Method and apparatus in node used for wireless communication

Abstract

The invention discloses a method and an apparatus in a node used for wireless communication. And the first node receives the first configuration information block, updates the first report, and sends the first report information. The first configuration information block indicates M1 RS resources and M2 RS resources, and M1 and M2 are respectively positive integers greater than 1; the first configuration information block is used for configuring the first report; the first report information depends on the output of the first operation and the measurement for the M2 RS resources; the input of the first operation depends on the measurement of the M1 RS resources; the first report occupies P1 processing units from a first symbol and occupies P2 processing units from a second symbol, the P1 and the P2 are respectively positive integers, and the P1 and the P2 are respectively determined. According to the method, the occupation of the processing unit is optimized, and the waste of the processing unit is avoided.

Description

Technical Field

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

[0002] In traditional wireless communications, UE (User Equipment) reports various auxiliary information obtained by measuring downlink signals and / or channels, such as channel information, auxiliary information related to beam management (Beam Management), auxiliary information related to positioning, HARQ-ACK (Hybrid Automatic Repeat reQuest Acknowledgement) information, beam / radio link failure auxiliary information, etc. The channel information includes but is not limited to one or more of CRI (CSI-RS Resource Indicator, channel state information reference signal resource indication), RI (Rank Indicator, rank indication), PMI (Precoding Matrix Indicator, precoding indication) or CQI (Channel quality indicator). The UE can use this information to select appropriate transmission parameters or report this information. The network device selects appropriate transmission parameters for the UE according to the UE's report, such as the resident cell, MCS (Modulation and Coding Scheme, modulation and coding scheme), TPMI (Transmitted Precoding Matrix Indicator, transmission precoding matrix indication), TCI (Transmission Configuration Indication, transmission configuration indication) and other parameters. In addition, UE reporting can be used to optimize network parameters, such as better cell coverage, switching base stations based on UE location, etc.

[0003] With the adoption of new technologies, the increase in the number of antennas, the diversification of application scenarios and the improvement of system performance requirements, traditional measurement and reporting methods will bring a lot of redundant overhead. Therefore, in NR R (release) 18, the research on AI (Artificial Intelligence) / ML (Machine Learning) technology was established to explore its impact on system performance and system design. Summary of the invention

[0004] The applicant found through research that compared with the existing technology, AI / ML functions have more special requirements, such as the need for timely retraining / deployment, stronger timeliness, and higher flexibility in input and output. Therefore, how to enhance the measurement and reporting mechanism to meet these requirements of AI / ML to maximize the performance gain brought by AI / ML is a problem that needs to be solved. In addition, the impact of these enhancements on the processing power of the UE and the occupancy of the processing unit are also issues that need to be solved.

[0005] In response to the above problems, the present application discloses a solution. It should be noted that although a large number of embodiments of the present application are developed for AI / ML, the present application is also applicable to other solutions, such as traditional measurement and reporting solutions. In addition, the use of a unified solution for different scenarios (including but not limited to AI / ML-based solutions and traditional solutions) also helps to reduce hardware complexity and cost. In the absence of conflict, the embodiments in the first node of the present application and the features in the embodiments can be applied to the second node, and vice versa. In the absence of conflict, the embodiments of the present application and the features in the embodiments can be arbitrarily combined with each other.

[0006] As an example, the interpretation of the terms in the present application refers to the definitions of the TS38 series of specification protocols of 3GPP.

[0007] As an example, the interpretation of the terms in the present application refers to the definitions of the TS28 series of specification protocols of 3GPP.

[0008] The present application discloses a method in a first node used for wireless communication, characterized by comprising:

[0009] Receive a first configuration information block, where the first configuration information block indicates M1 RS resources and M2 RS resources, where M1 and M2 are positive integers greater than 1 respectively;

[0010] updating a first report, wherein the first configuration information block is used to configure the first report;

[0011] Sending first reporting information;

[0012] Among them, the first reporting information depends on the output of the first operation and the measurement of the M2 RS resources, and the input of the first operation depends on the measurement of the M1 RS resources; the first report occupies P1 processing units starting from the first symbol and occupies P2 processing units starting from the second symbol, and the P1 and the P2 are positive integers respectively, and the P1 and the P2 are determined respectively.

[0013] 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 report requires measurement of multiple RS resources and different processing is required for the measurement of different RS resources; in the above method, the first report occupies the P1 processing unit and the P2 processing unit starting from the first symbol and the second symbol respectively, and the P1 and the P2 are determined separately, which solves this problem.

[0014] As an embodiment, the benefits of the above method include optimizing the occupancy of the processing unit, improving the utilization rate of the processing unit, and avoiding the waste of the processing unit.

[0015] As an embodiment, the benefits of the above method include that the processing unit can be used for both traditional CSI processing and the first operation, thereby improving the utilization rate of the processing unit.

[0016] As an embodiment, the first node is a terminal.

[0017] According to one aspect of the present application, it is characterized in that N first-class CSIs depend on the output of the first operation, and the N first-class CSIs are respectively for N time slot intervals, and any time slot interval of the N time slot intervals includes 1 or more time slots; N second-class CSIs respectively rely on measurements for N groups of transmission opportunities, and any group of transmission opportunities in the N groups of transmission opportunities includes the transmission opportunities of part or all of the M2 RS resources; and N is a positive integer.

[0018] 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 determine the reliability or accuracy of the output of the first operation.

[0019] As an embodiment, the benefits of the above method include ensuring the accuracy of CSI reporting, thereby ensuring system performance.

[0020] According to one aspect of the present application, it is characterized in that the P1 depends on the N.

[0021] As an embodiment, the benefits of the above method include satisfying the processing unit occupancy requirements under different numbers of time slot intervals.

[0022] According to one aspect of the present application, it is characterized in that the P1 depends on the M1.

[0023] As an embodiment, the benefits of the above method include satisfying the processing unit occupancy requirements under different numbers of RS resources.

[0024] According to one aspect of the present application, it is characterized in that P2 is fixed.

[0025] As an example, the benefits of the above method include simplification of the design.

[0026] According to one aspect of the present application, it is characterized in that P2 depends on N.

[0027] As an embodiment, the benefits of the above method include satisfying the processing unit occupancy requirements under different numbers of time slot intervals.

[0028] According to one aspect of the present application, it is characterized in that the P2 depends on the M2.

[0029] As an embodiment, the benefits of the above method include satisfying the processing unit occupancy requirements under different numbers of RS resources.

[0030] According to one aspect of the present application, it is characterized in that the P1 depends on a first component, and the first component is related to the first operation.

[0031] As an embodiment, the benefits of the above method include better adapting to the requirements of AI reasoning or training-based operations on processing units, and improving the overall performance of the system that adopts AI reasoning or training-based operations.

[0032] According to one aspect of the present application, it is characterized in that the first configuration information block indicates a first identifier, and the first operation is associated with the first identifier.

[0033] As an embodiment, the benefits of the above method include simplified design while having good flexibility and forward compatibility.

[0034] According to one aspect of the present application, it is characterized in that whether there are RS resources in the M1 RS resources and RS resources in the M2 RS resources that have the same quasi-co-location relationship is related to the capability of the first node.

[0035] As an embodiment, the benefits of the above method include better flexibility and adaptability to different terminals.

[0036] According to one aspect of the present application, it is characterized by comprising:

[0037] receiving a first signaling;

[0038] Among them, the first signaling triggers the first reporting information.

[0039] As an embodiment, the benefits of the above method include reducing reporting overhead.

[0040] As an embodiment, the benefits of the above method include good backward compatibility.

[0041] According to one aspect of the present application, it is characterized in that the first symbol depends on the M1 RS resources, and the second symbol depends on the M2 RS resources.

[0042] As an embodiment, the benefits of the above method include improving the utilization efficiency of the processing unit and avoiding the waste of the processing unit.

[0043] According to one aspect of the present application, it is characterized in that the first report occupies the P1 processing units starting from the first symbol to the third symbol, and the first report occupies the P2 processing units starting from the second symbol to the fourth symbol.

[0044] The present application discloses a method used in a second node of wireless communication, characterized by comprising:

[0045] Send a first configuration information block, where the first configuration information block indicates M1 RS resources and M2 RS resources, where M1 and M2 are positive integers greater than 1 respectively;

[0046] Receiving first reporting information;

[0047] Among them, the first reporting information depends on the output of the first operation and the measurement of the M2 RS resources, and the input of the first operation depends on the measurement of the M1 RS resources; the sender of the first reporting information updates the first report, and the first configuration information block is used to configure the first report; the first report occupies P1 processing units starting from the first symbol and P2 processing units starting from the second symbol, and the P1 and the P2 are positive integers respectively, and the P1 and the P2 are determined respectively.

[0048] As an embodiment, the second node is a base station.

[0049] According to one aspect of the present application, it is characterized in that N first-class CSIs depend on the output of the first operation, and the N first-class CSIs are respectively for N time slot intervals, and any time slot interval of the N time slot intervals includes 1 or more time slots; N second-class CSIs respectively rely on measurements for N groups of transmission opportunities, and any group of transmission opportunities in the N groups of transmission opportunities includes the transmission opportunities of part or all of the M2 RS resources; and N is a positive integer.

[0050] 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 determine the reliability or accuracy of the output of the first operation.

[0051] As an embodiment, the benefits of the above method include ensuring the accuracy of CSI reporting, thereby ensuring system performance.

[0052] According to one aspect of the present application, it is characterized in that the P1 depends on the N.

[0053] As an embodiment, the benefits of the above method include satisfying the processing unit occupancy requirements under different numbers of time slot intervals.

[0054] According to one aspect of the present application, it is characterized in that the P1 depends on the M1.

[0055] As an embodiment, the benefits of the above method include satisfying the processing unit occupancy requirements under different numbers of RS resources.

[0056] According to one aspect of the present application, it is characterized in that P2 is fixed.

[0057] As an example, the benefits of the above method include simplification of the design.

[0058] According to one aspect of the present application, it is characterized in that P2 depends on N.

[0059] As an embodiment, the benefits of the above method include satisfying the processing unit occupancy requirements under different numbers of time slot intervals.

[0060] According to one aspect of the present application, it is characterized in that the P2 depends on the M2.

[0061] As an embodiment, the benefits of the above method include satisfying the processing unit occupancy requirements under different numbers of RS resources.

[0062] According to one aspect of the present application, it is characterized in that the P1 depends on a first component, and the first component is related to the first operation.

[0063] As an embodiment, the benefits of the above method include better adapting to the requirements of AI reasoning or training-based operations on processing units, and improving the overall performance of the system that adopts AI reasoning or training-based operations.

[0064] According to one aspect of the present application, it is characterized in that the first configuration information block indicates a first identifier, and the first operation is associated with the first identifier.

[0065] As an embodiment, the benefits of the above method include simplified design while having good flexibility and forward compatibility.

[0066] According to one aspect of the present application, it is characterized in that whether there are RS resources in the M1 RS resources and RS resources in the M2 RS resources that have the same quasi-co-location relationship is related to the capability of the first node.

[0067] As an embodiment, the benefits of the above method include better flexibility and adaptability to different terminals.

[0068] According to one aspect of the present application, it is characterized by comprising:

[0069] receiving a first signaling;

[0070] Among them, the first signaling triggers the first reporting information.

[0071] As an embodiment, the benefits of the above method include reducing reporting overhead.

[0072] As an embodiment, the benefits of the above method include good backward compatibility.

[0073] According to one aspect of the present application, it is characterized in that the first symbol depends on the M1 RS resources, and the second symbol depends on the M2 RS resources.

[0074] As an embodiment, the benefits of the above method include improving the utilization efficiency of the processing unit and avoiding the waste of the processing unit.

[0075] According to one aspect of the present application, it is characterized in that the first report occupies the P1 processing units starting from the first symbol to the third symbol, and the first report occupies the P2 processing units starting from the second symbol to the fourth symbol.

[0076] The present application discloses a first node used for wireless communication, characterized in that it includes:

[0077] A first processor receives a first configuration information block, where the first configuration information block indicates M1 RS resources and M2 RS resources, where M1 and M2 are positive integers greater than 1 respectively;

[0078] The first processor updates a first report, wherein the first configuration information block is used to configure the first report;

[0079] A first transmitter, sending first reporting information;

[0080] Among them, the first reporting information depends on the output of the first operation and the measurement of the M2 RS resources, and the input of the first operation depends on the measurement of the M1 RS resources; the first report occupies P1 processing units starting from the first symbol and occupies P2 processing units starting from the second symbol, and the P1 and the P2 are positive integers respectively, and the P1 and the P2 are determined respectively.

[0081] The present application discloses a second node used for wireless communication, characterized in that it includes:

[0082] A second transmitter sends a first configuration information block, where the first configuration information block indicates M1 RS resources and M2 RS resources, where M1 and M2 are positive integers greater than 1 respectively;

[0083] A first receiver receives first reporting information;

[0084] Among them, the first reporting information depends on the output of the first operation and the measurement of the M2 RS resources, and the input of the first operation depends on the measurement of the M1 RS resources; the sender of the first reporting information updates the first report, and the first configuration information block is used to configure the first report; the first report occupies P1 processing units starting from the first symbol and P2 processing units starting from the second symbol, and the P1 and the P2 are positive integers respectively, and the P1 and the P2 are determined respectively.

[0085] As an embodiment, compared with the traditional solution, this application has the following advantages:

[0086] The occupancy of processing units is optimized to avoid the waste of processing units;

[0087] Ensures the accuracy of reporting and improves system performance;

[0088] Better adapt to more complex and diverse application scenarios and the needs of different technologies. BRIEF DESCRIPTION OF THE DRAWINGS

[0089] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments with reference to the following drawings:

[0090] Figure 1 A flowchart showing a first configuration information block and first reporting information according to an embodiment of the present application is shown;

[0091] Figure 2 A schematic diagram of a network architecture according to an embodiment of the present application is shown;

[0092] Figure 3A schematic diagram showing an embodiment of a wireless protocol architecture of a user plane and a control plane according to an embodiment of the present application;

[0093] Figure 4 A schematic diagram showing a first communication device and a second communication device according to an embodiment of the present application is shown;

[0094] Figure 5 shows transmission between a first node and a second node according to an embodiment of the present application;

[0095] Figure 6 A schematic diagram showing M1 RS resources and M2 RS resources according to an embodiment of the present application is shown;

[0096] Figure 7 A schematic diagram showing M1 RS resources and M2 RS resources according to an embodiment of the present application is shown;

[0097] Figure 8 A schematic diagram showing M1 RS resources and M2 RS resources according to an embodiment of the present application is shown;

[0098] Fig. 9 A schematic diagram showing M1 RS resources and M2 RS resources according to an embodiment of the present application is shown;

[0099] Fig.10 A schematic diagram showing M1 RS resources and M2 RS resources according to an embodiment of the present application is shown;

[0100] Fig.11 A schematic diagram of deploying a first operation according to an embodiment of the present application is shown;

[0101] Fig.12 A schematic diagram showing outputs of N first-category CSIs depending on a first operation according to an embodiment of the present application is shown;

[0102] Fig.13 A schematic diagram showing N first-category CSIs for N time slot intervals respectively according to an embodiment of the present application;

[0103] Fig.14 A schematic diagram showing N groups of transmission opportunities according to an embodiment of the present application is shown;

[0104] Fig.15 A schematic diagram showing N groups of transmission opportunities according to an embodiment of the present application is shown;

[0105] Fig.16 A schematic diagram showing N second-category CSIs respectively depending on measurements for N groups of transmission opportunities according to an embodiment of the present application is shown;

[0106] Fig.17 A schematic diagram showing N first-category CSIs and N second-category CSIs according to an embodiment of the present application is shown;

[0107] Fig.18 A schematic diagram showing a first identification according to an embodiment of the present application is shown;

[0108] Fig.19 A schematic diagram showing whether an RS resource in M1 RS resources and an RS resource in M2 RS resources have the same quasi co-location relationship and the capability of the first node according to an embodiment of the present application;

[0109] Fig. 20 A schematic diagram showing first reporting information triggered by first signaling according to an embodiment of the present application is shown;

[0110] Fig.21 A schematic diagram showing a first report according to an embodiment of the present application is shown;

[0111] Fig. 22 A schematic diagram showing a first report according to an embodiment of the present application is shown;

[0112] Fig.23 A schematic diagram showing that a first report occupies P1 processing units starting from a first symbol and occupies P2 processing units starting from a second symbol according to an embodiment of the present application;

[0113] Fig.24 A schematic diagram showing that P1 depends on the first component according to an embodiment of the present application;

[0114] Fig.25 A schematic diagram of P1 and P2 according to an embodiment of the present application is shown;

[0115] Fig.26 A schematic diagram showing a first symbol depending on M1 RS resources according to an embodiment of the present application is shown;

[0116] Fig. 27 A schematic diagram showing that a second symbol depends on M2 RS resources according to an embodiment of the present application is shown;

[0117] Fig.28 A schematic diagram showing that a first report occupies P1 processing units starting from a first symbol until a third symbol according to an embodiment of the present application;

[0118] Fig.29 A schematic diagram showing that a first report occupies P2 processing units starting from the second symbol until the fourth symbol according to an embodiment of the present application;

[0119] Fig.30 A schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of the present application is shown;

[0120] Fig.31 A schematic diagram based on artificial intelligence or machine learning according to an embodiment of the present application is shown;

[0121] Fig.32 A schematic diagram showing the deployment of AI functions according to an embodiment of the present application is shown;

[0122] Fig.33 A schematic diagram showing the deployment of AI functions according to an embodiment of the present application is shown;

[0123] Fig.34 A schematic diagram showing the deployment of AI functions according to an embodiment of the present application is shown;

[0124] Fig.35 A schematic diagram showing the deployment of AI functions according to an embodiment of the present application is shown;

[0125] Fig.36 A schematic diagram showing N first-category CSIs and N second-category CSIs according to an embodiment of the present application is shown;

[0126] Fig.37 A schematic diagram showing M1 RS resources and M2 RS resources according to an embodiment of the present application is shown;

[0127] Fig.38 A structural block diagram of a processing device used in a first node according to an embodiment of the present application is shown;

[0128] Fig.39 A structural block diagram of a processing device used in a second node according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0129] The technical solution of the present application will be further described in detail below in conjunction with the accompanying drawings. It should be noted that the embodiments and features in the embodiments of the present application can be arbitrarily combined with each other without conflict. Based on considerations such as performance, flexibility, complexity, overhead, and compatibility, those skilled in the art are motivated to flexibly combine the embodiments in different drawings without conflict, such as but not limited to the attached drawings. Figure 1 The embodiments and appendix Figure 5 -Attached Fig.39 The embodiments in Figure 5 The embodiments and appendix Figure 6 -Attached Fig.39 The embodiments in , etc.

[0130] Example 1

[0131] Embodiment 1 illustrates a flowchart of a first configuration information block and a first reporting information according to an embodiment of the present application, as shown in the attached Figure 1 As shown in the attached Figure 1 In the illustrated 100, each box represents a step. In particular, the order of the steps in the boxes does not represent a specific time sequence between the steps.

[0132] In embodiment 1, the first node receives a first configuration information block in step 101; updates a first report in step 102; and sends first report information in step 103. The first configuration information block indicates M1 RS resources and M2 RS resources, and M1 and M2 are positive integers greater than 1, respectively; the first configuration information block is used to configure the first report; the first report information depends on the output of the first operation and the measurement of the M2 RS resources, and the input of the first operation depends on the measurement of the M1 RS resources; the first report occupies P1 processing units starting from the first symbol and occupies P2 processing units starting from the second symbol, and P1 and P2 are positive integers, respectively, and P1 and P2 are determined separately.

[0133] As an embodiment, the first configuration information block is carried by higher layer signaling.

[0134] As an embodiment, the first configuration information block is carried by RRC (Radio Resource Control) signaling.

[0135] As an embodiment, the first configuration information block is carried by an RRC IE (Information Element).

[0136] As an embodiment, the first configuration information block is carried by at least one RRC IE.

[0137] As an embodiment, the first configuration information block includes information in one or more fields in an RRC IE.

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

[0139] As an embodiment, the first configuration information block is an RRC IE.

[0140] As an embodiment, the first configuration information block is carried by CSI-ReportConfig IE.

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

[0142] As an embodiment, the first configuration information block is carried by ServingCellConfig IE.

[0143] As an embodiment, the first configuration information block is carried by CSI-MeasConfig IE.

[0144] As an embodiment, the first configuration information block is carried by ServingCellConfigCommon IE.

[0145] As an embodiment, the first configuration information block is carried by ServingCellConfigCommonSIB IE.

[0146] As an embodiment, the first configuration information block includes all or part of the information in the CSI-ReportConfig IE.

[0147] As an embodiment, the first configuration information block includes all or part of the information in the ServingCellConfig IE.

[0148] As an embodiment, the first configuration information block includes all or part of the information in the CSI-MeasConfig IE.

[0149] As an embodiment, the first configuration information block includes all or part of the information in the ServingCellConfigCommon IE.

[0150] As an embodiment, the first configuration information block includes all or part of the information in ServingCellConfigCommonSIB IE.

[0151] As an embodiment, the first configuration information block indicates the M1 RS resources in sequence.

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

[0153] As an embodiment, the first configuration information block indicates the M2 RS resources in sequence.

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

[0155] As an embodiment, the first configuration information block indicates a first RS resource set, and the first RS resource set includes the M1 RS resources.

[0156] As an embodiment, the first configuration information block indicates the M1 RS resources by indicating the first RS resource set.

[0157] As an embodiment, the first configuration information block indicates an identifier of the first RS resource set.

[0158] As an embodiment, the first configuration information block indicates a second RS resource set, and the second RS resource set includes the M2 RS resources.

[0159] As an embodiment, the first configuration information block indicates the M2 RS resources by indicating the second RS resource set.

[0160] As an embodiment, the first configuration information block indicates an identifier of the second RS resource set.

[0161] As an embodiment, the first configuration information block indicates the first RS resource set and the second RS resource set in sequence.

[0162] As an embodiment, the identifier of the first RS resource set is different from the identifier of the second RS resource set.

[0163] As an embodiment, the first configuration information block indicates multiple RS resource sets, and any RS resource among the M2 RS resources belongs to one RS resource set among the multiple RS resource sets.

[0164] As an embodiment, the first configuration information block indicates the M2 RS resources by indicating the multiple RS resource sets.

[0165] As an embodiment, the first configuration information block indicates multiple RS resource sets, any RS resource among the M1 RS resources belongs to one RS resource set among the multiple RS resource sets, and any RS resource among the M2 RS resources belongs to one RS resource set among the multiple RS resource sets.

[0166] As an embodiment, the first configuration information block indicates the M1 RS resources and the M2 RS resources by indicating the multiple RS resource sets.

[0167] As an embodiment, the first configuration information block indicates the multiple RS resource sets in sequence.

[0168] As an embodiment, the M1 RS resources include CSI-RS (Channel State Information Reference Signal) resources.

[0169] As an embodiment, any RS resource among the M1 RS resources is a CSI-RS resource.

[0170] As an embodiment, at least one RS resource among the M1 RS resources is a CSI-RS resource.

[0171] As an embodiment, the M1 RS resources include SS / PBCH (Synchronisation Signal / Physical Broadcast Channel) block resources.

[0172] As an embodiment, any RS resource among the M1 RS resources is a SS / PBCH block resource.

[0173] As an embodiment, at least one RS resource among the M1 RS resources is a SS / PBCH block resource.

[0174] As an embodiment, any RS resource among the M1 RS resources is a CSI-RS resource or a SS / PBCH block resource.

[0175] As an embodiment, the identifier of at least one RS resource among the M1 RS resources is NZP-CSI-RS-ResourceId.

[0176] As an embodiment, the identifier of any RS resource among the M1 RS resources is NZP-CSI-RS-ResourceId.

[0177] As an embodiment, the identifier of at least one RS resource among the M1 RS resources is SSB-Index.

[0178] As an embodiment, the identifier of any RS resource among the M1 RS resources is SSB-Index.

[0179] As an embodiment, the M1 RS resources belong to the first RS resource set.

[0180] As an embodiment, the first RS resource set consists of the M1 RS resources.

[0181] As an embodiment, the first RS resource set includes a CSI-RS resource set.

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

[0183] As an embodiment, the identifier of the first RS resource set is NZP-CSI-RS-ResourceSetId.

[0184] As an embodiment, the first RS resource set includes a CSI SSB (Synchronization Signal Block) resource set.

[0185] As an embodiment, the first RS resource set is a CSI SSB resource set.

[0186] As an embodiment, the identifier of the first RS resource set is CSI-SSB-ResourceSetId.

[0187] As an embodiment, the M2 RS resources include CSI-RS resources.

[0188] As an embodiment, any one of the M2 RS resources is a CSI-RS resource.

[0189] As an embodiment, at least one RS resource among the M2 RS resources is a CSI-RS resource.

[0190] As an embodiment, the M2 RS resources include SS / PBCHblock resources.

[0191] As an embodiment, any RS resource among the M2 RS resources is a SS / PBCH block resource.

[0192] As an embodiment, at least one RS resource among the M2 RS resources is a SS / PBCH block resource.

[0193] As an embodiment, any one of the M2 RS resources is a CSI-RS resource or a SS / PBCH block resource.

[0194] As an embodiment, the identifier of at least one RS resource among the M2 RS resources is NZP-CSI-RS-ResourceId.

[0195] As an embodiment, the identifier of any RS resource among the M2 RS resources is NZP-CSI-RS-ResourceId.

[0196] As an embodiment, the identifier of at least one RS resource among the M2 RS resources is SSB-Index.

[0197] As an embodiment, the identifier of any RS resource among the M2 RS resources is SSB-Index.

[0198] As an embodiment, the M2 RS resources belong to the second RS resource set.

[0199] As an embodiment, the second RS resource set consists of the M2 RS resources.

[0200] As an embodiment, the second RS resource set includes a CSI-RS resource set.

[0201] As an embodiment, the second RS resource set is a CSI-RS resource set.

[0202] As an embodiment, the identifier of the second RS resource set is NZP-CSI-RS-ResourceSetId.

[0203] As an embodiment, the second RS resource set includes a CSI SSB resource set.

[0204] As an embodiment, the second RS resource set is a CSI SSB resource set.

[0205] As an embodiment, the identifier of the second RS resource set is CSI-SSB-ResourceSetId.

[0206] As an embodiment, the M2 RS resources include RS resources in each RS resource set in multiple RS resource sets.

[0207] As an embodiment, any RS resource set among the multiple RS resource sets is a CSI-RS resource set or a CSI SSB resource set.

[0208] As an embodiment, the M1 is smaller than the M2.

[0209] As an embodiment, the M1 is less than or equal to the M2.

[0210] As an embodiment, any two RS resources among the M1 RS resources are orthogonal in the time domain.

[0211] As an embodiment, there are two RS resources among the M1 RS resources that are orthogonal in the time domain.

[0212] As an embodiment, there are two RS resources among the M1 RS resources that overlap in the time domain.

[0213] As an embodiment, the M1 RS resources include two parts, the two parts are orthogonal to each other in the time domain, and any two RS resources in the same part of the two parts overlap in the time domain.

[0214] As an embodiment, there are two RS resources among the M1 RS resources that overlap in the time domain and are orthogonal in the frequency domain.

[0215] As an embodiment, there are two RS resources among the M1 RS resources, which overlap in the time-frequency domain and have different code domain resources.

[0216] As an embodiment, any two RS resources among the M2 RS resources are orthogonal in the time domain.

[0217] As an embodiment, there are two RS resources among the M2 RS resources that are orthogonal in the time domain.

[0218] As an embodiment, there are two RS resources among the M2 RS resources that overlap in the time domain.

[0219] As an embodiment, the M2 RS resources include two parts, the two parts are orthogonal to each other in the time domain, and any two RS resources in the same part of the two parts overlap in the time domain.

[0220] As an embodiment, there are two RS resources among the M2 RS resources that overlap in the time domain and are orthogonal in the frequency domain.

[0221] As an embodiment, there are two RS resources among the M2 RS resources that overlap in the time-frequency domain and have different code domain resources.

[0222] As an embodiment, the code domain resources include w f (k)') and w t (l'), said w f (k') and said w t For the definition of (l'), see 3GPP TS 38.211.

[0223] As an embodiment, the M1 RS resources are periodic or quasi-static.

[0224] As a sub-embodiment of the above embodiment, the period lengths of any two RS resources among the M1 RS resources are equal.

[0225] As an embodiment, the M1 RS resources are non-periodic.

[0226] As an embodiment, the M2 RS resources are periodic or quasi-static.

[0227] As a sub-embodiment of the above embodiment, the period lengths of any two RS resources among the M2 RS resources are equal.

[0228] As an embodiment, the M2 RS resources are non-periodic.

[0229] As an embodiment, the M1 RS resources are non-periodic, and the M2 RS resources are non-periodic.

[0230] As an embodiment, the M1 RS resources are periodic or quasi-static, and the M2 RS resources are non-periodic.

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

[0232] As an embodiment, any RS resource among the M2 RS resources and one RS among the M1 RS resources have the same quasi co-location relationship.

[0233] As an embodiment, at least one RS resource among the M2 RS resources and one RS among the M1 RS resources have the same quasi co-location relationship.

[0234] As an embodiment, any RS resource among the M2 RS resources and each RS among the M1 RS resources have different quasi-co-location relationships.

[0235] As an embodiment, at least one RS resource among the M2 RS resources and each RS among the M1 RS resources have different quasi co-location relationships.

[0236] As an embodiment, any RS resource among the M1 RS resources is different from any RS resource among the M2 RS resources.

[0237] As an embodiment, the RS resource identifier of any RS resource among the M1 RS resources is different from the RS resource identifier of any RS resource among the M2 RS resources.

[0238] As an embodiment, at least part of the M1 RS resources belong to the M2 RS resources.

[0239] As an embodiment, each RS resource in at least part of the RS resources in the M1 RS resources and one RS resource in the M2 RS resources are the same RS resource.

[0240] As an embodiment, the M1 RS resources are a subset of the M2 RS resources.

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

[0242] As an 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 the period lengths of any two RS resources in the M2 RS resources that do not belong to the M1 RS resources are equal.

[0243] As an embodiment, the M2 RS resources are periodic or quasi-static, at least some of the M1 RS resources belong to the M2 RS resources, and the period length of the at least some of the RS resources is different from the period length of any RS resource in the M2 RS resources that does not belong to the M1 RS resources.

[0244] As an embodiment, the M2 RS resources belong to the same CSI-RS resource set, and any RS resource among 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 the period length of one part of the RS resources among the M2 RS resources is not equal to the period length of another part of the RS resources among the M2 RS resources.

[0245] As an embodiment, the first RS resource set includes the M1 RS resources, the second RS resource set includes the M2 RS resources, at least part of the M1 RS resources belong to the M2 RS resources, and the time-domain behavior of the part of the RS resources in the first RS resource set is different from the time-domain behavior of the part of the RS resources in the second RS resource set.

[0246] As a sub-embodiment of the above embodiment, the part of RS resources in the first RS resource set is periodic or quasi-static, and the part of RS resources in the second RS resource set is non-periodic.

[0247] As a sub-embodiment of the above embodiment, the first RS resource set is a CSI-RS resource set, and the M1 RS resources are respectively the M1 CSI-RS resources in the first RS resource set.

[0248] As a sub-embodiment of the above embodiment, the second RS resource set is a CSI-RS resource set, and the M2 RS resources are respectively M2 CSI-RS resources in the second RS resource set.

[0249] As an 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 among the M2 RS resources except the M1 RS resources, and the first configuration information block indicates the first RS resource set and the second RS resource set.

[0250] As a 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.

[0251] As a sub-embodiment of the above embodiment, the M1 RS resources are all RS resources in the first RS resource set.

[0252] As a 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.

[0253] As a sub-embodiment of the above embodiment, the first configuration information block indicates the M1 RS resources by indicating the first RS resource set, and the first configuration information block indicates the M2 RS resources by indicating the first RS resource set and the second RS resource set.

[0254] As a sub-embodiment of the above embodiment, the first RS resource set is a CSI-RS resource set, and the second RS resource set is a CSI-RS resource set.

[0255] As a sub-embodiment of the above embodiment, the first RS resource set is periodic or quasi-static, and the second RS resource set is non-periodic.

[0256] As an embodiment, the first reporting includes CSI (Channel State Information) reporting.

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

[0258] As an embodiment, the first report is identified by a CSI-ReportConfigId.

[0259] As an embodiment, the first reporting includes reporting of a performance metric.

[0260] As an embodiment, the performance metrics include one or more of SGCS (Squared Generalized CosineSimilarity), 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.

[0261] As an embodiment, the UPT includes at least one of an average UPT and a 5% UPT.

[0262] As an embodiment, the CSI prediction accuracy includes RSRP accuracy, beam prediction accuracy, correct prediction success rate or various combinations thereof.

[0263] As an embodiment, the beam prediction accuracy includes at least one of the probability that the first (top-1) strongest beam is the first (top-1) predicted beam, the probability that the first (top-1) strongest beam is one of the top K (top-K) predicted beams, and the probability that the first (top-1) predicted beam is one of the top K (top-K) strongest beams.

[0264] As an embodiment, the RSRP accuracy includes at least one of the average value of the difference between the RSRP of the first (top-1) predicted beam and the RSRP of the first (top-1) strongest beam, and the CDF (Cumulative Distribution Function) of the difference between the RSRP of the first (top-1) predicted beam and the RSRP of the first (top-1) strongest beam.

[0265] As an embodiment, the correct prediction includes at least one of: the difference between the RSRP of the first (top-1) predicted beam and the RSRP of the strongest beam does not exceed xdB, and the difference between the maximum RSRP of the top K (top-K) predicted beams and the RSRP of the strongest beam does not exceed xdB.

[0266] As a sub-embodiment of the above embodiment, the x is configurable.

[0267] As a sub-embodiment of the above embodiment, the x depends on measurement accuracy.

[0268] As an embodiment, the first report includes a report for performance monitoring.

[0269] As an embodiment, the first report is a report on the first configuration information block.

[0270] As an embodiment, the first report is a CSI report for the first configuration information block.

[0271] As an embodiment, the first reporting is periodic.

[0272] As an embodiment, the first reporting is semi-persistent.

[0273] As an embodiment, the first reporting is aperiodic.

[0274] As an embodiment, the first configuration information block indicates that the M1 RS resources and the M2 RS resources are used for the first reported channel measurement.

[0275] As an embodiment, the first configuration information block indicates that the M1 RS resources and the M2 RS resources are used to obtain channel measurements for calculating the first report.

[0276] As an embodiment, the first configuration information block indicates RS resources used for the first reported channel measurement.

[0277] As an embodiment, the first configuration information block indicates the reporting amount of the first report.

[0278] As an embodiment, the reported amount includes a CSI reported amount.

[0279] As an embodiment, the reported amount includes compressed CSI.

[0280] As an embodiment, the reported 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 (Capability Index) and TDCP (Time Domain Channel Properties).

[0281] As an embodiment, the reported amount includes performance metrics.

[0282] As an embodiment, the first configuration information block indicates the PUCCH resources allocated to the first report.

[0283] As an embodiment, the first configuration information block indicates a time-domain behavior of the first report.

[0284] As an embodiment, the time domain behavior includes periodic, quasi-static and non-periodic.

[0285] As an embodiment, the first reporting is periodic, and the first configuration information block indicates the period of the first reporting.

[0286] As an embodiment, the first configuration information block indicates the frequency domain resources targeted by the first report.

[0287] As an embodiment, the first configuration information block indicates the values ​​of some 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 report.

[0288] As an embodiment, the updating of the first report includes performing the first operation.

[0289] As an embodiment, the update of the first report includes the calculation of the N first-category CSIs and the calculation of the N second-category CSIs.

[0290] As an embodiment, the update of the first report depends on the measurement of the M1 RS resources and the measurement of the M2 RS resources.

[0291] As an embodiment, the updating of the first report depends on the first operation and the measurement of the M2 RS resources.

[0292] As an embodiment, the measurement of the M1 RS resources and the measurement of the M2 RS resources are used together to update the first report.

[0293] As an embodiment, the first node obtains channel measurement for updating the first report based on the M1 RS resources and the M2 RS resources.

[0294] As an embodiment, the first node obtains the channel measurement for updating the first report based only on the M1 RS resources and the M2 RS resources.

[0295] As an embodiment, the first report is used for performance monitoring of the first operation.

[0296] As an embodiment, the first node performs performance monitoring on the first operation through the first report.

[0297] As an embodiment, the first node assists the network or the sender of the first configuration information block to perform performance monitoring on the first operation through the first report.

[0298] As an embodiment, the performance monitoring of the first operation depends on the first reporting.

[0299] As an embodiment, the first node relies on the first report to perform performance monitoring on the first operation.

[0300] As an embodiment, the sender of the first configuration information block relies on the first report to perform performance monitoring on the first operation.

[0301] As an embodiment, the first reporting information is for the first configuration information block.

[0302] As an embodiment, the first reporting information is reported by the first node for the first configuration information block.

[0303] As an embodiment, the first reporting information for the first configuration information block means that the first reporting information is reported for the first configuration information block.

[0304] As an embodiment, the first reporting information is generated according to the first configuration information block.

[0305] As an embodiment, the first reporting information for the first configuration information block means that the first reporting information is generated according to the first configuration information block.

[0306] As an embodiment, the first reporting information is for the first report.

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

[0308] As an embodiment, the first reporting information includes the first report.

[0309] As an embodiment, the first reporting information is a first report of the first report.

[0310] As an embodiment, the first reported information depends on the update of the first report.

[0311] As an embodiment, the updating of the first report includes calculating the first reporting information.

[0312] As an embodiment, the measurement of the M1 RS resources and the measurement of the M2 RS resources are used together to calculate the first reporting information.

[0313] As an embodiment, the first node obtains channel measurement for calculating the first reporting information based on the M1 RS resources and the M2 RS resources.

[0314] As an embodiment, the first node obtains the channel measurement for calculating the first reporting information only based on the M1 RS resources and the M2 RS resources.

[0315] As an embodiment, the first configuration information block indicates that the RS resources used to obtain the channel measurement for calculating the first reporting information include the M1 RS resources and the M2 RS resources.

[0316] As an embodiment, the output of the first operation and the measurement of the M2 RS resources are used together to calculate the first reporting information.

[0317] As an embodiment, calculating the first reported information refers to calculating the reporting amount of the first reported information.

[0318] As an embodiment, the first reporting information includes one or more reporting quantities.

[0319] As an embodiment, the first configuration information block indicates the reporting amount included in the first reporting information.

[0320] As an embodiment, the reported amount includes a CSI reported amount.

[0321] As an embodiment, the reported amount includes compressed CSI.

[0322] As an embodiment, the reported 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 (Capability Index) and TDCP (Time Domain Channel Properties).

[0323] As an embodiment, the reported amount includes a performance metric.

[0324] As an embodiment, the first reporting information is transmitted on PUCCH (Physical Uplink Control Channel), and the first configuration information block indicates the PUCCH resources allocated to the first reporting information.

[0325] As an embodiment, the first configuration information block indicates the frequency domain resources to which the first reporting information is directed.

[0326] As an embodiment, the first operation is based on training.

[0327] As an embodiment, the first operation is obtained through training.

[0328] As an embodiment, the problem to be solved by the present application includes: the measurement of the M1 RS resources is used as the input of the first operation based on training. In a scenario where a report depends on the output of the first operation and on the measurement of the M2 RS resources, how to determine the number of processing units occupied by this report.

[0329] As an embodiment, the essence of the above method includes that the first reporting information is used for performance monitoring of the first operation; the problem to be solved by the present application includes how to determine the number of processing units occupied by reports related to performance monitoring of training-based operations.

[0330] In the above method, the first report occupies the P1 processing units and the P2 processing units starting from the first symbol and the second symbol respectively, wherein the P1 and the P2 are determined separately, thus solving the above problem.

[0331] As an embodiment, the benefits of the above method include simultaneously satisfying the processing unit occupancy requirements related to training-based operations and other processing unit occupancy requirements, simplifying the design and avoiding waste of processing units.

[0332] As an embodiment, the benefits of the above method include that the processing unit can be used for both traditional CSI processing and training-based operations, thereby improving the utilization rate of the processing unit.

[0333] As an embodiment, the models of the first operation are all obtained through training.

[0334] As an embodiment, the training of the first operation is performed by the first node.

[0335] As an embodiment, the training of the first operation is performed by a sender of the first configuration information block.

[0336] As an embodiment, the training of the first operation is performed by a core network.

[0337] As an embodiment, the training of the first operation is performed by an AI training producer.

[0338] As an embodiment, the training of the first operation is performed by an MDA function (Management Data Analytics Function).

[0339] As an embodiment, the training of the first operation is performed by NWDAF (Network Data Analytics Function).

[0340] As an embodiment, the training of the first operation is performed by a MDAS (Management Data Analytics Service) producer.

[0341] As an embodiment, the training of the first operation is performed by a MnS (Management Service) producer.

[0342] As an embodiment, the first operation includes inference.

[0343] As an embodiment, the reasoning refers to AI (Artificial Intelligence) reasoning.

[0344] As an embodiment, the first operation includes AI reasoning.

[0345] As an embodiment, the problem to be solved by the present application includes: the measurement of the M1 RS resources is used for the input of AI reasoning. In a scenario where a report depends on the output of the AI ​​reasoning and on the measurement of the M2 RS resources, how to determine the number of processing units occupied by this report.

[0346] As an embodiment, the essence of the above method includes that the first reporting information is used for performance monitoring of the AI ​​reasoning; the problem to be solved by this application includes how to determine the number of processing units occupied by reports related to performance monitoring of AI reasoning.

[0347] As an embodiment, the benefits of the above method include simultaneously satisfying the processing unit occupancy requirements related to AI reasoning and other processing unit occupancy requirements, simplifying the design and avoiding waste of processing units.

[0348] As an embodiment, the benefits of the above method include that the processing unit can be used for both traditional CSI processing and AI reasoning processing, thereby improving the utilization rate of the processing unit.

[0349] As an embodiment, the first operation is reasoning.

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

[0351] As an embodiment, the first operation includes AI reasoning for CSI (Channel State Information).

[0352] As an embodiment, the first operation includes AI reasoning for CSI prediction.

[0353] As an embodiment, the first operation includes AI reasoning for beam management.

[0354] As an embodiment, the first operation includes an AI entity.

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

[0356] As an embodiment, the first operation includes a portion of an AI entity.

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

[0358] As an embodiment, the first operation is performed by an AI entity.

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

[0360] As an embodiment, the first operation is performed by an AI function.

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

[0362] As an embodiment, the AI ​​function includes an AI reasoning function.

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

[0364] As an embodiment, the AI ​​function includes an AI management function.

[0365] As an embodiment, the AI ​​includes ML (Machine Learning).

[0366] As an embodiment, the AI ​​includes AI and ML.

[0367] As an embodiment, the AI ​​includes AI or ML.

[0368] As an embodiment, the first operation requires deployment.

[0369] As an embodiment, the first operation does not require deployment.

[0370] As an embodiment, the first operation is obtained by loading.

[0371] As an embodiment, the first operation is obtained by loading from a serving cell of the first node.

[0372] As an embodiment, the first operation is obtained by loading from a base station maintaining a service cell of the first node.

[0373] As an embodiment, the first operation is obtained by loading from the core network.

[0374] As an embodiment, the first operation is based on artificial intelligence or machine learning.

[0375] As an embodiment, the first operation is based on a neural network.

[0376] As an embodiment, the first operation includes CSI prediction based on artificial intelligence or machine learning.

[0377] As an embodiment, the first operation includes beam management based on artificial intelligence or machine learning.

[0378] As an embodiment, the output of the first operation includes one or more of CRI, SSBRI and RSRP.

[0379] As an embodiment, the output of the first operation includes CRI.

[0380] As an embodiment, the output of the first operation includes SSBRI.

[0381] As an embodiment, the output of the first operation includes RSRP.

[0382] As an embodiment, the output of the first operation includes CRI and RSRP.

[0383] As an embodiment, the output of the first operation includes SSBRI and RSRP.

[0384] As an embodiment, the output of the first operation includes predicted CSI.

[0385] As an embodiment, the predicted CSI includes one or more of predicted CRI, predicted SSBRI and predicted RSRP.

[0386] As an embodiment, the prediction includes spatial prediction or temporal prediction.

[0387] As an embodiment, the prediction includes spatial prediction and temporal prediction.

[0388] As an embodiment, the first configuration information block indicates the first operation.

[0389] As an embodiment, the benefits of the above method include supporting joint optimization and further improving system performance.

[0390] As an embodiment, the benefits of the above method include, in a two-sided model, making the models on both sides more matched, further improving the system performance.

[0391] As an embodiment, the first node determines the first operation by itself.

[0392] As an embodiment, the advantages of the above method include better flexibility, applicability to different terminals, and reduced air interface overhead.

[0393] As an 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.

[0394] As an 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.

[0395] As a sub-embodiment of the above embodiment, the first identifier is a non-negative integer.

[0396] As a sub-embodiment of the above embodiment, the first identifier is a character string.

[0397] As a sub-embodiment of the above embodiment, the first operation is identified by the first identifier.

[0398] As a sub-embodiment of the above embodiment, the AI ​​function or AI entity that performs the first operation is identified by the first identifier.

[0399] As a sub-embodiment of the above embodiment, the training or training data set of the first operation is identified by the first identifier.

[0400] As an embodiment, the first operation is one candidate operation among multiple candidate operations, and the first node determines the first operation from the multiple candidate operations by itself.

[0401] As an embodiment, each candidate operation among the multiple candidate operations is obtained through training.

[0402] As an embodiment, the model of each candidate operation among the multiple candidate operations is obtained through training.

[0403] As an embodiment, each candidate operation of the multiple candidate operations includes AI reasoning.

[0404] As an embodiment, each of the multiple candidate operations includes AI reasoning for CSI prediction or beam management.

[0405] As an embodiment, each candidate operation among the multiple candidate operations is based on artificial intelligence or machine learning.

[0406] As an embodiment, at least one candidate operation among the multiple candidate operations requires deployment.

[0407] As an embodiment, the sender of the first configuration information block indicates the multiple candidate operations.

[0408] As an embodiment, the first node determines the multiple candidate operations by itself.

[0409] As an embodiment, the sender of the first configuration information block indicates a part of the multiple candidate operations, and the first node determines another part of the multiple candidate operations by itself.

[0410] Generally speaking, how the first node determines the first operation from the multiple candidate operations is determined by the hardware device vendor. Some non-limiting implementation methods are described below:

[0411] As an embodiment, the first node determines the first operation by monitoring the performance of each candidate operation among the multiple candidate operations.

[0412] As an embodiment, the input of each of the multiple candidate operations depends on the measurement of the M1 RS resources, the output of each of the multiple candidate operations includes a first type of CSI, and the first node performs performance monitoring on each of the multiple candidate operations by comparing the first type of CSI output by each of the multiple candidate operations and the second type of CSI obtained based on the measurement of the M2 RS resources.

[0413] As an embodiment, the first operation is the one with the best performance among the multiple candidate operations.

[0414] As an embodiment, the first operation is the one with the worst performance among the multiple candidate operations.

[0415] As an embodiment, the first operation is a most recently updated one among the multiple candidate operations.

[0416] As an embodiment, the first operation is one of the multiple candidate operations that was most recently trained or retrained.

[0417] As an embodiment, the first operation is one of the multiple candidate operations that is most recently deployed or redeployed.

[0418] As an embodiment, measurements obtained based on the M1 RS resources are used as input for the first operation.

[0419] As an embodiment, the channel measurement obtained based on the M1 RS resources is used as an input for the first operation.

[0420] As an embodiment, measurements obtained based on the M1 RS resources are used to generate input for the first operation.

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

[0422] As an embodiment, the input of the first operation includes measurements obtained based on the M1 RS resources.

[0423] As an embodiment, the input of the first operation includes measurements obtained based on at least one RS resource among the M1 RS resources.

[0424] As an embodiment, the input of the first operation includes measurements obtained based on each of the M1 RS resources.

[0425] As an embodiment, the input of the first operation includes channel measurement obtained based on the M1 RS resources.

[0426] As an embodiment, the input of the first operation includes a channel measurement obtained based on at least one RS resource among the M1 RS resources.

[0427] As an embodiment, the input of the first operation includes channel measurement obtained based on each of the M1 RS resources.

[0428] As an embodiment, the input of the first operation includes RSRP of part or all of the M1 RS resources.

[0429] As an embodiment, the input of the first operation includes the quantized RSRP of part or all of the M1 RS resources.

[0430] As an embodiment, among the M1 RS resources and the M2 RS resources, the input of the first operation only depends on the measurement of the M1 RS resources.

[0431] As an embodiment, the input of the first operation does not depend on the measurement of the M2 RS resources.

[0432] As an embodiment, the measurement of the M2 RS resources is not used as an input for the first operation.

[0433] As an embodiment, all or part of the M1 RS resources belong to the M2 RS resources, and measurement of any RS resource in the M2 RS resources that does not belong to the M1 RS resources is not used as input for the first operation.

[0434] As an embodiment, the measurement of the M2 RS resources is not used to generate the input of the first operation.

[0435] As an embodiment, all or part of the M1 RS resources belong to the M2 RS resources, and measurement of any RS resource in the M2 RS resources that does not belong to the M1 RS resources is not used to generate input for the first operation.

[0436] As an embodiment, the input of the first operation does not include measurement of the M2 RS resources.

[0437] 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 measurement of any RS resource in the M2 RS resources that does not belong to the M1 RS resources.

[0438] As an embodiment, the first reporting information is used for performance monitoring of the first operation.

[0439] As an embodiment, the problem to be solved by the present application includes how to determine the number of reported occupied processing units related to performance monitoring of AI reasoning or training-based operations.

[0440] As an embodiment, the first node assists the network in performing performance monitoring on the first operation by reporting the first reporting information.

[0441] As an embodiment, the first node assists the sender of the first configuration information block to perform performance monitoring on the first operation by reporting the first reporting information.

[0442] Generally speaking, how to perform performance monitoring is determined by the hardware equipment vendor. Here are some non-restrictive implementation methods:

[0443] As an embodiment, the first reporting information includes a first UPT obtained based on the output of the first operation and a second UPT obtained based on the measurement of the M2 RS resources. If the first UPT is smaller than the second UPT and the difference between the two is greater than a threshold, the first operation is deactivated or falls back or switched.

[0444] As an embodiment, the first reporting information includes a first BLER obtained based on the output of the first operation and a second BLER obtained based on the measurement of the M2 RS resources. 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 switched.

[0445] As an embodiment, the first reporting information includes the CSI prediction accuracy obtained based on the output of the first operation and the measurement of the M2 RS resources. If the CSI prediction accuracy is lower than a threshold, the first operation is deactivated or falls back or switched.

[0446] As an embodiment, the first reporting information includes a first (top-1) predicted beam obtained based on the first operation and top K (top-K) strongest beams obtained based on the measurement of the M2 RS resources. If the percentage of the top K strongest beams including the first predicted beam is lower than a threshold, the first operation is deactivated, falls back or switched.

[0447] As an embodiment, the first reporting information includes the top K predicted beams obtained based on the first operation and the first (top-1) strongest beam obtained based on the measurement of the M2 RS resources. If the percentage of the top K predicted beams including the first strongest beam is lower than a threshold, the first operation is deactivated, falls back or switched.

[0448] As an embodiment, the first reporting information includes the RSRP of the first (top-1) predicted beam obtained based on the first operation and the RSRP of the first (top-1) strongest beam obtained based on the measurement of the M2 RS resources. If the average value of the difference between the RSRP of the first predicted beam and the RSRP of the first strongest beam is greater than a threshold, the first operation is deactivated, falls back or switched.

[0449] As an embodiment, the first reporting information includes a success rate of correct predictions. If the success rate of correct predictions is lower than a threshold, the first operation is deactivated or falls back or switched.

[0450] As an embodiment, the first report occupies the P1 processing units of the first node starting from the first symbol and occupies the P2 processing units of the first node starting from the second symbol.

[0451] As an embodiment, the processing unit includes CSI processing units (CSIprocessing units).

[0452] As an embodiment, the P1 processing unit is a P1 CSI processing unit, and the P2 processing unit is a P2 CSI processing unit.

[0453] As an embodiment, the processing unit is a CSI processing unit.

[0454] As an embodiment, the processing unit may be used for CSI processing.

[0455] As an embodiment, the processing unit includes other processing units different from the CSI processing unit.

[0456] As an embodiment, the processing unit includes a processing unit for AI reasoning.

[0457] As an embodiment, the processing unit may be used for AI reasoning.

[0458] As an embodiment, the processing unit includes a CSI processing unit and a processing unit for AI reasoning.

[0459] As an embodiment, the processing unit may be used for CSI processing and AI reasoning.

[0460] As an embodiment, P1 is equal to 1.

[0461] As an embodiment, P1 is greater than 1.

[0462] As an embodiment, P2 is equal to 1.

[0463] As an embodiment, P2 is greater than 1.

[0464] As an embodiment, the update of the first report occupies the P1 processing units starting from the first symbol and occupies the P2 processing units starting from the second symbol.

[0465] As an embodiment, the second symbol is later than the first symbol.

[0466] As an embodiment, the second symbol is later than the first symbol, and the first report does not occupy the processing unit before the first symbol.

[0467] As an embodiment, the P1 depends on the capability of the first node.

[0468] As an embodiment, the P2 depends on the capability of the first node.

[0469] As an embodiment, both the P1 and the P2 depend on the capability of the first node.

[0470] As an embodiment, among P1 and P2, only P1 depends on the capability of the first node.

[0471] As an embodiment, the capability of the first node includes UE capability.

[0472] As an embodiment, the capability of the first node includes UE processing capability (UE processingcapability).

[0473] As an embodiment, the capability of the first node includes a UE capability indication (UE capability indication).

[0474] As an embodiment, the capability of the first node includes UE processing time capability.

[0475] As an embodiment, the P1 processing units are the processing units occupied by the first operation.

[0476] As an embodiment, the processing unit occupied by the first operation includes a processing unit for obtaining an input of the first operation and obtaining an output of the first operation.

[0477] As an embodiment, the P2 processing units are the processing units occupied by the first report except for the processing units occupied by the first operation.

[0478] As an embodiment, the P1 processing units are processing units related to the calculation of the N first-category CSIs.

[0479] As an embodiment, the P2 processing units are processing units related to the calculation of the N second-type CSIs.

[0480] As an embodiment, the P1 processing units are processing units related to the calculation of the N first-type CSIs, and the P2 processing units are processing units related to the calculation of the N second-type CSIs.

[0481] Example 2

[0482] Embodiment 2 illustrates a schematic diagram of a network architecture according to an embodiment of the present application, as shown in the attached Figure 2 shown.

[0483] Attached Figure 2The network architecture 200 is described. The network architecture 200 is a 5G NR (New Radio) / LTE (Long-Term Evolution) / LTE-A (Long-Term Evolution Advanced) system, or 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 by 3GPP in the future evolution; the network architecture 200 may be called 5GS (5G System) / EPS (Evolved Packet System), or the network architecture 200 may be called 6GS (6G System); the network architecture 200 includes at least one of UE (User Equipment) 201, RAN (Radio Access Network) 202, core network 210, HSS (Home Subscriber Server) / UDM (Unified Data Management) 220 and Internet service 230. The network architecture 200 may be interconnected with other access networks, but these entities / interfaces are not shown for simplicity. As shown, the network architecture 200 provides packet switching services, but it will be readily understood by those skilled in the art that the various concepts presented throughout this application can be extended to networks or other cellular networks that provide circuit switching services. The RAN includes a node 203. The RAN may also include other nodes 204. The node 203 provides user and control plane protocol terminations toward the UE 201. The node 203 may be connected to the other nodes 204 via an Xn interface (e.g., backhaul) / X2 interface. The node 203 may also be referred to as a base station, a base transceiver station, a radio base station, a radio transceiver, a transceiver function, a basic service set (BSS), an extended service set (ESS), a TRP (transmitting receiving node) or some other suitable terminology. The core network 210 is 5GC (5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is 6GC; the node 203 provides an access point to the core network 210 for the UE 201.Examples of UE201 include cellular phones, smart phones, session initiation protocol (SIP) phones, laptop computers, personal digital assistants (PDAs), satellite radios, non-terrestrial base station communications, satellite mobile communications, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, drones, aircraft, narrowband Internet of Things devices, machine type communication devices, land vehicles, cars, wearable devices, or any other similar functional devices. Those skilled in the art may also refer to UE201 as a mobile station, a subscriber station, a mobile unit, a subscriber unit, a wireless unit, a remote unit, a mobile device, a wireless device, a wireless communication device, a remote device, a mobile subscriber station, an access terminal, a mobile terminal, a wireless terminal, a remote terminal, a handset, a user agent, a mobile client, a client, or some other suitable term. Node 203 is connected to the core network 210 via an S1 / NG interface. The core network 210 includes MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MME / AMF / SMF214, S-GW (Service Gateway) / UPF (User Plane Function) 212 and P-GW (Packet Data Network Gateway) / UPF213. MME / AMF / SMF211 is a control node that handles signaling between UE201 and the core network 210. Generally, MME / AMF / SMF211 provides bearer and connection management. All user IP (Internet Protocol) packets are transmitted through S-GW / UPF212, and S-GW / UPF212 itself is connected to P-GW / UPF213. P-GW provides UE IP address allocation and other functions. P-GW / UPF213 is connected to Internet service 230. The Internet service 230 includes the operator's corresponding Internet protocol service, which may specifically include the Internet, intranet, IMS (IP Multimedia Subsystem) and packet switching services.

[0484] As an embodiment, the first node includes the UE201.

[0485] As an embodiment, the second node includes the node 203.

[0486] As an embodiment, the wireless link between the UE 201 and the node 203 includes a cellular network link.

[0487] As an embodiment, the sender of the first configuration information block includes the node 203.

[0488] As an embodiment, the receiver of the first configuration information block includes the UE201.

[0489] As an embodiment, the execution of the update of the first report includes the UE201.

[0490] As an embodiment, the sender of the first reporting information includes the UE201.

[0491] As an embodiment, the receiver of the first reporting information includes the node 203.

[0492] As an embodiment, the UE 201 supports operations based on AI or ML.

[0493] As an embodiment, the UE 201 supports CSI based on AI or ML.

[0494] As an embodiment, the node 203 supports AI or ML based operations.

[0495] As an embodiment, the node 203 supports CSI based on AI or ML.

[0496] Example 3

[0497] Embodiment 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture of a user plane and a control plane according to an embodiment of the present application, as shown in the attached figure. Figure 3 shown.

[0498] Embodiment 3 shows a schematic diagram of an embodiment of a wireless protocol architecture of a user plane and a control plane according to the present application, as shown in the attached Figure 3 shown. Figure 3 is a schematic diagram illustrating an embodiment of a radio protocol architecture for a user plane 350 and a control plane 300, Figure 3The radio protocol architecture of the control plane 300 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 is shown with three layers: Layer 1, Layer 2 and Layer 3. Layer 1 (L1 layer) is the lowest layer and implements various PHY (physical layer) signal processing functions. The L1 layer will be referred to as PHY301 in this article. Layer 2 (L2 layer) 305 is above PHY301 and is responsible for the link between the first communication node device and the second communication node device, or between two UEs. The L2 layer 305 includes a MAC (Medium Access Control) sublayer 302, an RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate at the second communication node device. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. The PDCP sublayer 304 also provides security by encrypting data packets, and provides support for inter-zone mobility of the first communication node device between the second communication node device. The RLC sublayer 303 provides segmentation and reassembly of upper layer data packets, retransmission of lost data packets, and reordering of data packets to compensate for out-of-order reception due to HARQ. The MAC sublayer 302 provides multiplexing between logical and transport channels. The MAC sublayer 302 is also responsible for allocating various radio resources (e.g., resource blocks) in a cell between the first communication node devices. The MAC sublayer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sublayer 306 in layer 3 (L3 layer) in the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and configuring the lower layer using RRC signaling between the second communication node device and the first communication node device. The radio protocol architecture of the user plane 350 includes layer 1 (L1 layer) and layer 2 (L2 layer). The radio protocol architecture used for the first communication node device and the second communication node device in the user plane 350 is substantially the same as the corresponding layers and sublayers in the control plane 300 for the physical layer 351, the PDCP sublayer 354 in the L2 layer 355, the RLC sublayer 353 in the L2 layer 355, and the MAC sublayer 352 in the L2 layer 355, but the PDCP sublayer 354 also provides header compression for upper layer data packets to reduce radio transmission overhead.The L2 layer 355 in the user plane 350 also includes a SDAP (Service Data Adaptation Protocol) sublayer 356, which is responsible for mapping between QoS flows and data radio bearers (DRBs) to support the diversity of services. Although not shown in the figure, the first communication node device may have several upper layers above the L2 layer 355, including a network layer (e.g., an IP layer) terminated at the P-GW on the network side and an application layer terminated at the other end of the connection (e.g., a remote UE, a server, etc.).

[0499] As an example, Figure 3 The wireless protocol architecture is applicable to the first node.

[0500] As an example, Figure 3 The wireless protocol architecture is applicable to the second node.

[0501] As an embodiment, the higher layer in the present application refers to a layer above the physical layer.

[0502] As an embodiment, the first configuration information block is generated in the RRC sublayer 306.

[0503] As an embodiment, the first reporting information is generated by the PHY301 or the PHY351.

[0504] As an embodiment, the updating of the first report is performed in the PHY301 or the PHY351.

[0505] As an embodiment, the first signaling is generated in the PHY301 or the PHY351.

[0506] Example 4

[0507] Embodiment 4 illustrates a schematic diagram of a first communication device and a second communication device according to an embodiment of the present application, as shown in the attached figure. Figure 4 Attached Figure 4 is a block diagram of a first communication device 410 and a second communication device 450 communicating with each other in an access network.

[0508] 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 .

[0509] The second communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmit processor 468, a receive processor 456, a multi-antenna transmit processor 457, a multi-antenna receive processor 458, a transmitter / receiver 454 and an antenna 452.

[0510] In the transmission from the first communication device 410 to the second communication device 450, at the first communication device 410, the upper layer data packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements the functionality of the L2 layer. In DL (DownLink), the controller / processor 475 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocation to the second communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the second communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for the L1 layer (i.e., the physical layer). The transmit processor 416 implements coding and interleaving to facilitate forward error correction (FEC) at the second communication device 450, as well as constellation mapping based on various modulation schemes (e.g., binary phase shift keying (BPSK), quadrature phase shift keying (QPSK), M-phase shift keying (M-PSK), M-quadrature amplitude modulation (M-QAM). The multi-antenna transmit processor 471 performs digital spatial precoding on the coded and modulated symbols, including codebook-based precoding and non-codebook-based precoding, and beamforming processing to generate one or more parallel The transmit processor 416 then maps each parallel stream to a subcarrier, multiplexes the modulated symbols with a reference signal (e.g., a pilot) in the time domain and / or frequency domain, and then uses an inverse fast Fourier transform (IFFT) to generate a physical channel carrying a time domain multi-carrier symbol stream. The multi-antenna transmit processor 471 then performs a transmit analog precoding / beamforming operation on the time domain multi-carrier symbol stream. Each transmitter 418 converts the baseband multi-carrier symbol stream provided by the multi-antenna transmit processor 471 into a radio frequency stream, and then provides it to different antennas 420.

[0511] In the transmission from the first communication device 410 to the second communication device 450, at the second communication device 450, each receiver 454 receives a signal through its corresponding antenna 452. Each receiver 454 recovers the information modulated onto the RF carrier and converts the RF stream into a baseband multi-carrier symbol stream and provides it to the receiving processor 456. The receiving processor 456 and the multi-antenna receiving processor 458 implement various signal processing functions of the L1 layer. The multi-antenna receiving processor 458 performs a receiving analog precoding / beamforming operation on the baseband multi-carrier symbol stream from the receiver 454. The receiving processor 456 uses a fast Fourier transform (FFT) to convert the baseband multi-carrier symbol stream after the receiving analog precoding / beamforming operation from the time domain to the frequency domain. In the frequency domain, the physical layer data signal and the reference signal are demultiplexed by the receiving processor 456, wherein the reference signal will be used for channel estimation, and the data signal is recovered after multi-antenna detection in the multi-antenna receiving processor 458 to any parallel stream destined for the second communication device 450. The symbols on each parallel stream are demodulated and recovered in the receiving processor 456, and soft decisions are generated. The receiving processor 456 then decodes and deinterleaves the soft decisions to recover the upper layer data and control signals transmitted by the first communication device 410 on the physical channel. The upper layer data and control signals are then provided to the controller / processor 459. The controller / processor 459 implements the functions of the L2 layer. The controller / processor 459 may be associated with a memory 460 storing program codes and data. The memory 460 may be referred to as a computer-readable medium. In DL, the controller / processor 459 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transmission and logical channels to recover the upper layer data packets from the core network. The upper layer data packets are then provided to all protocol layers above the L2 layer. Various control signals may also be provided to L3 for L3 processing. The controller / processor 459 is also responsible for error detection using confirmation (ACK) and / or negative confirmation (NACK) protocols to support HARQ operations.

[0512] In the transmission from the second communication device 450 to the first communication device 410, at the second communication device 450, a data source 467 is used to provide upper layer data packets to the controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmission function at the first communication device 410 described in DL, the controller / processor 459 implements header compression, encryption, packet segmentation and reordering, and multiplexing between logical and transport channels based on the radio resource allocation of the first communication device 410, and implements L2 layer functions for the user plane and the control plane. The controller / processor 459 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the first communication device 410. The transmit processor 468 performs modulation mapping and channel coding processing, and the multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based precoding and non-codebook-based precoding, and beamforming processing. Then, the transmit processor 468 modulates the generated parallel stream into a multi-carrier / single-carrier symbol stream, which is then provided to different antennas 452 via the transmitter 454 after analog precoding / beamforming operations in the multi-antenna transmit processor 457. Each transmitter 454 first converts the baseband symbol stream provided by the multi-antenna transmit processor 457 into a radio frequency symbol stream, and then provides it to the antenna 452.

[0513] In the transmission from the second communication device 450 to the first communication device 410, the function at the first communication device 410 is similar to the reception function at the second communication device 450 described in the transmission from the first communication device 410 to the second communication device 450. Each receiver 418 receives a radio frequency signal through its corresponding antenna 420, converts the received radio frequency signal into a baseband signal, and provides the baseband signal to the multi-antenna reception processor 472 and the reception processor 470. The reception processor 470 and the multi-antenna reception processor 472 jointly implement the functions of the L1 layer. The controller / processor 475 implements the L2 layer functions. The controller / processor 475 can be associated with a memory 476 that stores program codes and data. The memory 476 can be referred to as a computer-readable medium. The controller / processor 475 provides demultiplexing between transmission and logical channels, packet reassembly, decryption, header decompression, control signal processing to recover the upper layer data packets from the second communication device 450. The upper layer data packets from the controller / processor 475 can be provided to the core network. The controller / processor 475 is also responsible for error detection using an ACK and / or NACK protocol to support HARQ operations.

[0514] As an embodiment, the second communication device 450 includes: at least one processor and at least one memory, the at least one memory includes computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor. The second communication device 450 device at least: receives the first configuration information block; updates the first report; sends the first report information. The first configuration information block indicates M1 RS resources and M2 RS resources, and the M1 and the M2 are positive integers greater than 1 respectively; the first report information depends on the output of the first operation and the measurement of the M2 RS resources, and the input of the first operation depends on the measurement of the M1 RS resources; the first configuration information block is used to configure the first report, and the first report occupies P1 processing units starting from the first symbol and occupies P2 processing units starting from the second symbol, and the P1 and the P2 are positive integers respectively, and the P1 and the P2 are determined separately.

[0515] As an embodiment, the second communication device 450 includes: a memory storing a computer-readable instruction program, wherein the computer-readable instruction program generates actions when executed by at least one processor, and the actions include: receiving the first configuration information block; updating the first report; and sending the first report information.

[0516] As an embodiment, the first communication device 410 includes: at least one processor and at least one memory, the at least one memory includes computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor. The first communication device 410 device at least: sends the first configuration information block; receives the first reporting information. The first configuration information block indicates M1 RS resources and M2 RS resources, and the M1 and the M2 are positive integers greater than 1 respectively; the first reporting information depends on the output of the first operation and the measurement of the M2 RS resources, and the input of the first operation depends on the measurement of the M1 RS resources; the sender of the first reporting information updates the first report, and the first configuration information block is used to configure the first report; the first report occupies P1 processing units starting from the first symbol and occupies P2 processing units starting from the second symbol, and the P1 and the P2 are positive integers respectively, and the P1 and the P2 are determined separately.

[0517] As an embodiment, the first communication device 410 includes: a memory storing a computer-readable instruction program, wherein the computer-readable instruction program generates an action when executed by at least one processor, and the action includes: sending the first configuration information block; receiving the first reporting information.

[0518] As an embodiment, the first node in the present application includes the second communication device 450.

[0519] As an embodiment, the second node in the present application includes the first communication device 410.

[0520] As an embodiment, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first configuration information block; and at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to send the first configuration information block.

[0521] As an embodiment, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, the data source 467} is used to update the first report.

[0522] As an 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, and the memory 476} is used to receive the first reporting information; and 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, and the data source 467} is used to send the first reporting information.

[0523] As an embodiment, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first signaling; and at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to send the first signaling.

[0524] Example 5

[0525] Embodiment 5 illustrates a flow chart of transmission according to an embodiment of the present application; Figure 5 As shown in the attached Figure 5In the embodiment, the second node U1 and the first node U2 are communication nodes transmitted via the air interface. Figure 5 In the process, the steps in box F51 and box F52 are respectively optional.

[0526] For the second node U1, a first configuration information block is sent in step S511; a first signaling is sent in step S5101; and first reporting information is received in step S512.

[0527] 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 report is updated in step S522; and a first report information is sent in step S523.

[0528] In embodiment 5, the first configuration information block indicates M1 RS resources and M2 RS resources, and the M1 and the M2 are positive integers greater than 1 respectively; the first configuration information block is used to configure the first report; the first reporting information depends on the output of the first operation and the measurement of the M2 RS resources, and the input of the first operation depends on the measurement of the M1 RS resources; the first report occupies P1 processing units starting from the first symbol and occupies P2 processing units starting from the second symbol, and the P1 and the P2 are positive integers respectively, and the P1 and the P2 are determined separately.

[0529] As an embodiment, the first node U2 is the first node in this application.

[0530] As an embodiment, the second node U1 is the second node in this application.

[0531] As an 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.

[0532] As an 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.

[0533] As an embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between user equipments.

[0534] As an embodiment, the second node U1 is a base station maintaining a service cell of the first node U2.

[0535] As an embodiment, the first configuration information block is transmitted on PDSCH (Physical Downlink Shared Channel).

[0536] As an embodiment, the first reporting information is transmitted on PUSCH (Physical Uplink Shared Channel).

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

[0538] As an embodiment, the first node obtains a channel measurement for calculating the first reporting information based on a transmission timing of the M1 RS resources that is no later than a first reference time slot.

[0539] As an embodiment, for any RS resource among the M1 RS resources, the first node obtains the channel measurement for calculating the first reporting information only based on the transmission timing of this RS resource that is no later than the first reference time slot.

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

[0541] As an embodiment, the first node obtains the channel measurement used to calculate the first reporting information based on the transmission timing of the M2 RS resources no later than the first reference resource.

[0542] As an embodiment, for any RS resource among the M2 RS resources, the first node obtains the channel measurement for calculating the first reporting information only based on the transmission timing of this RS resource no later than the first reference time slot.

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

[0544] As an embodiment, the first reference time slot depends on the time domain resources of the first reporting information.

[0545] As an embodiment, the first reference time slot depends on n0 and a first offset, and the first reporting information is transmitted in time slot n1; the n0 depends on the n1, and the first offset is an integer.

[0546] As an embodiment, the first reference time slot is the time slot (n0-the first offset).

[0547] As an embodiment, the n0 depends on the downlink subcarrier spacing configuration.

[0548] As an embodiment, the n0 depends on the uplink subcarrier spacing configuration.

[0549] As an embodiment, the n0 depends on the product of the n1 and a first ratio, the first ratio is equal to the ratio of a first given integer power of 2 to a second given integer power of 2, the first given integer is equal to the downlink subcarrier spacing configuration, and the second given integer is equal to the uplink subcarrier spacing configuration.

[0550] As an embodiment, n0 is equal to the product of n1 and the first ratio rounded down.

[0551] As an embodiment, the n0 is equal to the product of the n1 and the first ratio rounded down plus a third offset; the third offset is an integer.

[0552] As a sub-embodiment of the above embodiment, the third offset depends on a higher layer parameter "ca-SlotOffset".

[0553] As a sub-embodiment of the above embodiment, the third offset depends on the downlink subcarrier spacing configuration.

[0554] As a sub-embodiment of the above embodiment, the third offset is equal to a first given value rounded down, the first given value is linearly related to a first given integer power of 2, and the first given integer is equal to the downlink subcarrier spacing configuration.

[0555] As an embodiment, the first offset depends on the downlink subcarrier spacing configuration.

[0556] As an embodiment, the first reporting is non-periodic, and the first offset makes the first reference time slot and the first signaling in the same valid downlink time slot.

[0557] As an embodiment, the first offset is a minimum value that is greater than or equal to a first threshold and makes the time slot (n0-the first offset) correspond to a valid downlink time slot; the first threshold is an integer.

[0558] As a sub-embodiment of the above embodiment, the first threshold is related to the downlink subcarrier spacing configuration.

[0559] As a sub-embodiment of the above embodiment, the first threshold is related to a delay requirement.

[0560] As an embodiment, the first reference time slot is the time slot (n0-the first offset-the second offset), and the second offset is a positive integer.

[0561] As a sub-embodiment of the above embodiment, the second offset depends on a higher layer parameter "CellSpecificKoffset".

[0562] As a sub-embodiment of the above embodiment, the second offset depends on a Differential KoffsetMACCE command.

[0563] As a sub-embodiment of the above embodiment, the second offset depends on the downlink subcarrier spacing configuration.

[0564] As an embodiment, the subcarrier spacing configuration of the M1 RS resources is the downlink subcarrier spacing configuration.

[0565] As an embodiment, the subcarrier spacing configuration of the M2 RS resources is the downlink subcarrier spacing configuration.

[0566] As an embodiment, the subcarrier spacing configuration of the first reporting information is the uplink subcarrier spacing configuration.

[0567] As an embodiment, the downlink subcarrier spacing configuration is a non-negative integer.

[0568] As an embodiment, the downlink subcarrier spacing configuration has no unit.

[0569] As an embodiment, the uplink subcarrier spacing configuration is a non-negative integer.

[0570] As an embodiment, the uplink subcarrier spacing configuration has no unit.

[0571] As an embodiment, the subcarrier spacing of the downlink signal is equal to 2 raised to the power of the downlink subcarrier spacing configuration multiplied by 15 kHz.

[0572] As an embodiment, the subcarrier spacing of the uplink signal is equal to 2 raised to the power of the uplink subcarrier spacing configuration multiplied by 15 kHz.

[0573] As an example, Figure 5 The step in box F51 in the above-mentioned method in the first node used for wireless communication includes deploying the first operation.

[0574] As an embodiment, the deployment of the first operation is earlier than the reception of the first configuration information block.

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

[0576] As an embodiment, the first operation requires deployment.

[0577] As an embodiment, the benefits of the above approach include supporting joint training and optimization, which further improves performance.

[0578] As an example, Figure 5 The step in box F51 does not exist, and the first operation does not require deployment.

[0579] As an embodiment, the first operation is trained by the first node, and the first operation does not need to be deployed.

[0580] As an embodiment, the advantages of the above method include more flexible adaptation to different terminals and reduced air interface overhead.

[0581] As an embodiment, N first-type CSIs depend on the output of the first operation, and the N first-type CSIs are respectively for N time slot intervals, and any time slot interval of the N time slot intervals includes one or more time slots; N second-type CSIs respectively rely on measurements for N groups of transmission opportunities, and any group of transmission opportunities in the N groups of transmission opportunities includes the transmission opportunities of part or all of the M2 RS resources; N is a positive integer.

[0582] As an embodiment, the N time slot intervals are mutually orthogonal in the time domain.

[0583] As an embodiment, the N groups of transmission opportunities are mutually orthogonal in the time domain.

[0584] As an embodiment, one of the N groups of transmission opportunities includes two transmission opportunities that overlap in the time domain.

[0585] As an embodiment, any group of transmission opportunities in the N groups of transmission opportunities includes two transmission opportunities that overlap in the time domain.

[0586] As an embodiment, the transmission opportunities in any group of transmission opportunities in the N groups of transmission opportunities are mutually orthogonal in the time domain.

[0587] As an embodiment, the N groups of transmission opportunities are respectively located in the N time slot intervals in the time domain.

[0588] As an embodiment, any group of transmission opportunities among the N groups of transmission opportunities includes one transmission opportunity for each of the M2 RS resources.

[0589] As an embodiment, any one of the N groups of transmission opportunities includes one transmission opportunity for each RS resource in only a portion of the M2 RS resources.

[0590] As an embodiment, the first reporting information includes the N first-category CSIs and the N second-category CSIs.

[0591] As an embodiment, the benefits of the above method include reporting CSI to assist the network side in computing performance metrics, supporting joint optimization, and further improving system performance.

[0592] As an embodiment, the first reporting information does not include the N first-category CSIs and the N second-category CSIs.

[0593] As an embodiment, the first reporting information depends on the N first-category CSIs and the N second-category CSIs.

[0594] As an embodiment, the first reporting information includes a first performance metric, and the first performance metric depends on the N first-category CSIs and the N second-category CSIs.

[0595] As an embodiment, the first reporting information includes a first performance metric, the first performance metric depends on the N first-category CSIs and the N second-category CSIs, and the first reporting information does not include the N first-category CSIs and the N second-category CSIs.

[0596] As an embodiment, the benefits of the above method include that performance metrics are reported instead of CSI, thereby reducing reporting overhead.

[0597] As an embodiment, the benefits of the above method include that the UE has a higher degree of freedom and supports more different terminals.

[0598] As an embodiment, calculation of the first performance metric depends on the N first-category CSIs and the N second-category CSIs.

[0599] As an embodiment, the N first-category CSIs and the N second-category CSIs all depend on the first configuration information block.

[0600] As an embodiment, the N depends on the first configuration information block.

[0601] As an embodiment, the first configuration information block indicates the N.

[0602] As an embodiment, which feedback amounts the N first-category CSIs include depends on the first configuration information block.

[0603] As an embodiment, the first configuration information block indicates which feedback quantities the N first-category CSIs include.

[0604] As an embodiment, which feedback amounts the N second-category CSIs include depends on the first configuration information block.

[0605] As an embodiment, the first configuration information block indicates which feedback quantities the N second-category CSIs include.

[0606] As an embodiment, any transmission opportunity in the N groups of transmission opportunities is the latest transmission opportunity of the corresponding RS resource that is no later than the first reference time slot.

[0607] As an embodiment, for the M2 RS resources, the first node obtains channel measurement for calculating the first reporting information only based on the N groups of transmission opportunities.

[0608] As an embodiment, for any RS resource among the M2 RS resources, the first node obtains the channel measurement for calculating the first reporting information only based on the transmission timing of this RS resource in the N groups of transmission timings.

[0609] As an embodiment, the first node obtains a channel measurement for calculating the first reporting information based on a transmission timing of the M1 RS resources that is no later than the N groups of transmission timings.

[0610] As an embodiment, for any RS resource among the M1 RS resources, the first node obtains the channel measurement for calculating the first reporting information only based on the transmission timing of this RS resource that is no later than the N groups of transmission timings.

[0611] As an embodiment, for any RS resource among the M1 RS resources, the first node obtains the channel measurement for calculating the first reporting information only based on a most recent transmission timing of this RS resource that is no later than the N groups of transmission timings.

[0612] As an embodiment, no later than the N groups of transmission opportunities means no later than the earliest transmission opportunity among the N groups of transmission opportunities.

[0613] As an embodiment, no later than the N groups of transmission opportunities means no later than the latest transmission opportunity among the N groups of transmission opportunities.

[0614] As an embodiment, the P1 depends on the N.

[0615] As an embodiment, the P1 depends on the M1.

[0616] As an embodiment, the P2 is fixed.

[0617] As an embodiment, the P2 depends on the N.

[0618] As an embodiment, the P2 depends on the M2.

[0619] As an embodiment, the P1 depends on a first component, and the first component is related to the first operation.

[0620] As an embodiment, the first configuration information block indicates a first identifier, and the first operation is associated with the first identifier.

[0621] As an embodiment, whether there are RS resources in the M1 RS resources and RS resources in the M2 RS resources that have the same quasi-co-location relationship is related to the capability of the first node U2.

[0622] As an example, Figure 5 The step in box F52 exists, and the first signaling triggers the first reporting information.

[0623] As an embodiment, the first signaling is transmitted on PDCCH (Physical Downlink Control Channel).

[0624] As an embodiment, the first symbol depends on the M1 RS resources, and the second symbol depends on the M2 RS resources.

[0625] As an embodiment, the first report occupies the P1 processing units starting from the first symbol to the third symbol, and the first report occupies the P2 processing units starting from the second symbol to the fourth symbol.

[0626] Example 6

[0627] Embodiment 6 illustrates a schematic diagram of M1 RS resources and M2 RS resources according to an embodiment of the present application; Figure 6 In Embodiment 6, the M1 RS resources are periodic or quasi-static, and the length of the period of each RS resource in the M1 RS resources is a first period length; the M2 RS resources are periodic or quasi-static, and the length of the period of each RS resource in the M2 RS resources is a second period length; and the first period length is greater than the second period length.

[0628] As an embodiment, the first cycle length is a positive integer multiple of the second cycle length.

[0629] As an embodiment, the length of the first cycle is N times the length of the second cycle.

[0630] As an embodiment, the N groups of transmission opportunities include the transmission opportunities of each RS resource in the M2 RS resources in N consecutive periods.

[0631] As an embodiment, any RS resource among the M1 RS resources is different from any RS resource among the M2 RS resources.

[0632] As an embodiment, any RS resource among the M2 RS resources is different from any RS resource among the M1 RS resources.

[0633] Example 7

[0634] Embodiment 7 illustrates a schematic diagram of M1 RS resources and M2 RS resources according to an embodiment of the present application; Figure 7 In Embodiment 7, the M1 RS resources are periodic or quasi-static, and the M2 RS resources are periodic or quasi-static; some of the RS resources in the M1 RS resources belong to the M2 RS resources, and the length of the period of any RS resource in the M1 RS resources that does not belong to the M2 RS resources is the first period length; the length of the period of each RS resource in the M2 RS resources is the second period length; and the first period length is greater than the second period length.

[0635] As an embodiment, the first cycle length is a positive integer multiple of the second cycle length.

[0636] As an embodiment, the length of the first cycle is N times the length of the second cycle.

[0637] As an embodiment, the N groups of transmission opportunities include the transmission opportunities of each RS resource in the M2 RS resources in N consecutive periods.

[0638] As an embodiment, the first RS resource set includes the M1 RS resources, the second RS resource set includes the M2 RS resources, and some of the RS resources in the M1 RS resources belong to the M2 RS resources.

[0639] As a sub-embodiment of the above embodiment, the part of RS resources is a common part of the first RS resource set and the second RS resource set.

[0640] As a sub-embodiment of the above embodiment, a period of the part of RS resources in the first RS resource set is different from a period of the M1 RS resources in the second RS resource set.

[0641] As a sub-embodiment of the above embodiment, when the first RS resource set and the second RS resource set overlap in the time domain, the part of RS resources is sent only once.

[0642] Example 8

[0643] Embodiment 8 illustrates a schematic diagram of M1 RS resources and M2 RS resources according to an embodiment of the present application; Figure 8 As shown. In Embodiment 8, the M1 RS resources are periodic or quasi-static, and the length of the period of each RS resource in the M1 RS resources is the first period length; the M2 RS resources are periodic or quasi-static, and the M2 RS resources include N RS resource groups, and each RS resource group in the N RS resource groups includes part of the RS resources in the M2 RS resources, and the length of the period of each RS resource in the M2 RS resources is the first period length.

[0644] In the attached Figure 8 In the figure, the N RS resource groups are respectively represented as RS resource group #0, ..., RS resource group #(N-1).

[0645] As an embodiment, the N RS resource groups are mutually orthogonal in the time domain.

[0646] Example 9

[0647] Embodiment 9 illustrates a schematic diagram of M1 RS resources and M2 RS resources according to an embodiment of the present application; Fig. 9 In Embodiment 9, the M1 RS resources are periodic or quasi-static, and the length of the period of each RS resource in the M1 RS resources is the first period length; the M2 RS resources are non-periodic, and the first signaling triggers the N groups of transmission opportunities.

[0648] In the attached Fig. 9 In the figure, the N groups of transmission opportunities are respectively represented as transmission opportunity group #0, ..., transmission opportunity group #(N-1).

[0649] As an embodiment, the first signaling triggers the M2 RS resources.

[0650] As an embodiment, the first signaling triggers N transmissions of each of the M2 RS resources.

[0651] As a sub-embodiment of the above embodiment, the interval between the earliest symbol and the latest symbol in the N transmissions is not greater than the first cycle length.

[0652] As a sub-embodiment of the above embodiment, the N transmissions are located in the same period of any RS resource among the M1 RS resources in the time domain.

[0653] As an embodiment, the interval between the earliest symbol and the latest symbol in the N groups of transmission opportunities is not greater than the first cycle length.

[0654] As an embodiment, the N groups of transmission opportunities are located within the same period of any RS resource among the M1 RS resources in the time domain.

[0655] As an embodiment, the first signaling indicates the time domain resources of the N groups of transmission opportunities.

[0656] As an embodiment, the N groups of transmission opportunities belong to the N time slot intervals in the time domain respectively.

[0657] As an embodiment, the first signaling indicates the time domain resources of the N groups of transmission opportunities, so that the N groups of transmission opportunities belong to the N time slot intervals in the time domain respectively.

[0658] Example 10

[0659] Embodiment 10 illustrates a schematic diagram of M1 RS resources and M2 RS resources according to an embodiment of the present application; Fig.10 In embodiment 10, the M1 RS resources are periodic or quasi-static, and the length of the period of each RS resource in the M1 RS resources is the first period length; the M2 RS resources are non-periodic, and the M2 RS resources include N RS resource groups, and each RS resource group in the N RS resource groups includes some RS resources in the M2 RS resources.

[0660] In the attached Fig.10 In the figure, the N RS resource groups are respectively represented as RS resource group #0, ..., RS resource group #(N-1).

[0661] As an embodiment, the first signaling triggers a transmission of each of the M2 RS resources.

[0662] As an embodiment, the N RS resource groups are mutually orthogonal in the time domain.

[0663] Embodiment 11

[0664] Embodiment 11 illustrates a schematic diagram of deploying a first operation according to an embodiment of the present application, as shown in the attached Fig.11As shown; in Example 11, the first node makes a request to load the first operation to the first producer (producer), and obtains the first operation from the first producer.

[0665] As an embodiment, the deployment includes obtaining the first operation.

[0666] As an embodiment, the deploying includes obtaining an AI entity.

[0667] As an embodiment, the deploying includes obtaining an AI entity that performs the first operation.

[0668] As an embodiment, the deploying includes obtaining an AI entity including an AI function for performing the first operation.

[0669] As an embodiment, the deploying includes obtaining an AI function.

[0670] As an embodiment, the deploying includes obtaining an AI function for performing the first operation.

[0671] As an embodiment, the deploying includes loading the first operation.

[0672] As an embodiment, the deploying includes making a request to load the first operation.

[0673] As an example, Fig.11 The request in is a request made by the first node to load the first operation.

[0674] As an example, Fig.11 The response in is a response to the request for loading the first operation made by the first node.

[0675] As an embodiment, the first node is connected Fig.11 The first operation is obtained in response to the above.

[0676] As an embodiment, the first node is connected Fig.11 The response in the model obtains the first operation.

[0677] As an embodiment, the first node is connected Fig.11 The response in the step of obtaining an AI entity including an AI function for performing the first operation.

[0678] As an embodiment, the first node is connected Fig.11 The response in obtains the AI ​​function that performs the first operation.

[0679] As an embodiment, the first producer attaches Fig.11 The response in provides the first operation to the first node.

[0680] As an embodiment, the first producer attaches Fig.11 The response in provides a model of the first operation to the first node.

[0681] As an embodiment, the first producer attaches Fig.11 The response in provides an AI entity including an AI function for performing the first operation to the first node.

[0682] As an embodiment, the first producer attaches Fig.11 The response in provides the first node with an AI function for performing the first operation.

[0683] As an embodiment, the deployment is performed by an AI function.

[0684] As an embodiment, the deployment is completed by an AI function deployed on the first node.

[0685] As an embodiment, the deployment is performed by an AI deployment function.

[0686] As an embodiment, the deployment is completed by an AI deployment function deployed on the first node.

[0687] As an embodiment, the deployment is performed by AI inference function.

[0688] As an embodiment, the deployment is accomplished by an AI inference function deployed on the first node.

[0689] As an embodiment, the deployment is performed by an AI entity.

[0690] As an embodiment, the deployment is completed by an AI entity deployed on the first node.

[0691] As an embodiment, the deployment is completed by an AI entity having a deployment function.

[0692] As an embodiment, the deployment is completed by an AI entity with deployment function deployed on the first node.

[0693] As an embodiment, the deployment is performed by an AI entity having an inference function.

[0694] As an embodiment, the deployment is completed by an AI entity with inference function deployed on the first node.

[0695] As an embodiment, the deploying includes obtaining the first operation from a first producer.

[0696] As an embodiment, the deploying includes making a request to a first producer to load the first operation.

[0697] As an embodiment, the deploying includes loading the first operation from a first producer.

[0698] As an embodiment, the first producer generates and provides an AI model.

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

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

[0701] As an embodiment, the first producer is a producer of the first operation.

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

[0703] As an embodiment, the first producer includes an AI entity producer.

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

[0705] As an embodiment, the first producer includes an AI deployment producer (producer).

[0706] As an embodiment, the first producer includes an AI loading producer (producer).

[0707] As an embodiment, the first producer includes an AI training producer (producer).

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

[0709] As an embodiment, the first producer includes a producer of deployment of an AI entity.

[0710] As an embodiment, the first producer comprises a producer of loading of an AI entity.

[0711] As an embodiment, the first producer includes a producer of AI model training.

[0712] As an embodiment, the first producer includes a MnS (Management Service) producer.

[0713] As an embodiment, the first producer is a serving cell of the first node.

[0714] As an embodiment, the first producer is a base station maintaining a service cell of the first node.

[0715] As an embodiment, the first producer is a core network.

[0716] As an embodiment, the first producer is a sender of the first configuration information block.

[0717] As an embodiment, the first producer is different from the sender of the first configuration information block.

[0718] As an embodiment, the training of the first operation is performed by the first producer.

[0719] Example 12

[0720] Embodiment 12 illustrates a schematic diagram of N first-type CSIs depending on the output of the first operation according to an embodiment of the present application; Fig.12 shown.

[0721] As an embodiment, the N is configurable.

[0722] As an embodiment, the N is configured by higher layer signaling.

[0723] As an embodiment, the N is configured by RRC signaling.

[0724] As an embodiment, the N is configured by the first configuration information block.

[0725] As an embodiment, the N is configured for the first operation.

[0726] As an embodiment, N is greater than 1.

[0727] As an embodiment, N is equal to 1.

[0728] As an embodiment, the first type of CSI includes at least one of CRI, SSBRI and RSRP.

[0729] As an embodiment, the first type of CSI includes CRI.

[0730] As an embodiment, the first type of CSI includes SSBRI.

[0731] As an embodiment, the first type of CSI includes RSRP.

[0732] As an embodiment, the first type of CSI includes CRI and RSRP.

[0733] As an embodiment, the first type of CSI includes SSBRI and RSRP.

[0734] As an embodiment, the first type of CSI includes at least one of predicted CRI, predicted SSBRI and predicted RSRP.

[0735] As an embodiment, the first type of CSI includes predicted CRI.

[0736] As an embodiment, the first type of CSI includes predicted SSBRI.

[0737] As an embodiment, the first type of CSI includes predicted CRI and predicted RSRP.

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

[0739] As an embodiment, any first-category CSI among the N first-category CSIs includes K1 RS resource identifiers, where K1 is a positive integer.

[0740] As an embodiment, any first-category CSI among the N first-category CSIs includes K1 RS resource identifiers and K1 RSRPs.

[0741] As a sub-embodiment of the above embodiment, the K1 RSRPs are respectively RSRPs of RSs identified by the K1 RS resource identifiers.

[0742] As an embodiment, the RS resource identified by at least one RS resource identifier among the K1 RS resource identifiers does not belong to the M1 RS resources.

[0743] As an embodiment, the RS resource identified by any RS resource identifier among the K1 RS resource identifiers does not belong to the M1 RS resources.

[0744] As an embodiment, the RS resource identified by at least one RS resource identifier among the K1 RS resource identifiers belongs to the M2 RS resources.

[0745] As an embodiment, the RS resource identified by any RS resource identifier among the K1 RS resource identifiers belongs to the M2 RS resources.

[0746] As an embodiment, the RS resource identifier includes CRI.

[0747] As an embodiment, the RS resource identifier includes SSBRI.

[0748] As an embodiment, the RS resource identifier is CRI or SSBRI.

[0749] As an embodiment, K1 is configurable.

[0750] As an embodiment, the K1 is configured by higher layer signaling.

[0751] As an embodiment, the K1 is configured by RRC signaling.

[0752] As an embodiment, the K1 is configured by the first configuration information block.

[0753] As an embodiment, the K1 is configured for the first operation.

[0754] As an embodiment, K1 is greater than 1.

[0755] As an embodiment, K1 is equal to 1.

[0756] As an embodiment, the output of the first operation includes the N first-category CSIs.

[0757] As an embodiment, the N first-category CSIs being dependent on the output of the first operation means that the output of the first operation includes the N first-category CSIs.

[0758] As an embodiment, the output of the first operation is quantized to obtain the N first-category CSIs.

[0759] As an embodiment, the N first-type CSIs include CRI or SSBRI included in the output of the first operation, and include quantized RSRP included in the output of the first operation.

[0760] Example 13

[0761] Embodiment 13 illustrates a schematic diagram of N first-type CSIs for N time slot intervals according to an embodiment of the present application; Fig.13 As shown in the attached Fig.13 In the figure, the N first-category CSIs are respectively represented as first-category CSI#0, ..., first-category CSI#(N-1); the N time slot intervals are respectively represented as time slot interval#0, ..., time slot interval#(N-1).

[0762] As an embodiment, the N first-category CSIs are respectively associated with the N time slot intervals.

[0763] As an embodiment, the N first-category CSIs are respectively CSIs within the N time slot intervals.

[0764] As an embodiment, the N first-category CSIs are respectively predicted CSIs within the N time slot intervals.

[0765] As an embodiment, the prediction includes spatial prediction.

[0766] As an embodiment, the prediction includes time prediction.

[0767] As an embodiment, the prediction includes spatial prediction and temporal prediction.

[0768] As an embodiment, the N first-category CSIs respectively include RS resource identifiers for the N time slot intervals.

[0769] As an embodiment, the N first-category CSIs respectively include RS resource identifiers and RSRPs for the N time slot intervals.

[0770] As an embodiment, the N first-category CSIs respectively include predicted RS resource identifiers for the N time slot intervals.

[0771] As an embodiment, the N first-category CSIs respectively include predicted RS resource identifiers and RSRPs for the N time slot intervals.

[0772] As an embodiment, the N first-type CSIs respectively indicate predicted beams for the N time slot intervals.

[0773] As an embodiment, the N first-type CSIs respectively indicate predicted beams and RSRPs for the N time slot intervals.

[0774] As an embodiment, the N time slot intervals are mutually orthogonal in pairs.

[0775] As an embodiment, any time slot interval among the N time slot intervals includes one or more continuous time slots.

[0776] As an embodiment, any two time slot intervals among the N time slot intervals include an equal number of time slots.

[0777] As an embodiment, the number of time slots included in each of the N time slot intervals is equal to d, and d is configurable.

[0778] As a sub-embodiment of the above embodiment, the d is configured by higher-layer signaling.

[0779] As a sub-embodiment of the above embodiment, the d is configured by RRC signaling.

[0780] As a sub-embodiment of the above embodiment, the d is configured by the first configuration information block.

[0781] As a sub-embodiment of the above embodiment, the d is configured for the first operation.

[0782] As an embodiment, the N time slot intervals are continuous in the time domain.

[0783] As an embodiment, the earliest time slot in the N time slot interval depends on a first transmission timing set, and the first transmission timing set includes a transmission timing for each of the M1 RS resources, and the first transmission timing set is the nearest transmission timing of the M1 RS resources for obtaining channel measurement for calculating the first reporting information.

[0784] As an embodiment, for any RS resource among the M1 RS resources, the transmission timing of this RS resource in the first transmission timing set is the most recent transmission timing of this RS resource for obtaining channel measurement for calculating the first reporting information.

[0785] As an embodiment, the earliest time slot in the N time slot intervals depends on the time slot to which the earliest transmission opportunity in the first transmission opportunity set belongs.

[0786] As an embodiment, the earliest time slot in the N time slot intervals depends on the time slot to which the latest transmission opportunity in the first transmission opportunity set belongs.

[0787] As an embodiment, the earliest time slot in the N time slot intervals is time slot (t1+fourth offset), the fourth offset is an integer, and the t1 depends on the first transmission opportunity set.

[0788] As a sub-embodiment of the above embodiment, the latest transmission opportunity in the first transmission opportunity set is in time slot t1.

[0789] As a sub-embodiment of the above embodiment, the earliest transmission opportunity in the first transmission opportunity set is in time slot t1.

[0790] As an embodiment, the earliest time slot in the N time slot intervals depends on the time domain resources of the first reporting information.

[0791] As an embodiment, the earliest time slot in the N time slot intervals is time slot (n1+fourth offset), the fourth offset is an integer, and the first reporting information is transmitted in time slot n1.

[0792] As an embodiment, the fourth offset is a positive integer.

[0793] As an embodiment, the fourth offset is equal to 0.

[0794] As an embodiment, the fourth offset is configurable.

[0795] As an embodiment, the fourth offset is configured by higher layer signaling.

[0796] As an embodiment, the fourth offset is configured by RRC signaling.

[0797] As an embodiment, the fourth offset is configured by the first configuration information block.

[0798] As an embodiment, the fourth offset is configured for the first operation.

[0799] As an embodiment, the earliest time slot in the N time slot intervals depends on the first reference time slot.

[0800] As an embodiment, the earliest time slot in the N time slot intervals is the first reference time slot.

[0801] As an embodiment, the j-th time slot interval among the N time slot intervals includes time slots (l+j·d),…, time slots (l+(j+1)·d-1), where j=0,…,N-1, the earliest time slot among the N time slot intervals is time slot l, and d is the number of time slots included in each of the N time slot intervals.

[0802] As an embodiment, the first transmission opportunity set is the latest transmission opportunity of the M1 RS resources that is no later than the first reference time slot.

[0803] As an embodiment, for any RS resource among the M1 RS resources, the transmission timing of this RS resource in the first transmission timing set is the latest transmission timing of this RS resource that is no later than the first reference time slot.

[0804] As an embodiment, the first transmission opportunity set is a latest transmission opportunity of the M1 RS resources that is no later than the N groups of transmission opportunities.

[0805] As an embodiment, for any RS resource among the M1 RS resources, the transmission timing of this RS resource in the first transmission timing set is the latest transmission timing of this RS resource that is no later than the N groups of transmission timings.

[0806] As an embodiment, the embodiment of the first reference time slot refers to embodiment 5.

[0807] Embodiment 14

[0808] Embodiment 14 illustrates a schematic diagram of N groups of transmission opportunities according to an embodiment of the present application; Fig.14 In Embodiment 14, any one of the N groups of transmission opportunities includes one transmission opportunity for each of the M2 RS resources. Fig.14 In the figure, the N groups of transmission opportunities are respectively represented as transmission opportunity group #0, ..., transmission opportunity group #(N-1).

[0809] As an embodiment, any group of transmission opportunities in the N groups of transmission opportunities consists of one transmission opportunity for each of the M2 RS resources.

[0810] As an embodiment, the N groups of transmission opportunities are the N groups of most recent transmission opportunities of the M2 RS resources that are no later than the first reference time slot.

[0811] As an embodiment, for any RS resource among the M2 RS resources, the N groups of transmission opportunities respectively include N consecutive transmission opportunities of this RS resource, and the latest transmission opportunity among the N consecutive transmission opportunities is the most recent transmission opportunity of this RS resource that is no later than the first reference time slot.

[0812] As an embodiment, the embodiment of the first reference time slot refers to embodiment 5.

[0813] As an embodiment, the N groups of transmission opportunities respectively belong to the N time slot intervals.

[0814] Embodiment 15

[0815] Embodiment 15 illustrates a schematic diagram of N groups of transmission opportunities according to an embodiment of the present application; Fig.15 In Embodiment 15, the N groups of transmission opportunities correspond to the N RS resource groups one by one, any one of the N RS resource groups includes some RS resources in the M2 RS resources, and any one of the N groups of transmission opportunities includes one transmission opportunity for each RS resource in the corresponding RS resource group; the number of RS resources included in each of the N RS resource groups is equal to M3, and the product of N and M3 is equal to M2.

[0816] In the attached Fig.15 In the figure, the N groups of transmission opportunities are respectively represented as transmission opportunity group #0, ..., transmission opportunity group #(N-1).

[0817] As an embodiment, any group of transmission opportunities in the N groups of transmission opportunities consists of one transmission opportunity for each RS resource in the corresponding RS resource group.

[0818] As an embodiment, there is no RS resource among the M2 RS resources that belongs to two RS resource groups among the N RS resource groups at the same time.

[0819] As an embodiment, any RS resource among the M2 RS resources belongs to one RS resource group among the N RS resource groups.

[0820] As an embodiment, any RS resource group among the N RS resource groups is a CSI-RS resource set or a CSI SSB resource set.

[0821] As an embodiment, the N RS resource groups are respectively N CSI-RS resource sets or N CSI SSB resource sets.

[0822] As a sub-embodiment of the above embodiment, the configuration information block of any RS resource group among the N RS resource groups sequentially indicates the M3 RS resources included in this RS resource group.

[0823] As a reference embodiment of the above sub-embodiment, the configuration information block is NZP-CSI-RS-ResourceSet IE.

[0824] As a reference embodiment of the above sub-embodiment, the configuration information block is CSI-SSB-ResourceSetIE.

[0825] 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, the i-th RS resource in the first RS resource group and the i-th RS resource in the second RS resource group are quasi-co-located, and i is any positive integer not greater than M3.

[0826] 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, the antenna ports with the same port index of the i-th RS resource in the first RS resource group and the i-th RS resource in the second RS resource group are the same, and i is any positive integer not greater than M3.

[0827] 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 the antenna ports with the same port index of the i-th RS resource in the first RS resource group and the i-th RS resource in the second RS resource group are the same, and i is any positive integer not greater than M3.

[0828] As an embodiment, the M2 RS resources include M3 RS resource sets, and the number of RS resources included in any one of the M3 RS resource sets is equal to N; and any one of the N RS resource groups is composed of one RS resource in each of the M3 RS resource sets.

[0829] As a sub-embodiment of the above embodiment, the earliest one of the N RS resource groups is composed of the first RS resource in each RS resource set in the M3 RS resource sets, the second earliest one of the N RS resource groups is composed of the second RS resource in each RS resource set in the M3 RS resource sets, and so on.

[0830] 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.

[0831] As an embodiment, the antenna ports with the same port index of the N RS resources included in any RS resource set among the M3 RS resource sets are the same.

[0832] As an embodiment, for any RS resource set among the M3 RS resource sets, the first node assumes that the antenna ports with the same port index of the N RS resources included in this RS resource set are the same.

[0833] Example 16

[0834] Embodiment 16 illustrates a schematic diagram of N second-type CSIs respectively depending on measurements for N groups of transmission opportunities according to an embodiment of the present application; Fig.16 As shown in the attached Fig.16 In the figure, the N second-category CSIs are respectively represented as second-category CSI#0, ..., second-category CSI#(N-1); the N groups of transmission opportunities are respectively represented as transmission opportunity group #0, ..., transmission opportunity group #(N-1).

[0835] As an embodiment, the second type of CSI includes at least one of CRI, SSBRI and RSRP.

[0836] As an embodiment, the second type of CSI includes CRI.

[0837] As an embodiment, the second type of CSI includes SSBRI.

[0838] As an embodiment, the second type of CSI includes RSRP.

[0839] As an embodiment, the second type of CSI includes CRI and RSRP.

[0840] As an embodiment, the second type of CSI includes SSBRI and RSRP.

[0841] As an embodiment, the second type of CSI includes at least one of a real CRI, a real SSBRI and a real RSRP.

[0842] As an embodiment, the real one refers to one obtained by measurement.

[0843] As an embodiment, the real refers to non-predicted.

[0844] As an embodiment, the second type of CSI includes the strongest CRI or the strongest SSBRI.

[0845] As an embodiment, the second type of CSI includes at least one of the strongest CRI, the strongest SSBRI and the strongest RSRP.

[0846] As an 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 the strongest CRI, the strongest SSBRI and the strongest RSRP.

[0847] As an embodiment, the first type of CSI includes predicted CRI or predicted SSBRI, and the second type of CSI includes the strongest CRI or the strongest SSBRI.

[0848] As an embodiment, the first type of CSI includes predicted CRI and predicted RSRP, and the second type of CSI includes the strongest CRI and the strongest RSRP.

[0849] As an embodiment, the first type of CSI includes predicted SSBRI and predicted RSRP, and the second type of CSI includes the strongest SSBRI and the strongest RSRP.

[0850] As an embodiment, the first type of CSI includes predicted beams, and the second type of CSI includes the strongest beams.

[0851] As an embodiment, the first type of CSI includes a predicted beam and a predicted RSRP, and the second type of CSI includes the strongest beam and the strongest RSRP.

[0852] As an embodiment, the N second-category CSIs respectively include CRI or SSBRI obtained based on the N groups of transmission opportunities.

[0853] As an embodiment, the N second-category CSIs respectively include CRI and RSRP obtained based on the N groups of transmission opportunities.

[0854] As an embodiment, the N second-category CSIs respectively include SSBRI and RSRP obtained based on the N groups of transmission opportunities.

[0855] As an embodiment, any second type of CSI among the N second type of CSIs includes K2 RS resource identifiers, where K2 is a positive integer.

[0856] As an embodiment, any second-category CSI among the N second-category CSIs includes K2 RS resource identifiers and K2 RSRPs, where K2 is a positive integer.

[0857] As a sub-embodiment of the above embodiment, the K2 RSRPs are respectively RSRPs of RS resources identified by the K2 RS resource identifiers.

[0858] As an embodiment, the RS resource identified by any one of the K2 RS resource identifiers is an RS resource among the M2 RS resources.

[0859] As an embodiment, K2 is configurable.

[0860] As an embodiment, the K2 is configured by higher layer signaling.

[0861] As an embodiment, the K2 is configured by RRC signaling.

[0862] As an embodiment, the K2 is configured by the first configuration information block.

[0863] As an embodiment, K2 is equal to 1.

[0864] As an embodiment, K2 is greater than 1.

[0865] As an embodiment, the K2 is smaller than the M2.

[0866] As an embodiment, the K2 is smaller than the M3.

[0867] As an embodiment, any group of transmission opportunities among the N groups of transmission opportunities includes a transmission opportunity for each of the M2 RS resources, and the K2 RS resource identifiers are respectively the CRI or SSBRI of the K2 RS resources with the highest RSRP among the M2 RS resources.

[0868] As an embodiment, any group of transmission opportunities among the N groups of transmission opportunities includes a transmission opportunity for each RS resource in one RS resource group among the N RS resource groups, and the K2 RS resource identifiers are respectively the CRI or SSBRI of the K2 RS resources with the highest RSRP in the corresponding RS resource group.

[0869] As an embodiment, any second type of CSI among the N second type of CSIs includes K3 RSRPs, where K3 is a positive integer.

[0870] As an embodiment, any second-category CSI among the N second-category CSIs includes K3 RSRPs and an RS resource identifier, and K3 is a positive integer.

[0871] As an embodiment, the K3 is equal to the M2, and the K3 RSRPs are respectively the RSRPs of the M2 RS resources.

[0872] As an embodiment, the K3 is equal to the M3, and the K3 RSRPs are respectively the RSRPs of the M3 RS resources included in the corresponding RS resource group.

[0873] As an embodiment, the one RS resource identifier is the CRI or SSBRI of the RS resource corresponding to the largest RSRP among the K3 RSRPs.

[0874] As an embodiment, K3 is configurable.

[0875] As an embodiment, the K3 is configured by higher layer signaling.

[0876] As an embodiment, the K3 is configured by RRC signaling.

[0877] As an embodiment, the K3 is configured by the first configuration information block.

[0878] As an embodiment, K3 is equal to M2.

[0879] As an embodiment, K3 is equal to M3.

[0880] Embodiment 17

[0881] Embodiment 17 illustrates a schematic diagram of N first-category CSIs and N second-category CSIs according to an embodiment of the present application; Fig.17 In Embodiment 17, the N first-category CSIs correspond to the N second-category CSIs one-to-one, the given first-category CSI is any first-category CSI among the N first-category CSIs, the given second-category CSI is the second-category CSI among the N second-category CSIs corresponding to the given first-category CSI, the given first-category CSI includes K1 RS resource identifiers, the given second-category CSI includes K2 RS resource identifiers, and K1 and K2 are positive integers respectively. Fig.17 In the figure, the N first-category CSIs are respectively represented as first-category CSI#0, ..., first-category CSI#(N-1); the N second-category CSIs are respectively represented as second-category CSI#0, ..., second-category CSI#(N-1).

[0882] As an embodiment, K1 is equal to K2.

[0883] As an embodiment, the K1 is greater than the K2.

[0884] As an embodiment, the K1 is smaller than the K2.

[0885] As an embodiment, K2 is greater than 1, and K1 is equal to 1.

[0886] As an embodiment, K2 is equal to 1, and K1 is greater than 1.

[0887] As an embodiment, K2 is equal to 1, and K1 is equal to 1.

[0888] As an embodiment, the RS resource identifier includes CRI or SSBRI.

[0889] As an embodiment, a group of transmission opportunities corresponding to any second type of CSI among the N second type of CSIs belongs to the time slot interval targeted by the corresponding first type of CSI in the time domain.

[0890] As an embodiment, the given first type CSI corresponds to a given time slot interval, the K1 RS resource identifiers are RS resource identifiers predicted for the given time slot interval, and the K2 RS resource identifiers are the strongest RS resource identifiers for the given time slot interval.

[0891] As a sub-embodiment of the above embodiment, the K1 RS resource identifiers indicate K1 predicted beams for the given time slot interval.

[0892] As a sub-embodiment of the above embodiment, the K2 RS resource identifiers are RS resource identifiers obtained based on the measurement of the RS transmitted in the given time slot interval.

[0893] As a sub-embodiment of the above embodiment, the K2 RS resource identifiers indicate the K2 strongest beams for the given time slot interval.

[0894] As an embodiment, the first reporting information includes the K1 RS resource identifiers and the K2 RS resource identifiers.

[0895] As an embodiment, the first reporting information depends on the K1 RS resource identifiers and the K2 RS resource identifiers.

[0896] As an embodiment, the first reporting information includes a first performance metric, and the first performance metric depends on the K1 RS resource identifiers and the K2 RS resource identifiers.

[0897] As an embodiment, the first performance metric depends on whether there are the same RS resource identifiers between the K1 RS resource identifiers and the K2 RS resource identifiers.

[0898] As an embodiment, the first performance metric depends on how many identical RS resource identifiers there are between the K1 RS resource identifiers and the K2 RS resource identifiers.

[0899] As an embodiment, the K1 is equal to 1, the K2 is equal to 1, and the first performance metric depends on whether the K1 RS resource identifiers are the same as the K2 RS resource identifiers.

[0900] As a sub-embodiment of the above embodiment, the first performance metric depends on the percentage of the K1 RS resource identifiers and the K2 RS resource identifiers being identical.

[0901] As an 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 identifiers include the K2 RS resource identifiers.

[0902] As a sub-embodiment of the above embodiment, the first performance metric depends on the percentage of the K1 RS resource identifiers including the K2 RS resource identifiers.

[0903] As an 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 identifiers include the K1 RS resource identifiers.

[0904] As a sub-embodiment of the above embodiment, the first performance metric depends on the percentage of the K2 RS resource identifiers including the K1 RS resource identifiers.

[0905] As an embodiment, the first performance metric depends on whether there are RS resources having the same quasi-co-location relationship between the RS resources indicated by the K1 RS resource identifiers and the RS resources indicated by the K2 RS resource identifiers.

[0906] As an embodiment, the K1 is equal to 1, the K2 is equal to 1, and the first performance metric depends on whether the RS resources indicated by the K1 RS resource identifiers and the RS resources indicated by the K2 RS resource identifiers are quasi-co-located.

[0907] As a sub-embodiment of the above embodiment, the first performance metric depends on the percentage of RS resources indicated by the K1 RS resource identifiers and RS resources indicated by the K2 RS resource identifiers that are quasi co-located.

[0908] As an embodiment, the K1 is greater than 1, the K2 is equal to 1, and the first performance metric depends on whether the RS resources indicated by the K1 RS resource identifiers include RS resources that are quasi-co-located with the RS resources indicated by the K2 RS resource identifiers.

[0909] As a sub-embodiment of the above embodiment, the first performance metric depends on the percentage of RS resources indicated by the K1 RS resource identifiers and RS resources quasi-co-located with the RS resources indicated by the K2 RS resource identifiers.

[0910] As an embodiment, the K1 is equal to 1, the K2 is greater than 1, and the first performance metric depends on whether the RS resources indicated by the K2 RS resource identifiers include RS resources that are quasi-co-located with the RS resources indicated by the K1 RS resource identifiers.

[0911] As a sub-embodiment of the above embodiment, the first performance metric depends on the percentage of RS resources indicated by the K2 RS resource identifiers and RS resources quasi-co-located with the RS resources indicated by the K1 RS resource identifiers.

[0912] As an embodiment, the above-mentioned quasi co-location means that the corresponding quasi co-location type includes typeD quasi-co-location.

[0913] As an embodiment, the given first-category CSI includes K1 RSRPs, and the given second-category CSI includes K2 RSRPs.

[0914] As an embodiment, the first reporting information includes the K1 RSRPs and the K2 RSRPs.

[0915] As an embodiment, the first reporting information includes a first performance metric, and the first performance metric depends on the K1 RSRPs and the K2 RSRPs.

[0916] As a sub-embodiment of the above embodiment, the K1 is equal to 1, the K2 is equal to 1, and the first performance metric includes an average value or CDF of differences between the K1 RSRPs and the K2 RSRPs.

[0917] As a sub-embodiment of the above embodiment, the K1 is equal to 1, the K2 is equal to 1, and the first performance metric includes a percentage that the difference between the K1 RSRPs and the K2 RSRPs does not exceed x dB.

[0918] As a sub-embodiment of the above embodiment, the K1 is greater than 1, the K2 is equal to 1, and the first performance metric includes a percentage that the difference between the largest RSRP among the K1 RSRPs and the K2 RSRPs does not exceed x dB.

[0919] Embodiment 18

[0920] Embodiment 18 illustrates a schematic diagram of a first identification according to an embodiment of the present application; Fig.18 In embodiment 18, the first configuration information block indicates a first identifier, and the first operation is associated with the first identifier.

[0921] As an embodiment, the first identifier is a non-negative integer.

[0922] As an embodiment, the first identifier is a character string.

[0923] As an embodiment, the first operation is identified by the first identifier.

[0924] As an embodiment, the AI ​​entity to which the first operation belongs is identified by the first identifier.

[0925] As an embodiment, the AI ​​function to which the first operation belongs is identified by the first identifier.

[0926] As an embodiment, the AI ​​function or AI entity that performs the first operation is identified by the first identifier.

[0927] As an embodiment, the benefits of the above method include simplifying the design and unifying the understanding of different AI entities or AI functions among different nodes.

[0928] As an embodiment, the training of the first operation is identified by the first identifier.

[0929] As an embodiment, the training data set of the first operation is identified by the first identifier.

[0930] As an embodiment, the benefits of the above method include that by identifying an AI training or an AI training data set to identify the inferences generated by this AI training or AI training data set, a consensus is established between different AI functions, further simplifying the design.

[0931] As an embodiment, the first configuration information block indicates the first operation by indicating the first identifier.

[0932] Embodiment 19

[0933] Embodiment 19 illustrates a schematic diagram related to the capability of the first node whether an RS resource in the M1 RS resources and an RS resource in the M2 RS resources have the same quasi-co-location relationship according to an embodiment of the present application; as shown in the attached Fig.19 shown.

[0934] As an embodiment, the capability of the first node includes UE capability.

[0935] As an embodiment, the capability of the first node includes UE processing capability (UE processingcapability).

[0936] As an embodiment, the capability of the first node includes a UE capability indication (UE capability indication).

[0937] As an embodiment, the capability of the first node includes UE processing time capability.

[0938] As an embodiment, whether there are RS resources in the M1 RS resources and RS resources in the M2 RS resources that have the same quasi-co-location relationship is related to the UE capability reporting of the first node.

[0939] As an embodiment, whether there are RS resources in the M1 RS resources and RS resources in the M2 RS resources that have the same quasi-co-location relationship depends on the capability of the first node.

[0940] As an embodiment, whether there are RS resources in the M1 RS resources and RS resources in the M2 RS resources that have the same quasi-co-location relationship depends on the UE capability report of the first node.

[0941] As an embodiment, the first node reports a first capability value and at least one RS resource among the M1 RS resources has the same quasi-co-location relationship as the RS resources among the M2 RS resources; or, the first node does not report the first capability value and there is no RS resource among the M1 RS resources that has the same quasi-co-location relationship as the RS resources among the M2 RS resources.

[0942] As an embodiment, the first capability value includes a field in a UE capability IE.

[0943] As an embodiment, the first node reports a second capability value and at least one RS resource among the M1 RS resources has the same quasi-co-location relationship as the RS resources among the M2 RS resources; or, the first node reports a third capability value and there is not an RS resource among the M1 RS resources that has the same quasi-co-location relationship as the RS resources among the M2 RS resources.

[0944] As an embodiment, the second capability value and the third capability value are two candidate values ​​of the same field in a UE capability IE.

[0945] As an embodiment, the quasi co-location relationship refers to: Quasi Co-Location relationship (relationship).

[0946] As an embodiment, two RS resources having the same quasi co-location relationship includes: one RS resource of the two RS resources and the other RS ​​resource of the two RS resources are quasi co-located (Quasi Co-Located).

[0947] As an embodiment, two RS resources having the same quasi-co-location relationship includes: one RS resource of the two RS resources and the other RS ​​resource of the two RS resources are quasi-co-located and the corresponding quasi-co-location type includes typeD.

[0948] As an embodiment, two RS resources having the same quasi-co-location relationship includes: the two RS resources are quasi-co-located with the same RS resource.

[0949] As an embodiment, two RS resources having the same quasi-co-location relationship includes: the two RS resources are quasi-co-located with the same RS resource and the corresponding quasi-co-location types both include typeD.

[0950] As an embodiment, two RS resources have the same quasi-co-location relationship including: one of the two RS resources is quasi-co-located with a first given RS resource, the other RS ​​resource of the two RS resources is quasi-co-located with a second given RS resource; the first given RS resource is quasi-co-located with the second given RS resource, or the first given RS resource and the second given RS resource are quasi-co-located with the same RS resource.

[0951] As an embodiment, whether the M1 RS resources and the M2 RS resources include the same RS resources is related to the capability of the first node.

[0952] As an embodiment, whether the M1 RS resources and the M2 RS resources include the same RS resources is related to the UE capability report of the first node.

[0953] As an embodiment, whether the M1 RS resources and the M2 RS resources include the same RS resources depends on the capability of the first node.

[0954] As an embodiment, whether the M1 RS resources and the M2 RS resources include the same RS resources depends on the UE capability report of the first node.

[0955] As an embodiment, the first node reports a first capability value and at least one RS resource among the M1 RS resources is an RS resource among 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 include the same RS resources.

[0956] As an embodiment, the first node reports a second capability value and at least one RS resource among the M1 RS resources is an RS resource among 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 the same RS resources.

[0957] 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 include the same RS resources.

[0958] 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 include the same RS resources.

[0959] 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 the same RS resources.

[0960] As an embodiment, the M1 RS resources and the M2 RS resources do not include the same RS resources, which means that any RS resource in the M1 RS resources is not an RS resource in the M2 RS resources, and any RS resource in the M2 RS resources is not an RS resource in the M1 RS resources.

[0961] Embodiment 20

[0962] Embodiment 20 illustrates a schematic diagram of a first signaling triggering first reporting information according to an embodiment of the present application; Fig. 20 shown.

[0963] As an embodiment, the first signaling includes DCI (Downlink Control Information).

[0964] As an embodiment, the first signaling is DCI.

[0965] As an embodiment, the first signaling is a DCI used to schedule PUSCH.

[0966] As an embodiment, the first signaling is DCI format 0_1 ​​or DCI format 0_2.

[0967] As an embodiment, the first signaling is DCI format 0_1, DCI format 0_2 or DCI format 0_3.

[0968] As an embodiment, the first signaling triggers reporting of the first reporting information.

[0969] As an embodiment, the first signaling triggers the first node to report the first reporting information.

[0970] As an embodiment, the first signaling triggers a report of the first report.

[0971] As an embodiment, the first signaling triggers a report for the first configuration information block.

[0972] As an embodiment, the first signaling triggers the transmission of the M1 RS resources.

[0973] As an embodiment, the first signaling triggers one transmission of the M1 RS resources.

[0974] As an embodiment, the first signaling triggers a transmission of each of the M1 RS resources.

[0975] As an embodiment, the first signaling triggers a transmission opportunity of the M1 RS resources.

[0976] As an embodiment, the first signaling triggers a transmission opportunity for each of the M1 RS resources.

[0977] As an embodiment, the first signaling triggers the first transmission opportunity set.

[0978] As an embodiment, the first signaling triggers the transmission of the M2 RS resources.

[0979] As an embodiment, the first signaling triggers N transmissions of the M2 RS resources.

[0980] As an embodiment, the first signaling triggers N transmissions of each of the M2 RS resources.

[0981] As an embodiment, the first signaling triggers N transmission opportunities for each of the M2 RS resources.

[0982] As an embodiment, the first signaling triggers a transmission of each of the M2 RS resources.

[0983] As an embodiment, the first signaling triggers a transmission opportunity for each of the M2 RS resources.

[0984] As an embodiment, the first signaling triggers the N groups of transmission opportunities.

[0985] As an embodiment, the M1 RS resources are periodic or quasi-static, the M2 RS resources are non-periodic, and the first signaling triggers the N groups of transmission opportunities.

[0986] As an embodiment, the benefits of the above method include flexible indication of the time domain resources of the transmission timing of the M2 RS resources, and better matching and the relationship between the time slot intervals targeted by the output of the first operation.

[0987] As an embodiment, the benefits of the above method include reducing RS overhead related to performance monitoring.

[0988] As an embodiment, the benefits of the above method include allowing AI performance monitoring and AI reasoning to share RS resources, reducing overhead.

[0989] Embodiment 21

[0990] Embodiment 21 illustrates a schematic diagram of a first report according to an embodiment of the present application; Fig.21 In Embodiment 21, the first report is periodic or quasi-static, and the N groups of transmission opportunities are located within the same period of the first report. Fig.21 In the figure, the N groups of transmission opportunities are respectively represented as transmission opportunity group #0, ..., transmission opportunity group #(N-1).

[0991] As an embodiment, the first reporting is periodic or quasi-static, the N groups of transmission opportunities and the first transmission opportunity set are located within the same period of the first reporting, and the first transmission opportunity set includes a transmission opportunity for each of the M1 RS resources.

[0992] As an embodiment, the first reporting is periodic or quasi-static, the N groups of transmission opportunities are located within a period of the first reporting, the first transmission opportunity set is located within another period of the first reporting, and the first transmission opportunity set includes a transmission opportunity for each of the M1 RS resources.

[0993] As a sub-embodiment of the above embodiment, the one period and the another period are two adjacent periods.

[0994] As an embodiment, the first transmission opportunity set includes the most recent transmission opportunity for channel measurement of the first reporting information for each RS resource in the M1 RS resources.

[0995] Embodiment 22

[0996] Embodiment 22 illustrates a schematic diagram of a first report according to an embodiment of the present application; Fig. 22 In embodiment 22, the first reporting is non-periodic, and the first signaling triggers the N groups of transmission opportunities.

[0997] As an embodiment, the first signaling triggers the transmission of the M2 RS resources in the N groups of transmission opportunities.

[0998] As an embodiment, for any RS resource among the M2 RS resources, the first signaling triggers the transmission of this RS resource in N transmission opportunities, and the N transmission opportunities respectively belong to the N groups of transmission opportunities.

[0999] As an embodiment, the first signaling triggers a first transmission opportunity set, and the first transmission opportunity set includes one transmission opportunity for each RS resource in the M1 RS resources.

[1000] As an embodiment, for any RS resource among the M1 RS resources, the first signaling triggers transmission of this RS resource in a transmission opportunity, and the one transmission opportunity belongs to the first transmission opportunity set.

[1001] As an embodiment, for any RS resource among the M1 RS resources, the first node obtains the updated channel measurement for the first report only based on the transmission timing of this RS resource that is no later than the first transmission timing set (including the transmission timing of this RS resource in the first transmission timing set).

[1002] As an embodiment, the first transmission opportunity set is earlier than the N groups of transmission opportunities.

[1003] As an embodiment, the first transmission opportunity set consists of one transmission opportunity for each of the M1 RS resources.

[1004] Embodiment 23

[1005] Embodiment 23 illustrates a schematic diagram of a first report according to an embodiment of the present application that occupies P1 processing units starting from the first symbol and occupies P2 processing units starting from the second symbol; Fig.23 shown.

[1006] As an embodiment, the P1 is related to the first operation.

[1007] As an embodiment, the P1 depends on the first operation.

[1008] As an embodiment, the P1 depends on the N.

[1009] As an embodiment, when N is equal to x1, P1 is equal to y1; when N is equal to x2, P1 is equal to y2; x1 is smaller than x2, and y1 is not greater than y1.

[1010] As an embodiment, the P1 depends on the M1.

[1011] As an embodiment, when the M1 is equal to x1, the P1 is equal to y1; when the M1 is equal to x2, the P1 is equal to y2; the x1 is smaller than the x2, and the y1 is not greater than the y1.

[1012] As an embodiment, whether the P1 depends on the N depends on the M1.

[1013] As an 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.

[1014] As an 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; and the first integer is not equal to the second integer.

[1015] As an embodiment, when N is less than a first threshold, P1 is equal to a first integer; when N is not less than the first threshold, P1 is equal to a second integer; and the first integer is not equal to the second integer.

[1016] As an embodiment, when the M1 is less than a first threshold, the P1 is linearly correlated with the M1; when the M1 is not less than the first threshold, the P1 is equal to a second integer.

[1017] As an embodiment, when the M1 is less than a first threshold, the P1 is linearly correlated with the N; when the M1 is not less than the first threshold, the P1 is equal to a second integer.

[1018] As an embodiment, the first integer is fixed.

[1019] As an embodiment, the first integer is configurable.

[1020] As an embodiment, the first integer depends on the capability of the first node.

[1021] As an embodiment, the first integer is reported by the first node through UE capabilities.

[1022] As an embodiment, the second integer is fixed.

[1023] As an embodiment, the second integer is configurable.

[1024] As an embodiment, the second integer depends on the capability of the first node.

[1025] As an embodiment, the second integer is reported by the first node through UE capabilities.

[1026] As an embodiment, the first threshold is fixed.

[1027] As an embodiment, the first threshold is configurable.

[1028] As an embodiment, the first threshold depends on the first operation.

[1029] As an embodiment, the P1 depends on the product of the N and the first coefficient.

[1030] As an embodiment, the P1 and the rounded value of the product of N and the first coefficient are linearly related.

[1031] As an embodiment, the P1 depends on the product of the M1 and the first coefficient.

[1032] As an embodiment, the P1 and the M1 are linearly related to the integer value of the product of the first coefficient.

[1033] As an embodiment, the first coefficient is a positive real number.

[1034] As an embodiment, the first coefficient is less than 1.

[1035] As an embodiment, the first coefficient is equal to 1.

[1036] As an embodiment, the first coefficient is greater than 1.

[1037] As an embodiment, the first coefficient is fixed.

[1038] As an embodiment, the first coefficient is fixed to 1.

[1039] As an embodiment, the first coefficient is configurable.

[1040] As an embodiment, the first coefficient depends on the capability of the first node.

[1041] As an embodiment, the first coefficient is reported by the first node.

[1042] As an embodiment, the first coefficient is reported by the first node through UE capability (UE capability).

[1043] As an embodiment, the first coefficient is reported by the first node through a UE capability indication (UE capability indication).

[1044] As an embodiment, the first coefficient is related to the first operation.

[1045] As an embodiment, the first coefficient depends on the first operation.

[1046] As an embodiment, the first coefficient is configured for the first operation.

[1047] As an embodiment, the benefits of the above method include that the occupancy of the processing unit is more matched to AI reasoning or training-based operations, further improving the utilization of the processing unit.

[1048] As an embodiment, the first coefficient is indicative of the first operation.

[1049] As an embodiment, the first coefficient is specific to the first operation.

[1050] As an embodiment, the first coefficient is used to determine the number of processing units associated with the first operation.

[1051] As an embodiment, the first coefficient is independent of the first operation.

[1052] As an embodiment, the benefits of the above method include simplified design and reduced signaling overhead.

[1053] As an embodiment, the benefits of the above method include good backward compatibility.

[1054] As an embodiment, the P1 depends on a first component, and the first component is related to the first operation.

[1055] As an embodiment, the first coefficient is indicated to the first node by a sender of the first configuration information block.

[1056] As an embodiment, the P2 depends on the N.

[1057] As an embodiment, when N is equal to x3, P2 is equal to y3; when N is equal to x4, P2 is equal to y4; x3 is smaller than x4, and y3 is not greater than y4.

[1058] As an embodiment, the P2 depends on the M2.

[1059] As an embodiment, when M2 is equal to x3, P2 is equal to y3; when M2 is equal to x4, P2 is equal to y4; x3 is smaller than x4, and y3 is not greater than y4.

[1060] As an embodiment, whether the P2 depends on the N depends on the M2.

[1061] As an embodiment, if the M2 is greater than a threshold, the P2 depends on the N; if the M2 is less than the threshold, the P2 does not depend on the N.

[1062] As an 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; and the third integer is not equal to the fourth integer.

[1063] As an embodiment, when N is less than a second threshold, P2 is equal to a third integer; when N is not less than the second threshold, P2 is equal to a fourth integer; and the third integer is not equal to the fourth integer.

[1064] As an embodiment, when the M2 is less than a second threshold, the P2 is linearly correlated with the M2; when the M2 is not less than the second threshold, the P2 is equal to a fourth integer.

[1065] As an embodiment, when the M2 is less than a second threshold, the P2 is linearly correlated with the N; when the M2 is not less than the second threshold, the P2 is equal to a fourth integer.

[1066] As an embodiment, the third integer is fixed.

[1067] As an embodiment, the third integer is configurable.

[1068] As an embodiment, the third integer depends on the capability of the first node.

[1069] As an embodiment, the third integer is reported by the first node through UE capabilities.

[1070] As an embodiment, the fourth integer is fixed.

[1071] As an embodiment, the fourth integer is configurable.

[1072] As an embodiment, the fourth integer depends on the capability of the first node.

[1073] As an embodiment, the fourth integer is reported by the first node through UE capabilities.

[1074] As an embodiment, the second threshold is fixed.

[1075] As an embodiment, the second threshold is configurable.

[1076] As an embodiment, the P2 depends on the product of the N and a second coefficient.

[1077] As an embodiment, P2 and a rounded value of the product of N and the second coefficient are linearly related.

[1078] As an embodiment, the P2 depends on the product of the M2 and a second coefficient.

[1079] As an embodiment, the P2 and the M2 are linearly related to a rounded value of the product of the second coefficient.

[1080] As an embodiment, the second coefficient is a positive real number.

[1081] As an embodiment, the second coefficient is less than 1.

[1082] As an embodiment, the second coefficient is equal to 1.

[1083] As an embodiment, the second coefficient is greater than 1.

[1084] As an embodiment, the second coefficient is fixed.

[1085] As an embodiment, the second coefficient is fixed to 1.

[1086] As an embodiment, the second coefficient is configurable.

[1087] As an embodiment, the second coefficient depends on the capability of the first node.

[1088] As an embodiment, the second coefficient is reported by the first node.

[1089] As an embodiment, the second coefficient is reported by the first node through UE capability.

[1090] As an embodiment, the second coefficient is reported by the first node through a UE capability indication (UE capability indication).

[1091] As an embodiment, the second coefficient is independent of the first operation.

[1092] As an embodiment, the second coefficient is indicated to the first node by the sender of the first configuration information block.

[1093] As an embodiment, one of the first coefficient and the second coefficient is reported by the first node, and the other is indicated by the sender of the first configuration information block.

[1094] As an embodiment, the first coefficient is reported by the first node, and the second coefficient is indicated by the sender of the first configuration information block.

[1095] As an embodiment, the first coefficient is indicated by the sender of the first configuration information block, and the second coefficient is reported by the first node.

[1096] As an embodiment, one of the first coefficient and the second coefficient is reported by the first node, and the other is fixed.

[1097] As an embodiment, the first coefficient is reported by the first node, and the second coefficient is fixed.

[1098] As an embodiment, only the first coefficient among the first coefficient and the second coefficient depends on the first operation.

[1099] As an embodiment, the first coefficient is dedicated to the first operation, and the second coefficient is not dedicated to the first operation.

[1100] As an embodiment, among the first coefficient and the second coefficient, only the first coefficient is dedicated to the first operation.

[1101] As an embodiment, the first coefficient depends on the first operation, and the second coefficient does not depend on the first operation.

[1102] As an embodiment, the benefits of the above method include respectively optimizing the processing unit occupancy of the first operation and other CSI processing.

[1103] As an embodiment, the P1 depends on the first operation, and the P2 does not depend on the first operation.

[1104] As an embodiment, the benefits of the above method include respectively optimizing the processing unit occupancy of the first operation including AI reasoning or training-based operation and other processing unit occupancy, thereby optimizing system performance.

[1105] As an embodiment, P1 is equal to the first component and P2 is fixed to 1.

[1106] As an embodiment, P1 is equal to the first component plus 1 and P2 is fixed to 1.

[1107] As an embodiment, the benefit of the above method includes optimizing the demand for the occupancy of the processing unit by the first operation.

[1108] As an embodiment, the benefits of the above method include reduced air interface overhead and good backward compatibility.

[1109] As an embodiment, the P1 depends on the M1, and the P2 depends on the M2.

[1110] As an embodiment, the benefits of the above method include simultaneously satisfying the requirements for occupancy of the processing unit by the first operation and other CSI processing under different resource quantities.

[1111] As an embodiment, both P1 and P2 depend on N.

[1112] As an embodiment, the P1 depends on the M1 or the N, and the P2 is equal to 1.

[1113] As an embodiment, the P1 depends on the M1 or the N, and the P2 depends on the M2 or the N.

[1114] As an embodiment, the benefits of the above method include satisfying the requirements for occupancy of the processing unit for the first operation and other CSI processing under different numbers of time slot intervals.

[1115] As an embodiment, the benefits of the above method include better flexibility and fully optimized occupancy of the processing unit.

[1116] As an embodiment, the P1 depends on the N and the P2 is fixed to 1, or the P1 is fixed to 1 and the P2 depends on the N.

[1117] As an example, the benefits of the above method include achieving a better balance between processing unit utilization and implementation complexity.

[1118] As an embodiment, the benefits of the above method include reducing air interface overhead.

[1119] As an embodiment, the P1 depends on the M1, and the P2 depends on the N.

[1120] As an embodiment, the P1 depends on the N, and the P2 depends on the M2.

[1121] As an embodiment, the benefits of the above method include satisfying different requirements of the first operation and other CSIs on the occupancy of the processing unit.

[1122] As an embodiment, the P1 depends on the M1 or the N including that the P1 is equal to the M1 or the N.

[1123] As an embodiment, the P2 depends on the M2 or the N including that the P2 is equal to the M1 or the N.

[1124] As an embodiment, P1 is equal to the integer of the product of N and the first coefficient.

[1125] As an embodiment, the P1 is equal to the integer of the product of the M1 and the first coefficient.

[1126] As an embodiment, if the result of any of the above products is an integer, the corresponding rounding is ignored.

[1127] Embodiment 24

[1128] Embodiment 24 illustrates a schematic diagram of P1 depending on the first component according to an embodiment of the present application; Fig.24 In Embodiment 24, the first component is related to the first operation.

[1129] As an embodiment, the first component is a positive integer.

[1130] As an embodiment, the first component is related to the capability of the first node.

[1131] As an embodiment, the first component depends on the capability of the first node.

[1132] As an embodiment, the first component is reported by the first node.

[1133] As an embodiment, the first component is reported by the first node through UE capability (UE capability).

[1134] As an embodiment, the first component is reported by the first node through a UE capability indication (UE capability indication).

[1135] As an embodiment, the first component depends on the first operation.

[1136] As an embodiment, along with reporting of the first component, the first node reports a first identifier, and the first operation is associated with the first identifier.

[1137] As an embodiment, the first component indicates the number of processing units required for the first operation.

[1138] As an embodiment, the first component indicates the number of processing units required by the first node to perform the first operation.

[1139] As an embodiment, the first component is the number of processing units required for the first operation.

[1140] As an embodiment, the first component is the number of processing units required by the first node to perform the first operation.

[1141] As an embodiment, the first node indicates the first coefficient and the first component.

[1142] As an embodiment, the first coefficient and the first component are indicated separately.

[1143] As an embodiment, the first coefficient and the first component are respectively indicated by different UE capability IEs.

[1144] As an embodiment, the first coefficient and the first component are respectively indicated by different fields of the same UE capability IE.

[1145] As an embodiment, the first node indicates the first coefficient, the second coefficient and the first component.

[1146] As an embodiment, the first coefficient, the second coefficient and the first component are indicated respectively.

[1147] As an embodiment, P1 is linearly correlated with the first component, and a linear coefficient between P1 and the first component is equal to 1.

[1148] As an embodiment, the P1 is equal to the first component.

[1149] As an embodiment, P1 is equal to the first component plus 1.

[1150] As an embodiment, P1 is equal to the product of N and the first coefficient, rounded to an integer, plus the first component.

[1151] As an embodiment, P1 is equal to the product of M1 and the first coefficient, rounded to an integer, plus the first component.

[1152] 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.

[1153] As an embodiment, when N is less than a first threshold, P1 is equal to a first integer plus the first component; when N is not less than the first threshold, 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 M1 is less than a first threshold, the P1 is linearly correlated with the M1; when the M1 is not less than the first threshold, the P1 is equal to a second integer plus the first component.

[1155] As an embodiment, when the M1 is less than a first threshold, the P1 is linearly correlated with the N; 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, if the result of any of the above products is an integer, the corresponding rounding is ignored.

[1157] For the embodiments of the first coefficient and the second coefficient, please refer to Example 23.

[1158] For examples of the first integer and the second integer, refer to Example 23.

[1159] Embodiment 25

[1160] Embodiment 25 illustrates a schematic diagram of P1 and P2 according to an embodiment of the present application; Fig.25 shown.

[1161] In the attached Fig.25 In (a), P1 is equal to the first component, and P2 is equal to 1.

[1162] In the attached Fig.25 In (b), P1 is equal to the first component plus 1, and P2 is equal to 1.

[1163] In the attached Fig.25 In (c), P1 is equal to the integer of the product of N and the first coefficient, and P2 is equal to 1.

[1164] In the attached Fig.25In (d), P1 is equal to the integer of the product of M1 and the first coefficient, and P2 is equal to 1.

[1165] In the attached Fig.25 In (e), P1 is equal to the integer product of N and the first coefficient, and P2 is equal to the integer product of N and the second coefficient.

[1166] In the attached Fig.25 In (f), P1 is equal to the integer product of N and the first coefficient, and P2 is equal to the integer product of M2 and the second coefficient.

[1167] In the attached Fig.25 In (g), P1 is equal to the integer product of M1 and the first coefficient, and P2 is equal to the integer product of N and the second coefficient.

[1168] In the attached Fig.25 In (h), P1 is equal to the integer product of M1 and the first coefficient, and P2 is equal to the integer product of M2 and the second coefficient.

[1169] In the attached Fig.25 In (i), P1 is equal to the product of N and the first coefficient, which is rounded to an integer, and then added to the first component, and P2 is equal to the product of N and the second coefficient, which is rounded to an integer.

[1170] In the attached Fig.25 In (j), P1 is equal to the product of M1 and the first coefficient and the first component added thereto, and P2 is equal to the product of M2 and the second coefficient and the first component added thereto.

[1171] For the embodiment of the first coefficient, refer to Example 23.

[1172] As an embodiment, if the result of any of the above products is an integer, the corresponding rounding is ignored.

[1173] As an embodiment, the rounding is rounding up.

[1174] Embodiment 26

[1175] Embodiment 26 illustrates a schematic diagram of a first symbol depending on M1 RS resources according to an embodiment of the present application; Fig.26 shown.

[1176] As an embodiment, the first symbol depends on the earliest RS resource among the M1 RS resources.

[1177] As an embodiment, the first symbol is the first symbol of the earliest RS resource among the M1 RS resources.

[1178] As an embodiment, the first symbol is the first symbol of the earliest RS resource among the M1 RS resources, which is most recently used to obtain a transmission opportunity for channel measurement for calculating the first reporting information.

[1179] As an embodiment, the first symbol depends on the time domain resources allocated to the first reporting information.

[1180] As an embodiment, the first symbol depends on a first reference time slot.

[1181] As an embodiment, the first symbol is the first symbol of the earliest RS resource among the M1 RS resources and at a latest transmission opportunity no later than the first reference time slot.

[1182] Refer to Example 5 as an example of the first reference time slot.

[1183] As an embodiment, the first symbol is the first symbol of the earliest transmission opportunity in a first transmission opportunity set, the first transmission opportunity set includes a transmission opportunity for each of the M1 RS resources, and the first transmission opportunity set is the most recent transmission opportunity of the M1 RS resources for obtaining channel measurement for calculating the first reporting information.

[1184] As an embodiment, the embodiment of the first transmission opportunity set refers to embodiment 13.

[1185] Embodiment 27

[1186] Embodiment 27 illustrates a schematic diagram of a second symbol depending on M2 RS resources according to an embodiment of the present application; Fig. 27 shown.

[1187] As an embodiment, the second symbol depends on the earliest RS resource among the M2 RS resources.

[1188] As an embodiment, the second symbol is the first symbol of the earliest RS resource among the M2 RS resources.

[1189] As an embodiment, the second symbol is the first symbol of the earliest RS resource among the M2 RS resources, which is most recently used to obtain a transmission opportunity for channel measurement for calculating the first reporting information.

[1190] As an embodiment, the second symbol is the first symbol of the earliest RS resource among the M2 RS resources and at a latest transmission opportunity no later than the first reference time slot.

[1191] Refer to Example 5 as an example of the first reference time slot.

[1192] As an embodiment, the second symbol is the first symbol of the earliest transmission opportunity of the earliest group of transmission opportunities among the N groups of transmission opportunities.

[1193] Embodiment 28

[1194] Embodiment 28 illustrates a schematic diagram of a first report occupying P1 processing units starting from the first symbol until the third symbol according to an embodiment of the present application; Fig.28 shown.

[1195] As an embodiment, the third symbol depends on the M1 RS resources.

[1196] As an embodiment, the third symbol depends on the latest RS resource among the M1 RS resources.

[1197] As an embodiment, the third symbol is the last symbol of the latest RS resource among the M1 RS resources.

[1198] As an embodiment, the third symbol is the Z1th symbol after the last symbol of the latest RS resource among the M1 RS resources, and Z1 is a positive integer.

[1199] As an embodiment, the third symbol depends on the time domain resources allocated to the first reporting information.

[1200] As an embodiment, the third symbol depends on the first reference time slot.

[1201] As an embodiment, the third symbol is the last symbol of the latest transmission opportunity of the latest RS resource among the M1 RS resources that is no later than the first reference time slot.

[1202] As an embodiment, the third symbol is the Z1th symbol after the last symbol of the latest transmission opportunity of the latest RS resource among the M1 RS resources no later than the first reference time slot, and Z1 is a positive integer.

[1203] Refer to Example 5 as an example of the first reference time slot.

[1204] As an embodiment, the third symbol depends on the first transmission opportunity set.

[1205] As an embodiment, the third symbol depends on the latest transmission opportunity in the first transmission opportunity set.

[1206] As an embodiment, the third symbol is the last symbol of the latest transmission opportunity in the first transmission opportunity set.

[1207] As an embodiment, the third symbol is the Z1th symbol after the last symbol of the latest transmission opportunity in the first transmission opportunity set, and Z1 is a positive integer.

[1208] As an embodiment, the embodiment of the first transmission opportunity set refers to embodiment 13.

[1209] As an embodiment, the Z1 is configurable.

[1210] As an embodiment, the Z1 is configured by higher layer signaling.

[1211] As an embodiment, the Z1 is configured by RRC signaling.

[1212] As an embodiment, the Z1 is configured by the first configuration information block.

[1213] As an embodiment, Z1 is fixed.

[1214] As an embodiment, Z1 is greater than 1.

[1215] As an embodiment, Z1 is equal to 1.

[1216] As an embodiment, the third symbol is earlier than the second symbol.

[1217] As an embodiment, the third symbol is later than the second symbol.

[1218] As an embodiment, the third symbol is the second symbol.

[1219] As an embodiment, the third symbol is the previous symbol of the second symbol.

[1220] As an embodiment, the third symbol is the Z1th symbol before the second symbol.

[1221] As an embodiment, the third symbol depends on the time domain resources allocated to the first reporting information.

[1222] As an embodiment, the third symbol depends on the last symbol allocated to the first reporting information.

[1223] As an embodiment, the third symbol is the last symbol allocated to the first reporting information.

[1224] As an embodiment, the third symbol is the Zth symbol after the last symbol allocated to the first reporting information, and Z is a positive integer.

[1225] As an embodiment, Z is configurable.

[1226] As an embodiment, the Z is configured by higher layer signaling.

[1227] As an embodiment, the Z is configured by RRC signaling.

[1228] As an embodiment, the Z is configured by the first configuration information block.

[1229] As an embodiment, Z is fixed.

[1230] As an embodiment, Z is greater than 1.

[1231] As an embodiment, Z is equal to 1.

[1232] Embodiment 29

[1233] Embodiment 29 illustrates a schematic diagram of a first report occupying P2 processing units starting from the second symbol until the fourth symbol according to an embodiment of the present application; Fig.29 shown.

[1234] As an embodiment, the fourth symbol depends on the last symbol allocated to the first reporting information.

[1235] As an embodiment, the fourth symbol is the last symbol allocated to the first reporting information.

[1236] As an embodiment, the fourth symbol is the Zth symbol after the last symbol allocated to the first reporting information, and Z is a positive integer.

[1237] As an embodiment, Z is configurable.

[1238] As an embodiment, the Z is configured by higher layer signaling.

[1239] As an embodiment, the Z is configured by RRC signaling.

[1240] As an embodiment, the Z is configured by the first configuration information block.

[1241] As an embodiment, Z is fixed.

[1242] As an embodiment, Z is greater than 1.

[1243] As an embodiment, Z is equal to 1.

[1244] As an embodiment, the fourth symbol is the third symbol.

[1245] As an embodiment, the fourth symbol is later than the third symbol.

[1246] Embodiment 30

[1247] Embodiment 30 illustrates a schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of the present application; Fig.30 In Example 30, the second processor sends a first data set to the third processor and sends a second data set to the fourth processor; the third processor generates a target first-category parameter group based on the first data set, and the third processor sends the generated target first-category parameter group to the fourth processor; the fourth processor processes the second data set using the target first-category parameter group to obtain a first-category output, and the fourth processor sends the first-category output to the fifth processor. Fig.30 In the embodiment, the first type of feedback and the second type of feedback are optional; the third processor includes ML training function; and the fourth processor includes ML reasoning function.

[1248] As an embodiment, the fifth processor includes ML testing functionality.

[1249] As an embodiment, the fifth processor includes performance monitoring / evaluation of the ML model.

[1250] As an embodiment, the fourth processor sends the first type of feedback to the third processor, and the first type of feedback is used to trigger recalculation or update of the target first type parameter group, that is, trigger ML initial training or ML retraining.

[1251] As an embodiment, the fifth processor sends a second type of feedback to the second processor, and the second type of feedback is used to generate the first data set or the second data set, or the second type of feedback is used to trigger the sending of the first data set or the sending of the second data set.

[1252] As an embodiment, the second processor generates the first data set and the second data set based on measurement of a reference signal.

[1253] As an embodiment, the fourth processor belongs to the first node.

[1254] As an embodiment, the fifth processor belongs to the first node or the second node.

[1255] As an embodiment, the fourth processor performs the first operation.

[1256] As an embodiment, the first type of output includes the first reporting information.

[1257] As an embodiment, the second data set includes measurements for a reference signal.

[1258] As an embodiment, the first data set includes training data (Training Data).

[1259] As an embodiment, the third processor is used to train the ML model, and the trained model is described by the target first-category parameter group.

[1260] As an embodiment, the third processor is located at the first node.

[1261] The above embodiment avoids transferring the first data set to the second node.

[1262] As an embodiment, the third processor is located at the second node.

[1263] The above embodiments support joint training and optimize system performance.

[1264] As an embodiment, the third processor is located in the core network.

[1265] The above embodiments support joint training of the entire network, further optimizing system performance.

[1266] As an embodiment, the second data set includes inference data.

[1267] As an embodiment, the fourth processor is located at the first node.

[1268] As an embodiment, the fourth processing machine constructs a model according to the target first-category parameter group, and then inputs the second data set into the constructed model to obtain the first-category output.

[1269] As an embodiment, the fourth processor compares the actual measurement result with the first type of output, and the obtained error is used to generate the first type of feedback.

[1270] As an embodiment, the fourth processor generates the first type of feedback through performance monitoring.

[1271] As an embodiment, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model cannot meet the requirements, the third processor will recalculate the target first type parameter group.

[1272] As an embodiment, the fifth processor compares the actual measurement result with the first type of output, and the obtained error is used to generate the second type of feedback.

[1273] As an embodiment, the fifth processor generates the second type of feedback through performance monitoring.

[1274] As an embodiment, the second type of feedback is used to reflect the performance of the trained model; when the performance of the trained model cannot meet the requirements, the second processor sends the first data set to trigger or assist the third processor to recalculate the target first type parameter group.

[1275] As an embodiment, when the error is too large or has not been updated for too long, the performance of the trained model is considered to be unable to meet the requirements.

[1276] As an embodiment, the target first category parameter group includes: one or more of: convolution kernel size, number of convolution layers, convolution step size, pooling kernel size, pooling kernel step size, pooling function, activation function, or number of feature maps.

[1277] As an embodiment, the target first-category parameter group includes: one or more of a convolution kernel, a pooling kernel, a pooling function, an activation function, parameters of a pooling function, or parameters of an activation function.

[1278] As an embodiment, the ML includes AI.

[1279] As an embodiment, the ML includes ML and AI.

[1280] Embodiment 31

[1281] Embodiment 31 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of the present application; Fig.31 Attached Fig.31 Including the second operation, the third operation, the fourth operation, the fifth operation and the sixth operation. In Example 31, the second operation and the third operation belong to the first stage, the fourth operation belongs to the second stage, the fifth operation belongs to the third stage, and the sixth operation belongs to the fourth stage. Fig.31 In the diagram, the lines with arrows indicate the sequence of the processes.

[1282] As an embodiment, the second operation includes ML training, the third operation includes ML testing, the fourth operation includes ML emulation, the fifth operation includes ML entity loading, and the sixth operation includes AI inference.

[1283] As an embodiment, the first phase includes a training phase, the second phase includes an emulation phase, the third phase includes a deployment phase, and the fourth phase includes an emulation phase.

[1284] As an embodiment, the first stage includes ML model training.

[1285] As an embodiment, the first stage includes ML model training and ML testing.

[1286] As an embodiment, the ML model training includes initial training and re-training of one or a group of ML models.

[1287] As an embodiment, the ML model training depends on training data.

[1288] As an embodiment, the ML model training includes ML entity validation.

[1289] As an embodiment, the ML entity validation is used to evaluate the performance of the ML entity.

[1290] As an embodiment, the ML entity verification relies on verification data.

[1291] As an example, if the result of ML entity verification does not meet expectations, the ML model will be retrained.

[1292] As an embodiment, the ML testing includes testing the verified ML entity to estimate the performance of the trained ML model.

[1293] As an example, if the result of the ML test meets expectations, the ML entity proceeds to the next stage; otherwise the ML model will be retrained.

[1294] As an embodiment, the ML test relies on test data.

[1295] As an embodiment, the second stage includes ML simulation, which performs inference of ML entities in a simulation environment.

[1296] As an embodiment, the ML simulation estimates the performance of ML entity reasoning in a simulation environment before using the ML entity.

[1297] As an embodiment, the second stage is optional.

[1298] As an embodiment, the third stage includes ML entity loading, and the ML entity loading is to obtain the trained ML entity to obtain the desired AI reasoning function.

[1299] As an embodiment, the third stage is optional.

[1300] As an example, when the training function and the inference function are co-located, the third stage is no longer required.

[1301] As an embodiment, the fourth stage includes AI reasoning.

[1302] As an embodiment, the ML includes AI.

[1303] As an embodiment, the AI ​​includes ML.

[1304] Embodiment 32

[1305] Embodiment 32 illustrates a schematic diagram of AI function deployment according to an embodiment of the present application; as shown in the attached Fig.32 shown.

[1306] In Example 32, the AI ​​training function of the RAN (Radio Access Network) domain is located in the 3GPP RAN domain-specific management function, and the AI ​​inference function is located in the UE.

[1307] In embodiment 32, the RAN domain-specific management functions provide AI training function management capabilities and AI inference function management capabilities.

[1308] Embodiment 33

[1309] Embodiment 33 illustrates a schematic diagram of AI function deployment according to an embodiment of the present application; Fig.33 shown.

[1310] 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.

[1311] In embodiment 33, the management capability of the AI ​​training function is provided by a RAN domain-specific management function, and the management capability of the AI ​​inference is provided locally by the UE.

[1312] In the attached Fig.33 In this article, MnF refers to Management Function.

[1313] Embodiment 34

[1314] Embodiment 34 illustrates a schematic diagram of AI function deployment according to an embodiment of the present application; Fig.34 shown.

[1315] In embodiment 34, both the AI ​​training function and the AI ​​inference function are located in the UE, wherein the UE provides training and inference capabilities.

[1316] In embodiment 34, the RAN domain-specific management function provides management capabilities for AI training functions and management capabilities for AI inference functions.

[1317] Embodiment 35

[1318] Embodiment 35 illustrates a schematic diagram of AI function deployment according to an embodiment of the present application; Fig.35 shown.

[1319] In embodiment 35, both the AI ​​training function and the AI ​​inference function are located in the UE.

[1320] In Embodiment 35, the management capability of the AI ​​training function and the management capability of the AI ​​inference function are both provided locally by the UE.

[1321] In the attached Fig.35 In this article, MnF refers to Management Function.

[1322] Embodiment 36

[1323] Embodiment 39 illustrates a schematic diagram of N first-category CSIs and N second-category CSIs according to an embodiment of the present application; Fig.36 In Embodiment 36, the N first-category CSIs correspond to the N second-category CSIs in one-to-one correspondence, the given first-category CSI is any first-category CSI among the N first-category CSIs, the given second-category CSI is the second-category CSI among the N second-category CSIs corresponding to the given first-category CSI, the given first-category CSI includes K1 RS resource identifiers and K1 RSRPs, the given second-category CSI includes M2 RSRPs and a first RS resource identifier, and K1 is a positive integer.

[1324] As an embodiment, the RS resource identifier includes CRI or SSBRI.

[1325] As an embodiment, the M2 RSRPs are respectively the RSRPs of the M2 RS resources.

[1326] As an embodiment, the first RS resource identifier is an identifier of the RS resource corresponding to the largest RSRP among the M2 RSRPs.

[1327] As an embodiment, the given first type of 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.

[1328] As an embodiment, the first reporting information includes the K1 RS resource identifiers, the K1 RSPPs, the M2 RSRPs and the first RS resource identifier.

[1329] As an embodiment, the first reporting information includes a first performance metric, and the first performance metric depends on the K1 RS resource identifiers, the K1 RSPPs, the M2 RSRPs and the first RS resource identifier.

[1330] As an embodiment, the first performance metric depends on whether the K1 RS resource identifiers include the first RS resource identifier.

[1331] As a sub-embodiment of the above embodiment, the first performance metric includes a percentage of the K1 RS resource identifiers including the first RS resource identifier.

[1332] As an embodiment, the first performance metric depends on an average value or CDF of a difference between a maximum RSRP among the K1 RSRPs and a maximum RSRP among the M2 RSRPs.

[1333] As an embodiment, the first performance metric depends on the difference between the largest RSRP among the K1 RSRPs and the largest RSRP among the M2 RSRPs not exceeding a percentage of x dB.

[1334] Embodiment 37

[1335] Embodiment 37 illustrates a schematic diagram of M1 RS resources and M2 RS resources according to an embodiment of the present application; Fig.37In embodiment 37, the M1 RS resources are periodic or quasi-static, the length of the period of each RS resource in the M1 RS resources is the first period length; the M1 RS resources are a subset of the M2 RS resources, the RS resources in the M2 RS resources other than the M1 RS resources are non-periodic, and the first signaling triggers the N groups of transmission opportunities.

[1336] In the attached Fig.37 In the figure, the N groups of transmission opportunities are respectively represented as transmission opportunity group #0, ..., transmission opportunity group #(N-1).

[1337] As an embodiment, when the M2 RS resources and the M1 RS resources overlap in the time domain, each RS resource in the M1 RS resources is transmitted only once.

[1338] As an embodiment, when one transmission opportunity among the N groups of transmission opportunities and the M1 RS resources overlap in the time domain, each RS resource among the M1 RS resources is transmitted only once.

[1339] Embodiment 38

[1340] Embodiment 38 illustrates a structural block diagram of a processing device used in a first node according to an embodiment of the present application; Fig.38 As shown in the attached Fig.38 In the example, the processing device 3800 in the first node includes a first processor 3801 and a first transmitter 3802.

[1341] In Embodiment 38, the first processor 3801 receives a first configuration information block, and the first transmitter 3802 sends first reporting information.

[1342] Among them, the first configuration information block indicates M1 RS resources and M2 RS resources, and 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 the output of the first operation and the measurement of the M2 RS resources, and the input of the first operation depends on the measurement of the M1 RS resources.

[1343] As an embodiment, the first operation is based on training and the first operation includes reasoning.

[1344] As an embodiment, the measurement of the M2 RS resources is not used as the input of the first operation; or, all or part of the M1 RS resources belong to the M2 RS resources, and the measurement of any RS resource among the M2 RS resources that does not belong to the M1 RS resources is not used as the input of the first operation.

[1345] As an embodiment, any RS resource among the M1 RS resources is a CSI-RS resource or a SS / PBCHblock resource, and any RS resource among the M2 RS resources is a CSI-RS resource or a SS / PBCHblock resource.

[1346] As an embodiment, N first-type CSIs depend on the output of the first operation, and the N first-type CSIs are respectively for N time slot intervals, and any time slot interval of the N time slot intervals includes one or more time slots; N second-type CSIs respectively rely on measurements for N groups of transmission opportunities, and any group of transmission opportunities in the N groups of transmission opportunities includes the transmission opportunities of part or all of the M2 RS resources; N is a positive integer.

[1347] As an embodiment, the N time slot intervals are mutually orthogonal in pairs, the N groups of transmission opportunities are mutually orthogonal in pairs in the time domain, and the output of the first operation includes the N first-type CSIs.

[1348] As an embodiment, the N groups of transmission opportunities respectively belong to the N time slot intervals.

[1349] As an embodiment, the first reporting information includes the N first-category CSIs and the N second-category CSIs, or the first reporting information depends on the N first-category CSIs and the N second-category CSIs.

[1350] As an 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.

[1351] As an embodiment, the first report occupies the processing unit starting from the first symbol until the 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 reporting information.

[1352] 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.

[1353] As an embodiment, the P depends on a first component, and the first component is related to the first operation.

[1354] As an embodiment, the first report occupies P1 processing elements, and the P1 is related to the first operation.

[1355] 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.

[1356] As an embodiment, the first configuration information block indicates a first identifier, and the first operation is associated with the first identifier.

[1357] As an embodiment, the first identifier is a non-negative integer.

[1358] As an embodiment, whether there are RS resources in the M1 RS resources and RS resources in the M2 RS resources that have the same quasi-co-location relationship is related to the capability of the first node.

[1359] As an embodiment, the first processor 3801 receives a first signaling; wherein the first signaling triggers the first reporting information.

[1360] As an embodiment, the first node is a terminal.

[1361] As an embodiment, the first node is user equipment.

[1362] As an embodiment, the first node is a relay node device.

[1363] As an embodiment, the first processor 3801 includes at least one of {antenna 452, receiver 454, receiving processor 456, multi-antenna receiving processor 458, controller / processor 459, memory 460, data source 467} in Example 4.

[1364] As an 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.

[1365] Embodiment 39

[1366] Embodiment 39 illustrates a structural block diagram of a processing device used in a second node according to an embodiment of the present application; Fig.39 As shown in the attached Fig.39 In the embodiment, the processing device 3900 in the second node includes a second transmitter 3901 and a first receiver 3902.

[1367] In Embodiment 39, the second transmitter 3901 sends the first configuration information block, and the first receiver 3902 receives the first reporting information.

[1368] In Example 39, the first configuration information block indicates M1 RS resources and M2 RS resources, and 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 the output of the first operation and the measurement of the M2 RS resources, and the input of the first operation depends on the measurement of the M1 RS resources.

[1369] As an embodiment, the first operation is based on training and the first operation includes reasoning.

[1370] As an embodiment, the measurement of the M2 RS resources is not used as the input of the first operation; or, all or part of the M1 RS resources belong to the M2 RS resources, and the measurement of any RS resource among the M2 RS resources that does not belong to the M1 RS resources is not used as the input of the first operation.

[1371] As an embodiment, any RS resource among the M1 RS resources is a CSI-RS resource or a SS / PBCHblock resource, and any RS resource among the M2 RS resources is a CSI-RS resource or a SS / PBCHblock resource.

[1372] As an embodiment, N first-type CSIs depend on the output of the first operation, and the N first-type CSIs are respectively for N time slot intervals, and any time slot interval of the N time slot intervals includes one or more time slots; N second-type CSIs respectively rely on measurements for N groups of transmission opportunities, and any group of transmission opportunities in the N groups of transmission opportunities includes the transmission opportunities of part or all of the M2 RS resources; N is a positive integer.

[1373] As an embodiment, the N time slot intervals are mutually orthogonal in pairs, the N groups of transmission opportunities are mutually orthogonal in pairs in the time domain, and the output of the first operation includes the N first-type CSIs.

[1374] As an embodiment, the N groups of transmission opportunities respectively belong to the N time slot intervals.

[1375] As an embodiment, the first reporting information includes the N first-category CSIs and the N second-category CSIs, or the first reporting information depends on the N first-category CSIs and the N second-category CSIs.

[1376] As an embodiment, the sender of the first reporting information updates the first report, and the first configuration information block is used to configure the first report; wherein, the first report occupies P processing units.

[1377] As an embodiment, the first report occupies the processing unit starting from the first symbol until the 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 reporting information.

[1378] 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.

[1379] As an embodiment, the P depends on a first component, and the first component is related to the first operation.

[1380] As an embodiment, the first report occupies P1 processing elements, and the P1 is related to the first operation.

[1381] 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.

[1382] As an embodiment, the first configuration information block indicates a first identifier, and the first operation is associated with the first identifier.

[1383] As an embodiment, the first identifier is a non-negative integer.

[1384] As an embodiment, whether there are RS resources in the M1 RS resources and RS resources in the M2 RS resources that have the same quasi-co-location relationship is related to the capability of the sender of the first reporting information.

[1385] As an embodiment, the second transmitter 3901 sends a first signaling; wherein, the first signaling triggers the first reporting information.

[1386] As an embodiment, the second node is a base station.

[1387] As an embodiment, the second node is a base station device.

[1388] As an embodiment, the second node is user equipment.

[1389] As an embodiment, the second node is a relay node device.

[1390] As an 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.

[1391] As an embodiment, the first receiver 3902 includes at least one of {antenna 420, receiver 418, receiving processor 470, multi-antenna receiving processor 472, controller / processor 475, memory 476} in Embodiment 4.

[1392] A person of ordinary skill in the art can understand that all or part of the steps in the above method can be completed by instructing the relevant hardware through a program, 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. Optionally, all or part of the steps in the above embodiment can also be implemented using one or more integrated circuits. Accordingly, 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 software and hardware combination. The user equipment, terminal and UE in the present application include but are not limited to drones, communication modules on drones, remote-controlled aircraft, aircraft, small aircraft, mobile phones, tablet computers, notebooks, vehicle-mounted communication equipment, transportation tools, vehicles, RSUs, wireless sensors, Internet cards, Internet of Things terminals, RFID terminals, NB-IOT terminals, MTC (Machine Type Communication, Machine Type Communication) terminals, eMTC (enhanced MTC, enhanced MTC) terminals, data cards, Internet cards, vehicle-mounted communication equipment, low-cost mobile phones, low-cost tablet computers and other wireless communication devices. The base stations or system equipment in this application include but are not limited to macrocell base stations, microcell base stations, small cell base stations, home base stations, relay base stations, eNB, gNB, TRP (Transmitter Receiver Point), GNSS, relay satellites, satellite base stations, aerial base stations, RSU (Road Side Unit), drones, test equipment, such as wireless communication equipment such as transceivers or signaling testers that simulate some functions of base stations.

[1393] It should be understood by those skilled in the art that the present invention may be implemented in other specified forms without departing from its core or essential features. Therefore, the embodiments disclosed herein should be considered illustrative rather than restrictive in any way. The scope of the invention is determined by the appended claims rather than the preceding description, and all modifications within their equivalent meanings and regions are considered to be included therein.

Claims

1. A method used in a terminal for wireless communication, characterized in that: include: Receive a first configuration information block, where the first configuration information block indicates M1 RS resources and M2 RS resources, where M1 and M2 are positive integers greater than 1 respectively; updating a first report, wherein the first configuration information block is used to configure the first report; Sending first reporting information; Among them, the first reporting information depends on the output of the first operation and the measurement of the M2 RS resources, and the input of the first operation depends on the measurement of the M1 RS resources; the first reporting occupies P1 processing units starting from the first symbol and occupies P2 processing units starting from the second symbol, and the P1 and the P2 are positive integers respectively, and the P1 and the P2 are determined respectively.

2. The method according to claim 1, characterized in that The N first-type CSIs depend on the output of the first operation, and the N first-type CSIs are respectively for N time slot intervals, and any time slot interval of the N time slot intervals includes one or more time slots; the N second-type CSIs respectively depend on measurements for N groups of transmission opportunities, and any group of transmission opportunities in the N groups of transmission opportunities includes the transmission opportunities of part or all of the M2 RS resources; and N is a positive integer.

3. The method according to claim 2, characterized in that The P1 depends on the N, or the P1 depends on the M1.

4. The method according to any one of claims 2 to 3, characterized in that: The P2 is fixed, or the P2 depends on the N, or the P2 depends on the M2.

5. The method according to any one of claims 1 to 4, characterized in that: The P1 depends on a first component, and the first component is 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 indicates a first identifier, and the first operation is associated with the first identifier.

7. The method according to any one of claims 1 to 6, characterized in that: Whether there are RS resources in the M1 RS resources and RS resources in the M2 RS resources that have the same quasi-co-location relationship depends on the capability of the terminal.

8. The method according to any one of claims 1 to 7, characterized in that: include: receiving a first signaling; Among them, the first signaling triggers the first reporting information.

9. The method according to any one of claims 1 to 8, characterized in that: The first symbol depends on the M1 RS resources, and the second symbol depends on the M2 RS resources.

10. The method according to any one of claims 1 to 9, characterized in that: The first report occupies the P1 processing units starting from the first symbol to the third symbol, and the first report occupies the P2 processing units starting from the second symbol to the fourth symbol.

11. A terminal, characterized in that: The terminal includes: one or more processors and a memory; The memory is coupled to the one or more processors, and the memory is used to store computer program codes, where the computer program codes include computer instructions. The one or more processors call the computer instructions to enable the terminal to execute the method according to any one of claims 1 to 10.

12. A method used in a base station for wireless communication, characterized in that: include: Send a first configuration information block, where the first configuration information block indicates M1 RS resources and M2 RS resources, where M1 and M2 are positive integers greater than 1 respectively; Receiving first reporting information; Among them, the first reporting information depends on the output of the first operation and the measurement of the M2 RS resources, and the input of the first operation depends on the measurement of the M1 RS resources; the sender of the first reporting information updates the first report, and the first configuration information block is used to configure the first report; the first report occupies P1 processing units starting from the first symbol and P2 processing units starting from the second symbol, and the P1 and the P2 are positive integers respectively, and the P1 and the P2 are determined respectively.

13. The method according to claim 12, characterized in that The N first-type CSIs depend on the output of the first operation, and the N first-type CSIs are respectively for N time slot intervals, and any time slot interval of the N time slot intervals includes one or more time slots; the N second-type CSIs respectively depend on measurements for N groups of transmission opportunities, and any group of transmission opportunities in the N groups of transmission opportunities includes the transmission opportunities of part or all of the M2 RS resources; and N is a positive integer.

14. The method according to claim 13, characterized in that The P1 depends on the N, or the P1 depends on the M1.

15. The method according to any one of claims 13 to 14, characterized in that 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 according to any one of claims 12 to 16, characterized in that The first configuration information block indicates a first identifier, and the first operation is associated with the first identifier.

18. The method according to any one of claims 12 to 17, characterized in that Whether there are RS resources in the M1 RS resources and RS resources in the M2 RS resources that have the same quasi-co-location relationship is related to the capability of the sender of the first reporting information.

19. The method according to any one of claims 12 to 18, characterized in that include: Sending a first signaling; Among them, the first signaling triggers the first reporting information.

20. The method according to any one of claims 12 to 19, characterized in that The first symbol depends on the M1 RS resources, and the second symbol depends on the M2 RS resources.

21. The method according to any one of claims 12 to 20, characterized in that The first report occupies the P1 processing units starting from the first symbol to the third symbol, and the first report occupies the P2 processing units starting from the second symbol to the fourth symbol.

22. A base station, characterized in that: The base station includes: one or more processors and a memory; The memory is coupled to the one or more processors, and the memory is used to store computer program codes, where the computer program codes include computer instructions, and the one or more processors call the computer instructions to enable the base station to perform the method according to any one of claims 12 to 21.

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