Method and apparatus used in node for wireless communications

By receiving and sending configuration information blocks, the utilization of processing units is optimized, solving the redundancy overhead problem introduced by AI/ML technology in traditional wireless communication, improving the utilization rate of processing units and the accuracy of CSI reporting, and adapting to the needs of complex application scenarios.

WO2026007534A1PCT designated stage Publication Date: 2026-01-08HONOR DEVICE CO LTD
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Patent Information

Application Number
PCT/CN2025/093333
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-07-01
Filing Date
2025-05-08
Publication Date
2026-01-08

AI Technical Summary

Technical Problem

In traditional wireless communication, with the increase in the number of antennas and the diversification of application scenarios, the introduction of AI/ML technology has brought redundant overhead to measurement and reporting methods, and poses challenges to the demand and utilization of processing units.

Method used

By receiving and sending configuration information blocks, the occupation of processing units is optimized, ensuring the reasonable allocation of processing units during the measurement and reporting of multiple RS resources. This includes occupying different numbers of processing units starting from different symbols to meet the needs of different scenarios.

Benefits of technology

The utilization rate of the processing unit has been optimized, the efficiency of the processing unit has been improved, the accuracy of CSI reporting and system performance have been guaranteed, the special needs of AI/ML have been adapted, and the reporting overhead has been reduced.

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Abstract

Disclosed in the present application are a method and apparatus used in a node for wireless communications. The method comprises: a first node receiving a first configuration information block, updating a first report, and sending first report information, wherein the first configuration information block indicates M1 RS resources and M2 RS resources, M1 and M2 each being a positive integer greater than 1; the first configuration information block is used for configuring the first report; the first report information is dependent on an output of a first operation and a measurement for the M2 RS resources; an input of the first operation is dependent on a measurement for the M1 RS resources; and the first report occupies P1 processing units starting from a first symbol and occupies P2 processing units starting from a second symbol, P1 and P2 each being a positive integer, and P1 and P2 being separately determined. The method optimizes the occupancy of processing units, thereby avoiding wasting the processing units.
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Description

A method and apparatus used in a node for wireless communication

[0001] This application claims priority to the Chinese Patent Application No. 202410871759.0, filed on July 01, 2024, and entitled "A method and apparatus used in a node for wireless communication", the content of which is incorporated herein by reference in its entirety. TECHNICAL FIELD

[0002] The present application relates to a transmission method and apparatus in a wireless communication system, and in particular to a scheme and apparatus related to configuration information in a wireless communication system. BACKGROUND

[0003] In a conventional wireless communication, a UE (User Equipment) reports various assistance information, such as channel information, beam management related assistance information, positioning related assistance information, HARQ-ACK (Hybrid Automatic Repeat reQuest Acknowledgement) information, beam / radio link failure assistance information, etc., by measuring downlink signals and / or channels. The channel information includes, but is not limited to, one or more of CRI (CSI-RS Resource Indicator), RI (Rank Indicator), PMI (Precoding Matrix Indicator), or CQI (Channel quality indicator). The UE can use this information to select appropriate transmission parameters by itself or report this information. The network device selects appropriate transmission parameters for the UE according to the UE's report, such as cell camping, MCS (Modulation and Coding Scheme), TPMI (Transmitted Precoding Matrix Indicator), TCI (Transmission Configuration Indication), etc. In addition, the UE report can be used to optimize network parameters, such as better cell coverage, switching base stations according to UE location, etc.

[0004] With the adoption of new technologies, the increase in the number of antennas, the diversification of application scenarios, and the improvement of system performance requirements, the traditional measurement and reporting method will bring a large amount of redundant overhead. Therefore, in NR R(release)18, the research of AI(Artificial Intelligence, artificial intelligence) / ML(Machine Learning, machine learning) technology is launched to explore its influence on system performance and system design. SUMMARY

[0005] The applicant found through research that, compared with the prior art, the AI / ML function has special requirements, such as the need for timely retraining / deployment, stronger timeliness, higher flexibility of input and output, etc. Therefore, how to enhance the measurement and reporting mechanism to meet the needs of AI / ML to maximize the performance gain brought by AI / ML is a problem to be solved. In addition, the impact of these enhancements on the processing capacity of the UE and the occupation of the processing unit is also a problem to be solved.

[0006] To solve the above problems, a solution is disclosed in the present application. It should be noted that although a large number of embodiments of the present application are developed for AI / ML, the present application is also applicable to other schemes, such as traditional measurement and reporting schemes. In addition, the use of a unified solution in different scenarios (including but not limited to AI / ML-based schemes and traditional schemes) also helps to reduce hardware complexity and cost. In the case of no conflict, the embodiments in the first node and the features in the embodiments of the present application can be applied to the second node, and vice versa. In the case of no conflict, the embodiments of the present application and the features in the embodiments can be arbitrarily combined with each other.

[0007] As an embodiment, the explanation of the terms in the present application is based on the definition of the specification agreement TS38 series of 3GPP.

[0008] As an embodiment, the explanation of the terms in the present application is based on the definition of the specification agreement TS28 series of 3GPP.

[0009] The present application discloses a method in a first node used for wireless communication, characterized in that it comprises:

[0010] receiving a first configuration information block, the first configuration information block indicating M1 RS resources and M2 RS resources, the M1 and the M2 being positive integers greater than 1 respectively;

[0011] updating a first report, the first configuration information block being used to configure the first report;

[0012] sending a first report information;

[0013] The first report information depends on an output of the first operation and the measurement of the M2 RS resources, and an input of the first operation depends on the measurement of the M1 RS resources; the first report occupies P1 processing units from the first symbol and P2 processing units from the second symbol, and the P1 and the P2 are positive integers respectively, and the P1 and the P2 are determined respectively.

[0014] As an embodiment, the problem to be solved by the present application includes, in a scenario where one report needs measurements of multiple RS resources, and different measurements of different RS resources need different processing, how to determine the number of processing units occupied by the report; in the above method, the first report occupies the P1 processing units from the first symbol and the P2 processing units from the second symbol, and the P1 and the P2 are determined respectively, which solves the problem.

[0015] As an embodiment, the benefits of the above method include optimizing the occupation of processing units, improving the utilization of processing units, and avoiding the waste of processing units.

[0016] As an embodiment, the benefits of the above method include that the processing units can be used for both traditional CSI processing and the first operation, improving the utilization of processing units.

[0017] As an embodiment, the first node is a terminal.

[0018] According to one aspect of the present application, it is characterized in that N first type CSIs depend on the output of the first operation, the N first type CSIs are respectively for N time slot intervals, and any time slot interval in the N time slot intervals includes one or more time slots; N second type CSIs respectively depend on measurements of N groups of transmission opportunities, any group of transmission opportunities in the N groups of transmission opportunities includes transmission opportunities of part or all of the M2 RS resources; and the N is a positive integer.

[0019] As an embodiment, the essence of the above method includes that the output of the first operation includes predicted CSI or predicted beam information, and the measurement of the M2 RS resources is used to judge the reliability or accuracy of the output of the first operation.

[0020] As an embodiment, the benefits of the above method include ensuring the accuracy of CSI reporting, thereby ensuring the system performance.

[0021] According to one aspect of the present application, it is characterized in that the P1 depends on the N.

[0022] As an example, benefits of the above method include satisfying processing unit occupancy requirements for different numbers of time slot intervals.

[0023] According to an aspect of the present application, the P1 is dependent on the M1.

[0024] As an example, benefits of the above method include satisfying processing unit occupancy requirements for different numbers of RS resources.

[0025] According to an aspect of the present application, the P2 is fixed.

[0026] As an example, benefits of the above method include simplifying design.

[0027] According to an aspect of the present application, the P2 is dependent on the N.

[0028] As an example, benefits of the above method include satisfying processing unit occupancy requirements for different numbers of time slot intervals.

[0029] According to an aspect of the present application, the P2 is dependent on the M2.

[0030] As an example, benefits of the above method include satisfying processing unit occupancy requirements for different numbers of RS resources.

[0031] According to an aspect of the present application, the P1 is dependent on a first component, and the first component is related to the first operation.

[0032] As an example, benefits of the above method include better adapting to processing unit requirements of AI inference or training-based operations, and improving overall performance of a system that adopts AI inference or training-based operations.

[0033] According to an aspect of the present application, the first configuration information block indicates a first identifier, and the first operation is associated with the first identifier.

[0034] As an example, benefits of the above method include simplifying design while having good flexibility and forward compatibility.

[0035] According to an aspect of the present application, whether there is an RS resource in the M1 RS resources and an RS resource in the M2 RS resources have the same quasi co-location relationship, and the capability of the first node.

[0036] As an example, benefits of the above method include better flexibility, adapting to different terminals.

[0037] According to an aspect of the present application, it features comprising:

[0038] receiving first signaling;

[0039] wherein the first signaling triggers the first reporting information.

[0040] As an embodiment, the benefits of the above method include reducing reporting overhead.

[0041] As an embodiment, the benefits of the above method include good backward compatibility.

[0042] According to an aspect of the present application, it features that the first symbol depends on the M1 RS resources, and the second symbol depends on the M2 RS resources.

[0043] As an embodiment, the benefits of the above method include improving the use efficiency of processing units and avoiding waste of processing units.

[0044] According to an aspect of the present application, it features that the first reporting occupies the P1 processing units from the first symbol to a third symbol, and occupies the P2 processing units from the second symbol to a fourth symbol.

[0045] The present application discloses a method used in a second node for wireless communication, which features comprising:

[0046] sending a first configuration information block, the first configuration information block indicating M1 RS resources and M2 RS resources, the M1 and the M2 being positive integers greater than 1 respectively;

[0047] receiving first reporting information;

[0048] wherein the first reporting information depends on the output of a first operation and the measurement for the M2 RS resources, the input of the first operation depending on the measurement for the M1 RS resources; the sender of the first reporting information updates the first reporting, and the first configuration information block is used to configure the first reporting; the first reporting occupies P1 processing units from a first symbol and P2 processing units from a second symbol, the P1 and the P2 being positive integers respectively, and the P1 and the P2 being determined respectively.

[0049] As an embodiment, the second node is a base station.

[0050] According to an aspect of the present application, the N first type CSI depends on an output of the first operation, the N first type CSI is for N time slot intervals respectively, any of the N time slot intervals comprises one or more time slots; N second type CSI depends on measurements for N groups of transmission occasions respectively, any of the N groups of transmission occasions comprises transmission occasions of part or all of the M2 RS resources; the N is a positive integer.

[0051] As an embodiment, the method substantially comprises that the output of the first operation comprises predicted CSI or predicted beam information, and the measurements for the M2 RS resources are used to determine reliability or accuracy of the output of the first operation.

[0052] As an embodiment, the method has the advantage of ensuring accuracy of CSI reporting, thereby ensuring system performance.

[0053] According to an aspect of the present application, the P1 depends on the N.

[0054] As an embodiment, the method has the advantage of meeting the processing unit occupation requirement under different time slot interval quantities.

[0055] According to an aspect of the present application, the P1 depends on the M1.

[0056] As an embodiment, the method has the advantage of meeting the processing unit occupation requirement under different RS resource quantities.

[0057] According to an aspect of the present application, the P2 is fixed.

[0058] As an embodiment, the method has the advantage of simplifying design.

[0059] According to an aspect of the present application, the P2 depends on the N.

[0060] As an embodiment, the method has the advantage of meeting the processing unit occupation requirement under different time slot interval quantities.

[0061] According to an aspect of the present application, the P2 depends on the M2.

[0062] As an embodiment, the method has the advantage of meeting the processing unit occupation requirement under different RS resource quantities.

[0063] According to an aspect of the present application, the P1 depends on a first component, and the first component is related to the first operation.

[0064] As an example, benefits of the above method include better adaptation to the processing unit requirement of AI inference or training based operation, improved overall performance of the system employing AI inference or training based operation.

[0065] According to an aspect of the present application, the first configuration information block indicates a first identity, and the first operation is associated to the first identity.

[0066] As an example, benefits of the above method include simplified design while having good flexibility and forward compatibility.

[0067] According to an aspect of the present application, whether there is a RS resource in the M1 RS resources and a RS resource in the M2 RS resources has the same quasi co-location relationship, and the capability of the first node.

[0068] As an example, benefits of the above method include better flexibility, adaptation to different terminals.

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

[0070] Receiving first signaling;

[0071] The first signaling triggers the first reporting information.

[0072] As an example, benefits of the above method include reduced reporting overhead.

[0073] As an example, benefits of the above method include good backward compatibility.

[0074] According to an aspect of the present application, the first symbol depends on the M1 RS resources, and the second symbol depends on the M2 RS resources.

[0075] As an example, benefits of the above method include improved efficiency of the processing unit, avoiding waste of the processing unit.

[0076] According to an aspect of the present application, the first reporting occupies the P1 processing units from the first symbol to a third symbol, and the first reporting occupies the P2 processing units from the second symbol to a fourth symbol.

[0077] The present application discloses a first node used for wireless communication, characterized by comprising:

[0078] The first processor receives a first configuration information block, the first configuration information block indicating M1 RS resources and M2 RS resources, the M1 and the M2 being positive integers greater than 1 respectively;

[0079] The first processor updates a first report, the first configuration information block being used to configure the first report;

[0080] The first transmitter transmits the first report information;

[0081] The first report information depends on an output of a first operation and measurements for the M2 RS resources, an input of the first operation depending on measurements for the M1 RS resources; the first report occupies P1 processing units from a first symbol and P2 processing units from a second symbol, the P1 and the P2 being positive integers respectively, the P1 and the P2 being determined respectively.

[0082] The application discloses a second node used for wireless communication, which is characterized by comprising:

[0083] The second transmitter transmits a first configuration information block, the first configuration information block indicating M1 RS resources and M2 RS resources, the M1 and the M2 being positive integers greater than 1 respectively;

[0084] The first receiver receives first report information;

[0085] The first report information depends on an output of a first operation and measurements for the M2 RS resources, an input of the first operation depending on measurements for the M1 RS resources; a transmitter of the first report information updates a first report, the first configuration information block being used to configure the first report; the first report occupies P1 processing units from a first symbol and P2 processing units from a second symbol, the P1 and the P2 being positive integers respectively, the P1 and the P2 being determined respectively.

[0086] As one embodiment, compared with the conventional scheme, the application has the following advantages:

[0087] The occupation of the processing units is optimized, and the waste of the processing units is avoided;

[0088] The accuracy of the report is ensured, and the system performance is improved;

[0089] It is better adapted to more complex and diverse application scenarios and different technical requirements. BRIEF DESCRIPTION OF DRAWINGS

[0090] Other characteristics, objects and advantages of the application will become more apparent from the following detailed description of non-restrictive embodiments, with reference to the attached drawings.

[0091] Figure 1 shows a flowchart of a first configuration information block and a first reporting information according to one embodiment of the application;

[0092] Figure 2 shows a schematic diagram of a network architecture according to one embodiment of the application;

[0093] Figure 3 shows a schematic diagram of an embodiment of a radio protocol architecture for the user and control planes according to one embodiment of the application;

[0094] Figure 4 shows a schematic diagram of a first communication device and a second communication device according to one embodiment of the application;

[0095] Figure 5 shows a transmission between a first node and a second node according to one embodiment of the application;

[0096] Figure 6 shows a schematic diagram of M1 RS resources and M2 RS resources according to one embodiment of the application;

[0097] Figure 7 shows a schematic diagram of M1 RS resources and M2 RS resources according to one embodiment of the application;

[0098] Figure 8 shows a schematic diagram of M1 RS resources and M2 RS resources according to one embodiment of the application;

[0099] Figure 9 shows a schematic diagram of M1 RS resources and M2 RS resources according to one embodiment of the application;

[0100] Figure 10 shows a schematic diagram of M1 RS resources and M2 RS resources according to one embodiment of the application;

[0101] Figure 11 shows a schematic diagram of a deployment of a first operation according to one embodiment of the application;

[0102] Figure 12 shows a schematic diagram of N first type CSIs depending on an output of a first operation according to one embodiment of the application;

[0103] Figure 13 shows a schematic diagram of N first type CSIs for N time slot intervals, respectively, according to one embodiment of the application;

[0104] Figure 14 shows a schematic diagram of N groups of transmission occasions according to one embodiment of the application;

[0105] Figure 15 shows a schematic diagram of N groups of transmission occasions according to one embodiment of the application;

[0106] Figure 16 shows a schematic diagram of N second type CSIs depending on measurements for N groups of transmission occasions, respectively, according to one embodiment of the application;

[0107] FIG. 17 shows a schematic diagram of N first type CSI and N second type CSI according to one embodiment of the present application;

[0108] FIG. 18 shows a schematic diagram of a first identification according to one embodiment of the present application;

[0109] FIG. 19 shows a schematic diagram of whether there is a same quasi co-location relationship between RS resources in M1 RS resources and RS resources in M2 RS resources, and a capability of a first node according to one embodiment of the present application;

[0110] FIG. 20 shows a schematic diagram of a first signaling triggering a first reporting information according to one embodiment of the present application;

[0111] FIG. 21 shows a schematic diagram of a first reporting according to one embodiment of the present application;

[0112] FIG. 22 shows a schematic diagram of a first reporting according to one embodiment of the present application;

[0113] FIG. 23 shows a schematic diagram of a first reporting occupying P1 processing units from a first symbol and occupying P2 processing units from a second symbol according to one embodiment of the present application;

[0114] FIG. 24 shows a schematic diagram of P1 depending on a first component according to one embodiment of the present application;

[0115] FIG. 25 shows a schematic diagram of P1 and P2 according to one embodiment of the present application;

[0116] FIG. 26 shows a schematic diagram of a first symbol depending on M1 RS resources according to one embodiment of the present application;

[0117] FIG. 27 shows a schematic diagram of a second symbol depending on M2 RS resources according to one embodiment of the present application;

[0118] FIG. 28 shows a schematic diagram of a first reporting occupying P1 processing units from a first symbol until a third symbol according to one embodiment of the present application;

[0119] FIG. 29 shows a schematic diagram of a first reporting occupying P2 processing units from a second symbol until a fourth symbol according to one embodiment of the present application;

[0120] FIG. 30 shows a schematic diagram of an artificial intelligence or machine learning based processing system according to one embodiment of the present application;

[0121] FIG. 31 shows a schematic diagram of an artificial intelligence or machine learning based processing according to one embodiment of the present application;

[0122] ​FIG. 32 shows a schematic diagram of AI function deployment according to one embodiment of the present application;

[0123] FIG. 33 shows a schematic diagram of AI function deployment according to one embodiment of the present application;

[0124] FIG. 34 shows a schematic diagram of AI function deployment according to one embodiment of the present application;

[0125] FIG. 35 shows a schematic diagram of AI function deployment according to one embodiment of the present application;

[0126] FIG. 36 shows a schematic diagram of N first-type CSI and N second-type CSI according to one embodiment of the present application;

[0127] FIG. 37 shows a schematic diagram of M1 RS resources and M2 RS resources according to one embodiment of the present application;

[0128] FIG. 38 shows a structural block diagram of a processing apparatus in a first node according to one embodiment of the present application;

[0129] FIG. 39 shows a structural block diagram of a processing apparatus in a second node according to one embodiment of the present application. DETAILED DESCRIPTION

[0130] The technical solutions of the present application will be further described in detail below with reference to the accompanying drawings. It should be noted that the embodiments in the present application and the features in the embodiments can be combined arbitrarily without conflict. Based on performance, flexibility, complexity, overhead and compatibility, etc., the person skilled in the art has the motivation to flexibly combine the embodiments in different drawings without conflict, for example, but not limited to, the embodiments in FIG. 1 and the embodiments in FIGS. 5-39, the embodiments in FIG. 5 and the embodiments in FIGS. 6-39, etc.

[0131] Embodiment 1

[0132] Embodiment 1 shows a flowchart of a first configuration information block and a first reporting information according to one embodiment of the present application, as shown in FIG. 1. In 100 shown in FIG. 1, each block represents a step. In particular, the order of the steps in the blocks does not represent a specific time sequence between the steps.

[0133] In embodiment 1, the first node receives a first configuration information block in step 101; updates a first reporting in step 102; and sends a first reporting information in step 103. Wherein, the first configuration information block indicates M1 RS resources and M2 RS resources, the M1 and the M2 are positive integers greater than 1 respectively; the first configuration information block is used for configuring the first reporting; the first reporting information depends on an output of a first operation and measurements for the M2 RS resources, an input of the first operation depends on measurements for the M1 RS resources; the first reporting occupies P1 processing units from a first symbol and P2 processing units from a second symbol, the P1 and the P2 are positive integers respectively, and the P1 and the P2 are determined respectively.

[0134] As an embodiment, the first configuration information block is carried by higher layer signaling.

[0135] As an embodiment, the first configuration information block is carried by RRC (Radio Resource Control) signaling.

[0136] As an embodiment, the first configuration information block is carried by one RRC IE (Information Element).

[0137] As an embodiment, the first configuration information block is carried by at least one RRC IE.

[0138] As an embodiment, the first configuration information block includes information in one or more fields in one RRC IE.

[0139] As an embodiment, the first configuration information block includes information in one or more fields in each of a plurality of RRC IEs.

[0140] As an embodiment, the first configuration information block is one RRC IE.

[0141] As an embodiment, the first configuration information block is carried by a CSI-ReportConfig IE.

[0142] As an embodiment, the first configuration information block is one CSI-ReportConfig IE.

[0143] As an embodiment, the first configuration information block is carried by a ServingCellConfig IE.

[0144] As one embodiment, the first configuration information block is carried by a CSI-MeasConfig IE.

[0145] As one embodiment, the first configuration information block is carried by a ServingCellConfigCommon IE.

[0146] As one embodiment, the first configuration information block is carried by a ServingCellConfigCommonSIB IE.

[0147] As one embodiment, the first configuration information block comprises all or part of information in a CSI-ReportConfig IE.

[0148] As one embodiment, the first configuration information block comprises all or part of information in a ServingCellConfig IE.

[0149] As one embodiment, the first configuration information block comprises all or part of information in a CSI-MeasConfig IE.

[0150] As one embodiment, the first configuration information block comprises all or part of information in a ServingCellConfigCommon IE.

[0151] As one embodiment, the first configuration information block comprises all or part of information in a ServingCellConfigCommonSIB IE.

[0152] As one embodiment, the first configuration information block indicates the M1 RS resources in sequence.

[0153] As one embodiment, the first configuration information block indicates identities of the M1 RS resources in sequence.

[0154] As one embodiment, the first configuration information block indicates the M2 RS resources in sequence.

[0155] As one embodiment, the first configuration information block indicates identities of the M2 RS resources in sequence.

[0156] As one embodiment, the first configuration information block indicates a first RS resource set, and the first RS resource set comprises the M1 RS resources.

[0157] As one embodiment, the first configuration information block indicates the M1 RS resources by indicating the first RS resource set.

[0158] As one embodiment, the first configuration information block indicates an identity of the first set of RS resources.

[0159] As one embodiment, the first configuration information block indicates a second set of RS resources, the second set of RS resources including the M2 RS resources.

[0160] As one embodiment, the first configuration information block indicates the M2 RS resources by indicating the second set of RS resources.

[0161] As one embodiment, the first configuration information block indicates an identity of the second set of RS resources.

[0162] As one embodiment, the first configuration information block indicates the first set of RS resources and the second set of RS resources in sequence.

[0163] As one embodiment, an identity of the first set of RS resources is different from an identity of the second set of RS resources.

[0164] As one embodiment, the first configuration information block indicates a plurality of sets of RS resources, any RS resource of the M2 RS resources belonging to one set of RS resources of the plurality of sets of RS resources.

[0165] As one embodiment, the first configuration information block indicates the M2 RS resources by indicating the plurality of sets of RS resources.

[0166] As one embodiment, the first configuration information block indicates a plurality of sets of RS resources, any RS resource of the M1 RS resources belonging to one set of RS resources of the plurality of sets of RS resources, any RS resource of the M2 RS resources belonging to one set of RS resources of the plurality of sets of RS resources.

[0167] As one embodiment, the first configuration information block indicates the M1 RS resources and the M2 RS resources by indicating the plurality of sets of RS resources.

[0168] As one embodiment, the first configuration information block indicates the plurality of sets of RS resources in sequence.

[0169] As one embodiment, the M1 RS resources include Channel State Information Reference Signal (CSI-RS) resources.

[0170] As one embodiment, any RS resource of the M1 RS resources is a CSI-RS resource.

[0171] As one embodiment, at least one of the M1 RS resources is a CSI-RS resource.

[0172] As one embodiment, the M1 RS resources include SS / PBCH (Synchronisation Signal / Physical Broadcast Channel) block resources.

[0173] As one embodiment, any of the M1 RS resources is a SS / PBCH block resource.

[0174] As one embodiment, at least one of the M1 RS resources is a SS / PBCH block resource.

[0175] As one embodiment, any of the M1 RS resources is a CSI-RS resource or a SS / PBCH block resource.

[0176] As one embodiment, an identity of at least one of the M1 RS resources is NZP-CSI-RS-ResourceId.

[0177] As one embodiment, an identity of any of the M1 RS resources is NZP-CSI-RS-ResourceId.

[0178] As one embodiment, an identity of at least one of the M1 RS resources is SSB-Index.

[0179] As one embodiment, an identity of any of the M1 RS resources is SSB-Index.

[0180] As one embodiment, the M1 RS resources belong to a first RS resource set.

[0181] As one embodiment, the first RS resource set consists of the M1 RS resources.

[0182] As one embodiment, the first RS resource set includes a CSI-RS resource set.

[0183] As one embodiment, the first RS resource set is a CSI-RS resource set.

[0184] As one embodiment, an identity of the first RS resource set is NZP-CSI-RS-ResourceSetId.

[0185] As one embodiment, the first set of RS resources comprises a set of CSI Synchronization Signal Block (SSB) resources.

[0186] As one embodiment, the first set of RS resources comprises a set of CSI Synchronization Signal Block (SSB) resources.

[0187] As one embodiment, the identity of the first set of RS resources is CSI-SSB-ResourceSetId.

[0188] As one embodiment, the M2 RS resources comprise CSI-RS resources.

[0189] As one embodiment, any of the M2 RS resources is a CSI-RS resource.

[0190] As one embodiment, at least one of the M2 RS resources is a CSI-RS resource.

[0191] As one embodiment, the M2 RS resources comprise SS / PBCH block resources.

[0192] As one embodiment, any of the M2 RS resources is a SS / PBCH block resource.

[0193] As one embodiment, at least one of the M2 RS resources is a SS / PBCH block resource.

[0194] As one embodiment, any of the M2 RS resources is a CSI-RS resource or a SS / PBCH block resource.

[0195] As one embodiment, the identity of at least one of the M2 RS resources is NZP-CSI-RS-ResourceId.

[0196] As one embodiment, the identity of any of the M2 RS resources is NZP-CSI-RS-ResourceId.

[0197] As one embodiment, the identity of at least one of the M2 RS resources is SSB-Index.

[0198] As one embodiment, the identity of any of the M2 RS resources is SSB-Index.

[0199] As one embodiment, the M2 RS resources belong to a second set of RS resources.

[0200] As one embodiment, the second RS resource set consists of the M2 RS resources.

[0201] As one embodiment, the second RS resource set comprises a CSI-RS resource set.

[0202] As one embodiment, the second RS resource set is a CSI-RS resource set.

[0203] As one embodiment, the identity of the second RS resource set is NZP-CSI-RS-ResourceSetId.

[0204] As one embodiment, the second RS resource set comprises a CSI SSB resource set.

[0205] As one embodiment, the second RS resource set is a CSI SSB resource set.

[0206] As one embodiment, the identity of the second RS resource set is CSI-SSB-ResourceSetId.

[0207] As one embodiment, the M2 RS resources comprise RS resources in each of a plurality of RS resource sets.

[0208] As one embodiment, any of the plurality of RS resource sets is a CSI-RS resource set or a CSI SSB resource set.

[0209] As one embodiment, the M1 is less than the M2.

[0210] As one embodiment, the M1 is less than or equal to the M2.

[0211] As one embodiment, any two of the M1 RS resources are orthogonal in time domain.

[0212] As one embodiment, there are two of the M1 RS resources that are orthogonal in time domain.

[0213] As one embodiment, there are two of the M1 RS resources that overlap in time domain.

[0214] As one embodiment, the M1 RS resources comprise two parts, the two parts are orthogonal to each other in time domain, and any two RS resources in a same part of the two parts overlap in time domain.

[0215] As one embodiment, there are two of the M1 RS resources that overlap in time domain and are orthogonal in frequency domain.

[0216] As one embodiment, there are two RS resources in the M1 RS resources that overlap in time and frequency domain and have different code domain resources.

[0217] As one embodiment, any two RS resources in the M2 RS resources are orthogonal in time domain.

[0218] As one embodiment, there are two RS resources in the M2 RS resources that are orthogonal in time domain.

[0219] As one embodiment, there are two RS resources in the M2 RS resources that overlap in time domain.

[0220] As one embodiment, the M2 RS resources include two parts, the two parts are orthogonal to each other in time domain, and any two RS resources in the same part of the two parts overlap in time domain.

[0221] As one embodiment, there are two RS resources in the M2 RS resources that overlap in time domain and are orthogonal in frequency domain.

[0222] As one embodiment, there are two RS resources in the M2 RS resources that overlap in time and frequency domain and have different code domain resources.

[0223] As one embodiment, the code domain resources include w f (k′) and w t (l′), the definitions of w f (k′) and w t (l′) refer to 3GPP TS 38.211.

[0224] As one embodiment, the M1 RS resources are periodic or quasi-static.

[0225] As one sub-embodiment of the above embodiment, the period lengths of any two RS resources in the M1 RS resources are equal.

[0226] As one embodiment, the M1 RS resources are aperiodic.

[0227] As one embodiment, the M2 RS resources are periodic or quasi-static.

[0228] As one sub-embodiment of the above embodiment, the period lengths of any two RS resources in the M2 RS resources are equal.

[0229] As one embodiment, the M2 RS resources are aperiodic.

[0230] As one embodiment, the M1 RS resources are aperiodic, and the M2 RS resources are aperiodic.

[0231] As one embodiment, the M1 RS resources are periodic or quasi-static, and the M2 RS resources are aperiodic.

[0232] As one embodiment, the M1 RS resources are periodic or quasi-static, and the M2 RS resources are periodic or quasi-static.

[0233] As one embodiment, any of the M2 RS resources and one of the M1 RS resources have the same quasi co-location relationship.

[0234] As one embodiment, at least one of the M2 RS resources and one of the M1 RS resources have the same quasi co-location relationship.

[0235] As one embodiment, any of the M2 RS resources and each of the M1 RS resources have different quasi co-location relationships.

[0236] As one embodiment, at least one of the M2 RS resources and each of the M1 RS resources have different quasi co-location relationships.

[0237] As one embodiment, any of the M1 RS resources is different from any of the M2 RS resources.

[0238] As one embodiment, the RS resource identity of any of the M1 RS resources is different from the RS resource identity of any of the M2 RS resources.

[0239] As one embodiment, at least some of the M1 RS resources belong to the M2 RS resources.

[0240] As one embodiment, each of the at least some of the M1 RS resources is the same as one of the M2 RS resources.

[0241] As one embodiment, the M1 RS resources are a subset of the M2 RS resources.

[0242] As one embodiment, the M1 RS resources are a proper subset of the M2 RS resources.

[0243] As one embodiment, the M2 RS resources are periodic or quasi-static, at least part of the M1 RS resources belong to the M2 RS resources, and a periodicity length of any two RS resources in the M2 RS resources that do not belong to the M1 RS resources are equal.

[0244] As one embodiment, the M2 RS resources are periodic or quasi-static, at least part of the M1 RS resources belong to the M2 RS resources, and a periodicity length of the at least part of the RS resources is different from a periodicity length of any RS resource in the M2 RS resources that does not belong to the M1 RS resources.

[0245] As one embodiment, the M2 RS resources belong to a same CSI-RS resource set, any RS resource in the M2 RS resources is a CSI-RS resource in the same CSI-RS resource set, the M2 RS resources are periodic or quasi-static, and a periodicity length of part of the M2 RS resources is not equal to a periodicity length of another part of the M2 RS resources.

[0246] As one embodiment, a first RS resource set includes the M1 RS resources, a second RS resource set includes the M2 RS resources, at least part of the M1 RS resources belong to the M2 RS resources, and a time-domain behavior of the part of the RS resources in the first RS resource set is different from a time-domain behavior of the part of the RS resources in the second RS resource set.

[0247] As one sub-embodiment of the above embodiment, the part of the RS resources are periodic or quasi-static in the first RS resource set, and the part of the RS resources are aperiodic in the second RS resource set.

[0248] As one sub-embodiment of the above embodiment, the first RS resource set is a CSI-RS resource set, and the M1 RS resources are M1 CSI-RS resources in the first RS resource set, respectively.

[0249] As one sub-embodiment of the above embodiment, the second RS resource set is a CSI-RS resource set, and the M2 RS resources are M2 CSI-RS resources in the second RS resource set, respectively.

[0250] As one embodiment, the M1 RS resources are a subset of the M2 RS resources, the first RS resource set includes the M1 RS resources, the second RS resource set includes RS resources of the M2 RS resources other than the M1 RS resources, and the first configuration information block indicates the first RS resource set and the second RS resource set.

[0251] As one sub-embodiment of the above embodiment, the first configuration information block indicates the first RS resource set and the second RS resource set in sequence.

[0252] As one sub-embodiment of the above embodiment, the M1 RS resources are all RS resources in the first RS resource set.

[0253] As one sub-embodiment of the above embodiment, the M2 RS resources include all RS resources in the first RS resource set and all RS resources in the second RS resource set.

[0254] As one sub-embodiment of the above embodiment, the first configuration information block indicates the M1 RS resources by indicating the first RS resource set, and indicates the M2 RS resources by indicating the first RS resource set and the second RS resource set.

[0255] As one sub-embodiment of the above embodiment, the first RS resource set is one CSI-RS resource set, and the second RS resource set is one CSI-RS resource set.

[0256] As one sub-embodiment of the above embodiment, the first RS resource set is periodic or quasi-static, and the second RS resource set is aperiodic.

[0257] As one embodiment, the first report includes a CSI (Channel State Information) report.

[0258] As one embodiment, the first report is a CSI (Channel State Information) report.

[0259] As one embodiment, the first report is identified by a CSI-ReportConfigId.

[0260] As one embodiment, the first report includes a report of a performance metric.

[0261] As one embodiment, the performance metrics include one or more of SGCS (Squared Generalized Cosine Similarity), NMSE (Normalized Mean Square Error), UPT (User Perceived Throughput), throughput, hypothetical BLER (Block Error Rate), BLER, ACK (acknowledgement) / NACK (negative acknowledgement), and CSI prediction accuracy.

[0262] As one embodiment, the UPT includes at least one of average UPT and 5% UPT.

[0263] As one embodiment, the CSI prediction accuracy includes RSRP accuracy, beam prediction accuracy, success rate of correct prediction, or various combinations thereof.

[0264] As one embodiment, the beam prediction accuracy includes at least one of a probability that a first (top-1) strongest beam is a first (top-1) predicted beam, a probability that a first (top-1) strongest beam is one of a top-K (top-K) predicted beams, a probability that a first (top-1) predicted beam is one of a top-K (top-K) strongest beams.

[0265] As one embodiment, the RSRP accuracy includes at least one of an average of a difference between a RSRP of a first (top-1) predicted beam and a RSRP of a first (top-1) strongest beam, a CDF (Cumulative Distribution Function) of a difference between a RSRP of a first (top-1) predicted beam and a RSRP of a first (top-1) strongest beam.

[0266] As one embodiment, the correct prediction includes at least one of a difference between a RSRP of a first (top-1) predicted beam and a RSRP of a strongest beam is no more than x dB, a difference between a maximum RSRP of a top-K (top-K) predicted beams and a RSRP of a strongest beam is no more than x dB.

[0267] As one sub-embodiment of the above embodiment, the x is configurable.

[0268] As a sub-example of the above embodiment, the x-dependent measurement accuracy.

[0269] As an example, the first reporting comprises reporting for performance monitoring.

[0270] As an example, the first reporting is reporting for the first configuration information block.

[0271] As an example, the first reporting is CSI reporting for the first configuration information block.

[0272] As an example, the first reporting is periodic.

[0273] As an example, the first reporting is semi-persistent.

[0274] As an example, the first reporting is aperiodic.

[0275] As an example, the first configuration information block indicates that the M1 RS resources and the M2 RS resources are used for channel measurement for the first reporting.

[0276] As an example, the first configuration information block indicates that the M1 RS resources and the M2 RS resources are used for obtaining channel measurement for calculating the first reporting.

[0277] As an example, the first configuration information block indicates RS resources for channel measurement for the first reporting.

[0278] As an example, the first configuration information block indicates a reporting quantity for the first reporting.

[0279] As an example, the reporting quantity comprises a CSI reporting quantity.

[0280] As an example, the reporting quantity comprises compressed CSI.

[0281] As one embodiment, the reporting quantity comprises one or more of CQI (Channel Quality Indicator), PMI (Precoding Matrix Indicator), CRI (CSI-RS Resource Indicator), LI (Layer Indicator), RI (Rank Indicator), SSBRI (SS / PBCH Block Resource Indicator), RSRP (Reference Signal received power), SINR (Signal-to-Interference and Noise Ratio), Capability Index, and TDCP (Time Domain Channel Properties).

[0282] As one embodiment, the reporting quantity comprises a performance metric.

[0283] As one embodiment, the first configuration information block indicates a PUCCH resource allocated to the first reporting.

[0284] As one embodiment, the first configuration information block indicates a time-domain behavior of the first reporting.

[0285] As one embodiment, the time-domain behavior comprises periodic, quasi-static, and aperiodic.

[0286] As one embodiment, the first reporting is periodic, and the first configuration information block indicates a periodicity of the first reporting.

[0287] As one embodiment, the first configuration information block indicates a frequency-domain resource targeted by the first reporting.

[0288] As one embodiment, the first configuration information block indicates values of part or all of the higher layer parameters "resourcesForChannelMeasurement", "csi-IM-ResourcesForInterference", "reportQuantity", "nzp-CSI-RS-ResourcesForInterference", "reportConfigType", "reportFreqConfiguration", "timeRestrictionForChannelMeasurements", "timeRestrictionForInterferenceMeasurements", "subbandSize", or "codebookConfig" corresponding to the first reporting.

[0289] As one embodiment, the update of the first reporting comprises performing the first operation.

[0290] As one embodiment, the update of the first reporting comprises the calculation of the N first type of CSI and the calculation of the N second type of CSI.

[0291] As one embodiment, the update of the first reporting relies on measurements for the M1 RSs and measurements for the M2 RS resources.

[0292] As one embodiment, the update of the first reporting relies on the first operation and measurements for the M2 RS resources.

[0293] As one embodiment, measurements for the M1 RS resources and measurements for the M2 RS resources are jointly used to update the first reporting.

[0294] As one embodiment, the first node obtains channel measurements for updating the first reporting based on the M1 RS resources and the M2 RS resources.

[0295] As one embodiment, the first node obtains channel measurements for updating the first reporting based only on the M1 RS resources and the M2 RS resources.

[0296] As one embodiment, the first reporting is used for performance monitoring of the first operation.

[0297] As one embodiment, the first node performs performance monitoring of the first operation through the first reporting.

[0298] As one embodiment, the first node uses the first reporting to assist in performance monitoring of the first operation by the network or a sender of the first configuration information block.

[0299] As one embodiment, performance monitoring of the first operation relies on the first reporting.

[0300] As one embodiment, the first node uses the first reporting to perform performance monitoring of the first operation.

[0301] As one embodiment, a sender of the first configuration information block uses the first reporting to perform performance monitoring of the first operation.

[0302] As one embodiment, the first reporting information is for the first configuration information block.

[0303] As one embodiment, the first reporting information is reported by the first node for the first configuration information block.

[0304] As one embodiment, the first reporting information is for the first configuration information block means that the first reporting information is reported for the first configuration information block.

[0305] As one embodiment, the first reporting information is generated in accordance with the first configuration information block.

[0306] As one embodiment, the first reporting information is for the first configuration information block means that the first reporting information is generated in accordance with the first configuration information block.

[0307] As one embodiment, the first reporting information is for the first reporting.

[0308] As one embodiment, the first reporting information is reported for the first reporting.

[0309] As one embodiment, the first reporting information comprises the first reporting.

[0310] As one embodiment, the first reporting information is one reporting of the first reporting.

[0311] As one embodiment, the first reporting information relies on the update of the first reporting.

[0312] As one embodiment, the update of the first reporting comprises computing the first reporting information.

[0313] As one embodiment, the measurement for the M1 RS resources and the measurement for the M2 RS resources are jointly used to compute the first reporting information.

[0314] As one embodiment, the first node obtains channel measurements for computing the first reporting information based on the M1 RS resources and the M2 RS resources.

[0315] As one embodiment, the first node obtains channel measurements for computing the first reporting information based on only the M1 RS resources and the M2 RS resources.

[0316] As one embodiment, the first configuration information block indicates that RS resources for obtaining channel measurements for computing the first reporting information include the M1 RS resources and the M2 RS resources.

[0317] As one embodiment, the output of the first operation and measurements for the M2 RS resources are jointly used for computing the first reporting information.

[0318] As one embodiment, computing the first reporting information means computing a reporting quantity of the first reporting information.

[0319] As one embodiment, the first reporting information includes one or more reporting quantities.

[0320] As one embodiment, the first configuration information block indicates a reporting quantity included in the first reporting information.

[0321] As one embodiment, the reporting quantity includes a CSI reporting quantity.

[0322] As one embodiment, the reporting quantity includes compressed CSI.

[0323] As one embodiment, the reporting quantity includes one or more of CQI (Channel Quality Indicator), PMI (Precoding Matrix Indicator), CRI (CSI-RS Resource Indicator), LI (Layer Indicator), RI (Rank Indicator), SSBRI (SS / PBCH Block Resource Indicator), RSRP (Reference Signal received power), SINR (Signal-to-Interference and Noise Ratio), Capability Index, and TDCP (Time Domain Channel Properties).

[0324] As an embodiment, the reporting quantity comprises a performance metric.

[0325] As an embodiment, the first reporting information is transmitted on a PUCCH (Physical Uplink Control Channel), and the first configuration information block indicates a PUCCH resource allocated to the first reporting information.

[0326] As an embodiment, the first configuration information block indicates a frequency domain resource to which the first reporting information is directed.

[0327] As an embodiment, the first operation is based on training.

[0328] As an embodiment, the first operation is obtained through training.

[0329] As an embodiment, the problem to be solved by the present application includes how to determine the number of processing units occupied by a report in a scenario where a measurement for the M1 RS resources is used as an input of the first operation based on training, the report depends on an output of the first operation and depends on a measurement for the M2 RS resources.

[0330] As an embodiment, the essence of the above method includes that the first reporting information is used for performance monitoring of the first operation; and the problem to be solved by the present application includes how to determine the number of processing units occupied by a report related to performance monitoring of an operation based on training.

[0331] In the above method, the first reporting respectively occupies the P1 processing units and the P2 processing units starting from the first symbol and the second symbol, wherein the P1 and the P2 are respectively determined, and the above problem is solved.

[0332] As an embodiment, the benefit of the above method includes that the processing unit occupation requirement related to an operation based on training and other processing unit occupation requirements are simultaneously met, the design is simplified, and the waste of processing units is avoided.

[0333] As an embodiment, the benefit of the above method includes that the processing units can be used for both traditional CSI processing and operation based on training, and the utilization rate of the processing units is improved.

[0334] As an embodiment, the models of the first operation are all obtained through training.

[0335] As an embodiment, the training of the first operation is performed by the first node.

[0336] As one embodiment, the training of the first operation is performed by a sender of the first configuration information block.

[0337] As one embodiment, the training of the first operation is performed by a core network.

[0338] As one embodiment, the training of the first operation is performed by an AI training producer.

[0339] As one embodiment, the training of the first operation is performed by an MDA function (Management Data Analytics Function).

[0340] As one embodiment, the training of the first operation is performed by a NWDAF (Network Data Analytics Function).

[0341] As one embodiment, the training of the first operation is performed by an MDAS (Management Data Analytics Service) producer.

[0342] As one embodiment, the training of the first operation is performed by an MnS (Management Service) producer.

[0343] As one embodiment, the first operation includes inference.

[0344] As one embodiment, the inference refers to AI (Artificial Intelligence) inference.

[0345] As one embodiment, the first operation includes AI inference.

[0346] As one embodiment, the problem to be solved by the present application includes, how to determine the number of processing units occupied by the reporting in a scenario where the measurement for the M1 RS resources is used for input including AI inference, one report depends on the output of the AI inference and depends on the measurement for the M2 RS resources.

[0347] As one embodiment, the essence of the above method includes that the first reporting information is used for performance monitoring of the AI inference; the problem to be solved by the present application includes how to determine the number of processing units occupied by the reporting related to the performance monitoring of the AI inference.

[0348] As an embodiment, benefits of the above method include, satisfying both AI inference related processing unit occupancy requirement and other processing unit occupancy requirement, simplifying design and avoiding processing unit waste.

[0349] As an embodiment, benefits of the above method include, the processing unit can be used for both traditional CSI processing and AI inference processing, improving the utilization of the processing unit.

[0350] As an embodiment, the first operation is inference.

[0351] As an embodiment, the first operation is AI inference.

[0352] As an embodiment, the first operation includes AI inference for CSI (Channel State Information).

[0353] As an embodiment, the first operation includes AI inference for CSI prediction.

[0354] As an embodiment, the first operation includes AI inference for beam management.

[0355] As an embodiment, the first operation includes an AI entity.

[0356] As an embodiment, the first operation includes an AI entity for inference.

[0357] As an embodiment, the first operation includes a part of an AI entity.

[0358] As an embodiment, the first operation includes a part of an AI entity for inference.

[0359] As an embodiment, the first operation is performed by an AI entity.

[0360] As an embodiment, the first operation is performed by an AI entity deployed at the first node.

[0361] As an embodiment, the first operation is performed by an AI function.

[0362] As an embodiment, the first operation is performed by an AI function deployed at the first node.

[0363] As an embodiment, the AI function includes an AI inference function.

[0364] As one embodiment, the AI function includes an AI training function.

[0365] As one embodiment, the AI function includes an AI management function.

[0366] As one embodiment, the AI includes ML (Machine Learning).

[0367] As one embodiment, the AI includes AI and ML.

[0368] As one embodiment, the AI includes AI or ML.

[0369] As one embodiment, the first operation is deployment requiring.

[0370] As one embodiment, the first operation is not deployment requiring.

[0371] As one embodiment, the first operation is obtained by load.

[0372] As one embodiment, the first operation is obtained by load from a serving cell of the first node.

[0373] As one embodiment, the first operation is obtained by load from a maintaining base station of a serving cell of the first node.

[0374] As one embodiment, the first operation is obtained by load from a core network.

[0375] As one embodiment, the first operation is based on artificial intelligence or machine learning.

[0376] As one embodiment, the first operation is based on neural network.

[0377] As one embodiment, the first operation includes CSI prediction based on artificial intelligence or machine learning.

[0378] As one embodiment, the first operation includes beam management based on artificial intelligence or machine learning.

[0379] As one embodiment, the output of the first operation includes one or more of CRI, SSBRI and RSRP.

[0380] As one embodiment, the output of the first operation includes CRI.

[0381] As one embodiment, the output of the first operation comprises SSBRI.

[0382] As one embodiment, the output of the first operation comprises RSRP.

[0383] As one embodiment, the output of the first operation comprises CRI and RSRP.

[0384] As one embodiment, the output of the first operation comprises SSBRI and RSRP.

[0385] As one embodiment, the output of the first operation comprises predicted CSI.

[0386] As one embodiment, the predicted CSI comprises one or more of predicted CRI, predicted SSBRI and predicted RSRP.

[0387] As one embodiment, the prediction comprises spatial prediction or temporal prediction.

[0388] As one embodiment, the prediction comprises spatial prediction and temporal prediction.

[0389] As one embodiment, the first configuration information block indicates the first operation.

[0390] As one embodiment, the benefit of the above method comprises supporting joint optimization, further improving system performance.

[0391] As one embodiment, the benefit of the above method comprises, under a two-sided model, making the two-sided model more matched, further improving system performance.

[0392] As one embodiment, the first node determines the first operation by itself.

[0393] As one embodiment, the benefit of the above method comprises better flexibility, suitable for different terminals, and reduces air interface overhead.

[0394] As one embodiment, the first node determines the first operation by itself, and the first operation is transparent to the sender of the first configuration information block.

[0395] As one embodiment, the first node determines the first operation by itself and reports a first identifier, and the first operation is associated with the first identifier.

[0396] As one sub-embodiment of the above embodiment, the first identifier is a non-negative integer.

[0397] As one sub-embodiment of the above embodiment, the first identifier is a string.

[0398] As one sub-embodiment of the above-mentioned embodiment, the first operation is identified by the first identity.

[0399] As one sub-embodiment of the above-mentioned embodiment, an AI function or an AI entity performing the first operation is identified by the first identity.

[0400] As one sub-embodiment of the above-mentioned embodiment, a training or a training data set of the first operation is identified by the first identity.

[0401] As one embodiment, the first operation is one of a plurality of candidate operations, and the first node determines the first operation from the plurality of candidate operations by itself.

[0402] As one embodiment, each of the plurality of candidate operations is obtained by training.

[0403] As one embodiment, a model of each of the plurality of candidate operations is obtained by training.

[0404] As one embodiment, each of the plurality of candidate operations includes AI inference.

[0405] As one embodiment, each of the plurality of candidate operations includes AI inference for CSI prediction or beam management.

[0406] As one embodiment, each of the plurality of candidate operations is based on artificial intelligence or machine learning.

[0407] As one embodiment, at least one of the plurality of candidate operations is required for deployment.

[0408] As one embodiment, a sender of the first configuration information block indicates the plurality of candidate operations.

[0409] As one embodiment, the first node determines the plurality of candidate operations by itself.

[0410] As one embodiment, a sender of the first configuration information block indicates a part of the plurality of candidate operations, and the first node determines another part of the plurality of candidate operations by itself.

[0411] Generally speaking, how the first node determines the first operation from the plurality of candidate operations is determined by a hardware device manufacturer by itself, and some non-limiting embodiments are introduced as follows:

[0412] As one embodiment, the first node determines the first operation by monitoring performance of each of the plurality of candidate operations.

[0413] As one embodiment, input of each of the plurality of candidate operations depends on measurements on the M1 RS resources, output of each of the plurality of candidate operations comprises first type of CSI, and the first node monitors performance of each of the plurality of candidate operations by comparing first type of CSI output by each of the plurality of candidate operations and second type of CSI obtained based on measurements on the M2 RS resources.

[0414] As one embodiment, the first operation is one of the plurality of candidate operations with best performance.

[0415] As one embodiment, the first operation is one of the plurality of candidate operations with worst performance.

[0416] As one embodiment, the first operation is one of the plurality of candidate operations that is most recently updated.

[0417] As one embodiment, the first operation is one of the plurality of candidate operations that is most recently trained or retrained.

[0418] As one embodiment, the first operation is one of the plurality of candidate operations that is most recently deployed or redeployed.

[0419] As one embodiment, measurements obtained based on the M1 RS resources are used for input of the first operation.

[0420] As one embodiment, channel measurements obtained based on the M1 RS resources are used for input of the first operation.

[0421] As one embodiment, measurements obtained based on the M1 RS resources are used to generate input of the first operation.

[0422] As one embodiment, channel measurements obtained based on the M1 RS resources are used to generate input of the first operation.

[0423] As one embodiment, input of the first operation comprises measurements obtained based on the M1 RS resources.

[0424] As one embodiment, input of the first operation comprises measurements obtained based on at least one of the M1 RS resources.

[0425] As one embodiment, input of the first operation comprises measurements obtained based on each of the M1 RS resources.

[0426] As one embodiment, the input to the first operation comprises channel measurements obtained based on the M1 RS resources.

[0427] As one embodiment, the input to the first operation comprises channel measurements obtained based on at least one RS resource of the M1 RS resources.

[0428] As one embodiment, the input to the first operation comprises channel measurements obtained based on each RS resource of the M1 RS resources.

[0429] As one embodiment, the input to the first operation comprises RSRP of some or all of the M1 RS resources.

[0430] As one embodiment, the input to the first operation comprises quantized RSRP of some or all of the M1 RS resources.

[0431] As one embodiment, the input to the first operation relies only on measurements for the M1 RS resources among the M1 RS resources and the M2 RS resources.

[0432] As one embodiment, the input to the first operation does not rely on measurements for the M2 RS resources.

[0433] As one embodiment, measurements for the M2 RS resources are not used for the input to the first operation.

[0434] As one embodiment, all or some of the M1 RS resources belong to the M2 RS resources, and measurements for any RS resource of the M2 RS resources that does not belong to the M1 RS resources are not used for the input to the first operation.

[0435] As one embodiment, measurements for the M2 RS resources are not used for generating the input to the first operation.

[0436] As one embodiment, all or some of the M1 RS resources belong to the M2 RS resources, and measurements for any RS resource of the M2 RS resources that does not belong to the M1 RS resources are not used for generating the input to the first operation.

[0437] As one embodiment, the input to the first operation does not include measurements for the M2 RS resources.

[0438] As an embodiment, all or part of the M1 RS resources belong to the M2 RS resources, and the input of the first operation does not include a measurement for any RS resource in the M2 RS resources that does not belong to the M1 RS resources.

[0439] As an embodiment, the first report information is used for performance monitoring of the first operation.

[0440] As an embodiment, the problem to be solved by the present application includes how to determine the number of processing units occupied by the report related to performance monitoring of AI inference or training-based operation.

[0441] As an embodiment, the first node assists the network in performance monitoring of the first operation by reporting the first report information.

[0442] As an embodiment, the first node assists the sender of the first configuration information block in performance monitoring of the first operation by reporting the first report information.

[0443] Generally speaking, how to perform performance monitoring is determined by hardware device manufacturers themselves, and some non-limiting embodiments are introduced below:

[0444] As an embodiment, the first report information includes a first UPT obtained based on the output of the first operation and a second UPT obtained based on measurements of the M2 RS resources, and if the first UPT is less than the second UPT and the difference between the two is greater than a threshold, the first operation is deactivated or falls back or switches.

[0445] As an embodiment, the first report information includes a first BLER obtained based on the output of the first operation and a second BLER obtained based on measurements of the M2 RS resources, and if the first BLER is greater than the second BLER and the difference between the two is greater than a threshold, the first operation is deactivated or falls back or switches.

[0446] As an embodiment, the first report information includes a CSI prediction accuracy obtained based on the output of the first operation and measurements of the M2 RS resources, and if the CSI prediction accuracy is lower than a threshold, the first operation is deactivated or falls back or switches.

[0447] As one embodiment, the first reporting information comprises top-1 predicted beams based on the first operation and top-K strongest beams based on measurements of the M2 RS resources, and the first operation is deactivated or fallback or switch if a percentage of the top-K strongest beams including the top-1 predicted beams is below a threshold.

[0448] As one embodiment, the first reporting information comprises top-K predicted beams based on the first operation and top-1 strongest beam based on measurements of the M2 RS resources, and the first operation is deactivated or fallback or switch if a percentage of the top-K predicted beams including the top-1 strongest beam is below a threshold.

[0449] As one embodiment, the first reporting information comprises RSRP of top-1 predicted beam based on the first operation and RSRP of top-1 strongest beam based on measurements of the M2 RS resources, and the first operation is deactivated or fallback or switch if an average of a gap between the RSRP of the top-1 predicted beam and the RSRP of the top-1 strongest beam is greater than a threshold.

[0450] As one embodiment, the first reporting information comprises a success rate of correct prediction, and the first operation is deactivated or fallback or switch if the success rate of correct prediction is below a threshold.

[0451] As one embodiment, the first reporting occupies the P1 processing units of the first node from the first symbol and the P2 processing units of the first node from the second symbol.

[0452] As one embodiment, the processing units comprise CSI processing units.

[0453] As one embodiment, the P1 processing units are P1 CSI processing units and the P2 processing units are P2 CSI processing units.

[0454] As one embodiment, the processing units are CSI processing units.

[0455] As one embodiment, the processing units can be used for CSI processing.

[0456] As one embodiment, the processing units include other processing units than CSI processing units.

[0457] As one embodiment, the processing units include processing units for AI inference.

[0458] As one embodiment, the processing units can be used for AI inference.

[0459] As one embodiment, the processing units include CSI processing units and processing units for AI inference.

[0460] As one embodiment, the processing units can be used for CSI processing and AI inference.

[0461] As one embodiment, the P1 is equal to 1.

[0462] As one embodiment, the P1 is greater than 1.

[0463] As one embodiment, the P2 is equal to 1.

[0464] As one embodiment, the P2 is greater than 1.

[0465] As one embodiment, the update of the first reporting occupies the P1 processing units from the first symbol and the P2 processing units from the second symbol.

[0466] As one embodiment, the second symbol is later than the first symbol.

[0467] As one embodiment, the second symbol is later than the first symbol, and the first reporting does not occupy the processing units before the first symbol.

[0468] As one embodiment, the P1 depends on a capability of the first node.

[0469] As one embodiment, the P2 depends on a capability of the first node.

[0470] As one embodiment, both the P1 and the P2 depend on a capability of the first node.

[0471] As one embodiment, only the P1 of the P1 and the P2 depends on a capability of the first node.

[0472] As one embodiment, the capability of the first node includes a UE capability.

[0473] As one embodiment, the capability of the first node comprises a UE processing capability.

[0474] As one embodiment, the capability of the first node comprises a UE capability indication.

[0475] As one embodiment, the capability of the first node comprises a UE processing time capability.

[0476] As one embodiment, the P1 processing units are processing units occupied by the first operation.

[0477] As one embodiment, the processing units occupied by the first operation comprise processing units for obtaining input of the first operation and obtaining output of the first operation.

[0478] As one embodiment, the P2 processing units are processing units occupied by the first reporting, except the processing units occupied by the first operation.

[0479] As one embodiment, the P1 processing units are processing units related to computation of the N first type of CSI.

[0480] As one embodiment, the P2 processing units are processing units related to computation of the N second type of CSI.

[0481] As one embodiment, the P1 processing units are processing units related to computation of the N first type of CSI, and the P2 processing units are processing units related to computation of the N second type of CSI.

[0482] Embodiment 2

[0483] Embodiment 2 illustrates a schematic diagram of a network architecture according to one embodiment of the present application, as shown in FIG. 2.

[0484] FIG. 2 illustrates a network architecture 200. The network architecture 200 is a 5G NR (New Radio) / LTE (Long-Term Evolution) / LTE-A (Long-Term Evolution Advanced) system, or the network architecture 200 is a 5G+ network architecture, or the network architecture 200 is a 6G network architecture, or the network architecture 200 is a network architecture adopted in 3GPP future continued evolution; the network architecture 200 can be referred to as 5GS (5G System) / EPS (Evolved Packet System), or the network architecture 200 can be referred to as 6GS (6G System); the network architecture 200 includes a UE (User Equipment) 201, a RAN (Radio Access Network) 202, a core network 210, a HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and at least one of an Internet service 230. The network architecture 200 can be interconnected with other access networks, but these entities / interfaces are not shown for simplicity. As illustrated, the network architecture 200 provides packet-switched services, however, those skilled in the art will readily appreciate that the various concepts presented throughout this application are amenable to use with networked systems including, but not limited to, other cellular systems, wireless or wired packet-switched network systems, or other mobile communication systems. The RAN includes a node 203. The RAN can also include other nodes 204. The node 203 provides user and control plane protocol terminations toward the UE 201. The node 203 can be connected to the other nodes 204 via an Xn interface (e.g., backhaul) / X2 interface. The node 203 can also be referred to as a base station, a base transceiver station, a radio base station, a radio transceiver, a transceiver function, a basic service set (BSS), an extended service set (ESS), a TRP (Transmit Receive Point), or some other suitable terminology. The core network 210 is a 5GC (5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is a 6GC; the node 203 provides an access point to the core network 210 for the UE 201.Examples of a UE 201 include a cellular phone, a smart phone, a session initiation protocol (SIP) phone, a laptop, a personal digital assistant (PDA), a satellite radio, a non-tethered base station communication, a satellite mobile communication, a global positioning system, a multimedia device, a video device, a digital audio player (e.g., MP3 player), a camera, a game console, a drone, a flying vehicle, a narrowband internet of things device, a machine type communication device, a land vehicle, a car, a wearable device, or any other similar functional device. Those skilled in the art will also The node 203 is connected by an S1 / NG interface to the core network 210. The core network 210 includes a MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MME / AMF / SMF 214, a S-GW (Service Gateway) / UPF (User Plane Function) 212, and a P-GW (Packet Date Network Gateway) / UPF 213. The MME / AMF / SMF 211 is a control node that handles signaling between the UE 201 and the core network 210. Generally, the MME / AMF / SMF 211 provides bearer and connection management. All user IP (Internet Protocal) packets are transferred through the S-GW / UPF 212, which itself is connected to the P-GW / UPF 213. The P-GW provides UE IP address allocation as well as other functions. The P-GW / UPF 213 is connected to the Internet services 230. The Internet services 230 include operator corresponding Internet protocol services, which can specifically include the Internet, an intranet, an IMS (IP Multimedia Subsystem), and a packet switching service.

[0485] As one embodiment, the first node comprises the UE 201.

[0486] As one embodiment, the second node comprises the node 203.

[0487] As one embodiment, the wireless link between the UE 201 and the node 203 comprises a cellular network link.

[0488] As one embodiment, the sender of the first configuration information block comprises the node 203.

[0489] As one embodiment, the receiver of the first configuration information block comprises the UE 201.

[0490] As one embodiment, the execution of the first reporting of the update comprises the UE 201.

[0491] As one embodiment, the sender of the first reporting information comprises the UE 201.

[0492] As one embodiment, the receiver of the first reporting information comprises the node 203.

[0493] As one embodiment, the UE 201 supports AI or ML based operations.

[0494] As one embodiment, the UE 201 supports AI or ML based CSI.

[0495] As one embodiment, the node 203 supports AI or ML based operations.

[0496] As one embodiment, the node 203 supports AI or ML based CSI.

[0497] Embodiment 3

[0498] Embodiment 3 illustrates a schematic diagram of an embodiment of a radio protocol architecture for user plane and control plane, according to one embodiment of the application, as shown in FIG. 3.

[0499] Figure 3 is a schematic diagram illustrating an embodiment of a radio protocol architecture for a user plane 350 and a control plane 300, Figure 3 showing three layers of the radio protocol architecture for the control plane 300 between a first communication node device (UE, gNB or RSU in V2X) and a second communication node device (gNB, UE or RSU in V2X), or between two UEs: Layer 1, Layer 2, and Layer 3. Layer 1 (LI layer) is the lowest layer and implements various PHY (Physical layer) signal processing functions. The LI layer will be referred to as the PHY 301 herein. Layer 2 (L2 layer) 305 is above the PHY 301 and is responsible for the link between the first communication node device and the second communication node device, or between two UEs. The L2 layer 305 includes a MAC (Medium Access Control) sublayer 302, a RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate the functions of the second communication node device. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. The PDCP sublayer 304 also provides security functions, such as ciphering of the data packets, and header compression. The RLC sublayer 303 provides segmentation and reassembly of upper layer data packets, retransmission of lost data packets, and reordering of data packets to compensate for out-of-order reception due to HARQ. The MAC sublayer 302 provides multiplexing between logical and transport channels. The MAC sublayer 302 is also responsible for allocating the various radio resources (e.g., resource blocks) in one cell among the UEs. The MAC sublayer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sublayer 306 in Layer 3 (L3 layer) in the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and the use of RRC signaling between the second communication node device and the first communication node device for configuring the lower layers. The radio protocol architecture for the user plane 350 includes Layer 1 (LI layer) and Layer 2 (L2 layer), which are substantially the same as the corresponding layers and sublayers in the control plane 300 for the physical layer 351, the PDCP sublayer 354 in the L2 layer 355, the RLC sublayer 353 in the L2 layer 355, and the MAC sublayer 352 in the L2 layer 355 for the first communication node device and the second communication node device, but the PDCP sublayer 354 also provides header compression for upper layer data packets to reduce radio transmission overhead.The L2 layer 355 in the user plane 350 also includes a SDAP (Service Data Adaptation Protocol) sublayer 356, which is responsible for the mapping between a QoS flow and a data radio bearer (DRB) to support the diversity of services. Although not illustrated, the first communication node device can have several upper layers above the L2 layer 355, including a network layer (e.g., IP layer) that terminates at a P-GW on the network side and an application layer that terminates at the other end of the connection (e.g., a remote UE, a server, etc.).

[0500] As one embodiment, the wireless protocol architecture in FIG. 3 is applicable to the first node.

[0501] As one embodiment, the wireless protocol architecture in FIG. 3 is applicable to the second node.

[0502] As one embodiment, the higher layer in this application refers to a layer above the physical layer.

[0503] As one embodiment, the first configuration information block is generated at the RRC sublayer 306.

[0504] As one embodiment, the first reporting information is generated at the PHY 301 or the PHY 351.

[0505] As one embodiment, the update of the first reporting is performed at the PHY 301 or the PHY 351.

[0506] As one embodiment, the first signaling is generated at the PHY 301 or the PHY 351.

[0507] Embodiment 4

[0508] Embodiment 4 illustrates a schematic diagram of a first communication device and a second communication device according to one embodiment of the present application, as shown in FIG. 4. FIG. 4 is a block diagram of a first communication device 410 and a second communication device 450 that communicate with each other in an access network.

[0509] 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.

[0510] The second communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmit processor 468, a receive processor 456, a multi-antenna transmit processor 457, a multi-antenna receive processor 458, a transmitter / receiver 454, and antennas 452.

[0511] In the transmission from the first communication device 410 to the second communication device 450, at the first communication device 410, upper layer packets from a core network are provided to the controller / processor 475. The controller / processor 475 implements functionality of the L2 layer. In the DL (DownLink), the controller / processor 475 provides header compression, ciphering, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocations for the second communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the second communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for the LI layer (i.e., physical layer). The transmit processor 416 implements coding and interleaving to facilitate forward error correction (FEC) at the second communication device 450, and constellation mapping based on various modulation schemes (e.g., binary phase-shift keying (BPSK), quadrature phase-shift keying (QPSK), M-phase-shift keying (M-PSK), M-quadrature amplitude modulation (M-QAM)). The multi-antenna transmit processor 471 performs digital spatial pre-coding of the coded and modulated symbols, including codebook-based and non-codebook-based pre-coding, and beamforming processing, generating one or more parallel streams. The transmit processor 416 then maps to each parallel stream to subcarriers, multiplexes the modulated symbols with reference signals (e.g., pilot) in time domain and / or frequency domain, and then performs an inverse fast Fourier transform (IFFT) to generate time domain multi-carrier symbol streams. The multi-antenna transmit processor 471 then performs transmit analog pre-coding / beamforming operations on the time domain multi-carrier symbol streams. Each transmitter 418 converts the baseband multi-carrier symbol streams provided by the multi-antenna transmit processor 471 into radio frequency streams, which are then provided to different antennas 420.

[0512] In transmission from the first communication device 410 to the second communication device 450, at the second communication device 450, each receiver 454 receives a signal through its respective antenna 452. Each receiver 454 recovers information modulated onto an RF carrier and converts the RF stream into a baseband multi-carrier symbol stream that provides a received signal to a receive processor 456. The receive processor 456 and a multiple antenna receive processor 458 implement various signal processing functions of the Ll layer. The multiple antenna receive processor 458 performs receive analog precoding / beamforming operation on the baseband multi-carrier symbol stream from the receivers 454. The receive processor 456 converts the baseband multi-carrier symbol stream from the receive analog precoding / beamforming operation from the time domain to the frequency domain using a Fast Fourier Transform (FFT). In the frequency domain, the physical layer data signals and the reference signals are demultiplexed by the receive processor 456, where the reference signals will be used for channel estimation, and the data signals are recovered after multi-antenna detection in the multiple antenna receive processor 458 for any parallel streams destined to the second communication device 450. The symbols on each parallel stream are demodulated and recovered in the receive processor 456 and generate soft decisions. The receive processor 456 then decodes and de-interleaves the soft decisions to recover the upper layer data and control signals transmitted by the first communication device 410 on the physical channels. The upper layer data and control signals are then provided to a controller / processor 459. The controller / processor 459 implements the functions of the L2 layer. The controller / processor 459 can be associated with a memory 460 that stores program codes and data. The memory 460 can be referred to as a computer readable medium. In the DL, the controller / processor 459 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover upper layer data packets from the core network. The upper layer data packets are then provided to all protocol layers above the L2 layer. Various control signals can also be provided to the L3 for L3 processing. The controller / processor 459 is also responsible for error detection using an acknowledgement (ACK) and / or negative acknowledgement (NACK) protocol to support HARQ operations.

[0513] In the transmission from the second communication device 450 to the first communication device 410, at the second communication device 450, a data source 467 is used to provide upper layer packets to a controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmit function described at the first communication device 410 in the DL, the controller / processor 459 implements header compression, ciphering, packet segmentation and reordering, and multiplexing between logical and transport channels based on radio resource allocations for the first communication device 410, implements L2 layer functionality for the user plane and control plane. The controller / processor 459 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the first communication device 410. A transmit processor 468, in conjunction with a multi-antenna transmit processor 457, performs modulation mapping, channel coding processing, digital multi-antenna spatial processing, including codebook-based and non-codebook-based precoding, and beamforming processing, and then the transmit processor 468 generates parallel streams of symbols that are modulated onto different carriers, and the modulated symbol streams are then provided to different antennas 452 via transmitters 454 after analog precoding / beamforming at the multi-antenna transmit processor 457. Each transmitter 454 modulates a respective symbol stream, converts the modulated symbol stream from digital form to analog form, and transmits the analog signal via the corresponding antenna 452.

[0514] In the transmission from the second communication device 450 to the first communication device 410, the functionality at the first communication device 410 is similar to the functionality described in connection with the reception at the second communication device 450 in the transmission from the first communication device 410 to the second communication device 450. Each receiver 418 receives a signal from its respective antenna 420, converts the received signal to a baseband signal, and provides the baseband signal to a multi-antenna receive processor 472 and a receive processor 470. The receive processor 470 and the multi-antenna receive processor 472, in conjunction with the controller / processor 475, implement the L1 layer functions. The controller / processor 475 implements L2 layer functionality. The controller / processor 475 can be associated with a memory 476 that stores program codes and data. The memory 476 can be referred to as a computer-readable medium. The controller / processor 475 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover upper layer packets from the second communication device 450. Upper layer packets from the controller / processor 475 can be provided to a core network. The controller / processor 475 is also responsible for error detection using an ACK and / or NACK protocol to support HARQ operations.

[0515] As one embodiment, the second communication device 450 comprises: at least one processor and at least one memory including a computer program code; the at least one memory and the computer program code are configured to, with the at least one processor, cause the performance of the following actions. The second communication device 450 is caused to perform at least the following actions: receiving the first configuration information block; updating the first reporting; sending the first reporting information. The first configuration information block indicates M1 RS resources and M2 RS resources, the M1 and the M2 are positive integers greater than 1 respectively; the first reporting information depends on the output of a first operation and the measurement for the M2 RS resources, the input of the first operation depends on the measurement for the M1 RS resources; the first configuration information block is used to configure the first reporting, the first reporting occupies P1 processing units from a first symbol and P2 processing units from a second symbol, the P1 and the P2 are positive integers respectively, the P1 and the P2 are determined respectively.

[0516] As one embodiment, the second communication device 450 comprises: a memory storing a computer readable program of instructions which, when executed by at least one processor, causes the performance of the following actions. The actions include: receiving the first configuration information block; updating the first reporting; sending the first reporting information.

[0517] As one embodiment, the first communication device 410 comprises: at least one processor and at least one memory including a computer program code; the at least one memory and the computer program code are configured to, with the at least one processor, cause the performance of the following actions. The first communication device 410 is caused to perform at least the following actions: sending the first configuration information block; receiving the first reporting information. The first configuration information block indicates M1 RS resources and M2 RS resources, the M1 and the M2 are positive integers greater than 1 respectively; the first reporting information depends on the output of a first operation and the measurement for the M2 RS resources, the input of the first operation depends on the measurement for the M1 RS resources; the sender of the first reporting information updates the first reporting, the first configuration information block is used to configure the first reporting; the first reporting occupies P1 processing units from a first symbol and P2 processing units from a second symbol, the P1 and the P2 are positive integers respectively, the P1 and the P2 are determined respectively.

[0518] As one embodiment, the first communication device 410 comprises: a memory storing a computer readable program of instructions which, when executed by at least one processor, causes the performance of the following actions. The actions include: sending the first configuration information block; receiving the first reporting information.

[0519] As one embodiment, the first node in the present application comprises the second communication device 450.

[0520] As one embodiment, the second node in the present application comprises the first communication device 410.

[0521] As one 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, the data source 467} is configured to receive the first configuration information block; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, the memory 476} is configured to transmit the first configuration information block.

[0522] As one 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, the data source 467} is configured to update the first report.

[0523] As one embodiment, at least one of {the antenna 420, the receiver 418, the receiving processor 470, the multi-antenna receiving processor 472, the controller / processor 475, the memory 476} is configured to receive the first report information; at least one of {the antenna 452, the transmitter 454, the transmitting processor 468, the multi-antenna transmitting processor 457, the controller / processor 459, the memory 460, the data source 467} is configured to transmit the first report information.

[0524] As one 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, the data source 467} is configured to receive the first signaling; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, the memory 476} is configured to transmit the first signaling.

[0525] Embodiment 5

[0526] Embodiment 5 illustrates a flowchart of a transmission according to an embodiment of the present application; as shown in FIG. 5. In FIG. 5, the second node U1 and the first node U2 are communication nodes of a transmission over an air interface. In FIG. 5, the steps in block F51 and block F52 are optional, respectively.

[0527] For the second node U1, a first configuration information block is transmitted in step S511; a first signaling is transmitted in step S5101; and a first reporting information is received in step S512.

[0528] For the first node U2, a first operation is deployed in step S5201; a first configuration information block is received in step S521; a first signaling is received in step S5202; a first reporting is updated in step S522; and a first reporting information is transmitted in step S523.

[0529] In embodiment 5, the first configuration information block indicates M1 RS resources and M2 RS resources, the M1 and the M2 are positive integers greater than 1, respectively; the first configuration information block is used to configure the first reporting; the first reporting information depends on an output of the first operation and measurements for the M2 RS resources, an input of the first operation depends on measurements for the M1 RS resources; the first reporting occupies P1 processing units from a first symbol and P2 processing units from a second symbol, the P1 and the P2 are positive integers, respectively, and the P1 and the P2 are determined respectively.

[0530] As one embodiment, the first node U2 is the first node in the present application.

[0531] As one embodiment, the second node U1 is the second node in the present application.

[0532] As one embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between a base station device and a user equipment.

[0533] As one embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between a relay node device and a user equipment.

[0534] As one embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between a user equipment and a user equipment.

[0535] As one embodiment, the second node U1 is a serving cell maintaining base station of the first node U2.

[0536] As an embodiment, the first configuration information block is transmitted on a PDSCH (Physical Downlink Shared Channel).

[0537] As an embodiment, the first reporting information is transmitted on a PUSCH (Physical Uplink Shared Channel).

[0538] As an embodiment, the first reporting information is transmitted on a PUCCH (Physical Uplink Control Channel).

[0539] As an embodiment, the first node obtains channel measurement for calculating the first reporting information based on transmission occasions of the M1 RS resources no later than a first reference time slot.

[0540] As an embodiment, for any RS resource of the M1 RS resources, the first node obtains channel measurement for calculating the first reporting information based only on transmission occasions of this RS resource no later than a first reference time slot.

[0541] As an embodiment, for any RS resource of the M1 RS resources, the first node obtains channel measurement for calculating the first reporting information based only on the most recent transmission occasion of this RS resource no later than a first reference time slot.

[0542] As an embodiment, the first node obtains channel measurement for calculating the first reporting information based on transmission occasions of the M2 RS resources no later than a first reference time slot.

[0543] As an embodiment, for any RS resource of the M2 RS resources, the first node obtains channel measurement for calculating the first reporting information based only on transmission occasions of this RS resource no later than a first reference time slot.

[0544] As an embodiment, for any RS resource of the M2 RS resources, the first node obtains channel measurement for calculating the first reporting information based only on the most recent transmission occasion of this RS resource no later than a first reference time slot.

[0545] As an embodiment, the first reference time slot depends on a time domain resource of the first reporting information.

[0546] As an embodiment, the first reference time slot depends on n0 and a first offset, the first reporting information is transmitted in time slot n1; the n0 depends on the n1, and the first offset is an integer.

[0547] As one embodiment, the first reference slot is slot (n0 - the first offset).

[0548] As one embodiment, the n0 is dependent on a downlink subcarrier spacing configuration.

[0549] As one embodiment, the n0 is dependent on an uplink subcarrier spacing configuration.

[0550] As one embodiment, the n0 is dependent on a product of the n1 and a first ratio, the first ratio is equal to a ratio of a first given integer power of 2 and a second given integer power of 2, the first given integer is equal to a downlink subcarrier spacing configuration, the second given integer is equal to an uplink subcarrier spacing configuration.

[0551] As one embodiment, the n0 is equal to a floor of a product of the n1 and the first ratio.

[0552] As one embodiment, the n0 is equal to a floor of a product of the n1 and the first ratio plus a third offset; the third offset is an integer.

[0553] As one sub-embodiment of the above embodiment, the third offset is dependent on a higher layer parameter "ca-SlotOffset".

[0554] As one sub-embodiment of the above embodiment, the third offset is dependent on a downlink subcarrier spacing configuration.

[0555] As one sub-embodiment of the above embodiment, the third offset is equal to a floor of a first given value, the first given value is linearly related to a first given integer power of 2, the first given integer is equal to a downlink subcarrier spacing configuration.

[0556] As one embodiment, the first offset is dependent on a downlink subcarrier spacing configuration.

[0557] As one embodiment, the first reporting is aperiodic, the first offset is such that the first reference slot and the first signaling are in a same valid downlink slot.

[0558] As one embodiment, the first offset is a minimum value that is greater than or equal to a first threshold and such that slot (n0 - the first offset) corresponds to a valid downlink slot; the first threshold is an integer.

[0559] As one sub-embodiment of the above embodiment, the first threshold is related to a downlink subcarrier spacing configuration.

[0560] As a sub-example of the above embodiment, the first threshold is related to a delay requirement.

[0561] As an example, the first reference time slot is (n0 - the first offset - the second offset), and the second offset is a positive integer.

[0562] As a sub-example of the above embodiment, the second offset depends on a higher layer parameter "CellSpecificKoffset".

[0563] As a sub-example of the above embodiment, the second offset depends on a Differential Koffset MAC CE command.

[0564] As a sub-example of the above embodiment, the second offset depends on a downlink subcarrier spacing configuration.

[0565] As an example, a subcarrier spacing configuration of the M1 RS resources is the downlink subcarrier spacing configuration.

[0566] As an example, a subcarrier spacing configuration of the M2 RS resources is the downlink subcarrier spacing configuration.

[0567] As an example, a subcarrier spacing configuration of the first reporting information is the uplink subcarrier spacing configuration.

[0568] As an example, the downlink subcarrier spacing configuration is a non-negative integer.

[0569] As an example, the downlink subcarrier spacing configuration has no unit.

[0570] As an example, the uplink subcarrier spacing configuration is a non-negative integer.

[0571] As an example, the uplink subcarrier spacing configuration has no unit.

[0572] As an example, a subcarrier spacing of a downlink signal is equal to 2 raised to the power of the downlink subcarrier spacing configuration times 15 kHz.

[0573] As an example, a subcarrier spacing of an uplink signal is equal to 2 raised to the power of the uplink subcarrier spacing configuration times 15 kHz.

[0574] As an example, the step in block F51 in FIG. 5 exists, and the method in the first node used for wireless communication includes deploying the first operation.

[0575] As one embodiment, the deployment of the first operation is earlier than the reception of the first configuration information block.

[0576] As one embodiment, the deployment of the first operation is later than the reception of the first configuration information block.

[0577] As one embodiment, the first operation is deployment-free.

[0578] As one embodiment, the above manner has the advantage of supporting joint training and optimization, further improving performance.

[0579] As one embodiment, the step in block F51 in FIG. 5 is absent, and the first operation is deployment-free.

[0580] As one embodiment, the first operation is trained by the first node, and the first operation is deployment-free.

[0581] As one embodiment, the above manner has the advantage of being more flexible in adapting to different terminals and reducing air interface overhead.

[0582] As one embodiment, N first type CSIs depend on the output of the first operation, the N first type CSIs are respectively for N time slot intervals, any time slot interval in the N time slot intervals includes one or more time slots; N second type CSIs respectively depend on measurements for N groups of transmission opportunities, any group of transmission opportunities in the N groups of transmission opportunities includes transmission opportunities of part or all of the M2 RS resources; and the N is a positive integer.

[0583] As one embodiment, the N time slot intervals are mutually orthogonal in time domain.

[0584] As one embodiment, the N groups of transmission opportunities are mutually orthogonal in time domain.

[0585] As one embodiment, one group of transmission opportunities in the N groups of transmission opportunities includes two transmission opportunities overlapping in time domain.

[0586] As one embodiment, any group of transmission opportunities in the N groups of transmission opportunities includes two transmission opportunities overlapping in time domain.

[0587] As one embodiment, the transmission opportunities in any group of transmission opportunities in the N groups of transmission opportunities are mutually orthogonal in time domain.

[0588] As one embodiment, the N groups of transmission opportunities are respectively located in the N time slot intervals in time domain.

[0589] As an example, any of the N groups of transmission occasions comprises one transmission occasion for each of only some of the M2 RS resources.

[0590] As an example, any of the N groups of transmission occasions comprises one transmission occasion for each of only some of the M2 RS resources.

[0591] As an example, the first reporting information comprises the N first type of CSI and the N second type of CSI.

[0592] As an example, the above method has the benefit of reporting CSI to assist network side computing performance metrics, supporting joint optimization, and further improving system performance.

[0593] As an example, the first reporting information does not comprise the N first type of CSI and the N second type of CSI.

[0594] As an example, the first reporting information depends on the N first type of CSI and the N second type of CSI.

[0595] As an example, the first reporting information comprises a first performance metric, and the first performance metric depends on the N first type of CSI and the N second type of CSI.

[0596] As an example, the first reporting information comprises a first performance metric, and the first performance metric depends on the N first type of CSI and the N second type of CSI, and the first reporting information does not comprise the N first type of CSI and the N second type of CSI.

[0597] As an example, the above method has the benefit of reporting performance metrics instead of CSI, reducing reporting overhead.

[0598] As an example, the above method has the benefit of UE having higher degrees of freedom, supporting more different terminals.

[0599] As an example, the calculation of the first performance metric depends on the N first type of CSI and the N second type of CSI.

[0600] As an example, the N first type of CSI and the N second type of CSI both depend on the first configuration information block.

[0601] As an example, the N depends on the first configuration information block.

[0602] As an example, the first configuration information block indicates the N.

[0603] As one embodiment, which feedback quantities are included in the N first type of CSI depends on the first configuration information block.

[0604] As one embodiment, the first configuration information block indicates which feedback quantities are included in the N first type of CSI.

[0605] As one embodiment, which feedback quantities are included in the N second type of CSI depends on the first configuration information block.

[0606] As one embodiment, the first configuration information block indicates which feedback quantities are included in the N second type of CSI.

[0607] As one embodiment, any transmission occasion in the N groups of transmission occasions is the nearest one of the corresponding RS resources no later than a first reference time slot.

[0608] As one embodiment, for the M2 RS resources, the first node only obtains channel measurements for calculating the first reported information based on the N groups of transmission occasions.

[0609] As one embodiment, for any RS resource in the M2 RS resources, the first node only obtains channel measurements for calculating the first reported information based on transmission occasions of this RS resource in the N groups of transmission occasions.

[0610] As one embodiment, the first node obtains channel measurements for calculating the first reported information based on transmission occasions of the M1 RS resources no later than the N groups of transmission occasions.

[0611] As one embodiment, for any RS resource in the M1 RS resources, the first node only obtains channel measurements for calculating the first reported information based on transmission occasions of this RS resource no later than the N groups of transmission occasions.

[0612] As one embodiment, for any RS resource in the M1 RS resources, the first node only obtains channel measurements for calculating the first reported information based on the nearest transmission occasion of this RS resource no later than the N groups of transmission occasions.

[0613] As one embodiment, no later than the N groups of transmission occasions means no later than the earliest one of the N groups of transmission occasions.

[0614] As one embodiment, no later than the N groups of transmission occasions means no later than the latest one of the N groups of transmission occasions.

[0615] As one embodiment, the P1 depends on the N.

[0616] As one embodiment, the P1 depends on the M1.

[0617] As one embodiment, the P2 is fixed.

[0618] As one embodiment, the P2 depends on the N.

[0619] As one embodiment, the P2 depends on the M2.

[0620] As one embodiment, the P1 depends on a first component, the first component being related to the first operation.

[0621] As one embodiment, the first configuration information block indicates a first identity, the first operation being associated to the first identity.

[0622] As one embodiment, whether there is a same quasi co-location relationship between a RS resource in the M1 RS resources and a RS resource in the M2 RS resources is related to a capability of the first node U2.

[0623] As one embodiment, the step in block F52 in FIG. 5 exists, the first signaling triggering the first reporting information.

[0624] As one embodiment, the first signaling is transmitted on a PDCCH (Physical Downlink Control Channel).

[0625] As one embodiment, the first symbol depends on the M1 RS resources, the second symbol depends on the M2 RS resources.

[0626] As one embodiment, the first reporting occupies the P1 processing units from the first symbol to a third symbol, the first reporting occupies the P2 processing units from the second symbol to a fourth symbol.

[0627] Embodiment 6

[0628] Embodiment 6 illustrates a diagram of M1 RS resources and M2 RS resources according to one embodiment of the present application; as shown in FIG. 6. In embodiment 6, the M1 RS resources are periodic or quasi-static, a length of a period of each RS resource in the M1 RS resources is a first period length; the M2 RS resources are periodic or quasi-static, a length of a period of each RS resource in the M2 RS resources is a second period length; the first period length is greater than the second period length.

[0629] As one embodiment, the first period length is a positive integer times of the second period length.

[0630] As one embodiment, the first period length is N times of the second period length.

[0631] As one embodiment, the N groups of transmission occasions include transmission occasions of each of the M2 RS resources in N consecutive periods.

[0632] As one embodiment, any of the M1 RS resources is different from any of the M2 RS resources.

[0633] As one embodiment, any of the M2 RS resources is different from any of the M1 RS resources.

[0634] Embodiment 7

[0635] Embodiment 7 illustrates a diagram of M1 RS resources and M2 RS resources according to one embodiment of the present application; as shown in FIG. 7. In embodiment 7, the M1 RS resources are periodic or quasi-static, and the M2 RS resources are periodic or quasi-static; part of the M1 RS resources belong to the M2 RS resources, and the length of the period of any of the M1 RS resources that does not belong to the M2 RS resources is a first period length; the length of the period of each of the M2 RS resources is a second period length; the first period length is greater than the second period length.

[0636] As one embodiment, the first period length is a positive integer times of the second period length.

[0637] As one embodiment, the first period length is N times of the second period length.

[0638] As one embodiment, the N groups of transmission occasions include transmission occasions of each of the M2 RS resources in N consecutive periods.

[0639] As one embodiment, the first RS resource set includes the M1 RS resources, the second RS resource set includes the M2 RS resources, and part of the M1 RS resources belong to the M2 RS resources.

[0640] As one sub-embodiment of the above-mentioned embodiment, the part of the RS resources is a common part of the first RS resource set and the second RS resource set.

[0641] As one subembodiment of the above embodiment, the periodicity of the partial RS resources in the first set of RS resources is different from the periodicity of the M1 RS resources in the second set of RS resources.

[0642] As one subembodiment of the above embodiment, the partial RS resources are transmitted only once when the first set of RS resources and the second set of RS resources overlap in time domain.

[0643] Embodiment 8

[0644] Embodiment 8 illustrates a diagram of M1 RS resources and M2 RS resources according to one embodiment of the present application; as shown in FIG. 8. In embodiment 8, the M1 RS resources are periodic or quasi-static, the length of the periodicity of each RS resource in the M1 RS resources is a first periodicity length; the M2 RS resources are periodic or quasi-static, the M2 RS resources include N groups of RS resources, each group of RS resources in the N groups of RS resources includes partial RS resources in the M2 RS resources, the length of the periodicity of each RS resource in the M2 RS resources is the first periodicity length.

[0645] In FIG. 8, the N groups of RS resources are respectively denoted as RS resource group #0, …, RS resource group #(N-1).

[0646] As one embodiment, the N groups of RS resources are orthogonal to each other in time domain.

[0647] Embodiment 9

[0648] Embodiment 9 illustrates a diagram of M1 RS resources and M2 RS resources according to one embodiment of the present application; as shown in FIG. 9. In embodiment 9, the M1 RS resources are periodic or quasi-static, the length of the periodicity of each RS resource in the M1 RS resources is a first periodicity length; the M2 RS resources are aperiodic, and the first signaling triggers the N groups of transmission occasions.

[0649] In FIG. 9, the N groups of transmission occasions are respectively denoted as transmission occasion group #0, …, transmission occasion group #(N-1).

[0650] As one embodiment, the first signaling triggers the M2 RS resources.

[0651] As one embodiment, the first signaling triggers N transmissions of each RS resource in the M2 RS resources.

[0652] As one subembodiment of the above embodiment, the interval between the earliest symbol and the latest symbol in the N transmissions is no greater than the first periodicity length.

[0653] As a sub-embodiment of the above-mentioned embodiment, the N transmissions are located within a same period of any of the M1 RS resources in time domain.

[0654] As an embodiment, an interval between an earliest symbol and a latest symbol of the N groups of transmission occasions is no larger than the first period length.

[0655] As an embodiment, the N groups of transmission occasions are located within a same period of any of the M1 RS resources in time domain.

[0656] As an embodiment, the first signaling indicates time domain resources of the N groups of transmission occasions.

[0657] As an embodiment, the N groups of transmission occasions belong to the N time slot intervals respectively in time domain.

[0658] As an embodiment, the first signaling indicates time domain resources of the N groups of transmission occasions, such that the N groups of transmission occasions belong to the N time slot intervals respectively in time domain.

[0659] Embodiment 10

[0660] Embodiment 10 illustrates a schematic diagram of M1 RS resources and M2 RS resources according to an embodiment of the present application; as shown in FIG. 10. In embodiment 10, the M1 RS resources are periodic or quasi-static, a length of a period of each RS resource in the M1 RS resources is a first period length; the M2 RS resources are aperiodic, the M2 RS resources include N RS resource groups, each RS resource group in the N RS resource groups includes part of RS resources in the M2 RS resources.

[0661] In FIG. 10, the N RS resource groups are respectively denoted as RS resource group #0, …, RS resource group #(N-1).

[0662] As an embodiment, the first signaling triggers one transmission of each RS resource in the M2 RS resources.

[0663] As an embodiment, the N RS resource groups are orthogonal to each other in time domain.

[0664] Embodiment 11

[0665] Embodiment 11 illustrates a schematic diagram of deploying a first operation according to an embodiment of the present application; as shown in FIG. 11. In embodiment 11, the first node makes a request to a first producer to load the first operation, and obtains the first operation from the first producer.

[0666] As one embodiment, the deployment comprises obtaining the first operation.

[0667] As one embodiment, the deployment comprises obtaining an AI entity.

[0668] As one embodiment, the deployment comprises obtaining an AI entity that performs the first operation.

[0669] As one embodiment, the deployment comprises obtaining an AI entity that comprises an AI function that performs the first operation.

[0670] As one embodiment, the deployment comprises obtaining an AI function.

[0671] As one embodiment, the deployment comprises obtaining an AI function that performs the first operation.

[0672] As one embodiment, the deployment comprises loading the first operation.

[0673] As one embodiment, the deployment comprises making a request to load the first operation.

[0674] As one embodiment, the request in Figure 11 is a request to load the first operation made by the first node.

[0675] As one embodiment, the response in Figure 11 is a response to the request to load the first operation made by the first node.

[0676] As one embodiment, the first node obtains the first operation through the response in Figure 11.

[0677] As one embodiment, the first node obtains a model of the first operation through the response in Figure 11.

[0678] As one embodiment, the first node obtains an AI entity that comprises an AI function that performs the first operation through the response in Figure 11.

[0679] As one embodiment, the first node obtains an AI function that performs the first operation through the response in Figure 11.

[0680] As one embodiment, the first producer provides the first operation to the first node through the response in Figure 11.

[0681] As one embodiment, the first producer provides a model of the first operation to the first node through the response in Figure 11.

[0682] As one embodiment, the first producer provides, to the first node, an AI entity that includes an AI function that performs the first operation, via the response in FIG. 11.

[0683] As one embodiment, the first producer provides, to the first node, an AI function that performs the first operation, via the response in FIG. 11.

[0684] As one embodiment, the deployment is done by an AI function.

[0685] As one embodiment, the deployment is done by an AI function deployed at the first node.

[0686] As one embodiment, the deployment is done by an AI deployment function.

[0687] As one embodiment, the deployment is done by an AI deployment function deployed at the first node.

[0688] As one embodiment, the deployment is done by an AI inference function.

[0689] As one embodiment, the deployment is done by an AI inference function deployed at the first node.

[0690] As one embodiment, the deployment is done by an AI entity.

[0691] As one embodiment, the deployment is done by an AI entity deployed at the first node.

[0692] As one embodiment, the deployment is done by an AI entity with a deployment function.

[0693] As one embodiment, the deployment is done by an AI entity with a deployment function deployed at the first node.

[0694] As one embodiment, the deployment is done by an AI entity with an inference function.

[0695] As one embodiment, the deployment is done by an AI entity with an inference function deployed at the first node.

[0696] As one embodiment, the deployment includes obtaining the first operation from a first producer.

[0697] As one embodiment, the deploying includes making a request to a first producer to load the first operation.

[0698] As one embodiment, the deploying includes loading the first operation from a first producer.

[0699] As one embodiment, the first producer generates and provides an AI model.

[0700] As one embodiment, the first producer generates and provides an AI entity.

[0701] As one embodiment, the first producer generates and provides an AI function.

[0702] As one embodiment, the first producer is a producer of the first operation.

[0703] As one embodiment, the first producer is a producer of training of the first operation.

[0704] As one embodiment, the first producer includes an AI entity producer.

[0705] As one embodiment, the first producer includes an AI function producer.

[0706] As one embodiment, the first producer includes an AI deployment producer.

[0707] As one embodiment, the first producer includes an AI load producer.

[0708] As one embodiment, the first producer includes an AI training producer.

[0709] As one embodiment, the first producer includes an AI inference producer.

[0710] As one embodiment, the first producer includes a producer of deployment of an AI entity.

[0711] As one embodiment, the first producer includes a producer of loading of an AI entity.

[0712] As one embodiment, the first producer includes a producer of training of an AI model.

[0713] As one embodiment, the first producer comprises a MnS (Management Service) producer.

[0714] As one embodiment, the first producer is a serving cell of the first node.

[0715] As one embodiment, the first producer is a maintaining base station of the serving cell of the first node.

[0716] As one embodiment, the first producer is a core network.

[0717] As one embodiment, the first producer is a transmitter of the first configuration information block.

[0718] As one embodiment, the first producer is different from the transmitter of the first configuration information block.

[0719] As one embodiment, the training of the first operation is performed by the first producer.

[0720] Embodiment 12

[0721] Embodiment 12 illustrates a schematic diagram of N first type of CSI depending on the output of a first operation according to one embodiment of the present application; as shown in FIG. 12.

[0722] As one embodiment, the N is configurable.

[0723] As one embodiment, the N is configured by higher layer signaling.

[0724] As one embodiment, the N is configured by RRC signaling.

[0725] As one embodiment, the N is configured by the first configuration information block.

[0726] As one embodiment, the N is configured to the first operation.

[0727] As one embodiment, the N is greater than 1.

[0728] As one embodiment, the N is equal to 1.

[0729] As one embodiment, the first type of CSI comprises at least one of CRI, SSBRI and RSRP.

[0730] As one embodiment, the first type of CSI comprises CRI.

[0731] As one embodiment, the first type of CSI comprises SSBRI.

[0732] As one embodiment, the first type of CSI includes RSRP.

[0733] As one embodiment, the first type of CSI includes CRI and RSRP.

[0734] As one embodiment, the first type of CSI includes SSBRI and RSRP.

[0735] As one embodiment, the first type of CSI includes at least one of predicted CRI, predicted SSBRI, and predicted RSRP.

[0736] As one embodiment, the first type of CSI includes predicted CRI.

[0737] As one embodiment, the first type of CSI includes predicted SSBRI.

[0738] As one embodiment, the first type of CSI includes predicted CRI and predicted RSRP.

[0739] As one embodiment, the first type of CSI includes predicted SSBRI and predicted RSRP.

[0740] As one embodiment, any of the N first types of CSI includes K1 RS resource identifications, the K1 being a positive integer.

[0741] As one embodiment, any of the N first types of CSI includes K1 RS resource identifications and includes K1 RSRPs.

[0742] As one subembodiment of the above embodiment, the K1 RSRPs are respectively RSRPs of RSs identified by the K1 RS resource identifications.

[0743] As one embodiment, at least one of the K1 RS resource identifications identifies an RS resource that does not belong to the M1 RS resources.

[0744] As one embodiment, any of the K1 RS resource identifications identifies an RS resource that does not belong to the M1 RS resources.

[0745] As one embodiment, at least one of the K1 RS resource identifications identifies an RS resource that belongs to the M2 RS resources.

[0746] As one embodiment, any of the K1 RS resource identifications identifies an RS resource that belongs to the M2 RS resources.

[0747] As one embodiment, the RS resource identity comprises a CRI.

[0748] As one embodiment, the RS resource identity comprises a SSBRI.

[0749] As one embodiment, the RS resource identity is a CRI or a SSBRI.

[0750] As one embodiment, the K1 is configurable.

[0751] As one embodiment, the K1 is configured by higher layer signaling.

[0752] As one embodiment, the K1 is configured by RRC signaling.

[0753] As one embodiment, the K1 is configured by the first configuration information block.

[0754] As one embodiment, the K1 is configured for the first operation.

[0755] As one embodiment, the K1 is greater than 1.

[0756] As one embodiment, the K1 is equal to 1.

[0757] As one embodiment, the output of the first operation comprises the N first type CSI.

[0758] As one embodiment, the N first type CSI is dependent on the output of the first operation means that the output of the first operation comprises the N first type CSI.

[0759] As one embodiment, the output of the first operation is quantized to obtain the N first type CSI.

[0760] As one embodiment, the N first type CSI comprises a CRI or a SSBRI included in the output of the first operation, and comprises a quantized RSRP included in the output of the first operation.

[0761] Embodiment 13

[0762] Embodiment 13 illustrates a schematic diagram of N first type CSI respectively for N time slot intervals according to one embodiment of the present application; as shown in FIG. 13. In FIG. 13, the N first type CSI are respectively denoted as first type CSI#0, …, first type CSI#(N-1); the N time slot intervals are respectively denoted as time slot interval#0, …, time slot interval#(N-1).

[0763] As one embodiment, the N first type CSI are respectively associated with the N time slot intervals.

[0764] As one embodiment, the N first type of CSI respectively are CSI in the N time slot intervals.

[0765] As one embodiment, the N first type of CSI respectively are predicted CSI in the N time slot intervals.

[0766] As one embodiment, the prediction comprises spatial prediction.

[0767] As one embodiment, the prediction comprises temporal prediction.

[0768] As one embodiment, the prediction comprises spatial prediction and temporal prediction.

[0769] As one embodiment, the N first type of CSI respectively comprise RS resource identification for the N time slot intervals.

[0770] As one embodiment, the N first type of CSI respectively comprise RS resource identification and RSRP for the N time slot intervals.

[0771] As one embodiment, the N first type of CSI respectively comprise predicted RS resource identification for the N time slot intervals.

[0772] As one embodiment, the N first type of CSI respectively comprise predicted RS resource identification and RSRP for the N time slot intervals.

[0773] As one embodiment, the N first type of CSI respectively indicate predicted beam for the N time slot intervals.

[0774] As one embodiment, the N first type of CSI respectively indicate predicted beam and RSRP for the N time slot intervals.

[0775] As one embodiment, the N time slot intervals are orthogonal to each other in pairs.

[0776] As one embodiment, any of the N time slot intervals comprises one or more consecutive time slots.

[0777] As one embodiment, any two of the N time slot intervals comprise equal number of time slots.

[0778] As one embodiment, each of the N time slot intervals comprises d time slots, and the d is configurable.

[0779] As one sub-embodiment of the above embodiment, the d is configured by higher layer signaling.

[0780] As one subembodiment of the above embodiment, the d is configured by the RRC signaling.

[0781] As one subembodiment of the above embodiment, the d is configured by the first configuration information block.

[0782] As one subembodiment of the above embodiment, the d is configured to the first operation.

[0783] As one embodiment, the N time slot intervals are consecutive in time domain.

[0784] As one embodiment, the earliest one of the N time slot intervals depends on a first set of transmission occasions, the first set of transmission occasions includes one transmission occasion of each of the M1 RS resources, the first set of transmission occasions is the latest transmission occasion of the M1 RS resources for obtaining channel measurement for computing the first reporting information.

[0785] As one embodiment, for any one of the M1 RS resources, the transmission occasion of this RS resource in the first set of transmission occasions is the latest transmission occasion of this RS resource for obtaining channel measurement for computing the first reporting information.

[0786] As one embodiment, the earliest one of the N time slot intervals depends on a slot to which an earliest one of the first set of transmission occasions belongs.

[0787] As one embodiment, the earliest one of the N time slot intervals depends on a slot to which a latest one of the first set of transmission occasions belongs.

[0788] As one embodiment, the earliest one of the N time slot intervals is slot (t1 + fourth offset), the fourth offset is an integer, the t1 depends on the first set of transmission occasions.

[0789] As one subembodiment of the above embodiment, a latest one of the first set of transmission occasions is in slot t1.

[0790] As one subembodiment of the above embodiment, an earliest one of the first set of transmission occasions is in slot t1.

[0791] As one embodiment, the earliest one of the N time slot intervals depends on a time domain resource of the first reporting information.

[0792] As one embodiment, the earliest one of the N time slot intervals is slot (n1 + fourth offset), the fourth offset is an integer, the first reporting information is transmitted in slot n1.

[0793] As one embodiment, the fourth offset is a positive integer.

[0794] As one embodiment, the fourth offset is equal to 0.

[0795] As one embodiment, the fourth offset is configurable.

[0796] As one embodiment, the fourth offset is configured by higher layer signaling.

[0797] As one embodiment, the fourth offset is configured by RRC signaling.

[0798] As one embodiment, the fourth offset is configured by the first configuration information block.

[0799] As one embodiment, the fourth offset is configured for the first operation.

[0800] As one embodiment, the earliest one of the N time intervals depends on a first reference time interval.

[0801] As one embodiment, the earliest one of the N time intervals is a first reference time interval.

[0802] As one embodiment, the j-th time interval of the N time intervals comprises slots (l+j·d), …, slots (l+(j+1)·d-1), where j = 0, …, N-1, the earliest one of the N time intervals is slot l, and d is a number of slots comprised by each time interval of the N time intervals.

[0803] As one embodiment, the first set of transmission occasions is a latest transmission occasion of the M1 RS resources no later than a first reference time interval.

[0804] As one embodiment, for any RS resource of the M1 RS resources, a transmission occasion of this RS resource in the first set of transmission occasions is a latest transmission occasion of this RS resource no later than a first reference time interval.

[0805] As one embodiment, the first set of transmission occasions is a latest transmission occasion of the M1 RS resources no later than the N sets of transmission occasions.

[0806] As one embodiment, for any RS resource of the M1 RS resources, a transmission occasion of this RS resource in the first set of transmission occasions is a latest transmission occasion of this RS resource no later than the N sets of transmission occasions.

[0807] As an embodiment, the first reference time slot refers to Embodiment 5.

[0808] Embodiment 14

[0809] Embodiment 14 illustrates a diagram of N groups of transmission occasions according to an embodiment of the present application; as shown in FIG. 14. In Embodiment 14, any one of the N groups of transmission occasions comprises one transmission occasion for each of the M2 RS resources. In FIG. 14, the N groups of transmission occasions are denoted as transmission occasion group #0, …, transmission occasion group #(N-1), respectively.

[0810] As an embodiment, any one of the N groups of transmission occasions consists of one transmission occasion for each of the M2 RS resources.

[0811] As an embodiment, the N groups of transmission occasions are N groups of the most recent transmission occasions of the M2 RS resources no later than a first reference time slot.

[0812] As an embodiment, for any one of the M2 RS resources, the N groups of transmission occasions respectively comprise N consecutive transmission occasions of this RS resource, the latest one of the N consecutive transmission occasions being the most recent one of this RS resource no later than a first reference time slot.

[0813] As an embodiment, the first reference time slot refers to Embodiment 5.

[0814] As an embodiment, the N groups of transmission occasions respectively belong to the N time slot intervals.

[0815] Embodiment 15

[0816] Embodiment 15 illustrates a diagram of N groups of transmission occasions according to an embodiment of the present application; as shown in FIG. 15. In Embodiment 15, the N groups of transmission occasions and N groups of RS resources are in one-to-one correspondence, any one of the N groups of RS resources comprises part of the M2 RS resources, any one of the N groups of transmission occasions comprises one transmission occasion for each RS resource in the corresponding group of RS resources; each of the N groups of RS resources comprises a number of RS resources equal to M3, the product of the N and the M3 is equal to the M2.

[0817] In FIG. 15, the N groups of transmission occasions are denoted as transmission occasion group #0, …, transmission occasion group #(N-1), respectively.

[0818] As an embodiment, any one of the N groups of transmission occasions consists of one transmission occasion of each RS resource in a corresponding group of RS resources.

[0819] As an embodiment, none of the M2 RS resources belongs to two of the N groups of RS resources.

[0820] As an embodiment, any one of the M2 RS resources belongs to one of the N groups of RS resources.

[0821] As an embodiment, any one of the N groups of RS resources is a CSI-RS resource set or a CSI SSB resource set.

[0822] As an embodiment, the N groups of RS resources are N CSI-RS resource sets or N CSI SSB resource sets respectively.

[0823] As a sub-embodiment of the above embodiment, a block of configuration information of any one of the N groups of RS resources indicates successively M3 RS resources included in this group of RS resources.

[0824] As a reference embodiment of the above sub-embodiment, the block of configuration information is NZP-CSI-RS-ResourceSet IE.

[0825] As a reference embodiment of the above sub-embodiment, the block of configuration information is CSI-SSB-ResourceSet IE.

[0826] As an embodiment, the first and second groups of RS resources are any two of the N groups of RS resources, the i-th RS resource in the first group of RS resources and the i-th RS resource in the second group of RS resources are quasi co-located, i being any positive integer not greater than M3.

[0827] As an embodiment, the first and second groups of RS resources are any two of the N groups of RS resources, the antenna ports with the same port index of the i-th RS resource in the first group of RS resources and the i-th RS resource in the second group of RS resources are identical, i being any positive integer not greater than M3.

[0828] As an embodiment, the first RS resource group and the second RS resource group are any two RS resource groups among the N RS resource groups, and the first node assumes that antenna ports with same port index of an i-th RS resource in the first RS resource group and an i-th RS resource in the second RS resource group are same, where i is any positive integer not larger than M3.

[0829] As an embodiment, the M2 RS resources comprise M3 RS resource sets, any RS resource set among the M3 RS resource sets comprises RS resources with a number equal to N, and any RS resource group among the N RS resource groups consists of one RS resource in each of the M3 RS resource sets.

[0830] As a sub-embodiment of the above-mentioned embodiment, the earliest one of the N RS resource groups consists of the first RS resource in each of the M3 RS resource sets, the second earliest one of the N RS resource groups consists of the second RS resource in each of the M3 RS resource sets, and so on.

[0831] As an embodiment, any RS resource set among the M3 RS resource sets is a CSI-RS resource set or a CSI SSB resource set.

[0832] As an embodiment, N RS resources in any RS resource set among the M3 RS resource sets have same antenna ports with same port index.

[0833] As an embodiment, for any RS resource set among the M3 RS resource sets, the first node assumes that N RS resources in this RS resource set have same antenna ports with same port index.

[0834] Embodiment 16

[0835] Embodiment 16 illustrates a diagram of N second type of CSI respectively depending on measurements for N groups of transmission occasions according to an embodiment of the present application; as shown in FIG. 16. In FIG. 16, the N second type of CSI are respectively denoted as second type of CSI #0, …, second type of CSI #(N-1), and the N groups of transmission occasions are respectively denoted as transmission occasion group #0, …, transmission occasion group #(N-1).

[0836] As an embodiment, the second type of CSI comprises at least one of CRI, SSBRI and RSRP.

[0837] As an embodiment, the second type of CSI comprises CRI.

[0838] As one embodiment, the second type of CSI includes SSBRI.

[0839] As one embodiment, the second type of CSI includes RSRP.

[0840] As one embodiment, the second type of CSI includes CRI and RSRP.

[0841] As one embodiment, the second type of CSI includes SSBRI and RSRP.

[0842] As one embodiment, the second type of CSI includes at least one of real CRI, real SSBRI and real RSRP.

[0843] As one embodiment, the real is referring to measured.

[0844] As one embodiment, the real is referring to non-predicted.

[0845] As one embodiment, the second type of CSI includes strongest CRI or strongest SSBRI.

[0846] As one embodiment, the second type of CSI includes at least one of strongest CRI, strongest SSBRI and strongest RSRP.

[0847] As one embodiment, the first type of CSI includes at least one of predicted CRI, predicted SSBRI and predicted RSRP, and the second type of CSI includes at least one of strongest CRI, strongest SSBRI and strongest RSRP.

[0848] As one embodiment, the first type of CSI includes predicted CRI or predicted SSBRI, and the second type of CSI includes strongest CRI or strongest SSBRI.

[0849] As one embodiment, the first type of CSI includes predicted CRI and predicted RSRP, and the second type of CSI includes strongest CRI and strongest RSRP.

[0850] As one embodiment, the first type of CSI includes predicted SSBRI and predicted RSRP, and the second type of CSI includes strongest SSBRI and strongest RSRP.

[0851] As one embodiment, the first type of CSI includes predicted beam, and the second type of CSI includes strongest beam.

[0852] As an embodiment, the first type of CSI comprises predicted beam and predicted RSRP, and the second type of CSI comprises strongest beam and strongest RSRP.

[0853] As an embodiment, the N second type of CSI respectively comprises CRI or SSBRI obtained based on the N groups of transmission occasions.

[0854] As an embodiment, the N second type of CSI respectively comprises CRI and RSRP obtained based on the N groups of transmission occasions.

[0855] As an embodiment, the N second type of CSI respectively comprises SSBRI and RSRP obtained based on the N groups of transmission occasions.

[0856] As an embodiment, any of the N second type of CSI comprises K2 RS resource identifications, and K2 is a positive integer.

[0857] As an embodiment, any of the N second type of CSI comprises K2 RS resource identifications, and K2 is a positive integer.

[0858] As a sub-embodiment of the above embodiment, the K2 RSRP respectively is RSRP of RS resource identified by the K2 RS resource identifications.

[0859] As an embodiment, RS resource identified by any of the K2 RS resource identifications is one of the M2 RS resources.

[0860] As an embodiment, the K2 is configurable.

[0861] As an embodiment, the K2 is configured by higher layer signaling.

[0862] As an embodiment, the K2 is configured by RRC signaling.

[0863] As an embodiment, the K2 is configured by the first configuration information block.

[0864] As an embodiment, the K2 is equal to 1.

[0865] As an embodiment, the K2 is greater than 1.

[0866] As an embodiment, the K2 is less than the M2.

[0867] As an embodiment, the K2 is less than the M3.

[0868] As an embodiment, any of the N groups of transmission occasions comprises one transmission occasion for each of the M2 RS resources, the K2 RS resource identities are respectively the CRI or SSBRI of the K2 highest RSRP RS resources among the M2 RS resources.

[0869] As an embodiment, any of the N groups of transmission occasions comprises one transmission occasion for each of the RS resources in one of the N groups of RS resources, the K2 RS resource identities are respectively the CRI or SSBRI of the K2 highest RSRP RS resources in the corresponding group of RS resources.

[0870] As an embodiment, any of the N second types of CSI comprises K3 RSRP, the K3 is a positive integer.

[0871] As an embodiment, any of the N second types of CSI comprises K3 RSRP and one RS resource identity, the K3 is a positive integer.

[0872] As an embodiment, the K3 is equal to the M2, the K3 RSRP are respectively the RSRP of the M2 RS resources.

[0873] As an embodiment, the K3 is equal to the M3, the K3 RSRP are respectively the RSRP of the M3 RS resources comprised in the corresponding group of RS resources.

[0874] As an embodiment, the one RS resource identity is the CRI or SSBRI of the RS resource corresponding to the largest RSRP among the K3 RSRP.

[0875] As an embodiment, the K3 is configurable.

[0876] As an embodiment, the K3 is configured by higher layer signaling.

[0877] As an embodiment, the K3 is configured by RRC signaling.

[0878] As an embodiment, the K3 is configured by the first configuration information block.

[0879] As an embodiment, the K3 is equal to the M2.

[0880] As an embodiment, the K3 is equal to the M3.

[0881] Embodiment 17

[0882] Embodiment 17 illustrates a diagram of N first type CSI and N second type CSI according to an embodiment of the present application; as shown in FIG. 17. In Embodiment 17, the N first type CSI and the N second type CSI are one-to-one correspondence, given first type CSI is any first type CSI in the N first type CSI, given second type CSI is the second type CSI in the N second type CSI corresponding to the given first type CSI, the given first type CSI includes K1 RS resource identifications, the given second type CSI includes K2 RS resource identifications, the K1 and the K2 are positive integers respectively. In FIG. 17, the N first type CSI are denoted as first type CSI#0, …, first type CSI#(N-1) respectively; the N second type CSI are denoted as second type CSI#0, …, second type CSI#(N-1) respectively.

[0883] As an embodiment, the K1 is equal to the K2.

[0884] As an embodiment, the K1 is greater than the K2.

[0885] As an embodiment, the K1 is less than the K2.

[0886] As an embodiment, the K2 is greater than 1, and the K1 is equal to 1.

[0887] As an embodiment, the K2 is equal to 1, and the K1 is greater than 1.

[0888] As an embodiment, the K2 is equal to 1, and the K1 is equal to 1.

[0889] As an embodiment, the RS resource identification includes CRI or SSBRI.

[0890] As an embodiment, any second type CSI in the N second type CSI corresponds to a set of transmission occasions in time domain belonging to a time slot interval targeted by the corresponding first type CSI.

[0891] As an embodiment, the given first type CSI corresponds to a given time slot interval, the K1 RS resource identifications are RS resource identifications predicted for the given time slot interval, and the K2 RS resource identifications are strongest RS resource identifications for the given time slot interval.

[0892] As a sub-embodiment of the above embodiment, the K1 RS resource identifications indicate K1 predicted beams for the given time slot interval.

[0893] As a sub-embodiment of the above embodiment, the K2 RS resource identifications are RS resource identifications obtained based on measurements of RS transmitted in the given time slot interval.

[0894] As one sub-embodiment of the above embodiment, the K2 RS resource identities are indicative of K2 strongest beams for the given time interval.

[0895] As one embodiment, the first reporting information comprises the K1 RS resource identities and the K2 RS resource identities.

[0896] As one embodiment, the first reporting information is dependent on the K1 RS resource identities and the K2 RS resource identities.

[0897] As one embodiment, the first reporting information comprises a first performance metric, the first performance metric being dependent on the K1 RS resource identities and the K2 RS resource identities.

[0898] As one embodiment, the first performance metric is dependent on whether there is a same RS resource identity between the K1 RS resource identities and the K2 RS resource identities.

[0899] As one embodiment, the first performance metric is dependent on how many same RS resource identities there are between the K1 RS resource identities and the K2 RS resource identities.

[0900] As one embodiment, the K1 is equal to 1, the K2 is equal to 1, and the first performance metric is dependent on whether the K1 RS resource identity is the same as the K2 RS resource identity.

[0901] As one sub-embodiment of the above embodiment, the first performance metric is dependent on a percentage of the K1 RS resource identities being the same as the K2 RS resource identities.

[0902] As one embodiment, the K1 is greater than 1, the K2 is equal to 1, and the first performance metric is dependent on whether the K1 RS resource identities include the K2 RS resource identities.

[0903] As one sub-embodiment of the above embodiment, the first performance metric is dependent on a percentage of the K1 RS resource identities including the K2 RS resource identities.

[0904] As one embodiment, the K1 is equal to 1, the K2 is greater than 1, and the first performance metric is dependent on whether the K2 RS resource identities include the K1 RS resource identities.

[0905] As one sub-embodiment of the above embodiment, the first performance metric is dependent on a percentage of the K2 RS resource identities including the K1 RS resource identities.

[0906] As one embodiment, the first performance metric depends on whether there is a RS resource with the same quasi co-location relationship between the RS resource indicated by the K1 RS resource identities and the RS resource indicated by the K2 RS resource identities.

[0907] As one embodiment, the K1 is equal to 1, the K2 is equal to 1, and the first performance metric depends on whether the RS resource indicated by the K1 RS resource identities is quasi co-located with the RS resource indicated by the K2 RS resource identities.

[0908] As one sub-embodiment of the above embodiment, the first performance metric depends on a percentage of the RS resource indicated by the K1 RS resource identities being quasi co-located with the RS resource indicated by the K2 RS resource identities.

[0909] As one embodiment, the K1 is greater than 1, the K2 is equal to 1, and the first performance metric depends on whether the K1 RS resource identities include a RS resource that is quasi co-located with the RS resource indicated by the K2 RS resource identities.

[0910] As one sub-embodiment of the above embodiment, the first performance metric depends on a percentage of the K1 RS resource identities including a RS resource that is quasi co-located with the RS resource indicated by the K2 RS resource identities.

[0911] As one embodiment, the K1 is equal to 1, the K2 is greater than 1, and the first performance metric depends on whether the K2 RS resource identities include a RS resource that is quasi co-located with the RS resource indicated by the K1 RS resource identities.

[0912] As one sub-embodiment of the above embodiment, the first performance metric depends on a percentage of the K2 RS resource identities including a RS resource that is quasi co-located with the RS resource indicated by the K1 RS resource identities.

[0913] As one embodiment, the quasi co-location above refers to a quasi co-location of typeD.

[0914] As one embodiment, the given first type of CSI includes K1 RSRPs, and the given second type of CSI includes K2 RSRPs.

[0915] As one embodiment, the first reporting information includes the K1 RSRPs and the K2 RSRPs.

[0916] As one embodiment, the first reporting information includes a first performance metric, and the first performance metric depends on the K1 RSRPs and the K2 RSRPs.

[0917] As one sub-example of the above embodiment, the K1 is equal to 1, the K2 is equal to 1, and the first performance metric comprises an average or CDF of the difference between the K1 RSRPs and the K2 RSRPs.

[0918] As one sub-example of the above embodiment, the K1 is equal to 1, the K2 is equal to 1, and the first performance metric comprises a percentage of the difference between the K1 RSRPs and the K2 RSRPs not exceeding x dB.

[0919] As one sub-example of the above embodiment, the K1 is greater than 1, the K2 is equal to 1, and the first performance metric comprises a percentage of the difference between the largest of the K1 RSRPs and the K2 RSRPs not exceeding x dB.

[0920] Embodiment 18

[0921] Embodiment 18 illustrates a diagram of a first identification according to one embodiment of the present application; as shown in FIG. 18. In embodiment 18, the first configuration information block indicates a first identification, and the first operation is associated to the first identification.

[0922] As one embodiment, the first identification is a non-negative integer.

[0923] As one embodiment, the first identification is a string.

[0924] As one embodiment, the first operation is identified by the first identification.

[0925] As one embodiment, an AI entity to which the first operation belongs is identified by the first identification.

[0926] As one embodiment, an AI function to which the first operation belongs is identified by the first identification.

[0927] As one embodiment, an AI function or AI entity that performs the first operation is identified by the first identification.

[0928] As one embodiment, the above method has the benefit of simplifying the design and unifying the understanding of different AI entities or AI functions among different nodes.

[0929] As one embodiment, a training of the first operation is identified by the first identification.

[0930] As one embodiment, a dataset of the training of the first operation is identified by the first identification.

[0931] As an embodiment, benefits of the above method include, by identifying an AI training or an AI training dataset to identify the inference generated by the AI training or the AI training dataset, consensus is established between different AI functions, and the design is further simplified.

[0932] As an embodiment, the first configuration information block indicates the first operation by indicating the first identity.

[0933] Embodiment 19

[0934] Embodiment 19 illustrates a diagram of whether there is an RS resource in M1 RS resources and an RS resource in M2 RS resources has the same quasi-co-location relationship, and the capability of the first node according to an embodiment of the present application; as shown in FIG. 19.

[0935] As an embodiment, the capability of the first node includes UE capability.

[0936] As an embodiment, the capability of the first node includes UE processing capability.

[0937] As an embodiment, the capability of the first node includes UE capability indication.

[0938] As an embodiment, the capability of the first node includes UE processing time capability.

[0939] As an embodiment, whether there is an RS resource in M1 RS resources and an RS resource in M2 RS resources has the same quasi-co-location relationship is related to the UE capability report of the first node.

[0940] As an embodiment, whether there is an RS resource in M1 RS resources and an RS resource in M2 RS resources has the same quasi-co-location relationship depends on the capability of the first node.

[0941] As an embodiment, whether there is an RS resource in M1 RS resources and an RS resource in M2 RS resources has the same quasi-co-location relationship depends on the UE capability report of the first node.

[0942] As an embodiment, the first node reports a first capability value and there is at least one RS resource in the M1 RS resources and an RS resource in the M2 RS resources having the same quasi co-location relationship; or the first node does not report the first capability value and there is no RS resource in the M1 RS resources and an RS resource in the M2 RS resources having the same quasi co-location relationship.

[0943] As an embodiment, the first capability value includes a field in a UE capability IE.

[0944] As an embodiment, the first node reports a second capability value and there is at least one RS resource in the M1 RS resources and an RS resource in the M2 RS resources having the same quasi co-location relationship; or the first node reports a third capability value and there is no RS resource in the M1 RS resources and an RS resource in the M2 RS resources having the same quasi co-location relationship.

[0945] As an embodiment, the second capability value and the third capability value are two candidate values of a same field in a UE capability IE.

[0946] As an embodiment, the quasi co-location relationship refers to a Quasi Co-Location relationship.

[0947] As an embodiment, two RS resources having the same quasi co-location relationship includes that one of the two RS resources is quasi co-located with the other of the two RS resources.

[0948] As an embodiment, two RS resources having the same quasi co-location relationship includes that one of the two RS resources is quasi co-located with the other of the two RS resources and corresponding quasi co-location types include typeD.

[0949] As an embodiment, two RS resources having the same quasi co-location relationship includes that the two RS resources are quasi co-located with a same RS resource.

[0950] As an embodiment, two RS resources having the same quasi co-location relationship includes that the two RS resources are quasi co-located with a same RS resource and corresponding quasi co-location types both include typeD.

[0951] As an embodiment, the two RS resources having the same quasi co-location relationship comprises: one of the two RS resources and a first given RS resource are quasi co-located, another of the two RS resources and a second given RS resource are quasi co-located; the first given RS resource and the second given RS resource are quasi co-located, or, the first given RS resource and the second given RS resource are quasi co-located with a same RS resource.

[0952] As an embodiment, whether the M1 RS resources and the M2 RS resources comprise a same RS resource is related to a capability of the first node.

[0953] As an embodiment, whether the M1 RS resources and the M2 RS resources comprise a same RS resource is related to a UE capability report of the first node.

[0954] As an embodiment, whether the M1 RS resources and the M2 RS resources comprise a same RS resource depends on the capability of the first node.

[0955] As an embodiment, whether the M1 RS resources and the M2 RS resources comprise a same RS resource depends on a UE capability report of the first node.

[0956] As an embodiment, the first node reports a first capability value and at least one of the M1 RS resources is a RS resource of the M2 RS resources; or, the first node does not report the first capability value and the M1 RS resources and the M2 RS resources do not comprise a same RS resource.

[0957] As an embodiment, the first node reports a second capability value and at least one of the M1 RS resources is a RS resource of the M2 RS resources; or, the first node reports a third capability value and the M1 RS resources and the M2 RS resources do not comprise a same RS resource.

[0958] As an embodiment, the M1 RS resources are a subset of the M2 RS resources, or, the M1 RS resources and the M2 RS resources do not comprise a same RS resource.

[0959] As an embodiment, the first node reports a first capability value and the M1 RS resources are a subset of the M2 RS resources; or, the first node does not report the first capability value and the M1 RS resources and the M2 RS resources do not comprise a same RS resource.

[0960] As an embodiment, the first node reports a second capability value and the M1 RS resources are a subset of the M2 RS resources; or, the first node reports a third capability value and the M1 RS resources and the M2 RS resources do not include a same RS resource.

[0961] As an embodiment, the M1 RS resources and the M2 RS resources do not include a same RS resource means that any RS resource in the M1 RS resources is not a RS resource in the M2 RS resources, and any RS resource in the M2 RS resources is not a RS resource in the M1 RS resources.

[0962] Embodiment 20

[0963] Embodiment 20 illustrates a schematic diagram of a first signaling triggering a first reporting information according to an embodiment of the present application; as shown in FIG. 20.

[0964] As an embodiment, the first signaling includes DCI (Downlink Control Information).

[0965] As an embodiment, the first signaling is DCI.

[0966] As an embodiment, the first signaling is DCI for scheduling PUSCH.

[0967] As an embodiment, the first signaling is DCI format 0_1 or DCI format 0_2.

[0968] As an embodiment, the first signaling is DCI format 0_1, DCI format 0_2 or DCI format 0_3.

[0969] As an embodiment, the first signaling triggers reporting of the first reporting information.

[0970] As an embodiment, the first signaling triggers the first node to report the first reporting information.

[0971] As an embodiment, the first signaling triggers one reporting of the first reporting.

[0972] As an embodiment, the first signaling triggers one reporting for the first configuration information block.

[0973] As an embodiment, the first signaling triggers transmission of the M1 RS resources.

[0974] As one embodiment, the first signaling triggers one transmission of the M1 RS resources.

[0975] As one embodiment, the first signaling triggers one transmission of each of the M1 RS resources.

[0976] As one embodiment, the first signaling triggers one transmission occasion of the M1 RS resources.

[0977] As one embodiment, the first signaling triggers one transmission occasion of each of the M1 RS resources.

[0978] As one embodiment, the first signaling triggers the first set of transmission occasions.

[0979] As one embodiment, the first signaling triggers transmission of the M2 RS resources.

[0980] As one embodiment, the first signaling triggers N transmissions of the M2 RS resources.

[0981] As one embodiment, the first signaling triggers N transmissions of each of the M2 RS resources.

[0982] As one embodiment, the first signaling triggers N transmission occasions of each of the M2 RS resources.

[0983] As one embodiment, the first signaling triggers one transmission of each of the M2 RS resources.

[0984] As one embodiment, the first signaling triggers one transmission occasion of each of the M2 RS resources.

[0985] As one embodiment, the first signaling triggers the N sets of transmission occasions.

[0986] As one embodiment, the M1 RS resources are periodic or quasi-static, the M2 RS resources are aperiodic, and the first signaling triggers the N sets of transmission occasions.

[0987] As one embodiment, benefits of the above method include flexible indication of time-domain resources of transmission occasions of the M2 RS resources, better matching of relationships between the transmission occasions and time slots targeted by the first operation.

[0988] As one embodiment, benefits of the above method include reduced RS overhead related to performance monitoring.

[0989] As an embodiment, benefits of the above method include allowing AI performance monitoring and AI inference to share RS resources, reducing overhead.

[0990] Embodiment 21

[0991] Embodiment 21 illustrates a diagram of a first reporting according to an embodiment of the application; as shown in FIG. 21. In embodiment 21, the first reporting is periodic or quasi-static, and the N groups of transmission occasions are within a same period of the first reporting. In FIG. 21, the N groups of transmission occasions are denoted as transmission occasion group #0, …, transmission occasion group #(N-1), respectively.

[0992] As an embodiment, the first reporting is periodic or quasi-static, and the N groups of transmission occasions and a first set of transmission occasions are within a same period of the first reporting, the first set of transmission occasions including one transmission occasion for each of the M1 RS resources.

[0993] As an embodiment, the first reporting is periodic or quasi-static, and the N groups of transmission occasions are within one period of the first reporting, and a first set of transmission occasions is within another period of the first reporting, the first set of transmission occasions including one transmission occasion for each of the M1 RS resources.

[0994] As a sub-embodiment of the above embodiment, the one period and the another period are two adjacent periods.

[0995] As an embodiment, the first set of transmission occasions includes a most recent transmission occasion for channel measurement of the first reporting information for each of the M1 RS resources.

[0996] Embodiment 22

[0997] Embodiment 22 illustrates a diagram of a first reporting according to an embodiment of the application; as shown in FIG. 22. In embodiment 22, the first reporting is aperiodic, and the first signaling triggers the N groups of transmission occasions.

[0998] As an embodiment, the first signaling triggers transmission of the M2 RS resources in the N groups of transmission occasions.

[0999] As an embodiment, for any one of the M2 RS resources, the first signaling triggers transmission of this RS resource in N transmission occasions, the N transmission occasions belonging to the N groups of transmission occasions, respectively.

[1000] As an embodiment, the first signaling triggers a first set of transmission occasions for the M1 RS resources.

[1001] As an embodiment, for any RS resource of the M1 RS resources, the first signaling triggers transmission of this RS resource in one transmission occasion, which belongs to the first set of transmission occasions.

[1002] As an embodiment, for any RS resource of the M1 RS resources, the first node obtains the updated channel measurement for the first reporting only based on transmission occasions of this RS resource no later than the first set of transmission occasions, including the transmission occasion of this RS resource in the first set of transmission occasions.

[1003] As an embodiment, the first set of transmission occasions is earlier than the N sets of transmission occasions.

[1004] As an embodiment, the first set of transmission occasions consists of one transmission occasion for each RS resource of the M1 RS resources.

[1005] Embodiment 23

[1006] Embodiment 23 illustrates a diagram of a first reporting occupying P1 processing units from a first symbol and P2 processing units from a second symbol according to an embodiment of the present application; as shown in FIG. 23.

[1007] As an embodiment, the P1 and the first operation are related.

[1008] As an embodiment, the P1 depends on the first operation.

[1009] As an embodiment, the P1 depends on the N.

[1010] As an embodiment, when the N equals x1, the P1 equals y1; when the N equals x2, the P1 equals y2; the x1 is less than the x2, and the y1 is no more than the y1.

[1011] As an embodiment, the P1 depends on the M1.

[1012] As an embodiment, when the M1 equals x1, the P1 equals y1; when the M1 equals x2, the P1 equals y2; the x1 is less than the x2, and the y1 is no more than the y1.

[1013] As an embodiment, whether the P1 depends on the N or the M1.

[1014] As one embodiment, if the M1 is greater than a threshold, the P1 depends on the N; if the M1 is less than the threshold, the P1 does not depend on the N.

[1015] As one embodiment, when the M1 is less than a first threshold, the P1 is equal to a first integer; when the M1 is not less than the first threshold, the P1 is equal to a second integer; the first integer is not equal to the second integer.

[1016] As one embodiment, when the N is less than a first threshold, the P1 is equal to a first integer; when the N is not less than the first threshold, the P1 is equal to a second integer; the first integer is not equal to the second integer.

[1017] As one embodiment, when the M1 is less than a first threshold, the P1 is linearly related to the M1; when the M1 is not less than the first threshold, the P1 is equal to a second integer.

[1018] As one embodiment, when the M1 is less than a first threshold, the P1 is linearly related to the N; when the M1 is not less than the first threshold, the P1 is equal to a second integer.

[1019] As one embodiment, the first integer is fixed.

[1020] As one embodiment, the first integer is configurable.

[1021] As one embodiment, the first integer depends on a capability of the first node.

[1022] As one embodiment, the first integer is reported by the first node through UE capability.

[1023] As one embodiment, the second integer is fixed.

[1024] As one embodiment, the second integer is configurable.

[1025] As one embodiment, the second integer depends on a capability of the first node.

[1026] As one embodiment, the second integer is reported by the first node through UE capability.

[1027] As one embodiment, the first threshold is fixed.

[1028] As one embodiment, the first threshold is configurable.

[1029] As one embodiment, the first threshold depends on the first operation.

[1030] As one embodiment, the P1 depends on a product of the N and a first coefficient.

[1031] As one embodiment, the P1 and the product of the N and the first coefficient are linearly related after rounding.

[1032] As one embodiment, the P1 depends on a product of the M1 and a first coefficient.

[1033] As one embodiment, the P1 and the product of the M1 and the first coefficient are linearly related after rounding.

[1034] As one embodiment, the first coefficient is a positive real number.

[1035] As one embodiment, the first coefficient is less than 1.

[1036] As one embodiment, the first coefficient is equal to 1.

[1037] As one embodiment, the first coefficient is greater than 1.

[1038] As one embodiment, the first coefficient is fixed.

[1039] As one embodiment, the first coefficient is fixed to 1.

[1040] As one embodiment, the first coefficient is configurable.

[1041] As one embodiment, the first coefficient depends on a capability of the first node.

[1042] As one embodiment, the first coefficient is reported by the first node.

[1043] As one embodiment, the first coefficient is reported by the first node through UE capability.

[1044] As one embodiment, the first coefficient is reported by the first node through UE capability indication.

[1045] As one embodiment, the first coefficient is related to the first operation.

[1046] As one embodiment, the first coefficient depends on the first operation.

[1047] As one embodiment, the first coefficient is configured for the first operation.

[1048] As one embodiment, the benefits of the above method include that the occupancy of processing units is more matched to AI inference or training based operations, further improving the utilization of processing units.

[1049] As one embodiment, the first coefficient is indicated to the first operation.

[1050] As one embodiment, the first coefficient is dedicated to the first operation.

[1051] As one embodiment, the first coefficient is used for the determination of the number of processing units related to the first operation.

[1052] As one embodiment, the first coefficient is independent of the first operation.

[1053] As one embodiment, the benefits of the above method include that the design is simplified and the signaling overhead is reduced.

[1054] As one embodiment, the benefits of the above method include good backward compatibility.

[1055] As one embodiment, the P1 depends on a first component, the first component being related to the first operation.

[1056] As one embodiment, the first coefficient is indicated to the first node by a sender of the first configuration information block.

[1057] As one embodiment, the P2 depends on the N.

[1058] As one embodiment, when the N is equal to x3, the P2 is equal to y3; when the N is equal to x4, the P2 is equal to y4; the x3 is less than the x4, and the y3 is not greater than the y4.

[1059] As one embodiment, the P2 depends on the M2.

[1060] As one embodiment, when the M2 is equal to x3, the P2 is equal to y3; when the M2 is equal to x4, the P2 is equal to y4; the x3 is less than the x4, and the y3 is not greater than the y4.

[1061] As one embodiment, the P2 depends on the N or the M2.

[1062] As one embodiment, if the M2 is greater than a threshold value, the P2 depends on the N; if the M2 is less than the threshold value, the P2 does not depend on the N.

[1063] As one embodiment, when the M2 is less than a second threshold, the P2 is equal to a third integer; when the M2 is not less than the second threshold, the P2 is equal to a fourth integer; the third integer is not equal to the fourth integer.

[1064] As one embodiment, when the N is less than a second threshold, the P2 is equal to a third integer; when the N is not less than the second threshold, the P2 is equal to a fourth integer; the third integer is not equal to the fourth integer.

[1065] As one embodiment, when the M2 is less than a second threshold, the P2 is linearly related to the M2; when the M2 is not less than the second threshold, the P2 is equal to a fourth integer.

[1066] As one embodiment, when the M2 is less than a second threshold, the P2 is linearly related to the N; when the M2 is not less than the second threshold, the P2 is equal to a fourth integer.

[1067] As one embodiment, the third integer is fixed.

[1068] As one embodiment, the third integer is configurable.

[1069] As one embodiment, the third integer depends on the capability of the first node.

[1070] As one embodiment, the third integer is reported by the first node through UE capability.

[1071] As one embodiment, the fourth integer is fixed.

[1072] As one embodiment, the fourth integer is configurable.

[1073] As one embodiment, the fourth integer depends on the capability of the first node.

[1074] As one embodiment, the fourth integer is reported by the first node through UE capability.

[1075] As one embodiment, the second threshold is fixed.

[1076] As one embodiment, the second threshold is configurable.

[1077] As one embodiment, the P2 depends on the product of the N and a second coefficient.

[1078] As one embodiment, the P2 is linearly related to the product of the N and a second coefficient after rounding.

[1079] As one embodiment, the P2 depends on a product of the M2 and a second coefficient.

[1080] As one embodiment, a product of the P2 and the M2 and a second coefficient is linearly related to an integer value.

[1081] As one embodiment, the second coefficient is a positive real number.

[1082] As one embodiment, the second coefficient is less than 1.

[1083] As one embodiment, the second coefficient is equal to 1.

[1084] As one embodiment, the second coefficient is greater than 1.

[1085] As one embodiment, the second coefficient is fixed.

[1086] As one embodiment, the second coefficient is fixed to 1.

[1087] As one embodiment, the second coefficient is configurable.

[1088] As one embodiment, the second coefficient depends on a capability of the first node.

[1089] As one embodiment, the second coefficient is reported by the first node.

[1090] As one embodiment, the second coefficient is reported by the first node through UE capability.

[1091] As one embodiment, the second coefficient is reported by the first node through UE capability indication.

[1092] As one embodiment, the second coefficient does not depend on the first operation.

[1093] As one embodiment, the second coefficient is indicated to the first node by a sender of the first configuration information block.

[1094] As one embodiment, one of the first coefficient and the second coefficient is reported by the first node and the other is indicated by a sender of the first configuration information block.

[1095] As one embodiment, the first coefficient is reported by the first node and the second coefficient is indicated by a sender of the first configuration information block.

[1096] As an embodiment, the first coefficient is indicated by a sender of the first configuration information block, and the second coefficient is reported by the first node.

[1097] As an embodiment, one of the first coefficient and the second coefficient is reported by the first node, and the other is fixed.

[1098] As an embodiment, the first coefficient is reported by the first node, and the second coefficient is fixed.

[1099] As an embodiment, only the first coefficient of the first coefficient and the second coefficient depends on the first operation.

[1100] As an embodiment, the first coefficient is specific to the first operation, and the second coefficient is not specific to the first operation.

[1101] As an embodiment, only the first coefficient of the first coefficient and the second coefficient is specific to the first operation.

[1102] As an embodiment, the first coefficient depends on the first operation, and the second coefficient does not depend on the first operation.

[1103] As an embodiment, the benefits of the above method include optimizing the processing unit occupancy of the first operation and other CSI processing, respectively.

[1104] As an embodiment, the P1 depends on the first operation, and the P2 does not depend on the first operation.

[1105] As an embodiment, the benefits of the above method include optimizing the processing unit occupancy of the first operation including AI inference or training-based and other processing unit occupancy, and optimizing system performance.

[1106] As an embodiment, the P1 is equal to the first component, and the P2 is fixed to 1.

[1107] As an embodiment, the P1 is equal to the first component plus 1, and the P2 is fixed to 1.

[1108] As an embodiment, the benefits of the above method include optimizing the requirement of the first operation on processing unit occupancy.

[1109] As an embodiment, the benefits of the above method include reducing air interface overhead and good backward compatibility.

[1110] As an embodiment, the P1 depends on the M1, and the P2 depends on the M2.

[1111] As one embodiment, benefits of the above method include satisfying the requirements of processing unit occupation for the first operation and other CSI processing in different resource quantities simultaneously.

[1112] As one embodiment, both the P1 and the P2 depend on the N.

[1113] As one embodiment, the P1 depends on the M1 or the N, and the P2 equals 1.

[1114] As one embodiment, the P1 depends on the M1 or the N, and the P2 depends on the M2 or the N.

[1115] As one embodiment, benefits of the above method include satisfying the requirements of processing unit occupation for the first operation and other CSI processing in different slot interval quantities respectively.

[1116] As one embodiment, benefits of the above method include better flexibility, which optimizes the occupation of processing units fully.

[1117] As one embodiment, the P1 depends on the N and the P2 is fixed as 1, or the P1 is fixed as 1 and the P2 depends on the N.

[1118] As one embodiment, benefits of the above method include a better balance between processing unit utilization and implementation complexity.

[1119] As one embodiment, benefits of the above method include reducing air interface overhead.

[1120] As one embodiment, the P1 depends on the M1, and the P2 depends on the N.

[1121] As one embodiment, the P1 depends on the N, and the P2 depends on the M2.

[1122] As one embodiment, benefits of the above method include satisfying different requirements of processing unit occupation for the first operation and other CSI respectively.

[1123] As one embodiment, the P1 depending on the M1 or the N includes that the P1 equals the M1 or the N.

[1124] As one embodiment, the P2 depending on the M2 or the N includes that the P2 equals the M1 or the N.

[1125] As one embodiment, the P1 equals the product of the N and a first coefficient rounded.

[1126] As one embodiment, the P1 is equal to a product of the M1 and a first coefficient rounded.

[1127] As one embodiment, if the result of any of the above products is an integer, the corresponding rounding is ignored.

[1128] Embodiment 24

[1129] Embodiment 24 illustrates a diagram of P1 depending on a first component according to one embodiment of the present application; as shown in FIG. 24. In embodiment 24, the first component is related to the first operation.

[1130] As one embodiment, the first component is a positive integer.

[1131] As one embodiment, the first component is related to a capability of the first node.

[1132] As one embodiment, the first component depends on the capability of the first node.

[1133] As one embodiment, the first component is reported by the first node.

[1134] As one embodiment, the first component is reported by the first node through UE capability.

[1135] As one embodiment, the first component is reported by the first node through UE capability indication.

[1136] As one embodiment, the first component depends on the first operation.

[1137] As one embodiment, the first node reports a first identity along with the reporting of the first component, the first operation being associated to the first identity.

[1138] As one embodiment, the first component indicates a number of processing units required by the first operation.

[1139] As one embodiment, the first component indicates a number of processing units required by the first node to perform the first operation.

[1140] As one embodiment, the first component is a number of processing units required by the first operation.

[1141] As one embodiment, the first component is a number of processing units required by the first node to perform the first operation.

[1142] As one embodiment, the first node indicates the first coefficient and the first component.

[1143] As an embodiment, the first coefficient and the first component are indicated respectively.

[1144] As an embodiment, the first coefficient and the first component are indicated respectively by different UE capability IEs.

[1145] As an embodiment, the first coefficient and the first component are indicated respectively by different domains of one UE capability IE.

[1146] As an embodiment, the first node indicates the first coefficient, the second coefficient and the first component.

[1147] As an embodiment, the first coefficient, the second coefficient and the first component are indicated respectively.

[1148] As an embodiment, the P1 and the first component are linearly related, and the linear coefficient between the P1 and the first component is equal to 1.

[1149] As an embodiment, the P1 is equal to the first component.

[1150] As an embodiment, the P1 is equal to the first component plus 1.

[1151] As an embodiment, the P1 is equal to the first component plus the product of the N and the first coefficient.

[1152] As an embodiment, the P1 is equal to the first component plus the product of the M1 and the first coefficient.

[1153] As an embodiment, when the M1 is less than a first threshold, the P1 is equal to a first integer plus the first component; when the M1 is not less than the first threshold, the P1 is equal to a second integer plus the first component; the first integer is not equal to the second integer.

[1154] As an embodiment, when the N is less than a first threshold, the P1 is equal to a first integer plus the first component; when the N is not less than the first threshold, the P1 is equal to a second integer plus the first component; the first integer is not equal to the second integer.

[1155] As an embodiment, when the M1 is less than a first threshold, the P1 and the M1 are linearly related; when the M1 is not less than the first threshold, the P1 is equal to a second integer plus the first component.

[1156] As an embodiment, when the Ml is less than a first threshold, the P1 is linearly related to the N; when the Ml is not less than the first threshold, the P1 is equal to a second integer plus the first component.

[1157] As an embodiment, the rounding off of the result of any of the above products is ignored if the result is an integer.

[1158] Embodiments of the first and second coefficients are described with reference to embodiment 23.

[1159] Embodiments of the first and second integers are described with reference to embodiment 23.

[1160] Embodiment 25

[1161] Embodiment 25 illustrates a schematic diagram of P1 and P2 according to an embodiment of the present application; as shown in Figure 25.

[1162] In (a) of Figure 25, the P1 is equal to the first component, and the P2 is equal to 1.

[1163] In (b) of Figure 25, the P1 is equal to the first component plus 1, and the P2 is equal to 1.

[1164] In (c) of Figure 25, the P1 is equal to the product of the N and a first coefficient rounded off, and the P2 is equal to 1.

[1165] In (d) of Figure 25, the P1 is equal to the product of the Ml and a first coefficient rounded off, and the P2 is equal to 1.

[1166] In (e) of Figure 25, the P1 is equal to the product of the N and a first coefficient rounded off, and the P2 is equal to the product of the N and a second coefficient rounded off.

[1167] In (f) of Figure 25, the P1 is equal to the product of the N and a first coefficient rounded off, and the P2 is equal to the product of the M2 and a second coefficient rounded off.

[1168] In (g) of Figure 25, the P1 is equal to the product of the Ml and a first coefficient rounded off, and the P2 is equal to the product of the N and a second coefficient rounded off.

[1169] In (h) of Figure 25, the P1 is equal to the product of the Ml and a first coefficient rounded off, and the P2 is equal to the product of the M2 and a second coefficient rounded off.

[1170] In (i) of Figure 25, the P1 is equal to the product of the N and a first coefficient rounded off plus the first component, and the P2 is equal to the product of the N and a second coefficient rounded off.

[1171] In (j) of FIG. 25, the P1 is equal to the product of the M1 and the first coefficient rounded and added to the first component, and the P2 is equal to the product of the M2 and the second coefficient rounded.

[1172] Embodiments of the first coefficient refer to Embodiment 23.

[1173] As one embodiment, the rounding is ignored if the result of any multiplication above is an integer.

[1174] As one embodiment, the rounding is upward rounding.

[1175] Embodiment 26

[1176] Embodiment 26 illustrates a diagram of a first symbol depending on M1 RS resources according to one embodiment of the present application; as shown in FIG. 26.

[1177] As one embodiment, the first symbol depends on the earliest one of the M1 RS resources.

[1178] As one embodiment, the first symbol is the first symbol of the earliest one of the M1 RS resources.

[1179] As one embodiment, the first symbol is the first symbol of the earliest one of the M1 RS resources of a latest transmission occasion for obtaining a channel measurement for calculating the first reporting information.

[1180] As one embodiment, the first symbol depends on a time domain resource allocated to the first reporting information.

[1181] As one embodiment, the first symbol depends on a first reference time slot.

[1182] As one embodiment, the first symbol is the first symbol of a latest transmission occasion of the earliest one of the M1 RS resources no later than a first reference time slot.

[1183] Embodiments of the first reference time slot refer to Embodiment 5.

[1184] As one embodiment, the first symbol is the first symbol of the earliest one of a first set of transmission occasions, the first set of transmission occasions including one transmission occasion of each of the M1 RS resources, the first set of transmission occasions being the latest transmission occasions of the M1 RS resources for obtaining a channel measurement for calculating the first reporting information.

[1185] Embodiments of the first set of transmission occasions refer to Embodiment 13.

[1186] Embodiment 27

[1187] Embodiment 27 illustrates a diagram of a second symbol depending on M2 RS resources according to an embodiment of the application; as shown in FIG. 27.

[1188] As an embodiment, the second symbol depends on an earliest one of the M2 RS resources.

[1189] As an embodiment, the second symbol is a first symbol of the earliest one of the M2 RS resources.

[1190] As an embodiment, the second symbol is a first symbol of a latest transmission occasion of the earliest one of the M2 RS resources for obtaining a channel measurement for calculating the first report information.

[1191] As an embodiment, the second symbol is a first symbol of a latest transmission occasion of the earliest one of the M2 RS resources no later than a first reference time slot.

[1192] As an embodiment, the first reference time slot refers to Embodiment 5.

[1193] As an embodiment, the second symbol is a first symbol of an earliest one of the transmission occasions in an earliest one of the N groups of transmission occasions.

[1194] Embodiment 28

[1195] Embodiment 28 illustrates a diagram of a first report occupying P1 processing units from a first symbol until a third symbol according to an embodiment of the application; as shown in FIG. 28.

[1196] As an embodiment, the third symbol depends on the M1 RS resources.

[1197] As an embodiment, the third symbol depends on a latest one of the M1 RS resources.

[1198] As an embodiment, the third symbol is a last symbol of the latest one of the M1 RS resources.

[1199] As an embodiment, the third symbol is a Z1th symbol after the last symbol of the latest one of the M1 RS resources, the Z1 being a positive integer.

[1200] As an embodiment, the third symbol depends on a time domain resource allocated to the first report information.

[1201] As one embodiment, the third symbol depends on a first reference time slot.

[1202] As one embodiment, the third symbol is a last symbol of a latest one of the M1 RS resources not later than a last transmission occasion of a first reference time slot.

[1203] As one embodiment, the third symbol is a Z1th symbol after a last symbol of a latest one of the M1 RS resources not later than a last transmission occasion of a first reference time slot, the Z1 being a positive integer.

[1204] As an embodiment reference of the first reference time slot, refer to embodiment 5.

[1205] As one embodiment, the third symbol depends on a first set of transmission occasions.

[1206] As one embodiment, the third symbol depends on a latest one of the first set of transmission occasions.

[1207] As one embodiment, the third symbol is a last symbol of a latest one of the first set of transmission occasions.

[1208] As one embodiment, the third symbol is a Z1th symbol after a last symbol of a latest one of the first set of transmission occasions, the Z1 being a positive integer.

[1209] As one embodiment, an embodiment reference of the first set of transmission occasions refers to embodiment 13.

[1210] As one embodiment, the Z1 is configurable.

[1211] As one embodiment, the Z1 is configured by higher layer signaling.

[1212] As one embodiment, the Z1 is configured by RRC signaling.

[1213] As one embodiment, the Z1 is configured by the first configuration information block.

[1214] As one embodiment, the Z1 is fixed.

[1215] As one embodiment, the Z1 is greater than 1.

[1216] As one embodiment, the Z1 is equal to 1.

[1217] As one embodiment, the third symbol is earlier than the second symbol.

[1218] As one embodiment, the third symbol is later than the second symbol.

[1219] As one embodiment, the third symbol is the second symbol.

[1220] As one embodiment, the third symbol is a symbol preceding the second symbol.

[1221] As one embodiment, the third symbol is a Z1 symbol preceding the second symbol.

[1222] As one embodiment, the third symbol depends on a time domain resource allocated to the first reporting information.

[1223] As one embodiment, the third symbol depends on a last symbol allocated to the first reporting information.

[1224] As one embodiment, the third symbol is a last symbol allocated to the first reporting information.

[1225] As one embodiment, the third symbol is a Z symbol after a last symbol allocated to the first reporting information, the Z being a positive integer.

[1226] As one embodiment, the Z is configurable.

[1227] As one embodiment, the Z is configured by higher layer signaling.

[1228] As one embodiment, the Z is configured by RRC signaling.

[1229] As one embodiment, the Z is configured by the first configuration information block.

[1230] As one embodiment, the Z is fixed.

[1231] As one embodiment, the Z is greater than 1.

[1232] As one embodiment, the Z is equal to 1.

[1233] Embodiment 29

[1234] Embodiment 29 illustrates a diagram of a first reporting occupying P2 processing units from a second symbol until a fourth symbol according to one embodiment of the application; as shown in FIG. 29.

[1235] As one embodiment, the fourth symbol depends on a last symbol allocated to the first reporting information.

[1236] As one embodiment, the fourth symbol is a last symbol allocated to the first reporting information.

[1237] As an embodiment, the fourth symbol is the Zth symbol after a last symbol assigned to the first reporting information, the Z is a positive integer.

[1238] As an embodiment, the Z is configurable.

[1239] As an embodiment, the Z is configured by higher layer signaling.

[1240] As an embodiment, the Z is configured by RRC signaling.

[1241] As an embodiment, the Z is configured by the first configuration information block.

[1242] As an embodiment, the Z is fixed.

[1243] As an embodiment, the Z is greater than 1.

[1244] As an embodiment, the Z is equal to 1.

[1245] As an embodiment, the fourth symbol is the third symbol.

[1246] As an embodiment, the fourth symbol is later than the third symbol.

[1247] Embodiment 30

[1248] Embodiment 30 illustrates a schematic diagram of an artificial intelligence or machine learning based processing system according to an embodiment of the present application; as shown in FIG. 30. In embodiment 30, the second processing machine sends a first data set to the third processing machine, and sends a second data set to the fourth processing machine; the third processing machine generates a target first type parameter group according to the first data set, and sends the generated target first type parameter group to the fourth processing machine; the fourth processing machine processes the second data set using the target first type parameter group to obtain a first type output, and sends the first type output to the fifth processing machine. In FIG. 30, the first type feedback and the second type feedback are optional; the third processing machine comprises an ML training function; and the fourth processing machine comprises an ML inference function.

[1249] As an embodiment, the fifth processing machine comprises an ML testing function.

[1250] As an embodiment, the fifth processing machine comprises performance monitoring / evaluation of the ML model.

[1251] As an embodiment, the fourth processor sends first type feedback to the third processor, the first type feedback is used to trigger re-calculation or update of the target first type parameter group, i.e. trigger ML initial training or ML re-training.

[1252] As an embodiment, the fifth processor sends second type feedback to the second processor, the second type feedback is used to generate the first data set or the second data set, or the second type feedback is used to trigger sending of the first data set or sending of the second data set.

[1253] As an embodiment, the second processor generates the first data set and the second data set according to measurement of a reference signal.

[1254] As an embodiment, the fourth processor belongs to the first node.

[1255] As an embodiment, the fifth processor belongs to the first node or the second node.

[1256] As an embodiment, the fourth processor performs the first operation.

[1257] As an embodiment, the first type output includes the first reporting information.

[1258] As an embodiment, the second data set includes measurement of a reference signal.

[1259] As an embodiment, the first data set includes training data.

[1260] As an embodiment, the third processor is used to train an ML model, the trained model is described by the target first type parameter group.

[1261] As an embodiment, the third processor is located in the first node.

[1262] The above embodiment avoids passing the first data set to the second node.

[1263] As an embodiment, the third processor is located in the second node.

[1264] The above embodiment supports joint training, and optimizes system performance.

[1265] As an embodiment, the third processor is located in a core network.

[1266] The above embodiment supports full-network joint training, and further optimizes system performance.

[1267] As one embodiment, the second data set comprises Inference Data.

[1268] As one embodiment, the fourth processor is located at the first node.

[1269] As one embodiment, the fourth processor configures a model according to the target first-type parameter group, and then inputs the second data set into the configured model to obtain the first-type output.

[1270] As one embodiment, the fourth processor compares the real measurement result with the first-type output, and the error obtained is used to generate the first-type feedback.

[1271] As one embodiment, the fourth processor generates the first-type feedback through performance monitoring.

[1272] As one embodiment, the first-type feedback is used to reflect the performance of the trained model; when the performance of the trained model cannot meet the requirement, the third processor recalculates the target first-type parameter group.

[1273] As one embodiment, the fifth processor compares the real measurement result with the first-type output, and the error obtained is used to generate the second-type feedback.

[1274] As one embodiment, the fifth processor generates the second-type feedback through performance monitoring.

[1275] As one embodiment, the second-type feedback is used to reflect the performance of the trained model; when the performance of the trained model cannot meet the requirement, the second processor sends the first data set to trigger or assist the third processor to recalculate the target first-type parameter group.

[1276] As one embodiment, the performance of the trained model is considered to not meet the requirement when the error is too large or the update is not performed for too long a time.

[1277] As one embodiment, the target first-type parameter group comprises one or more of a convolution kernel size, a convolution layer number, a convolution step length, a pooling kernel size, a pooling kernel step length, a pooling function, an activation function, or a feature map number.

[1278] As one embodiment, the target first-type parameter group comprises one or more of a convolution kernel, a pooling kernel, a pooling function, an activation function, a parameter of the pooling function, or a parameter of the activation function.

[1279] As one embodiment, the ML comprises AI.

[1280] As one embodiment, the ML comprises ML and AI.

[1281] Embodiment 31

[1282] Embodiment 31 illustrates a schematic diagram based on artificial intelligence or machine learning, according to one embodiment of the present application; as shown in FIG. 31. FIG. 31 comprises a second operation, a third operation, a fourth operation, a fifth operation, and a sixth operation. In embodiment 31, the second operation and the third operation belong to a first phase, the fourth operation belongs to a second phase, the fifth operation belongs to a third phase, and the sixth operation belongs to a fourth phase. In FIG. 31, the line with arrow indicates the order of the flow.

[1283] As one embodiment, the second operation comprises ML training, the third operation comprises ML testing, the fourth operation comprises ML emulation, the fifth operation comprises ML entity loading, and the sixth operation comprises AI inference.

[1284] As one embodiment, the first phase comprises a training phase, the second phase comprises an emulation phase, the third phase comprises a deployment phase, and the fourth phase comprises an inference phase.

[1285] As one embodiment, the first phase comprises ML model training.

[1286] As one embodiment, the first phase comprises ML model training and ML testing.

[1287] As one embodiment, the ML model training comprises initial training and re-training of one or a set of ML models.

[1288] As one embodiment, the ML model training relies on training data.

[1289] As one embodiment, the ML model training comprises ML entity validation.

[1290] As one embodiment, the ML entity validation is used to evaluate the performance of the ML entity.

[1291] As one embodiment, the ML entity validation relies on validation data.

[1292] As one embodiment, if the result of the ML entity validation does not meet the expectation, the ML model will be retrained.

[1293] As one embodiment, the ML testing includes testing the validated ML entity to estimate the performance of the trained ML model.

[1294] As one embodiment, if the result of the ML testing meets the expectation, the ML entity proceeds to the next stage; otherwise the ML model will be retrained.

[1295] As one embodiment, the ML testing relies on testing data.

[1296] As one embodiment, the second stage includes ML simulation, which simulates the inference of the ML entity in a simulation environment.

[1297] As one embodiment, the ML simulation estimates the performance of the inference of the ML entity in a simulation environment before the ML entity is used.

[1298] As one embodiment, the second stage is optional.

[1299] As one embodiment, the third stage includes ML entity loading, which is to obtain the trained ML entity to obtain the desired AI inference function.

[1300] As one embodiment, the third stage is optional.

[1301] As one embodiment, the third stage is no longer needed when the training function and the inference function are co-located.

[1302] As one embodiment, the fourth stage includes AI inference.

[1303] As one embodiment, the ML includes AI.

[1304] As one embodiment, the AI includes ML.

[1305] Embodiment 32

[1306] Embodiment 32 illustrates a diagram of AI function deployment according to one embodiment of the present application; as shown in FIG. 32.

[1307] In embodiment 32, the AI training function of the RAN (Radio Access Network) domain is located in a 3GPP RAN domain-specific management function, while the AI inference function is located in the UE.

[1308] In embodiment 32, the RAN domain-specific management function provides the AI training function management capability and the AI inference function management capability.

[1309] Embodiment 33

[1310] Embodiment 33 illustrates a schematic diagram of AI function deployment according to one embodiment of the present application; as shown in FIG. 33.

[1311] In embodiment 33, the AI training function is located in the RAN domain-specific management function, and the AI inference function is located locally in the UE.

[1312] In embodiment 33, the management capability of the AI training function is provided by the RAN domain-specific management function, and the management capability of the AI inference is provided locally by the UE.

[1313] In FIG. 33, MnF refers to Management Function.

[1314] Embodiment 34

[1315] Embodiment 34 illustrates a schematic diagram of AI function deployment according to one embodiment of the present application; as shown in FIG. 34.

[1316] In embodiment 34, the AI training function and the AI inference function are both located in the UE, wherein the UE provides the capability of training and inference.

[1317] In embodiment 34, the RAN domain-specific management function provides the management capability of the AI training function and the management capability of the AI inference function.

[1318] Embodiment 35

[1319] Embodiment 35 illustrates a schematic diagram of AI function deployment according to one embodiment of the present application; as shown in FIG. 35.

[1320] In embodiment 35, the AI training function and the AI inference function are both located in the UE.

[1321] In embodiment 35, both the management capability of the AI training function and the management capability of the AI inference function are provided locally by the UE.

[1322] In FIG. 35, MnF refers to Management Function.

[1323] Embodiment 36

[1324] Embodiment 39 illustrates a schematic diagram of N first type CSI and N second type CSI according to one embodiment of the present application; as shown in FIG. 36. In embodiment 36, the N first type CSI and the N second type CSI are one-to-one correspondence, given first type CSI is any first type CSI in the N first type CSI, given second type CSI is the second type CSI in the N second type CSI corresponding to the given first type CSI, the given first type CSI includes K1 RS resource identifiers and K1 RSRP, the given second type CSI includes M2 RSRP and a first RS resource identifier, the K1 is a positive integer.

[1325] As one embodiment, the RS resource identifier includes CRI or SSBRI.

[1326] As one embodiment, the M2 RSRP is the RSRP of the M2 RS resource respectively.

[1327] As one embodiment, the first RS resource identifier is the identifier of the RS resource corresponding to the maximum RSRP in the M2 RSRP.

[1328] As one embodiment, the given first type CSI corresponds to a given time slot interval, the K1 RS resource identifiers indicate K1 predicted beams for the given time slot interval, and the first RS resource identifier indicates the strongest beam for the given time slot interval.

[1329] As one embodiment, the first reporting information includes the K1 RS resource identifiers, the K1 RSPP, the M2 RSRP and the first RS resource identifier.

[1330] As one embodiment, the first reporting information includes a first performance metric, and the first performance metric depends on the K1 RS resource identifiers, the K1 RSPP, the M2 RSRP and the first RS resource identifier.

[1331] As one embodiment, the first performance metric depends on whether the K1 RS resource identifiers include the first RS resource identifier.

[1332] As a sub-embodiment of the above-mentioned embodiment, the first performance metric comprises a percentage of the K1 RS resource identities including the first RS resource identity.

[1333] As an embodiment, the first performance metric depends on an average value or a CDF of a difference between a largest RSRP among the K1 RSRPs and a largest RSRP among the M2 RSRPs.

[1334] As an embodiment, the first performance metric depends on a percentage of a gap between a largest RSRP among the K1 RSRPs and a largest RSRP among the M2 RSRPs not exceeding x dB.

[1335] Embodiment 37

[1336] Embodiment 37 illustrates a schematic diagram of M1 RS resources and M2 RS resources according to an embodiment of the present application; as shown in FIG. 37. In embodiment 37, the M1 RS resources are periodic or quasi-static, a length of a period of each RS resource in the M1 RS resources is a first period length; the M1 RS resources are a subset of the M2 RS resources, RS resources in the M2 RS resources other than the M1 RS resources are aperiodic, and the first signaling triggers the N sets of transmission occasions.

[1337] In FIG. 37, the N sets of transmission occasions are denoted as transmission occasion set #0, …, transmission occasion set #(N-1), respectively.

[1338] As an embodiment, when the M2 RS resources and the M1 RS resources overlap in time domain, each RS resource in the M1 RS resources is transmitted only once.

[1339] As an embodiment, when a set of transmission occasions in the N sets of transmission occasions and the M1 RS resources overlap in time domain, each RS resource in the M1 RS resources is transmitted only once.

[1340] Embodiment 38

[1341] Embodiment 38 illustrates a structural block diagram of a processing apparatus in a first node according to an embodiment of the present application; as shown in FIG. 38. In FIG. 38, the processing apparatus 3800 in the first node comprises a first processor 3801 and a first transmitter 3802.

[1342] In embodiment 38, the first processor 3801 receives a first configuration information block, and the first transmitter 3802 transmits a first reporting information.

[1343] The first configuration information block indicates M1 RS resources and M2 RS resources, M1 and M2 are positive integers greater than 1; the first reporting information is for the first configuration information block, and the first reporting information depends on the output of a first operation and measurement for the M2 RS resources, and the input of the first operation depends on measurement for the M1 RS resources.

[1344] As one embodiment, the first operation is based on training, and the first operation includes inference.

[1345] As one embodiment, the measurement for the M2 RS resources is not used for the input of the first operation; or all or part of the M1 RS resources belong to the M2 RS resources, and the measurement for any RS resource in the M2 RS resources that does not belong to the M1 RS resources is not used for the input of the first operation.

[1346] As one embodiment, any RS resource in the M1 RS resources is a CSI-RS resource or an SS / PBCH block resource, and any RS resource in the M2 RS resources is a CSI-RS resource or an SS / PBCH block resource.

[1347] As one embodiment, N first type CSIs depend on the output of the first operation, the N first type CSIs are respectively for N time slot intervals, any time slot interval in the N time slot intervals includes one or more time slots; N second type CSIs respectively depend on measurement for N groups of transmission opportunities, any group of transmission opportunities in the N groups of transmission opportunities includes transmission opportunities of part or all of the M2 RS resources; N is a positive integer.

[1348] As one embodiment, the N time slot intervals are mutually orthogonal to each other, the N groups of transmission opportunities are mutually orthogonal to each other in the time domain, and the output of the first operation includes the N first type CSIs.

[1349] As one embodiment, the N groups of transmission opportunities respectively belong to the N time slot intervals.

[1350] As one embodiment, the first reporting information includes the N first type CSIs and the N second type CSIs, or the first reporting information depends on the N first type CSIs and the N second type CSIs.

[1351] As one embodiment, the first processor 3801 updates a first report, and the first configuration information block is used to configure the first report; wherein the first report occupies P processing units.

[1352] As an embodiment, the first report occupies the processing elements from a first symbol until a second symbol; the first symbol depends on the M1 RS resources, and the second symbol depends on the time domain resources allocated to the first report information.

[1353] As an embodiment, the P depends on a first value and a second value; the first value depends on the M1, and the second value depends on the M2.

[1354] As an embodiment, the P depends on a first component, and the first component is related to the first operation.

[1355] As an embodiment, the first report occupies P1 processing elements, and the P1 is related to the first operation.

[1356] As a sub-embodiment of the above embodiment, the occupying time of the P1 processing elements is different from the occupying time of the P processing elements.

[1357] As an embodiment, the first configuration information block indicates a first identity, and the first operation is associated to the first identity.

[1358] As an embodiment, the first identity is a non-negative integer.

[1359] As an embodiment, whether there is a RS resource in the M1 RS resources and a RS resource in the M2 RS resources have the same quasi co-location relationship, and the capability of the first node are related.

[1360] As an embodiment, the first processor 3801 receives a first signaling; wherein, the first signaling triggers the first report information.

[1361] As an embodiment, the first node is a terminal.

[1362] As an embodiment, the first node is a user equipment.

[1363] As an embodiment, the first node is a relay node equipment.

[1364] As an embodiment, the first processor 3801 comprises at least one of the {antenna 452, receiver 454, receiving processor 456, multi-antenna receiving processor 458, controller / processor 459, memory 460, data source 467} in embodiment 4.

[1365] As one embodiment, the first transmitter 3802 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.

[1366] Embodiment 39

[1367] Embodiment 39 illustrates a structural block diagram of a processing apparatus in a second node according to an embodiment of the application; as shown in Figure 39. In Figure 39, the processing apparatus 3900 in the second node includes a second transmitter 3901 and a first receiver 3902.

[1368] In embodiment 39, the second transmitter 3901 transmits a first configuration information block, and the first receiver 3902 receives a first reporting information.

[1369] In embodiment 39, the first configuration information block indicates M1 RS resources and M2 RS resources, the M1 and the M2 are positive integers greater than 1 respectively; the first reporting information is for the first configuration information block, the first reporting information depends on an output of a first operation and measurements for the M2 RS resources, an input of the first operation depends on measurements for the M1 RS resources.

[1370] As one embodiment, the first operation is based on training, and the first operation includes inference.

[1371] As one embodiment, measurements for the M2 RS resources are not used for the input of the first operation; or, all or part of the M1 RS resources belong to the M2 RS resources, and measurements for any RS resource in the M2 RS resources that does not belong to the M1 RS resources are not used for the input of the first operation.

[1372] As one embodiment, any RS resource in the M1 RS resources is a CSI-RS resource or a SS / PBCH block resource, and any RS resource in the M2 RS resources is a CSI-RS resource or a SS / PBCH block resource.

[1373] As one embodiment, N first type CSIs depend on the output of the first operation, the N first type CSIs are respectively for N time slot intervals, any time slot interval in the N time slot intervals includes one or more time slots; N second type CSIs respectively depend on measurements for N groups of transmission occasions, any group of transmission occasions in the N groups of transmission occasions includes transmission occasions of part or all of the M2 RS resources; the N is a positive integer.

[1374] As an embodiment, the N time intervals are orthogonal to each other, the N groups of transmission occasions are orthogonal to each other in time domain, and the output of the first operation includes the N first type CSI.

[1375] As an embodiment, the N groups of transmission occasions belong to the N time intervals respectively.

[1376] As an embodiment, the first report information includes the N first type CSI and the N second type CSI, or the first report information depends on the N first type CSI and the N second type CSI.

[1377] As an embodiment, a sender of the first report information updates a first report, and the first configuration information block is used to configure the first report; wherein the first report occupies P processing units.

[1378] As an embodiment, the first report occupies the processing units from a first symbol to a second symbol; the first symbol depends on the M1 RS resources, and the second symbol depends on time domain resources allocated to the first report information.

[1379] As an embodiment, the P depends on a first value and a second value, the first value depends on the M1, and the second value depends on the M2.

[1380] As an embodiment, the P depends on a first component, and the first component is related to the first operation.

[1381] As an embodiment, the first report occupies P1 processing elements, and the P1 is related to the first operation.

[1382] As a sub-embodiment of the above embodiment, the occupation time of the P1 processing elements is different from the occupation time of the P processing units.

[1383] As an embodiment, the first configuration information block indicates a first identifier, and the first operation is associated with the first identifier.

[1384] As an embodiment, the first identifier is a non-negative integer.

[1385] As an embodiment, whether there is an RS resource in the M1 RS resources and an RS resource in the M2 RS resources has the same quasi co-site relationship, and the capability of the sender of the first report information is related.

[1386] As an embodiment, the second transmitter 3901 sends first signaling; wherein the first signaling triggers the first report information.

[1387] As one embodiment, the second node is a base station.

[1388] As one embodiment, the second node is a base station device.

[1389] As one embodiment, the second node is a user equipment.

[1390] As one embodiment, the second node is a relay node device.

[1391] As one embodiment, the second transmitter 3901 includes at least one of {antenna 420, transmitter 418, transmit processor 416, multi-antenna transmit processor 471, controller / processor 475, memory 476} in embodiment 4.

[1392] As one embodiment, the first receiver 3902 includes at least one of {antenna 420, receiver 418, receive processor 470, multi-antenna receive processor 472, controller / processor 475, memory 476} in embodiment 4.

[1393] A person of ordinary skill in the art can understand that all or part of the steps in the above method can be instructed by a program to complete the relevant hardware, and the program can be stored in a computer readable storage medium, such as a read only memory, a hard disk or an optical disk, etc. Alternatively, all or part of the steps of the above embodiment can also be implemented using one or more integrated circuits. Correspondingly, each module unit in the above embodiment can be implemented in the form of hardware or in the form of a software function module, and the present application is not limited to any specific form of combination of software and hardware. The user equipment, terminal and UE in the present application include but are not limited to unmanned aerial vehicles, communication modules on unmanned aerial vehicles, remote control aircrafts, aircrafts, small aircrafts, mobile phones, tablet computers, notebooks, vehicle-mounted communication devices, vehicles, RSUs, wireless sensors, network cards, Internet of Things terminals, RFID terminals, NB-IOT terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, network cards, vehicle-mounted communication devices, low-cost mobile phones, low-cost tablet computers and other wireless communication devices. The base station or system device in the present application includes but is not limited to macro cellular base stations, micro cellular base stations, small cellular base stations, home base stations, relay base stations, eNBs, gNBs, TRPs (Transmitter Receiver Points), GNSSs, relay satellites, satellite base stations, aerial base stations, RSUs (Road Side Units), unmanned aerial vehicles, test equipment such as wireless communication devices that simulate part of the functions of base stations or signaling testers, etc.

[1394] Those skilled in the art will appreciate that the application can be practiced by other than the described embodiments, which are presented for purposes of illustration and not of limitation, without departing from the core or essential teaching of the application. The present embodiments are thus to be considered in all respects as illustrative and not restrictive, and all changes coming within the meaning and equivalency range of the appended claims are intended to be embraced therein.

Claims

1. A method in a terminal used for wireless communication, characterized by, comprising: receiving a first configuration information block, the first configuration information block indicating M1 RS resources and M2 RS resources, the M1 and the M2 being positive integers greater than 1 respectively; updating a first report, the first configuration information block being used to configure the first report; sending a first report information; wherein the first report information depends on an output of a first operation and measurements for the M2 RS resources, an input of the first operation depending on measurements for the M1 RS resources; the first report occupying P1 processing units starting from a first symbol and P2 processing units starting from a second symbol, the P1 and the P2 being positive integers respectively, the P1 and the P2 being determined respectively.

2. The method of claim 1, wherein, N first type CSI depending on the output of the first operation, the N first type CSI being for N time slot intervals respectively, any of the N time slot intervals comprising one or more time slots; N second type CSI depending on measurements for N groups of transmission occasions respectively, any of the N groups of transmission occasions comprising transmission occasions of part or all of the M2 RS resources; the N being a positive integer.

3. The method of claim 2, wherein, The P1 depending on the N, or the P1 depending on the M1.

4. The method of any one of claims 2-3, wherein, The P2 being fixed, or the P2 depending on the N, or the P2 depending on the M2.

5. The method according to any one of claims 1 to 4, characterized in that, The P1 depending on a first component, the first component being related to the first operation.

6. The method according to any one of claims 1 to 5, characterized in that, The first configuration information block indicating a first identity, the first operation being associated to the first identity.

7. The method according to any one of claims 1 to 6, characterized in that, Whether there is an RS resource in the M1 RS resources and an RS resource in the M2 RS resources having a same quasi co-location relationship, and a capability of the terminal.

8. The method according to any one of claims 1 to 7, characterized in that, comprising: receiving a first signaling; wherein the first signaling triggers the first report information.

9. The method according to any one of claims 1 to 8, characterized in that, The first symbol depending on the M1 RS resources, the second symbol depending on the M2 RS resources.

10. The method according to any one of claims 1 to 9, characterized in that, The first report occupying the P1 processing units starting from the first symbol until a third symbol, the first report occupying the P2 processing units starting from the second symbol until a fourth symbol. 11.A terminal, comprising: one or more processors and a memory; the memory being coupled to the one or more processors, the memory being configured to store computer program codes, the computer program codes comprising computer instructions, the one or more processors invoking the computer instructions to cause the terminal to perform the method according to any one of claims 1-10.

12. A method in a base station used for wireless communication, characterized by, comprising: sending a first configuration information block, the first configuration information block indicating M1 RS resources and M2 RS resources, the M1 and the M2 being positive integers greater than 1 respectively; receiving a first report information; The first reporting information depends on an output of the first operation and measurements on the M2 RS resources, and an input of the first operation depends on measurements on the M1 RS resources; a sender of the first reporting information updates a first report, and the first configuration information block is used to configure the first report; the first report occupies P1 processing units from a first symbol and P2 processing units from a second symbol, the P1 and the P2 are positive integers respectively, and the P1 and the P2 are respectively determined.

13. The method of claim 12, wherein, N pieces of first type CSI depend on the output of the first operation, and the N pieces of first type CSI are respectively for N time slot intervals, and any time slot interval in the N time slot intervals includes one or more time slots; N pieces of second type CSI respectively depend on measurements on N groups of transmission occasions, and any group of transmission occasions in the N groups of transmission occasions includes transmission occasions of part or all of the M2 RS resources; and the N is a positive integer.

14. The method of claim 13, wherein, The P1 depends on the N, or the P1 depends on the M1.

15. The method of any of claims 13-14, wherein, The P2 is fixed, or the P2 depends on the N, or the P2 depends on the M2.

16. The method according to any one of claims 12 to 15, characterized in that, The P1 depends on a first component, and the first component is related to the first operation.

17. The method of any one of claims 12-16, wherein, The first configuration information block indicates a first identifier, and the first operation is associated with the first identifier.

18. The method of any one of claims 12-17, wherein, Whether there is an RS resource in the M1 RS resources and an RS resource in the M2 RS resources has the same quasi co-site relationship, and the capability of the sender of the first reporting information is related.

19. The method of any one of claims 12-18, wherein, Comprising: sending first signaling; The first signaling triggers the first reporting information.

20. The method of any of claims 12-19, wherein, The first symbol depends on the M1 RS resources, and the second symbol depends on the M2 RS resources.

21. The method of any one of claims 12-20, wherein, The first report occupies the P1 processing units from the first symbol to a third symbol, and the first report occupies the P2 processing units from the second symbol to a fourth symbol. 22.A base station, comprising: one or more processors and a memory; the memory is coupled to the one or more processors, and the memory is configured to store computer program codes, the computer program codes include computer instructions, and the one or more processors invoke the computer instructions to enable the base station to perform the method in any one of claims 12-21.

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