Method and apparatus in node used for wireless communication

Abstract

The invention discloses a method and an apparatus in a node used for wireless communication. A first node receives a first information block, the first information block being used for indicating a first RS resource set, the first RS resource set comprising one or more RS resources; sending the first channel information; wherein the measurement for at least one RS resource in the first RS resource set is used for generating the first channel information; at least one of a load size of the first channel information or a type of the first channel information depends on a target parameter, at least one decoding is used for generating the target parameter, and the at least one decoding is obtained based on training. According to the method, the type of the channel information and the load size are determined, and the overall performance of the system is improved.

Description

Technical Field

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

[0002] Multi-antenna technology is a key technology in 3GPP (3rd Generation Partner Project) LTE (Long-term Evolution) system and NR (New Radio) system. Additional spatial degrees of freedom are obtained by configuring multiple antennas at communication nodes, such as base stations or UE (User Equipment). Multiple antennas form beams pointing in a specific direction through beamforming to improve communication quality. The degrees of freedom provided by the multi-antenna system can be used to improve transmission reliability and / or throughput. When multiple antennas belong to multiple TRPs (Transmitter Receiver Points) / panels (antenna panels), additional diversity gain can be obtained by utilizing the spatial differences between different TRPs / panels. UE reports CSI (Channel State Information) to assist network equipment in multi-antenna operation and beamforming, which is a common method in 3GPP. With the increase in the number of antennas and the improvement in system performance requirements, the traditional CSI feedback method will bring a lot of redundant overhead. Therefore, in NR R (release) 18, CSI compression based on AI (Artificial Intelligence) or ML (Machine Learning) was launched. Summary of the invention

[0003] The applicant has found through research that the type and / or load size of the feedback channel information will affect the performance of the wireless communication system. Therefore, how to determine the type and load of the channel information is a key issue. In view of the above technical issues, the present application discloses a solution.

[0004] It should be noted that although many embodiments in this application are developed for AI / ML-based CSI compression, this application is also applicable to other schemes, such as traditional CSI, CSI based on AI / ML compression and traditional compression, and CSI based on AI / ML prediction and compression. In addition, the use of a unified solution for different scenarios (including but not limited to AI / ML-based CSI and traditional CSI) also helps to reduce hardware complexity and cost. In the absence of conflict, the embodiments in the first node of this application and the features in the embodiments can be applied to the second node, and vice versa. In the absence of conflict, the embodiments of this application and the features in the embodiments can be arbitrarily combined with each other.

[0005] In particular, the interpretation of the terminology, nouns, functions, and variables in this application (if not otherwise specified) can refer to the definitions in the 3GPP specification protocols TS36 series, TS38 series, and TS37 series. If necessary, reference can be made to 3GPP standards TS38.211, TS38.212, TS38.213, TS38.214, TS38.215, TS38.321, TS38.331, TS38.305, TS38.304, and TS37.355 to assist in understanding this application.

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

[0007] receiving a first information block, where the first information block is used to indicate a first RS resource set, where the first RS resource set includes one or more RS resources;

[0008] Sending first channel information;

[0009] Among them, measurement of at least one RS resource in the first RS resource set is used to generate the first channel information; at least one of the load size of the first channel information or the type of the first channel information depends on a target parameter, at least one decoding is used to generate the target parameter, and the at least one decoding is based on training.

[0010] As an embodiment, the problem to be solved by the present application includes: how to determine the type and load size of channel information.

[0011] As an embodiment, the problem to be solved by the present application includes: how to determine whether to enable AI / ML-based channel information compression.

[0012] As an embodiment, the problem to be solved by the present application includes: how to determine the mechanism for switching between traditional CSI and AI / ML-based channel information.

[0013] As an embodiment, the problem to be solved by the present application includes: how to dynamically adjust the overhead of channel information feedback.

[0014] As an embodiment, the essence of the above method includes: at least one of the load size or type of the reported channel information depends on a parameter related to training.

[0015] As an embodiment, the type and load size of the channel information depends on the system performance associated with the channel information feedback (including but not limited to bit error rate, bit error rate and system throughput, etc.).

[0016] As an embodiment, the type and payload size of the channel information depends on the performance of the AI / ML-based channel information compression.

[0017] As an embodiment, the type and load size of the channel information depend on the accuracy of the restored channel information of the node sending the first information block.

[0018] As an embodiment, the type and load size of the channel information depends on the judgment of the first node on the accuracy of the recovered channel information of the node sending the first information block.

[0019] As an embodiment, the type and load size of the channel information depends on the relationship between the first node's judgment on the accuracy of the recovered channel information of the first information block sending node and the accuracy of the recovered channel information of the first information block sending node.

[0020] As an embodiment, the at least one decoding is generated using an artificial intelligence or machine learning based method.

[0021] As an embodiment, the benefits of the above method include: improving channel information accuracy, reducing reporting overhead, enhancing channel information feedback effectiveness, and improving overall system performance.

[0022] As an embodiment, the benefits of the above method include: flexible control of switching between traditional channel information compression and AI / ML-based channel information compression.

[0023] As an embodiment, the benefits of the above method include: flexibly and dynamically adjusting the load of channel information reporting and improving the utilization of system resources.

[0024] As an embodiment, the benefits of the above method include: flexibly adjusting the encoding method for generating channel information.

[0025] As an embodiment, the benefits of the above method include: integrating multiple coding methods for generating channel information, improving data transmission reliability, and simplifying system design.

[0026] As an embodiment, the benefits of the above method include: introducing a target parameter as a dependency for adjusting at least one of the load size or type of the reported channel information, simplifying system design, and having good backward compatibility.

[0027] As an embodiment, the benefits of the above method include: the target parameter depends on at least one decoding, which enhances system flexibility and backward compatibility.

[0028] As an embodiment, the benefits of the above method include: good backward compatibility and reduced implementation complexity.

[0029] As an embodiment, the benefits of the above method include: better flexibility and adaptability to different terminals.

[0030] As an embodiment, the benefits of the above method include: improving system robustness.

[0031] According to one aspect of the present application, it is characterized in that the at least one decoding includes only a first decoding, and the first decoding is performed at the sender of the first information block; or, the at least one decoding includes only a first reference decoding, and the first reference decoding is performed at the first node; or, the at least one decoding includes a first decoding and a first reference decoding, and the first decoding and the first reference decoding are performed at the sender of the first information block and the first node, respectively.

[0032] As an embodiment, the benefits of the above method include: providing multiple possibilities for the at least one decoding, adapting to different transmission environments and usage scenarios.

[0033] As an embodiment, the benefits of the above method include: enhancing the flexibility and backward compatibility of the system.

[0034] As an embodiment, the benefits of the above method include: simplifying system design and reducing implementation complexity.

[0035] According to one aspect of the present application, it is characterized in that the at least one decoding includes a first decoding, which is performed at the sender of the first information block; the output of the first decoding is used to generate a first parameter, and the first parameter is used to generate the target parameter.

[0036] As an embodiment, the benefits of the above method include: introducing the first parameter, associating the first decoding with the target parameter, simplifying system design, and reducing implementation complexity.

[0037] As an embodiment, the benefits of the above method include: introducing the first parameter, increasing the possibility of a dependency relationship between the first decoding and the target parameter, and improving the flexibility and backward compatibility of the system.

[0038] According to one aspect of the present application, it is characterized in that the at least one decoding includes a first reference decoding, the first reference decoding is performed at the first node, and the output of the first reference decoding is used to generate a second parameter; the second parameter is used to generate the target parameter.

[0039] As an embodiment, the benefits of the above method include: introducing the second parameter, associating the first reference decoding and the target parameter, simplifying system design, and reducing implementation complexity.

[0040] As an embodiment, the benefits of the above method include: introducing the second parameter, increasing the possibility of a dependency relationship between the first reference decoding and the target parameter, and improving the flexibility and backward compatibility of the system.

[0041] According to one aspect of the present application, it is characterized in that the number of bits included in the first channel information depends on the size relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[0042] As an embodiment, the benefits of the above method include: determining the number of bits included in the first channel information by the size relationship between the target parameter and at least one threshold, simplifying system design, and reducing implementation complexity.

[0043] According to one aspect of the present application, it is characterized in that a first code is used to generate the first channel information, and the first code is executed at the first node; measurement of at least one RS resource in the first RS resource set is used to generate an input for the first code; and the first code is obtained through training.

[0044] As an embodiment, the characteristics of the above method include: the first code is generated by a method based on artificial intelligence or machine learning.

[0045] As an embodiment, the benefits of the above method include: improving CSI accuracy and / or reducing reporting overhead.

[0046] According to one aspect of the present application, it is characterized by comprising:

[0047] receiving a second information block;

[0048] The target parameter depends on the second information block, or the second information block depends on the target parameter.

[0049] As an embodiment, the benefits of the above method include: adapting to different transmission environments and usage scenarios, and enhancing system robustness.

[0050] As an embodiment, the benefits of the above method include: improving system backward compatibility.

[0051] As an embodiment, the benefits of the above method include: improving the flexibility of system configuration.

[0052] As an embodiment, the benefits of the above method include: carrying control instructions through the second information block simplifies the design and implementation complexity of the UE.

[0053] According to one aspect of the present application, it is characterized in that the first node is a user equipment.

[0054] According to one aspect of the present application, it is characterized in that the first node is a relay node.

[0055] The present application discloses a method used in a second node of wireless communication, characterized by comprising:

[0056] Sending a first information block, where the first information block is used to indicate a first RS resource set, where the first RS resource set includes one or more RS resources;

[0057] receiving first channel information;

[0058] Among them, measurement of at least one RS resource in the first RS resource set is used to generate the first channel information; at least one of the load size of the first channel information or the type of the first channel information depends on a target parameter, at least one decoding is used to generate the target parameter, and the at least one decoding is based on training.

[0059] According to one aspect of the present application, it is characterized in that the at least one decoding includes only a first decoding, and the first decoding is performed at the sender of the first information block; or, the at least one decoding includes only a first reference decoding, and the first reference decoding is performed at the first node; or, the at least one decoding includes a first decoding and a first reference decoding, and the first decoding and the first reference decoding are performed at the sender of the first information block and the first node, respectively.

[0060] According to one aspect of the present application, it is characterized in that the at least one decoding includes a first decoding, which is performed at the sender of the first information block; the output of the first decoding is used to generate a first parameter, and the first parameter is used to generate the target parameter.

[0061] According to one aspect of the present application, it is characterized in that the at least one decoding includes a first reference decoding, the first reference decoding is performed at the first node, and the output of the first reference decoding is used to generate a second parameter; the second parameter is used to generate the target parameter.

[0062] According to one aspect of the present application, it is characterized in that the number of bits included in the first channel information depends on the size relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[0063] According to one aspect of the present application, it is characterized in that a first code is used to generate the first channel information, and the first code is executed at the first node; measurement of at least one RS resource in the first RS resource set is used to generate an input for the first code; and the first code is obtained through training.

[0064] According to one aspect of the present application, it is characterized by comprising:

[0065] receiving a second information block;

[0066] The target parameter depends on the second information block, or the second information block depends on the target parameter.

[0067] According to one aspect of the present application, it is characterized in that the second node is a base station.

[0068] According to one aspect of the present application, it is characterized in that the second node is a user equipment.

[0069] According to one aspect of the present application, it is characterized in that the second node is a relay node.

[0070] The present application discloses a first node used for wireless communication, characterized in that it includes:

[0071] A first receiver receives a first information block, where the first information block is used to indicate a first RS resource set, where the first RS resource set includes one or more RS resources;

[0072] A first transmitter sends first channel information;

[0073] Among them, measurement of at least one RS resource in the first RS resource set is used to generate the first channel information; at least one of the load size of the first channel information or the type of the first channel information depends on a target parameter, at least one decoding is used to generate the target parameter, and the at least one decoding is based on training.

[0074] The present application discloses a second node used for wireless communication, characterized in that it includes:

[0075] A second transmitter sends a first information block, where the first information block is used to indicate a first RS resource set, where the first RS resource set includes one or more RS resources;

[0076] A second receiver receives the first channel information;

[0077] Among them, measurement of at least one RS resource in the first RS resource set is used to generate the first channel information; at least one of the load size of the first channel information or the type of the first channel information depends on a target parameter, at least one decoding is used to generate the target parameter, and the at least one decoding is based on training.

[0078] As an embodiment, compared with the traditional solution, this application has the following advantages:

[0079] -Improve channel information accuracy, reduce reporting overhead, and improve overall system performance;

[0080] - A good balance between channel information accuracy and reporting overhead;

[0081] -Flexibly and dynamically adjust the load of channel information reporting to improve the utilization of system resources;

[0082] -Good forward and backward compatibility;

[0083] -Increase system flexibility and reduce system complexity;

[0084] -It has stronger robustness and is suitable for a variety of application scenarios;

[0085] - Improve transmission reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0086] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments with reference to the following drawings:

[0087] Figure 1 A flowchart showing a first RS resource set, a first information block and a first channel information according to an embodiment of the present application is shown;

[0088] Figure 2 A schematic diagram of a network architecture according to an embodiment of the present application is shown;

[0089] Figure 3 A schematic diagram showing an embodiment of a wireless protocol architecture of a user plane and a control plane according to an embodiment of the present application;

[0090] Figure 4 A schematic diagram showing a first communication device and a second communication device according to an embodiment of the present application is shown;

[0091] Figure 5 A flowchart of wireless transmission according to an embodiment of the present application is shown;

[0092] Figures 6A-6C Schematic diagrams of at least one decoding according to an embodiment of the present application are respectively shown;

[0093] Figure 7 A schematic diagram showing the relationship between the first decoding, the first parameter and the target parameter according to an embodiment of the present application;

[0094] Figure 8 A schematic diagram showing the relationship between the first reference decoding, the second parameter and the target parameter according to an embodiment of the present application;

[0095] Fig. 9 A schematic diagram showing a relationship between the first channel information, the target parameter and the at least one threshold according to an embodiment of the present application;

[0096] Fig.10 A schematic diagram of the first encoding according to an embodiment of the present application is shown;

[0097] Figures 11A-11B Schematic diagrams of the second information block according to an embodiment of the present application are respectively shown;

[0098] Fig.12 A schematic diagram showing transmission of first channel information according to an embodiment of the present application is shown;

[0099] Fig.13 A schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of the present application is shown;

[0100] Fig.14 A schematic diagram of an encoding according to an embodiment of the present application is shown;

[0101] Fig.15 A schematic diagram of a first function according to an embodiment of the present application is shown;

[0102] Fig.16 A schematic diagram of a decoding layer group according to an embodiment of the present application is shown;

[0103] Fig.17 A structural block diagram of a processing device used in a first node according to an embodiment of the present application is shown;

[0104] Fig.18 A structural block diagram of a processing device used in a second node according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0105] The technical solution of the present application will be further described in detail below in conjunction with the accompanying drawings. It should be noted that the embodiments and features in the embodiments of the present application can be arbitrarily combined with each other without conflict. Based on considerations such as performance, flexibility, complexity, overhead, and compatibility, those skilled in the art are motivated to flexibly combine the embodiments in different drawings without conflict.

[0106] Example 1

[0107] Embodiment 1 illustrates a flowchart of a first RS resource set, a first information block and a first channel information according to an embodiment of the present application, as shown in the attached Figure 1 As shown in the attached Figure 1 In the illustrated 100, each box represents a step. In particular, the order of the steps in the boxes does not represent a specific time sequence between the steps.

[0108] In Embodiment 1, the first node in the present application receives a first information block in step 101, and sends first channel information in step 102. The first information block is used to indicate a first RS resource set, and the first RS resource set includes one or more RS resources; the measurement of at least one RS resource in the first RS resource set is used to generate the first channel information; at least one of the load size of the first channel information or the type of the first channel information depends on a target parameter, at least one decoding is used to generate the target parameter, and the at least one decoding is obtained based on training.

[0109] As an embodiment, the first information block is carried by higher layer signaling.

[0110] As an embodiment, the first information block is carried by RRC signaling.

[0111] As an embodiment, the first information block includes part of or all of the fields in an RRC IE (Information Element).

[0112] As an embodiment, the first information block includes a partial field in an RRC IE.

[0113] As an embodiment, the first information block includes an RRC IE.

[0114] As an embodiment, the first information block includes part of or all of the fields in one or more RRC IEs.

[0115] As an embodiment, the first information block includes part of or all of the fields in IE CSI-ReportConfig.

[0116] As an embodiment, the first information block includes a part of the fields in IE CSI-ReportConfig.

[0117] As an embodiment, the first information block includes IE CSI-ReportConfig.

[0118] As an embodiment, the first information block includes a partial field or all fields in an RRC IE whose name includes CSI-ReportConfig.

[0119] As an embodiment, the first information block includes a partial field or all fields in an RRC IE whose name includes ReportConfig.

[0120] As an embodiment, the first information block includes a partial field or all fields in an RRC IE whose name includes CSI.

[0121] As an embodiment, the first information block includes a partial field or all fields in an RRC IE whose name includes gen.

[0122] As an embodiment, the first information block includes a partial field or all fields in an RRC IE whose name includes Gen.

[0123] As an embodiment, the first information block includes a reporting configuration of the first channel information.

[0124] As an embodiment, the first information block includes part or all of the information in the reporting configuration of the first channel information.

[0125] As an embodiment, the reporting configuration of the first channel information includes at least one of a reporting configuration identifier, a reporting type, a reporting amount, an RS resource for channel measurement, and an RS resource for interference measurement.

[0126] As a sub-embodiment of the above embodiment, the reporting configuration identifier is used to identify the reporting configuration of the first channel information.

[0127] As an embodiment, the first information block indicates a resource configuration, and the resource configuration is used to configure the first RS resource set.

[0128] As a sub-embodiment of the above embodiment, the resource configuration is a CSI (Channel Status Information) resource configuration.

[0129] As a sub-embodiment of the above embodiment, the resource configuration is an IE CSI-ResourceConfig.

[0130] As a sub-embodiment of the above embodiment, the resource configuration is an IE, and the name of the resource configuration includes CSI-ResourceConfig.

[0131] As a sub-embodiment of the above embodiment, the first information block includes a resourcesForChannelMeasurement field, and the resourcesForChannelMeasurement field included in the first information block indicates the one resource configuration.

[0132] As a sub-embodiment of the above embodiment, the first information block includes a resourcesForChannelMeasurement field, and the resourcesForChannelMeasurement field included in the first information block indicates an identifier of the resource configuration.

[0133] As a sub-embodiment of the above embodiment, a resource configuration used to configure the first RS resource set includes an identifier or index of each RS resource in the first RS resource set.

[0134] As a sub-embodiment of the above embodiment, a resource configuration used to configure the first RS resource set includes an identifier of each RS resource in the first RS resource set.

[0135] As a sub-embodiment of the above embodiment, a resource configuration used to configure the first RS resource set is used to configure each RS resource in the first RS resource set.

[0136] As a sub-embodiment of the above embodiment, a resource configuration used to configure the first RS resource set includes configuration information of each RS resource in the first RS resource set.

[0137] As an embodiment, the first information block is further used to indicate a second RS resource set, where the second RS resource set includes one or more RS resources configured for interference measurement.

[0138] As an embodiment, the second RS resource set includes at least one of a CSI-IM (Channel State Information-Interference Measurement) resource or an NZP CSI-RS resource for interference measurement.

[0139] As an embodiment, the second RS resource set includes CSI-IM (Channel State Information-Interference Measurement) resources or at least CSI-IM resources among NZP (non-zero-power) CSI-RS resources used for interference measurement.

[0140] As an embodiment, the second RS resource set includes CSI-IM resources.

[0141] As an embodiment, the second RS resource set includes CSI-IM resources and NZP CSI-RS resources for interference measurement.

[0142] Typically, CSI-IM is a zero-power reference signal.

[0143] As an embodiment, the first information block includes two resource configurations, and the two resource configurations are used to configure the first RS resource set and the second RS resource set respectively.

[0144] As a sub-embodiment of the above embodiment, the two resource configurations are respectively two CSI resource configurations.

[0145] As a sub-embodiment of the above embodiment, the two resource configurations are two IE CSI-ResourceConfigs.

[0146] As a sub-embodiment of the above embodiment, the first information block includes a resourcesForChannelMeasurement field and a csi-IM-ResourcesForInterference field, and the resourcesForChannelMeasurement field and the csi-IM-ResourcesForInterference field included in the first information block respectively indicate the two resource configurations.

[0147] As an embodiment, the first information block includes a csi-IM-ResourcesForInterference field, and the csi-IM-ResourcesForInterference field included in the first information block is used to indicate the second RS resource set.

[0148] As an embodiment, the first information block includes three resource configurations, and the three resource configurations are respectively used to configure the first RS resource set, the CSI-IM resources in the second RS resource set, and the NZP CSI-RS resources in the second RS resource set configured for interference measurement.

[0149] As a sub-embodiment of the above embodiment, the three resource configurations are three CSI resource configurations respectively.

[0150] As a sub-embodiment of the above embodiment, the three resource configurations are three IE CSI-ResourceConfigs respectively.

[0151] As a sub-embodiment of the above embodiment, the first information block includes a resourcesForChannelMeasurement field, a csi-IM-ResourcesForInterference field and a nzp-CSI-RS-ResourcesForInterference field, and the resourcesForChannelMeasurement field, the csi-IM-ResourcesForInterference field and the nzp-CSI-RS-ResourcesForInterference field included in the first information block respectively indicate the three resource configurations.

[0152] As an embodiment, the first information block includes a csi-IM-ResourcesForInterference field and a nzp-CSI-RS-ResourcesForInterference field, and the csi-IM-ResourcesForInterference field and the nzp-CSI-RS-ResourcesForInterference field included in the first information block are used to indicate the second RS resource set.

[0153] As an embodiment, for the specific definitions of IE CSI-ReportConfig, resourcesForChannelMeasurement, csi-IM-ResourcesForInterference, nzp-CSI-RS-ResourcesForInterference, and IE CSI-ResourceConfig, please refer to Section 6.3.2 of 3GPP TS 38.331.

[0154] As an embodiment, the configuration information of an RS resource is indicated by one or more IEs.

[0155] As an embodiment, the configuration information of an RS resource includes an identifier of the RS resource, a period, a time offset, occupied time domain resources, occupied frequency domain resources, occupied code domain resources, a cyclic shift, an OCC (Orthogonal Cover Code), an occupied antenna port group, a transmission sequence, and at least one of a TCI (Transmission Configuration Indicator) state.

[0156] As an embodiment, the first information block includes a resourcesForChannelMeasurement field, and the resourcesForChannelMeasurement field included in the first information block is used to indicate the first RS resource set.

[0157] As an embodiment, the first information block also indicates the reporting type of the first channel information.

[0158] As an embodiment, the first information block includes a reportConfigType (report configuration type) field; the reportConfigType (report configuration type) field in the first information block indicates a reporting type of the first channel information.

[0159] As an embodiment, the reporting type includes one or more of periodic, semi-persistent on PUSCH, semi-persistent on PUCCH, or aperiodic.

[0160] As an embodiment, the reporting type includes one or more of periodic, semi-persistent, or aperiodic.

[0161] As an embodiment, the first RS resource set includes one RS resource.

[0162] As an embodiment, the first RS resource set includes multiple RS resources.

[0163] As an embodiment, the first RS resource set includes at least one RS resource.

[0164] As an embodiment, at least one RS resource in the first RS resource set is used for channel measurement of the first channel information.

[0165] As an embodiment, the first RS resource set is used for channel measurement of the first channel information.

[0166] As an embodiment, the first RS resource set is a CSI-RS (Channel state information reference signal) resource set.

[0167] As an embodiment, the first RS resource set includes one or more CSI-RS (Channel State Information-Reference Signal) resources.

[0168] As an embodiment, the first RS resource set is an NZP (non-zero-power) CSI-RS resource set.

[0169] As an embodiment, the first RS resource set includes one or both of CSI-RS resources or SS / PBCH (Synchronization Signal / Physical Broadcast CHannel) block resources.

[0170] As an embodiment, any RS resource in the first RS resource set is a CSI-RS resource or a SS / PBCH block resource.

[0171] As an embodiment, the first RS resource set includes one or both of CSI-RS resources or SSB resources.

[0172] As an embodiment, the SSB refers to Synchronization Signal Block.

[0173] As an embodiment, the SSB refers to Synchronization Signal / Physical Broadcast Channel Block.

[0174] As an embodiment, the first RS resource set is identified by an NZP-CSI-RS-ResourceSetId.

[0175] As an embodiment, the first RS resource set is configured by an NZP-CSI-RS-ResourceSet IE.

[0176] As an embodiment, the first RS resource set includes multiple NZP CSI-RS resource sets.

[0177] As an embodiment, the first RS resource set includes all or part of the NZP CSI-RS resources in each NZP CSI-RS resource set in multiple NZP CSI-RS resource sets.

[0178] As an embodiment, each RS resource in the first RS resource set is a CSI-RS resource.

[0179] As an embodiment, each RS resource in the first RS resource set is an NZP CSI-RS resource.

[0180] As an embodiment, each RS resource in the first RS resource set is configured by a NZP-CSI-RS-Resource IE.

[0181] As an embodiment, each RS resource in the first RS resource set is identified by an NZP-CSI-RS-ResourceId.

[0182] As an embodiment, the first RS resource set is a CSI-SSB resource set.

[0183] As an embodiment, the first RS resource set is configured by a CSI-SSB-ResourceSetIE.

[0184] As an embodiment, the first RS resource set is identified by a CSI-SSB-ResourceSetId.

[0185] As an embodiment, each RS resource in the first RS resource set is a SS / PBCH (Synchronisation Signal / Physical Broadcast Channel) block resource.

[0186] As an embodiment, each RS resource in the first RS resource set is identified by an SSB-Index.

[0187] As an embodiment, the first RS resource set includes at least one CSI-SSB resource set.

[0188] As an embodiment, the first RS resource set includes at least one CSI-SSB resource set and at least one NZP CSI-RS resource set.

[0189] As an embodiment, any RS resource in the first RS resource set is a CSI-RS resource or a SS / PBCH block resource.

[0190] As an embodiment, the first RS resource set is identified by a CSI-ResourceConfigId.

[0191] As an embodiment, each RS resource in the first RS resource set includes at least one port.

[0192] As an embodiment, the port includes an antenna port.

[0193] As an embodiment, the port includes a CSI-RS port.

[0194] As an embodiment, the port includes an antenna port or a CSI-RS port.

[0195] As an embodiment, all RS resources in the first RS resource set belong to the same cell.

[0196] As an embodiment, two RS resources in the first RS resource set belong to different cells.

[0197] As an embodiment, all RS resources in the first RS resource set belong to the same BWP (Bandwidth part).

[0198] As an embodiment, two RS resources in the first RS resource set belong to different BWPs.

[0199] As an embodiment, the first RS resource set includes only one RS resource.

[0200] As an embodiment, the benefits of the above method include: good backward compatibility, reduced reporting overhead, and simplified UE processing.

[0201] As an embodiment, the first RS resource set includes multiple RS resources.

[0202] As a sub-embodiment of the above embodiment, the multiple RS resources have the same number of ports.

[0203] As a sub-embodiment of the above embodiment, the ports with the same index of the multiple RS resources are the same port.

[0204] As an embodiment, the benefits of the above method include: good forward compatibility, better support for enhanced CSI, such as but not limited to channel prediction, CSI for medium / high-speed UEs, CSI for multiple TRPs, CSI for coherent joint transmission of multiple TRPs, etc.

[0205] As an embodiment, the first information block includes a higher layer parameter timeRestrictionForChannelMeasurements, and the higher layer parameter timeRestrictionForChannelMeasurements in the first information block is set to "configured".

[0206] As an embodiment, the first information block includes a higher layer parameter timeRestrictionForChannelMeasurements, and the higher layer parameter timeRestrictionForChannelMeasurements in the first information block is set to "notConfigured".

[0207] As an embodiment, the first information block is used to configure an aperiodic CSI report, and the first channel information is the aperiodic CSI report configured by the first information block.

[0208] As an embodiment, the first information block is used to configure a periodic or semi-persistent CSI reporting, and the first channel information is a reporting instance of the periodic or semi-persistent CSI reporting configured by the first information block.

[0209] As an embodiment, the first information block is used to configure a periodic CSI report, and the first channel information is a report of the periodic CSI report configured by the first information block.

[0210] As an embodiment, the first information block is used to configure a semi-persistent CSI report, and the first channel information is a report of the semi-persistent CSI report configured by the first information block.

[0211] As an embodiment, the first information block includes a reportQuantity field, and the reportQuantity field in the first information block indicates a reporting quantity (reportquantity) included in a reporting configuration of the first channel information.

[0212] As an embodiment, the first information block includes a reportQuantity field, and the reportQuantity field in the first information block indicates a report quantity included in the first channel information.

[0213] As an embodiment, the first channel information is transmitted on a physical channel.

[0214] As an embodiment, the first channel information is transmitted on PUSCH (Physical Uplink Shared Channel).

[0215] As an embodiment, the first channel information is transmitted on PUCCH (Physical Uplink Control Channel).

[0216] As an embodiment, the first channel information is periodic or semi-persistent.

[0217] As an embodiment, the first channel information is semi-persistent, and the first channel information is activated by a MACCE.

[0218] As a sub-embodiment of the above embodiment, the name of the MAC CE for activating the first channel information includes SPCSI reporting on PUCCH Activation MAC CE.

[0219] As a sub-embodiment of the above embodiment, the name of the MAC CE for activating the first channel information includes reporting on PUCCH Activation MAC CE.

[0220] As an embodiment, the first channel information is non-periodic, and the first channel information is triggered by a DCI (Downlink Control Information, downlink control information).

[0221] As an embodiment, the first channel information is non-periodic, and the first channel information is triggered by a DCI (Downlink Control Information); the DCI includes a CSI request field, and the CSI request field of the DCI is used to indicate a trigger state, and the trigger state is used to indicate the reporting configuration of the first channel information.

[0222] As a sub-embodiment of the above embodiment, the one triggering state indicates a reporting configuration identifier of the first channel information.

[0223] As an embodiment, "the load size of the first channel information" includes: the number of bits included in the first channel information.

[0224] As an embodiment, "the load size of the first channel information" includes: the number of transmission resources occupied by reporting the first channel information.

[0225] As an embodiment, "the load size of the first channel information" includes: the number of time slots occupied by reporting the first channel information.

[0226] As an embodiment, "the load size of the first channel information" includes: the number of RE (Resource Element) resources occupied by reporting the first channel information.

[0227] As an embodiment, "the load size of the first channel information" includes: the number of processing units (CSI Processing Unit, CPU) required for reporting the first channel information.

[0228] As an embodiment, "the load size of the first channel information" includes: the computation time (CSI computation time) required for reporting the first channel information.

[0229] As an embodiment, "the load size of the first channel information" includes: the number of bits included in the first channel information report, the number of transmission resources occupied by the first channel information report, the number of time slots occupied by the first channel information report, the number of RE (Resource Element) resources occupied by the first channel information report, the number of processing units (CSI Processing Unit, CPU) required for the first channel information report, or one or more of the computation time (CSI computation time, computation time) required for the first channel information report.

[0230] As an embodiment, the type of the first channel information is one of a first type or a second type.

[0231] As an embodiment, the first channel information includes at least one of the first type channel information and the second type channel information.

[0232] As an embodiment, the first channel information includes the first type channel information and the second type channel information.

[0233] As an embodiment, the second type of channel information includes PMI (Precoding Matrix Indicator).

[0234] As an embodiment, the second type of channel information includes at least one of PMI (Precoding Matrix Indicator), CQI (Channel quality indicator), CRI (CSI-RS Resource Indicator), SS / PBCH block resource indicator (SS / PBCH Block Resource indicator, SSBRI), layer indication (Layer Indicator, LI), RI (Rank Indicator, rank indication), L1-RSRP (Layer 1 reference signal received power) or L1-SINR (Layer 1 signal-to-noise and interference ratio, layer 1 signal-to-noise ratio).

[0235] As an embodiment, it includes:

[0236] Sending a first CQI;

[0237] The first channel information is the second type of channel information and includes a CQI; measurement of at least one RS resource in the first RS resource set is used to generate first input channel information, the first input channel information is used to generate the first CQI, and the first input channel information is only available to the first node.

[0238] As an embodiment, it includes:

[0239] Sending a first CQI;

[0240] The first channel information is the second type of channel information and includes a CQI; and the first channel information is used to generate the first CQI.

[0241] As an embodiment, the second type of channel information is based on a codebook.

[0242] As an embodiment, the second type of channel information includes a codebook-based PMI.

[0243] As an embodiment, the second type of channel information is based on a codebook, which means that the PMI included in the second type of channel information is a codebook-based PMI.

[0244] As an embodiment, the second type of channel information is based on a codebook, which means that the second type of channel information includes all or part of the information of the PMI based on the codebook.

[0245] As an embodiment, the second type of channel information is based on a codebook, which means that the second type of channel information includes partial information of a PMI based on a codebook.

[0246] As an embodiment, the sentence “codebook-based PMI” means that the PMI is selected from a candidate codebook set.

[0247] As an embodiment, the sentence “codebook-based PMI” means that: the PMI indicates at least one codebook index.

[0248] As an embodiment, the sentence "codebook-based PMI" means: the PMI indicates a codebook-based precoding matrix.

[0249] As an embodiment, the second type of channel information only includes PMI.

[0250] As an embodiment, the second type of channel information only includes all or part of the information in the codebook-based PMI.

[0251] As an embodiment, the second type of channel information only includes partial information in the codebook-based PMI.

[0252] As an embodiment, the second type of channel information includes all or part of the information in the codebook-based PMI, and also includes one or more of CQI (Channel quality indicator), CRI (CSI-RS Resource Indicator), LI (Layer Indicator) or RI (Rank Indicator).

[0253] As an embodiment, the second type of channel information is based on a Type II codebook.

[0254] As an embodiment, the second type of channel information is based on a Type I codebook.

[0255] As an embodiment, the codebook refers to the codebook defined in 3GPP NR R (Release) 15, R16 or R17.

[0256] As an embodiment, the codebook refers to the PMI codebook defined in 3GPP NR R15, R16 or R17.

[0257] As an embodiment, the PMI included in the second type of channel information is generated in accordance with the PMI codebook defined in 3GPP NR R15, R16 or R17.

[0258] As an embodiment, the second type of channel information includes a portion of the PMI generated in accordance with the PMI codebook defined in 3GPP NR R15, R16 or R17.

[0259] As an embodiment, the second type of channel information is linear.

[0260] As an embodiment, the first type of channel information includes information of at least one precoding matrix.

[0261] As an embodiment, the first type of channel information includes information of at least one channel matrix.

[0262] As an embodiment, the first type of channel information includes amplitude and phase information of elements in at least one channel matrix.

[0263] As an embodiment, the first type of channel information includes information of at least one eigenvector.

[0264] As an embodiment, the first type of channel information includes information of at least one characteristic value.

[0265] As an embodiment, the first type of channel information includes amplitude and phase information of elements in at least one eigenvector.

[0266] As an embodiment, the first type of channel information includes partial matrix information obtained after matrix decomposition of at least one channel matrix.

[0267] As an embodiment, the first type of channel information includes information after at least one channel matrix is ​​projected onto at least one base matrix.

[0268] As an embodiment, the first type of channel information is used for precoding.

[0269] As an embodiment, the first type of channel information is used to determine a channel parameter matrix.

[0270] As an embodiment, the first type of channel information is not based on a codebook.

[0271] As an embodiment, "the first type of channel information is not based on a codebook" includes: the first type of channel information indicates non-codebook-based channel information.

[0272] As an embodiment, "the first type of channel information is not based on a codebook" includes: the first type of channel information indicates channel information generated based on artificial intelligence or machine learning.

[0273] As an embodiment, "the first type of channel information is not based on a codebook" includes: the first type of channel information indicates the at least one decoded input channel information.

[0274] As an embodiment, "the first type of channel information is not based on a codebook" includes: the first type of channel information indicates channel information related to the at least one decoding input.

[0275] As an embodiment, "the first type of channel information is not based on a codebook" includes: the first type of channel information does not include a codebook index.

[0276] As an embodiment, "the first type of channel information is not based on a codebook" includes: the first type of channel information is not a PMI.

[0277] As an embodiment, “the first type of channel information is not based on a codebook” includes: the first type of channel information is not selected from a candidate codebook set.

[0278] As an embodiment, the first type of channel information is non-linear.

[0279] As an embodiment, the first type of channel information is generated based on artificial intelligence or machine learning methods.

[0280] As an embodiment, the first type of channel information includes CSI based on artificial intelligence or machine learning.

[0281] As an embodiment, the first type of channel information includes compressed CSI.

[0282] As an embodiment, the first type of channel information includes CSI based on a neural network.

[0283] As an embodiment, the first type of channel information includes CSI based on CNN (Conventional Neural Networks, convolutional neural network).

[0284] As an embodiment, the first type of channel information includes CSI based on a feedforward neural network.

[0285] As an embodiment, the first type of channel information includes CSI based on a recurrent neural network (RNN).

[0286] As an embodiment, the first type of channel information includes CSI based on a transformer model neural network.

[0287] As an embodiment, the first type of channel information includes CSI based on a generative adversarial network (GAN).

[0288] As an embodiment, the first type of channel information includes CSI based on an autoencoder (AE).

[0289] As an embodiment, the first type of channel information complies with: a channel parameter restored by a target receiver of the first type of channel information based on the first type of channel information is unknown to the first node.

[0290] As an embodiment, the first type of channel information complies with: a channel parameter recovered by the first node based on the first type of channel information is unknown to a target receiver of the first type of channel information.

[0291] As an embodiment, the first type of channel information complies with: a generator for generating the first type of channel information is obtained based on training.

[0292] As an embodiment, the first type of channel information meets the following requirements: the first type of channel information does not belong to the CSI defined in 3GPP R17, nor does it belong to the CSI defined in a version before 3GPP R17.

[0293] As an embodiment, the first type of channel information meets the following requirements: a channel parameter recovered by a target receiver of the first type of channel information based on the first type of channel information is unknown to the first node, a generator for generating the first type of channel information is obtained based on training, and the first type of channel information does not belong to the CSI defined in 3GPP R17, nor does it belong to the CSI defined in a version prior to 3GPP R17.

[0294] As an embodiment, the first type of channel information complies with: a channel parameter recovered by a target receiver of the first type of channel information based on the first type of channel information is unknown to the first node, and a generator for generating the first type of channel information is obtained based on training.

[0295] As an embodiment, the first type of channel information meets the following conditions: a generator for generating the first type of channel information is obtained based on training, and the first type of channel information does not belong to the CSI defined in 3GPP R17, nor does it belong to the CSI defined in a version before 3GPP R17.

[0296] As an embodiment, the first type of channel information meets the following requirements: channel parameters recovered by a target receiver of the first type of channel information based on the first type of channel information are unknown to the first node, channel parameters recovered by the first node based on the first type of channel information are unknown to the target receiver of the first type of channel information, a generator for generating the first type of channel information is obtained based on training; and the first type of channel information does not belong to the CSI defined by 3GPP R17, nor does it belong to the CSI defined by versions before 3GPP R17.

[0297] As an embodiment, the generator of the restored channel parameters is obtained based on training.

[0298] As an embodiment, the recovered channel parameters include a channel matrix.

[0299] As an embodiment, the recovered channel parameters include the original channel matrix.

[0300] As an embodiment, any element in the original channel matrix includes information about a channel experienced by an RS transmitted on a port in the first RS resource set on a frequency unit.

[0301] As a sub-embodiment of the above embodiment, the frequency unit is a sub-band.

[0302] As a sub-embodiment of the above embodiment, the frequency unit is a PRB (Physical Resource block).

[0303] As a sub-embodiment of the above embodiment, the frequency unit is composed of multiple continuous PRBs.

[0304] As a sub-embodiment of the above embodiment, the frequency unit is a subcarrier.

[0305] As a sub-embodiment of the above embodiment, the frequency unit is composed of a plurality of continuous sub-carriers.

[0306] As an embodiment, the recovered channel parameters include a characteristic vector.

[0307] As an embodiment, the recovered channel parameters include characteristic values.

[0308] As an embodiment, the recovered channel parameters include a precoding matrix.

[0309] As an embodiment, the recovered channel parameters include one or more of a relative phase, a relative amplitude, or a relative coefficient between at least two ports.

[0310] As an embodiment, when the first channel information is the second type of channel information, the first channel information is used to indicate a codebook-based precoding matrix.

[0311] As an embodiment, when the first channel information includes the second type of channel information, the first channel information is used to indicate a codebook-based precoding matrix.

[0312] As an embodiment, when the reporting amount included in the first channel information includes PMI, the first channel information is used to indicate a codebook-based precoding matrix.

[0313] As an embodiment, when the first channel information is the first type of channel information, the first channel information is used to determine a non-codebook-based precoding matrix.

[0314] As an embodiment, when the first channel information includes the first type of channel information, the first channel information is used to determine a non-codebook based precoding matrix.

[0315] As an embodiment, when the first channel information includes the first type of channel information and the second type of channel information, the first channel information is used to indicate a codebook-based precoding matrix.

[0316] As an embodiment, when the first channel information includes the first type of channel information and the second type of channel information, the first channel information is used to determine a non-codebook based precoding matrix.

[0317] As an embodiment, measurement of the first RS resource set is used to generate the first channel information.

[0318] As an embodiment, the first node obtains channel measurement for calculating the first channel information based on the first RS resource set.

[0319] As an embodiment, “measurement of at least one RS resource in the first RS resource set is used to generate the first channel information” means: measurement of part or all of the RS resources in the first RS resource set is used to generate the first channel information.

[0320] As an embodiment, “measurement of at least one RS resource in the first RS resource set is used to generate the first channel information” means: measurement of each RS resource in the first RS resource set is used to generate the first channel information.

[0321] As an embodiment, “measurement of at least one RS resource in the first RS resource set is used to generate the first channel information” means: measurement of one RS resource in the first RS resource set is used to generate the first channel information.

[0322] As an embodiment, "measurement of at least one RS resource in the first RS resource set is used to generate the first channel information" means: the first RS resource set includes only one RS resource, and measurement of the first RS resource set is used to generate the first channel information.

[0323] As an embodiment, "measurement of at least one RS resource in the first RS resource set is used to generate the first channel information" means: measurement of a transmission occasion of a CSI reference resource (reference resource) of the first RS resource set that is no later than the first channel information is used to generate the first channel information.

[0324] As an embodiment, the definition of the CSI reference resource refers to 3GPP TS38.214.

[0325] As an embodiment, a first encoding is used to generate the first channel information, and the first encoding is performed at the first node; and measurement of at least one RS resource in the first RS resource set is used to generate an input of the first encoding.

[0326] As an embodiment, a first coding is used to generate the first channel information, and the first coding is performed at the first node; measurement of at least one RS resource in the first RS resource set is used to generate an input of the first coding; and the first coding is obtained through training.

[0327] As an embodiment, a first encoding is used to generate the first channel information, and the first encoding is performed at the first node; measurement of at least one RS resource in the first RS resource set is used to generate an input for the first encoding; and the first encoding is based on a codebook.

[0328] As an embodiment, a first encoding is used to generate the first channel information, and the first encoding is performed at the first node; and measurement of at least one RS resource in the first RS resource set is directly used to generate an input of the first encoding.

[0329] As an embodiment, a first code is used to generate the first channel information, and the first code is executed at the first node; measurement of at least one RS resource in the first RS resource set is directly used to generate an input of the first code; and the first code is obtained through training.

[0330] As an embodiment, a first encoding is used to generate the first channel information, and the first encoding is performed at the first node; measurement of at least one RS resource in the first RS resource set is directly used to generate an input for the first encoding; and the first encoding is based on a codebook.

[0331] As an embodiment, a first encoding is used to generate the first channel information, and the first encoding is performed at the first node; and measurement of at least one RS resource in the first RS resource set is indirectly used to generate an input of the first encoding.

[0332] As an embodiment, a first code is used to generate the first channel information, and the first code is executed at the first node; measurement of at least one RS resource in the first RS resource set is indirectly used to generate an input of the first code; and the first code is obtained through training.

[0333] As an embodiment, a first encoding is used to generate the first channel information, and the first encoding is performed at the first node; measurement of at least one RS resource in the first RS resource set is indirectly used to generate an input for the first encoding; and the first encoding is based on a codebook.

[0334] As an embodiment, a first encoding is used to generate the first channel information, and the first encoding is performed at the first node; and a measurement of at least one RS resource in the first RS resource set is used to generate an input of the first encoding after mathematical operation.

[0335] As an embodiment, a first code is used to generate the first channel information, and the first code is executed at the first node; a measurement of at least one RS resource in the first RS resource set is used to generate an input of the first code after mathematical operation; and the first code is obtained through training.

[0336] As an embodiment, a first coding is used to generate the first channel information, and the first coding is performed at the first node; measurement of at least one RS resource in the first RS resource set is used to generate an input of the first coding after mathematical operation; the first coding is based on a codebook.

[0337] As an embodiment, the mathematical operation includes a linear operation.

[0338] As an embodiment, the mathematical operation includes a non-linear operation.

[0339] As an embodiment, the mathematical operation includes weighting and combining.

[0340] As an embodiment, the merging includes linear merging.

[0341] As an embodiment, the merging includes non-linear merging.

[0342] As an embodiment, the mathematical operation includes a matrix operation.

[0343] As an embodiment, the matrix operation includes matrix multiplication and / or matrix addition.

[0344] As an embodiment, the matrix operation includes cascading.

[0345] As an embodiment, the matrix operation includes a dot product.

[0346] As an embodiment, the matrix operation includes array multiplication, that is, multiplying elements at the same position in two matrices of the same dimension.

[0347] As an embodiment, the matrix operation includes transposition and conjugation.

[0348] As an embodiment, the matrix operation includes Kronecker product.

[0349] As an embodiment, the matrix operation includes projection.

[0350] As an embodiment, the target parameter depends on the overall system performance.

[0351] As an embodiment, the target parameter depends on the performance of system data transmission.

[0352] As an embodiment, the target parameter depends on the performance of the data link transmission.

[0353] As an embodiment, the target parameter is generated by calculation by the first node.

[0354] As an embodiment, the target parameter is calculated and generated by the first node, and is unknown to the first information block sending node.

[0355] As an embodiment, the target parameter is calculated and generated by the first node, and fed back to the first information block sending node.

[0356] As an embodiment, the target parameter is calculated and generated by the first information block sending node.

[0357] As an embodiment, the target parameter is calculated and generated by the first information block sending node, and is unknown to the first node.

[0358] As an embodiment, the target parameter is calculated and generated by the first information block sending node, and is fed back to the first node.

[0359] As an embodiment, the target parameter is jointly calculated and generated by the first node and the first information block sending node.

[0360] As an embodiment, the target parameter is calculated and generated by the first node and the first information block sending node respectively.

[0361] As an embodiment, the target parameter depends on the performance of CSI recovery of the node sending the first information block.

[0362] As an embodiment, the target parameter depends on the judgment of the first node on the performance of CSI recovery of the first information block sending node.

[0363] As an embodiment, the target parameter depends on the performance of CSI recovery of the node sending the first information block and the judgment of the first node about the performance of CSI recovery of the node sending the first information block.

[0364] As an embodiment, the target parameter depends on the relationship between the performance of CSI recovery of the first information block sending node and the judgment of the first node on the performance of CSI recovery of the first information block sending node.

[0365] As an embodiment, the target parameter depends on at least one of the performance of system data transmission, the performance of CSI recovery of the first information block sending node, and the judgment of the first node on the performance of CSI recovery of the first information block sending node.

[0366] As an embodiment, the essence of the above method includes: the type and load size of CSI feedback depend on system performance.

[0367] As an embodiment, the essence of the above method includes: the type and load size of CSI feedback depend on the performance of AI / ML-based CSI compression.

[0368] As an embodiment, the essence of the above method includes: the type and load size of CSI feedback depend on the accuracy of the recovered CSI of the node sending the first information block.

[0369] As an embodiment, the essence of the above method includes: the type and load size of CSI feedback depend on the judgment of the first node on the accuracy of the recovered CSI of the node sending the first information block.

[0370] As an embodiment, the essence of the above method includes: the type and load size of CSI feedback depend on the relationship between the first node's judgment on the accuracy of the recovered CSI of the first information block sending node and the accuracy of the recovered CSI of the first information block sending node.

[0371] As an embodiment, the benefits of the above method include: improving CSI accuracy, reducing reporting overhead, enhancing CSI feedback effectiveness, and improving overall system performance.

[0372] As an embodiment, the benefits of the above method include: flexibly and dynamically adjusting the load of CSI reporting and improving the utilization of system resources.

[0373] As an embodiment, the benefits of the above method include: flexibly adjusting the encoding method for generating channel information.

[0374] As an embodiment, the benefits of the above method include: improving the robustness of the system.

[0375] As an embodiment, the target parameter depends on the first parameter.

[0376] As an embodiment, the target parameter is the first parameter.

[0377] As an embodiment, the target parameter is equal to the first parameter.

[0378] As an embodiment, the target parameter and the first parameter are in a functional relationship.

[0379] As an embodiment, the target parameter and the first parameter are in a mapping relationship.

[0380] As an embodiment, the target parameter and the first parameter are in a corresponding relationship.

[0381] As an embodiment, the target parameter and the first parameter are in a linear relationship.

[0382] As an embodiment, the target parameter depends on the second parameter.

[0383] As an embodiment, the target parameter is the second parameter.

[0384] As an embodiment, the target parameter is equal to the second parameter.

[0385] As an embodiment, the target parameter and the second parameter are a functional relationship.

[0386] As an embodiment, the target parameter and the second parameter are a mapping relationship.

[0387] As an embodiment, the target parameter and the second parameter are in a corresponding relationship.

[0388] As an embodiment, the target parameter and the second parameter are in a linear relationship.

[0389] As an embodiment, the target parameter depends on at least one of the first parameter and the second parameter.

[0390] As an embodiment, the target parameter depends on the first parameter and the second parameter.

[0391] As an embodiment, the target parameter depends on the relationship between the first parameter and the second parameter.

[0392] As an embodiment, the target parameter depends on the consistency between the first parameter and the second parameter

[0393] As an embodiment, the target parameter depends on the difference between the first parameter and the second parameter.

[0394] As an embodiment, the target parameter is a function of the first parameter and the second parameter.

[0395] As an embodiment, the benefits of the above method include: improving the flexibility and robustness of the system.

[0396] As an embodiment, the benefits of the above method include: clarifying the dependency mode of target parameters, simplifying system design, and reducing implementation complexity.

[0397] As an embodiment, the load size of the first channel information depends on the target parameter.

[0398] As an embodiment, the number of bits included in the first channel information depends on the target parameter.

[0399] As an embodiment, the first channel information includes a change in the number of bits that depends on the target parameter.

[0400] As an embodiment, the first channel information includes an increase in the number of bits that depends on the target parameter.

[0401] As an embodiment, the first channel information includes a reduction amount of the number of bits that depends on the target parameter.

[0402] As an embodiment, the type of the first channel information depends on the target parameter.

[0403] As an embodiment, the payload size of the first channel information depends on the target parameter, and the type of the first channel information is independent of the target parameter.

[0404] As an embodiment, the payload size of the first channel information depends on the target parameter, and the type of the first channel information depends on higher layer signaling.

[0405] As an embodiment, the payload size of the first channel information depends on the target parameter, and the type of the first channel information is indicated by higher layer signaling.

[0406] As an embodiment, the type of the first channel information depends on the target parameter, and the load size of the first channel information is independent of the target parameter.

[0407] As an embodiment, the type of the first channel information depends on the target parameter, and the load size of the first channel information depends on higher-layer signaling.

[0408] As an embodiment, the type of the first channel information depends on the target parameter, and the load size of the first channel information is indicated by higher layer signaling.

[0409] As an embodiment, the payload size of the first channel information and the type of the first channel information both depend on the target parameter.

[0410] As an embodiment, the number of bits included in the first channel information and the type of the first channel information both depend on the target parameter.

[0411] As an embodiment, a change in the number of bits included in the first channel information and a type of the first channel information both depend on the target parameter.

[0412] As an embodiment, the essence of the above method includes: the first node determines at least one of the type and load size of CSI feedback through the value of the target parameter.

[0413] As an embodiment, the essence of the above method includes: the sender of the first information block determines at least one of the type and load size of CSI feedback through the value of the target parameter.

[0414] As an embodiment, the essence of the above method includes: the first node determines the switching between the traditional CSI and the AI / ML-based CSI through the value of the target parameter.

[0415] As an embodiment, the essence of the above method includes: the sender of the first information block determines the switching between the traditional CSI and the AI / ML-based CSI through the value of the target parameter.

[0416] As an embodiment, the benefits of the above method include: improving CSI accuracy, reducing reporting overhead, enhancing CSI feedback effectiveness, and improving overall system performance.

[0417] As an embodiment, the benefits of the above method include: flexible control of switching between traditional CSI compression and AI / ML-based CSI compression.

[0418] As an embodiment, the benefits of the above method include: flexibly and dynamically adjusting the load of CSI reporting and improving the utilization of system resources.

[0419] As an embodiment, the benefits of the above method include: flexibly adjusting the encoding method for generating channel information.

[0420] As an embodiment, the benefits of the above method include: integrating multiple coding methods for generating channel information, improving data transmission reliability, and simplifying system design.

[0421] As an embodiment, the benefits of the above method include: using the target parameter as a dependency for adjusting at least one of the load size or type of the reported CSI, simplifying system design, and having good backward compatibility.

[0422] As an embodiment, "the number of bits included in the first channel information depends on the target parameter" includes: the number of bits included in the first channel information depends on the size relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[0423] As an embodiment, "the number of bits included in the first channel information depends on the target parameter" includes: the number of bits included in the first channel information depends on the functional relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[0424] As an embodiment, "the number of bits included in the first channel information depends on the target parameter" includes: the number of bits included in the first channel information depends on the logical relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[0425] As an embodiment, "the number of bits included in the first channel information depends on the target parameter" includes: the number of bits included in the first channel information depends on the dependency relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[0426] As an embodiment, "the number of bits included in the first channel information depends on the target parameter" includes: the number of bits included in the first channel information depends on the subordination between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[0427] As an embodiment, "the number of bits included in the first channel information depends on the target parameter" includes: the change in the number of bits included in the first channel information depends on the size relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[0428] As an embodiment, "the number of bits included in the first channel information depends on the target parameter" includes: the change in the number of bits included in the first channel information depends on the functional relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[0429] As an embodiment, "the number of bits included in the first channel information depends on the target parameter" includes: the change in the number of bits included in the first channel information depends on the logical relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[0430] As an embodiment, "the number of bits included in the first channel information depends on the target parameter" includes: the change in the number of bits included in the first channel information depends on the dependency relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[0431] As an embodiment, "the number of bits included in the first channel information depends on the target parameter" includes: the change in the number of bits included in the first channel information depends on the subordination between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[0432] As an embodiment, "the number of bits included in the first channel information depends on the target parameter" includes: the first channel information includes P channel information, P is a positive integer; and P depends on the target parameter.

[0433] As an embodiment, "the first channel information includes a change in the number of bits that depends on the target parameter" includes: the first channel information includes P channel information, P is a positive integer; and the change in P depends on the target parameter.

[0434] As an embodiment, "the first channel information includes an increase in the number of bits that depends on the target parameter" includes: the first channel information includes P channel information, P is a positive integer; and the increase in P depends on the target parameter.

[0435] As an embodiment, "the first channel information includes a reduction amount of the number of bits that depends on the target parameter" includes: the first channel information includes P channel information, P is a positive integer; and the reduction amount of P depends on the target parameter.

[0436] As a sub-embodiment of the above embodiment, "the P depends on the target parameter" includes: the P depends on the size relationship between the target parameter and at least one threshold.

[0437] As a sub-embodiment of the above embodiment, "the P depends on the target parameter" includes: the P depends on the functional relationship between the target parameter and at least one threshold.

[0438] As a sub-embodiment of the above embodiment, "the P depends on the target parameter" includes: the P depends on the logical relationship between the target parameter and at least one threshold.

[0439] As a sub-embodiment of the above embodiment, "the P depends on the target parameter" includes: the P depends on the dependency relationship between the target parameter and at least one threshold.

[0440] As a sub-embodiment of the above embodiment, "the P depends on the target parameter" includes: the P depends on the subordinate relationship between the target parameter and at least one threshold.

[0441] As a sub-embodiment of the above embodiment, "the change in P depends on the target parameter" includes: the change in P depends on the size relationship between the target parameter and at least one threshold value.

[0442] As a sub-embodiment of the above embodiment, "the change in P depends on the target parameter" includes: the change in P depends on the functional relationship between the target parameter and at least one threshold.

[0443] As a sub-embodiment of the above embodiment, "the change in P depends on the target parameter" includes: the change in P depends on the logical relationship between the target parameter and at least one threshold.

[0444] As a sub-embodiment of the above embodiment, "the change in P depends on the target parameter" includes: the change in P depends on the dependency relationship between the target parameter and at least one threshold.

[0445] As a sub-embodiment of the above embodiment, "the change in P depends on the target parameter" includes: the change in P depends on the subordinate relationship between the target parameter and at least one threshold.

[0446] As an embodiment, the benefits of the above method include: simplifying system design and reducing system implementation complexity by means of the relationship between the target parameter and the at least one threshold.

[0447] As an embodiment, the benefits of the above method include: increasing the scenarios in which the system is applicable and improving the flexibility and robustness of the system.

[0448] As an embodiment, the meaning of "the type of the first channel information depends on the target parameter" includes: whether the first channel information is the first type of channel information that depends on the target parameter.

[0449] As an embodiment, the meaning of "the type of the first channel information depends on the target parameter" includes: whether the first channel information is the second type channel information that depends on the target parameter.

[0450] As an embodiment, the meaning of "the type of the first channel information depends on the target parameter" includes: whether the first channel information is other type of channel information that does not belong to the first type of channel information and the second type of channel information and depends on the target parameter.

[0451] As an embodiment, the meaning of "the type of the first channel information depends on the target parameter" includes: which type of the first type of channel information and the second type of channel information the first channel information is depends on the target parameter.

[0452] As an embodiment, the meaning of "the type of the first channel information depends on the target parameter" includes: whether the first channel information is the first type of channel information, the second type of channel information, and other types of channel information that do not belong to the first type of channel information and the second type of channel information depends on the target parameter.

[0453] As an embodiment, the benefits of the above method include: simplifying system design and improving system flexibility and robustness.

[0454] As an embodiment, "the type of the first channel information depends on the target parameter" includes: the type of the first channel information depends on the size relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[0455] As an embodiment, "the type of the first channel information depends on the target parameter" includes: the type of the first channel information depends on the functional relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[0456] As an embodiment, "the type of the first channel information depends on the target parameter" includes: the type of the first channel information depends on the logical relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[0457] As an embodiment, "the type of the first channel information depends on the target parameter" includes: the type of the first channel information depends on the dependency relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[0458] As an embodiment, "the type of the first channel information depends on the target parameter" includes: the type of the first channel information depends on the subordination between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[0459] As an embodiment, the benefits of the above method include: simplifying system design and reducing system implementation complexity by means of the relationship between the target parameter and the at least one threshold.

[0460] As an embodiment, the benefits of the above method include: increasing the scenarios in which the system is applicable and improving the flexibility and robustness of the system.

[0461] As an embodiment, the “at least one decoding is used to generate the target parameter” includes: the output of the at least one decoding is used to generate the target parameter.

[0462] As an embodiment, the “at least one decoding is used to generate the target parameter” includes: the output of the at least one decoding is directly used to generate the target parameter.

[0463] As an embodiment, the “at least one decoding is used to generate the target parameter” includes: the output of the at least one decoding is indirectly used to generate the target parameter.

[0464] As an embodiment, the “at least one decoding is used to generate the target parameter” includes: the output of the at least one decoding is used to generate the target parameter after mathematical operation.

[0465] As an embodiment, the “at least one decoding is used to generate the target parameter” includes: all or part of the data included in the at least one decoding is used to generate the target parameter.

[0466] As an embodiment, the “at least one decoding is used to generate the target parameter” includes: all or part of the data included in the at least one decoding is directly used to generate the target parameter.

[0467] As an embodiment, the “at least one decoding is used to generate the target parameter” includes: all or part of the data included in the at least one decoding is indirectly used to generate the target parameter.

[0468] As an embodiment, the “at least one decoding is used to generate the target parameter” includes: all or part of the data included in the at least one decoding is used to generate the target parameter after mathematical operation.

[0469] As an embodiment, the “at least one decoding is used to generate the target parameter” includes: all or part of the information associated with the at least one decoding is used to generate the target parameter.

[0470] As an embodiment, the “at least one decoding is used to generate the target parameter” includes: all or part of the information associated with the at least one decoding is directly used to generate the target parameter.

[0471] As an embodiment, the “at least one decoding is used to generate the target parameter” includes: all or part of the information associated with the at least one decoding is indirectly used to generate the target parameter.

[0472] As an embodiment, the “at least one decoding is used to generate the target parameter” includes: all or part of the information associated with the at least one decoding is used to generate the target parameter after mathematical operation.

[0473] As an embodiment, the benefits of the above method include: improving the flexibility, robustness and backward compatibility of the system.

[0474] As an embodiment, the at least one decoding includes a first decoding.

[0475] As an embodiment, the at least one decoding comprises a first decoding, and the first decoding is performed at a sender of the first information block.

[0476] As an embodiment, the at least one decoding includes only the first decoding.

[0477] As an embodiment, the at least one decoding comprises only a first decoding, and the first decoding is performed at a sender of the first information block.

[0478] As a sub-embodiment of the above embodiment, the first decoding is obtained based on training.

[0479] As a sub-embodiment of the above embodiment, the first decoding is based on a codebook.

[0480] As a sub-embodiment of the above embodiment, the output of the first decoding includes a first parameter, and the first parameter is used to generate the target parameter.

[0481] As a sub-embodiment of the above embodiment, the output of the first decoding includes a second parameter, and the second parameter is used to generate the target parameter.

[0482] As a sub-embodiment of the above embodiment, the output of the first decoding includes a first parameter and a second parameter, and the first parameter and the second parameter are used to generate the target parameter.

[0483] As a sub-embodiment of the above embodiment, the output of the first decoding is used to generate a first parameter, and the first parameter is used to generate the target parameter.

[0484] As a sub-embodiment of the above embodiment, the output of the first decoding is used to generate a second parameter, and the second parameter is used to generate the target parameter.

[0485] As a sub-embodiment of the above embodiment, the output of the first decoding is used to generate a first parameter and a second parameter, and the first parameter and the second parameter are used to generate the target parameter.

[0486] As an embodiment, the at least one decoding includes a first reference decoding.

[0487] As an embodiment, the at least one decoding includes a first reference decoding, and the first reference decoding is performed at the first node.

[0488] As an embodiment, the at least one decoding includes only the first reference decoding.

[0489] As an embodiment, the at least one decoding includes only a first reference decoding, and the first reference decoding is performed at the first node.

[0490] As a sub-embodiment of the above embodiment, the first reference decoding is obtained based on training.

[0491] As a sub-embodiment of the above embodiment, the first reference decoding is based on a codebook.

[0492] As a sub-embodiment of the above embodiment, the output of the first reference decoding includes a first parameter, and the first parameter is used to generate the target parameter.

[0493] As a sub-embodiment of the above embodiment, the output of the first reference decoding includes a second parameter, and the second parameter is used to generate the target parameter.

[0494] As a sub-embodiment of the above embodiment, the output of the first reference decoding includes a first parameter and a second parameter, and the first parameter and the second parameter are used to generate the target parameter.

[0495] As a sub-embodiment of the above embodiment, the output of the first reference decoding is used to generate a first parameter, and the first parameter is used to generate the target parameter.

[0496] As a sub-embodiment of the above embodiment, the output of the first reference decoding is used to generate a second parameter, and the second parameter is used to generate the target parameter.

[0497] As a sub-embodiment of the above embodiment, the output of the first reference decoding is used to generate a first parameter and a second parameter, and the first parameter and the second parameter are used to generate the target parameter.

[0498] As an embodiment, the at least one decoding includes at least one of a first decoding and a first reference decoding.

[0499] As an embodiment, the at least one decoding includes at least one of a first decoding and a first reference decoding, and the first decoding and the first reference decoding are performed at a sender of the first information block and the first node, respectively.

[0500] As an embodiment, the at least one decoding includes a first decoding and a first reference decoding.

[0501] As an embodiment, the at least one decoding includes a first decoding and a first reference decoding, and the first decoding and the first reference decoding are performed at a sender of the first information block and the first node, respectively.

[0502] As a sub-embodiment of the above embodiment, the first decoding and the first reference decoding are obtained based on training.

[0503] As a sub-embodiment of the above embodiment, the first decoding is obtained based on training; and the first reference decoding is based on a codebook.

[0504] As a sub-embodiment of the above embodiment, the first decoding is based on a codebook; and the first reference decoding is obtained based on training.

[0505] As a sub-embodiment of the above embodiment, the first decoding and the first reference decoding are based on a codebook.

[0506] As a sub-embodiment of the above embodiment, the output of the first decoding includes a first parameter, the output of the first reference decoding includes a second parameter, and the first parameter and the second parameter are used to generate the target parameter.

[0507] As a sub-embodiment of the above embodiment, the output of the first decoding includes a second parameter, the output of the first reference decoding includes a first parameter, and the first parameter and the second parameter are used to generate the target parameter.

[0508] As a sub-embodiment of the above embodiment, outputs of the first decoding and the first reference decoding are used to generate first parameters, and the first parameters are used to generate the target parameters.

[0509] As a sub-embodiment of the above embodiment, outputs of the first decoding and the first reference decoding are used to generate second parameters, and the second parameters are used to generate the target parameters.

[0510] As a sub-embodiment of the above embodiment, outputs of the first decoding and the first reference decoding are used to generate a first parameter and a second parameter, and the first parameter and the second parameter are used to generate the target parameter.

[0511] As a sub-embodiment of the above embodiment, the output of the first decoding is used to generate a first parameter, the output of the first reference decoding is used to generate a second parameter, and the first parameter and the second parameter are used to generate the target parameter.

[0512] As a sub-embodiment of the above embodiment, the output of the first decoding is used to generate the second parameter, the output of the first reference decoding is used to generate the first parameter, and the first parameter and the second parameter are used to generate the target parameter.

[0513] As a sub-embodiment of the above embodiment, the output of the first decoding is used to generate a first parameter and a second parameter, the output of the first reference decoding is used to generate a first parameter, and the first parameter and the second parameter are used to generate the target parameter.

[0514] As a sub-embodiment of the above embodiment, the output of the first decoding is used to generate a first parameter and a second parameter, the output of the first reference decoding is used to generate a second parameter, and the first parameter and the second parameter are used to generate the target parameter.

[0515] As a sub-embodiment of the above embodiment, the output of the first decoding is used to generate a first parameter, the output of the first reference decoding is used to generate a first parameter and a second parameter, and the first parameter and the second parameter are used to generate the target parameter.

[0516] As a sub-embodiment of the above embodiment, the output of the first decoding is used to generate a second parameter, the output of the first reference decoding is used to generate a first parameter and a second parameter, and the first parameter and the second parameter are used to generate the target parameter.

[0517] As an embodiment, the benefits of the above method include: improving the flexibility, robustness and backward compatibility of the system.

[0518] Example 2

[0519] Embodiment 2 illustrates a schematic diagram of a network architecture according to an embodiment of the present application, as shown in the attached Figure 2 shown.

[0520] Attached Figure 2 The network architecture 200 of LTE (Long-Term Evolution), LTE-A (Long-Term Evolution Advanced) and future 5G systems is illustrated. The network architecture 200 of LTE, LTE-A and future 5G systems is called EPS (Evolved Packet System) 200. The 5G NR or LTE network architecture 200 may be referred to as 5GS (5G System) / EPS (Evolved Packet System) 200 or some other suitable terminology. 5GS / EPS200 may include one or more UEs (User Equipment) 201, a UE 241 communicating with UE 201 via a sidelink, NG-RAN (Next Generation Radio Access Network) 202, 5GC (5G Core Network) / EPC (Evolved Packet Core) 210, HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and Internet service 230. 5GS / EPS200 may be interconnected with other access networks, but these entities / interfaces are not shown for simplicity. Figure 2As shown, 5GS / EPS200 provides packet switching services, however, those skilled in the art will readily appreciate that the various concepts presented throughout this application can be extended to networks that provide circuit switching services. NG-RAN202 includes NR (New Radio) Node B (gNB) 203 and other gNBs204. gNB203 provides user and control plane protocol terminations toward UE201. gNB203 can be connected to other gNBs204 via an Xn interface (e.g., backhaul). gNB203 may also be referred to as a base station, a base transceiver station, a radio base station, a radio transceiver, a transceiver function, a basic service set (BSS), an extended service set (ESS), a TRP (transmit receive point), or some other suitable term. gNB203 provides an access point to 5GC / EPC210 for UE201. Examples of UE 201 include cellular phones, smart phones, session initiation protocol (SIP) phones, laptop computers, personal digital assistants (PDAs), satellite radios, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, drones, aircraft, narrowband physical network devices, machine type communication devices, land vehicles, cars, wearable devices, or any other similar functional devices. Those skilled in the art may also refer to UE 201 as a mobile station, a subscriber station, a mobile unit, a subscriber unit, a wireless unit, a remote unit, a mobile device, a wireless device, a wireless communication device, a remote device, a mobile subscriber station, an access terminal, a mobile terminal, a wireless terminal, a remote terminal, a handset, a user agent, a mobile client, a client, or some other suitable term. gNB203 is connected to 5GC / EPC210 via S1 / NG interface. 5GC / EPC210 includes MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MME / AMF / SMF214, S-GW (Service Gateway) / UPF (User Plane Function) 212, and P-GW (Packet Data Network Gateway) / UPF213. MME / AMF / SMF211 is a control node that handles signaling between UE201 and 5GC / EPC210. ​​In general, MME / AMF / SMF211 provides bearer and connection management.All user IP (Internet Protocol) packets are transmitted through S-GW / UPF212, which is itself connected to P-GW / UPF213. P-GW provides UE IP address allocation and other functions. P-GW / UPF213 is connected to Internet service 230. Internet service 230 includes operator-corresponding Internet protocol services, which may specifically include Internet, Intranet, IMS (IP Multimedia Subsystem) and Packet switching services.

[0521] As an embodiment, the UE201 corresponds to the first node in the present application.

[0522] As an embodiment, the gNB203 corresponds to the second node in this application.

[0523] As an embodiment, the wireless link between the UE201 and the gNB203 includes a cellular network link.

[0524] As an embodiment, the sender of the first information block includes the gNB203.

[0525] As an embodiment, the receiver of the first information block includes the UE201.

[0526] As an embodiment, the sender of the second information block includes the gNB203.

[0527] As an embodiment, the receiver of the second information block includes the UE201.

[0528] As an embodiment, the sender of the RS in the first RS resource set includes the gNB203.

[0529] As an embodiment, the receiver of the RS in the first RS resource set includes the UE201.

[0530] As an embodiment, the sender of the RS in the second RS resource set includes the gNB203.

[0531] As an embodiment, the receiver of the RS in the second RS resource set includes the UE201.

[0532] As an embodiment, the sender of the first channel information includes the UE201.

[0533] As an embodiment, the receiver of the first channel information includes the gNB203.

[0534] As an embodiment, the sender of the second channel information includes the UE201.

[0535] As an embodiment, the receiver of the second channel information includes the gNB203.

[0536] As an embodiment, the UE 201 supports codebook-based CSI reporting.

[0537] As an embodiment, the gNB203 supports codebook-based CSI recovery.

[0538] As an embodiment, the UE 201 supports generating and reporting CSI using the 3GPP Type I codebook.

[0539] As an embodiment, the gNB203 supports recovery of CSI based on the 3GPP Type I codebook.

[0540] As an embodiment, the UE 201 supports generating and reporting CSI using the 3GPP Type II codebook.

[0541] As an embodiment, the gNB203 supports recovery of CSI based on the 3GPP Type II codebook.

[0542] As an embodiment, the UE 201 supports generating CSI reports using AI / ML.

[0543] As an embodiment, the UE 201 supports generating a trained model using training data or generating part of parameters in the trained model using trained data.

[0544] As an embodiment, the UE201 supports generating a trained model using training data and generating CSI using the model.

[0545] As an embodiment, the UE 201 supports determining at least part of the parameters of the AI / ML model for CSI reconstruction through training.

[0546] As an embodiment, the gNB203 supports generating reports using AI / ML.

[0547] As an embodiment, the gNB203 supports recovery of CSI based on AI or deep learning.

[0548] As an embodiment, the gNB203 supports generating a trained model using training data or generating partial parameters of the trained model using the trained data.

[0549] As an embodiment, the gNB203 supports determining at least part of the parameters of the AI / ML model for CSI reconstruction through training.

[0550] As an embodiment, the UE 201 is a terminal supporting MIMO.

[0551] As an embodiment, the gNB203 supports MIMO-based transmission.

[0552] As an embodiment, the UE201 supports prediction of CSI using AI or deep learning.

[0553] As an embodiment, the UE201 supports compression of CSI using AI or deep learning.

[0554] As an embodiment, the UE201 supports prediction and compression of CSI using AI or deep learning.

[0555] As an embodiment, the gNB203 supports decompression of CSI using AI or deep learning.

[0556] As an embodiment, the gNB203 is a macrocellular base station.

[0557] As an embodiment, the gNB203 is a micro cell base station.

[0558] As an embodiment, the gNB203 is a picoCell base station.

[0559] As an embodiment, the gNB203 is a home base station (Femtocell).

[0560] As an embodiment, the gNB203 is a base station device that supports large delay difference.

[0561] As an embodiment, the gNB203 is a flying platform device.

[0562] As an embodiment, the gNB203 is a satellite device.

[0563] As an embodiment, the first node and the second node in the present application are the UE201 and the gNB203 respectively.

[0564] Example 3

[0565] Embodiment 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture of a user plane and a control plane according to an embodiment of the present application, as shown in the attached figure. Figure 3shown.

[0566] Embodiment 3 shows a schematic diagram of an embodiment of a wireless protocol architecture of a user plane and a control plane according to the present application, as shown in the attached Figure 3 shown. Figure 3 is a schematic diagram illustrating an embodiment of a radio protocol architecture for a user plane 350 and a control plane 300, Figure 3The radio protocol architecture of the control plane 300 for a first communication node device (UE, gNB or RSU in V2X) and a second communication node device (gNB, UE or RSU in V2X), or between two UEs is shown in 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. The L1 layer will be referred to as PHY301 in this article. Layer 2 (L2 layer) 305 is above PHY301 and is responsible for the link between the first communication node device and the second communication node device, or between two UEs. The L2 layer 305 includes a MAC (Medium Access Control) sublayer 302, an RLC (Radio Link Control) sublayer 303, and a 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. The PDCP sublayer 304 also provides security by encrypting data packets, and provides support for inter-zone mobility of the first communication node device between the second communication node device. The RLC sublayer 303 provides segmentation and reassembly of upper layer data packets, retransmission of lost data packets, and reordering of data packets to compensate for out-of-order reception due to HARQ. The MAC sublayer 302 provides multiplexing between logical and transport channels. The MAC sublayer 302 is also responsible for allocating various radio resources (e.g., resource blocks) in a cell between the first communication node devices. The MAC sublayer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sublayer 306 in layer 3 (L3 layer) in the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and configuring the lower layer using RRC signaling between the second communication node device and the first communication node device. The radio protocol architecture of the user plane 350 includes layer 1 (L1 layer) and layer 2 (L2 layer). The radio protocol architecture used for the first communication node device and the second communication node device in the user plane 350 is substantially the same as the corresponding layers and sublayers in the control plane 300 for the physical layer 351, the PDCP sublayer 354 in the L2 layer 355, the RLC sublayer 353 in the L2 layer 355, and the MAC sublayer 352 in the L2 layer 355, but the PDCP sublayer 354 also provides header compression for upper layer data packets to reduce radio transmission overhead.The L2 layer 355 in the user plane 350 also includes a SDAP (Service Data Adaptation Protocol) sublayer 356, which is responsible for mapping between QoS flows and data radio bearers (DRBs) to support the diversity of services. Although not shown in the figure, the first communication node device may have several upper layers above the L2 layer 355, including a network layer (e.g., an IP layer) terminated at the P-GW on the network side and an application layer terminated at the other end of the connection (e.g., a remote UE, a server, etc.).

[0567] As an example, Figure 3 The wireless protocol architecture in is applicable to the first node in this application.

[0568] As an example, Figure 3 The wireless protocol architecture in is applicable to the second node in this application.

[0569] As an embodiment, the first information block in the present application is generated in the RRC sublayer 306.

[0570] As an embodiment, the first information block in the present application is generated in the MAC sublayer 302.

[0571] As an embodiment, the first information block in the present application is generated in the MAC sublayer 352.

[0572] As an embodiment, the first information block in the present application is generated in the PHY301.

[0573] As an embodiment, the first information block in the present application is generated by the PHY351.

[0574] As an embodiment, the second information block in the present application is generated in the RRC sublayer 306.

[0575] As an embodiment, the second information block in the present application is generated in the MAC sublayer 302.

[0576] As an embodiment, the second information block in the present application is generated in the MAC sublayer 352.

[0577] As an embodiment, the second information block in the present application is generated in the PHY301.

[0578] As an embodiment, the second information block in the present application is generated by the PHY351.

[0579] As an embodiment, the RS in the first RS resource set in the present application is generated in the PHY301 or the PHY351.

[0580] As an embodiment, the RS in the second RS resource set in the present application is generated in the PHY301 or the PHY351.

[0581] As an embodiment, the first channel information in the present application is generated in the PHY301 or the PHY351.

[0582] As an embodiment, the second channel information in the present application is generated in the PHY301 or the PHY351.

[0583] As an embodiment, the higher layer in the present application refers to a layer above the physical layer.

[0584] As an embodiment, the higher layer in the present application refers to the MAC layer.

[0585] As an embodiment, the higher layer in the present application refers to the physical layer.

[0586] As an embodiment, the higher layer in the present application refers to the MAC layer or the physical layer.

[0587] Example 4

[0588] Embodiment 4 illustrates a schematic diagram of a first communication device and a second communication device according to an embodiment of the present application, as shown in the attached figure. Figure 4 Attached Figure 4 is a block diagram of a first communication device 410 and a second communication device 450 communicating with each other in an access network.

[0589] The first communication device 410 includes a controller / processor 475 , a memory 476 , a receive processor 470 , a transmit processor 416 , a multi-antenna receive processor 472 , a multi-antenna transmit processor 471 , a transmitter / receiver 418 and an antenna 420 .

[0590] The second communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmit processor 468, a receive processor 456, a multi-antenna transmit processor 457, a multi-antenna receive processor 458, a transmitter / receiver 454 and an antenna 452.

[0591] In 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 the functionality of the L2 layer. In the DL, the controller / processor 475 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and allocation of radio resources to the second communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the second communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for the L1 layer (i.e., the physical layer). The transmit processor 416 implements coding and interleaving to facilitate forward error correction (FEC) at the second communication device 450, as well as constellation mapping based on various modulation schemes (e.g., binary phase shift keying (BPSK), quadrature phase shift keying (QPSK), M-phase shift keying (M-PSK), M-quadrature amplitude modulation (M-QAM)). The multi-antenna transmit processor 471 performs digital spatial precoding, including codebook-based precoding and non-codebook-based precoding, and beamforming processing on the coded and modulated symbols to generate one or more parallel streams. 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 domain and / or frequency domain, and then uses an inverse fast Fourier transform (IFFT) to generate a physical channel carrying a time-domain multi-carrier symbol stream. The multi-antenna transmit processor 471 then performs a transmit analog precoding / beamforming operation on the time-domain multi-carrier symbol stream. Each transmitter 418 converts the baseband multi-carrier symbol stream provided by the multi-antenna transmit processor 471 into a radio frequency stream, and then provides it to a different antenna 420.

[0592] 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 RF carrier and converts the RF stream into a baseband multi-carrier symbol stream and provides it to the receiving processor 456. The receiving processor 456 and the multi-antenna receiving processor 458 implement various signal processing functions of the L1 layer. The multi-antenna receiving processor 458 performs a receiving analog precoding / beamforming operation on the baseband multi-carrier symbol stream from the receiver 454. The receiving processor 456 uses a fast Fourier transform (FFT) to convert the baseband multi-carrier symbol stream after the receiving analog precoding / beamforming operation 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 receiving processor 456, wherein the reference signal will be used for channel estimation, and the data signal is recovered after multi-antenna detection in the multi-antenna receiving processor 458 to any parallel stream destined for the second communication device 450. The symbols on each parallel stream are demodulated and recovered in the receiving processor 456, and soft decisions are generated. The receiving processor 456 then decodes and deinterleaves the soft decisions to recover the upper layer data and control signals transmitted by the first communication device 410 on the physical channel. The upper layer data and control signals are then provided to the controller / processor 459. The controller / processor 459 implements the functions of the L2 layer. The controller / processor 459 may be associated with a memory 460 storing program codes and data. The memory 460 may be referred to as a computer-readable medium. In DL, the controller / processor 459 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transmission and logical channels to recover the upper layer data packets from the core network. The upper layer data packets are then provided to all protocol layers above the L2 layer. Various control signals may also be provided to L3 for L3 processing. The controller / processor 459 is also responsible for error detection using confirmation (ACK) and / or negative confirmation (NACK) protocols to support HARQ operations.

[0593] 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 function at the first communication device 410 described in 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, and implements L2 layer functions for the user plane and the control plane. The controller / processor 459 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the first communication device 410. The transmit processor 468 performs modulation mapping and channel coding processing, and the multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based precoding and non-codebook-based precoding, and beamforming processing. Then, the transmit processor 468 modulates the generated parallel stream into a multi-carrier / single-carrier symbol stream, which is then provided to different antennas 452 via the transmitter 454 after analog precoding / beamforming operations in the multi-antenna transmit processor 457. Each transmitter 454 first converts the baseband symbol stream provided by the multi-antenna transmit processor 457 into a radio frequency symbol stream, and then provides it to the antenna 452.

[0594] 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 reception 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 a radio frequency signal through its corresponding antenna 420, converts the received radio frequency signal into a baseband signal, and provides the baseband signal to the multi-antenna reception processor 472 and the reception processor 470. The reception processor 470 and the multi-antenna reception processor 472 jointly implement the functions of the L1 layer. The controller / processor 475 implements the L2 layer functions. The controller / processor 475 can be associated with a memory 476 that stores program codes and data. The memory 476 can be referred to as a computer-readable medium. The controller / processor 475 provides demultiplexing between transmission and logical channels, packet reassembly, decryption, header decompression, control signal processing to recover the upper layer data packets from the second communication device 450. The upper layer data packets from the controller / processor 475 can be provided to the core network. The controller / processor 475 is also responsible for error detection using an ACK and / or NACK protocol to support HARQ operations.

[0595] As an embodiment, the second communication device 450 includes: at least one processor and at least one memory, the at least one memory includes computer program code; the at least one memory and the computer program code are configured to be used together with the at least one processor. The second communication device 450 device at least: receives a first information block; sends first channel information; wherein the first information block is used to indicate a first RS resource set, the first RS resource set includes one or more RS resources; the measurement of at least one RS resource in the first RS resource set is used to generate the first channel information; at least one of the load size of the first channel information or the type of the first channel information depends on the target parameter, at least one decoding is used to generate the target parameter, and the at least one decoding is based on training.

[0596] As an embodiment, the second communication device 450 includes: a memory storing a computer-readable instruction program, wherein the computer-readable instruction program generates actions when executed by at least one processor, and the actions include: receiving a first information block; sending first channel information; wherein the first information block is used to indicate a first RS resource set, and the first RS resource set includes one or more RS resources; measurement of at least one RS resource in the first RS resource set is used to generate the first channel information; at least one of the load size of the first channel information or the type of the first channel information depends on a target parameter, and at least one decoding is used to generate the target parameter, and the at least one decoding is based on training.

[0597] As an embodiment, the first communication device 410 includes: at least one processor and at least one memory, the at least one memory includes computer program code; the at least one memory and the computer program code are configured to be used together with the at least one processor. The first communication device 410 device at least: sends a first information block; receives first channel information; wherein the first information block is used to indicate a first RS resource set, the first RS resource set includes one or more RS resources; the measurement of at least one RS resource in the first RS resource set is used to generate the first channel information; at least one of the load size of the first channel information or the type of the first channel information depends on the target parameter, at least one decoding is used to generate the target parameter, and the at least one decoding is based on training.

[0598] As an embodiment, the first communication device 410 includes: a memory storing a computer-readable instruction program, wherein the computer-readable instruction program generates actions when executed by at least one processor, and the actions include: sending a first information block; receiving first channel information; wherein the first information block is used to indicate a first RS resource set, and the first RS resource set includes one or more RS resources; measurement of at least one RS resource in the first RS resource set is used to generate the first channel information; at least one of the load size of the first channel information or the type of the first channel information depends on a target parameter, and at least one decoding is used to generate the target parameter, and the at least one decoding is based on training.

[0599] As an embodiment, the first node in the present application includes the second communication device 450.

[0600] As an embodiment, the second node in the present application includes the first communication device 410.

[0601] As an embodiment, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first information block in the present application; and 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 send the first information block in the present application.

[0602] As an embodiment, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the second information block in the present application; and 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 send the second information block in the present application.

[0603] As an embodiment, at least one of {the antenna 452, the receiver 454, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive RS in the first RS resource set; at least one of {the antenna 420, the transmitter 418, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, and the memory 476} is used to send RS in the first RS resource set.

[0604] As an embodiment, at least one of {the antenna 452, the receiver 454, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive RS in the second RS resource set; at least one of {the antenna 420, the transmitter 418, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, and the memory 476} is used to send RS in the second RS resource set.

[0605] As an embodiment, at least one of {the antenna 452, the transmitter 454, the transmit processor 468, the multi-antenna transmit processor 457, the controller / processor 459, and the memory 460} is used to send the first channel information in the present application; at least one of {the antenna 420, the receiver 418, the receive processor 470, the multi-antenna receive processor 472, the controller / processor 475, and the memory 476} is used to receive the first channel information in the present application.

[0606] As an embodiment, at least one of {the antenna 452, the transmitter 454, the transmit processor 468, the multi-antenna transmit processor 457, the controller / processor 459, and the memory 460} is used to send the second channel information in the present application; at least one of {the antenna 420, the receiver 418, the receive processor 470, the multi-antenna receive processor 472, the controller / processor 475, and the memory 476} is used to receive the second channel information in the present application.

[0607] Example 5

[0608] Embodiment 5 illustrates a flowchart of wireless transmission according to an embodiment of the present application, as shown in the attached Figure 5 As shown in the attached Figure 5In the example, the first node U01 and the second node N02 are two communication nodes transmitted via an air interface, wherein the steps in blocks F51 to F52 are optional. In particular, the order of the steps in the blocks does not represent a specific time sequence between the steps.

[0609] For the first node U01, in step S5101, a first information block is received; in step S5102, a second information block is received; in step S5103, first channel information is sent; in step S5104, second channel information is sent.

[0610] For the second node N02, in step S5201, the first information block is sent; in step S5202, the second information block is sent; in step S5203, the first channel information is received; in step S5204, the second channel information is received.

[0611] In embodiment 5, the first information block is used to indicate a first RS resource set, and the first RS resource set includes one or more RS resources; measurement of at least one RS resource in the first RS resource set is used to generate the first channel information; at least one of the load size of the first channel information or the type of the first channel information depends on a target parameter, and at least one decoding is used to generate the target parameter, and the at least one decoding is based on training.

[0612] As an embodiment, the method in the first node includes:

[0613] RS is received in the first RS resource set.

[0614] As an embodiment, the first receiver receives RS in the first RS resource set.

[0615] As an embodiment, the method in the second node includes:

[0616] RS is sent in the first RS resource set.

[0617] As an embodiment, the second transmitter sends RS in the first RS resource set.

[0618] As an embodiment, the first node U01 is the first node in this application.

[0619] As an embodiment, the second node N02 is the second node in this application.

[0620] As an embodiment, the air interface between the second node N02 and the first node U01 includes a wireless interface between a base station and a user equipment.

[0621] As an embodiment, the air interface between the second node N02 and the first node U01 includes a wireless interface between a relay node and a user equipment.

[0622] As an embodiment, the air interface between the second node N02 and the first node U01 includes a wireless interface between user equipments.

[0623] As an embodiment, the second node N02 is a service cell maintaining base station of the first node U01.

[0624] As an embodiment, the base station includes at least one of a gNB or a TRP.

[0625] As an embodiment, the steps in block F51 do not exist.

[0626] As an embodiment, the steps in block F51 exist.

[0627] As an embodiment, the steps in block F52 do not exist.

[0628] As an embodiment, the steps in block F52 exist.

[0629] As an embodiment, the step in block F51 exists; the step in block F52 does not exist.

[0630] As an embodiment, the step in block F51 does not exist; the step in block F52 exists.

[0631] As an embodiment, steps in blocks F51 and F52 do not exist.

[0632] As an embodiment, both the steps in box F51 and box F52 exist.

[0633] As an embodiment, the steps in blocks F51 to F52 all exist.

[0634] As an embodiment, none of the steps in blocks F51 to F52 exist.

[0635] As an embodiment, the second information block depends on the target parameter.

[0636] As an embodiment, the second information block carries the target parameter.

[0637] As an embodiment, the second information block contains information related to the target parameter.

[0638] As an embodiment, the target parameter depends on the second information block.

[0639] As an embodiment, the second information block and the first information block are received simultaneously.

[0640] As an embodiment, the second information block and the first information block are not received at the same time.

[0641] As an embodiment, the second information block is received later than the first information block.

[0642] As an embodiment, the second information block is received no later than the first information block is received.

[0643] As an embodiment, the first information block is transmitted on PDSCH (Physical downlink shared channel).

[0644] As an embodiment, the second information block is transmitted on PDSCH (Physical downlink shared channel).

[0645] As an embodiment, the above-mentioned method in the second node used for wireless communication includes: sending RS in at least one RS resource among multiple RS resources.

[0646] As an embodiment, the above method in the first node used for wireless communication includes: receiving at least one RS resource among the multiple RS resources.

[0647] As an embodiment, at least one RS resource among the multiple RS resources is used by the first node U01 for channel measurement.

[0648] As an embodiment, a sender of at least one RS resource among the multiple RS resources is different from the second node N02.

[0649] As an embodiment, the sender of only part of the RS resources among the multiple RS resources is the second node N02.

[0650] As an embodiment, a sender of an RS resource refers to: a sender of an RS transmitted in the RS resource.

[0651] As an embodiment, the transmission timing of the CSI reference resource in the first RS resource set that is no later than the first channel information is used by the first node U01 to obtain channel measurement for calculating the first channel information.

[0652] As an embodiment, the transmission timing of the CSI reference resource in the second RS resource set that is no later than that of the first channel information is used by the first node U01 to obtain interference measurement for calculating the first channel information.

[0653] As an embodiment, at least one RS resource among the multiple RS resources is used by the first node U01 for channel measurement.

[0654] As an embodiment, at least one RS resource among the multiple RS resources is used by the first node U01 for channel measurement, and a sender of each RS resource among the at least one RS resource is different from the second node N02.

[0655] As an embodiment, the first channel information is based on a codebook.

[0656] As an embodiment, the first channel information is based on a Type I codebook.

[0657] As an embodiment, the first channel information is based on a Type II codebook.

[0658] As an embodiment, the first channel information is based on AI / ML.

[0659] As an embodiment, the first channel information is obtained based on training.

[0660] As an embodiment, the first channel information depends on a first code, and the first code is obtained based on training.

[0661] As an embodiment, the second channel information is based on a codebook.

[0662] As an embodiment, the second channel information is based on a Type I codebook.

[0663] As an embodiment, the second channel information is based on a Type II codebook.

[0664] As an embodiment, the second channel information is based on AI / ML.

[0665] As an embodiment, the second channel information is obtained based on training.

[0666] As an embodiment, the second channel information depends on a first code, and the first code is obtained based on training.

[0667] As an embodiment, the first channel information report is transmitted on PUCCH (Physical Uplink Control Channel).

[0668] As an embodiment, the first channel information report is transmitted on PUSCH (Physical Uplink Shared Channel).

[0669] As an embodiment, the second channel information report is transmitted on PUCCH (Physical Uplink Control Channel).

[0670] As an embodiment, the second channel information report is transmitted on PUSCH (Physical Uplink Shared Channel).

[0671] As an embodiment, the first channel information and the second channel information are both transmitted on PUSCH (Physical Uplink Shared Channel).

[0672] As an embodiment, the first channel information and the second channel information are both transmitted on PUCCH (Physical Uplink Control Channel).

[0673] As an embodiment, the first channel information is transmitted on the PUCCH, and the second channel information is transmitted on the PUSCH.

[0674] As an embodiment, the first channel information I is transmitted on PUSCH, and the second channel information is transmitted on PUCCH.

[0675] As an embodiment, the first channel information and the second channel information I are transmitted on the same physical channel.

[0676] As a sub-embodiment of the above embodiment, the same physical channel is PUSCH.

[0677] As a sub-embodiment of the above embodiment, the same physical channel is PUCCH.

[0678] As an embodiment, the first channel information and the second channel information are transmitted on two different physical channels.

[0679] As a sub-embodiment of the above embodiment, the two different physical channels are two PUSCHs.

[0680] As a sub-embodiment of the above embodiment, the two different physical channels are two PUCCHs.

[0681] As a sub-embodiment of the above embodiment, the two different physical channels are a PUSCH and a PUCCH.

[0682] As a sub-embodiment of the above embodiment, the first channel information is sent earlier than the second channel information is sent.

[0683] Examples 6A-6C

[0684] Embodiments 6A-6C respectively illustrate schematic diagrams of at least one decoding according to an embodiment of the present application; Figures 6A-6C shown.

[0685] In embodiment 6A, the at least one decoding includes only a first decoding, and the first decoding is performed at a sender of the first information block.

[0686] In embodiment 6B, the at least one decoding includes only a first reference decoding, and the first reference decoding is performed at the first node.

[0687] In embodiment 6C, the at least one decoding includes a first decoding and a first reference decoding, and the first decoding and the first reference decoding are performed at a sender of the first information block and the first node, respectively.

[0688] As an embodiment, the benefits of the above method include: compatibility with different usage scenarios, and improved flexibility, robustness, and backward compatibility of the system.

[0689] As an embodiment, the "execution" includes: using.

[0690] As an embodiment, the "execution" includes: generating.

[0691] As an embodiment, the “execution” includes: updating.

[0692] As an embodiment, the "execution" includes: maintenance.

[0693] As an embodiment, the “execution” includes: adjustment.

[0694] As an embodiment, the “execution” includes: training.

[0695] As an embodiment, the “execution” includes: at least one of using, generating, updating, maintaining, adjusting, and training.

[0696] As an embodiment, the first decoding is based on a codebook.

[0697] As an embodiment, the first decoding is based on a Type I codebook.

[0698] As an embodiment, the first decoding is based on a Type II codebook.

[0699] As an embodiment, the first decoding is based on AI / ML.

[0700] As an embodiment, the first decoding is based on a neural network.

[0701] As an embodiment, the first decoding is based on CNN (Conventional Neural Networks).

[0702] As an embodiment, the first decoding is based on a feedforward neural network.

[0703] As an embodiment, the first decoding is based on a recurrent neural network (RNN).

[0704] As an embodiment, the first decoding is based on a transformer model neural network.

[0705] As an embodiment, the first decoding is based on a generative adversarial network (GAN).

[0706] As an embodiment, the first decoding is based on an autoencoder (AE).

[0707] As an embodiment, the first decoding is obtained based on training.

[0708] As an embodiment, the training or generation or maintenance or updating or adjustment of the first decoding is performed by the sender of the first information block.

[0709] As an embodiment, the training or generation or maintenance or updating or adjustment of the first decoding is performed by the sender of the first information block and only requires the participation of the sender of the first information block.

[0710] As an embodiment, the training or generation or maintenance or updating or adjustment of the first decoding is performed by the sender of the first information block, and furthermore, the participation of the first node is required.

[0711] As an embodiment, the training or generation or maintenance or updating or adjustment of the first decoding is performed at the first node.

[0712] As an embodiment, the training or generation or maintenance or update or adjustment of the first decoding is performed at the first node and only requires the participation of the first node.

[0713] As an embodiment, the training or generation or maintenance or updating or adjustment of the first decoding is performed at the first node, and participation of the sender of the first information block is also required.

[0714] As an embodiment, the training or generation or maintenance or updating or adjustment of the first decoding is performed at the first node and the sender of the first information block.

[0715] As an embodiment, the training or generation or maintenance or updating or adjustment of the first decoding is performed in at least one of the first node and the sender of the first information block.

[0716] As an embodiment, the training or generation or maintenance or update or adjustment of the first decoding requires the joint participation of the first node and the sender of the first information block.

[0717] As an embodiment, the training or generation or maintenance or updating or adjustment of the first decoding requires information interaction between the first node and the sender of the first information block.

[0718] As an embodiment, the first reference decoding is based on a codebook.

[0719] As an embodiment, the first reference decoding is based on a Type I codebook.

[0720] As an embodiment, the first reference decoding is based on a Type II codebook.

[0721] As an embodiment, the first reference decoding is based on AI / ML.

[0722] As an embodiment, the first parameter decoding is based on a neural network.

[0723] As an embodiment, the first parameter decoding is based on CNN (Conventional Neural Networks).

[0724] As an embodiment, the first parameter decoding is based on a feedforward neural network.

[0725] As an embodiment, the first parameter decoding is based on a recurrent neural network (RNN).

[0726] As an embodiment, the first parameter decoding is based on a transformer model neural network.

[0727] As an embodiment, the first parameter decoding is based on a generative adversarial network (GAN).

[0728] As an embodiment, the first parameter decoding is based on an autoencoder (AE).

[0729] As an embodiment, the first reference decoding is obtained based on training.

[0730] Typically, the first reference decoding is obtained based on training.

[0731] As an embodiment, the training or generation or maintenance or updating or adjustment of the first reference decoding is performed by the sender of the first information block.

[0732] As an embodiment, the training or generation or maintenance or updating or adjustment of the first reference decoding is performed by the sender of the first information block and only requires the participation of the sender of the first information block.

[0733] As an embodiment, the training or generation or maintenance or updating or adjustment of the first reference decoding is performed by the sender of the first information block, and furthermore, the participation of the first node is required.

[0734] As an embodiment, the training or generation or maintenance or updating or adjustment of the first reference decoding is performed at the first node.

[0735] As an embodiment, the training, generation, maintenance, update or adjustment of the first reference decoding is performed at the first node and only requires the participation of the first node.

[0736] As an embodiment, the training or generation or maintenance or updating or adjustment of the first reference decoding is performed at the first node, and participation of the sender of the first information block is also required.

[0737] As an embodiment, the training or generation or maintenance or updating or adjustment of the first reference decoding is performed at the first node and the sender of the first information block.

[0738] As an embodiment, the training or generation or maintenance or updating or adjustment of the first reference decoding is performed by at least one of the first node and the sender of the first information block.

[0739] As an embodiment, the training or generation or maintenance or update or adjustment of the first reference decoding requires joint participation of the first node and the sender of the first information block.

[0740] As an embodiment, the training or generation or maintenance or updating or adjustment of the first reference decoding requires information interaction between the first node and the sender of the first information block.

[0741] As an embodiment, the first decoding and the first reference decoding are related.

[0742] As an embodiment, the first decoding and the first reference decoding are related to each other.

[0743] As an embodiment, the first decoding and the first reference decoding are dependent on each other.

[0744] As an embodiment, the first decoding depends on the first reference decoding.

[0745] As an embodiment, the first reference decoding depends on the first decoding.

[0746] As an embodiment, the first decoding and the first reference decoding are partially associated.

[0747] As an embodiment, the first decoding and the first reference decoding are unrelated.

[0748] As an embodiment, the first decoding and the first reference decoding are independent of each other.

[0749] As an embodiment, the first decoding and the first reference decoding are partially unrelated.

[0750] As an embodiment, the first decoding and the first reference decoding are based on a codebook.

[0751] As an embodiment, the first decoding is based on a codebook; and the first reference decoding is based on training.

[0752] As an embodiment, the first decoding is based on training; and the first reference decoding is based on a codebook.

[0753] As an embodiment, the first decoding and the first reference decoding are obtained based on training.

[0754] As a sub-embodiment of the above embodiment, the first decoding and the first reference decoding have the same structure.

[0755] As a sub-embodiment of the above embodiment, the first decoding and the first reference decoding have different structures.

[0756] As a sub-embodiment of the above embodiment, the first decoding and the first reference decoding use the same AI / ML model.

[0757] As a sub-embodiment of the above embodiment, the first decoding and the first reference decoding use different AI / ML models.

[0758] As a sub-embodiment of the above embodiment, the first decoding and the first reference decoding use the same AI / ML model and have the same structure.

[0759] As a sub-embodiment of the above embodiment, the first decoding and the first reference decoding use the same AI / ML model but have different structures.

[0760] As a sub-embodiment of the above embodiment, the first decoding and the first reference decoding are obtained by training simultaneously.

[0761] As a sub-embodiment of the above embodiment, the first decoding and the first reference decoding are obtained by joint training.

[0762] As a sub-embodiment of the above embodiment, the training of the first decoding and the first reference decoding are dependent on each other.

[0763] As a sub-embodiment of the above embodiment, the training of the first decoding depends on the training of the first reference decoding.

[0764] As a sub-embodiment of the above embodiment, the training of the first reference decoding depends on the training of the first decoding.

[0765] As a sub-embodiment of the above embodiment, the first decoding and the first reference decoding are obtained by training respectively.

[0766] As a sub-embodiment of the above embodiment, the first decoding and the first reference decoding are obtained by independent training.

[0767] As a sub-embodiment of the above embodiment, the first decoding and the first reference decoding are obtained by training using the same data set.

[0768] As a sub-embodiment of the above embodiment, the first decoding and the first reference decoding are obtained by training using part of the same data set.

[0769] As a sub-embodiment of the above embodiment, the first decoding and the first reference decoding are obtained by training using different data sets.

[0770] As an embodiment, the Type II codebook includes the Type II codebook in 3GPP NR R (Release) 17 and versions before R17.

[0771] As an embodiment, the Type II codebook includes at least one of the Type II codebook of 3GPP NR R15, the Type II port selection codebook of 3GPP NRR15, the enhanced Type II codebook of 3GPP NR R16, the enhanced Type II port selection codebook of 3GPP NR R16 or the further enhanced Type II port selection codebook of 3GPP NR R17.

[0772] Example 7

[0773] Embodiment 7 illustrates a schematic diagram of the relationship between the first decoding, the first parameter and the target parameter according to an embodiment of the present application; Figure 7 shown.

[0774] In embodiment 7, the at least one decoding includes a first decoding, which is performed at a sender of the first information block; an output of the first decoding is used to generate a first parameter, and the first parameter is used to generate the target parameter.

[0775] As an embodiment, the first parameter is generated at the first node.

[0776] As an embodiment, the first parameter is generated at the first information block sending node.

[0777] As an embodiment, the first parameter characterizes the performance of system data transmission.

[0778] As an embodiment, the first parameter depends on the performance of system data transmission.

[0779] As an embodiment, the first parameter is a system performance indicator.

[0780] As an embodiment, the first parameter includes at least one system performance indicator.

[0781] As an embodiment, the system performance indicators described in the present application include: system-level performance indicators, network-level performance indicators, link-level performance indicators, user-level performance indicators, and the like.

[0782] As an embodiment, the system performance indicators described in the present application include: signal-to-noise ratio, link data rate, peak rate, throughput, traffic density, average user data rate, minimum user data rate, bit error rate, block error rate, bit error rate, spectrum efficiency, energy efficiency, data transmission delay, air interface delay, number of link connections, number of device connections, maximum mobility support, etc.

[0783] As an embodiment, the benefits of the above method include: improving the overall system performance obtained by CSI feedback.

[0784] As an embodiment, the benefits of the above method include: simplifying system design, and enhancing system robustness and backward compatibility.

[0785] As an embodiment, the first parameter characterizes the performance of CSI recovery of the node sending the first information block.

[0786] As an embodiment, the first parameter characterizes the performance of AI / ML-based CSI recovery of the first information block sending node.

[0787] As an embodiment, the first parameter characterizes the performance of codebook-based CSI recovery of the first information block sending node.

[0788] As an embodiment, the first parameter depends on the performance of CSI recovery of the node sending the first information block.

[0789] As an embodiment, the first parameter depends on the performance of AI / ML-based CSI recovery of the first information block sending node.

[0790] As an embodiment, the first parameter depends on the performance of codebook-based CSI recovery of the node sending the first information block.

[0791] As an embodiment, the first parameter is a performance indicator related to CSI recovery of the node sending the first information block.

[0792] As an embodiment, the first parameter is a performance indicator related to AI / ML-based CSI recovery of the first information block sending node.

[0793] As an embodiment, the first parameter is a performance indicator related to codebook-based CSI recovery of the first information block sending node.

[0794] As an embodiment, the first parameter includes at least one performance indicator related to CSI recovery of the first information block sending node.

[0795] As an embodiment, the first parameter includes at least one performance indicator related to AI / ML-based CSI recovery of the first information block sending node.

[0796] As an embodiment, the first parameter includes at least one performance indicator related to codebook-based CSI recovery of the first information block sending node.

[0797] As an embodiment, the first parameter is an indicator characterizing the CSI recovery performance of the node sending the first information block.

[0798] As an embodiment, the first parameter is an indicator characterizing the AI / ML-based CSI recovery performance of the node sending the first information block.

[0799] As an embodiment, the first parameter is an indicator characterizing the codebook-based CSI recovery performance of the node sending the first information block.

[0800] As an embodiment, the first parameter includes at least one indicator characterizing the CSI recovery performance of the node sending the first information block.

[0801] As an embodiment, the first parameter includes at least one indicator characterizing the AI / ML-based CSI recovery performance of the node sending the first information block.

[0802] As an embodiment, the first parameter includes at least one indicator characterizing the codebook-based CSI recovery performance of the node sending the first information block.

[0803] As an embodiment, the benefits of the above method include: improving the accuracy of CSI feedback and indirectly improving the overall performance of the system.

[0804] As an embodiment, the benefits of the above method include: simplifying system design and implementation difficulty, and enhancing system flexibility.

[0805] As an embodiment, the output of the first decoding includes the first parameter.

[0806] As an embodiment, the output of the first decoding is the first parameter.

[0807] As an embodiment, "the output of the first decoding is used to generate a first parameter" includes: the output of the first decoding is used to generate a recovered channel parameter of the first information block sending node, and the recovered channel parameter is used to generate the first parameter.

[0808] As an embodiment, "the output of the first decoding is used to generate a first parameter" includes: the output of the first decoding is used to generate a precoding parameter of the first information block sending node, and the precoding parameter is used to generate the first parameter.

[0809] As an embodiment, "the output of the first decoding is used to generate a first parameter" includes: the output of the first decoding is used to generate a precoding parameter of the first information block sending node, and the system performance obtained by the precoding parameter is the first parameter.

[0810] As an embodiment, "the output of the first decoding is used to generate a first parameter" includes: the output of the first decoding is used to generate the recovered channel parameters of the first information block sending node, and the system performance obtained by the precoding parameters associated with the recovered channel parameters is the first parameter.

[0811] As a sub-embodiment of the above embodiment, the system performance includes but is not limited to: signal-to-noise ratio, link data rate, peak rate, throughput, traffic density, average user data rate, minimum user data rate, bit error rate, block error rate, bit error rate, spectrum efficiency, energy efficiency, data transmission delay, air interface delay, number of link connections, number of device connections, and maximum mobility support.

[0812] As an embodiment, "the output of the first decoding is used to generate a first parameter" includes: the second channel information is used to generate the input of the first decoding, and the obtained output of the first decoding is used to generate the first parameter.

[0813] As an embodiment, "the output of the first decoding is used to generate a first parameter" includes: the second channel information is used to generate the input of the first decoding, the obtained output of the first decoding is used to generate the recovered channel parameters of the first information block sending node, and the recovered channel parameters are used to generate the first parameters.

[0814] As an embodiment, "the output of the first decoding is used to generate a first parameter" includes: the second channel information is used to generate the input of the first decoding, the output of the first decoding obtained is used to generate the precoding parameters of the first information block sending node, and the precoding parameters are used to generate the first parameters.

[0815] As an embodiment, "the output of the first decoding is used to generate a first parameter" includes: the second channel information is used to generate the input of the first decoding, the output of the first decoding obtained is used to generate the precoding parameters of the first information block sending node, and the system performance obtained by the precoding parameters is the first parameter.

[0816] As an embodiment, "the output of the first decoding is used to generate a first parameter" includes: the second channel information is used to generate the input of the first decoding, the obtained output of the first decoding is used to generate the recovered channel parameters of the first information block sending node, and the system performance obtained by the precoding parameters associated with the recovered channel parameters is the first parameter.

[0817] As an embodiment, "the output of the first decoding is used to generate a first parameter" includes: N1 channel information are respectively used to generate the input of the first decoding, and the outputs of the first decoding are respectively used to generate the first parameter, and N1 is a positive integer greater than 1.

[0818] As a sub-embodiment of the above embodiment, "N1 pieces of channel information are respectively used to generate the input of the first decoding" includes: N1 pieces of channel information are respectively the input of the first decoding.

[0819] As a sub-embodiment of the above embodiment, "the second channel information is used to generate the input of the first decoding" includes: the second channel information is the input of the first decoding.

[0820] As a sub-embodiment of the above embodiment, the first node sends the second channel information.

[0821] As a sub-embodiment of the above embodiment, the sender of the first information block receives the second channel information.

[0822] As a sub-embodiment of the above embodiment, the second channel information depends on the first information block.

[0823] As a sub-embodiment of the above embodiment, the second channel information is independent of the first information block.

[0824] As a sub-embodiment of the above embodiment, the second channel information is configured by the first information block.

[0825] As a sub-embodiment of the above embodiment, the second channel information is configured by other information blocks different from the first information block.

[0826] As a sub-embodiment of the above embodiment, configuration of the second channel information is the same as configuration of the first channel information.

[0827] As a sub-embodiment of the above embodiment, configuration of the second channel information is different from configuration of the first channel information.

[0828] As a sub-embodiment of the above embodiment, a type of the second channel information is the same as a type of the first channel information.

[0829] As a sub-embodiment of the above embodiment, a type of the second channel information is different from a type of the first channel information.

[0830] As a sub-embodiment of the above embodiment, the first node sends the second channel information, and the sending of the second channel information is earlier than the sending of the first channel information.

[0831] As a sub-embodiment of the above embodiment, measurement of at least one RS resource in the first RS resource set is used to generate the second channel information.

[0832] As a sub-embodiment of the above embodiment, measurement of at least one RS resource outside the first RS resource set is used to generate the second channel information.

[0833] As a sub-embodiment of the above embodiment, the second channel information and the first channel information respectively belong to two reports for the same CSI reporting configuration.

[0834] As a sub-embodiment of the above embodiment, the second channel information and the first channel information respectively belong to two reports for different CSI reporting configurations.

[0835] As a sub-embodiment of the above embodiment, the at least one decoding is obtained through training based on a first training data set, and the second channel information is independent of the first training data set.

[0836] As a sub-embodiment of the above embodiment, the at least one decoding is obtained through training based on a first training data set, and the second channel information belongs to the first training data set.

[0837] As a sub-embodiment of the above embodiment, the at least one decoding is obtained through training based on a first training data set, and the second channel information depends on at least one training data in the first training data set.

[0838] As a sub-embodiment of the above embodiment, "the second channel information depends on at least one training data in the first training data set" includes: at least one training data in the first training data set is used to generate the second channel information.

[0839] As a sub-embodiment of the above embodiment, "the second channel information depends on at least one training data in the first training data set" includes: at least one training data in the first training data set is used to generate an input for a first code, and the output of the first code obtained is used to generate the second channel information.

[0840] As a sub-embodiment of the above embodiment, "the output of the first encoding is used to generate the second channel information" includes: the output of the first encoding is the second channel information.

[0841] As an embodiment, "the output of the first decoding is used to generate a first parameter" includes: second channel information is used to generate an input of the first decoding, and training data on which the second channel information depends and the output of the first decoding obtained are used to generate a first parameter.

[0842] As an embodiment, "the output of the first decoding is used to generate a first parameter" includes: second channel information is used to generate an input for the first decoding, and the RS measurement used to generate the second channel information and the obtained output of the first decoding are used to generate the first parameter.

[0843] As an embodiment, "the output of the first decoding is used to generate the first parameter" includes: the second channel information is used to generate the input of the first decoding, and the obtained output of the first decoding is used to generate the recovered channel parameters of the node sending the first information block. The recovered channel parameters of the node sending the first information block and the channel parameters associated with the RS measurement used to generate the second channel information are used to generate the first parameter.

[0844] As an embodiment, "the output of the first decoding is used to generate the first parameter" includes: the second channel information is used to generate the input of the first decoding, and the obtained output of the first decoding is used to generate the recovered channel parameters of the first information block sending node. The relationship between the recovered channel parameters of the first information block sending node and the channel parameters associated with the RS measurement used to generate the second channel information is used to generate the first parameter.

[0845] As an embodiment, "the output of the first decoding is used to generate the first parameter" includes: the second channel information is used to generate the input of the first decoding, and the obtained output of the first decoding is used to generate the recovered channel parameters of the first information block sending node. The consistency between the recovered channel parameters of the first information block sending node and the channel parameters associated with the RS measurement used to generate the second channel information is used to generate the first parameter.

[0846] As an embodiment, "the output of the first decoding is used to generate the first parameter" includes: the second channel information is used to generate the input of the first decoding, and the obtained output of the first decoding is used to generate the recovered channel parameters of the first information block sending node. The difference between the recovered channel parameters of the first information block sending node and the channel parameters associated with the RS measurement used to generate the second channel information is used to generate the first parameter.

[0847] As an embodiment, "the output of the first decoding is used to generate a first parameter" includes: the second channel information is used to generate the input of the first decoding, and the obtained output of the first decoding is used to generate the recovered channel parameters of the first information block sending node. The difference between the recovered channel parameters of the first information block sending node and the channel parameters associated with the RS measurement used to generate the second channel information is indicated by the first parameter.

[0848] As an embodiment, "the output of the first decoding is used to generate the first parameter" includes: the second channel information is used to generate the input of the first decoding, and the output of the first decoding is used to generate the recovered channel parameters of the first information block sending node. The similarity or difference index between the recovered channel parameters of the first information block sending node and the channel parameters associated with the RS measurement used to generate the second channel information is used to generate the first parameter.

[0849] As an embodiment, "the output of the first decoding is used to generate a first parameter" includes: the second channel information is used to generate the input of the first decoding, and the output of the first decoding is used to generate the recovered channel parameters of the first information block sending node. The similarity or difference indicator between the recovered channel parameters of the first information block sending node and the channel parameters associated with the RS measurement used to generate the second channel information is the first parameter.

[0850] As an embodiment, "the output of the first decoding is used to generate the first parameter" includes: the second channel information is used to generate the input of the first decoding, and the output of the first decoding is used to generate the recovered channel parameters of the first information block sending node. The similarity or difference index between the recovered channel parameters of the first information block sending node and the channel parameters associated with the RS measurement used to generate the second channel information is used to generate the first parameter. The average value of the similarity or difference index over all RS resources and all layers is the first parameter.

[0851] As an embodiment, "the output of the first decoding is used to generate the first parameter" includes: the second channel information is used to generate the input of the first decoding, and the obtained output of the first decoding is used to generate the recovered channel parameters of the first information block sending node. The similarity or difference index between the recovered channel parameters of the first information block sending node and the channel parameters associated with the RS measurement used to generate the second channel information is used to generate the first parameter. The weighted average of the similarity or difference index over all RS resources and all layers is the first parameter.

[0852] As an example, the “similarity or difference index” described in this application includes but is not limited to: Euclidean distance, Mahalanobis distance, Pearson Correlation Coefficient, generalized cosine similarity (GCS), squared generalized cosine similarity (SGCS), generalized Jaccard Coefficient (GJC), and mean-square error (MSE).

[0853] As an embodiment, the benefits of the above method include: clarifying the generation method and dependency of the first parameter, improving CSI feedback performance, and enhancing the overall system performance.

[0854] As an embodiment, the benefits of the above method include: adapting to the use of different scenarios and enhancing the flexibility and backward compatibility of the system.

[0855] As an embodiment, when the first parameter is generated at the first information block sending node, the channel parameter associated with the RS measurement of the second channel information is sent by the first node to the first information block sending node.

[0856] As an embodiment, when the first parameter is generated at the first information block sending node, information associated with the channel parameter associated with the RS measurement of the second channel information is sent by the first node to the first information block sending node.

[0857] As an embodiment, when the first parameter is generated at the first information block sending node, information of the channel parameter associated with the RS measurement containing the second channel information is sent by the first node to the first information block sending node.

[0858] As an embodiment, when the first parameter is generated at the first node, the output of the first decoding is sent from the first information block sending node to the first node.

[0859] As an embodiment, when the first parameter is generated at the first node, information associated with the output of the first decoding is sent from the first information block sending node to the first node.

[0860] As an embodiment, when the first parameter is generated at the first node, information containing the output of the first decoding is sent from the first information block sending node to the first node.

[0861] As an embodiment, when the first parameter is generated at the first node, the recovered channel parameter of the first information block sending node is sent from the first information block sending node to the first node.

[0862] As an embodiment, when the first parameter is generated at the first node, information associated with the recovered channel parameter of the first information block sending node is sent from the first information block sending node to the first node.

[0863] As an embodiment, when the first parameter is generated at the first node, information containing the recovered channel parameter of the first information block sending node is sent from the first information block sending node to the first node.

[0864] As an embodiment, “used for generation” in the present application includes: being directly used for generation.

[0865] As an embodiment, “used for generation” in the present application includes: indirectly used for generation.

[0866] As an embodiment, “used for generation” in the present application includes: used for generation after calculation.

[0867] As an embodiment, “used for generation” in the present application includes: used for generation after mathematical operation.

[0868] As an embodiment, “being used for generation” in the present application includes: being used for generation after being processed by a function.

[0869] As an embodiment, “being used for generation” in the present application includes: being used for generation after being quantized.

[0870] As an embodiment, “being used for generation” in the present application includes: being used for generation after being dequantized.

[0871] As an embodiment, “used for generation” in the present application includes: used for generation after being adjusted.

[0872] As an embodiment, “used for generation” in the present application includes: used for generation after being transformed.

[0873] As an embodiment, “used for generation” in the present application includes: used for generation after comparison.

[0874] As an embodiment, “being used for generation” in the present application includes: being used for generation after being spatially projected.

[0875] As an embodiment, “being used for generation” in the present application includes: being used for generation after at least one of calculation, mathematical operation, function processing, quantization, dequantization, adjustment, transformation, comparison, and spatial projection.

[0876] As an embodiment, the “output” described in this application includes: all outputs.

[0877] As an embodiment, the “output” mentioned in this application includes: partial output.

[0878] As an embodiment, the “input” mentioned in this application includes: all inputs.

[0879] As an embodiment, the “input” mentioned in this application includes: partial input.

[0880] As an embodiment, the target parameter depends on the first parameter.

[0881] As an embodiment, the target parameter is the first parameter.

[0882] As an embodiment, the target parameter is equal to the first parameter.

[0883] As an embodiment, the target parameter and the first parameter are in a functional relationship.

[0884] As an embodiment, the target parameter and the first parameter are in a mapping relationship.

[0885] As an embodiment, the target parameter and the first parameter are in a corresponding relationship.

[0886] As an embodiment, the target parameter and the first parameter are in a linear relationship.

[0887] As an embodiment, when the first parameter is greater than a fourth threshold, the target parameter is equal to 0; otherwise, the target parameter is equal to 1.

[0888] As an embodiment, when the first parameter is less than a fourth threshold, the target parameter is equal to 0; otherwise, the target parameter is equal to 1.

[0889] As an embodiment, the output of the first decoding is used to generate a first parameter and a third parameter, and the first parameter and the third parameter are used to generate the target parameter.

[0890] As an embodiment, the target parameter depends on the first parameter and the third parameter.

[0891] As an embodiment, the target parameter depends on the relationship between the first parameter and a third parameter.

[0892] As an embodiment, the target parameter is a function of the first parameter and a third parameter.

[0893] As an embodiment, the target parameter depends on the difference between the first parameter and a third parameter.

[0894] As an embodiment, the target parameter is equal to the difference between the first parameter and the third parameter.

[0895] As an embodiment, the target parameter is equal to the absolute value of the difference between the first parameter and the third parameter.

[0896] As an embodiment, when the first parameter is greater than a fourth threshold and the third parameter is less than a fourth threshold, the target parameter is equal to 0; otherwise, the target parameter is equal to 1.

[0897] As an embodiment, when the first parameter is less than a fourth threshold and the third parameter is greater than a fourth threshold, the target parameter is equal to 0; otherwise, the target parameter is equal to 1.

[0898] As an embodiment, when the first parameter is greater than a fourth threshold and the third parameter is less than a fifth threshold, the target parameter is equal to 0; otherwise, the target parameter is equal to 1; and the fourth threshold is different from the fifth threshold.

[0899] As an embodiment, when the first parameter is less than a fourth threshold and the third parameter is greater than a fifth threshold, the target parameter is equal to 0; otherwise, the target parameter is equal to 1; and the fourth threshold is different from the fifth threshold.

[0900] As a sub-embodiment of the above embodiment, the third parameter is different from the first parameter.

[0901] As a sub-embodiment of the above embodiment, the definition of the third parameter is the same as that of the first parameter.

[0902] As a sub-embodiment of the above embodiment, the definition of the third parameter is different from that of the first parameter.

[0903] As a sub-embodiment of the above embodiment, the type of the third parameter is the same as that of the first parameter.

[0904] As a sub-embodiment of the above embodiment, the type of the third parameter is different from that of the first parameter.

[0905] As a sub-embodiment of the above embodiment, the meaning of the third parameter is the same as that of the first parameter.

[0906] As a sub-embodiment of the above embodiment, the meaning of the third parameter is different from that of the first parameter.

[0907] As a sub-embodiment of the above embodiment, the third parameter is generated in the same manner as the first parameter.

[0908] As a sub-embodiment of the above embodiment, the third parameter is generated in a different manner from the first parameter.

[0909] As a sub-embodiment of the above embodiment, the generation position of the third parameter is the same as that of the first parameter.

[0910] As a sub-embodiment of the above embodiment, the generation position of the third parameter is different from that of the first parameter.

[0911] As an embodiment, the benefits of the above method include: improving system flexibility.

[0912] As an embodiment, the benefits of the above method include: clarifying the dependency mode of target parameters, simplifying system design, and reducing implementation complexity.

[0913] Example 8

[0914] Embodiment 8 illustrates a schematic diagram of the relationship between the first reference decoding, the second parameter and the target parameter according to an embodiment of the present application; Figure 8 shown.

[0915] In Embodiment 8, the at least one decoding includes a first reference decoding, the first reference decoding is performed at the first node, an output of the first reference decoding is used to generate a second parameter; the second parameter is used to generate the target parameter.

[0916] As an embodiment, the second parameter is different from the first parameter.

[0917] As an embodiment, the definition of the second parameter is the same as that of the first parameter.

[0918] As an embodiment, the definition of the second parameter is different from that of the first parameter.

[0919] As an embodiment, the type of the second parameter is the same as that of the first parameter.

[0920] As an embodiment, the type of the second parameter is different from that of the first parameter.

[0921] As an embodiment, the meaning of the second parameter is the same as that of the first parameter.

[0922] As an embodiment, the meaning of the second parameter is different from that of the first parameter.

[0923] As an embodiment, the second parameter is generated in the same manner as the first parameter.

[0924] As an embodiment, the second parameter is generated in a different manner from the first parameter.

[0925] As an embodiment, the generation position of the second parameter is the same as that of the first parameter.

[0926] As an embodiment, the generation position of the second parameter is different from that of the first parameter.

[0927] As an embodiment, the second parameter represents the judgment of the first node on the performance of system data transmission.

[0928] As an embodiment, the second parameter depends on the judgment of the first node on the performance of system data transmission.

[0929] As an embodiment, the second parameter is an indicator of the first node regarding system performance judgment.

[0930] As an embodiment, the second parameter includes at least one indicator of the first node regarding system performance judgment.

[0931] As an embodiment, the benefits of the above method include: improving the overall system performance obtained by CSI feedback.

[0932] As an embodiment, the benefits of the above method include: simplifying system design, and enhancing system robustness and backward compatibility.

[0933] As an embodiment, the second parameter represents the judgment of the first node on the performance of CSI recovery of the node sending the first information block.

[0934] As an embodiment, the second parameter characterizes the judgment of the first node regarding the performance of AI / ML-based CSI recovery of the first information block sending node.

[0935] As an embodiment, the second parameter represents the judgment of the first node on the performance of codebook-based CSI recovery of the first information block sending node.

[0936] As an embodiment, the second parameter depends on the judgment of the first node on the performance of CSI recovery of the node sending the first information block.

[0937] As an embodiment, the second parameter depends on the judgment of the first node regarding the performance of AI / ML-based CSI recovery of the first information block sending node.

[0938] As an embodiment, the second parameter depends on the judgment of the first node on the performance of codebook-based CSI recovery of the first information block sending node.

[0939] As an embodiment, the second parameter is a judgment of the first node on a performance indicator related to CSI recovery of the first information block sending node.

[0940] As an embodiment, the second parameter is an indicator of the performance judgment of the first node related to AI / ML-based CSI recovery of the first information block sending node.

[0941] As an embodiment, the second parameter is an indicator of the first node's performance judgment related to codebook-based CSI recovery of the first information block sending node.

[0942] As an embodiment, the second parameter includes at least one indicator of the first node's performance judgment related to CSI recovery of the first information block sending node.

[0943] As an embodiment, the second parameter includes at least one indicator of the first node's performance judgment related to AI / ML-based CSI recovery of the first information block sending node.

[0944] As an embodiment, the second parameter includes at least one indicator of the first node's performance judgment related to codebook-based CSI recovery of the first information block sending node.

[0945] As an embodiment, the second parameter is an indicator characterizing the CSI recovery performance judgment of the first node regarding the node sending the first information block.

[0946] As an embodiment, the second parameter is an indicator characterizing the AI / ML-based CSI recovery performance judgment of the first node regarding the first information block sending node.

[0947] As an embodiment, the second parameter is an indicator characterizing the codebook-based CSI recovery performance judgment of the first node with respect to the first information block sending node.

[0948] As an embodiment, the second parameter includes at least one indicator characterizing the CSI recovery performance judgment of the first node with respect to the node sending the first information block.

[0949] As an embodiment, the second parameter includes at least one indicator characterizing the AI / ML-based CSI recovery performance judgment of the first node regarding the first information block sending node.

[0950] As an embodiment, the second parameter includes at least one indicator characterizing the codebook-based CSI recovery performance judgment of the first node with respect to the first information block sending node.

[0951] As an embodiment, the benefits of the above method include: improving the accuracy of CSI feedback and indirectly improving the overall performance of the system.

[0952] As an embodiment, the benefits of the above method include: simplifying system design and implementation difficulty, and enhancing system flexibility.

[0953] As an embodiment, the output of the first reference decoding includes the second parameter.

[0954] As an embodiment, the output of the first reference decoding is the second parameter.

[0955] As an embodiment, "the output of the first reference decoding is used to generate a second parameter" includes: the output of the first reference decoding is used to generate a channel parameter recovered by the first node, and the recovered channel parameter is used to generate a second parameter.

[0956] As an embodiment, "the output of the first reference decoding is used to generate a second parameter" includes: the output of the first reference decoding is used to generate the channel parameters recovered by the first node, and the judgment of the system performance obtained based on the recovered channel parameters is used to generate the second parameter.

[0957] As an embodiment, "the output of the first reference decoding is used to generate a second parameter" includes: the output of the first reference decoding is used to generate the channel parameters recovered by the first node, and the judgment on generating a precoding matrix for the first information block sending node based on the recovered channel parameters is used to generate the second parameter.

[0958] As an embodiment, "the output of the first reference decoding is used to generate a second parameter" includes: second channel information is used to generate an input of the first reference decoding, and the obtained output of the first reference decoding is used to generate a second parameter.

[0959] As an embodiment, "the output of the first reference decoding is used to generate a second parameter" includes: second channel information is used to generate an input of the first reference decoding, the output of the first reference decoding obtained is used to generate channel parameters recovered by the first node, and the recovered channel parameters are used to generate second parameters.

[0960] As an embodiment, "the output of the first reference decoding is used to generate a second parameter" includes: second channel information is used to generate an input of the first reference decoding, the output of the first reference decoding obtained is used to generate channel parameters recovered by the first node, and a judgment on system performance based on the recovered channel parameters is used to generate second parameters.

[0961] As an embodiment, "the output of the first reference decoding is used to generate a second parameter" includes: N1 channel information is respectively used to generate the input of the first reference decoding, and the output of the first reference decoding obtained respectively is used to generate a second parameter, and N1 is a positive integer greater than 1.

[0962] As an embodiment, "the output of the first reference decoding is used to generate a second parameter" includes: second channel information is used to generate the input of the first reference decoding, and the training data on which the second channel information depends and the output of the first reference decoding obtained are used to generate the second parameter.

[0963] As an embodiment, "the output of the first reference decoding is used to generate a second parameter" includes: second channel information is used to generate the input of the first reference decoding, and the RS measurement used to generate the second channel information and the obtained output of the first reference decoding are used to generate the second parameter.

[0964] As an embodiment, "the output of the first reference decoding is used to generate the second parameter" includes: the second channel information is used to generate the input of the first reference decoding, and the obtained output of the first reference decoding is used to generate the recovered channel parameters of the first node. The recovered channel parameters of the first node and the channel parameters associated with the RS measurement used to generate the second channel information are used to generate the second parameters.

[0965] As an embodiment, "the output of the first reference decoding is used to generate a second parameter" includes: second channel information is used to generate an input of the first reference decoding, and the obtained output of the first reference decoding is used to generate the recovered channel parameters of the first node. The relationship between the recovered channel parameters of the first node and the channel parameters associated with the RS measurement used to generate the second channel information is used to generate the second parameter.

[0966] As an embodiment, "the output of the first reference decoding is used to generate the second parameter" includes: the second channel information is used to generate the input of the first reference decoding, and the obtained output of the first reference decoding is used to generate the recovered channel parameters of the first node. The consistency between the recovered channel parameters of the first node and the channel parameters associated with the RS measurement used to generate the second channel information is used to generate the second parameter.

[0967] As an embodiment, "the output of the first reference decoding is used to generate a second parameter" includes: second channel information is used to generate an input of the first reference decoding, and the obtained output of the first reference decoding is used to generate a recovered channel parameter of the first node. The difference between the recovered channel parameter of the first node and the channel parameter associated with the RS measurement used to generate the second channel information is used to generate the second parameter.

[0968] As an embodiment, "the output of the first reference decoding is used to generate a second parameter" includes: second channel information is used to generate an input of the first reference decoding, and the obtained output of the first reference decoding is used to generate the recovered channel parameters of the first node. The difference between the recovered channel parameters of the first node and the channel parameters associated with the RS measurement used to generate the second channel information is indicated by the second parameter.

[0969] As an embodiment, "the output of the first reference decoding is used to generate a second parameter" includes: the second channel information is used to generate the input of the first reference decoding, and the obtained output of the first reference decoding is used to generate the recovered channel parameters of the first node. The similarity or difference indicator between the recovered channel parameters of the first node and the channel parameters associated with the RS measurement used to generate the second channel information is used to generate the second parameter.

[0970] As an embodiment, "the output of the first reference decoding is used to generate a second parameter" includes: second channel information is used to generate an input of the first reference decoding, and the obtained output of the first reference decoding is used to generate a recovered channel parameter of the first node. A similarity or difference indicator between the recovered channel parameter of the first node and the channel parameter associated with the RS measurement used to generate the second channel information is the second parameter.

[0971] As an embodiment, "the output of the first reference decoding is used to generate a second parameter" includes: the second channel information is used to generate the input of the first reference decoding, and the obtained output of the first reference decoding is used to generate the recovered channel parameters of the first node. The similarity or difference index between the recovered channel parameters of the first node and the channel parameters associated with the RS measurement used to generate the second channel information is the second parameter. The average value of the similarity or difference index over all RS resources and all layers is the second parameter.

[0972] As an embodiment, "the output of the first reference decoding is used to generate a second parameter" includes: the second channel information is used to generate the input of the first reference decoding, and the obtained output of the first reference decoding is used to generate the recovered channel parameters of the first node. The similarity or difference index between the recovered channel parameters of the first node and the channel parameters associated with the RS measurement used to generate the second channel information is the second parameter. The weighted average of the similarity or difference index over all RS resources and all layers is the second parameter.

[0973] As an embodiment, the benefits of the above method include: clarifying the generation method and dependency of the second parameter, improving CSI feedback performance, and enhancing the overall system performance.

[0974] As an embodiment, the benefits of the above method include: adapting to the use of different scenarios and enhancing the flexibility and backward compatibility of the system.

[0975] As an embodiment, the target parameter depends on the second parameter.

[0976] As an embodiment, the target parameter is the second parameter.

[0977] As an embodiment, the target parameter is equal to the second parameter.

[0978] As an embodiment, the target parameter and the second parameter are functionally related.

[0979] As an embodiment, the target parameter and the second parameter are in a mapping relationship.

[0980] As an embodiment, the target parameter and the second parameter are in a corresponding relationship.

[0981] As an embodiment, the target parameter and the second parameter are in a linear relationship.

[0982] As an embodiment, when the second parameter is greater than a fourth threshold, the target parameter is equal to 0; otherwise, the target parameter is equal to 1.

[0983] As an embodiment, when the second parameter is less than a fourth threshold, the target parameter is equal to 0; otherwise, the target parameter is equal to 1.

[0984] As an embodiment, the target parameter depends on the first parameter and the second parameter.

[0985] As an embodiment, the target parameter depends on the relationship between the first parameter and the second parameter.

[0986] As an embodiment, the target parameter is a function of the first parameter and the second parameter.

[0987] As an embodiment, the target parameter depends on the difference between the first parameter and the second parameter.

[0988] As an embodiment, the target parameter is equal to the difference between the first parameter and the second parameter.

[0989] As an embodiment, the target parameter is equal to the absolute value of the difference between the first parameter and the second parameter.

[0990] As an embodiment, when the first parameter is greater than a fourth threshold and the second parameter is less than a fourth threshold, the target parameter is equal to 0; otherwise, the target parameter is equal to 1.

[0991] As an embodiment, when the first parameter is less than a fourth threshold and the second parameter is greater than a fourth threshold, the target parameter is equal to 0; otherwise, the target parameter is equal to 1.

[0992] As an embodiment, when the first parameter is greater than a fourth threshold and the second parameter is less than a fifth threshold, the target parameter is equal to 0; otherwise, the target parameter is equal to 1; and the fourth threshold is different from the fifth threshold.

[0993] As an embodiment, when the first parameter is less than a fourth threshold and the second parameter is greater than a fifth threshold, the target parameter is equal to 0; otherwise, the target parameter is equal to 1; and the fourth threshold is different from the fifth threshold.

[0994] As an embodiment, it includes:

[0995] The first receiver receives a second information block;

[0996] The at least one decoding includes a first reference decoding, which is performed at the first node, an output of the first reference decoding is used to generate a second parameter, and the second information block and the second parameter are used to generate the target parameter.

[0997] As a sub-embodiment of the above embodiment, the second information block includes the first parameter.

[0998] As a sub-embodiment of the above embodiment, the second information block carries information of the first parameter.

[0999] As a sub-embodiment of the above embodiment, the second information block includes the output of the first decoding.

[1000] As a sub-embodiment of the above embodiment, the second information block carries information of the output of the first decoding.

[1001] As a sub-embodiment of the above embodiment, the second information block includes channel parameters restored based on the output of the first decoding.

[1002] As a sub-embodiment of the above embodiment, the second information block carries information of channel parameters restored based on the output of the first decoding.

[1003] As an embodiment, the benefits of the above method include: improving the flexibility of the system.

[1004] As an embodiment, the benefits of the above method include: clarifying the dependency mode of target parameters, simplifying system design, and reducing implementation complexity.

[1005] Example 9

[1006] Embodiment 9 illustrates a schematic diagram of the relationship between the first channel information, the target parameter and the at least one threshold according to an embodiment of the present application; Fig. 9shown.

[1007] In Embodiment 9, the number of bits included in the first channel information depends on the size relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a value greater than a threshold.

[1008] As an embodiment, the benefits of the above method include: improving the effectiveness of channel information feedback and enhancing system performance.

[1009] As an embodiment, the benefits of the above method include: improving the flexibility and robustness of the system.

[1010] As an embodiment, "the number of bits included in the first channel information depends on the size relationship between the target parameter and at least one threshold value" includes: the at least one threshold value is a first threshold value; when the target parameter is greater than the first threshold value, the number of bits included in the first channel information is a first integer; when the target parameter is less than the first threshold value, the number of bits included in the first channel information is a second integer; the first integer and the second integer are different.

[1011] As an embodiment, "the number of bits included in the first channel information depends on the size relationship between the target parameter and at least one threshold value" includes: the at least one threshold value includes a first threshold value; when the target parameter is greater than the first threshold value, the number of bits included in the first channel information is a first integer; when the target parameter is less than the first threshold value, the number of bits included in the first channel information is a second integer; the first integer and the second integer are different.

[1012] As an embodiment, "the number of bits included in the first channel information depends on the size relationship between the target parameter and at least one threshold value" includes: the at least one threshold value is a first threshold value; when the target parameter is equal to the first threshold value, the number of bits included in the first channel information is a first integer; when the target parameter is not equal to the first threshold value, the number of bits included in the first channel information is a second integer; the first integer and the second integer are different.

[1013] As an embodiment, "the number of bits included in the first channel information depends on the size relationship between the target parameter and at least one threshold value" includes: the at least one threshold value is a first threshold value; when the target parameter is not equal to the first threshold value, the number of bits included in the first channel information is a first integer; when the target parameter is equal to the first threshold value, the number of bits included in the first channel information is a second integer; the first integer and the second integer are different.

[1014] As a sub-embodiment of the above embodiment, when the target parameter is equal to the first threshold, the number of bits included in the first channel information is a first integer.

[1015] As a sub-embodiment of the above embodiment, when the target parameter is equal to the first threshold, the number of bits included in the first channel information is a second integer.

[1016] As a sub-embodiment of the above embodiment, the first integer is smaller than the second integer.

[1017] As a sub-embodiment of the above embodiment, the first integer is greater than the second integer.

[1018] As a sub-embodiment of the above embodiment, the first threshold is equal to 0.

[1019] As a sub-embodiment of the above embodiment, the first threshold is equal to 1.

[1020] As an embodiment, "the number of bits included in the first channel information depends on the size relationship between the target parameter and at least one threshold value" includes: the at least one threshold value is a first threshold value; when the target parameter is greater than the first threshold value, the change in the number of bits included in the first channel information is a first integer; when the target parameter is less than the first threshold value, the change in the number of bits included in the first channel information is a second integer; the first integer and the second integer are different.

[1021] As an embodiment, "the number of bits included in the first channel information depends on the size relationship between the target parameter and at least one threshold value" includes: the at least one threshold value includes a first threshold value; when the target parameter is greater than the first threshold value, the change in the number of bits included in the first channel information is a first integer; when the target parameter is less than the first threshold value, the change in the number of bits included in the first channel information is a second integer; the first integer and the second integer are different.

[1022] As an embodiment, "the number of bits included in the first channel information depends on the size relationship between the target parameter and at least one threshold value" includes: the at least one threshold value includes a first threshold value; when the target parameter is equal to the first threshold value, the number of bits included in the first channel information is a first integer; when the target parameter is not equal to the first threshold value, the number of bits included in the first channel information is a second integer; the first integer and the second integer are different.

[1023] As an embodiment, "the number of bits included in the first channel information depends on the size relationship between the target parameter and at least one threshold value" includes: the at least one threshold value includes a first threshold value; when the target parameter is not equal to the first threshold value, the number of bits included in the first channel information is a first integer; when the target parameter is equal to the first threshold value, the number of bits included in the first channel information is a second integer; the first integer and the second integer are different.

[1024] As a sub-embodiment of the above embodiment, when the target parameter is equal to the first threshold, the change in the number of bits included in the first channel information is a first integer.

[1025] As a sub-embodiment of the above embodiment, when the target parameter is equal to the first threshold, the change in the number of bits included in the first channel information is a second integer.

[1026] As a sub-embodiment of the above embodiment, the first threshold is equal to 0.

[1027] As a sub-embodiment of the above embodiment, the first threshold is equal to 1.

[1028] As a sub-embodiment of the above embodiment, the first integer is smaller than the second integer.

[1029] As a sub-embodiment of the above embodiment, the first integer is greater than the second integer.

[1030] As a sub-embodiment of the above embodiment, the first integer is a positive integer or a negative integer.

[1031] As a sub-embodiment of the above embodiment, the second integer is a positive integer or a negative integer.

[1032] As a sub-embodiment of the above embodiment, the first integer is equal to 0.

[1033] As a sub-embodiment of the above embodiment, the second integer is equal to 0.

[1034] As an embodiment, "the number of bits included in the first channel information depends on the size relationship between the target parameter and at least one threshold value" includes: the at least one threshold value includes a first threshold value and a second threshold value; when the target parameter is greater than the first threshold value, the number of bits included in the first channel information is a first integer; when the target parameter is less than the first threshold value and greater than the second threshold value, the number of bits included in the first channel information is a second integer; when the target parameter is less than the second threshold value, the number of bits included in the first channel information is a third integer; the first integer, the second integer and the third integer are different from each other.

[1035] As a sub-embodiment of the above embodiment, when the target parameter is equal to the first threshold, the number of bits included in the first channel information is a first integer.

[1036] As a sub-embodiment of the above embodiment, when the target parameter is equal to the first threshold, the number of bits included in the first channel information is a second integer.

[1037] As a sub-embodiment of the above embodiment, when the target parameter is equal to the second threshold, the number of bits included in the first channel information is a second integer.

[1038] As a sub-embodiment of the above embodiment, when the target parameter is equal to the second threshold, the number of bits included in the first channel information is a third integer.

[1039] As a sub-embodiment of the above embodiment, the first integer is smaller than the second integer, and the second integer is smaller than the third integer.

[1040] As a sub-embodiment of the above embodiment, the first integer is greater than the second integer, and the second integer is greater than the third integer.

[1041] As an embodiment, "the number of bits included in the first channel information depends on the size relationship between the target parameter and at least one threshold value" includes: the at least one threshold value includes a first threshold value and a second threshold value; when the target parameter is greater than the first threshold value, the change in the number of bits included in the first channel information is a first integer; when the target parameter is less than the first threshold value and greater than the second threshold value, the change in the number of bits included in the first channel information is a second integer; when the target parameter is less than the second threshold value, the change in the number of bits included in the first channel information is a third integer; the first integer, the second integer and the third integer are different from each other.

[1042] As a sub-embodiment of the above embodiment, when the target parameter is equal to the first threshold, the change in the number of bits included in the first channel information is a first integer.

[1043] As a sub-embodiment of the above embodiment, when the target parameter is equal to the first threshold, the change in the number of bits included in the first channel information is a second integer.

[1044] As a sub-embodiment of the above embodiment, when the target parameter is equal to the second threshold, the change in the number of bits included in the first channel information is a second integer.

[1045] As a sub-embodiment of the above embodiment, when the target parameter is equal to the second threshold, the change in the number of bits included in the first channel information is a third integer.

[1046] As a sub-embodiment of the above embodiment, the first integer is smaller than the second integer, and the second integer is smaller than the third integer.

[1047] As a sub-embodiment of the above embodiment, the first integer is greater than the second integer, and the second integer is greater than the third integer.

[1048] As a sub-embodiment of the above embodiment, the first integer is a positive integer or a negative integer.

[1049] As a sub-embodiment of the above embodiment, the second integer is a positive integer or a negative integer.

[1050] As a sub-embodiment of the above embodiment, the third integer is a positive integer or a negative integer.

[1051] As a sub-embodiment of the above embodiment, the first integer is equal to 0.

[1052] As a sub-embodiment of the above embodiment, the second integer is equal to 0.

[1053] As a sub-embodiment of the above embodiment, the third integer is equal to 0.

[1054] As an embodiment, the type of the first channel information depends on the magnitude relationship between the target parameter and at least one threshold.

[1055] As an embodiment, "the type of the first channel information depends on the size relationship between a target parameter and at least one threshold value" includes: the at least one threshold value includes a third threshold value; the type of the first channel information depends on the size relationship between a target parameter and the third threshold value; when the target parameter is greater than the third threshold value, the first channel information is the first type of channel information; when the target parameter is less than the third threshold value, the first channel information is the second type of channel information.

[1056] As an embodiment, "the type of the first channel information depends on the size relationship between a target parameter and at least one threshold value" includes: the at least one threshold value includes a third threshold value; the type of the first channel information depends on the size relationship between a target parameter and the third threshold value; when the target parameter is greater than the third threshold value, the first channel information is the second type channel information; when the target parameter is less than the third threshold value, the first channel information is the first type channel information.

[1057] As an embodiment, "the type of the first channel information depends on the size relationship between a target parameter and at least one threshold value" includes: the at least one threshold value includes a third threshold value; the type of the first channel information depends on the size relationship between a target parameter and the third threshold value; when the target parameter is equal to the third threshold value, the first channel information is the first type of channel information; when the target parameter is not equal to the third threshold value, the first channel information is the second type of channel information.

[1058] As an embodiment, "the type of the first channel information depends on the size relationship between a target parameter and at least one threshold value" includes: the at least one threshold value includes a third threshold value; the type of the first channel information depends on the size relationship between a target parameter and the third threshold value; when the target parameter is equal to the third threshold value, the first channel information is the second type channel information; when the target parameter is not equal to the third threshold value, the first channel information is the first type channel information.

[1059] As a sub-embodiment of the above embodiment, the first type channel information and the second type channel information are different.

[1060] As a sub-embodiment of the above embodiment, the third threshold is equal to the first threshold.

[1061] As a sub-embodiment of the above embodiment, the third threshold is equal to the second threshold.

[1062] As a sub-embodiment of the above embodiment, the third threshold is different from the first threshold or the second threshold.

[1063] As a sub-embodiment of the above embodiment, the third threshold is equal to 0.

[1064] As a sub-embodiment of the above embodiment, the third threshold is equal to 1.

[1065] As an embodiment, the benefits of the above method include: improving the reliability of channel information feedback and enhancing the overall performance of the system.

[1066] As an embodiment, the benefits of the above method include: improving the robustness and flexibility of the system.

[1067] Example 10

[1068] Embodiment 10 illustrates a schematic diagram of the first encoding according to an embodiment of the present application; Fig.10 shown.

[1069] In embodiment 10, a first code is used to generate the first channel information, and the first code is executed at the first node; measurement of at least one RS resource in the first RS resource set is used to generate an input of the first code; and the first code is obtained through training.

[1070] As an embodiment, the input of the first encoding depends on the measurement of at least one RS resource in the first RS resource set.

[1071] As an embodiment, "measurement of at least one RS resource in the first RS resource set is used to generate the first encoded input" means: measurement of part or all of the RS resources in the first RS resource set is used to generate the first encoded input.

[1072] As an embodiment, "measurement of at least one RS resource in the first RS resource set is used to generate the first encoded input" means: measurement of some RS resources in the first RS resource set is used to generate the first encoded input.

[1073] As an embodiment, “measurement of at least one RS resource in the first RS resource set is used to generate the first encoded input” means: measurement of each RS resource in the first RS resource set is used to generate the first encoded input.

[1074] As an embodiment, "measurement of at least one RS resource in the first RS resource set is used to generate the first encoded input" means: measurement of one RS resource in the first RS resource set is used to generate the first encoded input.

[1075] As an embodiment, "measurement of at least one RS resource in the first RS resource set is used to generate the first encoded input" means: the first RS resource set includes only one RS resource, and measurement of the first RS resource set is used to generate the first encoded input.

[1076] As an embodiment, information included in the measurement of at least one RS resource in the first RS resource set is used to generate the first encoded input.

[1077] As an embodiment, part of the information included in the measurement of at least one RS resource in the first RS resource set is used to generate the input of the first code.

[1078] As an embodiment, measurement of at least one RS resource in the first RS resource set is used to calculate the input of the first encoding.

[1079] As an embodiment, the measurement of at least one RS resource in the first set of RS resources includes a channel matrix, and the channel matrix is ​​used to generate an input of the first encoding.

[1080] As an embodiment, the measurement of at least one RS resource in the first RS resource set includes at least one channel matrix, and the at least one channel matrix is ​​used to generate the input of the first code.

[1081] As a sub-embodiment of the above embodiment, the input of the first encoding includes information of elements in the at least one channel matrix.

[1082] As a sub-embodiment of the above embodiment, the input of the first encoding includes an eigenvector of the at least one channel matrix.

[1083] As a sub-embodiment of the above embodiment, the input of the first encoding includes all or part of the information obtained after matrix decomposition of the at least one channel matrix.

[1084] As an embodiment, the measurement of at least one RS resource in the first RS resource set includes an original channel matrix, and the original channel matrix is ​​used to generate an input of the first encoding.

[1085] As an embodiment, the measurement of at least one RS resource in the first set of RS resources includes a feature vector, and the feature vector is used to generate an input of the first encoding.

[1086] As an embodiment, the measurement of at least one RS resource in the first set of RS resources includes an uncompressed channel matrix or eigenvector, and the uncompressed channel matrix or eigenvector is used to generate the input of the first encoding.

[1087] As an embodiment, the measurement of at least one RS resource in the first RS resource set includes all or part of the information obtained after matrix decomposition of the channel matrix, and the all or part of the information obtained after matrix decomposition of the channel matrix is ​​used to generate the input of the first code.

[1088] As an embodiment, measurement of at least one RS resource in the first RS resource set is used to generate first input channel information, where the first input channel information is an input of the first encoding.

[1089] As an embodiment, measurement of at least one RS resource in the first RS resource set is used to generate first input channel information, and the first input channel information is used to generate the first encoded input.

[1090] Generally speaking, how to generate the first encoded input is determined by the manufacturer. Some non-limiting implementation methods are described below:

[1091] As an embodiment, the first node obtains a channel matrix {H w , w=1,...,W}; the first node passes {H w}Perform operations to obtain the input of the first encoding, and the operations include but are not limited to matrix decomposition, projection and other matrix operations and mathematical operations.

[1092] As an embodiment, the first node pair {H w}, and we can get The first encoding input depends on {U w},{∑ w} or {V w} at least one of.

[1093] As an embodiment, the first node Decompose each matrix in to get The first encoding input depends on {∑ w} and / or {U w}.

[1094] As an embodiment, the first node Decompose each matrix in to get Then for [u1…u W ] performs matrix operations to obtain W1, W2 and W3; the input of the first encoding depends on at least W2 among W1, W2 and W3; wherein u w , w=1,...,W is U w A column.

[1095] As a sub-embodiment of the above embodiment,

[1096] As a sub-embodiment of the above embodiment, any two columns of W1 are orthogonal to each other, and any two columns of W3 are orthogonal to each other.

[1097] As an embodiment, the first node W4[u1…u W ] or [u1…u W]W5 is decomposed, and the input of the first code depends on the result after the decomposition; Said The W4 and W5 depend on the {H w}.

[1098] As an embodiment, the first channel information depends on the output of the first encoding.

[1099] As an embodiment, the output of the first encoding is used to generate the first channel information.

[1100] As an embodiment, the information contained in the output of the first encoding is used to generate the first channel information.

[1101] As an embodiment, part of the information contained in the output of the first encoding is used to generate the first channel information.

[1102] As an embodiment, the output of the first encoding includes the first channel information.

[1103] As an embodiment, the output of the first encoding is the first channel information.

[1104] As an embodiment, the output of the first encoding is quantized and used to generate the first channel information.

[1105] As an embodiment, the output of the first coding is used to generate the first channel information after being quantized, subjected to CRC (Cyclic redundancy check) attachment, channel coding, and rate matching, in part or in whole.

[1106] As an embodiment, the output of the first encoding includes compressed first channel information.

[1107] As an embodiment, the output of the first encoding is used to determine at least one channel matrix, and the at least one channel matrix is ​​used to generate the first channel information.

[1108] As an embodiment, the output of the first encoding does not belong to the CSI defined in 3GPP Rel-17, nor does it belong to the CSI defined in versions before 3GPP Rel-17.

[1109] As an embodiment, measurement of at least one RS resource in the first RS resource set is used to generate first input channel information, and the output after the first input channel information is input into the first encoding is used to generate the first channel information.

[1110] As an embodiment, measurement of at least one RS resource in the first RS resource set is used to generate first input channel information, and the output after the first input channel information is input into the first encoding includes the first channel information.

[1111] As an embodiment, measurement of at least one RS resource in the first RS resource set is used to generate first input channel information, and the output after the first input channel information is input into the first encoding is the first channel information.

[1112] As an embodiment, the first receiver performs the first encoding.

[1113] As an embodiment, the first transmitter performs the first encoding.

[1114] As an embodiment, at least one of the first receiver or the first transmitter performs the first encoding.

[1115] As an embodiment, the first encoding is obtained by training based on a training data set.

[1116] As an embodiment, the first code is obtained through training at the first node.

[1117] The benefits of the above method include: avoiding the overhead required to transmit the first encoding.

[1118] As an embodiment, the first code is obtained through training at the first node, but requires the participation of the sender of the first information block.

[1119] As an embodiment, the first code is obtained through training at the first node, and information interaction is performed with the sender of the first information block.

[1120] As an embodiment, the first code is obtained by the sender of the first information block through training.

[1121] As an embodiment, the first code is obtained by training at the sender of the first information block, but requires participation of the first node.

[1122] As an embodiment, the first code is obtained by the sender of the first information block through training, and information interaction is performed with the first node.

[1123] As an embodiment, the first code is obtained through training between the first node and the sender of the first information block.

[1124] The benefits of the above method include: supporting joint training and improving the performance of the first encoding.

[1125] As an embodiment, the first encoding and the first decoding are obtained by joint training.

[1126] As an embodiment, the first encoding and the first decoding are trained independently of each other.

[1127] As an embodiment, the training of the first encoding and the training of the first decoding are interdependent.

[1128] As an embodiment, the training of the first encoding and the training of the first decoding are associated.

[1129] As an embodiment, there is information interaction between the first encoding training and the first decoding training.

[1130] As an embodiment, the first encoding and the first decoding are trained based on the same training data set.

[1131] As an embodiment, the first encoding and the first decoding are trained based on different training data sets.

[1132] As an embodiment, the first node and the sender of the first information block adopt the same training model.

[1133] Benefits of the above approach include: Improved performance.

[1134] As an embodiment, the first node and the sender of the first information block adopt different training models.

[1135] As an embodiment, when the first node and the sender of the first information block adopt different training models, their understandings of the first channel information may be different.

[1136] The benefits of the above method include: increasing the freedom of hardware manufacturers.

[1137] As an embodiment, the training for obtaining the first encoding is based on a codebook.

[1138] As an embodiment, the training for obtaining the first encoding is based on a Type II codebook.

[1139] The benefits of the above method include: optimizing CSI based on artificial intelligence or machine learning, and optimizing the accuracy of CSI reporting.

[1140] As an embodiment, the channel parameters restored by the target receiver of the first channel information based on the output of the first encoding are unknown to the first node.

[1141] As an embodiment, the first encoding is non-linear.

[1142] As an embodiment, the first encoding is non-codebook.

[1143] As an embodiment, the first encoding is based on AI / ML.

[1144] As an embodiment, the first encoding is based on a neural network.

[1145] As an embodiment, the first encoding includes a neural network (Neural Network) for channel information compression.

[1146] As an embodiment, the first encoding is based on CNN (Conventional Neural Networks).

[1147] As an embodiment, the first encoding is based on a feedforward neural network.

[1148] As an embodiment, the first encoding is based on a recurrent neural network (RNN).

[1149] As an embodiment, the first encoding is based on a transformer model neural network.

[1150] As an embodiment, the first encoding is based on a generative adversarial network (GAN).

[1151] As an embodiment, the first encoding is based on an autoencoder (AE).

[1152] As an embodiment, the first encoding includes K1 sub-processing, K1 is a positive integer greater than 1; the K1 sub-processing includes one or more of encoding, linear calculation, matrix calculation, convolution, pooling, cascading or activation.

[1153] As an embodiment, there is a sub-processing among the K1 sub-processings including a fully connected layer.

[1154] As an embodiment, one of the K1 sub-processes includes a pooling layer.

[1155] As an embodiment, there is a sub-processing among the K1 sub-processings including at least one convolutional layer.

[1156] As an embodiment, there is a sub-processing among the K1 sub-processings including at least one coding layer.

[1157] As an embodiment, there are two sub-processes in the K1 sub-processes, each of which includes a fully connected layer and at least one encoding layer.

[1158] As an embodiment, a coding layer includes at least one convolutional layer and one pooling layer.

[1159] As an embodiment, in the convolution layer, at least one convolution kernel is used to convolve the input of the first encoding to generate a corresponding feature map, and at least one feature map output by the convolution layer is reshaped into a vector input to the fully connected layer; the fully connected layer converts the one vector into the output of the first encoding.

[1160] As an embodiment, part or all of the convolution kernel size, number of convolution layers, convolution step size, pooling kernel size, pooling kernel step size, pooling function, activation function or number of feature maps of the first encoding are obtained through training.

[1161] As an embodiment, part or all of the convolution kernel, pooling kernel, pooling function, activation function, parameters of the pooling function or parameters of the activation function of the first encoding are obtained through training.

[1162] The benefits of the above method include: improving the accuracy of the first channel information and optimizing the performance of CSI reporting.

[1163] Examples 11A-11B

[1164] Embodiments 11A-11B respectively illustrate schematic diagrams of the second information block according to an embodiment of the present application; Figures 11A-11B shown.

[1165] In embodiment 11A, the first receiver receives a second information block; wherein the target parameter depends on the second information block.

[1166] In embodiment 11B, the first receiver receives a second information block; wherein the second information block depends on the target parameter.

[1167] As an embodiment, the benefits of the above method include: compatibility with different usage scenarios, and improved flexibility, robustness, and backward compatibility of the system.

[1168] As an embodiment, the second information block is carried by higher layer signaling.

[1169] As an embodiment, the second information block is carried by RRC signaling.

[1170] As an embodiment, the second information block is carried by MAC CE signaling.

[1171] As an embodiment, the second information block includes part or all of the fields of an RRC IE.

[1172] As an embodiment, the second information block includes a partial field of an RRC IE.

[1173] As an embodiment, the second information block and the first information block belong to the same RRC IE.

[1174] As an embodiment, the second information block and the first information block belong to different RRC IEs.

[1175] As an embodiment, the second information block and the first information block belong to one CSI-ReportConfig.

[1176] As an embodiment, the second information block and the first information block are received simultaneously.

[1177] As an embodiment, the second information block and the first information block are not received at the same time.

[1178] As an embodiment, the second information block is received later than the first information block.

[1179] As an embodiment, the second information block is received no later than the first information block is received.

[1180] As an embodiment, "the target parameter depends on the second information block" includes: the generation of the target parameter requires the use of the second information block.

[1181] As an embodiment, "the target parameter depends on the second information block" includes: generation of the target parameter requires use of information carried by the second information block.

[1182] As an embodiment, "the target parameter depends on the second information block" includes: generation of the target parameter requires use of part of the information carried by the second information block.

[1183] As an embodiment, "the target parameter depends on the second information block" includes: the second information block includes the first parameter, and the first parameter is used to generate the target parameter.

[1184] As an embodiment, "the target parameter depends on the second information block" includes: the second information block carries information of the first parameter, and the first parameter is used to generate the target parameter.

[1185] As an embodiment, "the target parameter depends on the second information block" includes: the second information block includes the second parameter, and the second parameter is used to generate the target parameter.

[1186] As an embodiment, "the target parameter depends on the second information block" includes: the second information block carries information of the second parameter, and the second parameter is used to generate the target parameter.

[1187] As an embodiment, "the target parameter depends on the second information block" includes: the second information block includes the third parameter, and the third parameter is used to generate the target parameter.

[1188] As an embodiment, "the target parameter depends on the second information block" includes: the second information block carries information of the third parameter, and the third parameter is used to generate the target parameter.

[1189] As an embodiment, "the target parameter depends on the second information block" includes: the second information block includes the output of the first decoding, and the output of the first decoding is used to generate the target parameter.

[1190] As an embodiment, "the target parameter depends on the second information block" includes: the second information block includes the output of the first decoding, the output of the first decoding is used to generate the first parameter, and the first parameter is used to generate the target parameter.

[1191] As an embodiment, "the target parameter depends on the second information block" includes: the second information block includes the output of the first decoding, the output of the first decoding is used to generate the third parameter, and the third parameter is used to generate the target parameter.

[1192] As an embodiment, "the target parameter depends on the second information block" includes: the second information block contains the output of the first decoding, the output of the first decoding is used to generate the first parameter and the third parameter, and the first parameter and the third parameter are used to generate the target parameter.

[1193] As an embodiment, "the target parameter depends on the second information block" includes: the second information block carries information of the output of the first decoding, and the information of the output of the first decoding is used to generate the target parameter.

[1194] As an embodiment, "the target parameter depends on the second information block" includes: the second information block carries information of the output of the first decoding, the information of the output of the first decoding is used to generate the first parameter, and the first parameter is used to generate the target parameter.

[1195] As an embodiment, "the target parameter depends on the second information block" includes: the second information block carries information of the output of the first decoding, the information of the output of the first decoding is used to generate the third parameter, and the third parameter is used to generate the target parameter.

[1196] As an embodiment, "the target parameter depends on the second information block" includes: the second information block carries information of the output of the first decoding, the information of the output of the first decoding is used to generate the first parameter and the third parameter, and the first parameter and the third parameter are used to generate the target parameter.

[1197] As an embodiment, "the target parameter depends on the second information block" includes: the second information block contains channel parameters recovered based on the output of the first decoding, and the channel parameters recovered based on the output of the first decoding are used to generate the target parameter.

[1198] As an embodiment, "the target parameter depends on the second information block" includes: the second information block contains channel parameters recovered based on the output of the first decoding, the channel parameters recovered based on the output of the first decoding are used to generate the first parameters, and the first parameters are used to generate the target parameters.

[1199] As an embodiment, "the target parameter depends on the second information block" includes: the second information block contains channel parameters recovered based on the output of the first decoding, the channel parameters recovered based on the output of the first decoding are used to generate the third parameters, and the third parameters are used to generate the target parameters.

[1200] As an embodiment, "the target parameter depends on the second information block" includes: the second information block includes a channel parameter recovered based on the output of the first decoding, the channel parameter recovered based on the output of the first decoding is used to generate the first parameter and the third parameter, and the first parameter and the third parameter are used to generate the target parameter.

[1201] As an embodiment, "the target parameter depends on the second information block" includes: the second information block carries information about channel parameters recovered based on the output of the first decoding, and the information about channel parameters recovered based on the output of the first decoding is used to generate the target parameter.

[1202] As an embodiment, "the target parameter depends on the second information block" includes: the second information block carries information of channel parameters recovered based on the output of the first decoding, the information of channel parameters recovered based on the output of the first decoding is used to generate the first parameter, and the first parameter is used to generate the target parameter.

[1203] As an embodiment, "the target parameter depends on the second information block" includes: the second information block carries information of channel parameters recovered based on the output of the first decoding, the information of channel parameters recovered based on the output of the first decoding is used to generate the third parameter, and the third parameter is used to generate the target parameter.

[1204] As an embodiment, "the target parameter depends on the second information block" includes: the second information block carries information of channel parameters recovered based on the output of the first decoding, the information of channel parameters recovered based on the output of the first decoding is used to generate the first parameter and the third parameter, and the first parameter and the third parameter are used to generate the target parameter.

[1205] As an embodiment, the benefits of the above method include: improving the flexibility and robustness of the system.

[1206] As an embodiment, the benefits of the above method include: reducing the feedback of high-precision CSI and improving the overall performance of the system.

[1207] As an embodiment, the second information block includes the target parameter.

[1208] As an embodiment, the second information block carries the target parameter.

[1209] As an embodiment, the second information block carries the target parameter.

[1210] As an embodiment, the second information block carries information of the target parameter.

[1211] As an embodiment, the second information block contains information related to the target parameter.

[1212] As an embodiment, the second information block indicates the number of bits included in the first channel information, and the indication information included in the second information block depends on the size relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a value greater than a threshold.

[1213] As an embodiment, the second information block indicates the number of bits included in the first channel information, and the content indicated by the second information block depends on the size relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes greater than a threshold.

[1214] As an embodiment, the second information block indicates the change in the number of bits included in the first channel information, and the indication information included in the second information block depends on the size relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[1215] As an embodiment, the second information block indicates the change in the number of bits included in the first channel information, and the content indicated by the second information block depends on the size relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a value greater than a threshold.

[1216] As an embodiment, the second information block indicates the type of the first channel information, and the indication information included in the second information block depends on the size relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[1217] As an embodiment, the second information block indicates the type of the first channel information, and the content indicated by the second information block depends on the size relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes greater than a threshold.

[1218] As a sub-embodiment of the above embodiment, "the magnitude relationship between the target parameter and at least one threshold value" includes: all the contents in Embodiment 9.

[1219] As an embodiment, the second information block indicates whether the first node updates or retrains the first encoding; the indication information included in the second information block depends on the size relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[1220] As an embodiment, the second information block indicates whether the first node updates or retrains the first reference decoding; the indication information included in the second information block depends on the size relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[1221] As an embodiment, the second information block indicates whether the first node updates or retrains the first encoding and the first reference decoding; the indication information included in the second information block depends on the size relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[1222] As an embodiment, the second information block indicates whether the first node updates the training data set; the indication information included in the second information block depends on the size relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[1223] As an embodiment, the second information block indicates whether the first node uses a new training data set; the indication information included in the second information block depends on the size relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[1224] As an embodiment, the at least one threshold includes a third threshold; when the target parameter is greater than the third threshold, the first node updates or retrains the first encoding.

[1225] As an embodiment, the at least one threshold includes a third threshold; when the target parameter is less than the third threshold, the first node updates or retrains the first encoding.

[1226] As an embodiment, the at least one threshold includes a third threshold; when the target parameter is equal to the third threshold, the first node updates or retrains the first encoding.

[1227] As an embodiment, the at least one threshold includes a third threshold; when the target parameter is not equal to or less than the third threshold, the first node updates or retrains the first encoding.

[1228] As an embodiment, the at least one threshold includes a third threshold; when the target parameter is greater than the third threshold, the first node updates the training data set or the first node uses a new training data set.

[1229] As an embodiment, the at least one threshold includes a third threshold; when the target parameter is less than the third threshold, the first node updates the training data set or the first node uses a new training data set.

[1230] As an embodiment, the at least one threshold includes a third threshold; when the target parameter is equal to the third threshold, the first node updates the training data set or the first node uses a new training data set.

[1231] As an embodiment, the at least one threshold includes a third threshold; when the target parameter is not equal to the third threshold, the first node updates the training data set or the first node uses a new training data set.

[1232] As a sub-embodiment of the above embodiment, the third threshold is equal to the first threshold.

[1233] As a sub-embodiment of the above embodiment, the third threshold is equal to the second threshold.

[1234] As a sub-embodiment of the above embodiment, the third threshold is different from the first threshold or the second threshold.

[1235] As a sub-embodiment of the above embodiment, the third threshold is equal to 0.

[1236] As a sub-embodiment of the above embodiment, the third threshold is equal to 1.

[1237] Example 12

[1238] Embodiment 12 illustrates a schematic diagram of the transmission of the first channel information according to an embodiment of the present application; Fig.12 Attached Fig.12 In, the first reference decoding is optional and the first reference encoding is optional.

[1239] In Example 12, the first encoding and the first reference encoding are respectively performed in the first node and the second node in the present application, and the first reference decoding and the first decoding are respectively performed in the first node and the second node in the present application.

[1240] A first code is used to generate the first channel information, an input of the first code includes first input channel information, and a measurement of at least one RS resource in the first RS resource set is used to generate the first input channel information;

[1241] The first node sends the first channel information to the second node via an air interface;

[1242] The first decoding is used to generate first reconstructed channel information, the input of the first decoding includes the first channel information, or the first channel information is used to generate the input of the first decoding.

[1243] As an embodiment, the second node is the sender of the first information block in the present application.

[1244] As an embodiment, the second node is the second node in the present application.

[1245] As an embodiment, the first decoding is to perform the inverse operation of the first encoding.

[1246] As an embodiment, the first reference decoding is to perform an inverse operation of the first encoding.

[1247] As an embodiment, the first reference encoding is to perform an inverse operation of the first decoding.

[1248] As an embodiment, the first encoding is performed in a first receiver.

[1249] As an embodiment, the first encoding is performed in a first transmitter.

[1250] As an embodiment, the first encoding is performed in at least one of a first receiver or a first transmitter.

[1251] As an embodiment, the first reference decoding is performed in a first receiver.

[1252] As an embodiment, the first reference decoding is performed in a first transmitter.

[1253] As an embodiment, the first reference decoding is performed in at least one of a first receiver or a first transmitter.

[1254] As an embodiment, the first decoding is performed in the second receiver.

[1255] As an embodiment, the first reference encoding is performed in a second receiver.

[1256] As an embodiment, the first reference encoding is performed in the second transmitter.

[1257] As an embodiment, the first reference encoding is performed in at least one of a second receiver or a second transmitter.

[1258] As an embodiment, the first decoding and the first reference decoding are the same.

[1259] As an embodiment, the first decoding and the first reference decoding are different.

[1260] As an embodiment, “the first decoding and the first reference decoding are different” means that: the first decoding and the first reference decoding cannot be considered to be the same.

[1261] As an embodiment, the first reference decoding and the first decoding both perform the inverse operation of the first encoding, but the two may only be approximate.

[1262] As an embodiment, the first reference decoding is the same as the first decoding, and the first reference decoding is available at both the first node and the second node.

[1263] As an embodiment, the first reference decoding is only available to the first node.

[1264] As an embodiment, the above method allows the first node and the second node to process the first channel information using different decoding methods, thereby improving the implementation flexibility of hardware manufacturers.

[1265] As an embodiment, the first code and the first reference code are the same.

[1266] As an embodiment, the first encoding and the first reference encoding are different.

[1267] As an embodiment, “the first coding and the first reference coding are different” means that: the first coding and the first reference coding cannot be considered to be the same.

[1268] As an embodiment, the first reference encoding and the first encoding both perform the inverse operation of the first decoding, but the two may only be approximate.

[1269] As an embodiment, the first reference code is the same as the first code, and the first reference code is available at both the first node and the second node.

[1270] As an embodiment, the first reference code is only available to the second node.

[1271] As an embodiment, the above method allows the first node and the second node to use different encodings, thereby improving the implementation flexibility of hardware manufacturers.

[1272] As an embodiment, the output after the first input channel information is input into the first encoding includes the first channel information.

[1273] As an embodiment, the output after the first input channel information is input into the first encoding is used to generate the first channel information.

[1274] As an embodiment, “a first encoding is used to generate the first channel information” means that: an output of the first encoding includes the first channel information.

[1275] As an embodiment, “a first code is used to generate the first channel information” means that: the output of the first code is used to generate the first channel information.

[1276] As an embodiment, the first input channel information is only available to the first node.

[1277] As an embodiment, the sentence “the first input channel information is only available to the first node” means that, in both the first node and the second node, the first input channel information is only available to the first node.

[1278] As an embodiment, the sentence “the first input channel information is only available to the first node” means that the first input channel information is generated at the first node, and the first node does not send the first input channel information through an air interface.

[1279] As an embodiment, the sentence "the first input channel information is only available to the first node" means that the first input channel information is generated at the first node, and the first node does not send information through the air interface that can be used to completely reconstruct the first input channel information.

[1280] As an embodiment, the sentence “the first input channel information is only available to the first node” means that the first input channel information is generated at the first node, and the second node does not obtain the first input channel information.

[1281] As an embodiment, the first input channel information is available to the second node.

[1282] As an embodiment, the sentence “the first input channel information is available to the second node” means that the first input channel information is generated at the first node, and the first node sends the first input channel information through an air interface.

[1283] As an embodiment, the sentence "the first input channel information is available to the second node" means that the first input channel information is generated at the first node, and the first node sends information through the air interface that can be used to completely reconstruct the first input channel information.

[1284] As an embodiment, the sentence “the first input channel information is available to the second node” means that: the first input channel information is generated at the first node, and the second node obtains the first input channel information.

[1285] As an embodiment, the benefits of the above method include: facilitating the acquisition and evaluation of CSI feedback performance, facilitating system control and modulation of CSI feedback methods and parameters, and improving system performance.

[1286] As an embodiment, the first reconstructed channel information is only known to the second node.

[1287] As an embodiment, the first reconstructed channel information is known to the first node.

[1288] As an embodiment, the benefits of the above method include: facilitating the acquisition and evaluation of CSI feedback performance, facilitating system control and modulation of CSI feedback methods and parameters, and improving system performance.

[1289] As an embodiment, the first reconstructed channel information is the same as the first input channel information.

[1290] As an embodiment, the first reconstructed channel information is different from the first input channel information.

[1291] As an embodiment, “the first reconstructed channel information is different from the first input channel information” means that the first reconstructed channel information and the first input channel information cannot be considered to be the same.

[1292] As an embodiment, the first reconstructed channel information includes the first input channel information.

[1293] As an embodiment, the first reconstructed channel information includes an estimate of the first input channel information.

[1294] As an embodiment, the error between the first reconstructed channel information and the first input channel information may be used to monitor the overall performance of the first encoding and the first decoding. Common errors may be mean square error, cosine similarity, and the like.

[1295] As an embodiment, the error between the first reconstructed channel information and the first input channel information may be used to train at least one of the first decoding or the first encoding.

[1296] As an embodiment, measurement of each RS resource in the first RS resource set is used to generate the first input channel information.

[1297] As an embodiment, measurement of part of RS resources in the first RS resource set is used to generate the first input channel information.

[1298] As an embodiment, measurement of one RS resource in the first RS resource set is used to generate the first input channel information.

[1299] As an embodiment, the first input channel information includes a channel parameter matrix.

[1300] As an embodiment, the first input channel information includes a matrix consisting of at least one eigenvector.

[1301] As an embodiment, the first input channel information includes at least one feature vector.

[1302] As an embodiment, the first input channel information includes a channel parameter matrix obtained by measuring at least one RS resource in the first RS resource set.

[1303] As an embodiment, the first input channel information includes a matrix consisting of at least one eigenvector generated by measuring at least one RS resource in the first RS resource set.

[1304] As an embodiment, the first input channel information includes at least one feature vector generated by measurement of at least one RS resource in the first RS resource set.

[1305] As an embodiment, the first input channel information only includes one channel parameter matrix.

[1306] As an embodiment, the first input channel information includes multiple channel parameter matrices, and the multiple channel parameter matrices correspond to multiple sub-bands respectively.

[1307] As an embodiment, the first input channel information is generated by measuring the same RS resource in the first RS resource set.

[1308] As an embodiment, the first input channel information includes multiple channel parameter matrices, and the multiple channel parameter matrices are respectively generated for measurements of different RS resources in the first RS resource set.

[1309] As an embodiment, the first node further performs first reference decoding, the input of the first reference decoding includes the first channel information, and the output of the first reference decoding includes a first monitoring output.

[1310] As an embodiment, the first node further performs a first reference decoding, the first channel information is used to generate an input of the first reference decoding, and the output of the first reference decoding includes a first monitoring output.

[1311] As an embodiment, the first node further performs a first reference decoding, the first channel information is used to generate an input of the first reference decoding, and the output of the first reference decoding is used to generate a first monitoring output.

[1312] As an embodiment, the second node further performs a first reference coding, an input of the first reference coding includes the first reconstructed channel information, and an output of the first reference coding includes a second monitoring output.

[1313] As an embodiment, the second node further performs a first reference coding, the first reconstructed channel information is used to generate an input of the first reference coding, and the output of the first reference coding includes a second monitoring output.

[1314] As an embodiment, the second node further performs first reference coding, the first reconstructed channel information is used to generate an input of the first reference coding, and the output of the first reference coding is used to generate a second monitoring output.

[1315] As an embodiment, the first encoding is used for CSI generation performed at the first node, and the CSI generation performed at the first node includes generating the first channel information.

[1316] As an embodiment, the first encoding is used for CSI generation performed at the first node, and a result of the CSI generation performed at the first node is used to generate the first channel information.

[1317] As an embodiment, the CSI generation performed at the first node includes CSI compression performed at the first node, and the CSI compression performed at the first node includes generating the first channel information.

[1318] As an embodiment, the CSI generation performed at the first node includes CSI compression performed at the first node, and a result of the CSI compression performed at the first node is used to generate the first channel information.

[1319] As an embodiment, the CSI generation performed at the first node includes CSI prediction performed at the first node, and the CSI prediction performed at the first node includes generating the first channel information.

[1320] As an embodiment, the CSI generation performed at the first node includes CSI prediction performed at the first node, and a result of the CSI prediction performed at the first node is used to generate the first channel information.

[1321] As an embodiment, the CSI generation performed at the first node includes CSI prediction and compression performed at the first node, and the CSI prediction and compression performed at the first node includes generating the first channel information.

[1322] As an embodiment, the CSI generation performed at the first node includes CSI prediction and compression performed at the first node, and the result of the CSI prediction and compression performed at the first node is used to generate the first channel information.

[1323] As an embodiment, the first reference code is used for CSI generation performed at the second node, and the CSI generation performed at the second node includes generating the second monitoring output.

[1324] As an embodiment, the first reference code is used for CSI generation performed at the second node, and a result of the CSI generation performed at the second node is used to generate the second monitoring output.

[1325] As an embodiment, the CSI generation performed at the second node includes CSI compression performed at the second node, and the CSI compression performed at the second node includes generating the second monitoring output.

[1326] As an embodiment, the CSI generation performed at the second node includes CSI compression performed at the second node, and a result of the CSI compression performed at the second node is used to generate the second monitoring output.

[1327] As an embodiment, the CSI generation performed at the second node includes CSI prediction performed at the second node, and the CSI prediction performed at the second node includes generating the second monitoring output.

[1328] As an embodiment, the CSI generation performed at the second node includes CSI prediction performed at the second node, and a result of the CSI prediction performed at the second node is used to generate the second monitoring output.

[1329] As an embodiment, the CSI generation performed at the second node includes CSI prediction and compression performed at the second node, and the CSI prediction and compression performed at the second node includes generating the second monitoring output.

[1330] As an embodiment, the CSI generation performed at the second node includes CSI prediction and compression performed at the second node, and the results of the CSI prediction and compression performed at the second node are used to generate the second monitoring output.

[1331] As an embodiment, the first decoding is used for CSI reconstruction performed at the second node, and the CSI reconstruction performed at the second node includes generating the first reconstructed channel information.

[1332] As an embodiment, the first decoding is used for CSI reconstruction performed at the second node, and a result of the CSI reconstruction performed at the second node is used to generate the first reconstructed channel information.

[1333] As an embodiment, the first reference decoding is used for CSI reconstruction performed at the first node, and the CSI reconstruction performed at the first node includes generating the first monitoring output.

[1334] As an embodiment, the first reference decoding is used for CSI reconstruction performed at the first node, and a result of the CSI reconstruction performed at the first node is used to generate the first monitoring output.

[1335] As an embodiment, the first monitoring output is the same as the first input channel information.

[1336] As an embodiment, the first monitoring output and the first input channel information are different.

[1337] As an embodiment, “the first monitoring output and the first input channel information are different” means that: the first monitoring output and the first input channel information cannot be considered to be the same.

[1338] As an embodiment, the first monitoring output includes the first input channel information.

[1339] As an embodiment, the first monitoring output includes an estimate of the first input channel information.

[1340] As an embodiment, the error between the first monitoring output and the first input channel information may be used to monitor the performance of the first encoding, and common errors may be mean square error, cosine similarity, and the like.

[1341] As an embodiment, the error between the first monitoring output and the first input channel information may be used to train at least one of the first encoding or the first reference decoding.

[1342] As an embodiment, the second monitoring output is the same as the first channel information.

[1343] As an embodiment, the second monitoring output is different from the first channel information.

[1344] As an embodiment, “the second monitoring output is different from the first channel information” means that the second monitoring output and the first channel information cannot be considered to be the same.

[1345] As an embodiment, the second monitoring output includes the first channel information.

[1346] As an embodiment, the second monitoring output includes an estimate of the first channel information.

[1347] As an embodiment, the error between the second monitoring output and the first channel information may be used to monitor the performance of the first decoding, and common errors may be mean square error, cosine similarity, and the like.

[1348] As an embodiment, the error between the second monitoring output and the first channel information may be used to train at least one of the first decoding or the first encoding.

[1349] As an embodiment, the first encoding is obtained through training.

[1350] As an embodiment, the first encoding adopts an artificial intelligence-based method.

[1351] As an embodiment, the training of the first encoding is performed at the first node.

[1352] As an embodiment, the training of the first encoding is performed at the second node.

[1353] As an embodiment, the training for the first encoding is used to obtain the first encoding.

[1354] As an embodiment, the training for the first encoding is used to obtain the first encoding and the first reference encoding.

[1355] As an embodiment, the training for the first encoding is used to obtain the first encoding and the first reference decoding.

[1356] As an embodiment, the training for the first encoding is used to obtain the first encoding and the first decoding.

[1357] As an embodiment, the training for the first encoding is used to obtain the first encoding, the first reference decoding, or at least the first encoding among the first decoding or the first reference encoding.

[1358] As an embodiment, the training for the first encoding is used to obtain the first encoding, the first reference decoding, the first decoding and the first reference encoding.

[1359] As an embodiment, the first decoding is obtained through training.

[1360] As an embodiment, the first decoding adopts an artificial intelligence based method.

[1361] As an embodiment, the training of the first decoding is performed at the first node.

[1362] As an embodiment, the training of the first decoding is performed at the second node.

[1363] As an embodiment, the first reference code is obtained through training.

[1364] As an embodiment, the first reference code adopts an artificial intelligence-based method.

[1365] As an embodiment, the training of the first reference code is performed at the first node.

[1366] As an embodiment, the training of the first reference code is performed at the second node.

[1367] As an embodiment, the first reference decoding is obtained through training.

[1368] As an embodiment, the first reference decoding adopts an artificial intelligence based method.

[1369] As an embodiment, the training of the first reference decoding is performed at the first node.

[1370] As an embodiment, the training of the first reference decoding is performed at the second node.

[1371] As an embodiment, the first reference decoding is the same as the first decoding, and the first decoding is trained, generated, or maintained in only one of the first node or the second node.

[1372] As an embodiment, the first reference decoding and the first decoding are trained, generated, or maintained in only one of the first node or the second node.

[1373] As an embodiment, the first reference decoding and the first decoding are trained or generated or maintained separately or independently in the first node and the second node, respectively.

[1374] As an embodiment, the first reference code is the same as the first code, and the first code is trained, generated, or maintained in only one of the first node or the second node.

[1375] As an embodiment, the first reference code and the first code are trained, generated, or maintained in only one of the first node or the second node.

[1376] As an embodiment, the first reference code and the first code are separately or independently trained or independently generated or independently maintained in the second node and the first node, respectively.

[1377] As an embodiment, the first encoding and the first decoding are jointly trained, generated, or maintained in only one of the first node or the second node.

[1378] As an embodiment, the first encoding and the first decoding are jointly trained, generated, or maintained in the first node and the second node.

[1379] As an embodiment, the first encoding and the first decoding are trained or generated or maintained separately or independently in the first node and the second node, respectively.

[1380] As an embodiment, the specific operation of the first encoding is determined by the equipment manufacturer.

[1381] As an embodiment, the specific operation of the first encoding is determined by the first node or the second node itself.

[1382] As an embodiment, the artificial intelligence algorithm used in the first encoding is determined by the equipment manufacturer.

[1383] As an embodiment, the artificial intelligence algorithm used in the first encoding is determined by the first node or the second node itself.

[1384] As an embodiment, the specific operation of the first decoding is determined by the equipment manufacturer.

[1385] As an embodiment, the specific operation of the first decoding is determined by the first node or the second node itself.

[1386] As an embodiment, the artificial intelligence algorithm used in the first decoding is determined by the equipment manufacturer.

[1387] As an embodiment, the artificial intelligence algorithm used in the first decoding is determined by the first node or the second node itself.

[1388] As an embodiment, the specific operation of the first reference code is determined by the equipment manufacturer.

[1389] As an embodiment, the specific operation of the first reference code is determined by the first node or the second node itself.

[1390] As an embodiment, the artificial intelligence algorithm used in the first reference code is determined by the equipment manufacturer.

[1391] As an embodiment, the artificial intelligence algorithm used by the first reference code is determined by the first node or the second node itself.

[1392] As an embodiment, the specific operation of the first reference decoding is determined by the equipment manufacturer.

[1393] As an embodiment, the specific operation of the first reference decoding is determined by the first node or the second node itself.

[1394] As an embodiment, the artificial intelligence algorithm used in the first reference decoding is determined by the equipment manufacturer.

[1395] As an embodiment, the artificial intelligence algorithm used in the first reference decoding is determined by the first node or the second node itself.

[1396] As an embodiment, the training of the first encoding includes obtaining a parameter group adopted by the first encoding through training.

[1397] As an embodiment, the training of the first encoding includes obtaining at least one parameter group among J parameter groups through training, and the parameter group used by the first encoding is one parameter group among the J parameter groups, and J is a positive integer greater than 1.

[1398] As an embodiment, the training of the first encoding includes obtaining J parameter groups through training, the parameter group used by the first encoding is one parameter group among the J parameter groups, and J is a positive integer greater than 1.

[1399] As an embodiment, the training of the first decoding includes obtaining a parameter group adopted by the first decoding through training.

[1400] As an embodiment, the training of the first decoding includes obtaining at least one parameter group among P parameter groups through training, and the parameter group used in the first decoding is one parameter group among the P parameter groups, and P is a positive integer.

[1401] As an embodiment, the training of the first decoding includes obtaining P parameter groups through training, the parameter group used in the first decoding is one parameter group among the P parameter groups, and P is a positive integer.

[1402] Embodiment 13

[1403] Embodiment 13 illustrates a schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of the present application; Fig.13 Attached Fig.13 The invention comprises a first processor, a second processor, a third processor and a fourth processor. Fig.13 In the , first and second type of feedback are optional.

[1404] In Example 13, the first processor sends a first data set to the second processor, the second processor generates a target first-category parameter group based on the first data set, the second processor sends the generated target first-category parameter group to the third processor, the third processor processes the second data set using the target first-category parameter group to obtain a first-category output, and then sends the first-category output to the fourth processor.

[1405] As an embodiment, the third processing machine includes the first encoding of the present application, and the generation of the first type of output is performed by the first encoding.

[1406] As an embodiment, the target first-category parameter group is the parameter group adopted by the first encoding in this application.

[1407] As an embodiment, the third processor includes the first reference decoding in the present application, the input of the first reference decoding includes the first type of output, the output of the first reference decoding includes a reference data set, and the reference data set includes the first monitoring output in the present application.

[1408] As an embodiment, the fourth processing machine includes the first decoding of the present application, and the input of the first decoding includes the first type of output, or the first type of output is used to generate the input of the first decoding.

[1409] As an embodiment, the second type of feedback includes the output of the first decoding in the present application.

[1410] As an embodiment, the output of the first decoding in the present application is used to generate the second type of feedback.

[1411] As an embodiment, the second type of feedback includes the first reconstructed channel information in the present application.

[1412] As an embodiment, the first reconstructed channel information in the present application is used to generate the second type of feedback.

[1413] As an embodiment, the fourth processor includes the first reference code in the present application.

[1414] As an embodiment, the second type of feedback includes the second monitoring output in the present application.

[1415] As an embodiment, the second monitoring output in the present application is used to generate the second type of feedback.

[1416] As an embodiment, the first type of output includes the first channel information in the present application.

[1417] As an embodiment, the first processor belongs to the first node.

[1418] As an embodiment, the second processor belongs to the first node

[1419] As an embodiment, the third processor belongs to the first node.

[1420] As an embodiment, the fourth processor belongs to the second node.

[1421] As an embodiment, the benefits of the above embodiment include: avoiding transmitting the first data set to the second node.

[1422] As an embodiment, the second processor belongs to the second node.

[1423] As an embodiment, the fourth processor belongs to a second node, and the first node reports the target first-category parameter group to the second node.

[1424] As an embodiment, the benefits of the above embodiment include: reducing the complexity of the first node.

[1425] As an embodiment, the third processor belongs to a second node, and the first node reports the target first-category parameter group to the second node.

[1426] As an embodiment, the benefits of the above embodiment include: supporting joint training and optimizing system performance.

[1427] As an embodiment, the third processor sends the first type of feedback to the second processor, and the first type of feedback is used to trigger recalculation or update of the target first type parameter group.

[1428] As an embodiment, the fourth processor sends a second type of feedback to the first processor, and the second type of feedback is used to generate the first data set or the second data set, or the second type of feedback is used to trigger the sending of the first data set or the second data set.

[1429] As an embodiment, the first processor generates the first data set based on measurement of a first wireless signal, where the first wireless signal includes a downlink RS.

[1430] As an embodiment, the first processor generates the second data set based on measurement of a second wireless signal, where the second wireless signal includes at least one RS resource in the first RS resource set in the present application.

[1431] As an embodiment, the first data set is a training data set, the second data set is inference data, and the second processor is used for training a model.

[1432] As an embodiment, the first data set includes training data (Training Data), the second data set includes inference data (Inference Data), the third processor is used for model training (Model Training), and the trained model is described by the target first type parameter group.

[1433] As an embodiment, the second data set includes the first input channel information in the present application.

[1434] As an embodiment, the trained model is described by the target first-category parameter group.

[1435] As an embodiment, the target first-category parameter group includes the trained model.

[1436] As an embodiment, the target first type parameter group is the trained model.

[1437] As an embodiment, the first encoding is described by the target first type parameter group.

[1438] As an embodiment, the target first-category parameter group is used to construct the first encoding.

[1439] As an embodiment, the target first category parameter group includes: one or more of: convolution kernel size, number of convolution layers, convolution step size, pooling kernel size, pooling kernel step size, pooling function, activation function, or number of feature maps.

[1440] As an embodiment, the target first-category parameter group includes: one or more of a convolution kernel, a pooling kernel, a pooling function, an activation function, parameters of a pooling function, or parameters of an activation function.

[1441] As an embodiment, the third processor constructs a model according to the target first-category parameter group, then inputs the second data set into the constructed model to obtain the first-category output, and then sends the first-category output to the fourth processor.

[1442] As an embodiment, the third processor calculates the error between the first type of output and actual data to determine the performance of the trained model; the actual data is the data received after the second data set and transmitted by the first processor.

[1443] The above-mentioned embodiment is particularly suitable for prediction-related reporting.

[1444] As an embodiment, the third processing machine restores a reference data set according to the first type of output, and an error between the reference data set and the second data set is used to generate the first type of feedback.

[1445] As an embodiment, the restoration of the reference data set usually adopts an inverse operation similar to the target first-category parameter group.

[1446] As an embodiment, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model cannot meet the requirements, the second processor will recalculate the target first type parameter group.

[1447] As an embodiment, when the error is too large or has not been updated for too long, the performance of the trained model is considered to be unable to meet the requirements.

[1448] Embodiment 14

[1449] Embodiment 14 illustrates a schematic diagram of a code according to an embodiment of the present application; Fig.14 shown.

[1450] Attached Fig.14 In the example, one encoding includes P1 encoding layers, namely encoding layers #1, #2, ..., #P1.

[1451] As an embodiment, the one encoding is the first encoding of the present application.

[1452] As an embodiment, the one code is the first reference code of the present application.

[1453] As an embodiment, P1 is equal to 1.

[1454] As an embodiment, P1 is greater than 1.

[1455] As an embodiment, the P1 encoding layers include at least one of a fully connected layer, a convolutional layer, and a pooling layer.

[1456] As an embodiment, the P1 is 2, that is, the P1 coding layers include coding layer #1 and coding layer #2, and the coding layer #1 and the coding layer #2 are respectively a convolutional layer and a fully connected layer; in the convolutional layer, at least one convolution kernel is used to convolve the first input channel information to generate a corresponding feature map, and at least one feature map output by the convolutional layer is reshaped into a vector input to the fully connected layer; the fully connected layer converts the one vector into the first channel information in this application. For a more detailed description, please refer to the technical literature related to CNN, such as Chao-Kai Wen, Deep Learning for Massive MIMO CSI Feedback, IEEE WIRELESS COMMUNICATIONS LETTERS, VOL.7, NO.5, OCTOBER 2018, etc.

[1457] As an embodiment, the P1 is 3, that is, the P1 encoding layer includes a fully connected layer, a convolutional layer, and a pooling layer.

[1458] Embodiment 15

[1459] Embodiment 15 illustrates a schematic diagram of a first function according to an embodiment of the present application; Fig.15 shown.

[1460] Attached Fig.15 In the example, the first function includes a preprocessing layer and P2 decoding layer groups, namely decoding layer groups #1, #2, ..., #P2, each decoding layer group includes at least one decoding layer. The preprocessing layer is optional.

[1461] As an embodiment, the structure of the first function is applicable to the first decoding in the present application.

[1462] As an embodiment, the structure of the first function is suitable for the first reference decoding in the present application.

[1463] As an embodiment, the preprocessing layer is a fully connected layer, which expands the size of the first channel information to the size of the first input channel information.

[1464] As an embodiment, any two decoding layer groups in the P2 decoding layer groups have the same structure, and the structure includes the number of included decoding layers, the size of input parameters and the size of output parameters of each included decoding layer, and so on.

[1465] As an embodiment, the first node indicates the structure of the P2 and the decoding layer group to the second node.

[1466] As an embodiment, the second node indicates the structure of the P2 and the decoding layer group to the first node.

[1467] As an embodiment, the first node indicates other parameters of the first function to the second node.

[1468] As an embodiment, the second node indicates other parameters of the first function to the first node.

[1469] As an embodiment, the other parameters include at least one of a threshold of an activation function, a size of a convolution kernel, a step size of a convolution kernel, and a weight between feature maps.

[1470] Example 16

[1471] Embodiment 16 illustrates a schematic diagram of a decoding layer group according to an embodiment of the present application; Fig.16 shown.

[1472] Attached Fig.16 , decoding layer group #j includes L layers, namely layers #1, #2, ..., #L; the decoding layer group is any decoding layer group among the P2 decoding layer groups.

[1473] As an embodiment, L is 4, the first layer in the L layer is the input layer, and the last three layers of the L layer are convolutional layers. For a more detailed description, please refer to CNN-related technical literature, such as Chao-Kai Wen, Deep Learning for Massive MIMO CSI Feedback, IEEE WIRELESS COMMUNICATIONS LETTERS, VOL. 7, NO. 5, OCTOBER 2018, etc.

[1474] As an embodiment, the L layer includes at least one convolutional layer and one pooling layer.

[1475] Embodiment 17

[1476] Embodiment 17 illustrates a structural block diagram of a processing device used in a first node according to an embodiment of the present application; Fig.17 shown.

[1477] In the attached Fig.17 In the embodiment, the processing device 1700 in the first node includes a first receiver 1701 and a first transmitter 1702.

[1478] The first receiver 1701 receives a first information block.

[1479] The first transmitter 1702 sends first channel information.

[1480] In embodiment 17, the first information block is used to indicate a first RS resource set, and the first RS resource set includes one or more RS resources; measurement of at least one RS resource in the first RS resource set is used to generate the first channel information; at least one of the load size of the first channel information or the type of the first channel information depends on a target parameter, and at least one decoding is used to generate the target parameter, and the at least one decoding is based on training.

[1481] As an embodiment, the at least one decoding includes only the first decoding, and the first decoding is performed at the sender of the first information block; or, the at least one decoding includes only the first reference decoding, and the first reference decoding is performed at the first node; or, the at least one decoding includes the first decoding and the first reference decoding, and the first decoding and the first reference decoding are performed at the sender of the first information block and the first node, respectively.

[1482] As an embodiment, the at least one decoding includes a first decoding, which is performed at a sender of the first information block; an output of the first decoding is used to generate a first parameter, and the first parameter is used to generate the target parameter.

[1483] As an embodiment, the at least one decoding includes a first decoding, which is performed at a sender of the first information block; an output of the first decoding is used to generate a second parameter, and the second parameter is used to generate the target parameter.

[1484] As an embodiment, the at least one decoding includes a first decoding, which is performed at the sender of the first information block; the output of the first decoding is used to generate a first parameter and a second parameter, and the first parameter and the second parameter are used to generate the target parameter.

[1485] As an embodiment, the at least one decoding includes a first reference decoding, the first reference decoding is performed at the first node, and the output of the first reference decoding is used to generate a first parameter; the first parameter is used to generate the target parameter.

[1486] As an embodiment, the at least one decoding includes a first reference decoding, the first reference decoding is performed at the first node, and the output of the first reference decoding is used to generate a second parameter; the second parameter is used to generate the target parameter.

[1487] As an embodiment, the at least one decoding includes a first reference decoding, the first reference decoding is performed at the first node, and the output of the first reference decoding is used to generate a first parameter and a second parameter; the first parameter and the second parameter are used to generate the target parameter.

[1488] As an embodiment, the at least one decoding includes a first decoding and a first reference decoding, and the first decoding and the first reference decoding are respectively performed at the sender of the first information block and the first node; the output of the first decoding is used to generate a second parameter, the output of the first reference decoding is used to generate a second parameter, and the first parameter and the second parameter are used to generate the target parameter.

[1489] As an embodiment, the at least one decoding includes a first decoding and a first reference decoding, and the first decoding and the first reference decoding are respectively performed at the sender of the first information block and the first node; the output of the first decoding is used to generate a second parameter, the output of the first reference decoding is used to generate a first parameter, and the first parameter and the second parameter are used to generate the target parameter.

[1490] As an embodiment, the number of bits included in the first channel information depends on the size relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a value greater than a threshold.

[1491] As an embodiment, the type of the first channel information depends on the size relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a value greater than a threshold.

[1492] As an embodiment, whether the first channel information is the first channel information or the second channel information depends on the size relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a threshold greater than a threshold.

[1493] As an embodiment, a first coding is used to generate the first channel information, and the first coding is performed at the first node; measurement of at least one RS resource in the first RS resource set is used to generate an input of the first coding; and the first coding is obtained through training.

[1494] As an embodiment, the first receiver receives a second information block; wherein the target parameter depends on the second information block, or the second information block depends on the target parameter.

[1495] As an embodiment, the first receiver receives a second information block; the second information block depends on the size relationship between the target parameter and at least one threshold.

[1496] As an embodiment, the first receiver receives a second information block; the second information block depends on the target parameter, and the number of bits included in the first channel information depends on the second information block.

[1497] As an embodiment, the first receiver receives a second information block; the second information block depends on the target parameter, and the type of the first channel information depends on the second information block.

[1498] As an embodiment, the first receiver receives a second information block; the second information block depends on the target parameter, and the second information block indicates the number of bits included in the first channel information.

[1499] As an embodiment, the first receiver receives a second information block; the second information block depends on the target parameter, and the second information block indicates a change in the number of bits included in the first channel information.

[1500] As an embodiment, the first receiver receives a second information block; the second information block depends on the target parameter, and the second information block indicates the type of the first channel information.

[1501] As an embodiment, the first node device is a user equipment.

[1502] As an embodiment, the first node device is a relay node device.

[1503] As an embodiment, the first receiver 1701 includes at least one of {antenna 452, receiver 454, receiving processor 456, multi-antenna receiving processor 458, controller / processor 459, memory 460, data source 467} in Embodiment 4.

[1504] As an embodiment, the first transmitter 1702 includes at least one of {antenna 452, transmitter 454, transmit processor 468, multi-antenna transmit processor 457, controller / processor 459, memory 460, data source 467} in Embodiment 4.

[1505] Embodiment 18

[1506] Embodiment 18 illustrates a structural block diagram of a processing device used in a second node according to an embodiment of the present application; Fig.18 shown.

[1507] In the attached Fig.18 In the embodiment, the processing device 1800 in the second node includes a second transmitter 1801 and a second receiver 1802.

[1508] The second transmitter 1801 sends the first information.

[1509] The second receiver 1802 receives the first channel information.

[1510] In embodiment 18, the first information block is used to indicate a first RS resource set, and the first RS resource set includes one or more RS resources; measurement of at least one RS resource in the first RS resource set is used to generate the first channel information; at least one of the load size of the first channel information or the type of the first channel information depends on a target parameter, and at least one decoding is used to generate the target parameter, and the at least one decoding is based on training.

[1511] As an embodiment, the at least one decoding includes only the first decoding, and the first decoding is performed at the sender of the first information block; or, the at least one decoding includes only the first reference decoding, and t...

Claims

1. A first node device used for wireless communication, characterized in that: include: A first receiver receives a first information block, where the first information block is used to indicate a first RS resource set, where the first RS resource set includes one or more RS resources; A first transmitter sends first channel information; wherein the measurement of at least one RS resource in the first RS resource set is used to generate the first channel information; At least one of a payload size of the first channel information or a type of the first channel information depends on a target parameter, at least one decoding is used to generate the target parameter, and the at least one decoding is obtained based on training.

2. The first node device according to claim 1, characterized in that: The at least one decoding includes only the first decoding, which is performed at the sender of the first information block; or, the at least one decoding includes only the first reference decoding, which is performed at the first node; or, the at least one decoding includes the first decoding and the first reference decoding, which are performed at the sender of the first information block and the first node, respectively.

3. The first node device according to claim 1, characterized in that: The at least one decoding comprises a first decoding, the first decoding being performed at a sender of the first information block; an output of the first decoding being used to generate a first parameter, the first parameter being used to generate the target parameter.

4. The first node device according to claim 1 or 3, characterized in that: The at least one decoding includes a first reference decoding, the first reference decoding is performed at the first node, an output of the first reference decoding is used to generate a second parameter; the second parameter is used to generate the target parameter.

5. The first node device according to any one of claims 1 to 4, characterized in that: The number of bits included in the first channel information depends on the size relationship between the target parameter and at least one threshold; the at least one threshold is a threshold, or the at least one threshold includes a value greater than a threshold.

6. The first node device according to any one of claims 1 to 5, characterized in that: A first code is used to generate the first channel information, and the first code is performed at the first node; a measurement of at least one RS resource in the first RS resource set is used to generate an input of the first code; The first code is obtained through training.

7. The first node device according to any one of claims 1 to 6, characterized in that: include: The first receiver receives a second information block; The target parameter depends on the second information block, or the second information block depends on the target parameter.

8. A second node device used for wireless communication, characterized in that: include: A second transmitter sends a first information block, where the first information block is used to indicate a first RS resource set, where the first RS resource set includes one or more RS resources; A second receiver receives the first channel information; wherein the measurement of at least one RS resource in the first RS resource set is used to generate the first channel information; At least one of a payload size of the first channel information or a type of the first channel information depends on a target parameter, at least one decoding is used to generate the target parameter, and the at least one decoding is obtained based on training.

9. A method in a first node for wireless communication, characterized in that: include: receiving a first information block, where the first information block is used to indicate a first RS resource set, where the first RS resource set includes one or more RS resources; Sending first channel information; Among them, measurement of at least one RS resource in the first RS resource set is used to generate the first channel information; at least one of the load size of the first channel information or the type of the first channel information depends on a target parameter, at least one decoding is used to generate the target parameter, and the at least one decoding is based on training.

10. A method in a second node for wireless communication, characterized in that: include: Sending a first information block, where the first information block is used to indicate a first RS resource set, where the first RS resource set includes one or more RS resources; receiving first channel information; Among them, measurement of at least one RS resource in the first RS resource set is used to generate the first channel information; at least one of the load size of the first channel information or the type of the first channel information depends on a target parameter, at least one decoding is used to generate the target parameter, and the at least one decoding is based on training.

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