are jointly used as the input of another sub-operation.

[0495] As an embodiment, the K1 sub-operations include one or more of convolution, pooling, concatenation, or activation.

[0496] As an embodiment, one of the K1 sub-operations includes a fully connected layer.

[0497] As an embodiment, one of the K1 sub-operations includes a pooling layer.

[0498] As an embodiment, one of the K1 sub-operations includes at least one convolution layer.

[0499] As an embodiment, one of the K1 sub-operations includes at least one encoding layer.

[0500] As an embodiment, two of the K1 sub-operations respectively include a fully connected layer and at least one encoding layer.

[0501] As an embodiment, an encoding layer includes at least one convolution layer and a pooling layer.

[0502] In embodiment 8B, the first operation is associated to a first type of identification.

[0503] As an embodiment, the configuration information of the first type of channel information reporting indicates a first type of identification, and the first operation is associated to the first type of identification indicated by the configuration information of the first type of channel information reporting.

[0504] As an embodiment, the first type of identification is a non-negative integer.

[0505] As an embodiment, the first type of identification is a string.

[0506] As an embodiment, the first operation is identified by the first type of identification.

[0507] As an embodiment, the AI model adopted by the first operation is identified by the first type of identification.

[0508] As an embodiment, the AI entity to which the first operation belongs is identified by the first type of identification.

[0509] As one embodiment, the AI function to which the first operation belongs is identified by the first type identifier.

[0510] As one embodiment, the AI entity or AI function to which the first operation belongs is identified by the first type identifier.

[0511] As one embodiment, the benefit of the above method includes that identifying an AI entity or function by the first type identifier simplifies the design and unifies the understanding of different AI entities or functions among multiple nodes.

[0512] As one embodiment, the AI function performing the first operation is identified by the first type identifier.

[0513] As one embodiment, the AI entity performing the first operation is identified by the first type identifier.

[0514] As one embodiment, the AI entity or AI function performing the first operation is identified by the first type identifier.

[0515] As one embodiment, the first type identifier is a model identifier.

[0516] As one embodiment, the first type identifier is used to identify an AI model.

[0517] As one embodiment, the first type identifier is used by the first node to determine an AI model.

[0518] As one embodiment, the first type identifier is used by the first node to determine an AI model used by the first operation.

[0519] As one embodiment, the benefit of the above method includes that identifying an AI model / entity / function by the first type identifier simplifies the design and unifies the understanding of different AI entities / functions among multiple nodes.

[0520] As one embodiment, the first type identifier is used to identify or indicate a set of reference resources, measurements on the set of reference resources are used to obtain a training data set for the first operation.

[0521] As one embodiment, the first type identifier is used to identify configuration information of a set of reference resources, measurements on the set of reference resources are used to obtain a training data set for the first operation.

[0522] As one embodiment, the training used to obtain the first operation is identified by the first type identifier.

[0523] As an embodiment, the data set used for training of the first operation is identified by the first type of identification.

[0524] As an embodiment, the benefits of the above method include that the consensus is established among different AI functions by identifying an AI training or an AI training data set to identify the inference generated by the AI training or the AI training data set, and the design is further simplified.

[0525] As an embodiment, the configuration information of the first type of channel information reporting indicates the first operation by indicating the first type of identification.

[0526] As an embodiment, the configuration information of the first type of channel information reporting indicates the use of the AI model by indicating the first type of identification.

[0527] As an embodiment, the configuration information of the first type of channel information reporting obtains the input of the AI entity / function / inference associated with the first type of identification by indicating the first type of identification.

[0528] As an embodiment, the first operation performs spatial beam prediction for a second type of resource set based on the measurement of the first type of resource set, and the second type of resource set depends on the first type of identification.

[0529] As an embodiment, the benefits of the above method include that the RS overhead is reduced, and the feedback delay is reduced.

[0530] As an embodiment, the first operation performs channel information prediction for a second type of resource set based on the measurement of the first type of resource set, and the second type of resource set depends on the first type of identification.

[0531] As an embodiment, the channel information in the present application includes beam information.

[0532] As an embodiment, the first operation performs temporal beam prediction for a second type of resource set based on the historic measurement of the first type of resource set, and the second type of resource set depends on the first type of identification.

[0533] As an embodiment, the benefits of the above method include that the beam feedback delay is reduced, and the real-time performance of beam acquisition is improved.

[0534] As an embodiment, the first operation performs temporal channel information prediction for a second type of resource set based on the historic measurement of the first type of resource set, and the second type of resource set depends on the first type of identification.

[0535] As an example, the advantages of the above method include reducing channel information feedback delay and improving the real-time performance of channel information acquisition.

[0536] Example 9

[0537] Example 9 illustrates a schematic diagram of the deployment of the first operation on the first node according to an embodiment of this application; as shown in Figure 9.

[0538] As one embodiment, the deployment includes obtaining the first operation.

[0539] As one example, the deployment includes obtaining an AI entity.

[0540] As one example, the deployment includes obtaining an AI entity that performs the first operation.

[0541] As one example, the deployment includes obtaining an AI entity that includes AI functions to perform the first operation.

[0542] As one example, the deployment includes loading the first operation.

[0543] As one example, the deployment includes submitting a request to load the first operation.

[0544] As an example, the request in Figure 9 is a request from the first node to load the first operation.

[0545] As an example, the response in Figure 9 is a response to the request made by the first node to load the first operation.

[0546] As an example, the first node obtains the first operation through the response shown in Figure 9.

[0547] As an example, the first operation is obtained from the serving cell of the first node.

[0548] As an example, the first operation is obtained from the sustaining base station of the serving cell of the first node.

[0549] As an example, the first operation is obtained from the core network.

[0550] As an example, the first operation is obtained from loading from the first producer.

[0551] As an example, the first producer provides the first operation to the first node via the response shown in Figure 9.

[0552] As one embodiment, the deploying is done by an AI function.

[0553] As one embodiment, the deploying is done by an AI function deployed at the first node.

[0554] As one embodiment, the deploying is done by an AI deployment function.

[0555] As one embodiment, the deploying is done by an AI deployment function deployed at the first node.

[0556] As one embodiment, the deploying is done by an AI inference function.

[0557] As one embodiment, the deploying is done by an AI inference function deployed at the first node.

[0558] As one embodiment, the deploying is done by an AI entity.

[0559] As one embodiment, the deploying is done by an AI entity deployed at the first node.

[0560] As one embodiment, the deploying is done by an AI entity with a deployment function.

[0561] As one embodiment, the deploying is done by an AI entity with a deployment function deployed at the first node.

[0562] As one embodiment, the deploying is done by an AI entity with an inference function.

[0563] As one embodiment, the deploying is done by an AI entity with an inference function deployed at the first node.

[0564] As one embodiment, the deploying includes obtaining the first operation from a first producer.

[0565] As one embodiment, the deploying includes making a request to a first producer to load the first operation.

[0566] As one embodiment, the deploying includes loading the first operation from a first producer.

[0567] As one embodiment, the first producer generates and provides an AL entity.

[0568] As one embodiment, the first producer generates and provides AL functions.

[0569] As one embodiment, the first producer is a producer of the first operation.

[0570] As one embodiment, the first producer includes an AL entity producer.

[0571] As one embodiment, the first producer includes an AL function producer.

[0572] As one embodiment, the first producer includes an AL deployment producer.

[0573] As one embodiment, the first producer includes an AL loading producer.

[0574] As one embodiment, the first producer includes an AL training producer.

[0575] As one embodiment, the first producer includes an AL inference producer.

[0576] As one embodiment, the first producer includes a producer of deployment of AL entity.

[0577] As one embodiment, the first producer includes a producer of loading of AL entity.

[0578] As one embodiment, the first producer includes a MnS (Management Service) producer.

[0579] As one embodiment, the sender of the configuration information of the first type of channel information reporting is the first producer.

[0580] As one embodiment, the sender of the configuration information of the first type of channel information reporting is different from the first producer.

[0581] As one embodiment, the training for obtaining the first operation is performed by the first producer.

[0582] As one embodiment, the performer of the training for obtaining the first operation is different from the first producer.

[0583] As one embodiment, the AI includes ML (Machine Learning).

[0584] Embodiments 10A-10C

[0585] Embodiments 10A-10C respectively illustrate a schematic diagram of a first type of channel information reporting associated to a first type of identification according to an embodiment of the application; as shown in FIGS. 10A-10C.

[0586] In Embodiment 10A, the one first type of channel information reporting is associated to a first type of identification comprises: configuration information of the first type of channel information reporting indicates a first type of identification, the first type of channel information reporting is associated to the first type of identification indicated by the configuration information of the first type of channel information reporting.

[0587] In Embodiment 10B, the one first type of channel information reporting is associated to a first type of identification comprises: a first operation is performed by the first node or a target receiver of the first information set, the first type of channel information reporting depends on an output of the first operation, the first operation is associated to the first type of identification.

[0588] As an embodiment, the configuration information of the first type of channel information reporting indicates a first type of resource set, the first type of resource set comprises at least one RS resource used for measurement of the first type of channel information reporting; a first operation is performed by the first node or a target receiver of the first information set, an input of the first operation depends on measurement based on the first type of resource set, the first type of channel information reporting depends on an output of the first operation.

[0589] As an embodiment, the first operation performs spatial beam prediction for a second type of resource set based on measurement of the first type of resource set.

[0590] As an embodiment, the first operation performs spatial beam prediction for a second type of resource set based on measurement of the first type of resource set, the second type of resource set comprises resources not belonging to the first type of resource set.

[0591] As an embodiment, the above method has the benefits of reducing RS overhead and reducing feedback delay.

[0592] As an embodiment, the first operation performs channel information prediction for a second type of resource set based on measurement of the first type of resource set.

[0593] As an embodiment, the channel information in the present application comprises beam information.

[0594] As an embodiment, the first operation performs Temporal beam prediction for a second type of resource set based on historic measurement of the first type of resource set.

[0595] As one embodiment, benefits of the above method include reduced beam feedback latency, improved real-time performance of beam acquisition.

[0596] As one embodiment, the first operation is based on historic measurements of the first set of resources to make predictions of Temporal channel information for the second set of resources.

[0597] As one embodiment, benefits of the above method include reduced channel information feedback latency, improved real-time performance of channel information acquisition.

[0598] As one embodiment, the input of the first operation further includes the second set of resources.

[0599] As one embodiment, the input of the first operation further includes part or all of the second set of resources.

[0600] As one embodiment, the first type of channel information reporting includes the output of the first operation.

[0601] As one embodiment, the first type of channel information reporting includes the post-processed output of the first operation.

[0602] As one embodiment, the first type of channel information reporting includes the truncated and / or quantized output of the first operation.

[0603] As one embodiment, the output of the first operation is used to generate the first type of channel information reporting.

[0604] As one embodiment, the post-processed output of the first operation is used to generate the first type of channel information reporting.

[0605] As one embodiment, the truncated and / or quantized output of the first operation is used to generate the first type of channel information reporting.

[0606] As one embodiment, part or all of the output of the first operation is used to generate the first type of channel information reporting.

[0607] As one embodiment, part or all of the truncated and / or quantized output of the first operation is used to generate the first type of channel information reporting.

[0608] As one embodiment, configuration information of the first type of channel information reporting indicates a first type of identity, the first type of identity being a first type of identity to which the first operation is associated.

[0609] As an embodiment, the first type of channel information report generation mode is associated to the first type of identification comprises: the first type of channel information report generation comprises a first operation performed by a target receiver of the first information block, an input of the first operation is dependent on a measurement based on the first type of resource set, the first type of channel information report is dependent on an output of the first operation, the first operation is associated to the first type of identification.

[0610] As an embodiment, the input of the first operation dependent on the measurement based on the first type of resource set comprises: the input of the first operation dependent on the measurement based on the first set of occasions.

[0611] As an embodiment, the first operation is training-based or AI-based.

[0612] As an embodiment, the measurement based on the first type of resource set comprises channel information before compression, the output of the first operation comprises channel information after compression.

[0613] As an embodiment, the above method has the benefits of being applicable to channel compression and saving feedback overhead.

[0614] As an embodiment, the measurement based on the first type of resource set comprises measured channel information, the output of the first operation comprises predicted channel information.

[0615] As an embodiment, the measurement based on the first type of resource set comprises measured channel information, the output of the first operation comprises spatial beam prediction.

[0616] As an embodiment, the measurement based on the first type of resource set comprises measured channel information, the output of the first operation comprises spatial beam prediction for a second type of resource set.

[0617] As an embodiment, the resources in the second type of resource set comprise at least one of antenna ports, time-frequency resources, time-frequency code resources, beams, RS resources, vectors, or matrices.

[0618] As an embodiment, the above method has the benefits of reducing RS overhead and reducing feedback delay.

[0619] As an embodiment, the channel information in the present application comprises beam information.

[0620] As an embodiment, the measurement based on the first type of resource set comprises current channel information, the output of the first operation comprises predicted channel information.

[0621] As one embodiment, the measurement based on the first set of resources comprises historic channel information, and the output of the first operation comprises predicted channel information.

[0622] As one embodiment, the measurement based on the first set of resources comprises historic channel information, and the output of the first operation comprises Temporal beam prediction.

[0623] As one embodiment, the measurement based on the first set of resources comprises historic channel information, and the output of the first operation comprises Temporal beam prediction for the second set of resources.

[0624] As one embodiment, the benefits of the above method include reduced channel information feedback delay and improved real-time channel information acquisition.

[0625] As one embodiment, the measurement based on the first set of resources comprises current channel information, and the output of the first operation comprises channel information after a period of time.

[0626] As one embodiment, the measurement based on the first set of resources comprises current channel information, and the output of the first operation comprises future channel information.

[0627] As one embodiment, the measurement based on the first set of resources comprises historic channel information, and the output of the first operation comprises future channel information.

[0628] As one embodiment, the benefits of the above method include improved CSI accuracy and real-time, and reduced RS overhead.

[0629] As one embodiment, the measurement based on the first set of resources comprises incomplete channel information, and the output of the first operation comprises complete channel information.

[0630] As one embodiment, the benefits of the above method include reduced RS overhead, and improved CSI accuracy and completeness.

[0631] As one embodiment, the measurement based on the first set of resources comprises channel information for P1 antenna ports, and the output of the first operation comprises channel information for P2 antenna ports, where P1 and P2 are positive integers greater than 1, and P1 is less than P2.

[0632] As one sub-embodiment of the above embodiment, the P1 antenna ports are a proper subset of the P2 antenna ports.

[0633] As a sub-embodiment of the above embodiment, the P2 antenna ports belong to the second type of resource set.

[0634] As an embodiment, the measurement based on the first type of resource set comprises channel information of first frequency domain resources, the output of the first operation comprises channel information of second frequency domain resources, and the second frequency domain resources comprise frequency domain resources not belonging to the first frequency domain resources.

[0635] As a sub-embodiment of the above embodiment, the first frequency domain resources are a proper subset of the second frequency domain resources.

[0636] As an embodiment, the first operation is based on training.

[0637] As an embodiment, the first operation is obtained through training.

[0638] As an embodiment, the training for obtaining the first operation is performed by the first node.

[0639] As an embodiment, the training for obtaining the first operation is performed by a sender of configuration information for reporting the first type of channel information.

[0640] As an embodiment, the training for obtaining the first operation is performed by a sender of the first type of resource set.

[0641] As an embodiment, the training for obtaining the first operation is performed by an MDA function (Management Data Analytics Function).

[0642] As an embodiment, the training for obtaining the first operation is performed by an MDAS (Management Data Analytics Service) producer.

[0643] As an embodiment, the training for obtaining the first operation is performed by an NWDAF (Network Data Analytics Function).

[0644] As an embodiment, the training for obtaining the first operation is performed by a core network.

[0645] As an embodiment, the training for obtaining the first operation is performed by an AI training producer.

[0646] As an embodiment, the performer of the training for obtaining the first operation is different from a sender of configuration information for reporting the first type of channel information.

[0647] As one embodiment, the performer for obtaining the training of the first operation is different from the sender of the first set of resources.

[0648] As one embodiment, the first operation includes inference.

[0649] As one embodiment, the first operation includes AI (Artificial Intelligence).

[0650] As one embodiment, the first operation is inference.

[0651] As one embodiment, the first operation is AI inference.

[0652] As one embodiment, the first operation includes AI inference for CSI.

[0653] As one embodiment, the first operation includes AI inference for beam prediction.

[0654] As one embodiment, the benefits of the above method include improved performance of measurement and reporting of CSI (including beam), including more accurate CSI, lower reference signal overhead and reporting overhead, thus improving the overall system performance.

[0655] As one embodiment, the first operation is AI inference for CSI.

[0656] As one embodiment, the first operation includes AI inference for at least one of beam prediction, CSI prediction, CSI estimation, or CSI compression.

[0657] As one embodiment, the CSI prediction includes beam prediction.

[0658] As one embodiment, the benefits of the above method include more accurate and complete CSI, lower reference signal overhead, improved real-time performance of CSI.

[0659] As one embodiment, the first operation is based on an AI model.

[0660] As one embodiment, the first operation includes an AI entity.

[0661] As one embodiment, the first operation includes an AI inference entity.

[0662] As one embodiment, the first operation includes an AI entity for inference.

[0663] As one embodiment, the first operation comprises a portion of an AI entity.

[0664] As one embodiment, the first operation comprises a portion of an AI entity for inference.

[0665] As one embodiment, the first operation comprises an AI entity for CSI.

[0666] As one embodiment, the first operation comprises an AI entity for beam prediction.

[0667] As one embodiment, the first operation comprises an AI entity for CSI prediction, estimation, or compression.

[0668] As one embodiment, the first operation comprises inference of an AI entity for CSI.

[0669] As one embodiment, the first operation comprises inference of an AI entity for CSI prediction, estimation, or compression.

[0670] As one embodiment, the first operation is performed by an AI entity.

[0671] As one embodiment, the first operation is performed by an AI entity deployed at the first node.

[0672] As one embodiment, the first operation is performed by an AI function.

[0673] As one embodiment, the first operation is performed by an AI function deployed at the first node.

[0674] As one embodiment, the AI function comprises an AI inference function.

[0675] As one embodiment, the AI function comprises an AI training function.

[0676] As one embodiment, the AI function comprises an AI management function.

[0677] As one embodiment, the first operation is performed by a physical layer of the first node.

[0678] As one embodiment, the first operation is performed by a higher layer of the first node.

[0679] As one embodiment, the first operation is required for deployment.

[0680] As one embodiment, the first operation is obtained by a load.

[0681] As one embodiment, the first operation is obtained from a serving cell of the first node.

[0682] As one embodiment, the first operation is obtained from a maintaining base station of a serving cell of the first node.

[0683] As one embodiment, the first operation is obtained from a core network.

[0684] As one embodiment, the first operation is based on artificial intelligence or machine learning.

[0685] As one embodiment, the first operation is based on a neural network.

[0686] As one embodiment, the first operation comprises neural network based CSI compression.

[0687] As one embodiment, the first operation comprises a neural network based CSI compression encoder.

[0688] As one embodiment, the first operation comprises CNN based CSI compression.

[0689] As one embodiment, the first operation comprises a CNN based CSI compression encoder.

[0690] As one embodiment, the output of the first operation is non-codebook based.

[0691] As one embodiment, the output of the first operation is neither defined in 3GPP Rel-18 nor defined in a version before 3GPP Rel-18.

[0692] As one embodiment, the output of the first operation is based on artificial intelligence or machine learning.

[0693] As one embodiment, the output of the first operation is based on a neural network.

[0694] As one embodiment, the output of the first operation is based on a CNN.

[0695] As one embodiment, the output of the first operation comprises CSI.

[0696] As one embodiment, the output of the first operation comprises predicted beam information.

[0697] As one embodiment, the output of the first operation includes a beam indication and an RSRP.

[0698] As one embodiment, the output of the first operation includes an RS resource indication and an RSRP.

[0699] As one embodiment, the output of the first operation includes a resource indication and an RSRP.

[0700] As one embodiment, the output of the first operation includes one or more of a beam indication, a CRI (CSI-RS Resource Indicator), an SS / PBCH block resource indication (SSBRI), or an RSRP (reference signal received power).

[0701] As one embodiment, the output of the first operation includes one or more of a PMI, a CRI, a CQI, an RI, an LI, an SSBRI, an RSRP, an SINR, a capability index, and a TDCP.

[0702] As one embodiment, the output of the first operation includes a channel impulse response.

[0703] As one embodiment, the output of the first operation includes a small-scale property.

[0704] As one embodiment, the output of the first operation includes one or more of a delay spread, a Doppler spread, a Doppler shift, a mean delay, and a mean gain.

[0705] As one embodiment, the output of the first operation includes a channel matrix.

[0706] As one embodiment, the output of the first operation includes a first type of channel information reporting.

[0707] As one embodiment, the first type of channel information reporting includes predicted or estimated CSI.

[0708] As one embodiment, the first type of channel information reporting includes predicted beam information.

[0709] As one embodiment, in the above method, the first operation is used for beam prediction, CSI prediction or estimation to reduce RS overhead and / or improve CSI accuracy / integrity.

[0710] As one embodiment, the first node is a consumer.

[0711] As one embodiment, the first node is a consumer of AI function.

[0712] As one embodiment, the first node is a consumer of AI inference.

[0713] As one embodiment, the first node is a consumer of AI training.

[0714] As one embodiment, the first node is a MnS (Management Service) consumer.

[0715] As one embodiment, the first node is a producer of AI inference.

[0716] As one embodiment, the first node is a producer of AI training.

[0717] As one embodiment, the first operation includes pre-processing.

[0718] As one embodiment, the pre-processing includes DFT (Discrete Fourier Transform).

[0719] As one embodiment, the pre-processing includes one or more of matrix decomposition, matrix transformation, and projection.

[0720] As one embodiment, the pre-processing includes one or more of quantization, spatial-to-angle domain transformation, angle-to-spatial domain transformation, frequency-to-time domain transformation, and time-to-frequency domain transformation.

[0721] As one embodiment, the pre-processing includes truncation and / or padding.

[0722] As one embodiment, the pre-processing includes mapping.

[0723] As one embodiment, the pre-processing includes mapping to a vector.

[0724] As one embodiment, the pre-processing includes a label.

[0725] As one embodiment, the label refers to labeling with a label.

[0726] As one embodiment, the first operation includes post-processing.

[0727] As one embodiment, the post-processing includes DFT.

[0728] As one embodiment, the post-processing comprises quantization.

[0729] As one embodiment, the post-processing comprises one or more of angle domain to spatial domain transformation, spatial domain to angle domain transformation, time domain to frequency domain transformation and frequency domain to time domain transformation.

[0730] As one embodiment, the post-processing comprises truncation and / or padding.

[0731] As one embodiment, the first operation comprises one or more of convolution, pooling, concatenation and activation.

[0732] As one embodiment, the first operation comprises one fully connected layer.

[0733] As one embodiment, the first operation comprises one pooling layer.

[0734] As one embodiment, the first operation comprises at least one convolution layer.

[0735] As one embodiment, the first operation comprises at least one encoding layer.

[0736] As one embodiment, one encoding layer comprises at least one convolution layer and one pooling layer.

[0737] As one embodiment, in a convolution layer, at least one convolution kernel is used to convolve an input to generate a corresponding feature map, at least one feature map output by the convolution layer is reshaped into a vector input to a fully connected layer; the fully connected layer converts the one vector into an output.

[0738] As one embodiment, some or all of the convolution kernel size, the number of convolution layers, the convolution step, the pooling kernel size, the pooling kernel step, the pooling function, the activation function and the number of feature maps of the first operation are obtained through training.

[0739] As one embodiment, some or all of the convolution kernel, the pooling kernel, the pooling function, the activation function, the parameters of the pooling function and the parameters of the activation function of the first operation are obtained through training.

[0740] As one embodiment, the first set of resources comprises at least one RS resource set for channel measurement, one RS resource set for channel measurement comprises one or more RS resources; the input of the first operation depending on the measurement based on the first set of resources comprises: the input of the first operation depending on the channel measurement obtained based on the first set of resources.

[0741] As one embodiment, the first type of resource set comprises at least one RS resource set for interference measurement, and one RS resource set for interference measurement comprises one or more RS resources; the measurement based on the first type of resource set on which the input of the first operation depends comprises interference measurement obtained based on the first type of resource set.

[0742] As one embodiment, the first type of resource set comprises at least one RS resource set for channel measurement and at least one RS resource set for interference measurement; one RS resource set for channel measurement comprises one or more RS resources, and one RS resource set for interference measurement comprises one or more RS resources; the measurement based on the first type of resource set on which the input of the first operation depends comprises channel measurement and interference measurement obtained based on the first type of resource set.

[0743] As one embodiment, the measurement based on the first type of resource set on which the input of the first operation depends comprises that the measurement based on the first type of resource set is used to generate the input of the first operation.

[0744] As one embodiment, the first type of resource set comprises at least one RS resource set for channel measurement, and one RS resource set for channel measurement comprises one or more RS resources; the measurement based on the first type of resource set on which the input of the first operation depends comprises channel measurement obtained based on the first type of resource set.

[0745] As one embodiment, the first type of resource set comprises at least one RS resource set for interference measurement, and one RS resource set for interference measurement comprises one or more RS resources; the measurement based on the first type of resource set on which the input of the first operation depends comprises interference measurement obtained based on the first type of resource set.

[0746] As one embodiment, the first type of resource set comprises at least one RS resource set for channel measurement and at least one RS resource set for interference measurement; one RS resource set for channel measurement comprises one or more RS resources, and one RS resource set for interference measurement comprises one or more RS resources; the measurement based on the first type of resource set on which the input of the first operation depends comprises channel measurement and interference measurement obtained based on the first type of resource set.

[0747] As one embodiment, the channel measurement obtained based on the first set of resources refers to a channel measurement obtained based on at least one reference signal transmitted in the first set of resources.

[0748] As one embodiment, the channel measurement obtained based on the first set of resources refers to a channel measurement obtained in the first set of resources.

[0749] As one embodiment, the interference measurement obtained based on the first set of resources refers to an interference measurement obtained based on at least one reference signal transmitted in the first set of resources.

[0750] As one embodiment, the interference measurement obtained based on the first set of resources refers to an interference measurement obtained in the first set of resources.

[0751] As one embodiment, the channel measurement obtained based on the first set of resources comprises a channel matrix.

[0752] As one embodiment, the channel measurement obtained based on the first set of resources comprises a raw channel matrix.

[0753] As one embodiment, the channel measurement obtained based on the first set of resources comprises an eigenvector.

[0754] As one embodiment, the channel measurement obtained based on the first set of resources comprises an eigenvector and an eigenvalue.

[0755] As one embodiment, the channel measurement obtained based on the first set of resources comprises one or more of a BLER, a delay spread, a Doppler spread, a Doppler shift, a mean delay, a mean gain, a path loss, and a RSRP.

[0756] As one embodiment, the interference measurement obtained based on the first set of resources comprises at least one of an interference power, an interference variance, or an interference power spectral density.

[0757] As one embodiment, the interference measurement obtained based on the first set of resources comprises an interference channel matrix.

[0758] As one embodiment, the interference measurement obtained based on the first set of resources comprises an interference covariance matrix.

[0759] As one embodiment, the interference measurement obtained based on the first set of resources comprises an interference eigenvector.

[0760] As one embodiment, the interference measurements obtained based on the first set of resources include an interference eigenvector and an interference eigenvalue.

[0761] As one embodiment, the interference measurements obtained based on the first set of resources include an interference beam.

[0762] Generally, how the first node determines the input of the first operation based on the measurements of the first set of resources is up to the device vendor, and some non-limiting embodiments are described as follows:

[0763] As one embodiment, the input of the first operation includes channel measurements obtained based on the first set of resources.

[0764] As one embodiment, the input of the first operation includes channel measurements and interference measurements obtained based on the first set of resources.

[0765] As one embodiment, the input of the first operation includes interference measurements obtained based on the first set of resources.

[0766] As one embodiment, the interference measurements include one or more of an interference power, an interference variance, or an interference power spectral density.

[0767] As one embodiment, the input of the first operation includes a channel impulse response obtained based on the measurements for the first set of resources.

[0768] As one embodiment, the input of the first operation includes a channel matrix obtained based on the measurements for the first set of resources.

[0769] As one embodiment, the input of the first operation includes an eigenvector and an eigenvalue of a channel matrix obtained based on the measurements for the first set of resources.

[0770] As one embodiment, the input of the first operation includes a matrix or a vector obtained by pre-processing a channel matrix obtained based on the measurements for the first set of resources.

[0771] As one embodiment, the first set of resources includes at least one set of RS resources for channel measurement, and each set of RS resources for channel measurement includes one or more RS resources; and the input of the first operation based on the measurements of the first set of occasions includes channel measurements obtained based on the first set of occasions.

[0772] As one embodiment, the first type of resource set comprises at least one RS resource set for interference measurement, and one RS resource set for interference measurement comprises one or more RS resources; the input of the first operation depending on the measurement based on the first set of occasions comprises: the input of the first operation depending on the interference measurement obtained based on the first set of occasions.

[0773] As one embodiment, the first type of resource set comprises at least one RS resource set for channel measurement and at least one RS resource set for interference measurement; one RS resource set for channel measurement comprises one or more RS resources, and one RS resource set for interference measurement comprises one or more RS resources; the input of the first operation depending on the measurement based on the first set of occasions comprises: the input of the first operation depending on the channel measurement and the interference measurement obtained based on the first set of occasions.

[0774] As one embodiment, the input of the first operation depending on the measurement based on the first set of occasions comprises: the measurement based on the first set of occasions is used to generate the input of the first operation.

[0775] As one embodiment, the first type of resource set comprises at least one RS resource set for channel measurement, and one RS resource set for channel measurement comprises one or more RS resources; the input of the first operation depending on the measurement based on the first set of occasions comprises: the channel measurement obtained based on the first set of occasions is used to generate the input of the first operation.

[0776] As one embodiment, the first type of resource set comprises at least one RS resource set for interference measurement, and one RS resource set for interference measurement comprises one or more RS resources; the input of the first operation depending on the measurement based on the first set of occasions comprises: the interference measurement obtained based on the first set of occasions is used to generate the input of the first operation.

[0777] As one embodiment, the first type of resource set comprises at least one RS resource set for channel measurement and at least one RS resource set for interference measurement; one RS resource set for channel measurement comprises one or more RS resources, and one RS resource set for interference measurement comprises one or more RS resources; the input of the first operation depending on the measurement based on the first set of occasions comprises: the channel measurement and the interference measurement obtained based on the first set of occasions are used to generate the input of the first operation.

[0778] As one embodiment, the channel measurement obtained based on the first set of occasions refers to: the channel measurement obtained based on at least one reference signal transmitted in the first set of occasions.

[0779] As one embodiment, the channel measurement obtained based on the first set of occasions refers to a channel measurement obtained in the first set of occasions.

[0780] As one embodiment, the interference measurement obtained based on the first set of occasions refers to an interference measurement obtained based on at least one reference signal transmitted in the first set of occasions.

[0781] As one embodiment, the interference measurement obtained based on the first set of occasions refers to an interference measurement obtained in the first set of occasions.

[0782] As one embodiment, the channel measurement obtained based on the first set of occasions comprises a channel matrix.

[0783] As one embodiment, the channel measurement obtained based on the first set of occasions comprises a raw channel matrix.

[0784] As one embodiment, the channel measurement obtained based on the first set of occasions comprises an eigenvector.

[0785] As one embodiment, the channel measurement obtained based on the first set of occasions comprises an eigenvector and an eigenvalue.

[0786] As one embodiment, the channel measurement obtained based on the first set of occasions comprises one or more of a BLER, a delay spread, a Doppler spread, a Doppler shift, a mean delay, a mean gain, a path loss, and an RSRP.

[0787] As one embodiment, the interference measurement obtained based on the first set of occasions comprises at least one of an interference power, an interference variance, or an interference power spectral density.

[0788] As one embodiment, the interference measurement obtained based on the first set of occasions comprises an interference channel matrix.

[0789] As one embodiment, the interference measurement obtained based on the first set of occasions comprises an interference covariance matrix.

[0790] As one embodiment, the interference measurement obtained based on the first set of occasions comprises an interference eigenvector.

[0791] As one embodiment, the interference measurement obtained based on the first set of occasions comprises an interference eigenvector and an interference eigenvalue.

[0792] As one embodiment, the interference measurement obtained based on the first set of occasions comprises an interference beam.

[0793] Generally, how the first node determines the input of the first operation based on the measurements of the first set of occasions is up to the device vendor, and some non-limiting embodiments are described as follows:

[0794] As one embodiment, the input of the first operation includes channel measurements obtained based on the first set of occasions.

[0795] As one embodiment, the input of the first operation includes channel measurements and interference measurements obtained based on the first set of occasions.

[0796] As one embodiment, the input of the first operation includes interference measurements obtained based on the first set of occasions.

[0797] As one embodiment, the interference measurements include one or more of interference power, interference variance, or interference power spectral density.

[0798] As one embodiment, the input of the first operation includes channel impulse responses obtained based on the measurements for the first set of occasions.

[0799] As one embodiment, the input of the first operation includes channel matrices obtained based on the measurements for the first set of occasions.

[0800] As one embodiment, the input of the first operation includes eigenvectors and eigenvalues of channel matrices obtained based on the measurements for the first set of occasions.

[0801] As one embodiment, the input of the first operation includes matrices or vectors obtained by pre-processing channel matrices obtained based on the measurements for the first set of occasions.

[0802] As one embodiment, the channel matrices are in spatial-frequency domain.

[0803] As one embodiment, the channel matrices are in angular-delay domain projection.

[0804] As one embodiment, the pre-processing includes one or more of quantization, DFT (Discrete Fourier Transform), matrix decomposition, matrix transformation or projection, spatial-to-angular domain transformation, angular-to-spatial domain transformation, frequency-to-time domain transformation and time-to-frequency domain transformation, truncation, padding, mapping, labeling.

[0805] As one embodiment, the pre-processing includes one or more of matrix decomposition, matrix transformation or projection.

[0806] As one embodiment, the pre-processing includes quantization.

[0807] As one embodiment, the pre-processing includes DFT.

[0808] As one embodiment, the pre-processing includes one or more of quantization, spatial-to-angle domain transformation, angle domain-to-spatial transformation, frequency domain-to-time domain transformation and time domain-to-frequency domain transformation.

[0809] As one embodiment, the pre-processing includes truncation and / or padding.

[0810] As one embodiment, the pre-processing includes mapping.

[0811] As one embodiment, the pre-processing includes mapping to a vector.

[0812] As one embodiment, the pre-processing includes labeling.

[0813] As one embodiment, the labeling refers to labeling with a label.

[0814] As one embodiment, the generation of the first type of channel information report relies on measurements based on a first set of occasions, the first set of occasions including at least one transmission occasion of at least one RS resource in the first set of resources.

[0815] As one embodiment, the first set of resources includes at least one set of RS resources for channel measurement, one set of RS resources for channel measurement including one or more RS resources; and the generation of the first type of channel information report relying on measurements based on a first set of occasions includes the generation of the first type of channel information report relying on channel measurements obtained based on the first set of occasions.

[0816] As one embodiment, the first set of resources includes at least one set of RS resources for interference measurement, one set of RS resources for interference measurement including one or more RS resources; and the generation of the first type of channel information report relying on measurements based on a first set of occasions includes the generation of the first type of channel information report relying on interference measurements obtained based on the first set of occasions.

[0817] As an embodiment, the first type of resource set comprises at least one RS resource set for channel measurement and at least one RS resource set for interference measurement; one RS resource set for channel measurement comprises one or more RS resources, and one RS resource set for interference measurement comprises one or more RS resources; and the generation of the first type of channel information report relies on measurements based on the first set of occasions comprises that the generation of the first type of channel information report relies on channel measurement and interference measurement obtained based on the first set of occasions.

[0818] As an embodiment, the generation of the first type of channel information report relies on measurements based on the first set of occasions comprises that measurements based on the first set of occasions are used to generate the first type of channel information report.

[0819] As an embodiment, the first type of resource set comprises at least one RS resource set for channel measurement; one RS resource set for channel measurement comprises one or more RS resources; and the generation of the first type of channel information report relies on measurements based on the first set of occasions comprises that channel measurement obtained based on the first set of occasions is used to generate the first type of channel information report.

[0820] As an embodiment, the first type of resource set comprises at least one RS resource set for interference measurement; one RS resource set for interference measurement comprises one or more RS resources; and the generation of the first type of channel information report relies on measurements based on the first set of occasions comprises that interference measurement obtained based on the first set of occasions is used to generate the first type of channel information report.

[0821] As an embodiment, the first type of resource set comprises at least one RS resource set for channel measurement and at least one RS resource set for interference measurement; one RS resource set for channel measurement comprises one or more RS resources, and one RS resource set for interference measurement comprises one or more RS resources; and the generation of the first type of channel information report relies on measurements based on the first set of occasions comprises that the channel measurement and interference measurement obtained based on the first set of occasions are used to generate the first type of channel information report.

[0822] As an embodiment, the first set of occasions comprises at least one transmission occasion of at least one RS resource in the first type of resource set no later than a CSI reference resource.

[0823] As an embodiment, the first set of occasions comprises the latest transmission occasion of at least one RS resource in the first type of resource set no later than a CSI reference resource.

[0824] As an embodiment, the first set of occasions comprises one or more transmission occasions of at least one RS resource in the first set of resources no later than the latest one of the CSI reference resources.

[0825] As an embodiment, the first set of occasions comprises all transmission occasions of at least one RS resource in the first set of resources no later than the CSI reference resources.

[0826] As an embodiment, the first set of occasions comprises one transmission occasion of each of some or all RS resources in the first set of resources no later than the latest one of the CSI reference resources.

[0827] As an embodiment, the first set of occasions comprises one or more transmission occasions of each of some or all RS resources in the first set of resources no later than the latest one of the CSI reference resources.

[0828] As an embodiment, the first set of occasions comprises all transmission occasions of each of some or all RS resources in the first set of resources no later than the CSI reference resources.

[0829] As an embodiment, the channel measurement obtained based on the first set of occasions refers to a channel measurement obtained based on at least one reference signal transmitted in the first set of occasions.

[0830] As an embodiment, the channel measurement obtained based on the first set of occasions refers to a channel measurement obtained in the first set of occasions.

[0831] As an embodiment, the interference measurement obtained based on the first set of occasions refers to an interference measurement obtained based on at least one reference signal transmitted in the first set of occasions.

[0832] As an embodiment, the interference measurement obtained based on the first set of occasions refers to an interference measurement obtained in the first set of occasions.

[0833] As an embodiment, the channel measurement obtained based on the first set of occasions comprises a channel matrix.

[0834] As an embodiment, the channel measurement obtained based on the first set of occasions comprises a raw channel matrix.

[0835] As an embodiment, the channel measurement obtained based on the first set of occasions comprises an eigenvector.

[0836] As one embodiment, the channel measurements obtained based on the first set of occasions include eigen-vectors and eigen-values.

[0837] As one embodiment, the channel measurements obtained based on the first set of occasions include one or more of BLER, delay spread, Doppler spread, Doppler shift, average delay, average gain, path loss, and RSRP.

[0838] As one embodiment, the interference measurements obtained based on the first set of occasions include at least one of interference power, interference variance, or interference power spectral density.

[0839] As one embodiment, the interference measurements obtained based on the first set of occasions include an interference channel matrix.

[0840] As one embodiment, the interference measurements obtained based on the first set of occasions include an interference covariance matrix.

[0841] As one embodiment, the interference measurements obtained based on the first set of occasions include interference eigen-vectors.

[0842] As one embodiment, the interference measurements obtained based on the first set of occasions include interference eigen-vectors and interference eigen-values.

[0843] As one embodiment, the interference measurements obtained based on the first set of occasions include interference beams.

[0844] In general, how the first node generates the first type of channel information reporting is based on measurements made based on the first set of occasions, which is left to the device vendor to determine. Some non-limiting embodiments are described below:

[0845] As one embodiment, the measurements based on the first set of occasions include channel measurements obtained based on the first set of occasions.

[0846] As one embodiment, the measurements based on the first set of occasions include channel measurements and interference measurements obtained based on the first set of occasions.

[0847] As one embodiment, the measurements based on the first set of occasions include interference measurements obtained based on the first set of occasions.

[0848] As one embodiment, the interference measurements include one or more of interference power, interference variance, or interference power spectral density.

[0849] As one embodiment, the measurements based on the first set of occasions include channel impulse responses obtained based on measurements made for the first set of occasions.

[0850] As one embodiment, the measurements based on the first set of occasions include a channel matrix obtained based on the measurements for the first set of occasions.

[0851] As one embodiment, the measurements based on the first set of occasions include eigenvectors and eigenvalues of a channel matrix obtained based on the measurements for the first set of occasions.

[0852] As one embodiment, the measurements based on the first set of occasions include a matrix or vector resulting from pre-processing a channel matrix obtained based on the measurements for the first set of occasions.

[0853] As one embodiment, the channel matrix is in spatial-frequency domain.

[0854] As one embodiment, the channel matrix is in angular-delay domain projection.

[0855] As one embodiment, the pre-processing includes one or more of quantization, DFT (Discrete Fourier Transform), matrix decomposition, matrix transformation or projection, spatial-to- angular domain transformation, angular-to-spatial domain transformation, frequency-to-time domain transformation and time-to-frequency domain transformation, truncation, padding, mapping, and labeling.

[0856] As one embodiment, the pre-processing includes one or more of matrix decomposition, matrix transformation or projection.

[0857] As one embodiment, the pre-processing includes quantization.

[0858] As one embodiment, the pre-processing includes DFT.

[0859] As one embodiment, the pre-processing includes one or more of quantization, spatial-to- angular domain transformation, angular-to-spatial domain transformation, frequency-to-time domain transformation and time-to-frequency domain transformation.

[0860] As one embodiment, the pre-processing includes truncation and / or padding.

[0861] As one embodiment, the pre-processing includes mapping.

[0862] As one embodiment, the pre-processing includes mapping to a vector.

[0863] As one embodiment, the pre-processing includes labeling.

[0864] As an embodiment, the label refers to marking with a label.

[0865] In embodiment 10C, the one first-type channel information reporting is associated to one first-type identification includes: a generation mode of the first-type channel information reporting uses an AI model identified by the first-type identification, or, the first-type channel information reporting is generated by an AI entity identified by the first-type identification, or, the first-type channel information reporting is used for an AI function identified by the first-type identification.

[0866] As an embodiment, the generation mode of the first-type channel information reporting uses an AI model identified by the first-type identification.

[0867] As an embodiment, the first-type channel information reporting is generated by an AI entity identified by the first-type identification.

[0868] As an embodiment, the first-type channel information reporting is used for an AI function identified by the first-type identification.

[0869] Embodiment 11

[0870] Embodiment 11 illustrates a schematic diagram of N first-type channel information reporting according to an embodiment of the present application; as described in FIG. 11.

[0871] In embodiment 11, the N first-type channel information reporting starts to occupy processing units on the same symbol; or, starts to calculate or generate for the N first-type channel information reporting on the same symbol. In FIG. 11, symbol #1 is the same symbol.

[0872] As an embodiment, the symbol is a single-carrier symbol.

[0873] As an embodiment, the symbol is a multi-carrier symbol.

[0874] As an embodiment, the symbol is a 5G symbol.

[0875] As an embodiment, the symbol is a 6G single-carrier symbol.

[0876] As an embodiment, the symbol is a 6G multi-carrier symbol.

[0877] As an embodiment, the multi-carrier symbol is an OFDM (Orthogonal Frequency Division Multiplexing) symbol.

[0878] As one embodiment, the symbol is obtained after OFDM symbol generation of an output of transform precoding.

[0879] As one embodiment, the multi-carrier symbol is a SC-FDMA (Single Carrier-Frequency Division Multiple Access) symbol.

[0880] As one embodiment, the multi-carrier symbol is a DFT-S-OFDM (Discrete Fourier Transform Spread OFDM) symbol.

[0881] As one embodiment, the multi-carrier symbol is a FBMC (Filter Bank Multi Carrier) symbol.

[0882] As one embodiment, the multi-carrier symbol comprises a CP (Cyclic Prefix).

[0883] As one embodiment, the N first type channel information reports start occupying processing units on the same symbol.

[0884] As one embodiment, calculation or generation for the N first type channel information reports starts on the same symbol.

[0885] As one embodiment, the processing unit is a CSI processing unit (CPU).

[0886] As one embodiment, calculation or generation of the CSI occupies at least one processing unit.

[0887] As one embodiment, calculation or generation of the first type channel information report occupies at least one processing unit.

[0888] As one embodiment, one first type channel information report occupies at least one processing unit.

[0889] As one embodiment, one first type channel information report occupies at least one processing unit, and the number of processing units occupied by one first type channel information report depends on at least one of the following: the amount of the report, the type of the report, the number of RS resources in the first type resource set, or the number of resources in the second type resource set.

[0890] As an example, the number of RS resources in the first type of resource set is the number of RS resources in the first type of resource set for channel measurement.

[0891] As an example, the number of RS resources in the first type of resource set is the total number of all RS resources in the first type of resource set.

[0892] Embodiments 12A-12B

[0893] Embodiments 12A-12B respectively illustrate a schematic diagram of M first type of channel information reporting according to an embodiment of the present application; as shown in FIG. 12A-12B. In FIG. 12A-12B, first type of channel information reporting #1, …, first type of channel information reporting #N are N first type of channel information reporting respectively; first type of channel information reporting #il, …, first type of channel information reporting #iM are M first type of channel information reporting in the N first type of channel information reporting.

[0894] In embodiment 12A, the M first type of channel information reporting comprises first type of channel information reporting in the N first type of channel information reporting satisfying a reference condition; the reference condition comprises: the associated first type of identifier is a default value in the first type of identifier respectively associated with the N first type of channel information reporting.

[0895] As an example, the default value in the first type of identifier respectively associated with the N first type of channel information reporting refers to the minimum value in the first type of identifier respectively associated with the N first type of channel information reporting.

[0896] As an example, the default value in the first type of identifier respectively associated with the N first type of channel information reporting refers to the maximum value in the first type of identifier respectively associated with the N first type of channel information reporting.

[0897] As an example, the default value in the first type of identifier respectively associated with the N first type of channel information reporting is configurable.

[0898] As an example, the default value in the first type of identifier respectively associated with the N first type of channel information reporting is predefined.

[0899] In embodiment 12B, the determination of the M first type of channel information reporting depends on the first type of identifier associated with a first reference reporting, the first reference reporting being one of the N first type of channel information reporting.

[0900] As an example, the first type of identifier associated with the first reference reporting is used to determine the M first type of channel information reporting from the N first type of channel information reporting.

[0901] As one embodiment, the first type identifier associated with the first reference report is used to determine N-M first type channel information reports from the N first type channel information reports, the M first type channel information reports consisting of first type channel information reports other than the N-M first type channel information reports from the N first type channel information reports.

[0902] As one embodiment, the determination of at least one first type channel information report from the M first type channel information reports relies on the first type identifier associated with the first reference report.

[0903] As one embodiment, the determination of only some first type channel information reports from the M first type channel information reports relies on the first type identifier associated with the first reference report.

[0904] As one embodiment, the determination of each first type channel information report from the M first type channel information reports relies on the first type identifier associated with the first reference report.

[0905] As one embodiment, the first reference report is the first type channel information report with the highest priority from the N first type channel information reports.

[0906] As one embodiment, the first reference report is the first type channel information report associated with the smallest first type identifier from the N first type channel information reports.

[0907] As one embodiment, the first type identifier associated with the first reference report is the smallest value from the first type identifiers respectively associated with the N first type channel information reports.

[0908] As one embodiment, the first reference report is the first type channel information report associated with the largest first type identifier from the N first type channel information reports.

[0909] As one embodiment, the first type identifier associated with the first reference report is the largest value from the first type identifiers respectively associated with the N first type channel information reports.

[0910] As one embodiment, the first reference report is the first type channel information report that is activated or triggered earliest from the N first type channel information reports.

[0911] As one embodiment, the first reference report is the first type channel information report that is activated or triggered latest from the N first type channel information reports.

[0912] As an embodiment, the first reference report is the earliest one of the N first type channel information reports.

[0913] As an embodiment, the first reference report is the latest one of the N first type channel information reports.

[0914] As an embodiment, the first reference report is the first one of the N first type channel information reports.

[0915] As an embodiment, the N first type channel information reports correspond to N second type identifiers respectively, and the first reference report is one of the N first type channel information reports corresponding to the minimum value of the N second type identifiers.

[0916] As an embodiment, the N first type channel information reports correspond to N second type identifiers respectively, and the first reference report is one of the N first type channel information reports corresponding to the maximum value of the N second type identifiers.

[0917] As an embodiment, the second type identifier corresponding to one first type channel information report is used to identify the configuration information of the first type channel information report.

[0918] As an embodiment, the second type identifier corresponding to one first type channel information report is used to identify the serving cell where the first type channel information report is located.

[0919] As an embodiment, the second type identifier corresponding to one first type channel information report is used to identify the bandwidth part (BWP) where the first type channel information report is located.

[0920] As an embodiment, the second type identifier corresponding to one first type channel information report is used to identify the control resource set (CORESET) triggering the first type channel information report.

[0921] As an embodiment, the second type identifier corresponding to one first type channel information report is used to identify the CORESET pool triggering the first type channel information report.

[0922] As an embodiment, the second type identifier corresponding to one first type channel information report is used to identify the search space triggering the first type channel information report.

[0923] As an embodiment, a first type of channel information reporting corresponds to a second type of identifier used to identify a search space triggering the first type of channel information reporting.

[0924] As an embodiment, a priority of a first type of channel information reporting is configurable.

[0925] As an embodiment, a priority of a first type of channel information reporting is calculated by a formula.

[0926] As an embodiment, a priority of a first type of channel information reporting depends on at least one of an identifier of configuration information of the first type of channel information reporting, a serving cell where the first type of channel information reporting is located, a reporting quantity, or a reporting type.

[0927] Embodiments 13A-13B

[0928] Embodiments 13A-13B respectively illustrate a schematic diagram of M first type of channel information reporting according to another embodiment of the present application; as shown in FIGS. 13A-13B.

[0929] In embodiment 13A, the M first type of channel information reporting includes at least one first type of channel information reporting of the N first type of channel information reporting satisfying a first condition; the first condition includes that the first type of identifier associated and the first type of identifier associated with a first reference reporting are the same; the first reference reporting is one of the N first type of channel information reporting. In FIG. 13A, the first type of channel information reporting #1, …, the first type of channel information reporting #N are respectively N first type of channel information reporting; the first type of channel information reporting #i1, …, the first type of channel information reporting #iM are respectively M first type of channel information reporting of the N first type of channel information reporting.

[0930] In the above method, the N first type of channel information reporting respectively associates N first type of identifier, and the number of different first type of identifier in the N first type of identifier is greater than 1.

[0931] As an embodiment, the M first type of channel information reporting is composed of at least one first type of channel information reporting of the N first type of channel information reporting satisfying a first condition.

[0932] As an embodiment, each first type of channel information reporting of the M first type of channel information reporting satisfies the first condition.

[0933] As an embodiment, in the above method, the number of supported simultaneous AI models or the first operation in the present application is 1.

[0934] As an embodiment, in the above method, the first maximum integer in the present disclosure is equal to 1.

[0935] As an embodiment, part of the M first type channel information reports includes at least one first type channel information report in the N first type channel information reports that satisfies the first condition.

[0936] As an embodiment, part of the M first type channel information reports satisfies the first condition.

[0937] As an embodiment, the first target reporting group includes each first type channel information report in the N first type channel information reports that satisfies the first condition; the first reference reporting group includes all first type channel information reports in the N first type channel information reports except the first target reporting group; and the M first type channel information reports include at least one first type channel information report in the first target reporting group and the first reference reporting group.

[0938] As an embodiment, the first target reporting group includes each first type channel information report in the N first type channel information reports that satisfies the first condition; the first reference reporting group includes all first type channel information reports in the N first type channel information reports except the first target reporting group; and the M first type channel information reports include at least one first type channel information report with the highest priority in the first target reporting group and the first reference reporting group.

[0939] As an embodiment, in the above method, the number of supported simultaneous AI models or the first operation in the present disclosure is greater than 1.

[0940] As an embodiment, in the above method, the first maximum integer in the present disclosure is greater than 1.

[0941] In embodiment 13B, the M first type channel information reports include at least one or each first type channel information report in the N first type channel information reports that satisfies a first condition; the M first type channel information reports further include at least one first type channel information report in the N first type channel information reports that satisfies a second condition; wherein,

[0942] The first condition includes: the first type identifier associated and the first type identifier associated with the first reference report are the same; and the first reference report is one of the N first type channel information reports.

[0943] The second condition comprises: the first type identifier associated with the second reference report is the same as the first type identifier associated with the first reference report; the second reference report is one of the N first type channel information reports, and the first type identifier associated with the second reference report is different from the first type identifier associated with the first reference report.

[0944] In FIG. 13B, the first type channel information report #1, …, the first type channel information report #N are N first type channel information reports respectively; the first type channel information report #i is one first type channel information report satisfying the first condition, and the first type channel information report #j is one first type channel information report satisfying the second condition.

[0945] In the above method, the N first type channel information reports are respectively associated with N first type identifiers, and the number of different first type identifiers in the N first type identifiers is equal to 2.

[0946] In the above method, the N first type channel information reports are respectively associated with N first type identifiers, and the number of different first type identifiers in the N first type identifiers is greater than 2.

[0947] As an embodiment, the M first type channel information reports comprise each first type channel information report in the N first type channel information reports satisfying the first condition; and the M first type channel information reports further comprise at least one first type channel information report in the N first type channel information reports satisfying the second condition.

[0948] As an embodiment, the M first type channel information reports comprise at least one first type channel information report in the N first type channel information reports satisfying the first condition; and the M first type channel information reports further comprise at least one first type channel information report in the N first type channel information reports satisfying the second condition.

[0949] As an embodiment, the determination of the M first type channel information reports comprises: first, determining a first target report group, the first target report group comprising each first type channel information report in the N first type channel information reports satisfying the first condition; then, determining a second target report group from a first reference report group, the first reference report group comprising all first type channel information reports in the N first type channel information reports except the first target report group, the second target report group comprising at least one first type channel information report in the first reference report group satisfying the second condition; and the M first type channel information reports comprise all first type channel information reports in the first target report group and the second target report group.

[0950] As an embodiment, the first target reporting group comprises each of the N first type channel information reports satisfying the first condition; the first reference reporting group comprises all of the N first type channel information reports except the first target reporting group; and the second reference report is one of the first type channel information reports in the first reference reporting group with the highest priority.

[0951] As an embodiment, the first target reporting group comprises each of the N first type channel information reports satisfying the first condition; the first reference reporting group comprises all of the N first type channel information reports except the first target reporting group; and the second reference report is one of the first type channel information reports in the first reference reporting group with the smallest associated first type identifier.

[0952] As an embodiment, the first target reporting group comprises each of the N first type channel information reports satisfying the first condition; the first reference reporting group comprises all of the N first type channel information reports except the first target reporting group; and the second reference report is one of the first type channel information reports in the first reference reporting group with the smallest associated first type identifier.

[0953] As an embodiment, the first target reporting group comprises each of the N first type channel information reports satisfying the first condition; the first reference reporting group comprises all of the N first type channel information reports except the first target reporting group; and the second reference report is one of the first type channel information reports in the first reference reporting group with the largest associated first type identifier.

[0954] As an embodiment, the first target reporting group comprises each of the N first type channel information reports satisfying the first condition; the first reference reporting group comprises all of the N first type channel information reports except the first target reporting group; and the second reference report is one of the first type channel information reports in the first reference reporting group with the largest associated first type identifier.

[0955] As an embodiment, the first target reporting group comprises each of the N first type channel information reports satisfying the first condition; the first reference reporting group comprises all of the N first type channel information reports except the first target reporting group; and the second reference report is the earliest activated or triggered first type channel information report in the first reference reporting group.

[0956] As an embodiment, the first target reporting group comprises each of the N first type channel information reports satisfying the first condition; the first reference reporting group comprises all of the N first type channel information reports except the first target reporting group; and the second reference report is the latest activated or triggered first type channel information report in the first reference reporting group.

[0957] As an embodiment, the first target reporting group comprises each of the N first type channel information reports satisfying the first condition; the first reference reporting group comprises all of the N first type channel information reports except the first target reporting group; and the second reference report is the earliest first type channel information report in the first reference reporting group.

[0958] As an embodiment, the first target reporting group comprises each of the N first type channel information reports satisfying the first condition; the first reference reporting group comprises all of the N first type channel information reports except the first target reporting group; and the second reference report is the latest first type channel information report in the first reference reporting group.

[0959] As an embodiment, the first target reporting group comprises each of the N first type channel information reports satisfying the first condition; the first reference reporting group comprises all of the N first type channel information reports except the first target reporting group; and the second reference report is the first first type channel information report in the first reference reporting group.

[0960] As an embodiment, the first target reporting group comprises each of the N first type channel information reports satisfying the first condition; the first reference reporting group comprises all of the N first type channel information reports except the first target reporting group; and each of the first type channel information reports in the first reference reporting group corresponds to a second type identifier, and the second reference report is the first type channel information report with the minimum corresponding second type identifier in the first reference reporting group.

[0961] As an embodiment, the first target reporting group includes each of the N first type channel information reports that satisfy the first condition; the first reference reporting group includes all of the first type channel information reports other than the first target reporting group among the N first type channel information reports; each of the first type channel information reports in the first reference reporting group corresponds to a second type identifier, and the second reference report is a first type channel information report with the largest corresponding second type identifier in the first reference reporting group.

[0962] As an embodiment, in the above method, the number of supported simultaneous AI models or the first operations in the present application is 2.

[0963] As an embodiment, in the above method, the number of supported simultaneous AI models or the first operations in the present application is greater than 1.

[0964] As an embodiment, in the above method, the first maximum integer in the present application is 2.

[0965] As an embodiment, in the above method, the first maximum integer in the present application is greater than 1.

[0966] Embodiment 14

[0967] Embodiment 14 illustrates a schematic diagram of the relationship between M first type channel information reports and a third condition according to an embodiment of the present application; as shown in FIG. 14.

[0968] In embodiment 14, the M first type channel information reports satisfy the third condition, and the third condition includes that the total number of processing units occupied by the M first type channel information reports is less than or equal to a first reference positive integer.

[0969] As an embodiment, the first reference positive integer is a positive integer.

[0970] As an embodiment, the first reference positive integer is reported by the first node.

[0971] As an embodiment, the first reference positive integer is indicated by the first node to the sender of the first information set.

[0972] As an embodiment, the first reference positive integer is indicated by the sender of the first information set to the first node.

[0973] As an embodiment, the first reference positive integer is indicated by the first node through a parameter simultaneousCSI-ReportsPerCC or simultaneousCSI-ReportsAllCC.

[0974] As an embodiment, the first reference positive integer is the total number of processing units that are not occupied.

[0975] As an embodiment, the first reference positive integer is equal to or less than the total number of processing units.

[0976] As an embodiment, the first reference positive integer is N CPU -L, wherein N CPU is the number of supported simultaneous CSI calculation, and the L is the total number of processing units that have been occupied.

[0977] As an embodiment, the first reference positive integer is the number of supported simultaneous CSI calculation or generation.

[0978] As an embodiment, the M first type channel information reports include at least one first type channel information report in the N first type channel information reports that satisfies a first condition; the M first type channel information reports satisfy a third condition; wherein,

[0979] The first condition includes that the associated first type identifier and the first type identifier associated with a first reference report are the same; the first reference report is one of the N first type channel information reports;

[0980] The third condition includes that the total number of processing units occupied by the M first type channel information reports is less than or equal to a first reference positive integer.

[0981] As an embodiment, the first target report group includes each first type channel information report in the N first type channel information reports that satisfies the first condition; the first reference report group includes all first type channel information reports in the N first type channel information reports except the first target report group; the M first type channel information reports include at least one first type channel information report in the first target report group and the first reference report group; the M first type channel information reports satisfy a third condition; the third condition includes that the total number of processing units occupied by the M first type channel information reports is less than or equal to a first reference positive integer.

[0982] As an embodiment, the M first-type channel information reports comprise at least one or each of the N first-type channel information reports satisfying a first condition; the M first-type channel information reports further comprise at least one first-type channel information report of the N first-type channel information reports satisfying a second condition; the M first-type channel information reports satisfy a third condition; wherein,

[0983] The first condition comprises that the first-type identifier associated therewith is the same as a first reference report associated therewith; the first reference report is one of the N first-type channel information reports;

[0984] The second condition comprises that the first-type identifier associated therewith is the same as a second reference report associated therewith; the second reference report is one of the N first-type channel information reports, and the first-type identifier associated with the second reference report is different from the first-type identifier associated with the first reference report;

[0985] The third condition comprises that a total number of processing units occupied by the M first-type channel information reports is less than or equal to a first reference positive integer.

[0986] As an embodiment, the M is a maximum integer that is not greater than the N and satisfies the third condition.

[0987] In the above method, as many first-type channel information reports as possible are processed without exceeding the total number of processing units.

[0988] Embodiment 15

[0989] Embodiment 15 illustrates a schematic diagram of the relationship between M first-type channel information reports and a fourth condition according to an embodiment of the present application; as shown in FIG. 15. In FIG. 15, first-type channel information report #1, …, first-type channel information report #M are M first-type channel information reports respectively, and first-type identifier #1, …, first-type identifier #M are M first-type identifiers respectively.

[0990] In embodiment 15, the M first-type channel information reports are respectively associated with M first-type identifiers; the M first-type channel information reports satisfy a fourth condition, and the fourth condition comprises that the number of different first-type identifiers in the M first-type identifiers is less than or equal to a first maximum integer.

[0991] As an embodiment, the first maximum integer is a positive integer.

[0992] As an embodiment, the first maximum integer is reported by the first node.

[0993] As an embodiment, the first maximum integer is indicated by the first node to a sender of the first set of information.

[0994] As an embodiment, the first maximum integer is indicated by a sender of the first set of information to the first node.

[0995] As an embodiment, the first maximum integer belongs to a capability report of the first node.

[0996] As an embodiment, the first maximum integer is indicated by a capability parameter of the first node.

[0997] As an embodiment, the first maximum integer is a number of simultaneous AI models supported.

[0998] As an embodiment, the first maximum integer is a number of simultaneous first operations supported.

[0999] As an embodiment, the first maximum integer is equal to 1, and the M first type channel information reports consist of at least one first type channel information report in the N first type channel information reports that satisfies a first condition; the first condition includes that the first type identifier associated and the first reference report associated the first type identifier are the same; the first reference report is one of the N first type channel information reports.

[1000] As an embodiment, the first maximum integer is equal to or greater than 2, and the M first type channel information reports consist of at least one first type channel information report in the N first type channel information reports that satisfies a first condition; the first condition includes that the first type identifier associated and the first reference report associated the first type identifier are the same; the first reference report is one of the N first type channel information reports.

[1001] As an embodiment, the first maximum integer is equal to 2; the M first type channel information reports include at least one first type channel information report in the N first type channel information reports that satisfies a first condition; the M first type channel information reports also include at least one first type channel information report in the N first type channel information reports that satisfies a second condition; wherein,

[1002] the first condition includes that the first type identifier associated and the first reference report associated the first type identifier are the same; the first reference report is one of the N first type channel information reports;

[1003] The second condition comprises: the first type of identifier associated and the first type of identifier associated with the second reference report are the same; the second reference report is one of the N first type of channel information reports, and the first type of identifier associated with the second reference report is different from the first type of identifier associated with the first reference report.

[1004] Embodiment 16

[1005] Embodiment 16 illustrates a schematic diagram of an artificial intelligence or machine learning based processing system according to an embodiment of the present application; as shown in FIG. 16. FIG. 16(a) comprises a third processor, a fourth processor and a fifth processor, and FIG. 16(b) comprises a third processor, a fourth processor, a fifth processor and a sixth processor.

[1006] In embodiment 16(a), the third processor sends a first data set to the fourth processor and a second data set to the fifth processor; the fourth processor generates a target first type of parameter set according to the first data set, and the fourth processor sends the generated target first type of parameter set to the fifth processor; the fifth processor processes the second data set using the target first type of parameter set to obtain a first type of output. In FIG. 16(a), the first type of feedback is optional.

[1007] In embodiment 16(b), the third processor sends a first data set to the fourth processor and a second data set to the fifth processor; the fourth processor generates a target first type of parameter set according to the first data set, and the fourth processor sends the generated target first type of parameter set to the fifth processor; the fifth processor processes the second data set using the target first type of parameter set to obtain a first type of output, and the fifth processor sends the first type of output to the sixth processor. In FIG. 16(b), the first type of feedback and the second type of feedback are optional.

[1008] As an embodiment, in FIG. 16(a), the fifth processor sends the first type of output to the second node in the present application.

[1009] As an embodiment, FIG. 16(a) uses a single side AI model for beam prediction or channel information prediction, and the fifth processor performs the first operation for beam prediction or channel information prediction.

[1010] As one embodiment, FIG. 16(b) employs a two-sided AI model for CSI compression, the first operation for compressing CSI, the second operation for restoring CSI, the fifth processing machine performing the first operation, and the sixth processing machine including the second operation.

[1011] As one embodiment, the AI includes Machine Learning (ML) inference.

[1012] As one embodiment, the fifth processing machine performs the first operation.

[1013] As one embodiment, the sixth processing machine includes the second operation.

[1014] As one embodiment, the fifth processing machine sends first-type feedback to the fourth processing machine, the first-type feedback being used to trigger re-computation or update of the target first-type parameter set.

[1015] As one embodiment, the sixth processing machine sends second-type feedback to the third processing machine, the second-type feedback being used to generate the first data set or the second data set, or the second-type feedback being used to trigger sending of the first data set or sending of the second data set.

[1016] As one embodiment, the third processing machine generates the first data set and the second data set according to measurement of first-type wireless signals, the first-type wireless signals including downlink RS.

[1017] As one embodiment, the fifth processing machine belongs to the first node, and the sixth processing machine belongs to the second node.

[1018] As one embodiment, the first-type channel information reporting belongs to the first-type output.

[1019] As one embodiment, the second data set includes the input of the first operation.

[1020] As one embodiment, the second data set includes information obtained based on the first configuration and the M1 configurations.

[1021] As one embodiment, the first data set includes Training Data.

[1022] As one embodiment, the fourth processing machine belongs to a producer of the first operation.

[1023] As one embodiment, the fourth processing machine includes an AI training producer.

[1024] As an embodiment, the fourth handler comprises an AI training function.

[1025] As an embodiment, the fourth handler is used for model training, and a trained model is described by the target first-type parameter group.

[1026] As an embodiment, the fourth handler belongs to the first node.

[1027] The above embodiment avoids passing the first data set to the second node.

[1028] As an embodiment, the fourth handler belongs to the second node.

[1029] The above embodiment supports joint training and optimizes system performance.

[1030] As an embodiment, the fourth handler belongs to the core network.

[1031] The above embodiment supports network-wide joint training and further optimizes system performance.

[1032] As an embodiment, the second data set comprises inference data.

[1033] As an embodiment, the fifth handler comprises an AI inference producer.

[1034] As an embodiment, the fifth handler comprises an AI inference function.

[1035] As an embodiment, the fifth handler belongs to the first node.

[1036] As an embodiment, the fifth handler constructs a model according to the target first-type parameter group, and then inputs the second data set into the constructed model to obtain the first-type output.

[1037] As an embodiment, the first operation is described by the target first-type parameter group.

[1038] As an embodiment, the target first-type parameter group is used to construct the first operation.

[1039] As an embodiment, the fifth handler comprises the second operation.

[1040] As one embodiment, the fifth processor generates a recovery data set from the first type of output, and an error of the recovery data set is used to generate the first type of feedback.

[1041] As one sub-embodiment of the above embodiment, the generation of the recovery data set employs a similar second operation.

[1042] As one embodiment, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model cannot meet the requirement, the fourth processor recalculates the target first type of parameter set.

[1043] As one embodiment, when the error is too large or the update is not performed for too long a time, the performance of the trained model is considered to be unable to meet the requirement.

[1044] As one embodiment, the target first type of parameter set includes one or more of a convolution kernel size, a convolution layer number, a convolution step, a pooling kernel size, a pooling kernel step, a pooling function, an activation function, or a feature map number.

[1045] As one embodiment, the target first type of parameter set includes one or more of a convolution kernel, a pooling kernel, a pooling function, an activation function, a parameter of the pooling function, or a parameter of the activation function.

[1046] Embodiment 17

[1047] Embodiment 17 illustrates a schematic diagram based on artificial intelligence or machine learning according to one embodiment of the present application; as shown in FIG. 17. FIG. 17 includes a third operation, a fourth operation, a fifth operation, a sixth operation, and a seventh operation. In embodiment 17, the third operation and the fourth operation belong to a first stage, the fifth operation belongs to a second stage, the sixth operation belongs to a third stage, and the seventh operation belongs to a fourth stage. In FIG. 17, the line with an arrow indicates the order of the flow.

[1048] As one embodiment, the third operation includes AI training, the fourth operation includes AI testing, the fifth operation includes AI emulation, the sixth operation includes AI entity loading, and the seventh operation includes AI inference.

[1049] As one embodiment, the first stage includes a training phase, the second stage includes an emulation phase, the third stage includes a deployment phase, and the fourth stage includes an inference phase.

[1050] As one embodiment, the first stage includes AI model training.

[1051] As one embodiment, the first stage includes AI model training and AI testing.

[1052] As one embodiment, the AI includes ML (Machine Learning) inference.

[1053] As one embodiment, the AI model training includes initial training and re-training of one or a set of AI entities.

[1054] As one embodiment, the AI model training relies on training data.

[1055] As one embodiment, the AI model training includes AI entity validation.

[1056] As one embodiment, the AI entity validation is used to evaluate the performance of the AI entity.

[1057] As one embodiment, the AI entity validation relies on validation data.

[1058] As one embodiment, if the result of AI entity validation does not meet the expectation, the AI model will be re-trained.

[1059] As one embodiment, the AI testing includes testing the validated AI entity to evaluate the performance of the trained AI model.

[1060] As one embodiment, if the result of AI testing meets the expectation, the AI entity proceeds to the next stage; otherwise, the AI model will be re-trained.

[1061] As one embodiment, the AI testing relies on testing data.

[1062] As one embodiment, the second stage includes AI simulation, which is the inference of the AI entity in a simulation environment.

[1063] As one embodiment, the AI simulation is to estimate the performance of the inference of the AI entity in a simulation environment before using the AI entity.

[1064] As one embodiment, the second stage is optional.

[1065] As one embodiment, the third stage includes AI entity loading for obtaining trained AI entity for desired AI inference function.

[1066] As one embodiment, the third stage is optional.

[1067] As one embodiment, the third stage is not needed when training function and inference function are co-located.

[1068] As one embodiment, the fourth stage includes AI inference.

[1069] As one embodiment, the seventh operation includes the first operation.

[1070] As one embodiment, the seventh operation includes the second operation.

[1071] Embodiment 18

[1072] Embodiment 18 illustrates a structural block diagram of a processing apparatus in a first node according to an embodiment of the application; as shown in FIG. 18. In FIG. 18, the processing apparatus 1800 in the first node includes a first receiver 1801 and a first processor 1802.

[1073] As one embodiment, the first node is a user equipment.

[1074] As one embodiment, the first node is a relay node device.

[1075] As one embodiment, the first receiver 1801 includes at least one of {antenna 452, receiver 454, receive processor 456, multi-antenna receive processor 458, controller / processor 459, memory 460, data source 467} in embodiment 4.

[1076] As one embodiment, the first processor 1802 includes at least one of {antenna 452, receiver / transmitter 454, receive processor 456, transmit processor 468, multi-antenna receive processor 458, multi-antenna transmit processor 457, controller / processor 459, memory 460, data source 467} in embodiment 4.

[1077] The first receiver 1801 receives a first set of information, which is used to configure N first type channel information reporting, N is a positive integer greater than 1, one first type channel information reporting is associated to one first type identification;

[1078] The first processor 1802 processes only M of the N first type channel information reports, M being a positive integer less than N.

[1079] In embodiment 18, the determination of the M first type channel information reports depends on the first type identifier associated with at least one of the N first type channel information reports.

[1080] As an embodiment, the N first type channel information reports start occupying processing units at the same symbol; or, the calculation or generation for the N first type channel information reports starts at the same symbol.

[1081] As an embodiment, the determination of the M first type channel information reports depends on the first type identifier associated with a first reference report, the first reference report being one of the N first type channel information reports.

[1082] As an embodiment, the M first type channel information reports include at least one of the N first type channel information reports satisfying a first condition; the first condition includes that the first type identifier associated therewith is the same as the first type identifier associated with a first reference report, the first reference report being one of the N first type channel information reports.

[1083] As an embodiment, the M first type channel information reports further include at least one of the N first type channel information reports satisfying a second condition; the second condition includes that the first type identifier associated therewith is the same as the first type identifier associated with a second reference report, the second reference report being one of the N first type channel information reports, and the first type identifier associated with the second reference report being different from the first type identifier associated with the first reference report.

[1084] As an embodiment, the M first type channel information reports satisfy a third condition, the third condition including that the total number of processing units occupied by the M first type channel information reports is less than or equal to a first reference positive integer.

[1085] As an embodiment, the M first type channel information reports are respectively associated with M first type identifiers; the M first type channel information reports satisfy a fourth condition, the fourth condition including that the number of different first type identifiers among the M first type identifiers is less than or equal to a first maximum integer.

[1086] As an embodiment, the generation manner of the first type channel information report is based on training or based on AI.

[1087] As an embodiment, the configuration information of the first type of channel information reporting indicates a first type of resource set, the first type of resource set including at least one RS resource used for measurement of the first type of channel information reporting; the first type of channel information reporting indicates at least one resource in a second type of resource set, the second type of resource set including resources not belonging to the first type of resource set.

[1088] As an embodiment, the first type of channel information reporting being associated with a first type of identifier includes: configuration information of the first type of channel information reporting indicating a first type of identifier, the first type of identifier to which the first type of channel information reporting is associated being the first type of identifier indicated by the configuration information of the first type of channel information reporting.

[1089] As an embodiment, the first type of channel information reporting being associated with a first type of identifier includes: a first operation being performed by the first node or a target receiver of the first information set, the first type of channel information reporting depending on an output of the first operation, the first operation being associated with the first type of identifier.

[1090] As an embodiment, the first type of channel information reporting being associated with a first type of identifier includes: a generation manner of the first type of channel information reporting using an AI model identified by the first type of identifier, or the first type of channel information reporting being generated by an AI entity identified by the first type of identifier, or the first type of channel information reporting being used for an AI function identified by the first type of identifier.

[1091] As an embodiment, the output of the first operation includes first CSI, the first type of channel information reporting carrying the first CSI, the first CSI being used by a sender of the first information set as an input of a second operation to generate second CSI.

[1092] As an embodiment, the first receiver 1801 receives a signal in the first type of resource set.

[1093] As an embodiment, the first receiver 1801 receives a reference signal in the first type of resource set.

[1094] As an embodiment, receiving a signal in the first type of resource set means receiving a wireless signal in the first type of resource set.

[1095] As an embodiment, receiving a signal in the first type of resource set means receiving a reference signal in the first type of resource set.

[1096] As an embodiment, the first operation is training-based or AI-based.

[1097] As one embodiment, the first operation is a deployment.

[1098] As one embodiment, the first operation is obtained by a load.

[1099] As one embodiment, the first receiver receives signals in the second set of sources.

[1100] As one embodiment, the first receiver receives reference signals in the second set of sources, the second set of sources comprising one or more RS resources.

[1101] As one embodiment, the first processor 1802 deploys the first operation.

[1102] Embodiment 19

[1103] Embodiment 19 illustrates a structural block diagram of a processing apparatus in a second node according to an embodiment of the application; as shown in FIG. 19. In FIG. 19, the processing apparatus 1900 in the second node comprises a second processor 1901.

[1104] As one embodiment, the second node is a base station device.

[1105] As one embodiment, the second node is a user equipment.

[1106] As one embodiment, the second node is a relay node device.

[1107] As one embodiment, the second processor 1901 comprises at least one of {antennas 420, receivers / transmitters 418, receive processors 470, transmit processors 416, multi-antenna receive processors 472, multi-antenna transmit processors 471, controllers / processors 475, memories 476} in Embodiment 4.

[1108] The second processor 1901 transmits a first set of information, the first set of information being used to configure N first type channel information reporting, N being a positive integer greater than 1, one first type channel information reporting being associated to one first type identifier; receives at least M first type channel information reporting in the N first type channel information reporting, M being a positive integer smaller than the N;

[1109] As one embodiment, only the M first type channel information reporting in the N first type channel information reporting is processed by a target receiver of the first set of information; the determination of the M first type channel information reporting depends on the first type identifier associated to at least one first type channel information reporting in the N first type channel information reporting.

[1110] As an embodiment, the N first-type channel information reports start occupying processing units on the same symbol; or, start computing or generating for the N first-type channel information reports on the same symbol.

[1111] As an embodiment, the determination of the M first-type channel information reports depends on the first-type identifier associated with a first reference report, which is one of the N first-type channel information reports.

[1112] As an embodiment, the M first-type channel information reports include at least one first-type channel information report of the N first-type channel information reports that satisfies a first condition; the first condition includes that the first-type identifier associated with the first-type channel information report is the same as the first-type identifier associated with a first reference report; the first reference report is one of the N first-type channel information reports.

[1113] As an embodiment, the M first-type channel information reports further include at least one first-type channel information report of the N first-type channel information reports that satisfies a second condition; the second condition includes that the first-type identifier associated with the first-type channel information report is the same as the first-type identifier associated with a second reference report; the second reference report is one of the N first-type channel information reports, and the first-type identifier associated with the second reference report is different from the first-type identifier associated with the first reference report.

[1114] As an embodiment, the M first-type channel information reports satisfy a third condition, and the third condition includes that the total number of processing units occupied by the M first-type channel information reports is less than or equal to a first reference positive integer.

[1115] As an embodiment, the M first-type channel information reports are respectively associated with M first-type identifiers; the M first-type channel information reports satisfy a fourth condition, and the fourth condition includes that the number of different first-type identifiers in the M first-type identifiers is less than or equal to a first maximum integer.

[1116] As an embodiment, the generation manner of the first-type channel information report is based on training or based on AI.

[1117] As an embodiment, the configuration information of the first-type channel information report indicates a first-type resource set, the first-type resource set includes at least one RS resource used for measurement of the first-type channel information report; the first-type channel information report indicates at least one resource in a second-type resource set, and the second-type resource set includes resources that do not belong to the first-type resource set.

[1118] As an embodiment, the one first-type channel information report being associated to one first-type identifier comprises: configuration information of the one first-type channel information report indicating the one first-type identifier, and the one first-type channel information report being associated to the one first-type identifier indicated by the configuration information of the one first-type channel information report.

[1119] As an embodiment, the one first-type channel information report being associated to one first-type identifier comprises: the target receiver of the one first information set performing a first operation, the one first-type channel information report depending on an output of the first operation, and the first operation being associated to the one first-type identifier.

[1120] As an embodiment, the one first-type channel information report being associated to one first-type identifier comprises: a generation manner of the one first-type channel information report using an AI model identified by the one first-type identifier, or the one first-type channel information report being generated by an AI entity identified by the one first-type identifier, or the one first-type channel information report being used for an AI function identified by the one first-type identifier.

[1121] As an embodiment, the second processor 1901 performs a second operation; wherein the output of the first operation comprises a first CSI, the one first-type channel information report carrying the first CSI, and the first CSI being used as an input of the second operation to generate a second CSI.

[1122] As an embodiment, the second processor 1901 sends a signal in the one first-type resource set.

[1123] As an embodiment, the second processor 1901 sends a reference signal in the one first-type resource set.

[1124] As an embodiment, the sending of the signal in the one first-type resource set refers to sending a wireless signal in the one first-type resource set.

[1125] As an embodiment, the sending of the signal in the one first-type resource set refers to sending a reference signal in the one first-type resource set.

[1126] As an embodiment, the first operation is based on training or based on AI.

[1127] As an embodiment, the first operation is deployment-required.

[1128] As an embodiment, the first operation is obtained by loading.

[1129] As an embodiment, the second processor 1901 transmits a signal in the second set of resources.

[1130] As an embodiment, the second processor 1901 transmits a reference signal in the second set of resources, the second set of resources comprising one or more RS resources.

[1131] As an embodiment, the second processor 1901 does not transmit a signal in the first set of resources.

[1132] As an embodiment, the second processor 1901 does not transmit a reference signal in the second set of resources.

[1133] As an embodiment, the second processor 1901 deploys the second operation.

[1134] As an embodiment, the second operation is training-based or AI-based.

[1135] As an embodiment, the second operation is obtained by loading.

[1136] Embodiment 20

[1137] Embodiment 20 illustrates a diagram of first CSI and first type of channel information reporting according to an embodiment of the present application; as shown in FIG. 20. In embodiment 20, the output of the first operation comprises first CSI, which is used to generate the first type of channel information reporting.

[1138] As an embodiment, the benefits of the above method include that the performance of CSI reporting is improved by taking advantage of the first operation, including more accurate reporting and / or lower overhead.

[1139] As an embodiment, the first type of channel information reporting comprises the first CSI.

[1140] As an embodiment, the first CSI is used to generate the first type of channel information reporting after post-processing.

[1141] As an embodiment, the first type of channel information reporting comprises the first CSI after post-processing.

[1142] As an embodiment, the first type of channel information reporting carries the first CSI after post-processing.

[1143] As an embodiment, the first CSI is used to generate the first type of channel information reporting after truncation and / or quantization.

[1144] As one embodiment, the first type of channel information reporting comprises the first CSI after truncation and / or quantization.

[1145] As one embodiment, the first type of channel information reporting carries the first CSI after truncation and / or quantization.

[1146] As one embodiment, the first CSI comprises one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index, and TDCP.

[1147] As one embodiment, the first CSI comprises one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index, TDCP, predicted channel information, predicted beam information, or confidence information.

[1148] As one embodiment, the first CSI comprises a channel matrix.

[1149] As one embodiment, the first CSI comprises an eigenvector.

[1150] As one embodiment, the first CSI comprises an eigenvector and an eigenvalue.

[1151] As one embodiment, the first CSI comprises precoding information.

[1152] As one embodiment, the first CSI comprises non-codebook-based precoding information.

[1153] As one embodiment, the first CSI is used to determine at least one precoding matrix.

[1154] As one embodiment, the first CSI indicates at least one precoding matrix.

[1155] As one embodiment, the precoding matrix is spatial-frequency domain.

[1156] As one embodiment, the precoding matrix is angular-delay domain projection.

[1157] As one embodiment, the first CSI comprises information of relative phase, amplitude and / or coefficients among multiple antenna ports.

[1158] As one embodiment, the first CSI comprises compressed CSI.

[1159] As an embodiment, the first CSI comprises predicted / estimated CSI.

[1160] Those skilled in the art can understand that all or part of the steps in the above method can be instructed by a program to relevant hardware, and the program can be stored in a computer readable storage medium, such as a read-only memory, a hard disk, or an optical disk. Alternatively, all or part of the steps of the above embodiments can also be implemented using one or more integrated circuits. Correspondingly, each module unit in the above 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.

[1161] Those skilled in the art will understand that the present 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 invention 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

A first node for wireless communication, characterized in that Comprise: a first receiver, receiving a first information set, the first information set being used for configuring N first type channel information reports, N being a positive integer greater than 1, one first type channel information report being associated to one first type identifier; a first processor, processing only M first type channel information reports in the N first type channel information reports, M being a positive integer smaller than the N; wherein the determination of the M first type channel information reports depends on the first type identifier associated to at least one first type channel information report in the N first type channel information reports. The first node according to claim 1, characterized in that The determination of the M first type channel information reports depends on the first type identifier associated to a first reference report, the first reference report being one of the N first type channel information reports. The first node according to claim 1 or 2, characterized in that, The M first type channel information reports comprise at least one first type channel information report in the N first type channel information reports satisfying a first condition; the first condition comprises: the first type identifier associated to the at least one first type channel information report being the same as the first type identifier associated to a first reference report, the first reference report being one of the N first type channel information reports. The first node according to claim 3, characterized in that The M first type channel information reports further comprise at least one first type channel information report in the N first type channel information reports satisfying a second condition; the second condition comprises: the first type identifier associated to the at least one first type channel information report being the same as the first type identifier associated to a second reference report, the second reference report being one of the N first type channel information reports, the first type identifier associated to the second reference report being different from the first type identifier associated to the first reference report. The first node according to claim 3 or 4, characterized in that, The M first type channel information reports satisfy a third condition, the third condition comprising a total number of processing units occupied by the M first type channel information reports being less than or equal to a first reference positive integer. The first node according to any of claims 1 to 5, characterized in that The M first type channel information reports are respectively associated to M first type identifiers; the M first type channel information reports satisfy a fourth condition, the fourth condition comprising a number of different first type identifiers in the M first type identifiers being less than or equal to a first maximum integer. The first node according to any of claims 1 to 6, characterized in that The one first type channel information report being associated to one first type identifier comprises: configuration information of the first type channel information report indicating one first type identifier, the first type identifier associated to the first type channel information report being the first type identifier indicated by the configuration information of the first type channel information report. The first node according to any of claims 1 to 6, characterized in that The one first type channel information report being associated to one first type identifier comprises: a first node or a target receiver of the first information set performing a first operation, the first type channel information report depending on an output of the first operation, the first operation being associated to the first type identifier. The first node according to any of claims 1 to 6, characterized in that The one first-type channel information report is associated with one first-type identifier, and the one first-type channel information report is generated by using an AI model identified by the first-type identifier, or the one first-type channel information report is generated by an AI entity identified by the first-type identifier, or the one first-type channel information report is used for an AI function identified by the first-type identifier. The first node according to any of claims 1 to 9, characterized by The output of the first operation includes first CSI, the first-type channel information report carries the first CSI, and the first CSI is used by a sender of the first information set as input of a second operation to generate second CSI. The first node according to any of claims 1 to 10, characterized by The first operation is deployed. The N first-type channel information reports start to occupy processing units at the same symbol, or start to calculate or generate the N first-type channel information reports at the same symbol. The first node according to any of claims 1 to 11, characterized by The first-type channel information report is generated based on training or based on AI. The first node according to any of claims 1 to 12, characterized by The configuration information of the first-type channel information report indicates a first-type resource set, the first-type resource set includes at least one RS resource used for measurement of the first-type channel information report, and the first-type channel information report indicates at least one resource in a second-type resource set, the second-type resource set includes resources not belonging to the first-type resource set. The first node according to any of claims 1 to 13, characterized by The first operation is deployed. A second node for wireless communication, the second node comprising: The second processor sends a first information set, the first information set is used to configure N first-type channel information reports, N is a positive integer greater than 1, one first-type channel information report is associated with one first-type identifier, and at least M first-type channel information reports in the N first-type channel information reports are received, M is a positive integer less than N. The target receiver of the first information set processes only the M first-type channel information reports in the N first-type channel information reports. The determination of the M first-type channel information reports depends on the first-type identifier associated with at least one first-type channel information report in the N first-type channel information reports. The determination of the M first-type channel information reports depends on the first-type identifier associated with a first reference report, and the first reference report is one of the N first-type channel information reports. The second node according to claim 15, characterized by The M first-type channel information reports include at least one first-type channel information report in the N first-type channel information reports that satisfies a first condition, and the first condition includes that the first-type identifier associated with the at least one first-type channel information report is the same as the first-type identifier associated with a first reference report, and the first reference report is one of the N first-type channel information reports. The second node according to claim 15 or 16, characterized in that The M first-type channel information reports further include at least one first-type channel information report in the N first-type channel information reports that satisfies a second condition, and the second condition includes that the first-type identifier associated with the at least one first-type channel information report is the same as the first-type identifier associated with a second reference report, and the second reference report is one of the N first-type channel information reports, and the first-type identifier associated with the second reference report is different from the first-type identifier associated with the first reference report. The second node according to claim 17, characterized by ​ The second node according to claim 17 or 18, characterized in that The M first-type channel information reports satisfy a third condition, and the third condition includes that a total number of processing units occupied by the M first-type channel information reports is less than or equal to a first reference positive integer. The second node according to any of claims 15 to 19, characterized by The M first-type channel information reports are respectively associated with M first-type identifiers; and the M first-type channel information reports satisfy a fourth condition, and the fourth condition includes that a number of different first-type identifiers in the M first-type identifiers is less than or equal to a first maximum integer. The second node according to any of claims 15 to 20, characterized by The one first-type channel information report being associated with the one first-type identifier includes that configuration information of the first-type channel information report indicates the one first-type identifier, and the first-type identifier associated with the first-type channel information report is the one first-type identifier indicated by the configuration information of the first-type channel information report. The second node according to any of claims 15 to 21, characterized by The one first-type channel information report being associated with the one first-type identifier includes that a first operation is performed by the target receiver of the first information set, the first-type channel information report depends on an output of the first operation, and the first operation is associated with the one first-type identifier. The second node according to any of claims 15 to 21, characterized by The one first-type channel information report being associated with the one first-type identifier includes that a generation manner of the first-type channel information report uses an AI model identified by the one first-type identifier, or the first-type channel information report is generated by an AI entity identified by the one first-type identifier, or the first-type channel information report is used for an AI function identified by the one first-type identifier. The second node according to any of claims 15 to 23, characterized by The method includes: performing a second operation; wherein the output of the first operation includes first CSI, the first-type channel information report carries the first CSI, and the first CSI is used as an input of the second operation to generate second CSI. The second node of claim 24, characterized in that The method includes: deploying the second operation. The second node according to any of claims 15 to 25, characterized by The N first-type channel information reports start to occupy processing units at the same symbol, or start to calculate or generate for the N first-type channel information reports at the same symbol. The second node according to any of claims 15 to 26, characterized by The generation manner of the first-type channel information report is based on training or based on AI. The second node according to any of claims 15 to 27, characterized by Configuration information of the first-type channel information report indicates a first-type resource set, the first-type resource set includes at least one RS resource used for measurement of the first-type channel information report, and the first-type channel information report indicates at least one resource in a second-type resource set, the second-type resource set includes resources not belonging to the first-type resource set. A method in a first node used for wireless communication, characterized by The method includes: receiving a first information set, the first information set being used to configure N first-type channel information reports, N being a positive integer greater than 1, and one first-type channel information report being associated with one first-type identifier; processing only M first-type channel information reports in the N first-type channel information reports, M being a positive integer less than N; wherein determination of the M first-type channel information reports depends on the first-type identifier associated with at least one first-type channel information report in the N first-type channel information reports. The method of claim 29, wherein The determination of the M first-type channel information reports depends on the first-type identifier associated with a first reference report, the first reference report being one of the N first-type channel information reports. The method according to claim 29 or 30, characterized in that The M first-type channel information reports include at least one first-type channel information report of the N first-type channel information reports that satisfies a first condition; the first condition includes that the first-type identifier associated with the at least one first-type channel information report is the same as the first-type identifier associated with a first reference report, the first reference report being one of the N first-type channel information reports. The method of claim 31, wherein The M first-type channel information reports further include at least one first-type channel information report of the N first-type channel information reports that satisfies a second condition; the second condition includes that the first-type identifier associated with the at least one first-type channel information report is the same as the first-type identifier associated with a second reference report, the second reference report being one of the N first-type channel information reports, and the first-type identifier associated with the second reference report being different from the first-type identifier associated with the first reference report. The method according to claim 31 or 32, characterized in that The M first-type channel information reports satisfy a third condition, and the third condition includes that a total number of processing units occupied by the M first-type channel information reports is less than or equal to a first reference positive integer. The method according to any one of claims 29 to 33, characterized in that The M first-type channel information reports are respectively associated with M first-type identifiers; and the M first-type channel information reports satisfy a fourth condition, and the fourth condition includes that a number of different first-type identifiers in the M first-type identifiers is less than or equal to a first maximum integer. The method according to any one of claims 29 to 34, characterized in that The one first-type channel information report being associated with one first-type identifier includes that configuration information of the first-type channel information report indicates one first-type identifier, and the first-type identifier associated with the first-type channel information report is the first-type identifier indicated by the configuration information of the first-type channel information report. The method according to any one of claims 29 to 34, characterized in that The one first-type channel information report being associated with one first-type identifier includes that a target receiver of the first node or the first information set performs a first operation, and the first-type channel information report depends on an output of the first operation, and the first operation is associated with the first-type identifier. The method according to any one of claims 29 to 34, characterized in that The one first-type channel information report being associated with one first-type identifier includes that a generation manner of the first-type channel information report uses an AI model identified by the first-type identifier, or the first-type channel information report is generated by an AI entity identified by the first-type identifier, or the first-type channel information report is used for an AI function identified by the first-type identifier. The method according to any one of claims 29 to 37, characterized in that The output of the first operation includes first CSI, the first-type channel information report carries the first CSI, and the first CSI is used by a sender of the first information set as an input of a second operation to generate second CSI. The method according to any one of claims 29 to 38, characterized in that The method further includes: Deploying the first operation. The method according to any one of claims 29 to 39, characterized in that The N first-type channel information reports start to occupy processing units at the same symbol; or start to calculate or generate for the N first-type channel information reports at the same symbol. The method according to any one of claims 29 to 40, characterized in that The generation mode of the first type of channel information reporting is based on training or AI. The method according to any one of claims 29 to 41, characterized in that The configuration information of the first type of channel information reporting indicates a first type of resource set, the first type of resource set including at least one RS resource for measurement of the first type of channel information reporting; the first type of channel information reporting indicates at least one resource in a second type of resource set, the second type of resource set including resources not belonging to the first type of resource set. A method in a second node used for wireless communication, characterized by Comprise: sending a first information set, the first information set being used to configure N first type of channel information reporting, N being a positive integer greater than 1, one first type of channel information reporting being associated with one first type of identifier; receiving at least M first type of channel information reporting in the N first type of channel information reporting, M being a positive integer less than N; wherein the target receiver of the first information set processes only the M first type of channel information reporting in the N first type of channel information reporting; The determination of the M first type of channel information reporting depends on the first type of identifier associated with at least one first type of channel information reporting in the N first type of channel information reporting. The method of claim 43, wherein The determination of the M first type of channel information reporting depends on the first type of identifier associated with the first reference reporting, which is one of the N first type of channel information reporting. The method according to claim 43 or 44, characterized in that The M first type of channel information reporting includes at least one first type of channel information reporting in the N first type of channel information reporting that satisfies a first condition; the first condition includes: the first type of identifier associated and the first type of identifier associated with the first reference reporting are the same; the first reference reporting is one of the N first type of channel information reporting. The method of claim 45, wherein The M first type of channel information reporting also includes at least one first type of channel information reporting in the N first type of channel information reporting that satisfies a second condition; the second condition includes: the first type of identifier associated and the first type of identifier associated with the second reference reporting are the same; the second reference reporting is one of the N first type of channel information reporting, and the first type of identifier associated with the second reference reporting is different from the first type of identifier associated with the first reference reporting. The method according to claim 45 or 46, characterized in that The M first type of channel information reporting satisfies a third condition, the third condition including that the total number of processing units occupied by the M first type of channel information reporting is less than or equal to a first reference positive integer. The method according to any one of claims 43 to 47, characterized in that The M first type of channel information reporting respectively associates with M first type of identifier; the M first type of channel information reporting satisfies a fourth condition, the fourth condition including that the number of different first type of identifier in the M first type of identifier is less than or equal to a first maximum integer. The method according to any one of claims 43 to 48, characterized in that The one first type of channel information reporting associated with one first type of identifier includes: the configuration information of the first type of channel information reporting indicates one first type of identifier, and the first type of identifier associated with the first type of channel information reporting is the first type of identifier indicated by the configuration information of the first type of channel information reporting. The method according to any one of claims 43 to 48, characterized in that The one first-type channel information report is associated with a first-type identifier, including: a first operation is performed by the target receiver of the first information set, the first-type channel information report depends on an output of the first operation, and the first operation is associated with the first-type identifier. The method according to any one of claims 43 to 48, characterized in that The one first-type channel information report is associated with a first-type identifier, including: a generation manner of the first-type channel information report uses an AI model identified by the first-type identifier, or the first-type channel information report is generated by an AI entity identified by the first-type identifier, or the first-type channel information report is used for an AI function identified by the first-type identifier. The method according to any one of claims 43 to 51, characterized in that Including: The second operation is performed; The output of the first operation includes first CSI, the first-type channel information report carries the first CSI, and the first CSI is used as input of the second operation to generate second CSI. The method of claim 52, wherein Including: The second operation is deployed. The method according to any one of claims 43 to 53, characterized in that The N first-type channel information reports start to occupy processing units in the same symbol, or start to calculate or generate the N first-type channel information reports in the same symbol. The method according to any one of claims 43 to 54, characterized in that The generation manner of the first-type channel information report is based on training or AI. The method according to any one of claims 43 to 55, characterized in that Configuration information of the first-type channel information report indicates a first-type resource set, the first-type resource set includes at least one RS resource used for measurement of the first-type channel information report, and the first-type channel information report indicates at least one resource in a second-type resource set, the second-type resource set includes resources not belonging to the first-type resource set.

Images