Method and apparatus used in node for wireless communication

Abstract

The present application discloses a method and apparatus used in a node for wireless communication. A first node receives a first configuration information block, and sends first reporting information. The first configuration information block indicates M1 RS resources and M2 RS resources, wherein M1 and M2 are respectively positive integers greater than 1. The first reporting information is for the first configuration information block and depends on the output of a first operation and the measurement for the M2 RS resources, and the input of the first operation depends on the measurement for the M1 RS resources. The method ensures the reporting accuracy, improves system performance, and optimizes the occupation of processing units.

Description

A method and apparatus used in a node for wireless communication

[0001] This application claims priority to the Chinese Patent Application No. 202410877191.3, filed on July 01, 2024, and entitled "A method and apparatus used in a node for wireless communication", the content of which is incorporated herein by reference in its entirety. TECHNICAL FIELD

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

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

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

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

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

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

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

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

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

[0011] sending first reporting information, the first reporting information being for the first configuration information block;

[0012] The first reporting information depends on an output of the first operation and the measurement of the M2 RS resources.

[0013] As an embodiment, the method addresses the issue of how to configure a reporting which needs measurements of multiple RS resources and different processing for measurements of different RS resources. In the method, the first configuration information block indicates the M1 RS resources and the M2 RS resources respectively, and the first reporting information depends on the output of the first operation and the measurement of the M2 RS resources, which solves the issue.

[0014] As an embodiment, the method has the advantage of better adaptation to more complex and diverse application scenarios and different technical requirements, and improved system performance.

[0015] As an embodiment, the method has the advantage of simplified design and good backward compatibility.

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

[0017] According to an aspect of the present application, the N first type CSI depends on the output of the first operation, the N first type CSI is for N time slot intervals respectively, any time slot interval in the N time slot intervals includes one or more time slots; N second type CSI respectively depends on measurements of N groups of transmission occasions, any group of transmission occasions in the N groups of transmission occasions includes transmission occasions of part or all of the M2 RS resources; and the N is a positive integer.

[0018] As an embodiment, the method has the essence of the output of the first operation including predicted CSI or predicted beam information, and the measurement of the M2 RS resources being used to judge the reliability or accuracy of the output of the first operation.

[0019] As an embodiment, the method has the advantage of ensuring the accuracy of CSI reporting, thereby ensuring system performance.

[0020] According to an aspect of the present application, the method comprises:

[0021] updating a first reporting, the first configuration information block being used to configure the first reporting;

[0022] The first reporting occupies P processing units.

[0023] As an embodiment, the method has the advantage of good backward compatibility.

[0024] According to an aspect of the present application, the first report occupies the processing elements from a first symbol to a second symbol; the first symbol depends on the M1 RS resources, and the second symbol depends on the time domain resources allocated to the first report information.

[0025] As an embodiment, the above method has the advantages of improving the efficiency of the processing elements and avoiding the waste of the processing elements.

[0026] According to an aspect of the present application, 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.

[0027] As an embodiment, the above method aims to solve the problem of how to determine the number of processing elements occupied by a report in a scenario where one report needs to measure multiple RS resources and different processing is required for the measurements of different RS resources.

[0028] As an embodiment, the above method aims to solve the problem of how to determine the number of processing elements occupied by a report related to the performance monitoring of AI inference or training-based operations.

[0029] In the above method, the P depends on the first value and the second value, which solves the above problem.

[0030] As an embodiment, the above method has the advantages of meeting the processing element occupation requirements, simplifying the design, and avoiding the waste of processing elements.

[0031] As an embodiment, the above method has the advantages of meeting the processing element occupation requirements of AI inference or the first operation based on training and the processing element occupation requirements of other CSI, respectively, and improving the utilization rate of the processing elements.

[0032] According to an aspect of the present application, the P depends on a first component, and the first component is related to the first operation.

[0033] As an embodiment, the above method has the advantages of better adapting to the processing element requirements of AI inference or training-based operations and improving the overall performance of a system that adopts AI inference or training-based operations.

[0034] According to an aspect of the present application, the first report occupies P1 processing elements, and the P1 is related to the first operation.

[0035] As an embodiment, benefits of the above method include better meeting the requirements of the first operation, considering that the first operation includes AI inference or training-based operation and the processing required by legacy CSI is different.

[0036] As an embodiment, benefits of the above method include improving the overall performance of the system that employs AI inference or training-based operation.

[0037] According to an aspect of the present application, the first configuration information block indicates a first identifier, and the first operation is associated with the first identifier.

[0038] As an embodiment, benefits of the above method include simplifying the design while having good flexibility and forward compatibility.

[0039] According to an aspect of the present application, whether there is a RS resource in the M1 RS resources and a RS resource in the M2 RS resources has the same quasi co-location relationship, and the capability of the first node.

[0040] As an embodiment, benefits of the above method include better flexibility, adapting to different terminals.

[0041] According to an aspect of the present application, it includes:

[0042] receiving first signaling;

[0043] The first signaling triggers the first reporting information.

[0044] As an embodiment, benefits of the above method include reducing the reporting overhead.

[0045] As an embodiment, benefits of the above method include good backward compatibility.

[0046] The present application discloses a method used in a second node for wireless communication, characterized in that it includes:

[0047] sending a first configuration information block, the first configuration information block indicating M1 RS resources and M2 RS resources, the M1 and the M2 are positive integers greater than 1 respectively;

[0048] receiving first reporting information, the first reporting information being for the first configuration information block;

[0049] The first reporting information depends on the output of a first operation and the measurement for the M2 RS resources, and the input of the first operation depends on the measurement for the M1 RS resources.

[0050] As an embodiment, the second node is a base station.

[0051] According to an aspect of the present application, the N first type CSI depends on the output of the first operation, the N first type CSI is respectively for N time interval, any time interval in the N time interval includes one or more time slots; N second type CSI respectively depends on the measurement for N groups of transmission occasions, any group of transmission occasions in the N groups of transmission occasions includes the transmission occasion of part or all of the M2 RS resources; N is a positive integer.

[0052] According to an aspect of the present application, the sender of the first reporting information updates the first reporting, and the first configuration information block is used to configure the first reporting; wherein the first reporting occupies P processing units.

[0053] According to an aspect of the present application, the first reporting occupies the processing unit from the first symbol to the second symbol; the first symbol depends on the M1 RS resources, and the second symbol depends on the time domain resource allocated to the first reporting information.

[0054] According to an aspect of the present application, P depends on a first value and a second value, the first value depends on M1, and the second value depends on M2.

[0055] According to an aspect of the present application, P depends on a first component, and the first component is related to the first operation.

[0056] According to an aspect of the present application, the first reporting occupies P1 processing elements, and P1 is related to the first operation.

[0057] According to an aspect of the present application, the first configuration information block indicates a first identifier, and the first operation is associated with the first identifier.

[0058] According to an aspect of the present application, whether there is an RS resource in the M1 RS resources and the RS resource in the M2 RS resources has the same quasi co-site relationship, and the capability of the sender of the first reporting information is related.

[0059] According to an aspect of the present application, comprising:

[0060] Send first signaling;

[0061] Wherein, the first signaling triggers the first reporting information.

[0062] The application discloses a first node used for wireless communication, which is characterized by comprising:

[0063] a first processor configured to receive a first configuration information block, wherein 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;

[0064] a first transmitter configured to transmit first reporting information, wherein the first reporting information is for the first configuration information block;

[0065] The first reporting information depends on an output of a first operation and measurements for the M2 RS resources, and an input of the first operation depends on measurements for the M1 RS resources.

[0066] The application discloses a second node used for wireless communication, which is characterized by comprising:

[0067] a second transmitter configured to transmit a first configuration information block, wherein 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;

[0068] a first receiver configured to receive first reporting information, wherein the first reporting information is for the first configuration information block;

[0069] The first reporting information depends on an output of a first operation and measurements for the M2 RS resources, and an input of the first operation depends on measurements for the M1 RS resources.

[0070] As one embodiment, compared with a conventional scheme, the application has the following advantages:

[0071] Better adapt to more complex and diverse application scenarios and different technical requirements;

[0072] Ensure the accuracy of the reporting, thereby improving the system performance;

[0073] Optimize the occupation of the processing unit, and avoid the waste of the processing unit;

[0074] Simplify the design;

[0075] Have good backward compatibility. BRIEF DESCRIPTION OF DRAWINGS

[0076] Other features, objects and advantages of the application will become more apparent from the following detailed description of non-limiting embodiments with reference to the attached drawings:

[0077] Fig. 1 shows a flowchart of a first configuration information block and first reporting information according to one embodiment of the application;

[0078] FIG. 2 illustrates a diagram of a network architecture, according to an embodiment of the application;

[0079] FIG. 3 illustrates a diagram of an embodiment of a radio protocol architecture for the user and control planes, according to an embodiment of the application;

[0080] FIG. 4 illustrates a diagram of a first communication device and a second communication device, according to an embodiment of the application;

[0081] FIG. 5 illustrates a transmission between a first node and a second node, according to an embodiment of the application;

[0082] FIG. 6 illustrates a diagram of Ml RS resources and M2 RS resources, according to an embodiment of the application;

[0083] FIG. 7 illustrates a diagram of Ml RS resources and M2 RS resources, according to an embodiment of the application;

[0084] FIG. 8 illustrates a diagram of Ml RS resources and M2 RS resources, according to an embodiment of the application;

[0085] FIG. 9 illustrates a diagram of Ml RS resources and M2 RS resources, according to an embodiment of the application;

[0086] FIG. 10 illustrates a diagram of Ml RS resources and M2 RS resources, according to an embodiment of the application;

[0087] FIG. 11 illustrates a diagram of deploying a first operation, according to an embodiment of the application;

[0088] FIG. 12 illustrates a diagram of N first-type CSIs depending on an output of the first operation, according to an embodiment of the application;

[0089] FIG. 13 illustrates a diagram of N first-type CSIs for N time intervals, respectively, according to an embodiment of the application;

[0090] FIG. 14 illustrates a diagram of N groups of transmission occasions, according to an embodiment of the application;

[0091] FIG. 15 illustrates a diagram of N groups of transmission occasions, according to an embodiment of the application;

[0092] FIG. 16 illustrates a diagram of N second-type CSIs depending on measurements for N groups of transmission occasions, respectively, according to an embodiment of the application;

[0093] FIG. 17 illustrates a diagram of N first-type CSIs and N second-type CSIs, according to an embodiment of the application;

[0094] FIG. 18 illustrates a schematic diagram of the first identification according to one embodiment of the present application;

[0095] FIG. 19 illustrates a schematic diagram of whether there is a same quasi co-location relationship between RS resources in M1 RS resources and RS resources in M2 RS resources, and the capability of the first node according to one embodiment of the present application;

[0096] FIG. 20 illustrates a schematic diagram of the first signaling triggering the first reporting information according to one embodiment of the present application;

[0097] FIG. 21 illustrates a schematic diagram of the first node updating the first reporting according to one embodiment of the present application;

[0098] FIG. 22 illustrates a schematic diagram of the first reporting according to one embodiment of the present application;

[0099] FIG. 23 illustrates a schematic diagram of the first reporting according to one embodiment of the present application;

[0100] FIG. 24 illustrates a schematic diagram of the first reporting occupying P processing elements according to one embodiment of the present application;

[0101] FIG. 25 illustrates a schematic diagram of P according to one embodiment of the present application;

[0102] FIG. 26 illustrates a schematic diagram of P according to one embodiment of the present application;

[0103] FIG. 27 illustrates a schematic diagram of P according to one embodiment of the present application;

[0104] FIG. 28 illustrates a schematic diagram of P according to one embodiment of the present application;

[0105] FIG. 29 illustrates a schematic diagram of the P depending on a first component according to one embodiment of the present application;

[0106] FIG. 30 illustrates a schematic diagram of P according to one embodiment of the present application;

[0107] FIG. 31 illustrates a schematic diagram of the first reporting occupying P processing elements from a first symbol until a second symbol according to one embodiment of the present application;

[0108] FIG. 32 illustrates a schematic diagram of the first reporting occupying P1 processing elements according to one embodiment of the present application;

[0109] FIG. 33 illustrates a schematic diagram of an artificial intelligence or machine learning based processing system according to one embodiment of the present application;

[0110] FIG. 34 illustrates a schematic diagram of an artificial intelligence or machine learning based processing system according to one embodiment of the present application;

[0111] FIG. 35 shows a schematic diagram of AI function deployment according to one embodiment of the present application;

[0112] FIG. 36 shows a schematic diagram of AI function deployment according to one embodiment of the present application;

[0113] FIG. 37 shows a schematic diagram of AI function deployment according to one embodiment of the present application;

[0114] FIG. 38 shows a schematic diagram of AI function deployment according to one embodiment of the present application;

[0115] FIG. 39 shows a schematic diagram of N first type CSI and N second type CSI according to one embodiment of the present application;

[0116] FIG. 40 shows a schematic diagram of M1 RS resources and M2 RS resources according to one embodiment of the present application;

[0117] FIG. 41 shows a structural block diagram of a processing device in a first node according to one embodiment of the present application;

[0118] FIG. 42 shows a structural block diagram of a processing device in a second node according to one embodiment of the present application. DETAILED DESCRIPTION

[0119] The technical solutions of the present application will be further described in detail below with reference to the accompanying drawings. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other arbitrarily without conflict. Based on performance, flexibility, complexity, overhead and compatibility, etc., the person skilled in the art has the motivation to flexibly combine the embodiments in different drawings without conflict, for example, but not limited to, the embodiments in FIG. 1 and the embodiments in FIGS. 5-42, the embodiments in FIG. 5 and the embodiments in FIGS. 6-42, etc.

[0120] Embodiment 1

[0121] Embodiment 1 shows a flowchart of a first configuration information block and a first reporting information according to one embodiment of the present application, as shown in FIG. 1. In 100 shown in FIG. 1, each block represents a step. In particular, the order of the steps in the blocks does not represent a specific time sequence between the steps.

[0122] In embodiment 1, the first node receives a first configuration information block in step 101; and sends a first reporting information in step 102. Wherein, the first configuration information block indicates M1 RS resources and M2 RS resources, the M1 and the M2 are positive integers greater than 1 respectively; the first reporting information is for the first configuration information block, the first reporting information depends on an output of a first operation and a measurement for the M2 RS resources, an input of the first operation depends on a measurement for the M1 RS resources.

[0123] As an embodiment, the first configuration information block is carried by a higher layer signaling.

[0124] As an embodiment, the first configuration information block is carried by a Radio Resource Control (RRC) signaling.

[0125] As an embodiment, the first configuration information block is carried by one RRC Information Element (IE).

[0126] As an embodiment, the first configuration information block is carried by at least one RRC IE.

[0127] As an embodiment, the first configuration information block includes information in one or more fields in one RRC IE.

[0128] As an embodiment, the first configuration information block includes information in one or more fields in each of a plurality of RRC IEs.

[0129] As an embodiment, the first configuration information block is one RRC IE.

[0130] As an embodiment, the first configuration information block is carried by a CSI-ReportConfig IE.

[0131] As an embodiment, the first configuration information block is one CSI-ReportConfig IE.

[0132] As an embodiment, the first configuration information block is carried by a ServingCellConfig IE.

[0133] As an embodiment, the first configuration information block is carried by a CSI-MeasConfig IE.

[0134] As an embodiment, the first configuration information block is carried by a ServingCellConfigCommon IE.

[0135] As one embodiment, the first configuration information block is carried by a ServingCellConfigCommonSIB IE.

[0136] As one embodiment, the first configuration information block includes all or part of information in a CSI-ReportConfig IE.

[0137] As one embodiment, the first configuration information block includes all or part of information in a ServingCellConfig IE.

[0138] As one embodiment, the first configuration information block includes all or part of information in a CSI-MeasConfig IE.

[0139] As one embodiment, the first configuration information block includes all or part of information in a ServingCellConfigCommon IE.

[0140] As one embodiment, the first configuration information block includes all or part of information in a ServingCellConfigCommonSIB IE.

[0141] As one embodiment, the first configuration information block indicates the M1 RS resources in sequence.

[0142] As one embodiment, the first configuration information block indicates identities of the M1 RS resources in sequence.

[0143] As one embodiment, the first configuration information block indicates the M2 RS resources in sequence.

[0144] As one embodiment, the first configuration information block indicates identities of the M2 RS resources in sequence.

[0145] As one embodiment, the first configuration information block indicates a first RS resource set, and the first RS resource set includes the M1 RS resources.

[0146] As one embodiment, the first configuration information block indicates the M1 RS resources by indicating the first RS resource set.

[0147] As one embodiment, the first configuration information block indicates an identity of the first RS resource set.

[0148] As one embodiment, the first configuration information block indicates a second RS resource set, and the second RS resource set includes the M2 RS resources.

[0149] As one embodiment, the first configuration information block indicates the M2 RS resources by indicating the second set of RS resources.

[0150] As one embodiment, the first configuration information block indicates an identity of the second set of RS resources.

[0151] As one embodiment, the first configuration information block indicates the first set of RS resources and the second set of RS resources in sequence.

[0152] As one embodiment, an identity of the first set of RS resources is different from an identity of the second set of RS resources.

[0153] As one embodiment, the first configuration information block indicates a plurality of sets of RS resources, any RS resource of the M2 RS resources belongs to one set of RS resources of the plurality of sets of RS resources.

[0154] As one embodiment, the first configuration information block indicates the M2 RS resources by indicating the plurality of sets of RS resources.

[0155] As one embodiment, the first configuration information block indicates a plurality of sets of RS resources, any RS resource of the M1 RS resources belongs to one set of RS resources of the plurality of sets of RS resources, any RS resource of the M2 RS resources belongs to one set of RS resources of the plurality of sets of RS resources.

[0156] As one embodiment, the first configuration information block indicates the M1 RS resources and the M2 RS resources by indicating the plurality of sets of RS resources.

[0157] As one embodiment, the first configuration information block indicates the plurality of sets of RS resources in sequence.

[0158] As one embodiment, the M1 RS resources comprise Channel State Information Reference Signal (CSI-RS) resources.

[0159] As one embodiment, any RS resource of the M1 RS resources is a CSI-RS resource.

[0160] As one embodiment, at least one RS resource of the M1 RS resources is a CSI-RS resource.

[0161] As one embodiment, the M1 RS resources include SS / PBCH (Synchronisation Signal / Physical Broadcast Channel) block resources.

[0162] As one embodiment, any of the M1 RS resources is a SS / PBCH block resource.

[0163] As one embodiment, at least one of the M1 RS resources is a SS / PBCH block resource.

[0164] As one embodiment, any of the M1 RS resources is a CSI-RS resource or a SS / PBCH block resource.

[0165] As one embodiment, the identity of at least one of the M1 RS resources is NZP-CSI-RS-ResourceId.

[0166] As one embodiment, the identity of any of the M1 RS resources is NZP-CSI-RS-ResourceId.

[0167] As one embodiment, the identity of at least one of the M1 RS resources is SSB-Index.

[0168] As one embodiment, the identity of any of the M1 RS resources is SSB-Index.

[0169] As one embodiment, the M1 RS resources belong to a first RS resource set.

[0170] As one embodiment, the first RS resource set consists of the M1 RS resources.

[0171] As one embodiment, the first RS resource set includes a CSI-RS resource set.

[0172] As one embodiment, the first RS resource set is a CSI-RS resource set.

[0173] As one embodiment, the identity of the first RS resource set is NZP-CSI-RS-ResourceSetId.

[0174] As one embodiment, the first RS resource set includes a CSI SSB (Synchronisation Signal Block) resource set.

[0175] As one embodiment, the first set of RS resources is a set of CSI SSB resources.

[0176] As one embodiment, the identification of the first set of RS resources is CSI-SSB-ResourceSetId.

[0177] As one embodiment, the M2 RS resources include CSI-RS resources.

[0178] As one embodiment, any of the M2 RS resources is a CSI-RS resource.

[0179] As one embodiment, at least one of the M2 RS resources is a CSI-RS resource.

[0180] As one embodiment, the M2 RS resources include SS / PBCH block resources.

[0181] As one embodiment, any of the M2 RS resources is a SS / PBCH block resource.

[0182] As one embodiment, at least one of the M2 RS resources is a SS / PBCH block resource.

[0183] As one embodiment, any of the M2 RS resources is a CSI-RS resource or a SS / PBCH block resource.

[0184] As one embodiment, the identification of at least one of the M2 RS resources is NZP-CSI-RS-ResourceId.

[0185] As one embodiment, the identification of any of the M2 RS resources is NZP-CSI-RS-ResourceId.

[0186] As one embodiment, the identification of at least one of the M2 RS resources is SSB-Index.

[0187] As one embodiment, the identification of any of the M2 RS resources is SSB-Index.

[0188] As one embodiment, the M2 RS resources belong to a second set of RS resources.

[0189] As one embodiment, the second set of RS resources consists of the M2 RS resources.

[0190] As one embodiment, the second RS resource set comprises a CSI-RS resource set.

[0191] As one embodiment, the second RS resource set is a CSI-RS resource set.

[0192] As one embodiment, the identity of the second RS resource set is NZP-CSI-RS-ResourceSetId.

[0193] As one embodiment, the second RS resource set comprises a CSI SSB resource set.

[0194] As one embodiment, the second RS resource set is a CSI SSB resource set.

[0195] As one embodiment, the identity of the second RS resource set is CSI-SSB-ResourceSetId.

[0196] As one embodiment, the M2 RS resources comprise RS resources in each of a plurality of RS resource sets.

[0197] As one embodiment, any of the plurality of RS resource sets is a CSI-RS resource set or a CSI SSB resource set.

[0198] As one embodiment, the M1 is less than the M2.

[0199] As one embodiment, the M1 is less than or equal to the M2.

[0200] As one embodiment, any two of the M1 RS resources are orthogonal in time domain.

[0201] As one embodiment, there are two of the M1 RS resources that are orthogonal in time domain.

[0202] As one embodiment, there are two of the M1 RS resources that overlap in time domain.

[0203] As one embodiment, the M1 RS resources comprise two parts, the two parts are orthogonal to each other in time domain, and any two RS resources in a same part of the two parts overlap in time domain.

[0204] As one embodiment, there are two of the M1 RS resources that overlap in time domain and are orthogonal in frequency domain.

[0205] As one embodiment, there are two of the M1 RS resources that overlap in time-frequency domain and have different code domain resources.

[0206] As one embodiment, any two RS resources of the M2 RS resources are orthogonal in time domain.

[0207] As one embodiment, any two RS resources of the M2 RS resources are orthogonal in time domain.

[0208] As one embodiment, any two RS resources of the M2 RS resources are orthogonal in time domain.

[0209] As one embodiment, the M2 RS resources include two parts, the two parts are orthogonal to each other in time domain, and any two RS resources in the same part of the two parts overlap in time domain.

[0210] As one embodiment, any two RS resources of the M2 RS resources are orthogonal in time domain.

[0211] As one embodiment, any two RS resources of the M2 RS resources are orthogonal in time domain.

[0212] As one embodiment, the code domain resource includes w f (k′) and w t (l′), the definitions of w f (k′) and w t (l′) refer to 3GPP TS 38.211.

[0213] As one embodiment, the M1 RS resources are periodic or quasi-static.

[0214] As one sub-embodiment of the above embodiment, the periods of any two RS resources of the M1 RS resources are equal.

[0215] As one embodiment, the M1 RS resources are aperiodic.

[0216] As one embodiment, the M2 RS resources are periodic or quasi-static.

[0217] As one sub-embodiment of the above embodiment, the periods of any two RS resources of the M2 RS resources are equal.

[0218] As one embodiment, the M2 RS resources are aperiodic.

[0219] As one embodiment, the M1 RS resources are aperiodic, and the M2 RS resources are aperiodic.

[0220] As one embodiment, the M1 RS resources are periodic or quasi-static, and the M2 RS resources are aperiodic.

[0221] As one embodiment, the M1 RS resources are periodic or quasi-static, and the M2 RS resources are periodic or quasi-static.

[0222] As one embodiment, any RS resource of the M2 RS resources and one RS of the M1 RS resources have the same quasi co-location relationship.

[0223] As one embodiment, at least one RS resource of the M2 RS resources and one RS of the M1 RS resources have the same quasi co-location relationship.

[0224] As one embodiment, any RS resource of the M2 RS resources and each RS of the M1 RS resources have different quasi co-location relationships.

[0225] As one embodiment, at least one RS resource of the M2 RS resources and each RS of the M1 RS resources have different quasi co-location relationships.

[0226] As one embodiment, any RS resource of the M1 RS resources is different from any RS resource of the M2 RS resources.

[0227] As one embodiment, the RS resource identity of any RS resource of the M1 RS resources is different from the RS resource identity of any RS resource of the M2 RS resources.

[0228] As one embodiment, at least part of the RS resources of the M1 RS resources belong to the M2 RS resources.

[0229] As one embodiment, each RS resource of the at least part of the RS resources of the M1 RS resources and one RS resource of the M2 RS resources is the same RS resource.

[0230] As one embodiment, the M1 RS resources are a subset of the M2 RS resources.

[0231] As one embodiment, the M1 RS resources are a proper subset of the M2 RS resources.

[0232] As one embodiment, at least part of the RS resources of the M1 RS resources belong to the M2 RS resources, and the periodicity of the at least part of the RS resources is different from the periodicity of any RS resource of the M2 RS resources that does not belong to the M1 RS resources.

[0233] As one embodiment, the M2 RS resources belong to a same CSI-RS resource set, any RS resource in the M2 RS resources is a CSI-RS resource in the same CSI-RS resource set; the M2 RS resources are periodic or quasi-static, a part of RS resources in the M2 RS resources have a period length different from another part of RS resources in the M2 RS resources.

[0234] As one embodiment, the first RS resource set includes the M1 RS resources, the second RS resource set includes the M2 RS resources, at least a part of RS resources in the M1 RS resources belong to the M2 RS resources, the time-domain behavior of the part of RS resources in the first RS resource set is different from the time-domain behavior of the part of RS resources in the second RS resource set.

[0235] As one sub-embodiment of the above embodiment, the part of RS resources in the first RS resource set are periodic or quasi-static, the part of RS resources in the second RS resource set are aperiodic.

[0236] As one sub-embodiment of the above embodiment, the first RS resource set is a CSI-RS resource set, the M1 RS resources are M1 CSI-RS resources in the first RS resource set respectively.

[0237] As one sub-embodiment of the above embodiment, the second RS resource set is a CSI-RS resource set, the M2 RS resources are M2 CSI-RS resources in the second RS resource set respectively.

[0238] As one embodiment, the M1 RS resources are a subset of the M2 RS resources, the first RS resource set includes the M1 RS resources, the second RS resource set includes RS resources in the M2 RS resources except the M1 RS resources, the first configuration information block indicates the first RS resource set and the second RS resource set.

[0239] As one sub-embodiment of the above embodiment, the first configuration information block indicates the first RS resource set and the second RS resource set in sequence.

[0240] As one sub-embodiment of the above embodiment, the M1 RS resources are all RS resources in the first RS resource set.

[0241] As one subembodiment of the above embodiment, the M2 RS resources include all RS resources in the first set of RS resources and all RS resources in the second set of RS resources.

[0242] As one subembodiment of the above embodiment, the first configuration information block indicates the M1 RS resources by indicating the first set of RS resources, and indicates the M2 RS resources by indicating the first set of RS resources and the second set of RS resources.

[0243] As one subembodiment of the above embodiment, the first set of RS resources is one CSI-RS resource set, and the second set of RS resources is one CSI-RS resource set.

[0244] As one embodiment, the first reporting information is reported by the first node for the first configuration information block.

[0245] As one embodiment, the first reporting information is reported by the first node for the first configuration information block.

[0246] As one 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.

[0247] As one embodiment, the first reporting information is generated according to the first configuration information block.

[0248] As one 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.

[0249] As one embodiment, the measurement for the M1 RS resources and the measurement for the M2 RS resources are jointly used to calculate the first reporting information.

[0250] As one embodiment, the first node obtains channel measurements for calculating the first reporting information based on the M1 RS resources and the M2 RS resources.

[0251] As one embodiment, the first node obtains channel measurements for calculating the first reporting information based only on the M1 RS resources and the M2 RS resources.

[0252] As one embodiment, the first configuration information block indicates that RS resources for obtaining channel measurements for calculating the first reporting information include the M1 RS resources and the M2 RS resources.

[0253] As an embodiment, the output of the first operation and the measurement for the M2 RS resources are jointly used to compute the first reporting information.

[0254] As an embodiment, computing the first reporting information refers to computing a reporting amount of the first reporting information.

[0255] As an embodiment, the first configuration information block indicates a reporting amount included in the first reporting information.

[0256] As an embodiment, the reporting amount includes a CSI reporting amount.

[0257] As an embodiment, the reporting amount includes a compressed CSI.

[0258] As an embodiment, the reporting amount includes one or more of a CQI (Channel Quality Indicator), a PMI (Precoding Matrix Indicator), a CRI (CSI-RS Resource Indicator), a LI (Layer Indicator), a RI (Rank Indicator), a SSBRI (SS / PBCH Block Resource Indicator), a RSRP (Reference Signal received power), a SINR (Signal-to-Interference and Noise Ratio), a Capability Index, and a TDCP (Time Domain Channel Properties).

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

[0260] As one embodiment, the performance metrics include one or more of SGCS (Squared Generalized Cosine Similarity), NMSE (Normalized Mean Square Error), UPT (User Perceived Throughput), throughput, hypothetical BLER (Block Error Rate), BLER, ACK (acknowledgement) / NACK (negative acknowledgement), and CSI prediction accuracy.

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

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

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

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

[0265] As one embodiment, the correct prediction includes at least one of a difference between a RSRP of a first (top-1) predicted beam and a RSRP of a strongest beam is no more than x dB, a difference between a maximum RSRP of a top-K (top-K) predicted beams and a RSRP of a strongest beam is no more than x dB.

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

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

[0268] As an embodiment, the first reporting information is transmitted on a PUCCH (Physical Uplink Control Channel), and the first configuration information block indicates a PUCCH resource allocated to the first reporting information.

[0269] As an embodiment, the first configuration information block indicates a frequency domain resource to which the first reporting information is directed.

[0270] As an embodiment, the first operation is based on training.

[0271] As an embodiment, the first operation is obtained through training.

[0272] As an embodiment, the problem to be solved by the present application includes, in a scenario where the first reporting information depends on the output of the first operation and depends on the measurement for the M2 RS resources, how to configure the first reporting information, for the measurement for the M1 RS resources being used as the input of the first operation based on training.

[0273] As an embodiment, the models of the first operation are all obtained through training.

[0274] As an embodiment, the training of the first operation is performed by the first node.

[0275] As an embodiment, the training of the first operation is performed by the sender of the first configuration information block.

[0276] As an embodiment, the training of the first operation is performed by the core network.

[0277] As an embodiment, the training of the first operation is performed by an AI training producer.

[0278] As an embodiment, the training of the first operation is performed by an MDA function (Management Data Analytics Function).

[0279] As an embodiment, the training of the first operation is performed by an NWDAF (Network Data Analytics Function).

[0280] As an embodiment, the training of the first operation is performed by an MDAS (Management Data Analytics Service) producer.

[0281] As an embodiment, the training of the first operation is performed by an MnS (Management Service) producer.

[0282] As an embodiment, the first operation comprises inference.

[0283] As an embodiment, the inference refers to AI (Artificial Intelligence) inference.

[0284] As an embodiment, the first operation comprises AI inference.

[0285] As an embodiment, the problem to be solved by the present application includes how to configure the first reporting information in the scenario that the measurement of the M1 RS resources is used as the input of AI inference, the first reporting information depends on the output of the AI inference and depends on the measurement of the M2 RS resources.

[0286] As an embodiment, the first operation is inference.

[0287] As an embodiment, the first operation is AI inference.

[0288] As an embodiment, the first operation comprises AI inference for CSI (Channel State Information).

[0289] As an embodiment, the first operation comprises AI inference for CSI prediction.

[0290] As an embodiment, the first operation comprises AI inference for beam management.

[0291] As an embodiment, the first operation comprises an AI entity.

[0292] As an embodiment, the first operation comprises an AI entity for inference.

[0293] As an embodiment, the first operation comprises a part of an AI entity.

[0294] As an embodiment, the first operation comprises a part of an AI entity for inference.

[0295] As an embodiment, the first operation is performed by an AI entity.

[0296] As one embodiment, the first operation is performed by an AI entity deployed at the first node.

[0297] As one embodiment, the first operation is performed by an AI function.

[0298] As one embodiment, the first operation is performed by an AI function deployed at the first node.

[0299] As one embodiment, the AI function comprises an AI inference function.

[0300] As one embodiment, the AI function comprises an AI training function.

[0301] As one embodiment, the AI function comprises an AI management function.

[0302] As one embodiment, the AI comprises Machine Learning (ML).

[0303] As one embodiment, the AI comprises AI and ML.

[0304] As one embodiment, the AI comprises AI or ML.

[0305] As one embodiment, the first operation is deployment requiring.

[0306] As one embodiment, the first operation is deployment not requiring.

[0307] As one embodiment, the first operation is obtained by load.

[0308] As one embodiment, the first operation is obtained by load from a serving cell of the first node.

[0309] As one embodiment, the first operation is obtained by load from a maintaining base station of a serving cell of the first node.

[0310] As one embodiment, the first operation is obtained by load from a core network.

[0311] As one embodiment, the first operation is based on artificial intelligence or machine learning.

[0312] As one embodiment, the first operation is based on a neural network.

[0313] As one embodiment, the first operation comprises artificial intelligence or machine learning based CSI prediction.

[0314] As one embodiment, the first operation comprises artificial intelligence or machine learning based beam management.

[0315] As one embodiment, the output of the first operation comprises one or more of CRI, SSBRI and RSRP.

[0316] As one embodiment, the output of the first operation comprises CRI.

[0317] As one embodiment, the output of the first operation comprises SSBRI.

[0318] As one embodiment, the output of the first operation comprises RSRP.

[0319] As one embodiment, the output of the first operation comprises CRI and RSRP.

[0320] As one embodiment, the output of the first operation comprises SSBRI and RSRP.

[0321] As one embodiment, the output of the first operation comprises predicted CSI.

[0322] As one embodiment, the predicted CSI comprises one or more of predicted CRI, predicted SSBRI and predicted RSRP.

[0323] As one embodiment, the prediction comprises spatial prediction or temporal prediction.

[0324] As one embodiment, the prediction comprises spatial prediction and temporal prediction.

[0325] As one embodiment, the first configuration information block indicates the first operation.

[0326] As one embodiment, the benefit of the above method comprises supporting joint optimization, further improving system performance.

[0327] As one embodiment, the benefit of the above method comprises, under a two-sided model, making the two-sided model more matched, further improving system performance.

[0328] As one embodiment, the first node determines the first operation by itself.

[0329] As one embodiment, the benefit of the above method comprises better flexibility, suitable for different terminals, and reduces air interface overhead.

[0330] As an embodiment, the first node determines the first operation by itself, which is transparent to a sender of the first configuration information block.

[0331] As an embodiment, the first node determines the first operation by itself and reports a first identity, the first operation being associated to the first identity.

[0332] As a sub-embodiment of the above embodiment, the first identity is a non-negative integer.

[0333] As a sub-embodiment of the above embodiment, the first identity is a string.

[0334] As a sub-embodiment of the above embodiment, the first operation is identified by the first identity.

[0335] As a sub-embodiment of the above embodiment, an AI function or an AI entity performing the first operation is identified by the first identity.

[0336] As a sub-embodiment of the above embodiment, a training or a training data set of the first operation is identified by the first identity.

[0337] As an embodiment, the first operation is one of a plurality of candidate operations, and the first node determines the first operation from the plurality of candidate operations by itself.

[0338] As an embodiment, each of the plurality of candidate operations is obtained by training.

[0339] As an embodiment, a model of each of the plurality of candidate operations is obtained by training.

[0340] As an embodiment, each of the plurality of candidate operations includes AI inference.

[0341] As an embodiment, each of the plurality of candidate operations includes AI inference for CSI prediction or beam management.

[0342] As an embodiment, each of the plurality of candidate operations is based on artificial intelligence or machine learning.

[0343] As an embodiment, at least one of the plurality of candidate operations is deployment- requiring.

[0344] As an embodiment, a sender of the first configuration information block indicates the plurality of candidate operations.

[0345] As one embodiment, the first node determines the first operation from the plurality of candidate operations by itself.

[0346] As one embodiment, the sender of the first configuration information block indicates a part of the plurality of candidate operations, and the first node determines another part of the plurality of candidate operations by itself.

[0347] Generally, how the first node determines the first operation from the plurality of candidate operations is determined by the hardware device vendor, and some non-limiting embodiments are described as follows:

[0348] As one embodiment, the first node determines the first operation by monitoring the performance of each of the plurality of candidate operations.

[0349] As one embodiment, the input of each of the plurality of candidate operations depends on the measurement on the M1 RS resources, the output of each of the plurality of candidate operations includes the first type of CSI, and the first node monitors the performance of each of the plurality of candidate operations by comparing the first type of CSI output by each of the plurality of candidate operations and the second type of CSI obtained based on the measurement on the M2 RS resources.

[0350] As one embodiment, the first operation is the one with the best performance among the plurality of candidate operations.

[0351] As one embodiment, the first operation is the one with the worst performance among the plurality of candidate operations.

[0352] As one embodiment, the first operation is the one that is most recently updated among the plurality of candidate operations.

[0353] As one embodiment, the first operation is the one that is most recently trained or re-trained among the plurality of candidate operations.

[0354] As one embodiment, the first operation is the one that is most recently deployed or re-deployed among the plurality of candidate operations.

[0355] As one embodiment, the measurement obtained based on the M1 RS resources is used as the input of the first operation.

[0356] As one embodiment, the channel measurement obtained based on the M1 RS resources is used as the input of the first operation.

[0357] As one embodiment, the measurement obtained based on the M1 RS resources is used to generate the input of the first operation.

[0358] As one embodiment, the channel measurements obtained based on the M1 RS resources are used to generate the input for the first operation.

[0359] As one embodiment, the input for the first operation includes measurements obtained based on the M1 RS resources.

[0360] As one embodiment, the input for the first operation includes measurements obtained based on at least one of the M1 RS resources.

[0361] As one embodiment, the input for the first operation includes measurements obtained based on each of the M1 RS resources.

[0362] As one embodiment, the input for the first operation includes channel measurements obtained based on the M1 RS resources.

[0363] As one embodiment, the input for the first operation includes channel measurements obtained based on at least one of the M1 RS resources.

[0364] As one embodiment, the input for the first operation includes channel measurements obtained based on each of the M1 RS resources.

[0365] As one embodiment, the input for the first operation includes RSRP of some or all of the M1 RS resources.

[0366] As one embodiment, the input for the first operation includes quantized RSRP of some or all of the M1 RS resources.

[0367] As one embodiment, the input for the first operation only relies on measurements for the M1 RS resources among the M1 RS resources and the M2 RS resources.

[0368] As one embodiment, the input for the first operation does not rely on measurements for the M2 RS resources.

[0369] As one embodiment, measurements for the M2 RS resources are not used for the input for the first operation.

[0370] As one embodiment, all or some of the M1 RS resources belong to the M2 RS resources, and measurements for any RS resource of the M2 RS resources that does not belong to the M1 RS resources are not used for the input for the first operation.

[0371] As one embodiment, measurements for the M2 RS resources are not used to generate the input for the first operation.

[0372] As an example, all or part of the M1 RS resources belong to the M2 RS resources, and a measurement for any RS resource of the M2 RS resources that does not belong to the M1 RS resources is not used to generate an input of the first operation.

[0373] As an example, an input of the first operation does not include a measurement for the M2 RS resources.

[0374] As an example, all or part of the M1 RS resources belong to the M2 RS resources, and an input of the first operation does not include a measurement for any RS resource of the M2 RS resources that does not belong to the M1 RS resources.

[0375] As an example, the first reporting information is used for performance monitoring of the first operation.

[0376] As an example, the problem to be solved by the present application includes how to configure and report related to performance monitoring of AI inference or training-based operation.

[0377] As an example, the first node assists the network in performance monitoring of the first operation by reporting the first reporting information.

[0378] As an example, the first node assists the sender of the first configuration information block in performance monitoring of the first operation by reporting the first reporting information.

[0379] Generally speaking, how to perform performance monitoring is determined by hardware device manufacturers themselves, and some non-limiting embodiments are introduced below:

[0380] As an example, the first reporting information includes a first UPT obtained based on an output of the first operation and a second UPT obtained based on measurements of the M2 RS resources, and if the first UPT is less than the second UPT and the difference between the two is greater than a threshold, the first operation is deactivated or falls back or switches.

[0381] As an example, the first reporting information includes a first BLER obtained based on an output of the first operation and a second BLER obtained based on measurements of the M2 RS resources, and if the first BLER is greater than the second BLER and the difference between the two is greater than a threshold, the first operation is deactivated or falls back or switches.

[0382] As one embodiment, the first reporting information comprises a CSI prediction accuracy obtained based on the output of the first operation and the measurement of the M2 RS resources, and the first operation is deactivated or fallback or switch if the CSI prediction accuracy is lower than a threshold.

[0383] As one embodiment, the first reporting information comprises a first (top-1) predicted beam obtained based on the first operation and a top-K (top-K) strongest beam obtained based on the measurement of the M2 RS resources, and the first operation is deactivated or fallback or switch if a percentage of the top-K strongest beam including the first predicted beam is lower than a threshold.

[0384] As one embodiment, the first reporting information comprises a top-K (top-K) predicted beam obtained based on the first operation and a first (top-1) strongest beam obtained based on the measurement of the M2 RS resources, and the first operation is deactivated or fallback or switch if a percentage of the top-K predicted beam including the first strongest beam is lower than a threshold.

[0385] As one embodiment, the first reporting information comprises a RSRP of a first (top-1) predicted beam obtained based on the first operation and a RSRP of a first (top-1) strongest beam obtained based on the measurement of the M2 RS resources, and the first operation is deactivated or fallback or switch if an average of a gap between the RSRP of the first predicted beam and the RSRP of the first strongest beam is greater than a threshold.

[0386] As one embodiment, the first reporting information comprises a success rate of correct prediction, and the first operation is deactivated or fallback or switch if the success rate of correct prediction is lower than a threshold.

[0387] Embodiment 2

[0388] Embodiment 2 illustrates a schematic diagram of a network architecture according to one embodiment of the present application, as shown in FIG. 2.

[0389] FIG. 2 illustrates a network architecture 200. The network architecture 200 is a 5G NR (New Radio) / LTE (Long-Term Evolution) / LTE-A (Long-Term Evolution Advanced) system, or the network architecture 200 is a 5G+ network architecture, or the network architecture 200 is a 6G network architecture, or the network architecture 200 is a network architecture adopted in 3GPP future continued evolution; the network architecture 200 can be referred to as 5GS (5G System) / EPS (Evolved Packet System), or the network architecture 200 can be referred to as 6GS (6G System); the network architecture 200 includes a UE (User Equipment) 201, a RAN (Radio Access Network) 202, a core network 210, a HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and at least one of an Internet service 230. The network architecture 200 can be interconnected with other access networks, but these entities / interfaces are not shown for simplicity. As illustrated, the network architecture 200 provides packet-switched services, however, those skilled in the art will readily appreciate that the various concepts presented throughout this application are amenable to use with networked systems including, but not limited to, other cellular systems, wireless or wired packet-switched network systems, or other mobile communication systems. The RAN includes a node 203. The RAN can also include other nodes 204. The node 203 provides user and control plane protocol terminations toward the UE 201. The node 203 can be connected to the other nodes 204 via an Xn interface (e.g., backhaul) / X2 interface. The node 203 can also be referred to as a base station, a base transceiver station, a radio base station, a radio transceiver, a transceiver function, a basic service set (BSS), an extended service set (ESS), a TRP (Transmit Receive Point), or some other suitable terminology. The core network 210 is a 5GC (5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is a 6GC; the node 203 provides an access point to the core network 210 for the UE 201.Examples of UE 201 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, aerial vehicles, narrowband internet of things devices, machine type communication devices, land vehicles, automobiles, wearable devices, or any other similar functional device. Those skilled in the art will also The node 203 is connected by an S1 / NG interface to the core network 210. The core network 210 includes a MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MME / AMF / SMF 214, a S-GW (Service Gateway) / UPF (User Plane Function) 212, and a P-GW (Packet Data Network Gateway) / UPF 213. The MME / AMF / SMF 211 is the control node that processes the signaling between UE 201 and the core network 210. Generally, the MME / AMF / SMF 211 provides bearer and connection management. All user IP (Internet Protocal) packets are transferred through the S-GW / UPF 212, which itself is connected to the P-GW / UPF 213. The P-GW provides UE IP address allocation as well as other functions. The P-GW / UPF 213 is connected to the Internet services 230. The Internet services 230 include operator corresponding Internet protocol services, which can specifically include the Internet, intranet, IMS (IP Multimedia Subsystem), and packet switching services.

[0390] As one embodiment, the first node comprises the UE 201.

[0391] As one embodiment, the second node comprises the node 203.

[0392] As one embodiment, the wireless link between the UE 201 and the node 203 comprises a cellular network link.

[0393] As one embodiment, the sender of the first configuration information block comprises the node 203.

[0394] As one embodiment, the receiver of the first configuration information block comprises the UE 201.

[0395] As one embodiment, the sender of the first reporting information comprises the UE 201.

[0396] As one embodiment, the receiver of the first reporting information comprises the node 203.

[0397] As one embodiment, the UE 201 supports AI or ML based operation.

[0398] As one embodiment, the UE 201 supports AI or ML based CSI.

[0399] As one embodiment, the node 203 supports AI or ML based operation.

[0400] As one embodiment, the node 203 supports AI or ML based CSI.

[0401] Embodiment 3

[0402] Embodiment 3 illustrates a schematic diagram of an embodiment of a radio protocol architecture for user plane and control plane, according to one embodiment of the application, as shown in FIG. 3.

[0403] Figure 3 is a schematic diagram illustrating an embodiment of a radio protocol architecture for a user plane 350 and a control plane 300, Figure 3 showing three layers of the radio protocol architecture for the control plane 300 between a first communication node device (UE, gNB or RSU in V2X) and a second communication node device (gNB, UE or RSU in V2X), or between two UEs: Layer 1, Layer 2, and Layer 3. Layer 1 (LI layer) is the lowest layer and implements various PHY (Physical layer) signal processing functions. The LI layer will be referred to as the PHY 301 herein. Layer 2 (L2 layer) 305 is above the PHY 301 and is responsible for the link between the first communication node device and the second communication node device, or between two UEs. The L2 layer 305 includes a MAC (Medium Access Control) sublayer 302, a RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate the functions of the second communication node device. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. The PDCP sublayer 304 also provides security functions, such as ciphering of the data packets, and header compression. The RLC sublayer 303 provides segmentation and reassembly of upper layer data packets, retransmission of lost data packets, and reordering of data packets to compensate for out-of-order reception due to HARQ. The MAC sublayer 302 provides multiplexing between logical and transport channels. The MAC sublayer 302 is also responsible for allocating the various radio resources (e.g., resource blocks) in one cell among the UEs. The MAC sublayer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sublayer 306 in Layer 3 (L3 layer) in the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and the use of RRC signaling between the second communication node device and the first communication node device for configuring the lower layers. The radio protocol architecture for the user plane 350 includes Layer 1 (LI layer) and Layer 2 (L2 layer), which are substantially the same as the corresponding layers and sublayers in the control plane 300 for the physical layer 351, the PDCP sublayer 354 in the L2 layer 355, the RLC sublayer 353 in the L2 layer 355, and the MAC sublayer 352 in the L2 layer 355 for the first communication node device and the second communication node device, but the PDCP sublayer 354 also provides header compression for upper layer data packets to reduce radio transmission overhead.The L2 layer 355 in the user plane 350 also includes a SDAP (Service Data Adaptation Protocol) sublayer 356, which is responsible for the mapping between a QoS flow and a data radio bearer (DRB) to support the diversity of services. Although not illustrated, the first communication node device can have several upper layers above the L2 layer 355, including a network layer (e.g., IP layer) that terminates at a P-GW on the network side and an application layer that terminates at the other end of the connection (e.g., a remote UE, a server, etc.).

[0404] As one embodiment, the wireless protocol architecture in FIG. 3 is applicable to the first node.

[0405] As one embodiment, the wireless protocol architecture in FIG. 3 is applicable to the second node.

[0406] As one embodiment, the higher layer in this application refers to the layer above the physical layer.

[0407] As one embodiment, the first configuration information block is generated at the RRC sublayer 306.

[0408] As one embodiment, the first reporting information is generated at the PHY 301 or the PHY 351.

[0409] As one embodiment, the update of the first reporting is performed at the PHY 301 or the PHY 351.

[0410] As one embodiment, the first signaling is generated at the PHY 301 or the PHY 351.

[0411] Embodiment 4

[0412] Embodiment 4 illustrates a schematic diagram of a first communication device and a second communication device according to one embodiment of the present application, as shown in FIG. 4. FIG. 4 is a block diagram of a first communication device 410 and a second communication device 450 that communicate with each other in an access network.

[0413] 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.

[0414] The second communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmit processor 468, a receive processor 456, a multi-antenna transmit processor 457, a multi-antenna receive processor 458, a transmitter / receiver 454, and antennas 452.

[0415] In the transmission from the first communication device 410 to the second communication device 450, at the first communication device 410, upper layer packets from a core network are provided to the controller / processor 475. The controller / processor 475 implements functionality of the L2 layer. In the DL (DownLink), the controller / processor 475 provides header compression, ciphering, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocations for the second communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the second communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for the LI layer (i.e., physical layer). The transmit processor 416 implements coding and interleaving to facilitate forward error correction (FEC) at the second communication device 450, and constellation mapping based on various modulation schemes (e.g., binary phase-shift keying (BPSK), quadrature phase-shift keying (QPSK), M-phase-shift keying (M-PSK), M-quadrature amplitude modulation (M-QAM)). The multi-antenna transmit processor 471 performs digital spatial pre-coding of the coded and modulated symbols, including codebook-based and non-codebook-based pre-coding, and beamforming processing, generating one or more parallel streams. The transmit processor 416 then maps to each parallel stream to subcarriers, multiplexes the modulated symbols with reference signals (e.g., pilot) in time domain and / or frequency domain, and then performs an inverse fast Fourier transform (IFFT) to generate time domain multi-carrier symbol streams. The multi-antenna transmit processor 471 then performs transmit analog pre-coding / beamforming operations on the time domain multi-carrier symbol streams. Each transmitter 418 converts the baseband multi-carrier symbol streams provided by the multi-antenna transmit processor 471 into radio frequency streams, which are then provided to different antennas 420.

[0416] In transmission from the first communication device 410 to the second communication device 450, at the second communication device 450, each receiver 454 receives a signal through its respective antenna 452. Each receiver 454 recovers information modulated onto an RF carrier and converts the RF stream into a baseband, multicarrier symbol stream to be provided to a receive processor 456. The receive processor 456 and a multiple access receive processor 458 implement various signal processing functions of the Ll layer. The multiple access receive processor 458 performs receive analog precoding / beamforming operations on the baseband, multicarrier symbol stream from the receivers 454. The receive processor 456 converts the baseband, multicarrier symbol stream from the receive analog precoding / beamforming operations from the time domain to the frequency domain using a Fast Fourier Transform (FFT). In the frequency domain, the physical layer data signals and the reference signals are demultiplexed by the receive processor 456, with the reference signals to be used for channel estimation and the data signals to be recovered after multi-antenna detection in the multiple access receive processor 458 for any parallel streams destined to the second communication device 450. The symbols on each parallel stream are demodulated and recovered in the receive processor 456 and generate soft decisions. The receive processor 456 then decodes and de-interleaves the soft decisions to recover the upper layer data and control signals transmitted by the first communication device 410 on the physical channels. The upper layer data and control signals are then provided to a controller / processor 459. The controller / processor 459 implements the functions of the L2 layer. The controller / processor 459 can be associated with a memory 460 that stores program codes and data. The memory 460 can be referred to as a computer-readable medium. In the DL, the controller / processor 459 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover upper layer data packets from the core network. The upper layer data packets are then provided to all protocol layers above the L2 layer. Various control signals can also be provided to the L3 for L3 processing. The controller / processor 459 is also responsible for error detection using an acknowledgement (ACK) and / or negative acknowledgement (NACK) protocol to support HARQ operations.

[0417] In the transmission from the second communication device 450 to the first communication device 410, at the second communication device 450, a data source 467 is used to provide upper layer packets to a controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmit function described at the first communication device 410 in the DL, the controller / processor 459 implements header compression, ciphering, packet segmentation and reordering, and multiplexing between logical and transport channels based on radio resource allocations for the first communication device 410, implements L2 layer functionality for the user plane and control plane. The controller / processor 459 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the first communication device 410. A transmit processor 468, in conjunction with a multi-antenna transmit processor 457, performs modulation mapping, channel coding processing, digital multi-antenna spatial processing, including codebook-based and non-codebook-based precoding, and beamforming processing, and then the transmit processor 468 creates parallel streams of coded and modulated symbols for the different antenna ports, which are provided to different antennas 452 via separate transmitters 454 after analog precoding / beamforming at the multi-antenna transmit processor 457. Each transmitter 454 then converts the baseband streams into radio frequency signals and transmits the radio frequency signals via the antennas 452.

[0418] In the transmission from the second communication device 450 to the first communication device 410, the functionality at the first communication device 410 is similar to the functionality described in connection with the reception at the second communication device 450 in the transmission from the first communication device 410 to the second communication device 450. Each receiver 418 receives a radio frequency signal through its respective antenna 420, converts the received radio frequency signal into a baseband signal, and provides the baseband signal to a multi-antenna receive processor 472 and a receive processor 470. The receive processor 470 and the multi-antenna receive processor 472, in conjunction with one another, implement the functionality of the L1 layer. A controller / processor 475 implements the functionality of the L2 layer. The controller / processor 475 can be associated with a memory 476 that stores program codes and data. The memory 476 can be referred to as a computer-readable medium. The controller / processor 475 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover upper layer packets from the second communication device 450. Upper layer packets from the controller / processor 475 can be provided to a core network. The controller / processor 475 is also responsible for error detection using an ACK and / or NACK protocol to support HARQ operations.

[0419] As one embodiment, the second communication device 450 comprises: at least one processor and at least one memory including a computer program code; the at least one memory and the computer program code are configured to, with the at least one processor, cause the second communication device 450 to perform at least the following: receiving the first configuration information block; sending the first reporting information. The first configuration information block indicates M1 RS resources and M2 RS resources, the M1 and the M2 are positive integers greater than 1 respectively; the first reporting information is for the first configuration information block; the first reporting information depends on an output of a first operation and measurements for the M2 RS resources, an input of the first operation depends on measurements for the M1 RS resources.

[0420] As one embodiment, the second communication device 450 comprises: a memory storing a computer readable program of instructions which, when executed by at least one processor, causes performance of actions comprising: receiving the first configuration information block; sending the first reporting information.

[0421] As one embodiment, the first communication device 410 comprises: at least one processor and at least one memory including a computer program code; the at least one memory and the computer program code are configured to, with the at least one processor, cause the first communication device 410 to perform at least the following: sending the first configuration information block; receiving the first reporting information. The first configuration information block indicates M1 RS resources and M2 RS resources, the M1 and the M2 are positive integers greater than 1 respectively; the first reporting information is for the first configuration information block; the first reporting information depends on an output of a first operation and measurements for the M2 RS resources, an input of the first operation depends on measurements for the M1 RS resources.

[0422] As one embodiment, the first communication device 410 comprises: a memory storing a computer readable program of instructions which, when executed by at least one processor, causes performance of actions comprising: sending the first configuration information block; receiving the first reporting information.

[0423] As one embodiment, the first node in the present application comprises the second communication device 450.

[0424] As one embodiment, the second node in the present application comprises the first communication device 410.

[0425] As an embodiment, at least one of {the antenna 452, the receiver 454, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is configured to receive the first configuration information block; at least one of {the antenna 420, the transmitter 418, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, the memory 476} is configured to transmit the first configuration information block.

[0426] As an embodiment, at least one of {the antenna 420, the receiver 418, the receive processor 470, the multi-antenna receive processor 472, the controller / processor 475, the memory 476} is configured to receive the first reporting information; at least one of {the antenna 452, the transmitter 454, the transmit processor 468, the multi-antenna transmit processor 457, the controller / processor 459, the memory 460, the data source 467} is configured to transmit the first reporting information.

[0427] As an embodiment, at least one of {the antenna 452, the receiver 454, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is configured to receive the first signaling; at least one of {the antenna 420, the transmitter 418, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, the memory 476} is configured to transmit the first signaling.

[0428] As an embodiment, at least one of {the antenna 452, the receiver 454, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is configured to update the first reporting.

[0429] Embodiment 5

[0430] Embodiment 5 illustrates a flowchart of transmission according to an embodiment of the present application; as shown in FIG. 5. In FIG. 5, the second node U1 and the first node U2 are communication nodes for transmission over an air interface. In FIG. 5, the steps in the block F51 to the block F53 are optional respectively.

[0431] For the second node U1, the first configuration information block is transmitted in the step S511; the first signaling is transmitted in the step S5101; the first reporting information is received in the step S512.

[0432] For the first node U2, deploying a first operation in step S5201; receiving a first configuration information block in step S521; receiving a first signaling in step S5202; updating a first reporting in step S5203; and sending a first reporting information in step S522.

[0433] In embodiment 5, the first configuration information block indicates M1 RS resources and M2 RS resources, the M1 and the M2 are positive integers greater than 1 respectively; the first reporting information is for the first configuration information block; the first reporting information depends on an output of the first operation and a measurement for the M2 RS resources, an input of the first operation depends on a measurement for the M1 RS resources.

[0434] As an embodiment, the first node U2 is the first node in the present application.

[0435] As an embodiment, the second node U1 is the second node in the present application.

[0436] 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.

[0437] 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.

[0438] As an embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between a user equipment and a user equipment.

[0439] As an embodiment, the second node U1 is a serving cell maintaining base station of the first node U2.

[0440] As an embodiment, the first configuration information block is transmitted on a PDSCH (Physical Downlink Shared Channel).

[0441] As an embodiment, the first reporting information is transmitted on a PUSCH (Physical Uplink Shared Channel).

[0442] As an embodiment, the first reporting information is transmitted on a PUCCH (Physical Uplink Control Channel).

[0443] As an embodiment, the first node obtains a channel measurement for calculating the first reporting information based on a transmission occasion of the M1 RS resources no later than a first reference time slot.

[0444] As one embodiment, for any RS resource of the M1 RS resources, the first node obtains the channel measurement for calculating the first reported information based on only the transmission occasion of this RS resource no later than a first reference time slot.

[0445] As one embodiment, for any RS resource of the M1 RS resources, the first node obtains the channel measurement for calculating the first reported information based on only the most recent transmission occasion of this RS resource no later than a first reference time slot.

[0446] As one embodiment, the first node obtains the channel measurement for calculating the first reported information based on the transmission occasion of the M2 RS resources no later than a first reference resource.

[0447] As one embodiment, for any RS resource of the M2 RS resources, the first node obtains the channel measurement for calculating the first reported information based on only the transmission occasion of this RS resource no later than a first reference time slot.

[0448] As one embodiment, for any RS resource of the M2 RS resources, the first node obtains the channel measurement for calculating the first reported information based on only the most recent transmission occasion of this RS resource no later than a first reference time slot.

[0449] As one embodiment, the first reference time slot depends on the time domain resource of the first reported information.

[0450] As one embodiment, the first reference time slot depends on n0 and a first offset, the first reported information is transmitted in time slot n1; the n0 depends on the n1, and the first offset is an integer.

[0451] As one embodiment, the first reference time slot is time slot (n0 - the first offset).

[0452] As one embodiment, the n0 depends on the downlink subcarrier spacing configuration.

[0453] As one embodiment, the n0 depends on the uplink subcarrier spacing configuration.

[0454] As one 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 and 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.

[0455] As one embodiment, the n0 is equal to the n1 and the first ratio multiplied together and rounded down.

[0456] As one embodiment, the n0 is equal to the n1 and the first ratio multiplied together and rounded down plus a third offset; the third offset is an integer.

[0457] As one sub-embodiment of the above embodiment, the third offset depends on a higher layer parameter "ca-SlotOffset".

[0458] As one sub-embodiment of the above embodiment, the third offset depends on a downlink subcarrier spacing configuration.

[0459] As one 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, the first given integer is equal to a downlink subcarrier spacing configuration.

[0460] As one embodiment, the first offset depends on a downlink subcarrier spacing configuration.

[0461] As one embodiment, the first reporting is aperiodic, the first offset is such that the first reference time slot and the first signaling are in the same valid downlink time slot.

[0462] As one embodiment, the first offset is a minimum value that is greater than or equal to a first threshold and such that the time slot (n0 - the first offset) corresponds to a valid downlink time slot; the first threshold is an integer.

[0463] As one sub-embodiment of the above embodiment, the first threshold is related to a downlink subcarrier spacing configuration.

[0464] As one sub-embodiment of the above embodiment, the first threshold is related to a delay requirement.

[0465] As one embodiment, the first reference time slot is the time slot (n0 - the first offset - a second offset), the second offset is a positive integer.

[0466] As one sub-embodiment of the above embodiment, the second offset depends on a higher layer parameter "CellSpecificKoffset".

[0467] As one sub-embodiment of the above embodiment, the second offset depends on a Differential Koffset MAC CE command.

[0468] As a sub-example of the above example, the second offset depends on a downlink subcarrier spacing configuration.

[0469] As an example, a subcarrier spacing configuration of the M1 RS resources is the downlink subcarrier spacing configuration.

[0470] As an example, a subcarrier spacing configuration of the M2 RS resources is the downlink subcarrier spacing configuration.

[0471] As an example, a subcarrier spacing configuration of the first reporting information is the uplink subcarrier spacing configuration.

[0472] As an example, the downlink subcarrier spacing configuration is a non-negative integer.

[0473] As an example, the downlink subcarrier spacing configuration has no unit.

[0474] As an example, the uplink subcarrier spacing configuration is a non-negative integer.

[0475] As an example, the uplink subcarrier spacing configuration has no unit.

[0476] As an example, a subcarrier spacing of a downlink signal is equal to 2 raised to the power of the downlink subcarrier spacing configuration times 15 kHz.

[0477] As an example, a subcarrier spacing of an uplink signal is equal to 2 raised to the power of the uplink subcarrier spacing configuration times 15 kHz.

[0478] As an example, the step in block F51 in FIG. 5 exists, and the method in the first node for wireless communication includes deploying the first operation.

[0479] As an example, the deployment of the first operation is earlier than the reception of the first configuration information block.

[0480] As an example, the deployment of the first operation is later than the reception of the first configuration information block.

[0481] As an example, the first operation is deployment-free.

[0482] As an example, the benefits of the above method include supporting joint training and optimization, further improving performance.

[0483] As an example, the step in block F51 in FIG. 5 does not exist, and the first operation is deployment-free.

[0484] As an embodiment, the first operation is trained by the first node, and the first operation does not need to be deployed.

[0485] As an embodiment, the above manner has the benefits of more flexible adaptation to different terminals and reduced air interface overhead.

[0486] As an embodiment, the N first type CSIs depend on the output of the first operation, the N first type CSIs are respectively for N time slot intervals, any time slot interval of the N time slot intervals includes one or more time slots; N second type CSIs respectively depend on measurements for N groups of transmission occasions, any group of transmission occasions of the N groups of transmission occasions includes transmission occasions of part or all of the M2 RS resources; and the N is a positive integer.

[0487] As an embodiment, the N time slot intervals are orthogonal to each other in time domain.

[0488] As an embodiment, the N groups of transmission occasions are orthogonal to each other in time domain.

[0489] As an embodiment, one group of transmission occasions of the N groups of transmission occasions includes two transmission occasions overlapping in time domain.

[0490] As an embodiment, any group of transmission occasions of the N groups of transmission occasions includes two transmission occasions overlapping in time domain.

[0491] As an embodiment, transmission occasions in any group of transmission occasions of the N groups of transmission occasions are orthogonal to each other in time domain.

[0492] As an embodiment, the N groups of transmission occasions are respectively located in the N time slot intervals in time domain.

[0493] As an embodiment, any group of transmission occasions of the N groups of transmission occasions includes one transmission occasion of each of the M2 RS resources.

[0494] As an embodiment, any group of transmission occasions of the N groups of transmission occasions includes one transmission occasion of each of only part of the M2 RS resources.

[0495] As an embodiment, the first report information includes the N first type CSIs and the N second type CSIs.

[0496] As an embodiment, the above method has the benefits of reporting CSI to assist network side in calculating performance metrics, supporting joint optimization, and further improving system performance.

[0497] As an embodiment, the first reporting information does not include the N first type CSI and the N second type CSI.

[0498] As an embodiment, the first reporting information depends on the N first type CSI and the N second type CSI.

[0499] As an embodiment, the first reporting information includes a first performance metric, the first performance metric depends on the N first type CSI and the N second type CSI.

[0500] As an embodiment, the first reporting information includes a first performance metric, the first performance metric depends on the N first type CSI and the N second type CSI, the first reporting information does not include the N first type CSI and the N second type CSI.

[0501] As an embodiment, the above method has the benefit of reporting performance metric instead of CSI, reducing reporting overhead.

[0502] As an embodiment, the above method has the benefit of UE having more freedom, supporting more different terminals.

[0503] As an embodiment, the calculation of the first performance metric depends on the N first type CSI and the N second type CSI.

[0504] As an embodiment, the N first type CSI and the N second type CSI both depend on the first configuration information block.

[0505] As an embodiment, the N depends on the first configuration information block.

[0506] As an embodiment, the first configuration information block indicates the N.

[0507] As an embodiment, the N first type CSI includes which feedbacks depend on the first configuration information block.

[0508] As an embodiment, the first configuration information block indicates which feedbacks the N first type CSI includes.

[0509] As an embodiment, the N second type CSI includes which feedbacks depend on the first configuration information block.

[0510] As an embodiment, the first configuration information block indicates which feedbacks the N second type CSI includes.

[0511] As an embodiment, any of the N groups of transmission occasions is the nearest one of the corresponding RS resources no later than a first reference time slot.

[0512] As one embodiment, for the M2 RS resources, the first node only obtains channel measurements for calculating the first reporting information based on the N sets of transmission occasions.

[0513] As one embodiment, for any RS resource of the M2 RS resources, the first node only obtains channel measurements for calculating the first reporting information based on transmission occasions of this RS resource in the N sets of transmission occasions.

[0514] As one embodiment, the first node obtains channel measurements for calculating the first reporting information based on transmission occasions of the M1 RS resources no later than the N sets of transmission occasions.

[0515] As one embodiment, for any RS resource of the M1 RS resources, the first node only obtains channel measurements for calculating the first reporting information based on transmission occasions of this RS resource no later than the N sets of transmission occasions.

[0516] As one embodiment, for any RS resource of the M1 RS resources, the first node only obtains channel measurements for calculating the first reporting information based on the latest transmission occasion of this RS resource no later than the N sets of transmission occasions.

[0517] As one embodiment, no later than the N sets of transmission occasions means no later than the earliest transmission occasion of the N sets of transmission occasions.

[0518] As one embodiment, no later than the N sets of transmission occasions means no later than the latest transmission occasion of the N sets of transmission occasions.

[0519] As one embodiment, the first configuration information block indicates a first identity, and the first operation is associated to the first identity.

[0520] As one embodiment, whether there is an RS resource in the M1 RS resources and an RS resource in the M2 RS resources have the same quasi co-location relationship, and the capability of the first node U2 are related.

[0521] As one embodiment, the step in block F52 in Figure 5 exists, and the first signaling triggers the first reporting information.

[0522] As one embodiment, the first signaling is transmitted on a PDCCH (Physical Downlink Control Channel).

[0523] As one embodiment, the step in block F53 in FIG. 5 exists, the first configuration information block is used to configure the first report, the first report occupies P processing elements.

[0524] As one embodiment, the first report occupies the processing elements from a first symbol to a second symbol; the first symbol depends on the M1 RS resources, the second symbol depends on time domain resources allocated to the first report information.

[0525] As one embodiment, the first report occupies the P processing elements from the first symbol to the second symbol.

[0526] As one embodiment, the P depends on a first value and a second value, the first value depends on the M1, the second value depends on the M2.

[0527] As one embodiment, the P depends on a first component, the first component is related to the first operation.

[0528] As one embodiment, the first report occupies P1 processing elements, the P1 is related to the first operation.

[0529] Embodiment 6

[0530] Embodiment 6 illustrates a schematic diagram of M1 RS resources and M2 RS resources according to one embodiment of the present application; as shown in FIG. 6. In embodiment 6, the M1 RS resources are periodic or quasi-static, a length of a period of each RS resource in the M1 RS resources is a first period length; the M2 RS resources are periodic or quasi-static, a length of a period of each RS resource in the M2 RS resources is a second period length; the first period length is greater than the second period length.

[0531] As one embodiment, the first period length is an integer multiple of the second period length.

[0532] As one embodiment, the first period length is N times of the second period length.

[0533] As one embodiment, the N groups of transmission occasions include transmission occasions of each RS resource in the M2 RS resources in N consecutive periods.

[0534] As one embodiment, any RS resource in the M1 RS resources is different from any RS resource in the M2 RS resources.

[0535] As one embodiment, any RS resource in the M2 RS resources is different from any RS resource in the M1 RS resources.

[0536] Embodiment 7

[0537] Embodiment 7 illustrates a schematic diagram of M1 RS resources and M2 RS resources according to one embodiment of the present application; as shown in FIG. 7. In embodiment 7, the M1 RS resources are periodic or quasi-static, and the M2 RS resources are periodic or quasi-static; part of the M1 RS resources belong to the M2 RS resources, and the length of the period of any RS resource in the M1 RS resources that does not belong to the M2 RS resources is a first period length; the length of the period of each RS resource in the M2 RS resources is a second period length; the first period length is greater than the second period length.

[0538] As one embodiment, the first period length is an integer multiple of the second period length.

[0539] As one embodiment, the first period length is N times the second period length.

[0540] As one embodiment, the N groups of transmission occasions include transmission occasions of each RS resource in the M2 RS resources in N consecutive periods.

[0541] As one embodiment, a first RS resource set includes the M1 RS resources, a second RS resource set includes the M2 RS resources, and part of the M1 RS resources belong to the M2 RS resources.

[0542] As one sub-embodiment of the above embodiment, the part of the RS resources is a common part of the first RS resource set and the second RS resource set.

[0543] As one sub-embodiment of the above embodiment, the period of the part of the RS resources in the first RS resource set is different from the period of the M1 RS resources in the second RS resource set.

[0544] As one 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 the RS resources is transmitted only once.

[0545] Embodiment 8

[0546] Embodiment 8 illustrates a schematic diagram of M1 RS resources and M2 RS resources according to an embodiment of the present application; as shown in FIG. 8. In Embodiment 8, the M1 RS resources are periodic or quasi-static, a length of a period of each of the M1 RS resources is a first period length; the M2 RS resources are periodic or quasi-static, the M2 RS resources comprise N groups of RS resources, each of the N groups of RS resources comprises part of the M2 RS resources, a length of a period of each of the M2 RS resources is the first period length.

[0547] In FIG. 8, the N groups of RS resources are denoted as RS resource group #0, …, RS resource group #(N-1) respectively.

[0548] As an embodiment, the N groups of RS resources are orthogonal to each other in time domain two by two.

[0549] Embodiment 9

[0550] Embodiment 9 illustrates a schematic diagram of M1 RS resources and M2 RS resources according to an embodiment of the present application; as shown in FIG. 9. In Embodiment 9, the M1 RS resources are periodic or quasi-static, a length of a period of each of the M1 RS resources is a first period length; the M2 RS resources are aperiodic, the first signaling triggers the N groups of transmission occasions.

[0551] In FIG. 9, the N groups of transmission occasions are denoted as transmission occasion group #0, …, transmission occasion group #(N-1) respectively.

[0552] As an embodiment, the first signaling triggers the M2 RS resources.

[0553] As an embodiment, the first signaling triggers N times of transmission of each of the M2 RS resources.

[0554] As a sub-embodiment of the above-mentioned embodiment, an interval between an earliest symbol and a latest symbol of the N times of transmission is no more than the first period length.

[0555] As a sub-embodiment of the above-mentioned embodiment, the N times of transmission are within a same period of any of the M1 RS resources in time domain.

[0556] As an embodiment, an interval between an earliest symbol and a latest symbol of the N groups of transmission occasions is no more than the first period length.

[0557] As an example, the N groups of transmission occasions are located within a same period of any of the M1 RS resources in time domain.

[0558] As an example, the first signaling indicates time domain resources of the N groups of transmission occasions.

[0559] As an example, the N groups of transmission occasions belong to the N time slot intervals respectively in time domain.

[0560] As an example, the first signaling indicates time domain resources of the N groups of transmission occasions, such that the N groups of transmission occasions belong to the N time slot intervals respectively in time domain.

[0561] Embodiment 10

[0562] Embodiment 10 illustrates a schematic diagram of M1 RS resources and M2 RS resources according to an embodiment of the present application; as shown in FIG. 10. In embodiment 10, the M1 RS resources are periodic or quasi-static, a length of a period of each RS resource in the M1 RS resources is a first period length; the M2 RS resources are aperiodic, the M2 RS resources include N RS resource groups, each RS resource group in the N RS resource groups includes part of RS resources in the M2 RS resources.

[0563] In FIG. 10, the N RS resource groups are respectively denoted as RS resource group #0, …, RS resource group #(N-1).

[0564] As an example, the first signaling triggers a transmission of each RS resource in the M2 RS resources.

[0565] As an example, the N RS resource groups are orthogonal to each other in time domain.

[0566] Embodiment 11

[0567] Embodiment 11 illustrates a schematic diagram of deploying a first operation according to an embodiment of the present application; as shown in FIG. 11. In embodiment 11, the first node makes a request to a first producer to load the first operation, and obtains the first operation from the first producer.

[0568] As an example, the deployment includes obtaining the first operation.

[0569] As an example, the deployment includes obtaining an AI entity.

[0570] As an example, the deployment includes obtaining an AI entity that executes the first operation.

[0571] As one embodiment, the deploying includes obtaining an AI entity including an AI function performing the first operation.

[0572] As one embodiment, the deploying includes obtaining an AI function.

[0573] As one embodiment, the deploying includes obtaining an AI function performing the first operation.

[0574] As one embodiment, the deploying includes loading the first operation.

[0575] As one embodiment, the deploying includes making a request to load the first operation.

[0576] As one embodiment, the request in FIG. 11 is a request to load the first operation made by the first node.

[0577] As one embodiment, the response in FIG. 11 is a response to the request to load the first operation made by the first node.

[0578] As one embodiment, the first node obtains the first operation through the response in FIG. 11.

[0579] As one embodiment, the first node obtains a model of the first operation through the response in FIG. 11.

[0580] As one embodiment, the first node obtains an AI entity including an AI function performing the first operation through the response in FIG. 11.

[0581] As one embodiment, the first node obtains an AI function performing the first operation through the response in FIG. 11.

[0582] As one embodiment, the first producer provides the first operation to the first node through the response in FIG. 11.

[0583] As one embodiment, the first producer provides a model of the first operation to the first node through the response in FIG. 11.

[0584] As one embodiment, the first producer provides an AI entity including an AI function performing the first operation to the first node through the response in FIG. 11.

[0585] As one embodiment, the first producer provides an AI function performing the first operation to the first node through the response in FIG. 11.

[0586] As one embodiment, the deploying is done by an AI function.

[0587] As one embodiment, the deploying is done by an AI function deployed at the first node.

[0588] As one embodiment, the deploying is done by an AI deployment function.

[0589] As one embodiment, the deploying is done by an AI deployment function deployed at the first node.

[0590] As one embodiment, the deploying is done by an AI inference function.

[0591] As one embodiment, the deploying is done by an AI inference function deployed at the first node.

[0592] As one embodiment, the deploying is done by an AI entity.

[0593] As one embodiment, the deploying is done by an AI entity deployed at the first node.

[0594] As one embodiment, the deploying is done by an AI entity with a deployment function.

[0595] As one embodiment, the deploying is done by an AI entity with a deployment function deployed at the first node.

[0596] As one embodiment, the deploying is done by an AI entity with an inference function.

[0597] As one embodiment, the deploying is done by an AI entity with an inference function deployed at the first node.

[0598] As one embodiment, the deploying includes obtaining the first operation from a first producer.

[0599] As one embodiment, the deploying includes making a request to a first producer to load the first operation.

[0600] As one embodiment, the deploying includes loading the first operation from a first producer.

[0601] As one embodiment, the first producer generates and provides an AI model.

[0602] As one embodiment, the first producer generates and provides an AI entity.

[0603] As one embodiment, the first producer generates and provides an AI function.

[0604] As one embodiment, the first producer is a producer of the first operation.

[0605] As one embodiment, the first producer is a trained producer of the first operation.

[0606] As one embodiment, the first producer includes an AI entity producer.

[0607] As one embodiment, the first producer includes an AI function producer.

[0608] As one embodiment, the first producer includes an AI deployment producer.

[0609] As one embodiment, the first producer includes an AI loading producer.

[0610] As one embodiment, the first producer includes an AI training producer.

[0611] As one embodiment, the first producer includes an AI inference producer.

[0612] As one embodiment, the first producer includes a deployment producer of an AI entity.

[0613] As one embodiment, the first producer includes a loading producer of an AI entity.

[0614] As one embodiment, the first producer includes a training producer of an AI model.

[0615] As one embodiment, the first producer includes an MnS (Management Service) producer.

[0616] As one embodiment, the first producer is a serving cell of the first node.

[0617] As one embodiment, the first producer is a maintaining base station of a serving cell of the first node.

[0618] As one embodiment, the first producer is a core network.

[0619] As one embodiment, the first producer is a transmitter of the first configuration information block.

[0620] As one embodiment, the first producer is different from a transmitter of the first configuration information block.

[0621] As one embodiment, the training of the first operation is performed by the first producer.

[0622] Embodiment 12

[0623] Embodiment 12 illustrates a schematic diagram of N first type of CSI depending on the output of a first operation according to one embodiment of the application; as shown in FIG. 12.

[0624] As one embodiment, the N is configurable.

[0625] As one embodiment, the N is configured by higher layer signaling.

[0626] As one embodiment, the N is configured by RRC signaling.

[0627] As one embodiment, the N is configured by the first configuration information block.

[0628] As one embodiment, the N is configured to the first operation.

[0629] As one embodiment, the N is greater than 1.

[0630] As one embodiment, the N is equal to 1.

[0631] As one embodiment, the first type of CSI includes at least one of CRI, SSBRI and RSRP.

[0632] As one embodiment, the first type of CSI includes CRI.

[0633] As one embodiment, the first type of CSI includes SSBRI.

[0634] As one embodiment, the first type of CSI includes RSRP.

[0635] As one embodiment, the first type of CSI includes CRI and RSRP.

[0636] As one embodiment, the first type of CSI includes SSBRI and RSRP.

[0637] As one embodiment, the first type of CSI includes at least one of a predicted CRI, a predicted SSBRI, and a predicted RSRP.

[0638] As one embodiment, the first type of CSI includes a predicted CRI.

[0639] As one embodiment, the first type of CSI includes a predicted SSBRI.

[0640] As one embodiment, the first type of CSI includes a predicted CRI and a predicted RSRP.

[0641] As one embodiment, the first type of CSI includes a predicted SSBRI and a predicted RSRP.

[0642] As one embodiment, any of the N first type of CSI includes K1 RS resource identifications, the K1 being a positive integer.

[0643] As one embodiment, any of the N first type of CSI includes K1 RS resource identifications and includes K1 RSRPs.

[0644] As one subembodiment of the above embodiment, the K1 RSRPs are respectively RSRPs of RSs identified by the K1 RS resource identifications.

[0645] As one embodiment, at least one of the K1 RS resource identifications identifies a RS resource not belonging to the M1 RS resources.

[0646] As one embodiment, any of the K1 RS resource identifications identifies a RS resource not belonging to the M1 RS resources.

[0647] As one embodiment, at least one of the K1 RS resource identifications identifies a RS resource belonging to the M2 RS resources.

[0648] As one embodiment, any of the K1 RS resource identifications identifies a RS resource belonging to the M2 RS resources.

[0649] As one embodiment, the RS resource identification includes a CRI.

[0650] As one embodiment, the RS resource identification includes a SSBRI.

[0651] As one embodiment, the RS resource identification is a CRI or a SSBRI.

[0652] As an embodiment, the K1 is configurable.

[0653] As an embodiment, the K1 is configured by higher layer signaling.

[0654] As an embodiment, the K1 is configured by RRC signaling.

[0655] As an embodiment, the K1 is configured by the first configuration information block.

[0656] As an embodiment, the K1 is configured for the first operation.

[0657] As an embodiment, the K1 is greater than 1.

[0658] As an embodiment, the K1 is equal to 1.

[0659] As an embodiment, the output of the first operation includes the N first type CSI.

[0660] As an embodiment, the N first type CSI is dependent on the output of the first operation, which means that the output of the first operation includes the N first type CSI.

[0661] As an embodiment, the output of the first operation is quantized to obtain the N first type CSI.

[0662] As an embodiment, the N first type CSI includes CRI or SSBRI included in the output of the first operation, and includes quantized RSRP included in the output of the first operation.

[0663] Embodiment 13

[0664] Embodiment 13 illustrates a schematic diagram of N first type CSI respectively for N time slot intervals according to an embodiment of the present application; as shown in FIG. 13. In FIG. 13, the N first type CSI are respectively denoted as first type CSI#0, …, first type CSI#(N-1); the N time slot intervals are respectively denoted as time slot interval#0, …, time slot interval#(N-1).

[0665] As an embodiment, the N first type CSI are respectively associated with the N time slot intervals.

[0666] As an embodiment, the N first type CSI are respectively CSI in the N time slot intervals.

[0667] As an embodiment, the N first type CSI are respectively predicted CSI in the N time slot intervals.

[0668] As one embodiment, the prediction comprises spatial prediction.

[0669] As one embodiment, the prediction comprises temporal prediction.

[0670] As one embodiment, the prediction comprises spatial prediction and temporal prediction.

[0671] As one embodiment, the N first type of CSI respectively comprises RS resource identification for the N time slot intervals.

[0672] As one embodiment, the N first type of CSI respectively comprises RS resource identification and RSRP for the N time slot intervals.

[0673] As one embodiment, the N first type of CSI respectively comprises predicted RS resource identification for the N time slot intervals.

[0674] As one embodiment, the N first type of CSI respectively comprises predicted RS resource identification and RSRP for the N time slot intervals.

[0675] As one embodiment, the N time slot intervals are mutually orthogonal in pairs.

[0676] As one embodiment, any of the N time slot intervals comprises one or more consecutive time slots.

[0677] As one embodiment, any two of the N time slot intervals comprise equal number of time slots.

[0678] As one embodiment, each of the N time slot intervals comprises d time slots, and the d is configurable.

[0679] As one sub-embodiment of the above embodiment, the d is configured by higher layer signaling.

[0680] As one sub-embodiment of the above embodiment, the d is configured by RRC signaling.

[0681] As one sub-embodiment of the above embodiment, the d is configured by the first configuration information block.

[0682] As one sub-embodiment of the above embodiment, the d is configured for the first operation.

[0683] As one embodiment, the N time slot intervals are consecutive in time domain.

[0684] As one embodiment, the earliest one of the N time intervals depends on a first set of transmission occasions, the first set of transmission occasions comprising one transmission occasion for each of the M1 RS resources, the first set of transmission occasions being the most recent transmission occasions of the M1 RS resources for obtaining channel measurements for computing the first reporting information.

[0685] As one embodiment, for any one of the M1 RS resources, the transmission occasion of this RS resource in the first set of transmission occasions is the most recent transmission occasion of this RS resource for obtaining channel measurements for computing the first reporting information.

[0686] As one embodiment, the earliest one of the N time intervals depends on the earliest one of the slots to which the transmission occasions in the first set of transmission occasions belong.

[0687] As one embodiment, the earliest one of the N time intervals depends on the latest one of the slots to which the transmission occasions in the first set of transmission occasions belong.

[0688] As one embodiment, the earliest one of the N time intervals is slot (t1 + fourth offset), the fourth offset being an integer, the t1 depending on the first set of transmission occasions.

[0689] As one sub-embodiment of the above embodiment, the latest one of the transmission occasions in the first set of transmission occasions is in slot t1.

[0690] As one sub-embodiment of the above embodiment, the earliest one of the transmission occasions in the first set of transmission occasions is in slot t1.

[0691] As one embodiment, the earliest one of the N time intervals depends on a time domain resource of the first reporting information.

[0692] As one embodiment, the earliest one of the N time intervals is slot (n1 + fourth offset), the fourth offset being an integer, the first reporting information being transmitted in slot n1.

[0693] As one embodiment, the fourth offset is a positive integer.

[0694] As one embodiment, the fourth offset is equal to 0.

[0695] As one embodiment, the fourth offset is configurable.

[0696] As one embodiment, the fourth offset is configured by higher layer signaling.

[0697] As an embodiment, the fourth offset is configured by RRC signaling.

[0698] As an embodiment, the fourth offset is configured by the first configuration information block.

[0699] As an embodiment, the fourth offset is configured for the first operation.

[0700] As an embodiment, the earliest one of the N time interval depends on a first reference time slot.

[0701] As an embodiment, the earliest one of the N time interval is a first reference time slot.

[0702] As an embodiment, the first reference time slot is an embodiment of the embodiment 5.

[0703] As an embodiment, the jth time interval of the N time interval includes time slots (l+j-d), …, time slots (l+(j+1)-d-1), where the j=0, …, N-1, the earliest one of the N time interval is time slot l, the d is the number of time slots included in each time interval of the N time interval.

[0704] As an embodiment, the first set of transmission occasions is the latest transmission occasion of the M1 RS resources no later than a first reference time slot.

[0705] As an embodiment, for any one of the M1 RS resources, the transmission occasion of this RS resource in the first set of transmission occasions is the latest transmission occasion of this RS resource no later than a first reference time slot.

[0706] As an embodiment, the first set of transmission occasions is the latest transmission occasion of the M1 RS resources no later than the N sets of transmission occasions.

[0707] As an embodiment, for any one of the M1 RS resources, the transmission occasion of this RS resource in the first set of transmission occasions is the latest transmission occasion of this RS resource no later than the N sets of transmission occasions.

[0708] Embodiment 14

[0709] Embodiment 14 illustrates a diagram of N sets of transmission occasions according to an embodiment of the present application; as shown in FIG. 14. In embodiment 14, any one of the N sets of transmission occasions includes one transmission occasion of each of the M2 RS resources. In FIG. 14, the N sets of transmission occasions are denoted as transmission occasion set #0, …, transmission occasion set #(N-1), respectively.

[0710] As one embodiment, any one of the N groups of transmission occasions consists of one transmission occasion for each of the M2 RS resources.

[0711] As one embodiment, the N groups of transmission occasions are N groups of latest transmission occasions of the M2 RS resources no later than a first reference time slot.

[0712] As one embodiment, for any one of the M2 RS resources, the N groups of transmission occasions respectively include N consecutive transmission occasions of this RS resource, a latest one of the N consecutive transmission occasions being a latest one of transmission occasions of this RS resource no later than a first reference time slot.

[0713] As one embodiment, the first reference time slot refers to the embodiment 5.

[0714] As one embodiment, the N groups of transmission occasions respectively belong to the N time slot intervals.

[0715] Embodiment 15

[0716] Embodiment 15 illustrates a schematic diagram of N groups of transmission occasions according to one embodiment of the present application; as shown in FIG. 15. In embodiment 15, the N groups of transmission occasions and N groups of RS resources are in one-to-one correspondence, any one of the N groups of RS resources includes part of the M2 RS resources, and any one of the N groups of transmission occasions includes one transmission occasion for each RS resource in the corresponding group of RS resources; each of the N groups of RS resources includes M3 RS resources, and the product of the N and the M3 is equal to the M2.

[0717] In FIG. 15, the N groups of transmission occasions are respectively denoted as transmission occasion group #0, …, transmission occasion group #(N-1).

[0718] As one embodiment, any one of the N groups of transmission occasions consists of one transmission occasion for each of the RS resources in the corresponding group of RS resources.

[0719] As one embodiment, there is no RS resource in the M2 RS resources that belongs to two of the N groups of RS resources at the same time.

[0720] As one embodiment, any one of the M2 RS resources belongs to one of the N groups of RS resources.

[0721] As one embodiment, any of the N RS resource groups is a CSI-RS resource set or a CSI SSB resource set.

[0722] As one embodiment, the N RS resource groups are N CSI-RS resource sets or N CSI SSB resource sets respectively.

[0723] As one sub-embodiment of the above embodiment, the configuration information block of any of the N RS resource groups indicates in sequence M3 RS resources included in this RS resource group.

[0724] As one reference embodiment of the above sub-embodiment, the configuration information block is NZP-CSI-RS-ResourceSet IE.

[0725] As one reference embodiment of the above sub-embodiment, the configuration information block is CSI-SSB-ResourceSet IE.

[0726] As one embodiment, the first RS resource group and the second RS resource group are any two RS resource groups in 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 the i is any positive integer not greater than the M3.

[0727] As one embodiment, the first RS resource group and the second RS resource group are any two RS resource groups in 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 the i is any positive integer not greater than the M3.

[0728] As one embodiment, the first RS resource group and the second RS resource group are any two RS resource groups in the N RS resource groups, 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 the i is any positive integer not greater than the M3.

[0729] As one embodiment, the M2 RS resources include M3 RS resource sets, any RS resource set in the M3 RS resource sets includes RS resources in a quantity equal to the N; and any RS resource group in the N RS resource groups consists of one RS resource in each of the M3 RS resource sets.

[0730] As a sub-example of the above embodiment, the earliest one of the N groups of RS resources consists of the first one of the RS resources in each of the M3 sets of RS resources, the next earliest one of the N groups of RS resources consists of the second one of the RS resources in each of the M3 sets of RS resources, and so on.

[0731] As an example, any one of the M3 sets of RS resources is a set of CSI-RS resources or a set of CSI SSB resources.

[0732] As an example, any one of the M3 sets of RS resources includes N RS resources with the same antenna port having the same port index.

[0733] As an example, for any one of the M3 sets of RS resources, the first node assumes that the N RS resources in this set of RS resources have the same antenna port with the same port index.

[0734] Embodiment 16

[0735] Embodiment 16 illustrates a diagram of N second type of CSI respectively depending on measurements for N groups of transmission occasions according to an embodiment of the application; as shown in FIG. 16. In FIG. 16, the N second type of CSI are respectively denoted as second type of CSI #0, …, second type of CSI #(N-1); the N groups of transmission occasions are respectively denoted as transmission occasion group #0, …, transmission occasion group #(N-1).

[0736] As an example, the second type of CSI includes at least one of CRI, SSBRI and RSRP.

[0737] As an example, the second type of CSI includes CRI.

[0738] As an example, the second type of CSI includes SSBRI.

[0739] As an example, the second type of CSI includes RSRP.

[0740] As an example, the second type of CSI includes CRI and RSRP.

[0741] As an example, the second type of CSI includes SSBRI and RSRP.

[0742] As an example, the second type of CSI includes at least one of real CRI, real SSBRI and real RSRP.

[0743] As one embodiment, the real is referred to as measured.

[0744] As one embodiment, the real is referred to as non-predicted.

[0745] As one embodiment, the second type of CSI includes at least one of strongest CRI or strongest SSBRI.

[0746] As one embodiment, the second type of CSI includes at least one of strongest CRI, strongest SSBRI and strongest RSRP.

[0747] As one embodiment, the first type of CSI includes at least one of predicted CRI, predicted SSBRI and predicted RSRP, and the second type of CSI includes at least one of strongest CRI, strongest SSBRI and strongest RSRP.

[0748] As one embodiment, the first type of CSI includes predicted CRI or predicted SSBRI, and the second type of CSI includes strongest CRI or strongest SSBRI.

[0749] As one embodiment, the first type of CSI includes predicted CRI and predicted RSRP, and the second type of CSI includes strongest CRI and strongest RSRP.

[0750] As one embodiment, the first type of CSI includes predicted SSBRI and predicted RSRP, and the second type of CSI includes strongest SSBRI and strongest RSRP.

[0751] As one embodiment, the first type of CSI includes predicted beam, and the second type of CSI includes strongest beam.

[0752] As one embodiment, the first type of CSI includes predicted beam and predicted RSRP, and the second type of CSI includes strongest beam and strongest RSRP.

[0753] As one embodiment, the N second type of CSI respectively includes CRI or SSBRI obtained based on the N groups of transmission occasions.

[0754] As one embodiment, the N second type of CSI respectively includes CRI and RSRP obtained based on the N groups of transmission occasions.

[0755] As one embodiment, the N second type of CSI respectively includes SSBRI and RSRP obtained based on the N groups of transmission occasions.

[0756] As an embodiment, any of the N pieces of second type CSI comprises K2 RS resource identifications, the K2 being a positive integer.

[0757] As an embodiment, any of the N pieces of second type CSI comprises K2 RS resource identifications, and comprises K2 RSRPs, the K2 being a positive integer.

[0758] As a sub-embodiment of the above embodiment, the K2 RSRPs are respectively RSRPs of RS resources identified by the K2 RS resource identifications.

[0759] As an embodiment, any of the K2 RS resource identifications identifies a RS resource that is one of the M2 RS resources.

[0760] As an embodiment, the K2 is configurable.

[0761] As an embodiment, the K2 is configured by higher layer signaling.

[0762] As an embodiment, the K2 is configured by RRC signaling.

[0763] As an embodiment, the K2 is configured by the first configuration information block.

[0764] As an embodiment, the K2 equals to 1.

[0765] As an embodiment, the K2 is greater than 1.

[0766] As an embodiment, the K2 is less than the M2.

[0767] As an embodiment, the K2 is less than the M3.

[0768] As an embodiment, any of the N groups of transmission occasions comprises one transmission occasion for each of the M2 RS resources, the K2 RS resource identifications being respectively CRIs or SSBRIs of K2 RS resources with highest RSRPs among the M2 RS resources.

[0769] As an embodiment, any of the N groups of transmission occasions comprises one transmission occasion for each of the RS resources in one of the N RS resource groups, the K2 RS resource identifications being respectively CRIs or SSBRIs of K2 RS resources with highest RSRPs in the corresponding RS resource group.

[0770] As an embodiment, any of the N pieces of second type CSI comprises K3 RSRPs, the K3 being a positive integer.

[0771] As an embodiment, any of the N second type of CSI includes K3 RSRP, and includes one RS resource identification, the K3 is a positive integer.

[0772] As an embodiment, the K3 is equal to the M2, the K3 RSRP is respectively RSRP of the M2 RS resource.

[0773] As an embodiment, the K3 is equal to the M3, the K3 RSRP is respectively RSRP of the M3 RS resource included in the corresponding RS resource group.

[0774] As an embodiment, the one RS resource identification is CRI or SSBRI of the RS resource corresponding to the maximum RSRP in the K3 RSRP.

[0775] As an embodiment, the K3 is configurable.

[0776] As an embodiment, the K3 is configured by higher layer signaling.

[0777] As an embodiment, the K3 is configured by RRC signaling.

[0778] As an embodiment, the K3 is configured by the first configuration information block.

[0779] As an embodiment, the K3 is equal to the M2.

[0780] As an embodiment, the K3 is equal to the M3.

[0781] Embodiment 17

[0782] Embodiment 17 illustrates a schematic diagram of N first type of CSI and N second type of CSI according to an embodiment of the present application; as shown in FIG. 17. In embodiment 17, the N first type of CSI and the N second type of CSI are one-to-one correspondence, a given first type of CSI is any of the N first type of CSI, a given second type of CSI is the second type of CSI corresponding to the given first type of CSI in the N second type of CSI, the given first type of CSI includes K1 RS resource identification, the given second type of CSI includes K2 RS resource identification, the K1 and the K2 are respectively positive integers. In FIG. 17, the N first type of CSI is respectively denoted as first type of CSI #0, …, first type of CSI #(N-1); the N second type of CSI is respectively denoted as second type of CSI #0, …, second type of CSI #(N-1).

[0783] As an embodiment, the K1 is equal to the K2.

[0784] As one embodiment, the K1 is greater than the K2.

[0785] As one embodiment, the K1 is less than the K2.

[0786] As one embodiment, the K2 is greater than 1, and the K1 is equal to 1.

[0787] As one embodiment, the K2 is equal to 1, and the K1 is greater than 1.

[0788] As one embodiment, the K2 is equal to 1, and the K1 is equal to 1.

[0789] As one embodiment, the RS resource identification comprises a CRI or a SSBRI.

[0790] As one embodiment, any of the N second-type CSI corresponds to a set of transmission occasions in time domain belonging to a time slot interval targeted by the corresponding first-type CSI.

[0791] As one embodiment, the given first-type CSI corresponds to a given time slot interval, the K1 RS resource identifications are predicted RS resource identifications for the given time slot interval, and the K2 RS resource identifications are strongest RS resource identifications for the given time slot interval.

[0792] As one sub-embodiment of the above embodiment, the K1 RS resource identifications indicate K1 predicted beams for the given time slot interval.

[0793] As one sub-embodiment of the above embodiment, the K2 RS resource identifications are RS resource identifications obtained based on measurements of RSs transmitted within the given time slot interval.

[0794] As one sub-embodiment of the above embodiment, the K2 RS resource identifications indicate K2 strongest beams for the given time slot interval.

[0795] As one embodiment, the first reporting information comprises the K1 RS resource identifications and the K2 RS resource identifications.

[0796] As one embodiment, the first reporting information depends on the K1 RS resource identifications and the K2 RS resource identifications.

[0797] As one embodiment, the first reporting information comprises a first performance metric, and the first performance metric depends on the K1 RS resource identifications and the K2 RS resource identifications.

[0798] As one embodiment, the first performance metric depends on whether there are any RS resource identifications that are the same between the K1 RS resource identifications and the K2 RS resource identifications.

[0799] As one embodiment, the first performance metric depends on how many RS resource identifications are the same between the K1 RS resource identifications and the K2 RS resource identifications.

[0800] As one 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 identification is the same as the K2 RS resource identification.

[0801] As one sub-embodiment of the above embodiment, the first performance metric depends on a percentage of the K1 RS resource identifications that are the same as the K2 RS resource identifications.

[0802] As one embodiment, the K1 is greater than 1, the K2 is equal to 1, and the first performance metric depends on whether the K1 RS resource identifications include the K2 RS resource identification.

[0803] As one sub-embodiment of the above embodiment, the first performance metric depends on a percentage of the K1 RS resource identifications that include the K2 RS resource identification.

[0804] As one embodiment, the K1 is equal to 1, the K2 is greater than 1, and the first performance metric depends on whether the K2 RS resource identifications include the K1 RS resource identification.

[0805] As one sub-embodiment of the above embodiment, the first performance metric depends on a percentage of the K2 RS resource identifications that include the K1 RS resource identification.

[0806] As one embodiment, the first performance metric depends on whether there are any RS resources that have the same quasi-co-location relationship between RS resources indicated by the K1 RS resource identifications and RS resources indicated by the K2 RS resource identifications.

[0807] As one embodiment, the K1 is equal to 1, the K2 is equal to 1, and the first performance metric depends on whether RS resources indicated by the K1 RS resource identification are quasi-co-located with RS resources indicated by the K2 RS resource identification.

[0808] As one sub-embodiment of the above embodiment, the first performance metric depends on a percentage of RS resources indicated by the K1 RS resource identification that are quasi-co-located with RS resources indicated by the K2 RS resource identification.

[0809] As one embodiment, the K1 is greater than 1, the K2 is equal to 1, and the first performance metric depends on whether the K1 RS resource identities indicate RS resources that include RS resources that are quasi co-located with the K2 RS resource identities.

[0810] As one subembodiment of the above embodiment, the first performance metric depends on a percentage of the K1 RS resource identities that indicate RS resources that include RS resources that are quasi co-located with the K2 RS resource identities.

[0811] As one embodiment, the K1 is equal to 1, the K2 is greater than 1, and the first performance metric depends on whether the K2 RS resource identities indicate RS resources that include RS resources that are quasi co-located with the K1 RS resource identities.

[0812] As one subembodiment of the above embodiment, the first performance metric depends on a percentage of the K2 RS resource identities that indicate RS resources that include RS resources that are quasi co-located with the K1 RS resource identities.

[0813] As one embodiment, the above quasi co-location refers to quasi co-locations of a corresponding quasi co-location type including typeD.

[0814] As one embodiment, the given first type of CSI includes K1 RSRPs and the given second type of CSI includes K2 RSRPs.

[0815] As one embodiment, the first reporting information includes the K1 RSRPs and the K2 RSRPs.

[0816] As one embodiment, the first reporting information includes a first performance metric that depends on the K1 RSRPs and the K2 RSRPs.

[0817] As one subembodiment of the above embodiment, the K1 is equal to 1, the K2 is equal to 1, and the first performance metric includes an average or CDF of a difference between the K1 RSRPs and the K2 RSRPs.

[0818] As one subembodiment of the above embodiment, the K1 is equal to 1, the K2 is equal to 1, and the first performance metric includes a percentage of a gap between the K1 RSRPs and the K2 RSRPs that does not exceed x dB.

[0819] As one subembodiment of the above embodiment, the K1 is greater than 1, the K2 is equal to 1, and the first performance metric includes a percentage of a gap between a largest RSRP of the K1 RSRPs and the K2 RSRPs that does not exceed x dB.

[0820] Embodiment 18

[0821] Embodiment 18 illustrates a diagram of a first identification according to an embodiment of the present application; as shown in Figure 18. In Embodiment 18, the first configuration information block indicates a first identification, and the first operation is associated to the first identification.

[0822] As an embodiment, the first identification is a non-negative integer.

[0823] As an embodiment, the first identification is a string.

[0824] As an embodiment, the first operation is identified by the first identification.

[0825] As an embodiment, an AI entity to which the first operation belongs is identified by the first identification.

[0826] As an embodiment, an AI function to which the first operation belongs is identified by the first identification.

[0827] As an embodiment, an AI function or an AI entity that performs the first operation is identified by the first identification.

[0828] 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.

[0829] As an embodiment, the training of the first operation is identified by the first identification.

[0830] As an embodiment, a data set of the training of the first operation is identified by the first identification.

[0831] As an embodiment, the benefits of the above method include establishing consensus among different AI functions by identifying an AI training or an AI training data set to identify the inference generated by this AI training or AI training data set, and further simplifying the design.

[0832] As an embodiment, the first configuration information block indicates the first operation by indicating the first identification.

[0833] Embodiment 19

[0834] Embodiment 19 illustrates a diagram of whether there is a same quasi-co-location relationship between RS resources in M1 RS resources and RS resources in M2 RS resources, and the capability of the first node according to an embodiment of the present application; as shown in Figure 19.

[0835] As an embodiment, the capability of the first node comprises a UE capability.

[0836] As an embodiment, the capability of the first node comprises a UE processing capability.

[0837] As an embodiment, the capability of the first node comprises a UE capability indication.

[0838] As an embodiment, the capability of the first node comprises a UE processing time capability.

[0839] As an embodiment, whether there is a RS resource in the M1 RS resources and a RS resource in the M2 RS resources having the same quasi co-location relationship and the UE capability reporting of the first node are related.

[0840] As an embodiment, whether there is a RS resource in the M1 RS resources and a RS resource in the M2 RS resources having the same quasi co-location relationship depends on the capability of the first node.

[0841] As an embodiment, whether there is a RS resource in the M1 RS resources and a RS resource in the M2 RS resources having the same quasi co-location relationship depends on the UE capability reporting of the first node.

[0842] As an embodiment, the first node reports a first capability value and there is at least one RS resource in the M1 RS resources and a RS resource in the M2 RS resources having the same quasi co-location relationship; or, the first node does not report the first capability value and there is no RS resource in the M1 RS resources and a RS resource in the M2 RS resources having the same quasi co-location relationship.

[0843] As an embodiment, the first capability value comprises a field in a UE capability IE.

[0844] As an embodiment, the first node reports a second capability value and there is at least one RS resource in the M1 RS resources and a RS resource in the M2 RS resources having the same quasi co-location relationship; or, the first node reports a third capability value and there is no RS resource in the M1 RS resources and a RS resource in the M2 RS resources having the same quasi co-location relationship.

[0845] As an embodiment, the second capability value and the third capability value are two candidate values of one same field in one UE capability IE, respectively.

[0846] As an embodiment, the quasi co-location relationship refers to a Quasi Co-Location relationship.

[0847] As an embodiment, the two RS resources having the same quasi co-location relationship includes that one RS resource of the two RS resources and another RS resource of the two RS resources are quasi co-located.

[0848] As an embodiment, the two RS resources having the same quasi co-location relationship includes that one RS resource of the two RS resources and another RS resource of the two RS resources are quasi co-located and the corresponding quasi co-location type includes typeD.

[0849] As an embodiment, the two RS resources having the same quasi co-location relationship includes that the two RS resources and one same RS resource are quasi co-located.

[0850] As an embodiment, the two RS resources having the same quasi co-location relationship includes that the two RS resources and one same RS resource are quasi co-located and the corresponding quasi co-location type includes typeD.

[0851] As an embodiment, the two RS resources having the same quasi co-location relationship includes that one RS resource of the two RS resources and a first given RS resource are quasi co-located, another RS resource of the two RS resources and a second given RS resource are quasi co-located; the first given RS resource and the second given RS resource are quasi co-located, or, the first given RS resource and the second given RS resource and one same RS resource are quasi co-located.

[0852] As an embodiment, whether the M1 RS resources and the M2 RS resources include one same RS resource is related to a capability of the first node.

[0853] As an embodiment, whether the M1 RS resources and the M2 RS resources include one same RS resource is related to a UE capability report of the first node.

[0854] As an embodiment, whether the M1 RS resources and the M2 RS resources include one same RS resource depends on the capability of the first node.

[0855] As an embodiment, whether the M1 RS resources and the M2 RS resources comprise the same RS resource depends on a UE capability report of the first node.

[0856] As an embodiment, the first node reports a first capability value and at least one RS resource in the M1 RS resources is an RS resource in the M2 RS resources; or, the first node does not report the first capability value and the M1 RS resources and the M2 RS resources do not comprise the same RS resource.

[0857] As an embodiment, the first node reports a second capability value and at least one RS resource in the M1 RS resources is an RS resource in the M2 RS resources; or, the first node reports a third capability value and the M1 RS resources and the M2 RS resources do not comprise the same RS resource.

[0858] As an embodiment, the M1 RS resources are a subset of the M2 RS resources, or, the M1 RS resources and the M2 RS resources do not comprise the same RS resource.

[0859] As an embodiment, the first node reports a first capability value and the M1 RS resources are a subset of the M2 RS resources; or, the first node does not report the first capability value and the M1 RS resources and the M2 RS resources do not comprise the same RS resource.

[0860] 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 comprise the same RS resource.

[0861] As an embodiment, the M1 RS resources and the M2 RS resources do not comprise the same RS resource 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.

[0862] Embodiment 20

[0863] Embodiment 20 illustrates a schematic diagram of a first signaling triggering a first report information according to an embodiment of the present application; as shown in FIG. 20.

[0864] As an embodiment, the first signaling comprises DCI (Downlink Control Information).

[0865] As an embodiment, the first signaling is DCI.

[0866] As an embodiment, the first signaling is DCI for scheduling PUSCH.

[0867] As an embodiment, the first signaling is DCI format 0_1 or DCI format 0_2.

[0868] As an embodiment, the first signaling is DCI format 0_1, DCI format 0_2 or DCI format 0_3.

[0869] As an embodiment, the first signaling triggers the reporting of the first reporting information.

[0870] As an embodiment, the first signaling triggers the first node to report the first reporting information.

[0871] As an embodiment, the first signaling triggers one reporting of the first reporting.

[0872] As an embodiment, the first signaling triggers one reporting for the first configuration information block.

[0873] As an embodiment, the first signaling triggers the transmission of the M1 RS resources.

[0874] As an embodiment, the first signaling triggers one transmission of the M1 RS resources.

[0875] As an embodiment, the first signaling triggers one transmission of each of the M1 RS resources.

[0876] As an embodiment, the first signaling triggers one transmission occasion of the M1 RS resources.

[0877] As an embodiment, the first signaling triggers one transmission occasion of each of the M1 RS resources.

[0878] As an embodiment, the first signaling triggers the first set of transmission occasions.

[0879] As an embodiment, the first signaling triggers the transmission of the M2 RS resources.

[0880] As an embodiment, the first signaling triggers N transmissions of the M2 RS resources.

[0881] As an embodiment, the first signaling triggers N transmissions of each of the M2 RS resources.

[0882] As one embodiment, the first signaling triggers N transmission occasions for each of the M2 RS resources.

[0883] As one embodiment, the first signaling triggers one transmission for each of the M2 RS resources.

[0884] As one embodiment, the first signaling triggers one transmission occasion for each of the M2 RS resources.

[0885] As one embodiment, the first signaling triggers the N groups of transmission occasions.

[0886] As one embodiment, the M1 RS resources are periodic or quasi-static, the M2 RS resources are aperiodic, and the first signaling triggers the N groups of transmission occasions.

[0887] As one embodiment, the benefits of the above method include flexible indication of time domain resources for transmission occasions of the M2 RS resources, better matching of the relationship between the time interval for which the output of the first operation is targeted and.

[0888] As one embodiment, the benefits of the above method include reduced RS overhead related to performance monitoring.

[0889] As one embodiment, the benefits of the above method include allowing AI performance monitoring and AI inference to share RS resources, reducing overhead.

[0890] Embodiment 21

[0891] Embodiment 21 illustrates a diagram of a first node updating a first report according to one embodiment of the application; as shown in Figure 21.

[0892] As one embodiment, the first report includes a CSI (Channel State Information) report.

[0893] As one embodiment, the first report is a CSI (Channel State Information) report.

[0894] As one embodiment, the first report is identified by a CSI-ReportConfigId.

[0895] As one embodiment, the first report includes a report of a performance metric.

[0896] As one embodiment, the first report includes a report for performance monitoring.

[0897] As one embodiment, the first reporting is a CSI reporting for the first configuration information block.

[0898] As one embodiment, the first reporting is a CSI reporting for the first configuration information block.

[0899] As one embodiment, the first reporting is periodic.

[0900] As one embodiment, the first reporting is semi-persistent.

[0901] As one embodiment, the first reporting is aperiodic.

[0902] As one embodiment, the first reporting information is reported by the first node for the first reporting.

[0903] As one embodiment, the first reporting information is for the first reporting.

[0904] As one embodiment, the first reporting information comprises the first reporting.

[0905] As one embodiment, the first reporting information is one reporting of the first reporting.

[0906] As one embodiment, the first reporting information for the first configuration information block means that the first configuration information block is used to configure the first reporting, and the first reporting information is reported for the first reporting.

[0907] As one embodiment, the first reporting information for the first configuration information block means that the first configuration information block is used to configure the first reporting, and the first reporting information is one reporting of the first reporting.

[0908] As one embodiment, the first configuration information block indicates that the M1 RS resources and the M2 RS resources are used for channel measurement of the first reporting.

[0909] As one embodiment, the first configuration information block indicates that the M1 RS resources and the M2 RS resources are used to obtain channel measurement for calculating the first reporting.

[0910] As one embodiment, the first configuration information block indicates RS resources for channel measurement of the first reporting.

[0911] As one embodiment, the first configuration information block indicates a reporting quantity of the first reporting.

[0912] As one embodiment, the first configuration information block indicates PUCCH resources allocated to the first report.

[0913] As one embodiment, the first configuration information block indicates time-domain behavior of the first report.

[0914] As one embodiment, the time-domain behavior comprises periodic, quasi-static and aperiodic.

[0915] As one embodiment, the first report is periodic, and the first configuration information block indicates a periodicity of the first report.

[0916] As one embodiment, the first configuration information block indicates frequency-domain resources targeted by the first report.

[0917] As one embodiment, the first configuration information block indicates 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.

[0918] As one embodiment, the update of the first report comprises performing the first operation.

[0919] As one embodiment, the update of the first report comprises calculating the first report information.

[0920] As one embodiment, the update of the first report comprises calculation of the N first type of CSI and calculation of the N second type of CSI.

[0921] As one embodiment, the update of the first report relies on measurements on the M1 RSs and measurements on the M2 RS resources.

[0922] As one embodiment, the update of the first report relies on the first operation and measurements on the M2 RS resources.

[0923] As one embodiment, the measurement for the Ml RS resources and the measurement for the M2 RS resources are jointly used to update the first report.

[0924] As one embodiment, the first node obtains channel measurements for updating the first report based on the Ml RS resources and the M2 RS resources.

[0925] As one embodiment, the first node obtains channel measurements for updating the first report based only on the Ml RS resources and the M2 RS resources.

[0926] As one embodiment, the first report is used for performance monitoring of the first operation.

[0927] As one embodiment, the first node performs performance monitoring of the first operation through the first report.

[0928] As one embodiment, the first node assists a sender of the first configuration information block or a network in performance monitoring of the first operation through the first report.

[0929] As one embodiment, performance monitoring of the first operation relies on the first report.

[0930] As one embodiment, the first node relies on the first report to perform performance monitoring of the first operation.

[0931] As one embodiment, a sender of the first configuration information block relies on the first report to perform performance monitoring of the first operation.

[0932] Embodiment 22

[0933] Embodiment 22 illustrates a diagram of a first report according to one embodiment of the application; as shown in FIG. 22. In embodiment 22, the first report is periodic or quasi-static, and the N groups of transmission occasions are within a same period of the first report. In FIG. 22, the N groups of transmission occasions are denoted as transmission occasion group #0, …, transmission occasion group #(N-1), respectively.

[0934] As one embodiment, the first report is periodic or quasi-static, and the N groups of transmission occasions and a first set of transmission occasions are within a same period of the first report, the first set of transmission occasions including one transmission occasion for each of the Ml RS resources.

[0935] As an example, the first set of transmission occasions comprises a most recent transmission occasion of each of the M1 RS resources for the channel measurement of the first reporting information.

[0936] Embodiment 23

[0937] Embodiment 23 illustrates a diagram of a first reporting according to an embodiment of the application; as shown in FIG. 23. In embodiment 23, the first reporting is aperiodic, and the first signaling triggers the N sets of transmission occasions.

[0938] As an example, the first signaling triggers the transmission of the M2 RS resources in the N sets of transmission occasions.

[0939] As an example, for any of the M2 RS resources, the first signaling triggers the transmission of this RS resource in N transmission occasions, which respectively belong to the N sets of transmission occasions.

[0940] As an example, the first signaling triggers a first set of transmission occasions, which comprises one transmission occasion of each of the M1 RS resources.

[0941] As an example, for any of the M1 RS resources, the first signaling triggers the transmission of this RS resource in one transmission occasion, which belongs to the first set of transmission occasions.

[0942] As an example, for any of the M1 RS resources, the first node obtains the updated channel measurement for the first reporting based only on transmission occasions of this RS resource no later than the first set of transmission occasions, including the transmission occasion of this RS resource in the first set of transmission occasions.

[0943] As an example, the first set of transmission occasions is earlier than the N sets of transmission occasions.

[0944] As an example, the first set of transmission occasions consists of one transmission occasion of each of the M1 RS resources.

[0945] Embodiment 24

[0946] Embodiment 24 illustrates a diagram of a first reporting occupying P processing units according to an embodiment of the application; as shown in FIG. 24.

[0947] As an example, the first reporting occupies the P processing units of the first node.

[0948] As one embodiment, the processing units comprise CSI processing units.

[0949] As one embodiment, the processing units are CSI processing units.

[0950] As one embodiment, the processing units can be used for CSI processing.

[0951] As one embodiment, the processing units comprise other processing units than CSI processing units.

[0952] As one embodiment, the processing units comprise processing units for AI inference.

[0953] As one embodiment, the processing units can be used for AI inference.

[0954] As one embodiment, the processing units comprise CSI processing units and processing units for AI inference.

[0955] As one embodiment, the processing units can be used for CSI processing and AI inference.

[0956] As one embodiment, the P is a positive integer.

[0957] As one embodiment, the P is a positive integer greater than 1.

[0958] As one embodiment, the first reporting occupies P processing units means that the update of the first reporting occupies the P processing units.

[0959] As one embodiment, the P depends on the M1.

[0960] As one embodiment, the P depends on the M2.

[0961] As one embodiment, the P depends on the N.

[0962] As one embodiment, the P is equal to the N.

[0963] As one embodiment, the P depends on the M1 and the N.

[0964] As one embodiment, the P depends on the M2 and the N.

[0965] As one embodiment, the P depends on the M1, the M2 and the N.

[0966] Embodiment 25

[0967] Embodiment 25 illustrates a schematic diagram of P according to an embodiment of the present application; as shown in FIG. 25. In embodiment 25, the P is linearly related to a first value, a linear coefficient between the P and the first value is 1; the first value depends on at least one of the N and the M1. In FIG. 25, symbol ∝ represents linearly related.

[0968] As one embodiment, the above method addresses the issue of how to determine the number of processing units occupied by the reporting related to the first operation, including AI inference or based on training.

[0969] As one embodiment, the first value is related to the first operation.

[0970] As one embodiment, the first value depends on the first operation.

[0971] As one embodiment, the P is linearly related to a first value, a linear coefficient between the P and the first value is 1, the first value depends on the M1.

[0972] As one embodiment, the above method has the benefit of meeting the demand of different RS resource quantity for processing unit occupation.

[0973] As one embodiment, when the M1 is equal to x1, the first value is equal to y1; when the M1 is equal to x2, the first value is equal to y2; the x1 is less than the x2, the y1 is not greater than the y1.

[0974] As one embodiment, the first value is linearly related to the M1.

[0975] As one embodiment, the first value depends on the product of the M1 and a first coefficient.

[0976] As one embodiment, the P is linearly related to a first value, a linear coefficient between the P and the first value is 1, the first value depends on the N.

[0977] As one embodiment, the above method has the benefit of meeting the demand of different prediction time interval quantity for processing unit occupation.

[0978] As one embodiment, when the N is equal to x1, the first value is equal to y1; when the N is equal to x2, the first value is equal to y2; the x1 is less than the x2, the y1 is not greater than the y1.

[0979] As one embodiment, the first value is equal to the N.

[0980] As one embodiment, the first value depends on a product of the N and a first coefficient.

[0981] As one embodiment, the first value depends on the N and the M1.

[0982] As one embodiment, benefits of the above method include that the requirements of different RS resource quantities and different prediction time interval quantities on processing units are satisfied simultaneously.

[0983] As one embodiment, whether the first value depends on the N depends on the M1.

[0984] As one embodiment, the first coefficient is a positive real number.

[0985] As one embodiment, the first coefficient is less than 1.

[0986] As one embodiment, the first coefficient is equal to 1.

[0987] As one embodiment, the first coefficient is greater than 1.

[0988] As one embodiment, the first coefficient depends on a capability of the first node.

[0989] As one embodiment, the capability of the first node includes a UE capability.

[0990] As one embodiment, the capability of the first node includes a UE processing capability.

[0991] As one embodiment, the capability of the first node includes a UE capability indication.

[0992] As one embodiment, the capability of the first node includes a UE processing time capability.

[0993] As one embodiment, the first coefficient is reported by the first node.

[0994] As one embodiment, the first coefficient is reported by the first node through a UE capability.

[0995] As one embodiment, the first coefficient is reported by the first node through a UE capability indication.

[0996] As one embodiment, the first coefficient is fixed.

[0997] As one embodiment, the first coefficient is fixed as 1.

[0998] As one embodiment, the first coefficient is related to the first operation.

[0999] As one embodiment, the first coefficient is dependent on the first operation.

[1000] As one embodiment, the benefit of the above method includes that the occupation of processing units is more matched to AI inference or training based operation, further improving the utilization of processing units.

[1001] As one embodiment, the first coefficient is indicated to the first operation.

[1002] As one embodiment, the first coefficient is specific to the first operation.

[1003] As one embodiment, the first coefficient is used for determining the number of processing units related to the first operation.

[1004] As one embodiment, the first coefficient is not dependent on the first operation.

[1005] As one embodiment, the benefit of the above method includes that the design is simplified and the signaling overhead is reduced.

[1006] As one embodiment, the benefit of the above method includes good backward compatibility.

[1007] Embodiment 26

[1008] Embodiment 26 illustrates a schematic diagram of P according to one embodiment of the present application; as shown in FIG. 26. In embodiment 26, the P is linearly related to the first value, and the linear coefficient between the P and the first value is equal to 1.

[1009] In (a) of FIG. 26, the first value is equal to the integer of the product of the M1 and the first coefficient.

[1010] In (b) of FIG. 26, the first value is equal to the integer of the product of the N and the first coefficient.

[1011] As one embodiment, the embodiment of the first coefficient refers to embodiment 25.

[1012] As one embodiment, if the result of any product above is an integer, the corresponding integer is ignored.

[1013] As one embodiment, the integer is an upward integer.

[1014] Embodiment 27

[1015] Embodiment 27 illustrates a schematic diagram of P according to an embodiment of the present application; as shown in FIG. 27. In embodiment 27, the P is linearly related to the first number and the second number respectively, and the linear coefficients between the P and the first number and the second number are equal to 1 respectively.

[1016] As an embodiment, the problem to be solved by the above method includes, in a scenario where the input of the first operation including AI inference or training-based depends on the measurement of the M1 RS resources, and the output of the first operation depends on the measurement of the M2 RS resources, how to determine the number of processing units occupied by this reporting; in the above method, the P depends on the first number and the second number, which solves this problem.

[1017] As an embodiment, the benefits of the above method include, respectively meeting the processing unit occupation requirements of the first operation including AI inference or training-based and other processing unit occupation requirements, improving the utilization rate of the processing unit.

[1018] As an embodiment, the embodiment of the first number refers to embodiment 25 and embodiment 26.

[1019] As an embodiment, the first number depends on the first operation, and the second number does not depend on the first operation.

[1020] As an embodiment, the benefits of the above method include, respectively optimizing the processing unit occupation of the first operation including AI inference or training-based and other processing unit occupation, optimizing the system performance.

[1021] As an embodiment, the first number depends on the M1, and the second number depends on the M2.

[1022] As an embodiment, the benefits of the above method include, simultaneously meeting the processing unit occupation requirements of the first operation and other CSI processing in the case of different resource quantities.

[1023] As an embodiment, the first number and the second number both depend on the N.

[1024] As an embodiment, the benefits of the above method include, respectively meeting the processing unit occupation requirements of the first operation and other CSI processing in the case of different inter-slot interval quantities.

[1025] As an embodiment, the benefits of the above method include, better flexibility, and fully optimizing the occupation of the processing unit.

[1026] As one embodiment, the first number depends on the N and the second number is fixed, or, the first number is fixed and the second number depends on the N.

[1027] As one embodiment, the above method has the benefit of achieving a better balance between processing unit utilization and implementation complexity.

[1028] As one embodiment, the above method has the benefit of reducing air interface overhead.

[1029] As one embodiment, the first number depends on the M1 and the second number depends on the N.

[1030] As one embodiment, the first number depends on the N and the second number depends on the M2.

[1031] As one embodiment, the above method has the benefit of meeting different requirements of processing unit occupation by the first operation and other CSI respectively.

[1032] As one embodiment, the first number depends on the M1 or the N includes that the first number is equal to the M1 or the N.

[1033] As one embodiment, the second number depends on the M2 or the N includes that the second number is equal to the M1 or the N.

[1034] As one embodiment, the second number is fixed.

[1035] As one embodiment, the second number is fixed as 1.

[1036] As one embodiment, the second number depends on the M2.

[1037] As one embodiment, when the M2 is equal to x3, the second number is equal to y3; when the M2 is equal to x4, the second number is equal to y4; the x3 is less than the x4, and the y3 is not greater than the y4.

[1038] As one embodiment, the second number depends on the product of the M2 and a second coefficient.

[1039] As one embodiment, the second number depends on the N.

[1040] As one embodiment, when the N is equal to x3, the second integer is equal to y3; when the N is equal to x4, the second integer is equal to y4; the x3 is less than the x4, and the y3 is not greater than the y4.

[1041] As an embodiment, the second value depends on the N, depends on the M2.

[1042] As an embodiment, the second value depends on the product of the N and a second coefficient.

[1043] As an embodiment, the second coefficient depends on the capability of the first node.

[1044] As an embodiment, the second coefficient is reported by the first node.

[1045] As an embodiment, the second coefficient is reported by the first node through UE capability.

[1046] As an embodiment, the second coefficient is reported by the first node through UE capability indication.

[1047] As an embodiment, the second coefficient is a positive real number.

[1048] As an embodiment, the second coefficient is fixed.

[1049] As an embodiment, the second coefficient is fixed as 1.

[1050] As an embodiment, both the first coefficient and the second coefficient depend on the capability of the first node.

[1051] As an embodiment, the first coefficient and the second coefficient are indicated respectively.

[1052] As an embodiment, both the first coefficient and the second coefficient are reported by the first node.

[1053] As an embodiment, the first node reports the first coefficient and the second coefficient respectively.

[1054] 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.

[1055] 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.

[1056] 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.

[1057] As one embodiment, one of the first coefficient and the second coefficient is reported by the first node, and the other is fixed.

[1058] As one embodiment, the first coefficient is reported by the first node, and the second coefficient is fixed.

[1059] As one embodiment, only the first coefficient of the first coefficient and the second coefficient depends on the first operation.

[1060] As one embodiment, the first coefficient is specific to the first operation, and the second coefficient is not specific to the first operation.

[1061] As one embodiment, only the first coefficient of the first coefficient and the second coefficient is specific to the first operation.

[1062] As one embodiment, the first coefficient depends on the first operation, and the second coefficient does not depend on the first operation.

[1063] As one embodiment, the first value depends on the product of the M1 and the first coefficient, and the second value depends on the product of the M2 and the second coefficient, and the first coefficient and the second coefficient are respectively indicated.

[1064] As one sub-embodiment of the above-mentioned embodiment, the first coefficient is specific to the first operation, and the second coefficient is not specific to the first operation.

[1065] As one sub-embodiment of the above-mentioned embodiment, the first coefficient depends on the first operation, and the second coefficient does not depend on the first operation.

[1066] As one embodiment, the first value depends on the product of the N and the first coefficient, and the second value depends on the product of the N and the second coefficient, and the first coefficient and the second coefficient are respectively indicated.

[1067] As one sub-embodiment of the above-mentioned embodiment, the first coefficient is specific to the first operation, and the second coefficient is not specific to the first operation.

[1068] As one sub-embodiment of the above-mentioned embodiment, the first coefficient depends on the first operation, and the second coefficient does not depend on the first operation.

[1069] Embodiment 28

[1070] Embodiment 28 illustrates a schematic diagram of the P according to one embodiment of the present application; as shown in FIG. 28.

[1071] In (a) of Figure 28, the P is equal to a first value, which is equal to an integer of a product of the N and a first coefficient.

[1072] In (b) of Figure 28, the P is equal to a first value, which is equal to an integer of a product of the Ml and a first coefficient.

[1073] In (c) of Figure 28, the P is equal to a sum of a first value and a second value, the first value is equal to an integer of a product of the N and a first coefficient, and the second value is fixed as 1.

[1074] In (d) of Figure 28, the P is equal to a sum of a first value and a second value, the first value is equal to an integer of a product of the Ml and a first coefficient, and the second value is fixed as 1.

[1075] In (e) of Figure 28, the P is equal to a sum of a first value and a second value, the first value is equal to an integer of a product of the N and a first coefficient, and the second value is equal to an integer of a product of the N and a second coefficient.

[1076] In (f) of Figure 28, the P is equal to a sum of a first value and a second value, the first value is equal to an integer of a product of the Ml and a first coefficient, and the second value is equal to an integer of a product of the M2 and a second coefficient.

[1077] In (g) of Figure 28, the P is equal to a sum of a first value and a second value, the first value is equal to an integer of a product of the N and a first coefficient, and the second value is equal to an integer of a product of the M2 and a second coefficient.

[1078] In (h) of Figure 28, the P is equal to an integer of a sum of a first value and a second value, the first value is equal to a product of the N and a first coefficient, and the second value is equal to a product of the M2 and a second coefficient.

[1079] In (i) of Figure 28, the P is equal to a sum of a first value and a second value, the first value is equal to an integer of a product of the Ml and a first coefficient, and the second value is equal to an integer of a product of the N and a second coefficient.

[1080] In (j) of Figure 28, the P is equal to an integer of a sum of a first value and a second value, the first value is equal to a product of the Ml and a first coefficient, and the second value is equal to a product of the N and a second coefficient.

[1081] As an embodiment, if a result of any multiplication or summation described above is an integer, a corresponding integer operation is ignored.

[1082] As an embodiment, the integer operation is an upward integer operation.

[1083] As an example, rounding(x) in FIG. 28 represents the smallest integer that is not less than the x.

[1084] Embodiment 29

[1085] Embodiment 29 illustrates a diagram of the P-dependent first component according to an embodiment of the present application; as shown in FIG. 29. In embodiment 29, the first component is related to the first operation.

[1086] As an example, the first component is a positive integer.

[1087] As an example, the first component is related to the capability of the first node.

[1088] As an example, the first component is dependent on the capability of the first node.

[1089] As an example, the first component is reported by the first node.

[1090] As an example, the first component is reported by the first node through UE capability.

[1091] As an example, the first component is reported by the first node through UE capability indication.

[1092] As an example, the first component is dependent on the first operation.

[1093] As an example, along with the reporting of the first component, the first node reports a first identity, and the first operation is associated to the first identity.

[1094] As an example, the first component indicates the number of processing units required by the first operation.

[1095] As an example, the first component indicates the number of processing units required by the first node to perform the first operation.

[1096] As an example, the first component is the number of processing units required by the first operation.

[1097] As an example, the first component is the number of processing units required by the first node to perform the first operation.

[1098] As an example, the first node indicates the first coefficient and the first component.

[1099] As an example, the first coefficient and the first component are indicated respectively.

[1100] As an embodiment, the first coefficient and the first component are respectively indicated by different UE capability IE.

[1101] As an embodiment, the first coefficient and the first component are respectively indicated by different domains of the same UE capability IE.

[1102] As an embodiment, the first node indicates the first coefficient, the second coefficient and the first component.

[1103] As an embodiment, the first coefficient, the second coefficient and the first component are respectively indicated.

[1104] As an embodiment, the P and the first component are linearly related, and the linear coefficient between the P and the first component is equal to 1.

[1105] As an embodiment, the P is equal to the first component.

[1106] As an embodiment, the P is equal to the sum of a first value and a second value, the first value is equal to the first component, and the second value is fixed to 1.

[1107] Embodiment 30

[1108] Embodiment 30 illustrates a schematic diagram of P according to an embodiment of the present application; as shown in FIG. 30. In (a) of FIG. 30, the P is equal to the sum of a first value and the first component; in (b) of FIG. 30, the P is equal to the first value plus the second value plus the first component; in (c) of FIG. 30, the P is equal to the sum of the first value and the second value rounded off plus the first component.

[1109] As an embodiment, in (c) of FIG. 30, if the result of the sum is an integer, the corresponding rounding off is ignored.

[1110] As an embodiment, the rounding off is upward rounding off.

[1111] As an embodiment, rounding off (x) means the smallest integer not less than the x.

[1112] As an embodiment, the embodiments of the first value and the second value refer to Embodiments 25 to 28.

[1113] Embodiment 31

[1114] Embodiment 31 illustrates a schematic diagram of a first report occupying P processing units starting from a first symbol until a second symbol according to one embodiment of the application; as shown in Figure 31.

[1115] As one embodiment, the first report does not occupy the processing units before the first symbol.

[1116] As one embodiment, the first report does not occupy the processing units after the second symbol.

[1117] As one embodiment, the first symbol depends on an earliest one of the M1 RS resources.

[1118] As one embodiment, the first symbol is a first symbol of an earliest one of the M1 RS resources.

[1119] As one embodiment, the first symbol is a first symbol of an earliest one of the M1 RS resources of a latest transmission occasion for obtaining a channel measurement for computing the first report information.

[1120] As one embodiment, the first symbol depends on a time domain resource allocated to the first report information.

[1121] As one embodiment, the first symbol depends on a first reference time slot.

[1122] As one embodiment, the first symbol is a first symbol of a latest transmission occasion of an earliest one of the M1 RS resources no later than a first reference time slot.

[1123] As an embodiment reference of the first reference time slot, reference is made to Embodiment 5.

[1124] As one embodiment, the first symbol is a first symbol of an earliest one of a first set of transmission occasions, the first set of transmission occasions comprising one transmission occasion of each of the M1 RS resources, the first set of transmission occasions being a latest set of transmission occasions of the M1 RS resources for obtaining a channel measurement for computing the first report information.

[1125] As one embodiment, an embodiment reference of the first set of transmission occasions is made to Embodiment 13.

[1126] As one embodiment, the second symbol depends on a last symbol allocated to the first report information.

[1127] As one embodiment, the second symbol is a last symbol allocated to the first report information.

[1128] As one embodiment, the second symbol is the Zth symbol after the last symbol assigned to the first reporting information, where Z is a positive integer.

[1129] As one embodiment, the second symbol depends on the first symbol assigned to the first reporting information.

[1130] As one embodiment, the second symbol is the Zth symbol after the first symbol assigned to the first reporting information, where Z is a positive integer.

[1131] As one embodiment, Z is configurable.

[1132] As one embodiment, Z is configured by higher layer signaling.

[1133] As one embodiment, Z is configured by RRC signaling.

[1134] As one embodiment, Z is configured by the first configuration information block.

[1135] As one embodiment, Z is fixed.

[1136] As one embodiment, Z is greater than 1.

[1137] As one embodiment, Z is equal to 1.

[1138] Embodiment 32

[1139] Embodiment 32 illustrates a diagram of a first reporting occupying P1 processing elements according to one embodiment of the application; as shown in Figure 32. In embodiment 32, P1 is related to the first operation.

[1140] As one embodiment, the first reporting occupies the P1 processing elements of the first node.

[1141] As one embodiment, P1 is a positive integer.

[1142] As one embodiment, P1 is greater than 1.

[1143] As one embodiment, P1 is equal to 1.

[1144] As one embodiment, P1 is related to the capability of the first node.

[1145] As one embodiment, P1 depends on the capability of the first node.

[1146] As one embodiment, P1 is reported by the first node.

[1147] As an embodiment, the P1 is reported by the first node through UE capability.

[1148] As an embodiment, the P1 is reported by the first node through UE capability indication.

[1149] As an embodiment, the P1 is dependent on the first operation.

[1150] As an embodiment, the P1 is indicated to the first operation.

[1151] As an embodiment, the P1 is dedicated to the first operation.

[1152] As an embodiment, the first node reports a first identity along with the reporting of the P1, the first operation is associated to the first identity.

[1153] As an embodiment, the P1 indicates a number of the processing elements required by the first operation.

[1154] As an embodiment, the P1 is a number of the processing elements required by the first operation.

[1155] As an embodiment, the P1 indicates a number of the processing elements required by the first node to perform the first operation.

[1156] As an embodiment, the P1 is a number of the processing elements required by the first node to perform the first operation.

[1157] As an embodiment, the processing element is different from the processing unit.

[1158] As an embodiment, the processing element is different from CSI processing units.

[1159] As an embodiment, the processing element is used for AI inference.

[1160] As an embodiment, the processing element is used for AI inference only.

[1161] As an embodiment, the processing element is not used for CSI processing.

[1162] As an embodiment, the processing unit comprises CSI processing units, and the processing element is different from the CSI processing units.

[1163] As an embodiment, the processing unit is used for CSI processing, and the processing element is not used for CSI processing.

[1164] As one embodiment, the processing units are for CSI processing, and the processing elements are for AI inference.

[1165] As one embodiment, the processing units are not for AI inference, and the processing elements are for AI inference.

[1166] As one embodiment, the first node reports the number of processing units and the number of processing elements it has, respectively.

[1167] As one embodiment, the number of processing units includes the number of simultaneous CSI computations supported.

[1168] As one embodiment, the number of processing elements includes the number of simultaneous AI inference computations supported.

[1169] As one embodiment, the occupation time of the P1 processing elements is different from the occupation time of the P processing units.

[1170] As one embodiment, the above method has the benefit of avoiding waste of the processing units and the processing elements.

[1171] As one embodiment, the occupation time of the P1 processing elements is shorter than the occupation time of the P processing units.

[1172] As one embodiment, the first node occupies the P1 processing elements from the first symbol until the third symbol.

[1173] As one embodiment, the third symbol is earlier than the second symbol.

[1174] As one embodiment, the third symbol depends on the M1 RS resources.

[1175] As one embodiment, the third symbol depends on the latest one of the M1 RS resources.

[1176] As one embodiment, the third symbol is the last symbol of the latest one of the M1 RS resources.

[1177] As one embodiment, the third symbol is the Z1th symbol after the last symbol of the latest one of the M1 RS resources, and the Z1 is a positive integer.

[1178] As one embodiment, the third symbol depends on the first set of transmission occasions.

[1179] As an embodiment, the third symbol depends on a latest one of the first set of transmission occasions.

[1180] As an embodiment, the third symbol is a last symbol of a latest one of the first set of transmission occasions.

[1181] As an embodiment, the third symbol is a Z1th symbol after a last symbol of a latest one of the first set of transmission occasions, the Z1 being a positive integer.

[1182] As an embodiment, the Z1 is configurable.

[1183] As an embodiment, the Z1 is configured by higher layer signaling.

[1184] As an embodiment, the Z1 is configured by RRC signaling.

[1185] As an embodiment, the Z1 is configured by the first configuration information block.

[1186] As an embodiment, the Z1 is fixed.

[1187] As an embodiment, the Z1 is greater than 1.

[1188] As an embodiment, the Z1 is equal to 1.

[1189] As an embodiment, the first node occupies the P1 processing elements starting from a fourth symbol until a third symbol.

[1190] As an embodiment, the third symbol is earlier than the second symbol, and the fourth symbol is later than the first symbol.

[1191] As an embodiment, the fourth symbol depends on the M1 RS resources.

[1192] As an embodiment, the fourth symbol depends on a latest one of the M1 RS resources.

[1193] As an embodiment, the fourth symbol is a last symbol of a latest one of the M1 RS resources.

[1194] As an embodiment, the fourth symbol is a Z2th symbol after a last symbol of a latest one of the M1 RS resources, the Z2 being a positive integer.

[1195] As an embodiment, the Z2 is configurable.

[1196] As an embodiment, the Z2 is configured by higher layer signaling.

[1197] As an embodiment, the Z2 is configured by the first configuration information block.

[1198] As an embodiment, the Z2 is fixed.

[1199] As an embodiment, the Z2 is greater than 1 or equal to 1.

[1200] As an embodiment, the third symbol depends on the N groups of transmission occasions.

[1201] As an embodiment, the third symbol depends on the latest one of the N groups of transmission occasions.

[1202] As an embodiment, the third symbol is the last symbol of the latest one of the N groups of transmission occasions.

[1203] As an embodiment, the third symbol is the Z3th symbol after the last symbol of the latest one of the N groups of transmission occasions, the Z3 being a positive integer.

[1204] As an embodiment, the Z3 is configurable.

[1205] As an embodiment, the Z3 is configured by higher layer signaling.

[1206] As an embodiment, the Z3 is configured by the first configuration information block.

[1207] As an embodiment, the Z3 is fixed.

[1208] As an embodiment, the Z3 is greater than 1 or equal to 1.

[1209] Embodiment 33

[1210] Embodiment 33 illustrates a schematic diagram of an artificial intelligence or machine learning based processing system according to an embodiment of the present application; as shown in FIG. 33. In embodiment 33, the second processing machine sends a first data set to the third processing machine, and a second data set to the fourth processing machine; the third processing machine generates a target first group of parameters according to the first data set, and sends the generated target first group of parameters to the fourth processing machine; the fourth processing machine processes the second data set using the target first group of parameters to obtain a first output, and sends the first output to the fifth processing machine. In FIG. 33, the first feedback and the second feedback are optional; the third processing machine comprises an ML training function; and the fourth processing machine comprises an ML inference function.

[1211] As an embodiment, the fifth processor comprises an ML test function.

[1212] As an embodiment, the fifth processor comprises performance monitoring / evaluation of the ML model.

[1213] As an embodiment, the fourth processor sends first type feedback to the third processor, which is used to trigger recalculation or update of the target first type parameter group, i.e. trigger ML initial training or ML retraining.

[1214] As an embodiment, the fifth processor sends second type feedback to the second processor, which is used to generate the first data set or the second data set, or which is used to trigger sending of the first data set or sending of the second data set.

[1215] As an embodiment, the second processor generates the first data set and the second data set according to measurement of reference signals.

[1216] As an embodiment, the fourth processor belongs to the first node.

[1217] As an embodiment, the fifth processor belongs to the first node or the second node.

[1218] As an embodiment, the fourth processor performs the first operation.

[1219] As an embodiment, the first type output comprises the first reporting information.

[1220] As an embodiment, the second data set comprises measurement of reference signals.

[1221] As an embodiment, the first data set comprises training data.

[1222] As an embodiment, the third processor is used to train an ML model, and the trained model is described by the target first type parameter group.

[1223] As an embodiment, the third processor is located in the first node.

[1224] The above embodiment avoids passing the first data set to the second node.

[1225] As an embodiment, the third processor is located in the second node.

[1226] The above embodiment supports joint training and optimizes system performance.

[1227] As an embodiment, the third processor is located in a core network.

[1228] The above embodiments support joint training across the network, further optimizing system performance.

[1229] As an embodiment, the second data set comprises inference data.

[1230] As an embodiment, the fourth processor is located in the first node.

[1231] As an embodiment, the fourth processor constructs a model according to the target first-type parameter group, and then inputs the second data set into the constructed model to obtain the first-type output.

[1232] As an embodiment, the fourth processor compares the real measurement result with the first-type output, and the error obtained is used to generate the first-type feedback.

[1233] As an embodiment, the fourth processor generates the first-type feedback through performance monitoring.

[1234] As an embodiment, the first-type feedback is used to reflect the performance of the trained model; when the performance of the trained model cannot meet the requirements, the third processor recalculates the target first-type parameter group.

[1235] As an embodiment, the fifth processor compares the real measurement result with the first-type output, and the error obtained is used to generate the second-type feedback.

[1236] As an embodiment, the fifth processor generates the second-type feedback through performance monitoring.

[1237] As an embodiment, the second-type feedback is used to reflect the performance of the trained model; when the performance of the trained model cannot meet the requirements, the second processor sends the first data set to trigger or assist the third processor to recalculate the target first-type parameter group.

[1238] As an embodiment, when the error is too large or the model has not been updated for too long a time, the performance of the trained model is considered to be unable to meet the requirements.

[1239] As an embodiment, the target first-type parameter group comprises one or more of the following: convolution kernel size, convolution layer number, convolution step length, pooling kernel size, pooling kernel step length, pooling function, activation function, or feature map number.

[1240] As an embodiment, the target first-type parameter set comprises one or more of a convolution kernel, a pooling kernel, a pooling function, an activation function, a parameter of the pooling function, or a parameter of the activation function.

[1241] As an embodiment, the ML comprises AI.

[1242] As an embodiment, the ML comprises ML and AI.

[1243] Embodiment 34

[1244] Embodiment 34 illustrates a schematic diagram of artificial intelligence or machine learning based, according to an embodiment of the present application; as shown in FIG. 34. FIG. 34 comprises a second operation, a third operation, a fourth operation, a fifth operation, and a sixth operation. In embodiment 34, the second operation and the third operation belong to a first phase, the fourth operation belongs to a second phase, the fifth operation belongs to a third phase, and the sixth operation belongs to a fourth phase. In FIG. 34, the line with arrow indicates the order of the flow.

[1245] As an embodiment, the second operation comprises ML training, the third operation comprises ML testing, the fourth operation comprises ML emulation, the fifth operation comprises ML entity loading, and the sixth operation comprises AI inference.

[1246] As an embodiment, the first phase comprises a training phase, the second phase comprises an emulation phase, the third phase comprises a deployment phase, and the fourth phase comprises an inference phase.

[1247] As an embodiment, the first phase comprises ML model training.

[1248] As an embodiment, the first phase comprises ML model training and ML testing.

[1249] As an embodiment, the ML model training comprises initial training and re-training of one or a set of ML models.

[1250] As an embodiment, the ML model training relies on training data.

[1251] As one embodiment, the ML model training includes ML entity validation.

[1252] As one embodiment, the ML entity validation is used to evaluate the performance of the ML entity.

[1253] As one embodiment, the ML entity validation relies on validation data.

[1254] As one embodiment, if the result of the ML entity validation does not meet the expectation, the ML model will be retrained.

[1255] As one embodiment, the ML testing includes testing the validated ML entity to evaluate the performance of the trained ML model.

[1256] As one embodiment, if the result of the ML testing meets the expectation, the ML entity proceeds to the next stage; otherwise, the ML model will be retrained.

[1257] As one embodiment, the ML testing relies on testing data.

[1258] As one embodiment, the second stage includes ML simulation, which simulates the inference of the ML entity in a simulation environment.

[1259] As one embodiment, the ML simulation estimates the performance of the inference of the ML entity in a simulation environment before the ML entity is used.

[1260] As one embodiment, the second stage is optional.

[1261] As one embodiment, the third stage includes ML entity loading, which is to obtain the trained ML entity to obtain the desired AI inference function.

[1262] As one embodiment, the third stage is optional.

[1263] As one embodiment, the third stage is no longer needed when the training function and the inference function are co-located.

[1264] As one embodiment, the fourth stage includes AI inference.

[1265] As one embodiment, the ML includes AI.

[1266] As one embodiment, the AI includes ML.

[1267] Embodiment 35

[1268] Embodiment 35 illustrates a schematic diagram of AI function deployment according to an embodiment of the present application; as shown in FIG. 35.

[1269] In Embodiment 35, 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.

[1270] In Embodiment 35, the RAN domain-specific management function provides the AI training function management capability and the AI inference function management capability.

[1271] Embodiment 36

[1272] Embodiment 36 illustrates a schematic diagram of AI function deployment according to an embodiment of the present application; as shown in FIG. 36.

[1273] In Embodiment 36, the AI training function is located in the RAN domain-specific management function, and the AI inference function is located locally in the UE.

[1274] In Embodiment 36, the management capability of the AI training function is provided by the RAN domain-specific management function, and the management capability of the AI inference is provided locally by the UE.

[1275] In FIG. 36, MnF refers to Management Function.

[1276] Embodiment 37

[1277] Embodiment 37 illustrates a schematic diagram of AI function deployment according to an embodiment of the present application; as shown in FIG. 37.

[1278] In Embodiment 37, the AI training function and the AI inference function are both located in the UE, wherein the UE provides the capability of training and inference.

[1279] In Embodiment 37, the RAN domain-specific management function provides the management capability of the AI training function and the management capability of the AI inference function.

[1280] Embodiment 38

[1281] Embodiment 38 illustrates a schematic diagram of AI function deployment according to an embodiment of the present application; as shown in FIG. 38.

[1282] In embodiment 38, both the AI training function and the AI inference function are located at the UE.

[1283] In embodiment 38, both the management capability of the AI training function and the management capability of the AI inference function are provided locally by the UE.

[1284] In FIG. 38, MnF refers to Management Function.

[1285] Embodiment 39

[1286] Embodiment 39 illustrates a schematic diagram of N first type of CSI and N second type of CSI according to one embodiment of the present application; as shown in FIG. 39. In embodiment 39, the N first type of CSI and the N second type of CSI are one-to-one correspondence, a given first type of CSI is any first type of CSI in the N first type of CSI, a given second type of CSI is the second type of CSI in the N second type of CSI corresponding to the given first type of CSI, the given first type of CSI includes K1 RS resource identifiers and K1 RSRPs, the given second type of CSI includes M2 RSRPs and a first RS resource identifier, the K1 is a positive integer.

[1287] As an embodiment, the RS resource identifier includes CRI or SSBRI.

[1288] As an embodiment, the M2 RSRPs are respectively RSRPs of the M2 RS resources.

[1289] As an embodiment, the first RS resource identifier is an identifier of an RS resource corresponding to a maximum RSRP in the M2 RSRPs.

[1290] 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 a strongest beam for the given time slot interval.

[1291] 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.

[1292] 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.

[1293] As an embodiment, the first performance metric depends on whether the K1 RS resource identifiers include the first RS resource identifier.

[1294] As a sub-embodiment of the above-mentioned embodiment, the first performance metric comprises a percentage of the K1 RS resource identities including the first RS resource identity.

[1295] As an embodiment, the first performance metric depends on an average value or a CDF of a difference between a largest RSRP among the K1 RSRPs and a largest RSRP among the M2 RSRPs.

[1296] As an embodiment, the first performance metric depends on a percentage of a gap between a largest RSRP among the K1 RSRPs and a largest RSRP among the M2 RSRPs not exceeding x dB.

[1297] Embodiment 40

[1298] Embodiment 40 illustrates a schematic diagram of M1 RS resources and M2 RS resources according to an embodiment of the present application; as shown in FIG. 40. In embodiment 40, the M1 RS resources are periodic or quasi-static, a length of a period of each RS resource in the M1 RS resources is a first period length; the M1 RS resources are a subset of the M2 RS resources, RS resources in the M2 RS resources other than the M1 RS resources are aperiodic, and the first signaling triggers the N groups of transmission occasions.

[1299] In FIG. 40, the N groups of transmission occasions are denoted as transmission occasion group #0, …, transmission occasion group #(N-1), respectively.

[1300] As an embodiment, when the M2 RS resources and the M1 RS resources overlap in time domain, each RS resource in the M1 RS resources is transmitted only once.

[1301] As an embodiment, when a group of transmission occasions in the N groups of transmission occasions and the M1 RS resources overlap in time domain, each RS resource in the M1 RS resources is transmitted only once.

[1302] Embodiment 41

[1303] Embodiment 41 illustrates a structural block diagram of a processing apparatus in a first node according to an embodiment of the present application; as shown in FIG. 41. In FIG. 41, the processing apparatus 4100 in the first node comprises a first processor 4101 and a first transmitter 4102.

[1304] In embodiment 41, the first processor 4101 receives a first configuration information block, and the first transmitter 4102 transmits a first reporting information.

[1305] The first configuration information block indicates M1 RS resources and M2 RS resources, M1 and M2 are positive integers greater than 1; the first reporting information is for the first configuration information block, and the first reporting information depends on the output of a first operation and measurement for the M2 RS resources, and the input of the first operation depends on measurement for the M1 RS resources.

[1306] As one embodiment, the first operation is based on training, and the first operation includes inference.

[1307] As one embodiment, the measurement for the M2 RS resources is not used for the input of the first operation; or all or part of the M1 RS resources belong to the M2 RS resources, and the measurement for any RS resource in the M2 RS resources that does not belong to the M1 RS resources is not used for the input of the first operation.

[1308] As one embodiment, any RS resource in the M1 RS resources is a CSI-RS resource or an SS / PBCH block resource, and any RS resource in the M2 RS resources is a CSI-RS resource or an SS / PBCH block resource.

[1309] As one embodiment, N first type CSIs depend on the output of the first operation, the N first type CSIs are respectively for N time slot intervals, any time slot interval in the N time slot intervals includes one or more time slots; N second type CSIs respectively depend on measurement for N groups of transmission opportunities, any group of transmission opportunities in the N groups of transmission opportunities includes transmission opportunities of part or all of the M2 RS resources; N is a positive integer.

[1310] As one 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.

[1311] As one embodiment, the N groups of transmission opportunities respectively belong to the N time slot intervals.

[1312] As one embodiment, the first reporting information includes the N first type CSIs and the N second type CSIs, or the first reporting information depends on the N first type CSIs and the N second type CSIs.

[1313] As one embodiment, the first processor 4101 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.

[1314] As an embodiment, the first report occupies the processing elements from a first symbol until a second symbol; the first symbol depends on the M1 RS resources, and the second symbol depends on the time domain resources allocated to the first report information.

[1315] 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.

[1316] As an embodiment, the P depends on a first component, and the first component is related to the first operation.

[1317] As an embodiment, the first report occupies P1 processing elements, and the P1 is related to the first operation.

[1318] As a sub-embodiment of the above embodiment, the occupying time of the P1 processing elements is different from the occupying time of the P processing elements.

[1319] As an embodiment, the first configuration information block indicates a first identity, and the first operation is associated to the first identity.

[1320] As an embodiment, the first identity is a non-negative integer.

[1321] As an embodiment, whether there is a RS resource in the M1 RS resources and a RS resource in the M2 RS resources have the same quasi co-location relationship, and the capability of the first node are related.

[1322] As an embodiment, the first processor 4101 receives a first signaling; wherein the first signaling triggers the first report information.

[1323] As an embodiment, the first node is a terminal.

[1324] As an embodiment, the first node is a user equipment.

[1325] As an embodiment, the first node is a relay node device.

[1326] As an embodiment, the first processor 4101 comprises at least one of the {antenna 452, receiver 454, receiving processor 456, multi-antenna receiving processor 458, controller / processor 459, memory 460, data source 467} in embodiment 4.

[1327] As one embodiment, the first transmitter 4102 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.

[1328] Embodiment 42

[1329] Embodiment 42 illustrates a structural block diagram of a processing apparatus in a second node according to an embodiment of the application; as shown in drawing 42. In drawing 42, the processing apparatus 4200 in the second node includes a second transmitter 4201 and a first receiver 4202.

[1330] In embodiment 42, the second transmitter 4201 transmits a first configuration information block, and the first receiver 4202 receives a first reporting information.

[1331] In embodiment 42, the first configuration information block indicates M1 RS resources and M2 RS resources, the M1 and the M2 are positive integers greater than 1 respectively; the first reporting information is for the first configuration information block, the first reporting information depends on an output of a first operation and measurements for the M2 RS resources, an input of the first operation depends on measurements for the M1 RS resources.

[1332] As one embodiment, the first operation is based on training, and the first operation includes inference.

[1333] As one embodiment, measurements for the M2 RS resources are not used for the input of the first operation; or, all or part of the M1 RS resources belong to the M2 RS resources, and measurements for any RS resource in the M2 RS resources that does not belong to the M1 RS resources are not used for the input of the first operation.

[1334] As one embodiment, any RS resource in the M1 RS resources is a CSI-RS resource or a SS / PBCH block resource, and any RS resource in the M2 RS resources is a CSI-RS resource or a SS / PBCH block resource.

[1335] As one embodiment, N first type CSI depends on the output of the first operation, the N first type CSI is for N time slot intervals respectively, any time slot interval in the N time slot intervals includes one or more time slots; N second type CSI depends on measurements for N groups of transmission occasions respectively, any group of transmission occasions in the N groups of transmission occasions includes transmission occasions of part or all of the M2 RS resources; the N is a positive integer.

[1336] As an embodiment, the N time intervals are orthogonal to each other, the N groups of transmission occasions are orthogonal to each other in time domain, and the output of the first operation includes the N first type CSI.

[1337] As an embodiment, the N groups of transmission occasions belong to the N time intervals respectively.

[1338] As an embodiment, the first report information includes the N first type CSI and the N second type CSI, or the first report information depends on the N first type CSI and the N second type CSI.

[1339] As an embodiment, a sender of the first report information updates a first report, and the first configuration information block is used to configure the first report; wherein the first report occupies P processing units.

[1340] As an embodiment, the first report occupies the processing units from a first symbol to a second symbol; the first symbol depends on the M1 RS resources, and the second symbol depends on time domain resources allocated to the first report information.

[1341] 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.

[1342] As an embodiment, the P depends on a first component, and the first component is related to the first operation.

[1343] As an embodiment, the first report occupies P1 processing elements, and the P1 is related to the first operation.

[1344] 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.

[1345] As an embodiment, the first configuration information block indicates a first identifier, and the first operation is associated with the first identifier.

[1346] As an embodiment, the first identifier is a non-negative integer.

[1347] As an embodiment, whether there is an RS resource in the M1 RS resources and an RS resource in the M2 RS resources has the same quasi co-site relationship, and the capability of the sender of the first report information is related.

[1348] As an embodiment, the second transmitter 4201 sends first signaling; wherein the first signaling triggers the first report information.

[1349] As one embodiment, the second node is a base station.

[1350] As one embodiment, the second node is a base station device.

[1351] As one embodiment, the second node is a user equipment.

[1352] As one embodiment, the second node is a relay node device.

[1353] As one embodiment, the second transmitter 4201 includes at least one of the {antennas 420, transmitter 418, transmit processor 416, multi-antenna transmit processor 471, controller / processor 475, memory 476} in embodiment 4.

[1354] As one embodiment, the first receiver 4202 includes at least one of the {antennas 420, receiver 418, receive processor 470, multi-antenna receive processor 472, controller / processor 475, memory 476} in embodiment 4.

[1355] A person of ordinary skill in the art can understand that all or part of the steps in the above method can be instructed by a program to complete the relevant hardware, and the program can be stored in a computer readable storage medium, such as a read only memory, a hard disk or an optical disk, etc. Alternatively, all or part of the steps of the above embodiment can also be implemented using one or more integrated circuits. Correspondingly, each module unit in the above embodiment can be implemented in the form of hardware or in the form of a software function module, and the present application is not limited to any specific form of combination of software and hardware. The user equipment, terminal and UE in the present application include but are not limited to unmanned aerial vehicles, communication modules on unmanned aerial vehicles, remote control aircrafts, aircrafts, small aircrafts, mobile phones, tablet computers, notebooks, vehicle-mounted communication devices, vehicles, RSUs, wireless sensors, network cards, Internet of Things terminals, RFID terminals, NB-IOT terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, network cards, vehicle-mounted communication devices, low-cost mobile phones, low-cost tablet computers and other wireless communication devices. The base station or system device in the present application includes but is not limited to macro cellular base stations, micro cellular base stations, small cellular base stations, home base stations, relay base stations, eNBs, gNBs, TRPs (Transmitter Receiver Points), GNSSs, relay satellites, satellite base stations, aerial base stations, RSUs (Road Side Units), unmanned aerial vehicles, test equipment such as wireless communication devices that simulate part of the functions of base stations or signaling testers, etc.

[1356] Those skilled in the art will appreciate that the application can be practiced by other than the described embodiments, which are presented for purposes of illustration and not of limitation, without departing from the core or essential teaching of the application. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.

Claims

1. A method in a terminal used for wireless communication, characterized by, The method comprises: receiving a first configuration information block, the first configuration information block indicating M1 RS resources and M2 RS resources, the M1 and the M2 being positive integers greater than 1 respectively; sending first reporting information, the first reporting information being for the first configuration information block; wherein the first reporting information depends on an output of a first operation and measurements for the M2 RS resources, an input of the first operation depending on measurements for the M1 RS resources.

2. The method of claim 1, wherein, N first type CSI depend on the output of the first operation, the N first type CSI being for N time slot intervals respectively, any time slot interval of the N time slot intervals comprising one or more time slots; N second type CSI depend on measurements for N groups of transmission occasions respectively, any group of transmission occasions of the N groups of transmission occasions comprising transmission occasions of part or all of the M2 RS resources; the N being a positive integer.

3. The method according to claim 1 or 2, characterized in that, The method comprises: updating a first report, the first configuration information block being used to configure the first report; wherein the first report occupies P processing units.

4. The method of claim 3, wherein, The first report occupies the processing units from a first symbol to a second symbol; the first symbol depending on the M1 RS resources, the second symbol depending on time domain resources allocated to the first reporting information.

5. The method according to claim 3 or 4, characterized in that, The P depends on a first value and a second value, the first value depending on the M1, the second value depending on the M2.

6. The method according to any one of claims 3 to 5, characterized in that, The P depends on a first component, the first component being related to the first operation.

7. The method according to any one of claims 3 to 6, characterized in that, The first report occupies P1 processing elements, the P1 being related to the first operation.

8. The method according to any one of claims 1 to 7, characterized in that, The first configuration information block indicates a first identity, the first operation being associated to the first identity.

9. The method according to any one of claims 1 to 8, characterized in that, Whether there is a same quasi co-location relationship between an RS resource of the M1 RS resources and an RS resource of the M2 RS resources is related to a capability of the terminal.

10. The method according to any one of claims 1 to 9, characterized in that, The method comprises: receiving first signaling; wherein the first signaling triggers the first reporting information.

11. A terminal, the terminal comprising: one or more processors and a memory; the memory being coupled to the one or more processors, the memory being configured to store computer program codes, the computer program codes comprising computer instructions, the one or more processors invoking the computer instructions to cause the terminal to perform the method according to any one of claims 1-10.

12. A method in a base station used for wireless communication, characterized by, The method comprises: sending a first configuration information block, the first configuration information block indicating M1 RS resources and M2 RS resources, the M1 and the M2 being positive integers greater than 1 respectively; receiving first reporting information, the first reporting information being for the first configuration information block; wherein the first reporting information depends on an output of a first operation and measurements for the M2 RS resources, an input of the first operation depending on measurements for the M1 RS resources.

13. The method of claim 12, wherein, N first type CSI depends on an output of the first operation, the N first type CSI is respectively for N time slot intervals, any time slot interval in the N time slot intervals includes one or more time slots; N second type CSI respectively depends on measurements for N groups of transmission occasions, any group of transmission occasions in the N groups of transmission occasions includes transmission occasions of part or all of the M2 RS resources; the N is a positive integer.

14. The method according to claim 12 or 13, characterized in that, A sender of the first reporting updates a first reporting, the first configuration information block is used for configuring the first reporting; wherein the first reporting occupies P processing units.

15. The method of claim 14, wherein, The first reporting occupies the processing units from a first symbol to a second symbol; the first symbol depends on the M1 RS resources, and the second symbol depends on time domain resources allocated to the first reporting information.

16. The method according to claim 14 or 15, characterized in that, 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.

17. The method of any one of claims 14-16, wherein, The P depends on a first component, the first component is related to the first operation.

18. The method of any one of claims 14-17, wherein, The first reporting occupies P1 processing elements, the P1 is related to the first operation.

19. The method of any one of claims 12-18, wherein, The first configuration information block indicates a first identifier, and the first operation is associated with the first identifier.

20. The method of any of claims 12-19, wherein, Whether there is an RS resource in the M1 RS resources and an RS resource in the M2 RS resources has the same quasi co-location relationship, and the capability of the sender of the first reporting information is related.

21. The method of any one of claims 12-20, wherein, Comprising: sending first signaling; wherein the first signaling triggers the first reporting information.

22. A base station, characterized in that, the base station comprises one or more processors and a memory; the memory is coupled to the one or more processors, and the memory is configured to store computer program codes, the computer program codes comprising computer instructions, and the one or more processors are configured to invoke the computer instructions to enable the base station to perform the method according to any one of claims 12-21.

Images