A method and apparatus for reporting information in a node used for wireless communication

Abstract

This application discloses a channel information reporting method and apparatus for use in nodes for wireless communication. A first node receives a first information set, which is used to configure N first-type channel information reports, where N is a positive integer greater than 1, and each first-type channel information report is associated with a first-type identifier. The node processes only M first-type channel information reports from the N first-type channel information reports, where M is a positive integer less than N. 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.

Description

Technical Field

[0001] This application relates to transmission methods and apparatus in wireless communication systems, and more particularly to schemes and apparatus for channel information reporting in wireless communication systems. Background Technology

[0002] In traditional wireless communication, the UE (User Equipment) obtains channel information by measuring downlink reference signals. This channel information includes, but is not limited to, one or more of the following: 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 increasing demands on system performance, traditional measurement and reporting methods incur significant redundant overhead. Therefore, in NR R (release) 18, research on AI (Artificial Intelligence) / ML (Machine Learning) technologies was initiated to explore their impact on system performance and system design. Compared to traditional processing methods, AI / ML offers advantages such as training-based operation and deployment requirements. Summary of the Invention

[0004] The applicant discovered through research that when AI / ML functionality is introduced, existing channel information-related measurement mechanisms, reporting mechanisms, and related configuration signaling may not be able to meet the needs of AI / ML. To address these issues, this application discloses a solution. It should be noted that while many embodiments of this application are specifically for AI / ML, this application is also applicable to other solutions, such as traditional channel information reporting schemes. Furthermore, adopting a unified solution for different scenarios (including but not limited to AI / ML-based schemes and traditional information reporting schemes) helps reduce hardware complexity and cost. Where there is no conflict, the embodiments and features in the embodiments of the first node of this application can be applied to the second node, and vice versa. Where there is no conflict, the embodiments and features in the embodiments of this application can be arbitrarily combined with each other.

[0005] As an example, the interpretation of terms in this application is based on the definitions in the 3GPP specification protocol TS38 series.

[0006] As an example, the interpretation of the terms in this application is based on the definitions in the 3GPP specification protocol TS28 series.

[0007] This application discloses a method used in a first node of wireless communication, characterized by comprising:

[0008] Receive a first information set, which is used to configure N first-type channel information reports, where N is a positive integer greater than 1, and one first-type channel information report is associated with a first-type identifier;

[0009] Process only M of the N first-type channel information reports, where M is a positive integer less than N;

[0010] 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.

[0011] As an example, the problem this application aims to solve includes: how to determine the channel information to be reported.

[0012] As an example, in the above method, the channel information to be processed is selected and reported in relation to the associated first-class identifier.

[0013] As an example, the advantages of the above method include ensuring consistent understanding of channel information processing between the transmitting and receiving ends.

[0014] As an example, the advantages of the above method include: better adaptability to various application scenarios or terminals, and good flexibility and adaptability.

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

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

[0017] The first node according to claim 1 is characterized in that the N first-type channel information reports begin to occupy processing units on the same symbol; or, the calculation or generation of the N first-type channel information reports begins on the same symbol.

[0018] According to one aspect of this application, the determination of the M first-type channel information reports depends on the first-type identifier associated with the first reference report, wherein the first reference report is one of the N first-type channel information reports.

[0019] As an example, the advantages of the above method include simplified design, better adaptability to various application scenarios, and good flexibility.

[0020] According to one aspect of this application, the M first-type channel information reports include at least one first-type channel information report among the N first-type channel information reports that satisfies a first condition; the first condition includes: the associated first-type identifier and the first-type identifier associated with the first reference report are the same; the first reference report is one of the N first-type channel information reports.

[0021] As an example, the advantages of the above method include simplified design.

[0022] As an example, the advantages of the above method include better adaptability to various application scenarios and good flexibility.

[0023] According to one aspect of this application, the M first-type channel information reports further include at least one first-type channel information report among the N first-type channel information reports that satisfies a second condition; the second condition includes: the associated first-type identifier and the first-type identifier associated with the second reference report are the same; 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.

[0024] As an example, the advantages of the above method include simplified design.

[0025] As an example, the advantages of the above method include better adaptability to various application scenarios and good flexibility.

[0026] As an example, the advantages of the above method include better adaptability to various processing capabilities.

[0027] According to one aspect of this application, 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.

[0028] As an example, the advantages of the above method include better adaptability to various processing capabilities.

[0029] As an example, the advantages of the above method include better adaptability to various application scenarios and good flexibility.

[0030] According to one aspect of this 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, 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.

[0031] As an example, the advantages of the above method include simplified design.

[0032] As an example, the advantages of the above method include better adaptability to various application scenarios and good flexibility.

[0033] As an example, the advantages of the above method include better adaptability to various processing capabilities.

[0034] As an example, the advantages of the above method include better adaptability to various different terminal capabilities.

[0035] According to one aspect of this application, the method for generating the first type of channel information reporting is based on training or AI.

[0036] As an example, the advantages of the above method include: better adaptability to various application scenarios or terminals, and good flexibility and adaptability.

[0037] As an example, the advantages of the above method include improved accuracy and real-time performance of channel information reporting.

[0038] According to one aspect of this application, the configuration information reported by the first type of channel information 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 that do not belong to the first type of resource set.

[0039] As an example, the advantages of the above method include: the AI-based generation method can reduce the overhead required to obtain channel information.

[0040] As an example, the advantages of the above method include: the AI-based generation method can reduce the measurement resources required to obtain channel information.

[0041] According to one aspect of this application, the first type of channel information reporting associated with a first type of identifier includes: the configuration information of the first type of channel information reporting indicates a 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.

[0042] As an example, the advantages of the above method include: simplified design, and flexible configuration of the associated first-type identifier for a first-type channel information report.

[0043] According to one aspect of this application, the first type of channel information reporting associated with a first type of identifier includes: the first node or the target receiver of the first information set performing a first operation, the first type of channel information reporting depending on the output of the first operation, and the first operation being associated with the first type of identifier.

[0044] According to one aspect of this application, the first type of channel information reporting associated with a first type of identifier includes: the generation method of 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 example, the AI ​​(Artificial Intelligence) includes ML (Machine Learning).

[0046] As one example, the AI ​​includes ML (Machine Learning).

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

[0048] According to one aspect of this application, it is characterized by comprising:

[0049] Deploy the first operation.

[0050] As an example, the advantages of the above method include that it provides sufficient freedom for the first node, adapting to various different scenarios and terminals, and has adaptability and flexibility.

[0051] As an example, the advantages of the above method include: training for the first operation can be performed outside the first node, reducing the processing power requirements and power consumption of the first node.

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

[0053] Send a first information set, which is used to configure N first-type channel information reports, where N is a positive integer greater than 1, and one first-type channel information report is associated with a first-type identifier; receive at least M first-type channel information reports from the N first-type channel information reports, where M is a positive integer less than N;

[0054] Wherein, the target receiver of the first information set processes only M of 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 of the N first-type channel information reports.

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

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

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

[0058] According to one aspect of this application, the N first-type channel information reports begin to occupy processing units on the same symbol; or, the calculation or generation of the N first-type channel information reports begins on the same symbol.

[0059] According to one aspect of this application, the determination of the M first-type channel information reports depends on the first-type identifier associated with the first reference report, wherein the first reference report is one of the N first-type channel information reports.

[0060] According to one aspect of this application, the M first-type channel information reports include at least one first-type channel information report among the N first-type channel information reports that satisfies a first condition; the first condition includes: the associated first-type identifier and the first-type identifier associated with the first reference report are the same; the first reference report is one of the N first-type channel information reports.

[0061] According to one aspect of this application, the M first-type channel information reports further include at least one first-type channel information report among the N first-type channel information reports that satisfies a second condition; the second condition includes: the associated first-type identifier and the first-type identifier associated with the second reference report are the same; 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.

[0062] According to one aspect of this application, 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.

[0063] According to one aspect of this 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, 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.

[0064] According to one aspect of this application, the method for generating the first type of channel information reporting is based on training or AI.

[0065] According to one aspect of this application, the configuration information reported by the first type of channel information 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 that do not belong to the first type of resource set.

[0066] According to one aspect of this application, the first type of channel information reporting associated with a first type of identifier includes: the configuration information of the first type of channel information reporting indicates a 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.

[0067] According to one aspect of this application, the first type of channel information reporting associated with a first type of identifier includes: the target receiver of the first information set performing a first operation, the first type of channel information reporting depending on the output of the first operation, and the first operation being associated with the first type of identifier.

[0068] According to one aspect of this application, the first type of channel information reporting associated with a first type of identifier includes: the generation method of 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.

[0069] According to one aspect of this application, it is characterized by comprising:

[0070] Perform the second operation;

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

[0072] According to one aspect of this application, it is characterized by comprising:

[0073] Deploy the second operation.

[0074] As an example, the advantages of the above method include that it provides sufficient freedom for the second node, adapting to various different scenarios and terminals, and possessing adaptability and flexibility.

[0075] As an example, the advantages of the above method include: training for the second operation can be performed outside the second node, reducing the processing power requirements and power consumption of the second node.

[0076] As one example, the second operation is based on training or AI.

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

[0078] This application discloses a first node used for wireless communication, characterized in that it comprises:

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

[0080] The first processor processes only M of the N first-type channel information reports, where M is a positive integer less than N.

[0081] 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.

[0082] This application discloses a second node used for wireless communication, characterized in that it comprises:

[0083] The second processor sends a first information set, which is used to configure N first-type channel information reports, where N is a positive integer greater than 1, and one first-type channel information report is associated with a first-type identifier; and receives at least M first-type channel information reports from the N first-type channel information reports, where M is a positive integer less than N.

[0084] Wherein, the target receiver of the first information set processes only M of 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 of the N first-type channel information reports.

[0085] As an example, compared with conventional solutions, this application has the following advantages:

[0086] This ensures consistency in the understanding of channel information processing between the transmitting and receiving ends;

[0087] It better adapts to various application scenarios, improving flexibility and adaptability;

[0088] It is better adapted to various different terminals and has good flexibility;

[0089] Higher accuracy and real-time performance of channel information, resulting in enhanced overall system performance;

[0090] Lower air interface overhead;

[0091] More flexible and diverse channel generation methods;

[0092] Better flexibility and adaptability;

[0093] Enhanced reliability and robustness. Attached Figure Description

[0094] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0095] Figure 1 A flowchart illustrating a first information set and a first type of channel information reporting according to an embodiment of this application is shown;

[0096] Figure 2 A schematic diagram of a network architecture according to an embodiment of this application is shown;

[0097] Figure 3 A schematic diagram of an embodiment of a wireless protocol architecture for the user plane and control plane according to an embodiment of this application is shown;

[0098] Figure 4 A schematic diagram of a first communication device and a second communication device according to an embodiment of this application is shown;

[0099] Figure 5 The transmission between a first node and a second node according to one embodiment of this application is illustrated;

[0100] Figures 6A-6BSchematic diagrams of a first type of channel information reporting according to an embodiment of this application are shown respectively;

[0101] Figure 7 A schematic diagram of a first type of channel information reporting and a second CSI according to an embodiment of this application is shown;

[0102] Figures 8A-8B Schematic diagrams of a first operation according to an embodiment of this application are shown respectively;

[0103] Figure 9 A schematic diagram illustrating the deployment of a first operation on a first node according to an embodiment of this application is shown;

[0104] Figures 10A-10C The diagrams illustrating the association of a first-type channel information report with a first-type identifier according to an embodiment of this application are shown respectively.

[0105] Figure 11 A schematic diagram illustrating the reporting of N types of first-class channel information according to an embodiment of this application is shown;

[0106] Figure 12A-12B Schematic diagrams of M types of first-class channel information reporting according to an embodiment of this application are shown respectively;

[0107] Figures 13A-13B Schematic diagrams of M types of first-class channel information reporting according to another embodiment of this application are shown respectively;

[0108] Figure 14 A schematic diagram illustrating the relationship between M first-type channel information reports and a third condition according to an embodiment of this application is shown;

[0109] Figure 15 A schematic diagram illustrating the relationship between M first-type channel information reports and a fourth condition according to an embodiment of this application is shown;

[0110] Figure 16 A schematic diagram of an artificial intelligence or machine learning-based processing system according to an embodiment of this application is shown;

[0111] Figure 17 A schematic diagram based on artificial intelligence or machine learning according to an embodiment of this application is shown;

[0112] Figure 18 A structural block diagram of a processing apparatus for a first node according to an embodiment of this application is shown;

[0113] Figure 19 A structural block diagram of a processing apparatus for a second node according to an embodiment of this application is shown;

[0114] Figure 20 A schematic diagram of the first CSI and first type of channel information reporting according to an embodiment of this application is shown. Detailed Implementation

[0115] The technical solutions of this application will be further described in detail below with reference to the accompanying drawings. It should be noted that, unless otherwise specified, the embodiments and features in the embodiments of this application can be arbitrarily combined with each other. Considering performance, flexibility, complexity, overhead, and compatibility, those skilled in the art are motivated to flexibly combine the embodiments in different drawings without conflict, such as, but not limited to, those in the accompanying drawings. Figure 1 Examples and appendices Figure 5 -Appendix Figure 20 The embodiments in the appendix Figure 5 The embodiments and figures 6-attached Figure 20 Examples, etc.

[0116] Example 1

[0117] Example 1 illustrates a flowchart of a first information set and a first type of channel information reporting according to an embodiment of this application, as shown in the attached diagram. Figure 1 As shown. In the appendix Figure 1 In the 100 shown, each box represents a step. In particular, the order of the steps in the boxes does not represent a specific temporal relationship between the steps.

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

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

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

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

[0122] As one embodiment, the first information set includes multiple RRC IEs.

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

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

[0125] As one embodiment, the first information set includes one or more IE CSI-ReportConfigs.

[0126] As one embodiment, the first information set includes some or all of the domains in one or more IE CSI-ReportConfig.

[0127] As one embodiment, the first information set includes N IECSI-ReportConfigs, and the N IECSI-ReportConfigs are respectively used to configure the reporting of N first-type channel information.

[0128] As one embodiment, the first information set includes some or all of the domains in IE ServingCellConfig.

[0129] As one embodiment, the first information set includes some or all of the domains in IE CSI-MeasConfig IE.

[0130] As one embodiment, the first information set includes some or all of the domains in IE ServingCellConfigCommon IE.

[0131] As one embodiment, the first information set includes some or all of the domains in IE ServingCellConfig.

[0132] As an example, the first information set includes the configuration information of each of the N first-type channel information reports.

[0133] As one embodiment, the first information set includes N information blocks, which are respectively used to configure the reporting of N types of first-class channel information.

[0134] As one embodiment, the first information set includes N information blocks, and each of the N information blocks includes configuration information reported by N first-type channel information.

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

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

[0137] As an example, the N information blocks each include N RRC IEs.

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

[0139] As an example, the N information blocks each include N IE CSI-ReportConfig blocks.

[0140] As an example, the configuration information reported in a first-class channel information report includes some or all of the fields in at least one RRC IE.

[0141] As an example, the configuration information reported in a first-type channel information report includes some or all fields in an RRC IE.

[0142] As an example, the configuration information for a first-class channel information report includes some or all fields in an IE CSI-ReportConfig.

[0143] As an example, the configuration information for a first-type channel information report indicates at least one of the following: RS resources for channel measurement, RS resources for interference channel measurement, reporting type, and reporting quantity.

[0144] As an example, configuration information for a first type of channel information reporting indicates at least one of a first type of resource set, a reporting type, and a reporting quantity; the first type of resource set includes at least one RS resource for measurement used in the first type of channel information reporting.

[0145] As an example, the configuration information for a first type of channel information reporting indicates at least one of a first type of resource set, a second type of resource set, a reporting type, and a reporting quantity; the first type of resource set includes at least one RS resource for measurement used in the first type of channel information reporting.

[0146] As an example, the measurement used for reporting the first type of channel information refers to: channel measurement used for reporting the first type of channel information.

[0147] As an example, the measurement used for reporting the first type of channel information refers to: channel measurement and interference measurement used for reporting the first type of channel information.

[0148] As a sub-implementation of the above embodiments, the reporting type indicates at least periodic reporting, semi-persistent reporting, non-periodic reporting, or event-triggered reporting.

[0149] As a sub-example of the above embodiments, the reporting type indicates at least periodic reporting, semi-persistent reporting, or non-periodic reporting.

[0150] As a sub-implementation of the above embodiments, the reported quantity includes at least one of resource indication and RSRP (reference signal received power).

[0151] As a sub-implementation of the above embodiments, the reported quantity includes at least one of the following: resource indicator, RSRP, CQI (Channel quality indicator), PMI (Precoding Matrix Indicator), CRI (CSI-RS Resource Indicator), SS / PBCH Block Resource indicator (SSBRI), Layer Indicator (LI), RI (Rank Indicator), or SINR (signal-to-noise and interference ratio).

[0152] As a sub-implementation of the above embodiments, the reported quantity includes at least one of CQI (Channel Quality Indicator), PMI (Precoding Matrix Indicator), CRI (CSI-RS Resource Indicator), SS / PBCH Block Resource Indicator (SSBRI), Layer Indicator (LI), RI (Rank Indicator), RSRP, or SINR.

[0153] As an example, the resource indication in this application is used to indicate beam or RS resources.

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

[0155] As an example, the resource indicator in this application is a beam indicator, a CRI (CSI-RS Resource Indicator, Channel State Information Reference Signal Resource Indicator), or an SS / PBCH Block Resource Indicator (SSBRI).

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

[0157] As an example, the event-triggered reporting in this application includes UE-initiated reporting.

[0158] As an example, a semi-persistent Type 1 channel information reporting is activated by MAC CE.

[0159] As an example, an aperiodic Type I channel information report is triggered by DCI.

[0160] As an example, the first type of channel information reporting triggered by an event is triggered when a certain event occurs.

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

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

[0163] As an example, the first type of channel information reporting includes at least one resource indication, wherein one of the resource indications in the first type of channel information reporting is used to indicate beam or RS resources.

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

[0165] As an example, the first type of channel information reporting includes at least one resource indicator; one of the resource indicators in the first type of channel information reporting is used to indicate a beam, or one of the resource indicators in the first type of channel information reporting is a CRI (CSI-RS Resource Indicator, Channel State Information Reference Signal Resource Indicator) or an SS / PBCH Block Resource Indicator (SSBRI).

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

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

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

[0169] As an example, the first type of channel information reporting includes at least one of the channel's feature values ​​or feature vectors.

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

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

[0172] As an example, the first type of channel information reporting includes confidence information.

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

[0174] As an example, the first type of channel information reporting includes reporting amounts that do not belong to 3GPP Rel-18 and earlier versions.

[0175] As an example, the first type of channel information reporting includes reporting quantities that are not defined in the 5G standard.

[0176] As an example, the first type of channel information reporting includes the reporting amount defined in the 6G standard.

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

[0178] As an example, the first type of channel information reporting includes CSI based on artificial intelligence or machine learning.

[0179] As an example, the first type of channel information reporting includes CSI generated based on a neural network.

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

[0181] As one embodiment, the configuration information reported by the first type of channel information indicates a first type of resource set, the first type of resource set including at least one RS resource for the 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 one embodiment, the configuration information reported by the first type of channel information indicates a first type of resource set, the first type of resource set including at least one RS resource for the 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 that do not belong to the first type of resource set.

[0183] In the above method, the configuration information reported by different types of first-class channel information can indicate the same or different types of first-class resource sets, which is related to the sender of the first information set.

[0184] As an example, the first type of channel information reporting includes CSI.

[0185] As an example, the first type of channel information reporting includes 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 example, the first type of channel information reporting includes predicted channel information.

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

[0188] As one embodiment, the predicted beam information includes a beam indicator or an RS resource indicator.

[0189] As one example, the predicted beam information includes beam indication and RSRP.

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

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

[0192] As an example, the compressed CSI is based on a non-codebook.

[0193] As an example, the compressed CSI is not a reporting quantity defined by 3GPP Rel-18, nor is it a reporting quantity defined by versions prior to 3GPP Rel-18.

[0194] As an example, the compressed CSI is not a reporting quantity defined by 3GPP Rel-19, nor is it a reporting quantity defined by versions prior to 3GPP Rel-19.

[0195] As an example, the compressed CSI is not part of the reporting volume defined by the 5G standard.

[0196] As an example, the channel parameters recovered by the target receiver of the compressed CSI based on the compressed CSI are unknown to the sender of the compressed CSI.

[0197] As an example, the compressed CSI is based on artificial intelligence or machine learning.

[0198] As an example, the compressed CSI is based on neural network CSI.

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

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

[0201] As an example, the first type of identifier is a string.

[0202] As an example, the first type of identifier is used to identify AI models.

[0203] As an example, the first type of identifier is used to identify AI entities.

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

[0205] As an example, the advantages of the above method include that identifying an AI entity or function through the first type of identifier simplifies the design and unifies the understanding of different AI entities or functions across multiple nodes.

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

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

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

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

[0210] As an example, the advantages of the above method include that identifying an AI model / entity / function through the first type of identifier simplifies the design and unifies the understanding of different AI entities / functions across multiple nodes.

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

[0212] As one embodiment, the first type of identifier is used to identify or indicate a set of resources, the measurement of which is used to obtain a training dataset.

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

[0214] As an example, the first type of identifier is used to identify or indicate the training dataset.

[0215] As an example, the benefits of the above method include establishing consensus among different AI functions by identifying an AI training or AI training dataset to recognize the inferences generated by that AI training or AI training dataset, further simplifying the design.

[0216] As an example, the determination of the M first-type channel information reports depends on the first-type identifier associated with one of the N first-type channel information reports.

[0217] As an example, the determination of the M first-type channel information reports depends on the first-type identifier associated with each first-type channel information report in a subset of the N first-type channel information reports.

[0218] As an example, 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 example, processing only M of the N first-type channel information reports includes: sending only M of the N first-type channel information reports.

[0220] As an example, processing only the M first-type channel information reports out of the N first-type channel information reports includes: updating only the M first-type channel information reports out of the N first-type channel information reports.

[0221] As an example, processing only the M first-type channel information reports out of the N first-type channel information reports includes: not updating each first-type channel information report other than the M first-type channel information reports out of the N first-type channel information reports.

[0222] As an example, processing only the M first-type channel information reports out of the N first-type channel information reports includes: updating only the M first-type channel information reports out of the N first-type channel information reports, and sending the N first-type channel information reports.

[0223] As an example, processing only the M first-type channel information reports out of the N first-type channel information reports includes: sending the N first-type channel information reports, wherein each first-type channel information report other than the M first-type channel information reports out of the N first-type channel information reports is not updated.

[0224] As an example, processing only the M first-type channel information reports out of the N first-type channel information reports includes: sending only the M first-type channel information reports out of the N first-type channel information reports, and each first-type channel information report other than the M first-type channel information reports out of the N first-type channel information reports is not updated.

[0225] As one embodiment, updating the first type of channel information report includes: the first type of channel information report being valid.

[0226] As one embodiment, the first type of channel information reporting being updated includes: the first type of channel information reporting being different from the most recent reporting configured by the same reporting configuration information.

[0227] As one embodiment, the updating of the first type of channel information reporting includes: the first type of channel information reporting may be different from the most recent reporting configured by the same reporting configuration information.

[0228] As one embodiment, the updating of the first type of channel information reporting includes: the first type of channel information reporting is not necessarily the same as the most recent reporting configured by the same reporting configuration information.

[0229] As an example, the updating of the first type of channel information reporting includes: the first type of channel information reporting is generated based on the measurement of at least the most recent RS timing of at least the CSI reference resources in at least the first type of resource set that are no later than the first type of channel information reporting.

[0230] As one embodiment, updating the first type of channel information reporting includes: the first type of channel information reporting being updated based on a measurement of at least the most recent RS timing of at least the CSI reference resources in at least the first type of resource set that are no later than the first type of channel information reporting.

[0231] As one embodiment, the first type of resource set consists of one or more aperiodic RS resources; the first type of channel information reporting being updated includes: the first type of channel information reporting is generated based on measurements of triggered aperiodic RSs in the first type of resource set.

[0232] As one embodiment, the first type of resource set consists of one or more aperiodic RS resources; the first type of channel information reporting being updated includes: the first type of channel information reporting being updated based on measurements of triggered aperiodic RSs in the first type of resource set.

[0233] As one embodiment, the first type of channel information reporting not being updated includes: the first node is not expected to update the first type of channel information reporting.

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

[0235] As an example, the first type of channel information reporting not being updated includes: the first type of channel information reporting being invalid.

[0236] As one embodiment, the first type of channel information not being updated includes: the first type of channel information is not updated based on the most recent report configured in the same reporting configuration information.

[0237] As one embodiment, the first type of channel information reporting not being updated includes: the first type of channel information reporting being the same as the most recent report configured by the same reporting configuration information.

[0238] As an example, the fact that the first type of channel information reporting is not updated includes: the first type of channel information reporting must be the same as the most recent reporting configured by the same reporting configuration information.

[0239] As an example, the first type of channel information reporting not being updated includes: the first type of channel information reporting being unrelated to the measurement of the most recent RS timing of the CSI reference resource in the first type of resource set that is no later than the first type of channel information reporting.

[0240] As one embodiment, the first type of channel information reporting that is not updated includes: the first type of channel information reporting includes a default value.

[0241] As one embodiment, the first type of resource set consists of one or more aperiodic RS resources; the first type of channel information reporting not being updated includes: the first type of channel information reporting is unrelated to measurements based on triggered aperiodic RS resources in the first type of resource set.

[0242] As one embodiment, the first type of resource set consists of one or more aperiodic RS resources; the first type of channel information reporting not being updated includes: the first type of channel information reporting is not generated based on measurements of triggered aperiodic RS resources in the first type of resource set.

[0243] As one embodiment, the first type of resource set consists of one or more aperiodic RS resources; the first type of channel information reporting not being updated includes: the first type of channel information reporting is not updated based on measurements of triggered aperiodic RS resources in the first type of resource set.

[0244] Example 2

[0245] Example 2 illustrates a schematic diagram of a network architecture according to an embodiment of this application, as shown in the attached diagram. Figure 2 As shown.

[0246] Appendix Figure 2The network architecture 200 is described. The network architecture 200 is a 5G NR (New Radio) / LTE (Long-Term Evolution) / LTE-A (Long-Term Evolution Advanced) system, or a 5G+ network architecture, or a 6G network architecture, or a network architecture adopted in future evolutions by 3GPP; the network architecture 200 may be referred to as 5GS (5G System) / EPS (Evolved Packet System), or 6GS (6G System); the network architecture 200 includes at least one of UE (User Equipment) 201, RAN (Radio Access Network) 202, core network 210, HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and Internet service 230. The network architecture 200 can interconnect with other access networks, but these entities / interfaces are not shown for simplicity. As shown, the network architecture 200 provides packet-switched services; however, those skilled in the art will readily understand that the various concepts presented throughout this application can be extended to networks providing circuit-switched services or other cellular networks. The RAN includes node 203. The RAN may also include other nodes 204. Node 203 provides user and control plane protocol termination toward UE 201. Node 203 may be connected to other nodes 204 via an Xn interface (e.g., backhaul) / X2 interface. Node 203 may also be referred to as a base station, base transceiver station, radio base station, radio transceiver, transceiver function, basic service set (BSS), extended service set (ESS), TRP (transmitter-receiver node), or some other suitable term. The core network 210 is a 5GC (5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is a 6GC; node 203 provides UE 201 with an access point to the core network 210.Examples of UE201 include cellular phones, smartphones, Session Initiation Protocol (SIP) phones, laptops, personal digital assistants (PDAs), satellite radios, non-terrestrial base station communications, satellite mobile communications, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, drones, aircraft, narrowband IoT devices, machine-type communication devices, land vehicles, automobiles, wearable devices, or any other similar functional devices. Those skilled in the art may also refer to UE201 as a mobile station, subscriber station, mobile unit, subscriber unit, radio unit, remote unit, mobile device, radio device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handheld device, user agent, mobile client, client, or any other suitable term. Node 203 is connected to the core network 210 via an S1 / NG interface. The core network 210 includes an MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MMEs / AMFs / SMFs 214, an S-GW (Service Gateway) / UPF (User Plane Function) 212, and a P-GW (Packet Data Network Gateway) / UPF 213. The MME / AMF / SMF 211 is the control node that handles signaling between the UE 201 and the core network 210. Generally, the MME / AMF / SMF 211 provides bearer and connection management. All user IP (Internet Protocol) packets are transmitted through the S-GW / UPF 212, which is itself connected to the P-GW / UPF 213. The P-GW provides UE IP address allocation and other functions. The P-GW / UPF 213 is connected to the Internet service 230. Internet services 230 include operator-compliant Internet protocol services, which may specifically include Internet, intranet, IMS (IP Multimedia Subsystem), and packet switching services.

[0247] As an example, the first node includes the UE201.

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

[0249] As an example, the wireless link between the UE201 and the node203 includes a cellular link.

[0250] As an example, the sender of the first information set includes the node 203.

[0251] As an example, the recipient of the first information set includes the UE201.

[0252] As an example, the first type of resource set includes one or more RS resources, and the sender of the reference signal in the first type of resource set includes the node 203.

[0253] As an example, the first type of resource set includes one or more RS resources, and the receiver of the reference signal in the first type of resource set includes the UE201.

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

[0255] As one embodiment, the second type of resource set includes one or more RS resources, and the receiver of the reference signal in the second type of resource set includes the UE201.

[0256] As an example, the sender of the first type of channel information reporting includes the UE201.

[0257] As an example, the receiver of the first type of channel information reporting includes the node 203.

[0258] Example 3

[0259] Example 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture for the user plane and control plane according to an embodiment of this application, as shown in the attached diagram. Figure 3 As shown.

[0260] Example 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture for a user plane and a control plane according to this application, as shown in the attached diagram. Figure 3 As shown. Figure 3 This is a schematic diagram illustrating an embodiment of a radio protocol architecture for the user plane 350 and the control plane 300. Figure 3The radio protocol architecture of the control plane 300 between the first communication node device (UE, gNB, or RSU in V2X) and the second communication node device (gNB, UE, or RSU in V2X), or between two UEs, is illustrated using three layers: Layer 1, Layer 2, and Layer 3. Layer 1 (L1 layer) is the lowest layer and implements various PHY (Physical Layer) signal processing functions. Layer 1 will be referred to as PHY 301 in this document. Layer 2 (L2 layer) 305, above PHY 301, is responsible for the link between the first and second communication node devices, or between two UEs. Layer 2 305 includes the MAC (Medium Access Control) sublayer 302, the RLC (Radio Link Control) sublayer 303, and the PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate at the second communication node device. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. PDCP sublayer 304 also provides security through encrypted data packets and supports cross-cell mobility between second communication node devices and the first communication node device. RLC sublayer 303 provides upper layer data packet segmentation and reassembly, retransmission of lost data packets, and data packet reordering to compensate for out-of-order reception due to HARQ. MAC sublayer 302 provides multiplexing between the logical and transport channels. MAC sublayer 302 is also responsible for allocating various radio resources (e.g., resource blocks) within a cell between the first communication node devices. MAC sublayer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sublayer 306 in Layer 3 (L3) of the control plane 300 is responsible for acquiring radio resources (i.e., radio bearers) and configuring the lower layer using RRC signaling between the second and first communication node devices. The radio protocol architecture of user plane 350 includes layer 1 (L1 layer) and layer 2 (L2 layer). The radio protocol architecture for the first and second communication node devices in user plane 350 is largely the same as the corresponding layers and sublayers in control plane 300 for physical layer 351, PDCP sublayer 354 in L2 layer 355, RLC sublayer 353 in L2 layer 355 and MAC sublayer 352 in L2 layer 355. However, PDCP sublayer 354 also provides header compression for upper layer data packets to reduce radio transmission overhead.The L2 layer 355 in the user plane 350 also includes an SDAP (Service Data Adaptation Protocol) sublayer 356, which is responsible for mapping between QoS streams and data radio bearers (DRBs) to support service diversity. Although not illustrated, the first communication node device may have several upper layers above the L2 layer 355, including a network layer (e.g., IP layer) terminating at the P-GW on the network side and an application layer terminating at the other end of the connection (e.g., a remote UE, server, etc.).

[0261] As an example, Appendix Figure 3 The wireless protocol architecture described above is applicable to the first node.

[0262] As an example, Appendix Figure 3 The wireless protocol architecture described above is applicable to the second node.

[0263] As an example, the higher layer mentioned in this application refers to the layer above the physical layer.

[0264] As an example, the first information set is generated in the RRC sublayer 306.

[0265] As an example, the first information set is generated in the MAC sublayer 302 or the MAC sublayer 352.

[0266] As an example, the reference signal in the first type of resource set is generated in the PHY301 or the PHY351.

[0267] As an example, the first type of channel information reporting is generated in the MAC sublayer 302 or the MAC sublayer 352.

[0268] As an example, the first type of channel information reporting is generated in the PHY301 or the PHY351.

[0269] Example 4

[0270] Example 4 illustrates a schematic diagram of a first communication device and a second communication device according to an embodiment of this application, as shown in the attached diagram. Figure 4 As shown. (Attached) Figure 4 This is a block diagram of a first communication device 410 and a second communication device 450 communicating with each other in an access network.

[0271] The first communication device 410 includes a controller / processor 475, a memory 476, a receiver processor 470, a transmitter processor 416, a multi-antenna receiver processor 472, a multi-antenna transmitter processor 471, a transmitter / receiver 418, and an antenna 420.

[0272] The second communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmitting processor 468, a receiving processor 456, a multi-antenna transmitting processor 457, a multi-antenna receiving processor 458, a transmitter / receiver 454, and an antenna 452.

[0273] In the transmission from the first communication device 410 to the second communication device 450, at the first communication device 410, upper-layer data packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements L2 layer functionality. In DL (Downlink), the controller / processor 475 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocation to the second communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for HARQ operation, retransmission of lost packets, and signaling to the second communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for L1 layer (i.e., physical layer). Transmit processor 416 performs encoding and interleaving to facilitate forward error correction (FEC) at the second communication device 450, and constellation mapping based on various modulation schemes (e.g., binary phase shift keying (BPSK), quadrature phase shift keying (QPSK), M-phase shift keying (M-PSK), and M-quadrature amplitude modulation (M-QAM). Multi-antenna transmit processor 471 performs digital spatial precoding on the encoded and modulated symbols, including codebook-based precoding and non-codebook-based precoding, and beamforming processing, generating one or more parallel... The transmit processor 416 then maps each parallel stream to a subcarrier, multiplexes the modulated symbols with a reference signal (e.g., a pilot) in the time and / or frequency domains, and then uses an inverse fast Fourier transform (IFFT) to generate a physical channel carrying the time-domain multicarrier symbol stream. The multi-antenna transmit processor 471 then performs transmit analog precoding / beamforming operations on the time-domain multicarrier symbol stream. Each transmitter 418 converts the baseband multicarrier symbol stream provided by the multi-antenna transmit processor 471 into an RF stream, which is then provided to a different antenna 420.

[0274] In the transmission from the first communication device 410 to the second communication device 450, at the second communication device 450, each receiver 454 receives a signal through its corresponding antenna 452. Each receiver 454 recovers the information modulated onto the radio frequency carrier and converts the radio frequency stream into a baseband multicarrier symbol stream, which is then provided to the receiver processor 456. The receiver processor 456 and the multi-antenna receiver processor 458 implement various signal processing functions of the L1 layer. The multi-antenna receiver processor 458 performs receive analog precoding / beamforming operations on the baseband multicarrier symbol stream from the receiver 454. The receiver processor 456 uses a Fast Fourier Transform (FFT) to convert the baseband multicarrier symbol stream after the receive analog precoding / beamforming operations from the time domain to the frequency domain. In the frequency domain, the physical layer data signal and the reference signal are demultiplexed by the receiver processor 456, where the reference signal is used for channel estimation, and the data signal is recovered in the multi-antenna receiver processor 458 after multi-antenna detection to recover any parallel stream destined for the second communication device 450. Symbols on each parallel stream are demodulated and recovered in the receive processor 456, generating soft decisions. The receive processor 456 then decodes and deinterleaves the soft decisions to recover the upper-layer data and control signals transmitted over the physical channel by the first communication device 410. The upper-layer data and control signals are then provided to the controller / processor 459. The controller / processor 459 implements the functions of Layer 2 (L2). The controller / processor 459 may be associated with a memory 460 storing program code and data. The memory 460 may be referred to as computer-readable media. In the DL (Layered Logic), the controller / processor 459 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transmission and logical channels to recover upper-layer packets from the core network. The upper-layer packets are then provided to all protocol layers above Layer 2. Various control signals may also be provided to Layer 3 (L3) for L3 processing. The controller / processor 459 is also responsible for error detection using ACK and / or NACK protocols to support HARQ operation.

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

[0276] In the transmission from the second communication device 450 to the first communication device 410, the function at the first communication device 410 is similar to the receiving function at the second communication device 450 described in the transmission from the first communication device 410 to the second communication device 450. Each receiver 418 receives radio frequency signals through its corresponding antenna 420, converts the received radio frequency signals into baseband signals, and provides the baseband signals to the multi-antenna receiving processor 472 and the receiving processor 470. The receiving processor 470 and the multi-antenna receiving processor 472 jointly implement the L1 layer functions. The controller / processor 475 implements the L2 layer functions. The controller / processor 475 may be associated with a memory 476 that stores program code and data. The memory 476 may be referred to as computer-readable media. The controller / processor 475 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transmission and logical channels to recover upper-layer data packets from the second communication device 450. The upper-layer data packets from the controller / processor 475 may be provided to the core network. The controller / processor 475 is also responsible for error detection using ACK and / or NACK protocols to support HARQ operation.

[0277] As one embodiment, the second communication device 450 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor. The second communication device 450 means at least: 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 a first-type identifier; processing only M of the N first-type channel information reports, M being a positive integer less than N; wherein 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.

[0278] As one embodiment, the second communication device 450 includes: a memory storing a computer-readable instruction program that, when executed by at least one processor, produces actions including: receiving a first information set, the first information set being used to configure N first-type channel information reports, where N is a positive integer greater than 1, and one first-type channel information report being associated with a first-type identifier; processing only M of the N first-type channel information reports, where M is a positive integer less than N; wherein 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.

[0279] As one embodiment, the first communication device 410 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor. The first communication device 410 means at least: transmitting 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, one first-type channel information report being associated with a 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 less than N; 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 with at least one of the N first-type channel information reports.

[0280] As one embodiment, the first communication device 410 includes: a memory storing a computer-readable instruction program that, when executed by at least one processor, produces actions including: sending a first information set, the first information set being used to configure N first-type channel information reports, where N is a positive integer greater than 1, and one first-type channel information report being associated with a first-type identifier; receiving at least M first-type channel information reports from the N first-type channel information reports, where M is a positive integer less than N; 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 with at least one of the N first-type channel information reports.

[0281] As an example, the first node in this application includes the second communication device 450.

[0282] As an example, the second node in this application includes the first communication device 410.

[0283] As an example, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first information set in this application; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to transmit the first information set in this application.

[0284] As an example, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the reference signal in the first type of resource set in this application; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to transmit the reference signal in the first type of resource set in this application.

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

[0286] Example 5

[0287] Example 5 illustrates a flowchart of a transmission according to an embodiment of this application; as attached Figure 5 As shown. In the appendix Figure 5 In this context, the second node U1 and the first node U2 are communication nodes that transmit data via an air interface. (Appendix) Figure 5 In the diagram, the steps in boxes F50 to F53 are optional.

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

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

[0290] In Embodiment 5, the first information set is used to configure N first-type channel information reports, where N is a positive integer greater than 1, and one first-type channel information report is associated with a first-type identifier; M is a positive integer less than N; 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.

[0291] As one embodiment, receiving at least M of the N first-type channel information reports includes: receiving the N first-type channel information reports.

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

[0293] As an example, the first node U2 is the first node in this application.

[0294] As an example, the second node U1 is the second node in this application.

[0295] As one embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between the base station equipment and the user equipment.

[0296] As one embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between the relay node device and the user equipment.

[0297] As one embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between user equipment and user equipment.

[0298] In one embodiment, the second node U1 is the serving cell sustaining base station of the first node U2.

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

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

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

[0302] As an example, Appendix Figure 5 In the context of a two-sided AI model, the steps in box F52 and box F53 exist.

[0303] As an example, Appendix Figure 5 In this context, when a single-side AI model is used, the steps in box F52 exist.

[0304] As an example, Appendix Figure 5 In the context of a single-side AI model, steps in box F52 exist when the model is used, and steps in box F52 do not exist.

[0305] As an example, Appendix Figure 5In the context of a two-sided AI model being used, steps in box F52 and box F53 are present, with the first operation used for CSI compression and the second operation used for CSI recovery.

[0306] As an example, Appendix Figure 5 In the context of a single-side AI model being used, the steps in box F52 exist, where the first operation is used for beam prediction or CSI prediction.

[0307] As an example, the deployment of the first operation precedes the reception of the first information set.

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

[0309] As an example, Appendix Figure 5 The steps in block F53 are present; the method used in the first node for wireless communication includes: receiving a signal in the first type of resource set.

[0310] As an example, Appendix Figure 5 The steps in block F53 are present; the method in the second node used for wireless communication includes: transmitting a signal in the first type of resource set.

[0311] As an example, the signal received in the first type of resource set includes a reference signal.

[0312] As an example, the signals received in the first type of resource set include wireless signals.

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

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

[0315] As an example, the first type of channel information reporting includes the first CSI.

[0316] As an example, Appendix Figure 5 The steps in block F51 are present, and the method described above for the second node used in wireless communication includes: deploying the second operation.

[0317] As one example, the deployment of the second operation precedes the transmission of the first information set.

[0318] As an example, the deployment of the second operation is later than the transmission of the first information set.

[0319] As an example, Appendix Figure 5 The steps in block F56 are present, and the method described above for the second node used in wireless communication includes: performing the second operation.

[0320] As an example, 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.

[0321] As an example, the first operation is used for beam prediction, and the first node employs a singleside AI model.

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

[0323] The first node first measures the RS resources used for channel measurement to obtain the channel parameter matrix H. r×t Where r and t are the number of receiving antennas and the number of antenna ports, respectively; at least the channel parameter matrix H r×t Alternatively, its feature vector is input into an AI model, and the output of the AI ​​model is used to obtain the first type of channel information report.

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

[0325] In one implementation, measurement interference is also input into the AI ​​model.

[0326] In another implementation, measurement interference is not input into the AI ​​model; the output of the AI ​​model and the measurement interference are used together to generate the first type of channel information report.

[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] Examples 6A-6B

[0329] Examples 6A-6B illustrate schematic diagrams of a first type of channel information reporting according to an embodiment of this application; as shown in the appendix. Figures 6A-6B As shown.

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

[0331] As an example, the generation method of the first type of channel information based on AI includes: the generation method of the first type of channel information is based on training.

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

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

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

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

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

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

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

[0339] As one embodiment, the generation method of the first type of channel information reporting is based on training or AI and includes: the configuration information of the first type of channel information reporting indicates a first type of identifier.

[0340] As one embodiment, the generation method of the first type of channel information reporting is based on training or AI and includes: the configuration information of the first type of channel information reporting indicates a first type of resource set, the first type of resource set includes at least one RS resource for the measurement of the first type of channel information reporting; the generation of the first type of channel information reporting includes the first node or the target receiver of the first information set performing a first operation, the input of the first operation depends on the measurement based on the first type of resource set, and the first type of channel information reporting depends on the output of the first operation.

[0341] As one embodiment, the generation method of the first type of channel information reporting is based on training or AI and includes: the configuration information of the first type of channel information reporting indicates a first type of identifier, and the generation method of the first type of channel information includes performing a first operation, the first operation being associated with the first type of identifier indicated by the configuration information of the first type of channel information reporting.

[0342] As an example, the generation method of the first type of channel information reporting is based on training or AI, including: associating the first type of channel information with a first type of identifier.

[0343] In Embodiment 6B, the configuration information reported by the first type of channel information indicates a first type of resource set, which includes at least one RS resource for measurements used in the reporting of the first type of channel information; the first type of channel information reporting indicates at least one resource in a second type of resource set, which includes resources that do not belong to the first type of resource set. (See Appendix...) Figure 6B In the above, the first type of resource set includes resource #1, ..., resource #J1; the second type of resource set includes resource #1, ..., resource #J2.

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

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

[0346] As an example, the first type of resource set includes at least one of at least a 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 an example, the first type of resource set includes at least one RS resource set for channel measurement, and an RS resource set for channel 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; an RS resource set for channel measurement includes one or more RS resources, and an 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; an RS resource set for interference measurement includes one or more RS resources.

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

[0351] As an example, a set of RS resources for interference measurement includes one or more RS resources.

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

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

[0354] As an example, 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 example, at least one RS resource in the first type of resource set is a CSI-RS (Channel State Information Reference Signal) resource.

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

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

[0358] As one embodiment, the synchronization signal resources include at least the resources occupied by the synchronization signal.

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

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

[0361] As an example, the configuration information reported by the first type of channel information indicates at least one resource configuration, and the at least one resource configuration indicates a first type of resource set.

[0362] As an example, a resource configuration is used to configure CSI resources.

[0363] As an example, a resource configuration is an IE CSI-ResourceConfig.

[0364] As an example, a resource configuration includes an RRC IE.

[0365] As an example, a resource configuration includes IE CSI-ResourceConfig.

[0366] As one embodiment, the configuration information reported by the first type of channel information includes the identifier of the first type of resource set.

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

[0368] As an example, the first node is not required to measure the second type of resource set.

[0369] As an example, the first type of resource set is used for measurement, and the second type of resource set is used for prediction.

[0370] As an example, the first type of resource set is used for measurement, and the second type of resource set is used for prediction.

[0371] As an example, only the first type of resource set and the second type of resource set are used for measurement.

[0372] As one embodiment, using only the first type of resource set in the first type of resource set and the second type of resource set for measurement includes: using only the first type of resource set in the first type of resource set and the second type of resource set for measurement by the first node.

[0373] As one embodiment, the use of only the first type of resource set for measurement in the first type of resource set and the second type of resource set includes: the first type of resource set being used for measurement by the first node, and the first node not being required to measure some or all of the resources in the second type of resource set.

[0374] As one embodiment, the first node not being required to measure the second type of resource set includes: the first node not measuring some or all of the resources in the second type of resource set.

[0375] As one embodiment, the first node not being required to measure the second type of resource set includes: whether the first node measures some or all of the resources in the second type of resource set is implementation-related or determined by the first node itself.

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

[0377] As one embodiment, the first type of resource set includes one or more RS resources, the second type of resource set includes one or more RS resources, and the second type of resource set includes the first type of resource set and RS resources other than the first type of resource set.

[0378] As an example, the number of resources included in the first type of resource set is less than the number of resources included in the second type of resource set.

[0379] As an example, the number of RS resources included in the first type of resource set is less than the number of RS resources included in the second type of resource set.

[0380] As one embodiment, the second type of resource set includes resources that do not belong to the first type of resource set.

[0381] As one embodiment, the second type of resource set includes antenna ports that do not belong to the first type of resource set.

[0382] As an example, the second type of resource set includes resources that do not belong to the first type of resource set. The resources in the second type of resource set include at least one of antenna ports, TCI status, QCL information, frequency resources, time and frequency code resources, beams, RS resources, vectors, or matrices.

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

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

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

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

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

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

[0389] As one embodiment, the second type of resource set includes 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 one embodiment, the second type of resource set includes 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 example, the second type of resource set includes at least one training dataset.

[0392] As an example, the second type of resource set is used to train an AI model.

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

[0394] As an example, the second type of resource set includes at least one of the following: 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.

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

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

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

[0398] As one example, the second type of resource set includes one or more RS resources.

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

[0400] As an example, 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 example, the configuration information reported by the first type of channel information indicates at least one resource configuration, and the at least one resource configuration indicates the second type of resource set.

[0402] As an example, the configuration information reported by the first type of channel information 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 example, the configuration information reported by the first type of channel information indicates a resource configuration, wherein the resource configuration indicates the first type of resource set and the second type of resource set.

[0404] As an example, the configuration information reported by the first type of channel information indicates two resource configurations, which respectively indicate the first type of resource set and the second type of resource set.

[0405] As an example, the configuration information reported by the first type of channel information indicates the configuration information of the second type of resource set.

[0406] As one embodiment, the configuration information reported by the first type of channel information indicates the identifier of the second type of resource set.

[0407] As one embodiment, the configuration information reported by the first type of channel information is used to indicate the second type of resource set from the reference resource set.

[0408] As one embodiment, the configuration information reported by the first type of channel information indicates a first type of identifier, and the second type of resource set depends on the first type of identifier.

[0409] As one embodiment, the second type of resource set depends on the first type of identifier, which is used to identify the second type of resource set.

[0410] As one embodiment, the second type of resource set depends on the first type of identifier, which includes: the first type of identifier is used to identify a reference resource set, the reference resource set including the second type of resource set.

[0411] As one embodiment, the second type of resource set depends on the first type of identifier, including: the first type of identifier is used to identify a reference resource set, the reference resource set including the second type of resource set, and the configuration information reported by the first type of channel information is used to indicate the second type of resource set from the reference resource set.

[0412] As an example, the information other than the configuration information reported by the first type of channel information indicates the second type of resource set.

[0413] As one embodiment, information outside the first information set indicates the second type of resource set.

[0414] As one embodiment, the information in addition to the configuration information reported by the first type of channel information indicating the second type of resource set includes higher-level parameters.

[0415] As one embodiment, the information in addition to the configuration information reported by the first type of channel information indicating the second type of resource set includes RRC parameters.

[0416] As one embodiment, the information indicating the second type of resource set, in addition to the configuration information reported by the first type of channel information, includes part or all of an RRC IE field.

[0417] As one embodiment, the information in addition to the configuration information reported by the first type of channel information indicating the second type of resource set includes MAC CE.

[0418] As an example, the information other than the configuration information reported by the first type of channel information indicating the second type of resource set includes DCI (downlink control information).

[0419] Example 7

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

[0421] As an example, 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 an example, the first CSI includes the output of the first operation.

[0423] As an example, the first CSI includes compressed CSI.

[0424] As one embodiment, the second CSI includes the recovery of at least a portion of the input of the first operation.

[0425] As an example, the second CSI includes one or more of the following: PMI (Precoding Matrix Indicator), CRI (CSI-RS Resource Indicator), SS / PBCH Block Resource Indicator (SSBRI), beam indicator, resource indicator, CQI (Channel Quality Indicator), RI (Rank Indicator), Layer Indicator (LI), RSRP (Reference Signal Received Power), SINR (Signal-to-Noise and Interference Ratio), Capability Index, or TDCP (Time Domain Channel Properties).

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

[0427] As one embodiment, the second CSI includes a feature vector and / or feature values.

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

[0429] As one embodiment, the second CSI includes one or more of the following: channel matrix, eigenvector, eigenvalue, or precoding matrix.

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

[0431] As an example, the target receiver of the first type of channel information reporting is the sender of the first type of resource set.

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

[0433] As an example, the second operation is based on training.

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

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

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

[0437] As an example, the training for obtaining the second operation is performed by NWDAF.

[0438] As an example, the training for obtaining the second operation is performed by the core network.

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

[0440] As an example, the AI ​​(Artificial Intelligence) includes ML (Machine Learning).

[0441] As an example, the AI ​​(Artificial Intelligence) includes a neural network.

[0442] As an example, the AI ​​(Artificial Intelligence) includes CNN (Conventional Neural Networks).

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

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

[0445] As an example, the advantages of the above method include: saving air interface overhead, having better flexibility, being adaptable to different terminals, and having better forward compatibility.

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

[0447] As an example, the advantages of the above method include: optimized performance.

[0448] As an example, the training of the second operation depends on the first operation.

[0449] As an example, the producer of the second operation trains the second operation based on the output of the first operation.

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

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

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

[0453] As an example, the second operation is AI inference for CSI recovery.

[0454] As an example, the second operation is AI inference for CSI decompression.

[0455] As an example, the second operation is performed by the AI ​​entity deployed on the second node in this application.

[0456] As an example, the second operation is performed by the AI ​​function of the second node deployed in this application.

[0457] As an example, the second operation requires deployment.

[0458] As an example, the second operation is obtained by loading.

[0459] As an example, the second operation is obtained from the core network.

[0460] As an example, the second operation is obtained from the producer.

[0461] As an example, the second operation is obtained from the producer of the second operation.

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

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

[0464] As an example, the second operation is obtained from loading from the MnS producer.

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

[0466] As an example, the second operation is based on a neural network.

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

[0468] As one example, the second operation includes a CNN-based CSI compression encoder.

[0469] As an example, the second operation is performed by the physical layer of the second node.

[0470] As one example, the second operation is performed at a higher level of the second node.

[0471] Examples 8A-8B

[0472] Examples 8A-8B respectively illustrate schematic diagrams of a first operation according to an embodiment of this application; as attached Figures 8A-8B As shown.

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

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

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

[0476] As an example, each of the K1 training-based sub-operations is based on the same training executor.

[0477] As an example, two of the K1 sub-operations are based on different training executors.

[0478] As an example, at least one of the K1 sub-operations needs to be deployed.

[0479] As an example, at least one of the K1 sub-operations needs to be loaded.

[0480] As an example, all the sub-operations that need to be loaded in the K1 sub-operations are loaded from the same producer.

[0481] As an example, two of the K1 sub-operations that need to be loaded are loaded from different producers.

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

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

[0484] As an example, one or more of the K1 sub-operations are AI-based.

[0485] As an example, one or more of the K1 sub-operations include inference.

[0486] As an example, one or more of the K1 sub-operations include AI inference.

[0487] As an example, one or more of the K1 sub-operations include AI inference for CSI.

[0488] As an example, the AI ​​(Artificial Intelligence) includes ML (Machine Learning).

[0489] As an example, one or more of the K1 sub-operations include preprocessing.

[0490] As an example, one or more of the K1 sub-operations include post-processing.

[0491] As an example, among the K1 sub-operations, two sub-operations are sequential, such as all the sub-operations in Figure 8(a), sub-operations #2 to #(K1-1) in 8(b), and sub-operations #0 to #(K1-4) in 8(c).

[0492] As an example, the 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 example, among the K1 sub-operations, two sub-operations are parallel, such as sub-operation #0 and sub-operation #1 in Figure 8(b), and sub-operation #(K1-3) and sub-operation #(K1-2) in Figure 8(c).

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

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

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

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

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

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

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

[0501] As an example, an encoding layer includes at least one convolutional layer and one pooling layer.

[0502] In Example 8B, the first operation is associated with a first type of identifier.

[0503] As one embodiment, the configuration information reported by the first type of channel information indicates a first type of identifier, and the first operation is associated with the first type of identifier indicated by the configuration information reported by the first type of channel information.

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

[0505] As an example, the first type of identifier is a string.

[0506] As an example, the first operation is identified by the first type of identifier.

[0507] As an example, the AI ​​model used in the first operation is identified by the first type of identifier.

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

[0509] As an example, the AI ​​function to which the first operation belongs is identified by the first type of identifier.

[0510] As an example, the AI ​​entity or AI function to which the first operation belongs is identified by the first type of identifier.

[0511] As an example, the advantages of the above method include that identifying an AI entity or function through the first type of identifier simplifies the design and unifies the understanding of different AI entities or functions across multiple nodes.

[0512] As an example, the AI ​​function that performs the first operation is identified by the first type of identifier.

[0513] As an example, the AI ​​entity performing the first operation is identified by the first type of identifier.

[0514] As an example, the AI ​​entity or AI function that performs the first operation is identified by the first type of identifier.

[0515] As an example, the first type of identifier is a model identifier.

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

[0517] As an example, the first type of identifier is used by the first node to identify an AI model.

[0518] As an example, the first type of identifier is used by the first node to determine the AI ​​model adopted by the first operation.

[0519] As an example, the advantages of the above method include that identifying an AI model / entity / function through the first type of identifier simplifies the design and unifies the understanding of different AI entities / functions across multiple nodes.

[0520] As one embodiment, the first type of identifier is used to identify or indicate a set of reference resources, and the measurement of the set of reference resources is used to obtain a training dataset for the first operation.

[0521] As an example, the first type of identifier is used to identify the configuration information of the reference resource set, and the measurement of the reference resource set is used to obtain the training dataset for the first operation.

[0522] As one embodiment, the training for obtaining the first operation is identified by the first type of identifier.

[0523] As an example, the dataset used for training the first operation is identified by the first type of identifier.

[0524] As an example, the benefits of the above method include establishing consensus among different AI functions by identifying an AI training or AI training dataset to recognize the inferences generated by that AI training or AI training dataset, further simplifying the design.

[0525] As an example, the configuration information reported by the first type of channel information indicates the first operation by indicating the first type of identifier.

[0526] As an example, the configuration information reported by the first type of channel information indicates the use of the AI ​​model by indicating the first type of identifier.

[0527] As an example, the configuration information reported by the first type of channel information obtains input for the AI ​​entity / function / inference associated with the first type of identifier by instructing the first type of identifier.

[0528] As an example, the first operation performs spatial beam prediction for a second type of resource set based on measurements of the first type of resource set, the second type of resource set depending on the first type of identifier.

[0529] As an example, the advantages of the above method include reduced RS overhead and reduced feedback latency.

[0530] As an example, 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, the second type of resource set depending on the first type of identifier.

[0531] As an example, the channel information in this application includes beam information.

[0532] As one embodiment, the first operation performs temporal beam prediction for a second type of resource set based on historical measurements of the first type of resource set, the second type of resource set depending on the first type of identifier.

[0533] As an example, the advantages of the above method include reducing beam feedback delay and improving the real-time performance of beam acquisition.

[0534] As one embodiment, the first operation performs temporal channel information prediction for a second type of resource set based on historical measurements of the first type of resource set, the second type of resource set depending on the first type of identifier.

[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 the attached diagram. Figure 9 As shown.

[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, Appendix Figure 9 The request in the request is a request from the first node to load the first operation.

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

[0546] As an example, the first node is attached Figure 9 The response obtained in the first operation is achieved.

[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 via attached Figure 9 The response in the first node provides the first operation.

[0552] As an example, the deployment is accomplished by an AI function.

[0553] As an example, the deployment is accomplished by AI functionality deployed on the first node.

[0554] As an example, the deployment is accomplished by an AI deployment function.

[0555] As an example, the deployment is accomplished by the AI ​​deployment function deployed on the first node.

[0556] As an example, the deployment is accomplished using AI inference functionality.

[0557] As an example, the deployment is accomplished by an AI inference function deployed on the first node.

[0558] As an example, the deployment is performed by an AI entity.

[0559] As an example, the deployment is performed by an AI entity deployed on the first node.

[0560] As an example, the deployment is performed by an AI entity with a deployment function.

[0561] As an example, the deployment is performed by an AI entity with deployment capabilities deployed on the first node.

[0562] As an example, the deployment is accomplished by an AI entity with an inference function.

[0563] As an example, the deployment is performed by an AI entity with inference capabilities deployed on the first node.

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

[0565] As one embodiment, the deployment includes requesting a first producer to load the first operation.

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

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

[0568] As an example, the first producer generates and provides AL functionality.

[0569] As an example, the first producer is the producer of the first operation.

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

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

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

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

[0574] As one example, the first producer includes an AL-trained producer.

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

[0576] As an example, the first producer includes the producer of the AL entity deployment.

[0577] As one example, the first producer includes the producer that loads the AL entity.

[0578] As an example, the first producer includes an MnS (Management Service) producer.

[0579] As an example, the sender of the configuration information reported by the first type of channel information is the first producer.

[0580] As an example, the sender of the configuration information reported by the first type of channel information is different from the first producer.

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

[0582] As an example, the executor used to obtain the training for the first operation is different from the first producer.

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

[0584] Examples 10A-10C

[0585] Examples 10A-10C illustrate schematic diagrams of a first-type channel information report associated with a first-type identifier according to an embodiment of this application; as shown in the appendix. Figures 10A-10C As shown.

[0586] In embodiment 10A, the association of a first type of channel information report with a first type of identifier includes: the configuration information of the first type of channel information report indicates a first type of identifier, and the first type of identifier associated with the first type of channel information report is the first type of identifier indicated by the configuration information of the first type of channel information report.

[0587] In embodiment 10B, the association of a first type of channel information reporting with a first type of identifier includes: the first node or the target receiver of the first information set performing a first operation, the first type of channel information reporting depending on the output of the first operation, and the first operation being associated with the first type of identifier.

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

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

[0590] As an example, the first operation performs spatial beam prediction for a second type of resource set based on measurements of a first type of resource set, the second type of resource set including resources that do not belong to the first type of resource set.

[0591] As an example, the advantages of the above method include reduced RS overhead and reduced feedback latency.

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

[0593] As an example, the channel information in this application includes beam information.

[0594] As an example, the first operation performs temporal beam prediction for the second type of resource set based on historical measurements of the first type of resource set.

[0595] As an example, the advantages of the above method include reducing beam feedback delay and improving the real-time performance of beam acquisition.

[0596] As an example, the first operation performs temporal channel information prediction for the second type of resource set based on historical measurements of the first type of resource set.

[0597] 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.

[0598] As an example, the input to the first operation also includes the second type of resource set.

[0599] As an example, the input to the first operation may also include some or all of the resources in the second type of resource set.

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

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

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

[0603] As an example, the output of the first operation is used to generate the first type of channel information report.

[0604] As an example, the output of the first operation, after post-processing, is used to generate the first type of channel information report.

[0605] As an example, the output of the first operation, after being truncated and / or quantized, is used to generate the first type of channel information report.

[0606] As an example, some or all of the output of the first operation, after post-processing, is used to generate the first type of channel information report.

[0607] As an example, some or all of the output of the first operation, after being truncated and / or quantized, is used to generate the first type of channel information report.

[0608] As an example, the configuration information reported by the first type of channel information indicates a first type identifier, the first type identifier is a first type identifier, and the first operation is associated with the first type identifier.

[0609] As one embodiment, the generation method of the first type of channel information reporting associated with the first type of identifier includes: the generation of the first type of channel information reporting includes the target receiver of the first information block performing a first operation, the input of the first operation depending on the measurement based on the first type of resource set, the first type of channel information reporting depending on the output of the first operation, and the first operation being associated with the first type of identifier.

[0610] As one embodiment, the input dependency of the first operation based on the measurement of the first type of resource set includes: the input dependency of the first operation based on the measurement of the first timing set.

[0611] As an example, the first operation is based on training or AI.

[0612] As an example, the measurement based on the first type of resource set includes uncompressed channel information, and the output of the first operation includes compressed channel information.

[0613] As an example, the advantages of the above method include its applicability to channel compression and the saving of feedback overhead.

[0614] As one embodiment, the measurement based on the first type of resource set includes channel information obtained by measurement, and the output of the first operation includes predicted channel information.

[0615] As one embodiment, the measurement based on the first type of resource set includes channel information obtained from the measurement, and the output of the first operation includes spatial beam prediction.

[0616] As one embodiment, the measurement based on the first type of resource set includes channel information obtained from the measurement, and the output of the first operation includes spatial beam prediction for the second type of resource set.

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

[0618] As an example, the advantages of the above method include reduced RS overhead and reduced feedback latency.

[0619] As an example, the channel information in this application includes beam information.

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

[0621] As an example, the measurement based on the first type of resource set includes historical channel information, and the output of the first operation includes predicted channel information.

[0622] As an example, the measurement based on the first type of resource set includes historical channel information, and the output of the first operation includes temporal beam prediction.

[0623] As one embodiment, the measurement based on the first type of resource set includes historical channel information, and the output of the first operation includes temporal beam prediction for the second type of resource set.

[0624] 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.

[0625] As an example, the measurement based on the first type of resource set includes current channel information, and the output of the first operation includes channel information after a period of time.

[0626] As one example, the measurement based on the first type of resource set includes current channel information, and the output of the first operation includes future channel information.

[0627] As one example, the measurement based on the first type of resource set includes historical channel information, and the output of the first operation includes future channel information.

[0628] As an example, the advantages of the above method include improved CSI accuracy and real-time performance, and reduced RS overhead.

[0629] As one example, the measurement based on the first type of resource set includes incomplete channel information, while the output of the first operation includes complete channel information.

[0630] As an example, the advantages of the above method include reduced RS overhead and improved accuracy and completeness of CSI.

[0631] As an example, the measurement based on the first type of resource set includes channel information of P1 antenna ports, and the output of the first operation includes channel information of P2 antenna ports, where P1 and P2 are positive integers greater than 1, and P1 is less than P2.

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

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

[0634] As an example, the measurement based on the first type of resource set includes channel information of the first frequency domain resource, and the output of the first operation includes channel information of the second frequency domain resource, which includes frequency domain resources that do not belong to the first frequency domain resource.

[0635] As a sub-implementation of the above embodiments, the first frequency domain resource is a proper subset of the second frequency domain resource.

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

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

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

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

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

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

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

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

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

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

[0646] As an example, the executor for obtaining the training of the first operation is different from the sender of the configuration information reported by the first type of channel information.

[0647] As an example, the executor for obtaining the training of the first operation is different from the sender of the first type of resource set.

[0648] As an example, the first operation includes inference.

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

[0650] As an example, the first operation is a deduction.

[0651] As an example, the first operation is AI inference.

[0652] As an example, the first operation includes AI inference for CSI.

[0653] As an example, the first operation includes AI inference for beam prediction.

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

[0655] As an example, the first operation is AI inference for CSI.

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

[0657] As an example, the CSI prediction includes beam prediction.

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

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

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

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

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

[0663] As an example, the first operation includes a portion of an AI entity.

[0664] As an example, the first operation includes a portion of an AI entity used for inference.

[0665] As an example, the first operation includes an AI entity for CSI.

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

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

[0668] As an example, the first operation includes inference of AI entities for CSI.

[0669] As an example, the first operation includes inferences about AI entities used for CSI prediction, estimation, or compression.

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

[0671] As an example, the first operation is performed by an AI entity deployed on the first node.

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

[0673] As an example, the first operation is performed by an AI function deployed on the first node.

[0674] As one example, the AI ​​functionality includes AI inference capabilities.

[0675] As one example, the AI ​​functionality includes AI training functionality.

[0676] As one example, the AI ​​functionality includes AI management functionality.

[0677] As an example, the first operation is performed by the physical layer of the first node.

[0678] As an example, the first operation is performed at a higher level than the first node.

[0679] As an example, the first operation requires deployment.

[0680] As an example, the first operation is obtained by loading.

[0681] As an example, the first operation is obtained from the serving cell of the first node.

[0682] As an example, the first operation is obtained from the maintenance base station loading of the serving cell of the first node.

[0683] As an example, the first operation is obtained from the core network.

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

[0685] As an example, the first operation is based on a neural network.

[0686] As an example, the first operation includes CSI compression based on a neural network.

[0687] As one example, the first operation includes an encoder for CSI compression based on a neural network.

[0688] As an example, the first operation includes CNN-based CSI compression.

[0689] As an example, the first operation includes a CNN-based CSI compression encoder.

[0690] As an example, the output of the first operation is based on a non-codebook.

[0691] As an example, the output of the first operation does not belong to the CSI defined by 3GPP Rel-18, nor to the CSI defined in versions prior to 3GPP Rel-18.

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

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

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

[0695] As an example, the output of the first operation includes CSI.

[0696] As an example, the output of the first operation includes predicted beam information.

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

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

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

[0700] As an example, the output of the first operation includes one or more of the following: beam indicator, CRI (CSI-RS Resource Indicator), SS / PBCH Block Resource indicator (SSBRI), or RSRP (reference signal received power).

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

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

[0703] As an example, the output of the first operation includes small-scale characteristics.

[0704] As an example, the output of the first operation includes one or more of delay spread, Doppler spread, Doppler shift, average delay, and average gain.

[0705] As an example, the output of the first operation includes a channel matrix.

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

[0707] As an example, 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 an example, 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 / completeness.

[0710] As an example, the first node is a user (consumer).

[0711] As an example, the first node is the user of the AI ​​function.

[0712] As an example, the first node is the user of AI inference.

[0713] As an example, the first node is the user who trained the AI.

[0714] As an example, the first node is an MnS (Management Service) user.

[0715] As an example, the first node is the producer of AI inference.

[0716] As an example, the first node is the AI ​​training producer.

[0717] As one example, the first operation includes preprocessing.

[0718] As an example, the preprocessing includes DFT (Discrete Fourier Transform).

[0719] As an example, the preprocessing includes one or more of matrix decomposition, matrix transformation, and projection.

[0720] As an example, the preprocessing 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.

[0721] As one example, the preprocessing includes truncation and / or padding.

[0722] As one example, the preprocessing includes mapping.

[0723] As one example, the preprocessing includes mapping to vectors.

[0724] As one example, the preprocessing includes labeling.

[0725] As an example, the label refers to a mark made with a label.

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

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

[0728] As one example, the post-processing includes quantization.

[0729] As an example, the post-processing includes one or more of the following: angular domain to spatial domain transformation, spatial domain to angular domain transformation, time domain to frequency domain transformation, and frequency domain to time domain transformation.

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

[0731] As an example, the first operation includes one or more of convolution, pooling, cascading, and activation.

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

[0733] As an example, the first operation includes a pooling layer.

[0734] As one embodiment, the first operation includes at least one convolutional layer.

[0735] As an example, the first operation includes at least one encoding layer.

[0736] As an example, an encoding layer includes at least one convolutional layer and one pooling layer.

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

[0738] As an example, some or all of the following parameters in the first operation—convolution kernel size, number of convolutional layers, convolution stride, pooling kernel size, pooling kernel stride, pooling function, activation function, and number of feature maps—are obtained through training.

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

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

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

[0742] 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; an RS resource set for channel measurement includes one or more RS resources, and an RS resource set for interference measurement includes one or more RS resources; the input dependency of the first operation based on the measurement of the first type of resource set includes: the input dependency of the first operation based on the channel measurement and interference measurement obtained based on the first type of resource set.

[0743] As one embodiment, the input dependency of the first operation on a measurement based on the first type of resource set includes: the measurement based on the first type of resource set being used to generate the input of the first operation.

[0744] As one embodiment, the first type of resource set includes at least one RS resource set for channel measurement, and an RS resource set for channel measurement includes one or more RS resources; the input dependence of the first operation on the measurement based on the first type of resource set includes: the channel measurement obtained based on the first type of resource set is used to generate the input of the first operation.

[0745] As one embodiment, the first type of resource set includes at least one RS resource set for interference measurement, and an RS resource set for interference measurement includes one or more RS resources; the input dependence of the first operation on the measurement based on the first type of resource set includes: interference measurement obtained based on the first type of resource set is used to generate the input of the first operation.

[0746] 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; an RS resource set for channel measurement includes one or more RS resources, and an RS resource set for interference measurement includes one or more RS resources; the input dependence of the first operation on the measurement based on the first type of resource set includes: the channel measurement and interference measurement obtained based on the first type of resource set are used to generate the input of the first operation.

[0747] As an example, the channel measurement obtained based on the first type of resource set refers to the channel measurement obtained based on at least one reference signal transmitted in the first type of resource set.

[0748] As an example, the channel measurement obtained based on the first type of resource set refers to the channel measurement obtained in the first type of resource set.

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

[0750] As an example, the interference measurement obtained based on the first type of resource set refers to the interference measurement obtained in the first type of resource set.

[0751] As an example, the channel measurement obtained based on the first type of resource set includes a channel matrix.

[0752] As an example, the channel measurements obtained based on the first type of resource set include the raw channel matrix.

[0753] As an example, the channel measurement obtained based on the first type of resource set includes an eigenvector.

[0754] As an example, the channel measurement obtained based on the first type of resource set includes feature vectors and eigenvalues.

[0755] As an example, the channel measurements obtained based on the first type of resource set include one or more of BLER, delay spread, Doppler spread, Doppler shift, average delay, average gain, path loss, and RSRP.

[0756] As an example, the interference measurement obtained based on the first type of resource set includes at least one of interference power, interference variance, or interference power spectral density.

[0757] As an example, the interference measurement obtained based on the first type of resource set includes an interference channel matrix.

[0758] As an example, the interference measurement obtained based on the first type of resource set includes the interference covariance matrix.

[0759] As an example, the interference measurement obtained based on the first type of resource set includes an interference feature vector.

[0760] As an example, the interference measurement obtained based on the first type of resource set includes interference feature vectors and interference feature values.

[0761] As an example, the interference measurement obtained based on the first type of resource set includes interference beams.

[0762] Generally, how the first node determines the input of the first operation based on the measurement of the first type of resource set is determined by the equipment manufacturer. Some non-limiting implementation methods are described below:

[0763] As an example, the input to the first operation includes channel measurements obtained based on the first type of resource set.

[0764] As an example, the inputs to the first operation include channel measurements and interference measurements obtained based on the first type of resource set.

[0765] As an example, the input to the first operation includes interference measurements obtained based on the first type of resource set.

[0766] As an example, the interference measurement includes one or more of the following: interference power, interference variance, or interference power spectral density.

[0767] As an example, the input to the first operation includes a channel impulse response obtained based on measurements of the first type of resource set.

[0768] As an example, the input to the first operation includes a channel matrix obtained based on measurements of the first type of resource set.

[0769] As an example, the input to the first operation includes the eigenvectors and eigenvalues ​​of the channel matrix obtained based on measurements of the first type of resource set.

[0770] As an example, the input to the first operation includes a matrix or vector obtained by preprocessing the channel matrix obtained based on measurements for the first type of resource set.

[0771] As one embodiment, the first type of resource set includes at least one RS resource set for channel measurement, and an RS resource set for channel measurement includes one or more RS resources; the input dependency of the first operation based on the measurement of the first timing set includes: the input dependency of the first operation based on the channel measurement obtained from the first timing set.

[0772] As one embodiment, the first type of resource set includes at least one RS resource set for interference measurement, and an RS resource set for interference measurement includes one or more RS resources; the input dependency of the first operation based on the measurement of the first timing set includes: the input dependency of the first operation based on the interference measurement obtained from the first timing set.

[0773] 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; an RS resource set for channel measurement includes one or more RS resources, and an RS resource set for interference measurement includes one or more RS resources; the input dependency of the first operation based on the measurement of the first timing set includes: the input dependency of the first operation based on the channel measurement and interference measurement obtained from the first timing set.

[0774] As one embodiment, the input dependence of the first operation on measurements based on the first timing set includes: measurements based on the first timing set being used to generate the input of the first operation.

[0775] As one embodiment, the first type of resource set includes at least one RS resource set for channel measurement, and an RS resource set for channel measurement includes one or more RS resources; the input dependence of the first operation on the measurement based on the first timing set includes: channel measurements obtained based on the first timing set are used to generate the input of the first operation.

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

[0777] 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; an RS resource set for channel measurement includes one or more RS resources, and an RS resource set for interference measurement includes one or more RS resources; the input dependence of the first operation on the measurement based on the first timing set includes: the channel measurement and interference measurement obtained based on the first timing set are used to generate the input of the first operation.

[0778] As an example, the channel measurement obtained based on the first timing set refers to the channel measurement obtained based on at least one reference signal transmitted in the first timing set.

[0779] As an example, the channel measurement obtained based on the first timing set refers to the channel measurement obtained in the first timing set.

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

[0781] As an example, the interference measurement obtained based on the first timing set refers to the interference measurement obtained in the first timing set.

[0782] As one example, the channel measurements obtained based on the first timing set include a channel matrix.

[0783] As an example, the channel measurements obtained based on the first timing set include the raw channel matrix.

[0784] As an example, the channel measurement obtained based on the first timing set includes an eigenvector.

[0785] As an example, the channel measurements obtained based on the first timing set include feature vectors and eigenvalues.

[0786] As an example, the channel measurements obtained based on the first timing set include one or more of BLER, delay spread, Doppler spread, Doppler shift, average delay, average gain, path loss, and RSRP.

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

[0788] As an example, the interference measurement obtained based on the first timing set includes an interference channel matrix.

[0789] As an example, the interference measurement obtained based on the first timing set includes the interference covariance matrix.

[0790] As an example, the interference measurement obtained based on the first timing set includes an interference feature vector.

[0791] As an example, the interference measurement obtained based on the first timing set includes interference feature vectors and interference feature values.

[0792] As an example, the interference measurement obtained based on the first timing set includes the interference beam.

[0793] Generally, how the first node determines the input of the first operation based on the measurement of the first timing set is determined by the equipment manufacturer. Some non-limiting implementation methods are described below:

[0794] As an example, the input to the first operation includes channel measurements obtained based on the first timing set.

[0795] As an example, the inputs to the first operation include channel measurements and interference measurements obtained based on the first timing set.

[0796] As an example, the input to the first operation includes interference measurements obtained based on the first timing set.

[0797] As an example, the interference measurement includes one or more of the following: interference power, interference variance, or interference power spectral density.

[0798] As an example, the input to the first operation includes a channel impulse response obtained based on measurements for the first timing set.

[0799] As an example, the input to the first operation includes a channel matrix obtained based on measurements for the first timing set.

[0800] As an example, the input to the first operation includes the eigenvectors and eigenvalues ​​of the channel matrix obtained based on measurements for the first timing set.

[0801] As an example, the input to the first operation includes a matrix or vector obtained by preprocessing the channel matrix based on measurements for the first timing set.

[0802] As an example, the channel matrix is ​​in the spatial-frequency domain.

[0803] As an example, the channel matrix is ​​in the angular-delay domain projection.

[0804] As an example, the preprocessing includes one or more of the following: 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.

[0805] As one example, the preprocessing includes one or more of matrix decomposition, matrix transformation, or projection.

[0806] As one example, the preprocessing includes quantization.

[0807] As one example, the preprocessing includes DFT.

[0808] As an example, the preprocessing 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.

[0809] As one example, the preprocessing includes truncation and / or padding.

[0810] As one example, the preprocessing includes mapping.

[0811] As one example, the preprocessing includes mapping to vectors.

[0812] As one example, the preprocessing includes labeling.

[0813] As an example, the label refers to a mark made with a label.

[0814] As an example, the generation of the first type of channel information reporting depends on the measurement of a first timing set, which includes at least one transmission timing of at least one RS resource in the first type of resource set.

[0815] As one embodiment, the first type of resource set includes at least one RS resource set for channel measurement, and an RS resource set for channel measurement includes one or more RS resources; the generation dependency of the first type of channel information reporting based on the measurement of the first timing set includes: the generation dependency of the first type of channel information reporting based on the channel measurement obtained from the first timing set.

[0816] As one embodiment, the first type of resource set includes at least one RS resource set for interference measurement, and an RS resource set for interference measurement includes one or more RS resources; the generation dependency of the first type of channel information reporting based on the measurement of the first timing set includes: the generation dependency of the first type of channel information reporting based on the interference measurement obtained from the first timing set.

[0817] 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; an RS resource set for channel measurement includes one or more RS resources, and an RS resource set for interference measurement includes one or more RS resources; the generation dependency of the first type of channel information reporting based on the measurement of the first timing set includes: the generation dependency of the first type of channel information reporting based on the channel measurement and interference measurement obtained from the first timing set.

[0818] As one embodiment, the generation of the first type of channel information report depends on measurements based on a first timing set, including: measurements based on the first timing set are used to generate the first type of channel information report.

[0819] As one embodiment, the first type of resource set includes at least one RS resource set for channel measurement, and an RS resource set for channel measurement includes one or more RS resources; the generation of the first type of channel information reporting depends on the measurement based on the first timing set, including: channel measurements obtained based on the first timing set are used to generate the first type of channel information reporting.

[0820] As one embodiment, the first type of resource set includes at least one RS resource set for interference measurement, and an RS resource set for interference measurement includes one or more RS resources; the generation of the first type of channel information reporting depends on the measurement based on the first timing set, including: interference measurements obtained based on the first timing set are used to generate the first type of channel information reporting.

[0821] 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; an RS resource set for channel measurement includes one or more RS resources, and an RS resource set for interference measurement includes one or more RS resources; the generation of the first type of channel information reporting depends on measurements based on the first timing set, including: the channel measurements and interference measurements obtained based on the first timing set are used to generate the first type of channel information reporting.

[0822] As an example, the first timing set includes at least one transmission timing of at least one RS resource in the first type of resource set that is no later than the CSI reference resource.

[0823] As an example, the first timing set includes the most recent transmission timing of at least one RS resource in the first type of resource set that is no later than the CSI reference resource.

[0824] As an example, the first timing set includes one or more recent transmission timings of at least one RS resource in the first type of resource set that are no later than the CSI reference resource.

[0825] As an example, the first timing set includes all transmission timings of at least one RS resource in the first type of resource set that are no later than the CSI reference resource.

[0826] As one embodiment, the first timing set includes the most recent transmission timing of each RS resource in some or all of the RS resources in the first type of resource set, no later than the CSI reference resource.

[0827] As one embodiment, the first timing set includes one or more recent transmission timings of each RS resource in some or all of the RS resources in the first type of resource set that are no later than the CSI reference resource.

[0828] As one embodiment, the first timing set includes all transmission timings of each RS resource in some or all of the RS resources in the first type of resource set that are no later than the CSI reference resource.

[0829] As an example, the channel measurement obtained based on the first timing set refers to the channel measurement obtained based on at least one reference signal transmitted in the first timing set.

[0830] As an example, the channel measurement obtained based on the first timing set refers to the channel measurement obtained in the first timing set.

[0831] As an example, the interference measurement obtained based on the first timing set refers to the interference measurement obtained based on at least one reference signal transmitted in the first timing set.

[0832] As an example, the interference measurement obtained based on the first timing set refers to the interference measurement obtained in the first timing set.

[0833] As one example, the channel measurements obtained based on the first timing set include a channel matrix.

[0834] As an example, the channel measurements obtained based on the first timing set include the raw channel matrix.

[0835] As an example, the channel measurement obtained based on the first timing set includes an eigenvector.

[0836] As an example, the channel measurements obtained based on the first timing set include feature vectors and eigenvalues.

[0837] As an example, the channel measurements obtained based on the first timing set include one or more of BLER, delay spread, Doppler spread, Doppler shift, average delay, average gain, path loss, and RSRP.

[0838] As an example, the interference measurement obtained based on the first timing set includes at least one of interference power, interference variance, or interference power spectral density.

[0839] As an example, the interference measurement obtained based on the first timing set includes an interference channel matrix.

[0840] As an example, the interference measurement obtained based on the first timing set includes the interference covariance matrix.

[0841] As an example, the interference measurement obtained based on the first timing set includes an interference feature vector.

[0842] As an example, the interference measurement obtained based on the first timing set includes interference feature vectors and interference feature values.

[0843] As an example, the interference measurement obtained based on the first timing set includes the interference beam.

[0844] Generally, the method by which the first node generates the first type of channel information report based on the measurement of the first timing set is determined by the equipment manufacturer. Some non-limiting implementation methods are described below:

[0845] As one embodiment, the measurement based on the first timing set includes channel measurements obtained based on the first timing set.

[0846] As one embodiment, the measurement based on the first timing set includes channel measurements and interference measurements obtained based on the first timing set.

[0847] As one embodiment, the measurement based on the first timing set includes interference measurements obtained based on the first timing set.

[0848] As an example, the interference measurement includes one or more of the following: interference power, interference variance, or interference power spectral density.

[0849] As one embodiment, the measurement based on the first timing set includes the channel impulse response obtained based on the measurement for the first timing set.

[0850] As one embodiment, the measurement based on the first timing set includes a channel matrix obtained based on the measurement for the first timing set.

[0851] As one embodiment, the measurement based on the first timing set includes the eigenvectors and eigenvalues ​​of the channel matrix obtained based on the measurement for the first timing set.

[0852] As one embodiment, the measurement based on the first timing set includes a matrix or vector obtained by preprocessing the channel matrix obtained based on the measurement for the first timing set.

[0853] As an example, the channel matrix is ​​in the spatial-frequency domain.

[0854] As an example, the channel matrix is ​​in the angular-delay domain projection.

[0855] As an example, the preprocessing includes one or more of the following: 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 example, the preprocessing includes one or more of matrix decomposition, matrix transformation, or projection.

[0857] As one example, the preprocessing includes quantization.

[0858] As one example, the preprocessing includes DFT.

[0859] As an example, the preprocessing 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 example, the preprocessing includes truncation and / or padding.

[0861] As one example, the preprocessing includes mapping.

[0862] As one example, the preprocessing includes mapping to vectors.

[0863] As one example, the preprocessing includes labeling.

[0864] As an example, the label refers to a mark made with a label.

[0865] In embodiment 10C, the association of a first type of channel information report with a first type of identifier includes: the generation method of the first type of channel information report uses an AI model identified by the first type of identifier, or the first type of channel information report is generated by an AI entity identified by the first type of identifier, or the first type of channel information report is used for an AI function identified by the first type of identifier.

[0866] As an example, the generation method of the first type of channel information reporting uses an AI model identified by the first type of identifier.

[0867] As an example, the first type of channel information reporting is generated by the AI ​​entity identified by the first type of identifier.

[0868] As an example, the first type of channel information reporting is used for AI functions identified by the first type of identifier.

[0869] Example 11

[0870] Example 11 illustrates a schematic diagram of N types of first-class channel information reporting according to an embodiment of this application; as shown in the appendix. Figure 11 As stated above.

[0871] In Example 11, the N first-type channel information reports begin occupying processing units on the same symbol; or, calculation or generation for the N first-type channel information reports begins on the same symbol. (See Appendix) Figure 11 In the text, symbol #1 is the same symbol as described above.

[0872] As an example, the symbol is a single-carrier symbol.

[0873] As an example, the symbol is a multi-carrier symbol.

[0874] As an example, the symbol is the 5G symbol.

[0875] As an example, the symbol is a 6G single-carrier symbol.

[0876] As an example, the symbol is a 6G multi-carrier symbol.

[0877] As an example, the multicarrier symbol is an OFDM (Orthogonal Frequency Division Multiplexing) symbol.

[0878] As an example, the symbols are obtained by passing the output of the transform precoding through OFDM symbol generation.

[0879] As an example, the multi-carrier symbol is an SC-FDMA (Single Carrier-Frequency Division Multiple Access) symbol.

[0880] As an example, the multicarrier symbol is a DFT-S-OFDM (Discrete Fourier Transform Spread OFDM) symbol.

[0881] As an example, the multi-carrier symbol is an FBMC (Filter Bank Multi Carrier) symbol.

[0882] As one embodiment, the multicarrier symbol includes CP (Cyclic Prefix).

[0883] As an example, the N first-type channel information reports begin to occupy processing units on the same symbol.

[0884] As an example, the calculation or generation of the N first-type channel information reports begins on the same symbols.

[0885] As one embodiment, the processing unit is a CSI Processing Unit (CPU).

[0886] As an example, the calculation or generation of CSI occupies at least one processing unit.

[0887] As an example, the calculation or generation of the first type of channel information reporting occupies at least one processing unit.

[0888] As an example, a first-type channel information report occupies at least one processing unit.

[0889] As an example, a first type of channel information report occupies at least one processing unit. The number of processing units occupied by a first type of channel information report depends on at least one of the following: the reporting amount, the reporting type, the number of RS resources in the first type of resource set, or the number of resources in the second type of resource set.

[0890] As an example, the number of RS resources in the first type of resource set is the number of RS resources used for channel measurement in the first type of resource set.

[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] Examples 12A-12B

[0893] Examples 12A-12B illustrate schematic diagrams of reporting M types of first-class channel information according to an embodiment of this application; as shown in the appendix. Figure 12A-12B As shown. In the appendix Figure 12A-12B In the above, the first type of channel information report #1, ..., the first type of channel information report #N are N first type of channel information reports; the first type of channel information report #i1, ..., the first type of channel information report #iM are M first type of channel information reports among the N first type of channel information reports.

[0894] In Example 12A, the M first-type channel information reports include first-type channel information reports that meet the reference conditions from the N first-type channel information reports; the reference conditions include: the associated first-type identifier is the default value among the first-type identifiers associated with the N first-type channel information reports respectively.

[0895] As an example, the default value of the first type identifier associated with each of the N first type channel information reports refers to the minimum value among the first type identifiers associated with each of the N first type channel information reports.

[0896] As an example, the default value in the first type identifier associated with each of the N first type channel information reports refers to the maximum value in the first type identifier associated with each of the N first type channel information reports.

[0897] As an example, the default values ​​in the first type identifiers associated with the N first type channel information reports are configurable.

[0898] As an example, the default values ​​in the first-type identifiers associated with the N first-type channel information reports are predefined.

[0899] In Example 12B, the determination of the first type identifier associated with the first reference report is dependent on the M first type channel information reports, and the first reference report is one of the N first type channel information reports.

[0900] As an example, the first type identifier associated with the first reference report is used to determine the M first type channel information reports from the N first type channel information reports.

[0901] As an example, the first type identifier associated with the first reference report is used to determine NM first type channel information reports from the N first type channel information reports, wherein the M first type channel information reports consist of first type channel information reports other than the NM first type channel information reports from the N first type channel information reports.

[0902] As an example, the determination of at least one of the M first-type channel information reports depends on the first-type identifier associated with the first reference report.

[0903] As an example, the determination of only a portion of the first-type channel information reports in the M first-type channel information reports depends on the first-type identifier associated with the first reference report.

[0904] As an example, the determination of each of the M first-type channel information reports depends on the first-type identifier associated with the first reference report.

[0905] As an example, the first reference report is the highest priority first-type channel information report among the N first-type channel information reports.

[0906] As an example, the first reference report is a first-type channel information report associated with the smallest first-type identifier among the N first-type channel information reports.

[0907] As an example, the first type identifier associated with the first reference report is the minimum value among the first type identifiers associated with the N first type channel information reports respectively.

[0908] As an example, the first reference report is a first-type channel information report associated with the largest first-type identifier among the N first-type channel information reports.

[0909] As an example, the first type identifier associated with the first reference report is the maximum value among the first type identifiers associated with the N first type channel information reports respectively.

[0910] As an example, the first reference report is the earliest activated or triggered first-type channel information report among the N first-type channel information reports.

[0911] As an example, the first reference report is the latest activated or triggered first-type channel information report among the N first-type channel information reports.

[0912] As an example, the first reference report is the earliest of the N first-type channel information reports.

[0913] As an example, the first reference report is the latest of the N first-type channel information reports.

[0914] As an example, the first reference report is the first type of channel information report among the N type of channel information reports.

[0915] As an example, the N first-type channel information reports correspond to N second-type identifiers, and the first reference report is a first-type channel information report that corresponds to the minimum value among the N first-type channel information reports and the N second-type identifiers.

[0916] As an example, the N first-type channel information reports correspond to N second-type identifiers, and the first reference report is a first-type channel information report that corresponds to the maximum value among the N second-type identifiers.

[0917] As an example, a second-type identifier corresponding to a first-type channel information report is used to identify the configuration information of the first-type channel information report.

[0918] As an example, a second-type identifier corresponding to a first-type channel information report is used to identify the serving cell where the first-type channel information report is located.

[0919] As an example, a second-type identifier corresponding to a first-type channel information report is used to identify the BWP (bandwidth part) where the first-type channel information report is located.

[0920] As an example, a second-type identifier corresponding to a first-type channel information report is used to identify the control resource set (CORESET) that triggers the first-type channel information report.

[0921] As an example, a second-type identifier corresponding to a first-type channel information report is used to identify the CORESET pool that triggered the first-type channel information report.

[0922] As an example, a second-type identifier corresponding to a first-type channel information report is used to identify the search space that triggers the first-type channel information report.

[0923] As an example, a second-type identifier corresponding to a first-type channel information report is used to identify the search space that triggers the first-type channel information report.

[0924] As an example, the priority of a first-class channel information report is configurable.

[0925] As an example, the priority of a first-class channel information report is calculated using a formula.

[0926] As an example, the priority in a first type of channel information reporting depends on at least one of the following: the identifier of the configuration information of the first type of channel information reporting, the serving cell, the reporting amount, or the reporting type.

[0927] Examples 13A-13B

[0928] Examples 13A-13B illustrate schematic diagrams of M types of first-class channel information reporting according to another embodiment of this application; as shown in the appendix. Figures 13A-13B As shown.

[0929] In Embodiment 13A, the M first-type channel information reports include at least one first-type channel information report from the N first-type channel information reports that satisfies a first condition; the first condition includes: the associated first-type identifier and the first-type identifier associated with the first reference report are the same; the first reference report is one of the N first-type channel information reports. (See Appendix...) Figure 13A In the above, the first type of channel information report #1, ..., the first type of channel information report #N are N first type of channel information reports; the first type of channel information report #i1, ..., the first type of channel information report #iM are M first type of channel information reports among the N first type of channel information reports.

[0930] 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 among the N first-type identifiers is greater than 1.

[0931] As an example, the M first-type channel information reports consist of at least one first-type channel information report that satisfies the first condition from the N first-type channel information reports.

[0932] As an example, each of the M first-type channel information reports satisfies the first condition.

[0933] As an example, in the above method, the number of simultaneous AI models or the first operation in this application supported is 1.

[0934] As an example, in the above method, the first maximum integer in this application is equal to 1.

[0935] As an example, some of the M first-type channel information reports include at least one first-type channel information report from the N first-type channel information reports that satisfies the first condition.

[0936] As an example, some of the first-type channel information reports in the M first-type channel information reports satisfy the first condition.

[0937] As an example, the first target reporting group includes each first type of channel information report that satisfies the first condition from the N first type of channel information reports; the first reference reporting group includes all first type of channel information reports other than the first target reporting group from the N first type of channel information reports; the M first type of channel information reports include at least one first type of channel information report from the first target reporting group and the first reference reporting group.

[0938] As an example, the first target reporting group includes each first type of channel information report that satisfies the first condition from the N first type of channel information reports; the first reference reporting group includes all first type of channel information reports other than the first target reporting group from the N first type of channel information reports; the M first type of channel information reports include at least one first type of channel information report with the highest priority from the first target reporting group and the first reference reporting group.

[0939] As an example, in the above method, the number of simultaneous AI models supported or the first operation in this application is greater than 1.

[0940] As an example, in the above method, the first maximum integer in this application is greater than 1.

[0941] In Example 13B, the M first-type channel information reports include at least one or each of the N first-type channel information reports that satisfy the first condition; the M first-type channel information reports also include at least one first-type channel information report that satisfies the second condition from the N first-type channel information reports; wherein,

[0942] The first condition includes: the associated first-type identifier and the first-type identifier associated with the first reference report are the same; the first reference report is one of the N first-type channel information reports;

[0943] The second condition includes: the associated first-type identifier and the first-type identifier associated with the second reference report are the same; 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 the appendix Figure 13B In the above, the first type of channel information report #1, ..., the first type of channel information report #N are N first type of channel information reports; the first type of channel information report #i is a first type of channel information report that satisfies the first condition, and the first type of channel information report #j is a first type of channel information report that satisfies 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 among 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 among the N first-type identifiers is greater than 2.

[0947] As an example, the M first-type channel information reports include each first-type channel information report that satisfies the first condition from the N first-type channel information reports; the M first-type channel information reports also include at least one first-type channel information report that satisfies the second condition from the N first-type channel information reports.

[0948] As an example, the M first-type channel information reports include at least one first-type channel information report that satisfies a first condition from the N first-type channel information reports; the M first-type channel information reports also include at least one first-type channel information report that satisfies a second condition from the N first-type channel information reports.

[0949] As an example, determining the M first-type channel information reports includes: firstly, determining a first target reporting group, which includes each first-type channel information report that satisfies a first condition from the N first-type channel information reports; then, determining a second target reporting group from a first reference reporting group, which includes all first-type channel information reports other than the first target reporting group from the N first-type channel information reports, and the second target reporting group includes at least one first-type channel information report that satisfies the second condition from the first reference reporting group; the M first-type channel information reports include all first-type channel information reports from the first target reporting group and the second target reporting group.

[0950] As an example, the first target reporting group includes each first type of channel information report that meets the first condition from the N first type of channel information reports; the first reference reporting group includes all first type of channel information reports other than the first target reporting group from the N first type of channel information reports; and the second reference report is the first type of channel information report with the highest priority in the first reference reporting group.

[0951] As an example, the first target reporting group includes each first type of channel information report that satisfies the first condition from the N first type of channel information reports; the first reference reporting group includes all first type of channel information reports other than the first target reporting group from the N first type of channel information reports; and the second reference report is the first type of channel information report with the smallest associated first type identifier in the first reference reporting group.

[0952] As an example, the first target reporting group includes each first type of channel information report that satisfies the first condition among the N first type of channel information reports; the first reference reporting group includes all first type of channel information reports other than the first target reporting group among the N first type of channel information reports; the first type identifier associated with the second reference report is the minimum value among the first type identifiers associated with all first type of channel information reports in the first reference reporting group.

[0953] As an example, the first target reporting group includes each first type of channel information report that meets the first condition from the N first type of channel information reports; the first reference reporting group includes all first type of channel information reports other than the first target reporting group from the N first type of channel information reports; and the second reference report is the first type of channel information report with the largest associated first type identifier in the first reference reporting group.

[0954] As an example, the first target reporting group includes each first type of channel information report that satisfies the first condition from the N first type of channel information reports; the first reference reporting group includes all first type of channel information reports other than the first target reporting group from the N first type of channel information reports; the first type identifier associated with the second reference report is the maximum value among the first type identifiers associated with all first type of channel information reports in the first reference reporting group.

[0955] As an example, the first target reporting group includes each first type of channel information report that meets the first condition among the N first type of channel information reports; the first reference reporting group includes all first type of channel information reports other than the first target reporting group among the N first type of channel information reports; and the second reference report is the earliest activated or triggered first type of channel information report in the first reference reporting group.

[0956] As an example, the first target reporting group includes each of the N first type channel information reports that meets the first condition; the first reference reporting group includes all first type channel information reports other than the first target reporting group among the N first type channel information reports; and the second reference report is the latest first type channel information report that is activated or triggered in the first reference reporting group.

[0957] As an example, the first target reporting group includes each first type of channel information report that meets the first condition among the N first type of channel information reports; the first reference reporting group includes all first type of channel information reports other than the first target reporting group among the N first type of channel information reports; and the second reference report is the earliest first type of channel information report in the first reference reporting group.

[0958] As an example, the first target reporting group includes each of the N first type channel information reports that meets the first condition; the first reference reporting group includes all first type channel information reports other than the first target reporting group among the N first type channel information reports; and the second reference report is the latest first type channel information report in the first reference reporting group.

[0959] As an example, the first target reporting group includes each first type of channel information report that meets the first condition among the N first type of channel information reports; the first reference reporting group includes all first type of channel information reports other than the first target reporting group among the N first type of channel information reports; and the second reference report is the first first type of channel information report in the first reference reporting group.

[0960] As an example, the first target reporting group includes each first type of channel information report that satisfies the first condition among the N first type of channel information reports; the first reference reporting group includes all first type of channel information reports other than the first target reporting group among the N first type of channel information reports; each first type of channel information report in the first reference reporting group corresponds to a second type identifier, and the second reference report is the first type of channel information report with the smallest corresponding second type identifier in the first reference reporting group.

[0961] As an example, the first target reporting group includes each first type of channel information report that meets the first condition from the N first type of channel information reports; the first reference reporting group includes all first type of channel information reports other than the first target reporting group from the N first type of channel information reports; each first type of channel information report in the first reference reporting group corresponds to a second type identifier, and the second reference report is the first type of channel information report with the largest corresponding second type identifier in the first reference reporting group.

[0962] As an example, in the above method, the number of simultaneous AI models supported or the first operation in this application is 2.

[0963] As an example, in the above method, the number of simultaneous AI models supported or the first operation in this application is greater than 1.

[0964] As an example, in the above method, the first maximum integer in this application is 2.

[0965] As an example, in the above method, the first maximum integer in this application is greater than 1.

[0966] Example 14

[0967] Example 14 illustrates a schematic diagram of the relationship between M first-type channel information reports and a third condition according to an embodiment of this application; as shown in the appendix. Figure 14 As shown.

[0968] In Example 14, 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.

[0969] As an example, the first reference positive integer is a positive integer.

[0970] As an example, the first reference positive integer is reported by the first node.

[0971] As one embodiment, the first reference positive integer is indicated by the first node to the sender of the first information set.

[0972] As an example, the first reference positive integer is indicated to the first node by the sender of the first information set.

[0973] As an example, the first reference positive integer is indicated by the first node via the parameter simultaneousCSI-ReportsPerCC or simultaneousCSI-ReportsAllCC.

[0974] As an example, the first reference positive integer is the total number of unoccupied processing units.

[0975] As one embodiment, the first reference positive integer is equal to or less than the total number of processing units.

[0976] As an example, the first reference positive integer is N. CPU -L, where N CPU L represents the number of supported simultaneous CSI calculations, where L is the total number of processing units that are already in use.

[0977] As an example, the first reference positive integer is the number of supported simultaneous CSI calculations or generation.

[0978] As one embodiment, the M first-type channel information reports include at least one first-type channel information report from 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: the associated first-type identifier and the first-type identifier associated with the 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 the first reference positive integer.

[0981] As an example, the first target reporting group includes each of the N first-type channel information reports that satisfies the first condition; the first reference reporting group includes all first-type channel information reports other than the first target reporting group among the N first-type channel information reports; the M first-type channel information reports include at least one first-type channel information report from the first target reporting group and the first reference reporting 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 one embodiment, the M first-type channel information reports include at least one or each of the N first-type channel information reports that satisfy a first condition; the M first-type channel information reports also include at least one first-type channel information report that satisfies a second condition from the N first-type channel information reports; the M first-type channel information reports satisfy a third condition; wherein,

[0983] The first condition includes: the associated first-type identifier and the first-type identifier associated with the first reference report are the same; the first reference report is one of the N first-type channel information reports;

[0984] The second condition includes: the associated first-type identifier and the first-type identifier associated with the second reference report are the same; 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 includes that the total number of processing units occupied by the M first-type channel information reports is less than or equal to the first reference positive integer.

[0986] As an example, M is the largest integer that is not greater than N and satisfies the third condition.

[0987] In the above method, as many Type I channel information reports as possible are processed without exceeding the total number of processing units.

[0988] Example 15

[0989] Example 15 illustrates a schematic diagram of the relationship between M first-type channel information reports and a fourth condition according to an embodiment of this application; as shown in the attached diagram. Figure 15 As shown. In the appendix Figure 15In the diagram, the first type of channel information report #1, ..., the first type of channel information report #M are M first type of channel information reports, and the first type identifier #1, ..., the first type identifier #M are M first type identifiers.

[0990] In Example 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, 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.

[0991] As an example, the first maximum integer is a positive integer.

[0992] As an example, the first maximum integer is reported by the first node.

[0993] As one embodiment, the first maximum integer is indicated by the first node to the sender of the first information set.

[0994] As one embodiment, the first maximum integer is indicated to the first node by the sender of the first information set.

[0995] As an example, the ability to report that the first largest integer belongs to the first node is reported.

[0996] As an example, the first maximum integer is indicated by the capability parameter of the first node.

[0997] As an example, the first maximum integer is the number of simultaneous AI models supported.

[0998] As an example, the first maximum integer is the number of simultaneous first operations supported.

[0999] As an example, the first maximum integer is equal to 1, and the M first-type channel information reports are composed of at least one first-type channel information report among the N first-type channel information reports that satisfies a first condition; the first condition includes: the associated first-type identifier and the first-type identifier associated with the first reference report are the same; the first reference report is one of the N first-type channel information reports.

[1000] As an example, the first maximum integer is equal to or greater than 2, and the M first-type channel information reports are composed of at least one first-type channel information report among the N first-type channel information reports that satisfies a first condition; the first condition includes: the associated first-type identifier and the first-type identifier associated with the first reference report are the same; the first reference report is one of the N first-type channel information reports.

[1001] As an example, the first maximum integer is equal to 2; the M first-type channel information reports include at least one first-type channel information report satisfying the first condition from the N first-type channel information reports; the M first-type channel information reports also include at least one first-type channel information report satisfying the second condition from the N first-type channel information reports; wherein,

[1002] The first condition includes: the associated first-type identifier and the first-type identifier associated with the first reference report are the same; the first reference report is one of the N first-type channel information reports;

[1003] The second condition includes: the associated first-type identifier and the first-type identifier associated with the second reference report are the same; 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.

[1004] Example 16

[1005] Example 16 illustrates a schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of this application; as shown in the appendix. Figure 16 As shown. (Attached) Figure 16 (a) Includes the third, fourth, and fifth processors, with appendices Figure 16 (b) Includes the third, fourth, fifth and sixth processors.

[1006] In Example 16(a), the third processor sends a first dataset to the fourth processor and a second dataset to the fifth processor; the fourth processor generates a target first-class parameter set based on the first dataset, and sends the generated target first-class parameter set to the fifth processor; the fifth processor processes the second dataset using the target first-class parameter set to obtain a first-class output. (See Appendix...) Figure 16 (a) The first type of feedback is optional.

[1007] In Example 16(b), the third processor sends a first dataset to the fourth processor and a second dataset to the fifth processor; the fourth processor generates a target first-class parameter set based on the first dataset, and sends the generated target first-class parameter set to the fifth processor; the fifth processor processes the second dataset using the target first-class parameter set to obtain a first-class output, and sends the first-class output to the sixth processor. (See Appendix...) Figure 16 (b) First type of feedback and second type of feedback are optional.

[1008] As an example, Appendix Figure 16 In (a), the fifth processor sends the first type of output to the second node in this application.

[1009] As an example, Appendix Figure 16 (a) A single-side AI model is used for beam prediction or channel information prediction, and the fifth processor executes the first operation, which is used for beam prediction or channel information prediction.

[1010] As an example, Appendix Figure 16 (b) A two-sided AI model is used for CSI compression, the first operation is used to compress CSI, the second operation is used to restore CSI, the fifth processor executes the first operation, and the sixth processor includes the second operation.

[1011] As an example, the AI ​​includes machine learning (ML) inference.

[1012] As an example, the fifth processor performs the first operation.

[1013] As one embodiment, the sixth processor includes the second operation.

[1014] As an example, the fifth processor sends a first type of feedback to the fourth processor, and the first type of feedback is used to trigger a recalculation or update of the target first type of parameter group.

[1015] As one embodiment, the sixth processor sends a second type of feedback to the third processor, the second type of feedback being used to generate the first dataset or the second dataset, or the second type of feedback being used to trigger the sending of the first dataset or the second dataset.

[1016] As one embodiment, the third processor generates the first dataset and the second dataset based on measurements of a first type of wireless signal, the first type of wireless signal including downlink RS.

[1017] As one embodiment, the fifth processor belongs to the first node, and the sixth processor belongs to the second node.

[1018] As an example, the first type of channel information reporting belongs to the first type of output.

[1019] As an example, the second dataset includes the input of the first operation.

[1020] As an example, the second dataset includes information obtained based on the first configuration and the M1 configurations.

[1021] As an example, the first dataset includes training data.

[1022] As an example, the fourth processor belongs to the producer of the first operation.

[1023] As one embodiment, the fourth processor includes an AI training producer.

[1024] As one embodiment, the fourth processor includes an AI training function.

[1025] As an example, the fourth processor is used for model training, and the trained model is described by the target first class of parameter sets.

[1026] As an example, the fourth processor belongs to the first node.

[1027] The above embodiments avoid passing the first dataset to the second node.

[1028] As one example, the fourth processor belongs to the second node.

[1029] The above embodiments support joint training and optimize system performance.

[1030] As an example, the fourth processor belongs to the core network.

[1031] The above embodiments support network-wide joint training, further optimizing system performance.

[1032] As an example, the second dataset includes inference data.

[1033] As one embodiment, the fifth processor includes an AI inference producer.

[1034] As one embodiment, the fifth processor includes an AI inference function.

[1035] As an example, the fifth processor belongs to the first node.

[1036] As an example, the fifth processor constructs a model based on the target first type of parameter group, and then inputs the second dataset into the constructed model to obtain the first type of output.

[1037] As an example, the first operation is described by the target first type of parameter group.

[1038] As an example, the target first type of parameter group is used to construct the first operation.

[1039] As one embodiment, the fifth processor includes the second operation.

[1040] As an example, the fifth processor generates a recovery dataset based on the first type of output, and the error between the recovery dataset and the second dataset is used to generate the first type of feedback.

[1041] As a sub-example of the above embodiment, the generation of the recovery dataset adopts a similar operation to the second one.

[1042] As an example, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model fails to meet the requirements, the fourth processing opportunity recalculates the target first type of parameter set.

[1043] As an example, when the error is too large or the update has not been performed for too long, the performance of the trained model is considered to be unsatisfactory.

[1044] As an example, the target first type of parameter group includes one or more of the following: convolution kernel size, number of convolution layers, convolution stride, pooling kernel size, pooling kernel stride, pooling function, activation function, or number of feature maps.

[1045] As an example, the target first type of parameter group includes one or more of the following: convolution kernel, pooling kernel, pooling function, activation function, parameters of pooling function, or parameters of activation function.

[1046] Example 17

[1047] Example 17 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of this application; as shown in the appendix. Figure 17 As shown. (Attached) Figure 17 This includes a third, fourth, fifth, sixth, and seventh operation. In Example 17, the third and fourth operations belong to the first stage, the fifth operation belongs to the second stage, the sixth operation belongs to the third stage, and the seventh operation belongs to the fourth stage. (See Appendix...) Figure 17 In the diagram, the lines with arrows indicate the sequence of processes.

[1048] As an example, 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 an example, the first stage includes a training phase, the second stage includes an emulation phase, the third stage includes a deployment phase, and the fourth stage includes an emulation phase.

[1050] As an example, the first stage includes AI model training.

[1051] As an example, the first stage includes AI model training and AI testing.

[1052] As an example, the AI ​​includes machine learning (ML) inference.

[1053] As an example, the AI ​​model training includes initial training and re-training of one or a group of AI entities.

[1054] As an example, the training of the AI ​​model depends on training data.

[1055] As an example, the AI ​​model training includes AI entity validation.

[1056] As an example, the AI ​​entity verification is used to evaluate the performance of the AI ​​entity.

[1057] As an example, the AI ​​entity verification relies on verification data.

[1058] As an example, if the AI ​​entity verification results do not meet expectations, the AI ​​model will be retrained.

[1059] As an example, the AI ​​testing includes testing the validated AI entity to estimate the performance of the trained AI model.

[1060] As an example, if the AI ​​test results meet expectations, the AI ​​entity proceeds to the next stage; otherwise, the AI ​​model will be retrained.

[1061] As an example, the AI ​​test relies on test data.

[1062] As an example, the second stage includes AI simulation, which performs inference of AI entities in a simulation environment.

[1063] As an example, the AI ​​simulation estimates the performance of AI entity inference in a simulation environment before using the AI ​​entity.

[1064] As one embodiment, the second stage is optional.

[1065] As an example, the third stage includes AI entity loading, which is to obtain trained AI entities to obtain the desired AI inference capabilities.

[1066] As an example, the third stage is optional.

[1067] As an example, the third stage is no longer needed when the training and inference functions are co-located.

[1068] As an example, the fourth stage includes AI inference.

[1069] As an example, the seventh operation includes the first operation.

[1070] As an example, the seventh operation includes the second operation.

[1071] Example 18

[1072] Example 18 illustrates a structural block diagram of a processing apparatus for a first node according to an embodiment of this application; as shown in the appendix. Figure 18 As shown. In the appendix Figure 18 In the first node, the processing device 1800 includes a first receiver 1801 and a first processor 1802.

[1073] As one example, the first node is a user equipment.

[1074] As an example, the first node is a relay node device.

[1075] As an example, the first receiver 1801 includes at least one of the following in embodiment 4: {antenna 452, receiver 454, receiver processor 456, multi-antenna receiver processor 458, controller / processor 459, memory 460, data source 467}.

[1076] As an example, the first processor 1802 includes at least one of the following in embodiment 4: {antenna 452, receiver / transmitter 454, receiving processor 456, transmitting processor 468, multi-antenna receiving processor 458, multi-antenna transmitting processor 457, controller / processor 459, memory 460, data source 467}.

[1077] The first receiver 1801 receives a first information set, which is used to configure N first-type channel information reports, where N is a positive integer greater than 1, and one first-type channel information report is associated with a first-type identifier.

[1078] The first processor 1802 processes only M of the N first-type channel information reports, where M is a positive integer less than N;

[1079] In Example 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 one embodiment, the N first-type channel information reports begin to occupy processing units on the same symbol; or, the calculation or generation of the N first-type channel information reports begins on the same symbol.

[1081] As an example, the determination of the M first-type channel information reports depends on the first-type identifier associated with the first reference report, where the first reference report is one of the N first-type channel information reports.

[1082] As an example, the M first-type channel information reports include at least one first-type channel information report among the N first-type channel information reports that satisfies a first condition; the first condition includes: the associated first-type identifier and the first-type identifier associated with the first reference report are the same; the first reference report is one of the N first-type channel information reports.

[1083] As an example, the M first-type channel information reports further include at least one first-type channel information report among the N first-type channel information reports that satisfies a second condition; the second condition includes: the associated first-type identifier and the first-type identifier associated with the second reference report are the same; 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.

[1084] As an example, 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 example, 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 example, the generation method of the first type of channel information reporting is based on training or AI.

[1087] As one embodiment, the configuration information reported by the first type of channel information indicates a first type of resource set, the first type of resource set including at least one RS resource for the 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 that do not belong to the first type of resource set.

[1088] As one embodiment, the association of a first type of channel information report with a first type of identifier includes: the configuration information of the first type of channel information report indicates a first type of identifier, and the first type of identifier associated with the first type of channel information report is the first type of identifier indicated by the configuration information of the first type of channel information report.

[1089] As one embodiment, the association of a first type of channel information reporting with a first type of identifier includes: the first node or the target receiver of the first information set performing a first operation, the first type of channel information reporting depending on the output of the first operation, and the first operation being associated with the first type of identifier.

[1090] As an example, the association of a first type of channel information report with a first type of identifier includes: the generation method of the first type of channel information report uses an AI model identified by the first type of identifier, or the first type of channel information report is generated by an AI entity identified by the first type of identifier, or the first type of channel information report is used for an AI function identified by the first type of identifier.

[1091] As an example, the output of the first operation includes a first CSI, the first type of channel information report carries the first CSI, and the first CSI is used as input to the second operation by the sender of the first information set to generate a second CSI.

[1092] As an example, the first receiver 1801 receives signals in the first type of resource set.

[1093] As an example, the first receiver 1801 receives a reference signal in the first type of resource set.

[1094] As an example, 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 example, 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 example, the first operation is based on training or AI.

[1097] As an example, the first operation requires deployment.

[1098] As an example, the first operation is obtained by loading.

[1099] As one embodiment, the first receiver receives signals from the second source set.

[1100] As one embodiment, the first receiver receives a reference signal in the second source set, which includes one or more RS resources.

[1101] As an example, the first processor 1802 deploys the first operation.

[1102] Example 19

[1103] Example 19 illustrates a structural block diagram of a processing apparatus for a second node according to an embodiment of this application; as shown in the appendix. Figure 19 As shown. In the appendix Figure 19In the second node, the processing device 1900 includes a second processor 1901.

[1104] In one embodiment, the second node is a base station device.

[1105] In one embodiment, the second node is a user equipment.

[1106] As one embodiment, the second node is a relay node device.

[1107] As an example, the second processor 1901 includes at least one of the following in embodiment 4: {antenna 420, receiver / transmitter 418, receiving processor 470, transmitting processor 416, multi-antenna receiving processor 472, multi-antenna transmitting processor 471, controller / processor 475, memory 476}.

[1108] The second processor 1901 sends a first information set, which is used to configure N first-type channel information reports, where N is a positive integer greater than 1, and one first-type channel information report is associated with a first-type identifier; and receives at least M first-type channel information reports from the N first-type channel information reports, where M is a positive integer less than N.

[1109] As an example, the target receiver of the first information set processes only M of 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 of the N first-type channel information reports.

[1110] As one embodiment, the N first-type channel information reports begin to occupy processing units on the same symbol; or, the calculation or generation of the N first-type channel information reports begins on the same symbol.

[1111] As an example, the determination of the M first-type channel information reports depends on the first-type identifier associated with the first reference report, where the first reference report is one of the N first-type channel information reports.

[1112] As an example, the M first-type channel information reports include at least one first-type channel information report among the N first-type channel information reports that satisfies a first condition; the first condition includes: the associated first-type identifier and the first-type identifier associated with the first reference report are the same; the first reference report is one of the N first-type channel information reports.

[1113] As an example, the M first-type channel information reports further include at least one first-type channel information report among the N first-type channel information reports that satisfies a second condition; the second condition includes: the associated first-type identifier and the first-type identifier associated with the second reference report are the same; 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 example, 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.

[1115] As an example, 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.

[1116] As an example, the generation method of the first type of channel information reporting is based on training or AI.

[1117] As one embodiment, the configuration information reported by the first type of channel information indicates a first type of resource set, the first type of resource set including at least one RS resource for the 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 that do not belong to the first type of resource set.

[1118] As one embodiment, the association of a first type of channel information report with a first type of identifier includes: the configuration information of the first type of channel information report indicates a first type of identifier, and the first type of identifier associated with the first type of channel information report is the first type of identifier indicated by the configuration information of the first type of channel information report.

[1119] As one embodiment, the association of a first type of channel information report with a first type of identifier includes: the target receiver of the first information set performing a first operation, the first type of channel information report depending on the output of the first operation, and the first operation being associated with the first type of identifier.

[1120] As an example, the association of a first type of channel information report with a first type of identifier includes: the generation method of the first type of channel information report uses an AI model identified by the first type of identifier, or the first type of channel information report is generated by an AI entity identified by the first type of identifier, or the first type of channel information report is used for an AI function identified by the first type of identifier.

[1121] As one embodiment, the second processor 1901 performs a second operation; wherein the output of the first operation includes a first CSI, the first type of channel information report carries the first CSI, and the first CSI is used as input to the second operation to generate a second CSI.

[1122] As one embodiment, the second processor 1901 sends a signal in the first type of resource set.

[1123] As one embodiment, the second processor 1901 sends a reference signal in the first type of resource set.

[1124] As an example, sending a signal in the first type of resource set means sending a wireless signal in the first type of resource set.

[1125] As an example, sending a signal in the first type of resource set means sending a reference signal in the first type of resource set.

[1126] As an example, the first operation is based on training or AI.

[1127] As an example, the first operation requires deployment.

[1128] As an example, the first operation is obtained by loading.

[1129] As one embodiment, the second processor 1901 sends a signal in the second type of resource set.

[1130] As one embodiment, the second processor 1901 sends a reference signal in the second type of resource set, which includes one or more RS resources.

[1131] As an example, the second processor 1901 does not send signals in the first type of resource set.

[1132] As an example, the second processor 1901 does not send reference signals in the second type of resource set.

[1133] As an example, the second processor 1901 deploys the second operation.

[1134] As one example, the second operation is based on training or AI.

[1135] As an example, the second operation is obtained by loading.

[1136] Example 20

[1137] Example 20 illustrates a schematic diagram of the reporting of a first CSI and a first type of channel information according to an embodiment of this application; as shown in the appendix. Figure 20 As shown. In Embodiment 20, the output of the first operation includes a first CSI, which is used to generate the first type of channel information report.

[1138] As an example, the advantages of the above method include improved CSI reporting performance by leveraging the advantages of the first operation, including more accurate reporting and / or lower overhead.

[1139] As an example, the first type of channel information reporting includes the first CSI.

[1140] As an example, the first CSI is post-processed and used to generate the first type of channel information report.

[1141] As an example, the first type of channel information reporting includes the first CSI after post-processing.

[1142] As an example, the first type of channel information report carries the first CSI after post-processing.

[1143] As an example, the first CSI, after being truncated and / or quantized, is used to generate the first type of channel information report.

[1144] As an example, the first type of channel information reported includes the first CSI after being truncated and / or quantized.

[1145] As an example, the first type of channel information reported carries the first CSI after being truncated and / or quantized.

[1146] As an example, the first CSI includes one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, Capability Index, and TDCP.

[1147] As an example, the first CSI includes 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 example, the first CSI includes a channel matrix.

[1149] As an example, the first CSI includes a feature vector.

[1150] As an example, the first CSI includes a feature vector and feature values.

[1151] As an example, the first CSI includes precoded information.

[1152] As one embodiment, the first CSI includes pre-encoded information based on a non-codebook.

[1153] As an example, the first CSI is used to determine at least one precoding matrix.

[1154] As an example, the first CSI indicates at least one precoding matrix.

[1155] As an example, the precoding matrix is ​​in the spatial-frequency domain.

[1156] As an example, the precoding matrix is ​​angular-delay domain projection.

[1157] As one embodiment, the first CSI includes information on the relative phase, amplitude, and / or coefficients between multiple antenna ports.

[1158] As an example, the first CSI includes compressed CSI.

[1159] As an example, the first CSI includes predicted / estimated CSI.

[1160] Those skilled in the art will understand that all or part of the steps in the above methods can be implemented by a program instructing related hardware, and the program can be stored in a computer-readable storage medium, such as a read-only memory, hard disk, or optical disk. Optionally, all or part of the steps in the above embodiments can also be implemented using one or more integrated circuits. Accordingly, each module unit in the above embodiments can be implemented in hardware or in the form of software functional modules. This application is not limited to any specific combination of software and hardware. The user equipment, terminal, and UE in this application include, but are not limited to, drones, communication modules on drones, remote-controlled aircraft, aircraft, small aircraft, mobile phones, tablets, laptops, vehicle-mounted communication equipment, vehicles, RSUs, wireless sensors, internet access cards, IoT terminals, RFID terminals, NB-IoT terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, internet access cards, vehicle-mounted communication equipment, low-cost mobile phones, low-cost tablets, and other wireless communication devices. The base stations or system equipment in this application include, but are not limited to, macrocell base stations, microcell base stations, small cell base stations, home base stations, relay base stations, eNBs, gNBs, TRPs (Transmitter Receiver Points), GNSS, relay satellites, satellite base stations, airborne base stations, RSUs (Road Side Units), drones, and testing equipment, such as transceivers or signaling testers that simulate some functions of a base station, and other wireless communication equipment.

[1161] Those skilled in the art will understand that the present invention can be practiced in other specified forms without departing from its core or essential characteristics. Therefore, the embodiments disclosed herein should in any way be considered descriptive rather than restrictive. The scope of the invention is defined by the appended claims rather than the foregoing description, and all modifications within their equivalent meaning and scope are considered to be included therein.

Claims

1. A first node used for wireless communication, characterized in that, include: The first receiver receives a first information set, which is used to configure N first-type channel information reports, where N is a positive integer greater than 1, and one first-type channel information report is associated with a first-type identifier. The first processor processes only M of the N first-type channel information reports, where M is a positive integer less than N. 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.

2. 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 with the first reference report, where the first reference report is one of the N first-type channel information reports.

3. The first node according to claim 1 or 2, characterized in that, The M first-type channel information reports include at least one first-type channel information report among the N first-type channel information reports that satisfies a first condition; the first condition includes: the associated first-type identifier and the first-type identifier associated with the first reference report are the same; the first reference report is one of the N first-type channel information reports.

4. The first node according to claim 3, characterized in that, The M first-type channel information reports also include at least one first-type channel information report among the N first-type channel information reports that satisfies the second condition; the second condition includes: the associated first-type identifier and the first-type identifier associated with the second reference report are the same; 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.

5. The first node according to claim 3 or 4, characterized in that, The M first-type channel information reports satisfy a third condition, wherein 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.

6. The first node according to any one of claims 1 to 5, characterized in that, 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.

7. The first node according to any one of claims 1 to 6, characterized in that, The association of a first type of channel information report with a first type of identifier includes: the configuration information of the first type of channel information report indicates a first type of identifier, and the first type of identifier associated with the first type of channel information report is the first type of identifier indicated by the configuration information of the first type of channel information report.

8. A second node used for wireless communication, characterized in that, include: The second processor sends a first information set, which is used to configure N first-type channel information reports, where N is a positive integer greater than 1, and one first-type channel information report is associated with a first-type identifier; and receives at least M first-type channel information reports from the N first-type channel information reports, where M is a positive integer less than N. Wherein, the target receiver of the first information set processes only M of 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 of the N first-type channel information reports.

9. A method used in a first node of wireless communication, characterized in that, include: Receive a first information set, which is used to configure N first-type channel information reports, where N is a positive integer greater than 1, and one first-type channel information report is associated with a first-type identifier; Process only M of the N first-type channel information reports, where M is a positive integer less than N; 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.

10. A method used in a second node of wireless communication, characterized in that, include: Send a first information set, which is used to configure N first-type channel information reports, where N is a positive integer greater than 1, and one first-type channel information report is associated with one first-type identifier; Receive at least M of the N first-type channel information reports, where M is a positive integer less than N; Wherein, the target receiver of the first information set processes only M of 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 of the N first-type channel information reports.

Images