Method and apparatus for wireless communication

Abstract

The invention discloses a method and an apparatus used for wireless communication. And the first node sends the first information block. The first information block indicates K channel qualities arranged in sequence, any one of the K channel qualities corresponds to one RS resource in a first RS resource set or a second RS resource set, and the second RS resource set comprises P RS resources associated to P first type identifiers respectively, the first RS resource set comprises P RS resource groups respectively associated to the P first type identifiers; the target channel quality is one of the K channel qualities; the target channel quality corresponds to whether one RS resource in the first RS resource set or the second RS resource set depends on the position of the target channel quality in the K channel qualities. According to the method, the reporting overhead is saved while the reporting performance is improved, so that the system performance is improved.

Description

Technical Field

[0001] This application relates to a transmission method and apparatus in a wireless communication system, and particularly to a solution and apparatus related to channel information in a wireless communication system. Background Art

[0002] In traditional wireless communication, a UE (User Equipment) reports various auxiliary information obtained by measuring downlink signals and / or channels, such as channel information, auxiliary information related to beam management, auxiliary information related to positioning, HARQ-ACK (Hybrid Automatic Repeat Request Acknowledgement) information, beam / wireless link failure auxiliary information, and so on. The UE reports this information to a network device, and the network device selects appropriate transmission parameters for the UE according to the UE's report, such as a resident cell, MCS (Modulation and Coding Scheme), TPMI (Transmitted Precoding Matrix Indicator), TCI (Transmission Configuration Indication), and other parameters. In addition, the UE report can be used to optimize network parameters, such as better cell coverage, switching the base station according to the UE's location, and so on.

[0003] In NR R (release) 18, research on AI (Artificial Intelligence) / ML (Machine Learning) technology was initiated to explore its impact on system performance and system design. AI / ML aims to significantly improve the performance of wireless communication by using advanced artificial intelligence and machine learning technologies. Using AI / ML technology, the system can not only intelligently provide high-quality services according to the perception and learning of the surrounding environment, such as scheduling, data reception, signal processing, encoding and decoding, measurement and reporting, etc., but also intelligently achieve self-optimization and self-maintenance of the network. Compared with traditional processing methods, AI / ML has some unique characteristics, such as relying on models, being based on training, requiring deployment, and having different requirements for computing / processing capabilities and storage capabilities from traditional technologies. According to the 3GPP (3rd Generation Partnership Project) standard TS (Technical Specification) 38.300, AI / ML models and algorithms are outside the scope of 3GPP. Summary of the Invention

[0004] The applicant has found through research that when AI / ML functions are introduced, the existing measurement, calculation, and reporting mechanisms may not be able to meet the requirements of AI / ML. For example, AI / ML models are based on training, and training relies on a large amount of training data. The impact of measuring and transmitting a large amount of training data on the communication system is an issue that needs to be considered. In response to the above problems, the present application discloses a solution. It should be noted that although the motivation of the present application comes from the application of AI / ML, and a large number of embodiments are directed to AI / ML, the present application is also applicable to other solutions, such as traditional measurement, calculation, and reporting solutions. Although the description of some AI / ML models and algorithms is involved in the specification of the present application, those of ordinary skill in the art know that these descriptions are not necessary or irreplaceable for the solutions related to wireless cellular communication. In addition, adopting a unified solution in different scenarios (including but not limited to AI / ML-based solutions and traditional measurement, calculation, and reporting solutions) helps to reduce signaling overhead / complexity, reduce hardware complexity and cost. Without conflict, the embodiments and features in the first node of the present application can be applied to the second node, and vice versa. Without conflict, the embodiments and features in the embodiments of the present application can be combined with each other arbitrarily.

[0005] When necessary, the interpretation of the terms in the present application refers to the definitions in the 3GPP specification protocol series TS38, or, refers to the definitions in the 3GPP specification protocol series TS28.

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

[0007] Sending a first information block, the first information block indicating K channel qualities arranged in sequence, where K is a positive integer greater than 1;

[0008] Among them, any one of the K channel qualities corresponds to one RS resource in the first RS resource set or corresponds to one RS resource in the second RS resource set. The second RS resource set includes P RS resources, where P is a positive integer greater than 1. The P RS resources are respectively associated with P first-class identifiers. The first RS resource set includes P RS resource groups, and the P RS resource groups are respectively associated with the P first-class identifiers; the target channel quality is one of the K channel qualities; whether the RS resource corresponding to the target channel quality corresponds to one RS resource in the first RS resource set or corresponds to one RS resource in the second RS resource set depends on the position of the target channel quality among the K channel qualities, or the position of the target channel quality among the K channel qualities depends on whether the RS resource corresponding to the target channel quality corresponds to one RS resource in the first RS resource set or corresponds to one RS resource in the second RS resource set.

[0009] As an embodiment, the problems to be solved by this application include how to optimize the reporting of channel quality.

[0010] As an embodiment, in the above method, the RS resource corresponding to any one of the K channel qualities can be taken from one of the two RS resource sets. Which one of the two RS resource sets the RS resource corresponding to the target channel quality is taken from depends on the position of the target channel quality among the K channel qualities, thus solving this problem.

[0011] As an embodiment, in the above method, the RS resource corresponding to any one of the K channel qualities can be taken from one of the two RS resource sets. The position of the target channel quality among the K channel qualities depends on which one of the two RS resource sets the RS resource corresponding to the target channel quality is taken from, thus solving this problem.

[0012] As an embodiment, the advantages of the above method include improving the accuracy of channel quality reporting and saving system overhead at the same time.

[0013] As an embodiment, the advantages of the above method include optimizing the overall performance of the system.

[0014] As an embodiment, the advantages of the above method include flexible design to adapt to different terminals.

[0015] As an embodiment, the advantages of the above method include good forward compatibility.

[0016] According to one aspect of the present application, it is characterized in that the first K1 channel qualities among the K channel qualities respectively correspond to K1 RS resources in the first RS resource set, the last K2 channel qualities among the K channel qualities respectively correspond to K2 RS resources in the second RS resource set, and the sum of K1 and K2 is equal to K.

[0017] As an embodiment, the essence of the above method includes that the RS resources in the first RS resource set and the RS resources in the second RS resource set correspond to different beam widths or beam granularities. The above method realizes reporting different beam granularities for beams or RS resources with different channel qualities, reducing the reporting overhead while improving the performance.

[0018] According to one aspect of the present application, it is characterized in that the first information block indicates at least one of K1 and K2.

[0019] As an embodiment, the advantages of the above method include more flexible design, which is applicable to different terminals and different channel environments.

[0020] According to one aspect of the present application, it is characterized in that at least one of K1 and K2 is configured by a higher layer parameter.

[0021] As an embodiment, the advantages of the above method include facilitating joint optimization by the network side and better backward compatibility.

[0022] According to one aspect of the present application, it is characterized in that the first type of identifier associated with any one of the K2 RS resources is different from the first type of identifier associated with the RS resource group to which any one of the K1 RS resources belongs.

[0023] As an embodiment, the advantages of the above method include reducing the reporting overhead.

[0024] According to one aspect of the present application, it is characterized in that the first information block indicates the K1 RS resources.

[0025] As an embodiment, the advantages of the above method include simplifying the signaling design and having good backward compatibility.

[0026] According to one aspect of the present application, it is characterized in that the first M channel qualities among the K channel qualities respectively correspond to M RS resources in the first RS resource set, M is a positive integer greater than 1, and the M RS resources all belong to the same RS resource group among the P RS resource groups.

[0027] As an embodiment, the essence of the above method includes using a smaller granularity for beam reporting in a specific channel quality range (such as but not limited to reporting of CRI, SSBRI, RSRP, and SINR), which improves the accuracy of beam reporting in this part of the channel quality range, thereby improving system performance.

[0028] According to one aspect of the present application, it is characterized in that it includes:

[0029] Receiving a first configuration information block;

[0030] Wherein, the first configuration information block indicates at least one of the first RS resource set, the second RS resource set, and the configuration information of the first information block.

[0031] As an embodiment, the advantages of the above method include flexible signaling design.

[0032] As an embodiment, the advantages of the above method include good backward compatibility.

[0033] According to one aspect of the present application, it is characterized in that the first information block indicates the RS resource corresponding to the maximum channel quality among the K channel qualities.

[0034] As an embodiment, the advantages of the above method include simplified signaling design and good backward compatibility.

[0035] According to one aspect of the present application, it is characterized in that the K channel qualities are associated with a first identifier, and a first model is associated with the first identifier.

[0036] As an embodiment, the advantages of the above method include optimizing data reporting for AI / ML model training, reducing reporting overhead while ensuring reporting accuracy, thereby optimizing the performance of the AI / ML solution.

[0037] As an embodiment, the advantages of the above method include making the model training and inference of AI / ML more matching, further improving the performance of the AI / ML solution.

[0038] As an embodiment, the advantages of the above method include making the functions of the AI / ML model more specialized, reducing the number of parameters required by the model, reducing complexity, and improving performance at the same time.

[0039] According to one aspect of the present application, it is characterized in that the first information block does not include the identifiers of the K2 RS resources.

[0040] The advantages of the above method include saving air interface overhead.

[0041] According to one aspect of the present application, it is characterized in that the first information block belongs to the first data set.

[0042] As an embodiment, the advantages of the above method include better meeting the special requirements of AI or ML solutions and optimizing the performance improvement brought by AI or ML solutions.

[0043] As an embodiment, the advantages of the above method include optimizing the data reporting for AI / ML training.

[0044] According to one aspect of the present application, it is characterized in that the first information block is transmitted on a first radio bearer, and the first radio bearer is a new radio bearer other than the radio bearers supported by 3GPP R19.

[0045] As an embodiment, the advantages of the above method include good forward compatibility.

[0046] The present application discloses a method in a second node for wireless communication, which is characterized by including:

[0047] Receiving a first information block, where the first information block indicates K channel qualities arranged in sequence, and K is a positive integer greater than 1;

[0048] Wherein, any one of the K channel qualities corresponds to one RS resource in the first RS resource set or corresponds to one RS resource in the second RS resource set. The second RS resource set includes P RS resources, and P is a positive integer greater than 1. The P RS resources are respectively associated with P first-class identifiers. The first RS resource set includes P RS resource groups, and the P RS resource groups are respectively associated with the P first-class identifiers; the target channel quality is one of the K channel qualities; whether the target channel quality corresponds to one RS resource in the first RS resource set or corresponds to one RS resource in the second RS resource set depends on the position of the target channel quality among the K channel qualities, or the position of the target channel quality among the K channel qualities depends on whether the target channel quality corresponds to one RS resource in the first RS resource set or corresponds to one RS resource in the second RS resource set.

[0049] According to one aspect of the present application, it is characterized in that the first K1 channel qualities among the K channel qualities respectively correspond to K1 RS resources in the first RS resource set, and the last K2 channel qualities among the K channel qualities respectively correspond to K2 RS resources in the second RS resource set, and the sum of K1 and K2 is equal to K.

[0050] According to one aspect of the present application, it is characterized in that the first information block indicates at least one of the K1 and the K2.

[0051] According to one aspect of the present application, it is characterized in that at least one of the K1 and the K2 is configured by a higher layer parameter.

[0052] According to one aspect of the present application, it is characterized in that the first type of identifier associated with any one of the K2 RS resources is different from the first type of identifier associated with the RS resource group to which any one of the K1 RS resources belongs.

[0053] According to one aspect of the present application, it is characterized in that the first information block indicates the K1 RS resources.

[0054] According to one aspect of the present application, it is characterized in that the first M channel qualities among the K channel qualities respectively correspond to M RS resources in the first RS resource set, where M is a positive integer greater than 1, and the M RS resources all belong to the same RS resource group among the P RS resource groups.

[0055] According to one aspect of the present application, it is characterized in that it includes:

[0056] Transmit a first configuration information block;

[0057] Wherein, the first configuration information block indicates at least one of the configuration information of the first RS resource set, the second RS resource set, and the first information block.

[0058] According to one aspect of the present application, it is characterized in that the first information block indicates the RS resource corresponding to the maximum channel quality among the K channel qualities.

[0059] According to one aspect of the present application, it is characterized in that the K channel qualities are associated with a first identifier, and a first model is associated with the first identifier.

[0060] According to one aspect of the present application, it is characterized in that the first information block does not include the identifiers of the K2 RS resources.

[0061] According to one aspect of the present application, it is characterized in that the first information block belongs to a first data set.

[0062] According to one aspect of the present application, it is characterized in that the first information block is transmitted on a first radio bearer, and the first radio bearer is a new radio bearer other than the radio bearers supported by 3GPP R19.

[0063] The present application discloses a first node for use in wireless communication, characterized in that it includes:

[0064] A first processor that sends a first information block, where the first information block indicates K channel qualities arranged in sequence, and K is a positive integer greater than 1;

[0065] Wherein, any one of the K channel qualities corresponds to an RS resource in a first RS resource set or corresponds to an RS resource in a second RS resource set, the second RS resource set includes P RS resources, P is a positive integer greater than 1, the P RS resources are respectively associated with P first-class identifiers, the first RS resource set includes P RS resource groups, and the P RS resource groups are respectively associated with the P first-class identifiers; a target channel quality is one of the K channel qualities; whether the target channel quality corresponds to an RS resource in the first RS resource set or corresponds to an RS resource in the second RS resource set depends on the position of the target channel quality among the K channel qualities, or, the position of the target channel quality among the K channel qualities depends on whether the target channel quality corresponds to an RS resource in the first RS resource set or corresponds to an RS resource in the second RS resource set.

[0066] This application discloses a second node for use in wireless communication, characterized by including:

[0067] A second processor that receives a first information block, where the first information block indicates K channel qualities arranged in sequence, and K is a positive integer greater than 1;

[0068] Wherein, any one of the K channel qualities corresponds to an RS resource in a first RS resource set or corresponds to an RS resource in a second RS resource set, the second RS resource set includes P RS resources, P is a positive integer greater than 1, the P RS resources are respectively associated with P first-class identifiers, the first RS resource set includes P RS resource groups, and the P RS resource groups are respectively associated with the P first-class identifiers; a target channel quality is one of the K channel qualities; whether the target channel quality corresponds to an RS resource in the first RS resource set or corresponds to an RS resource in the second RS resource set depends on the position of the target channel quality among the K channel qualities, or, the position of the target channel quality among the K channel qualities depends on whether the target channel quality corresponds to an RS resource in the first RS resource set or corresponds to an RS resource in the second RS resource set.

[0069] As an embodiment, compared with traditional solutions, this application has the following advantages:

[0070] More accurate channel information reporting improves system performance;

[0071] While improving the reporting performance, it saves the reporting overhead;

[0072] Flexible design with good forward compatibility;

[0073] Fully optimizes the performance improvement brought by AI or ML technology. Brief Description of the Drawings

[0074] Other features, objects, and advantages of the present application will become more apparent by reading the detailed description of the non-limiting embodiments with reference to the following drawings:

[0075] Figure 1 Shows a flowchart of a first information block according to an embodiment of the present application;

[0076] Figure 2 Shows a schematic diagram of a network architecture according to an embodiment of the present application;

[0077] Figure 3 Shows a schematic diagram of an embodiment of a radio protocol architecture of a user plane and a control plane according to an embodiment of the present application;

[0078] Figure 4 Shows a schematic diagram of a first communication device and a second communication device according to an embodiment of the present application;

[0079] Figure 5 Shows a transmission between a first node and a second node according to an embodiment of the present application;

[0080] Figure 6 Shows a schematic diagram of a first information block according to an embodiment of the present application;

[0081] Figure 7 Shows a schematic diagram of P RS resources and P RS resource groups according to an embodiment of the present application;

[0082] Figure 8 Shows a schematic diagram of P RS resources and P RS resource groups according to an embodiment of the present application;

[0083] Figure 9 Shows a schematic diagram of P RS resources and P RS resource groups according to an embodiment of the present application;

[0084] Figure 10 Shows a schematic diagram of the first K1 channel qualities and the last K2 channel qualities according to an embodiment of the present application;

[0085] Figure 11Schematic diagram showing K1 RS resources and K2 RS resources according to an embodiment of the present application;

[0086] Figure 12 Schematic diagram showing that a first information block indicates at least one of both K1 and K2 according to an embodiment of the present application;

[0087] Figure 13 Schematic diagram showing that at least one of both K1 and K2 is a higher layer parameter configuration according to an embodiment of the present application;

[0088] Figure 14 Schematic diagram showing that a first information block indicates K1 RS resources according to an embodiment of the present application;

[0089] Figure 15 Schematic diagram showing RS resources corresponding to the first M channel qualities among K channel qualities according to an embodiment of the present application;

[0090] Figure 16 Schematic diagram showing a first configuration information block according to an embodiment of the present application;

[0091] Figure 17 Schematic diagram showing that a first information block indicates RS resources corresponding to the maximum channel quality among K channel qualities according to an embodiment of the present application;

[0092] Figure 18 Schematic diagram showing RS resources corresponding to the maximum channel quality among K channel qualities according to an embodiment of the present application;

[0093] Figure 19 Schematic diagram showing that K channel qualities and a first model are both associated with a first identifier according to an embodiment of the present application;

[0094] Figure 20 Schematic diagram showing a first information block according to an embodiment of the present application;

[0095] Figure 21 Schematic diagram showing K1 RS resources and K2 RS resources according to an embodiment of the present application;

[0096] Figure 22 Schematic diagram showing that a first information block belongs to a first data set according to an embodiment of the present application;

[0097] Figure 23 Schematic diagram showing that a first information block is transmitted on a first radio bearer according to an embodiment of the present application;

[0098] Figure 24Shows a schematic diagram of deploying a first model according to an embodiment of the present application;

[0099] Figure 25 Shows a schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of the present application;

[0100] Figure 26 Shows a schematic diagram based on artificial intelligence or machine learning according to an embodiment of the present application;

[0101] Figure 27 Shows a schematic diagram of AI function deployment according to an embodiment of the present application;

[0102] Figure 28 Shows a schematic diagram of AI function deployment according to an embodiment of the present application;

[0103] Figure 29 Shows a structural block diagram of a processing device in a first node according to an embodiment of the present application;

[0104] Figure 30 Shows a structural block diagram of a processing device in a second node according to an embodiment of the present application. Detailed implementation

[0105] The technical solutions of the present application will be further described in detail below in conjunction with the accompanying drawings. It should be noted that, without conflict, the embodiments and features in the embodiments of the present application can be combined arbitrarily. Based on considerations such as performance, flexibility, complexity, overhead, and compatibility, those skilled in the art have the motivation to flexibly combine the embodiments in different drawings on the premise of non-conflict, for example, but not limited to the embodiments in Attachment Figure 1 and the embodiments in Attachment Figure 5 -Attachment Figure 30 and the embodiments in Attachment Figure 5 and the embodiments in Attachment Figure 6 -Attachment Figure 30 and the embodiments in Attachment

[0106] Example 1

[0107] Embodiment 1 exemplifies a flowchart of a first information block according to an embodiment of the present application, as shown in Attachment Figure 1 shown. In 100 shown in Attachment Figure 1 each box represents a step.

[0108] In Embodiment 1, the first node sends a first information block in step 101, where the first information block indicates K channel qualities arranged in sequence, and K is a positive integer greater than 1; any one of the K channel qualities corresponds to one RS resource in a first RS resource set or corresponds to one RS resource in a second RS resource set, the second RS resource set includes P RS resources, P is a positive integer greater than 1, the P RS resources are respectively associated with P first-class identifiers, the first RS resource set includes P RS resource groups, and the P RS resource groups are respectively associated with the P first-class identifiers; the target channel quality is one of the K channel qualities; whether the target channel quality corresponds to one RS resource in the first RS resource set or corresponds to one RS resource in the second RS resource set depends on the position of the target channel quality among the K channel qualities, or the position of the target channel quality among the K channel qualities depends on whether the target channel quality corresponds to one RS resource in the first RS resource set or corresponds to one RS resource in the second RS resource set.

[0109] As a preferred embodiment, the first information block includes the K channel qualities arranged in sequence.

[0110] As an embodiment, the first information block sequentially indicates the K channel qualities.

[0111] As an embodiment, the first information block sequentially includes the K channel qualities.

[0112] As an embodiment, the K channel qualities are arranged in sequence in the first information block.

[0113] As an embodiment, the first information block includes CSI (Channel State Information).

[0114] As an embodiment, the first information block includes UCI (Uplink Control Information).

[0115] As an embodiment, the first information block includes MAC CE (Medium Access Control layer Control Element).

[0116] As an embodiment, the first information block includes RRC (Radio Resource Control) IE (Information Element).

[0117] As an example, the first information block is a CSI report for a CSI reporting configuration.

[0118] As an example, the first information block is a CSI report for a CSI-ReportConfig IE.

[0119] As an example, the K channel qualities include CSI.

[0120] As an example, the K channel qualities include RSRP (Reference Signal Received Power).

[0121] As an example, the K channel qualities include CRI (CSI-RS Resource Indicator) or SSBRI (SS / PBCH Block Resource Indicator).

[0122] As an example, the K channel qualities include RSRP and also include CRI or SSBRI.

[0123] As an example, the K channel qualities include RSRP, CRI, and SSBRI.

[0124] As an example, the K channel qualities include SINR (Signal-to-Interference and Noise Ratio).

[0125] As an example, the K channel qualities include SINR and also include CRI or SSBRI.

[0126] As an example, the K channel qualities include SINR, CRI, and SSBRI.

[0127] As an example, the K channel qualities include CQI (Channel Quality Indicator), RSRQ (Reference Signal Received Quality), or RSSI (Received Signal Strength Indicator).

[0128] As a preferred example, any one of the K channel qualities includes RSRP.

[0129] As an example, any one of the K channel qualities includes an RSRP reporting value.

[0130] As an embodiment, any one of the K channel qualities is the RSRP.

[0131] As a preferred embodiment, any one of the K channel qualities indicates an RSRP interval.

[0132] As an embodiment, any one of the K channel qualities includes the SINR.

[0133] As an embodiment, any one of the K channel qualities includes the SINR reporting value.

[0134] As an embodiment, any one of the K channel qualities is the SINR.

[0135] As a preferred embodiment, any one of the K channel qualities indicates a SINR interval.

[0136] As an embodiment, any one of the K channel qualities includes the RSRQ.

[0137] As an embodiment, any one of the K channel qualities includes the RSSI.

[0138] As an embodiment, the RSRP includes the L1-RSRP (Layer 1 RSRP).

[0139] As an embodiment, the RSRP includes the L3-RSRP (Layer 3 RSRP).

[0140] As an embodiment, the SINR includes the L1-SINR (Layer 1 SINR).

[0141] As an embodiment, the SINR includes the L3-SINR (Layer 3 SINR).

[0142] As a preferred embodiment, the first channel quality among the K channel qualities is the largest channel quality among the K channel qualities.

[0143] As a preferred embodiment, the first channel quality among the K channel qualities is the RSRP, and the (K - 1) channel qualities other than the first channel quality among the K channel qualities are all differential RSRP (differential RSRP).

[0144] As an embodiment, the first channel quality among the K channel qualities is the SINR, and the (K - 1) channel qualities other than the first channel quality among the K channel qualities are all differential SINR (differential SINR).

[0145] As an embodiment, the differential RSRP or differential SINR is referenced to the first channel quality.

[0146] As an embodiment, among the first M1 channel qualities of the K channel qualities, there is a channel quality that is the maximum channel quality among the K channel qualities, and M1 is the number of RS resources included in any one of the P RS resource groups.

[0147] As an embodiment, among the first M1 channel qualities of the K channel qualities, there is a channel quality that is RSRP or SINR, and the (K - 1) channel qualities among the K channel qualities other than the one channel quality are all differential RSRP or differential SINR, and M1 is the number of RS resources included in any one of the P RS resource groups.

[0148] As a sub - embodiment of the above embodiment, the differential RSRP or differential SINR is referenced to the one channel quality.

[0149] As an embodiment, K is configurable.

[0150] As an embodiment, K depends on the configuration of higher - layer parameters.

[0151] As an embodiment, K is configured for the first node.

[0152] As an embodiment, K is indicated by the first information block.

[0153] As an embodiment, K depends on the UE capability of the first node.

[0154] As an embodiment, K is reported by the first node.

[0155] As an embodiment, the number of quantization bits of the first channel quality among the K channel qualities is different from the number of quantization bits of any one of the K channel qualities other than the first channel quality.

[0156] As an embodiment, the number of quantization bits of the first channel quality among the K channel qualities is greater than the number of quantization bits of any one of the K channel qualities other than the first channel quality.

[0157] As an embodiment, the first channel quality among the K channel qualities is quantized into Q1 bits, and any one of the K channel qualities other than the first channel quality is quantized into Q2 bits, and Q1 is greater than Q2.

[0158] As an example, the number of quantization bits of the maximum channel quality among the K channel qualities is greater than the number of quantization bits of any of the channel qualities among the K channel qualities other than the maximum channel quality.

[0159] As an example, the first RS resource set includes one or more RS resources.

[0160] As an example, the first RS resource set includes CSI-RS (Channel State Information Reference Signal) resources.

[0161] As an example, the first RS resource set includes SS / PBCH (Synchronisation Signal / Physical Broadcast Channel) block resources.

[0162] As an example, the first RS resource set includes DMRS (Demodulation Reference Signal).

[0163] As an example, the first RS resource set includes PRS (Positioning Reference Signal) resources.

[0164] As an example, the first RS resource set includes PTRS (Phase-Tracking Reference Signal).

[0165] As an example, any RS resource in the first RS resource set is a CSI-RS resource.

[0166] As an example, any RS resource in the first RS resource set is an SS / PBCH block resource.

[0167] As an example, a part of the RS resources in the first RS resource set are CSI-RS resources, and another part of the RS resources are SS / PBCH block resources.

[0168] As an example, any RS resource in the first RS resource set is a DMRS resource.

[0169] As an example, any RS resource in the first RS resource set is a PRS resource.

[0170] As an example, the first RS resource set is a CSI-RS resource set.

[0171] As an example, the first RS resource set is a CSI-SSB (Synchronization Signal Block) resource set.

[0172] As an example, the second RS resource set includes one or more RS resources.

[0173] As an example, the second RS resource set includes CSI-RS resources.

[0174] As an example, the second RS resource set includes SS / PBCH block resources.

[0175] As an example, the second RS resource set includes DMRS.

[0176] As an example, the second RS resource set includes PRS resources.

[0177] As an example, the second RS resource set includes PTRS.

[0178] As an example, any RS resource in the second RS resource set is a CSI-RS resource.

[0179] As an example, any RS resource in the second RS resource set is an SS / PBCH block resource.

[0180] As an example, some of the RS resources in the second RS resource set are CSI-RS resources, and some of the RS resources are SS / PBCH block resources.

[0181] As an example, any RS resource in the second RS resource set is a DMRS resource.

[0182] As an example, any RS resource in the second RS resource set is a PRS resource.

[0183] As an example, the second RS resource set is a CSI-RS resource set.

[0184] As an example, the second RS resource set is a CSI-SSB resource set.

[0185] As an example, any RS resource in the first RS resource set is a CSI-RS resource, and any RS resource in the second RS resource set is an SS / PBCH block resource.

[0186] As an example, any RS resource in the first RS resource set is a CSI-RS resource, and any RS resource in the second RS resource set is a CSI-RS resource.

[0187] As an example, a CSI-RS resource is identified by an NZP-CSI-RS-ResourceId.

[0188] As an example, an SS / PBCH block resource is identified by an SSB-Index.

[0189] As an example, a CSI-RS resource set is identified by an NZP-CSI-RS-ResourceSetId.

[0190] As an example, a CSI-SSB resource set is identified by a CSI-SSB-ResourceSetId.

[0191] As an example, the identifier of any RS resource in the first RS resource set is different from the identifier of any RS resource in the second RS resource set.

[0192] As an example, the identifier of a CSI-RS resource is NZP-CSI-RS-ResourceId.

[0193] As an example, the identifier of an SS / PBCH block resource is SSB-Index.

[0194] As a preferred example, any RS resource in the first RS resource set and an RS resource in the second RS resource set are quasi co-located.

[0195] As an example, any RS resource in the first RS resource set and an RS resource in the second RS resource set are quasi co-located, and the corresponding quasi co-location type includes Type-D.

[0196] As a preferred example, any RS resource in the second RS resource set and at least one RS resource in the first RS resource set are both quasi co-located with the same RS resource.

[0197] As an example, any RS resource in the second RS resource set and at least one RS resource in the first RS resource set are both quasi co-located with the same RS resource, and the corresponding quasi co-location type includes Type-D.

[0198] As an embodiment, the number of RS resources included in the first RS resource set is greater than the number of RS resources included in the second RS resource set.

[0199] As an embodiment, the number of RS resources included in the first RS resource set is a positive integer multiple of the number of RS resources included in the second RS resource set.

[0200] As an embodiment, there are multiple RS resources in the first RS resource set that are quasi co-located with the same RS resource in the second RS resource set.

[0201] As an embodiment, there are multiple RS resources in the first RS resource set that are quasi co-located with the same RS resource in the second RS resource set, and the corresponding quasi co-location type includes Type-D.

[0202] As an embodiment, P is a positive integer not greater than 64.

[0203] As an embodiment, P is a positive integer not greater than 128.

[0204] As an embodiment, K is less than P.

[0205] As an embodiment, K is greater than P.

[0206] As an embodiment, any one of the P RS resource groups includes multiple RS resources in the first RS resource set.

[0207] As an embodiment, any one of the P RS resource groups is composed of multiple RS resources in the first RS resource set.

[0208] As an embodiment, there is no RS resource in the first RS resource set that belongs to two of the P RS resource groups at the same time.

[0209] As a preferred embodiment, any two of the P RS resource groups include an equal number of RS resources.

[0210] As an embodiment, there are two RS resource groups among the P RS resource groups that include an unequal number of RS resources.

[0211] As an embodiment, the P RS resource groups constitute the first RS resource set.

[0212] As an embodiment, the P RS resource groups depend on the configuration of higher layer parameters.

[0213] As an example, which RS resources in any one of the P RS resource groups are included in the first RS resource set depends on the configuration of higher layer parameters.

[0214] As an example, the number of RS resources included in any one of the P RS resource groups does not need to be explicitly configured.

[0215] As an example, the number of RS resources included in the first RS resource set is equal to P2, where P2 is a positive integer multiple of P, and the number of RS resources included in any one of the P RS resource groups is equal to P2 divided by P.

[0216] As an example, the P first type identifiers are respectively P non - negative integers.

[0217] As an example, the first type identifier is the identifier of an RS resource.

[0218] As an example, the first type identifier is used to identify an RS resource.

[0219] As an example, the identifier of the RS resource includes at least one of NZP - CSI - RS - ResourceId and SSB - Index.

[0220] As an example, the identifier of the RS resource includes at least one of CRI and SSBRI.

[0221] As an example, the first type identifier is the TCI (Transmission Configuration Indicator) state identifier.

[0222] As an example, the TCI state identifier includes at least one of TCI - StateId and TCI - UL - StateId.

[0223] As an example, the first type identifier is used to identify the TCI state.

[0224] As an example, the first type identifier is the CORESET (Control Resource Set) pool index (coresetPoolIndex).

[0225] As an example, the first type identifier is used to identify the CORESET pool.

[0226] As an example, the P first type identifiers are respectively P positive integers.

[0227] As an example, the first type of identifier is used to identify which indicated TCI state it is.

[0228] As an example, the indicated TCI state refers to the TCI state indicated by DCI.

[0229] As an example, the indicated TCI state refers to the TCI state indicated by DCI format 1_1 or 1_2.

[0230] As an example, the indicated TCI state refers to the downlink TCI state indicated by DCI.

[0231] As an example, the indicated TCI state refers to the TCI state indicated by DCI, where the first node is configured with a higher-layer parameter whose name includes dl-OrJointTCI-StateList.

[0232] As an example, the indicated TCI state refers to the TCI state indicated by DCI, where the first node is configured with a higher-layer parameter whose name includes dl-OrJointTCI-StateList, and receives an activation command to map up to 8 TCI states or TCI state pairs or TCI state groups to the code points of the DCI field Transmission Configuration Indication.

[0233] As an example, the P RS resources are respectively associated with P first-type identifiers, including that the P RS resources are respectively identified by the P first-type identifiers.

[0234] As an example, the P RS resources are respectively associated with P first-type identifiers, including that the identifiers of the P RS resources are respectively the P first-type identifiers.

[0235] As an example, for any one of the P RS resources being a CSI-RS resource or an SS / PBCH block resource, the P RS resources are respectively associated with P first-type identifiers, including that the NZP-CSI-RS-ResourceId or SSB-Index of any one of the P RS resources is the associated first-type identifier.

[0236] As an example, any one of the P RS resources, which is a CSI-RS resource or an SS / PBCH block resource, and the P RS resources are respectively associated with P first-type identifiers, where the CRI (CSI-RS Resource Indicator) or SSBRI (SS / PBCH Block Resource Indicator) of any one of the P RS resources is the first-type identifier it is associated with.

[0237] As an example, the P RS resources are respectively associated with P first-type identifiers, including that the P RS resources are quasi-co-located with the RS resources identified by the P first-type identifiers.

[0238] As an example, the P RS resources are respectively associated with P first-type identifiers, including that the P RS resources are quasi-co-located with the RS resources identified by the P first-type identifiers and the corresponding quasi-co-location type includes TypeD.

[0239] As an example, the P RS resources are respectively associated with P first-type identifiers, including that the TCI states of the P RS resources are respectively the TCI states identified by the P first-type identifiers.

[0240] As an example, the identifier of any one of the P RS resources is the first-type identifier it is associated with.

[0241] As an example, the identifier of any one of the P RS resources is different from the first-type identifier it is associated with.

[0242] As an example, the P RS resource groups are respectively associated with the P first-type identifiers, including that the RS resources in the P RS resource groups are quasi-co-located with the RS resources identified by the P first-type identifiers.

[0243] As an example, the P RS resource groups are respectively associated with the P first-type identifiers, including that the RS resources in the P RS resource groups are quasi-co-located with the RS resources identified by the P first-type identifiers and the corresponding quasi-co-location type includes TypeD.

[0244] As an example, the P RS resource groups are respectively associated with the P first-type identifiers, including that the TCI states of the RS resources in the P RS resource groups are respectively the TCI states identified by the P first-type identifiers.

[0245] As an embodiment, the P RS resource groups are respectively associated with the P first type identifiers, and the RS resources in the P RS resource groups respectively have the same TCI state as the RS resources identified by the P first type identifiers.

[0246] As a preferred embodiment, the P RS resources and the P RS resource groups are in one-to-one correspondence, and any one of the P RS resources and the corresponding RS resource group are associated with the same first type identifier among the P first type identifiers.

[0247] As a sub - embodiment of the above - mentioned embodiment, each RS resource in any one of the P RS resource groups is quasi - co - located with the corresponding RS resource.

[0248] As a sub - embodiment of the above - mentioned embodiment, each RS resource in any one of the P RS resource groups is quasi - co - located with the corresponding RS resource, and the corresponding quasi - co - location type includes TypeD.

[0249] As a sub - embodiment of the above - mentioned embodiment, each RS resource in any one of the P RS resource groups is quasi - co - located with the same RS resource as the corresponding RS resource.

[0250] As a sub - embodiment of the above - mentioned embodiment, the beam of any one RS resource in any one of the P RS resource groups is covered by the beam of the corresponding RS resource.

[0251] As a sub - embodiment of the above - mentioned embodiment, the coverage range of the beam of any one RS resource in the P RS resources includes the coverage range of the beam of each RS resource in the corresponding RS resource group.

[0252] As an embodiment, any one of the K channel qualities depends on the measurement on one RS resource in the first RS resource set or depends on the measurement on one RS resource in the second RS resource set.

[0253] As a preferred embodiment, any one of the K channel qualities depends on the measurement on its corresponding RS resource.

[0254] As an embodiment, the first node obtains channel measurements for generating the K channel qualities based on at least one of the first RS resource set and the second RS resource set.

[0255] As an embodiment, the first node obtains channel measurements for generating the K channel qualities based on the first RS resource set and the second RS resource set.

[0256] As an embodiment, any one of the K channel qualities indicates the quality of the channel experienced by the RS transmitted on one RS resource in the first RS resource set or indicates the quality of the channel experienced by the RS transmitted on one RS resource in the second RS resource set.

[0257] As an embodiment, any one of the K channel qualities indicates the quality of the channel experienced by the RS transmitted on its corresponding RS resource.

[0258] As a preferred embodiment, one channel quality corresponding to one RS resource includes that the one channel quality depends on the measurement on the one RS resource.

[0259] As an embodiment, one channel quality corresponding to one RS resource includes that the one channel quality depends on the channel measurement on the one RS resource.

[0260] As an embodiment, one channel quality corresponding to one RS resource includes that the one channel quality indicates the quality of the channel experienced by the RS transmitted on the one RS resource.

[0261] As an embodiment, one channel quality corresponding to one RS resource includes that the receiver of the one channel quality determines the quality of the channel experienced by the RS transmitted on the one RS resource according to the one channel quality.

[0262] As an embodiment, one channel quality corresponding to one RS resource includes that the one channel quality depends on the measurement on one or more other RS resources that are quasi - co - located with the one RS resource.

[0263] As an embodiment, one channel quality corresponding to one RS resource includes that the one channel quality depends on the measurement on the RS resource group associated with the one RS resource and having the same first - type identifier.

[0264] As an embodiment, the measurement includes channel measurement.

[0265] As an embodiment, the measurement refers to channel measurement.

[0266] As an embodiment, there are two channel qualities among the K channel qualities that respectively correspond to one RS resource in the first RS resource set and one RS resource in the second RS resource set.

[0267] As an embodiment, the target channel quality is any one of the K channel qualities.

[0268] As an example, the target channel quality is any one of the K channel qualities except the first channel quality.

[0269] As an example, the target channel quality corresponds to one RS resource in the first RS resource set.

[0270] As an example, the target channel quality corresponds to one RS resource in the second RS resource set.

[0271] As an example, whether any one of the K channel qualities corresponds to one RS resource in the first RS resource set or one RS resource in the second RS resource set depends on the position of the any one of the K channel qualities among the K channel qualities.

[0272] As an example, the target channel quality corresponds to a target RS resource; whether the target RS resource is one RS resource in the first RS resource set or one RS resource in the second RS resource set depends on the position of the target channel quality among the K channel qualities.

[0273] As an example, the position of any one of the K channel qualities among the K channel qualities depends on whether the any one of the K channel qualities corresponds to one RS resource in the first RS resource set or one RS resource in the second RS resource set.

[0274] As an example, the target channel quality corresponds to a target RS resource; the position of the target channel quality among the K channel qualities depends on whether the target RS resource is one RS resource in the first RS resource set or one RS resource in the second RS resource set.

[0275] As an example, the target channel quality corresponds to a target RS resource, and the target channel quality depends on the measurement on the target RS resource.

[0276] As an example, the target channel quality corresponds to a target RS resource, and the first node obtains channel measurements for generating the target channel quality based on the target RS resource.

[0277] As an example, the target channel quality corresponds to a target RS resource, the target RS resource is one RS resource in the first RS resource set, and the target channel quality depends on the measurement on the target RS resource.

[0278] As an embodiment, the target channel quality corresponds to a target RS resource, the target RS resource is one of the RS resources in the second RS resource set, and the target channel quality depends on measurements on the target RS resource.

[0279] As an embodiment, the target channel quality corresponds to a target RS resource, the target RS resource is one of the RS resources in the second RS resource set, and the target channel quality depends on measurements on the RS resources in the P RS resource groups and the RS resource group associated with the target RS resource and belonging to the same first type of identifier.

[0280] As a sub - embodiment of the above - mentioned embodiment, the target channel quality depends on measurements on each of the RS resources in the P RS resource groups and the RS resource group associated with the target RS resource and belonging to the same first type of identifier.

[0281] As a sub - embodiment of the above - mentioned embodiment, the target channel quality depends on measurements on only some of the RS resources in the P RS resource groups and the RS resource group associated with the target RS resource and belonging to the same first type of identifier.

[0282] As an embodiment, the position of the target channel quality among the K channel qualities means which channel quality the target channel quality is among the K channel qualities arranged in sequence.

[0283] As an embodiment, whether the target channel quality corresponds to an RS resource in the first RS resource set or an RS resource in the second RS resource set depends on the position of the target channel quality among the K channel qualities.

[0284] As a preferred embodiment, the target receiver of the first information block determines whether the target channel quality corresponds to an RS resource in the first RS resource set or an RS resource in the second RS resource set according to the position of the target channel quality among the K channel qualities.

[0285] As an embodiment, the position of the target channel quality among the K channel qualities depends on whether the target channel quality corresponds to an RS resource in the first RS resource set or an RS resource in the second RS resource set.

[0286] As a preferred embodiment, the first node determines the position of the target channel quality among the K channel qualities according to whether the target channel quality corresponds to an RS resource in the first RS resource set or an RS resource in the second RS resource set.

[0287] Example 2

[0288] Example 2 illustrates a schematic diagram of a network architecture according to an embodiment of the present application, as shown in the appended Figure 2 figure.

[0289] The appended Figure 2Describes the 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 the future continuous evolution of 3GPP; 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 at least one of UE (User Equipment) 201, RAN (Radio Access Network) 202, core network 210, HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and Internet service 230. The network architecture 200 can be interconnected with other access networks, but these entities / interfaces are not shown for simplicity. As shown, the network architecture 200 provides packet-switched services. However, those skilled in the art will readily understand that the various concepts presented throughout this application can be extended to networks providing circuit-switched services or other cellular networks. The RAN includes node 203. The RAN may also include other nodes 204. Node 203 provides user and control plane protocol termination towards UE 201. Node 203 can be connected to other nodes 204 via the Xn interface (e.g., backhaul) / X2 interface. Node 203 can also be referred to as a base station, base transceiver station, radio base station, radio transceiver, transceiver function, basic service set (BSS), extended service set (ESS), TRP (Transmit Receive Point), or some other appropriate term. The core network 210 is 5GC (5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is 6GC; node 203 provides an access point for UE 201 to the core network 210.Examples of the 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, aircraft, narrowband Internet of Things devices, machine type communication devices, land vehicles, automobiles, wearable devices, or any other similar functional devices. Those skilled in the art may also refer to the UE 201 as a mobile station, subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, or some other suitable term. The node 203 is connected to the core network 210 through the S1 / NG interface. The core network 210 includes an MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MME / AMF / SMFs 214, an S-GW (Service Gateway) / UPF (User Plane Function) 212, and a P-GW (Packet Date Network Gateway) / UPF 213. The MME / AMF / SMF 211 is a control node that processes the signaling between the UE 201 and the core network 210. Generally, the MME / AMF / SMF 211 provides bearer and connection management. All user IP (Internet Protocal) packets are transmitted through the S-GW / UPF 212, which is itself connected to the P-GW / UPF 213. The P-GW provides UE IP address allocation and other functions. The P-GW / UPF 213 is connected to the Internet service 230. The Internet service 230 includes carrier-corresponding Internet protocol services, which may specifically include the Internet, intranet, IMS (IP Multimedia Subsystem), and packet switching services.

[0290] As an embodiment, the first node includes the UE 201.

[0291] As an embodiment, the second node includes the node 203.

[0292] As an example, the radio link between the UE 201 and the node 203 includes a cellular network link.

[0293] As an example, the sender of the first information block includes the UE 201.

[0294] As an example, the receiver of the first information block includes the node 203.

[0295] As an example, the sender of the first configuration information block includes the node 203.

[0296] As an example, the receiver of the first configuration information block includes the UE 201.

[0297] As an example, the UE 201 supports operations based on AI or ML.

[0298] As an example, the node 203 supports operations based on AI or ML.

[0299] Example 3

[0300] Embodiment 3 exemplifies a schematic diagram of an embodiment of the radio protocol architecture of the user plane and the control plane according to an embodiment of the present application, as shown in the appendix Figure 3 as shown.

[0301] Embodiment 3 shows a schematic diagram of an embodiment of the radio protocol architecture of a user plane and a control plane according to the present application, as shown in the appendix Figure 3 as shown. Figure 3 is a schematic diagram illustrating an embodiment of the radio protocol architecture for the user plane 350 and the control plane 300 Figure 3The radio protocol architecture of the control plane 300 for between a first communication node device (UE, gNB or RSU in V2X) and a second communication node device (gNB, UE or RSU in V2X), or between two UEs, is shown with three layers: Layer 1, Layer 2, and Layer 3. Layer 1 (L1 layer) is the lowest layer and implements various PHY (Physical Layer) signal processing functions. Layer 1 will be referred to as PHY 301 in this text. Layer 2 (L2 layer) 305 is above PHY 301 and is responsible for the link between the first communication node device and the second communication node device, or between two UEs. Layer 2 305 includes a MAC (Medium Access Control) sublayer 302, an RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, and these sublayers terminate at the second communication node device. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. The PDCP sublayer 304 also provides security by encrypting data packets, and provides handover support for the first communication node device between the second communication node devices. 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 disordered reception due to HARQ. The MAC sublayer 302 provides multiplexing between logical and transport channels. The MAC sublayer 302 is also responsible for allocating various radio resources (e.g., resource blocks) in a cell between the first communication node devices. The MAC sublayer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sublayer 306 in Layer 3 (L3 layer) of the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and configuring the lower layers using RRC signaling between the second communication node device and the first communication node device. The radio protocol architecture of the user plane 350 includes Layer 1 (L1 layer) and Layer 2 (L2 layer). For the radio protocol architecture for the first communication node device and the second communication node device in the user plane 350, 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 are substantially the same as the corresponding layers and sublayers in the control plane 300, 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 further includes an SDAP (Service Data Adaptation Protocol) sub-layer 356, and the SDAP sub-layer 356 is responsible for the mapping between QoS flows and data radio bearers (DRBs) to support service diversity. Although not shown, the first communication node device may have several upper layers above the L2 layer 355, including a network layer (e.g., IP layer) terminated at the P-GW on the network side and an application layer terminated at the other end of the connection (e.g., a remote UE, a server, etc.).

[0302] As an example, the Figure 3 radio protocol architecture in is applicable to the first node.

[0303] As an example, the Figure 3 radio protocol architecture in is applicable to the second node.

[0304] As an example, the higher layer in this application refers to the layer above the physical layer.

[0305] As an example, the first information block is generated in the PHY301 or the PHY351.

[0306] As an example, the first information block is generated in the MAC sub-layer 302 or the MAC sub-layer 352.

[0307] As an example, the first configuration information block is generated in the RRC sub-layer 306.

[0308] Example 4

[0309] Example 4 exemplifies a schematic diagram of a first communication device and a second communication device according to an embodiment of this application, as shown in the appendix Figure 4 shown. The appendix Figure 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.

[0310] The first communication device 410 includes a controller / processor 475, a memory 476, a receiving processor 470, a transmitting processor 416, a multi-antenna receiving processor 472, a multi-antenna transmitting processor 471, a transmitter / receiver 418, and an antenna 420.

[0311] The second communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmitting processor 468, a receiving processor 456, a multi-antenna transmitting processor 457, a multi-antenna receiving processor 458, a transmitter / receiver 454, and an antenna 452.

[0312] In the transmission from the first communication device 410 to the second communication device 450, at the first communication device 410, the upper layer data packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements the functions of the L2 layer. In the DL (DownLink), the controller / processor 475 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocation to the second communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the second communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for the L1 layer (i.e., the physical layer). The transmit processor 416 implements encoding and interleaving to facilitate forward error correction (FEC) at the second communication device 450, and constellation mapping based on various modulation schemes (e.g., binary phase shift keying (BPSK), quadrature phase shift keying (QPSK), M-phase shift keying (M-PSK), M-quadrature amplitude modulation (M-QAM)). The multi-antenna transmit processor 471 performs digital space precoding on the encoded and modulated symbols, including codebook-based precoding and non-codebook-based precoding, and beamforming processing, to generate one or more parallel streams. The transmit processor 416 then maps each parallel stream to subcarriers, multiplexes the modulated symbols with reference signals (e.g., pilots) in the time domain and / or frequency domain, and then uses the inverse fast Fourier transform (IFFT) to generate a physical channel carrying a time-domain multi-carrier symbol stream. Subsequently, the multi-antenna transmit processor 471 performs transmit analog precoding / beamforming operations on the time-domain multi-carrier symbol stream. Each transmitter 418 converts the baseband multi-carrier symbol stream provided by the multi-antenna transmit processor 471 into a radio frequency stream and then provides it to different antennas 420.

[0313] In the transmission from the first communication device 410 to the second communication device 450, at the second communication device 450, each receiver 454 receives signals through its corresponding antenna 452. Each receiver 454 recovers the information modulated onto the radio frequency carrier, and converts the radio frequency stream into a baseband multi-carrier symbol stream and provides it to the receive processor 456. The receive processor 456 and the multi-antenna receive processor 458 implement various signal processing functions of the L1 layer. The multi-antenna receive processor 458 performs receive analog precoding / beamforming operations on the baseband multi-carrier symbol stream from the receivers 454. The receive processor 456 uses the Fast Fourier Transform (FFT) to convert the baseband multi-carrier symbol stream after the receive analog precoding / beamforming operations from the time domain to the frequency domain. In the frequency domain, the physical layer data signal and the reference signal are demultiplexed by the receive processor 456, where the reference signal will be used for channel estimation, and the data signal recovers any parallel streams destined for the second communication device 450 after multi-antenna detection in the multi-antenna receive processor 458. The symbols on each parallel stream are demodulated and recovered in the receive processor 456, and soft decisions are generated. Subsequently, the receive processor 456 decodes and deinterleaves the soft decisions to recover the upper layer data and control signals transmitted by the first communication device 410 on the physical channel. Subsequently, the upper layer data and control signals are provided to the controller / processor 459. The controller / processor 459 implements the functions of the L2 layer. The controller / processor 459 may be associated with a memory 460 that stores program code and data. The memory 460 may be referred to as a computer-readable medium. In the DL, the controller / processor 459 provides demultiplexing between the transmission and the logical channel, packet reassembly, decryption, header decompression, control signal processing to recover the upper layer data packets from the core network. Subsequently, the upper layer data packets are provided to all protocol layers above the L2 layer. Various control signals may also be provided to the L3 for L3 processing. The controller / processor 459 is also responsible for error detection using the acknowledgment (ACK) and / or negative acknowledgment (NACK) protocols to support HARQ operations.

[0314] In the transmission from the second communication device 450 to the first communication device 410, at the second communication device 450, a data source 467 is used to provide upper layer data packets to a controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmit function at the first communication device 410 described in DL, the controller / processor 459 implements header compression, encryption, packet segmentation and reordering, and multiplexing between logical and transport channels based on the radio resource allocation of the first communication device 410, and implements L2 layer functions for the user plane and the control plane. The controller / processor 459 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the first communication device 410. A transmit processor 468 performs modulation mapping and channel coding processing. A multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based precoding and non-codebook-based precoding, and beamforming processing. Subsequently, the transmit processor 468 modulates the generated parallel streams into multi-carrier / single-carrier symbol streams, and after analog precoding / beamforming operations in the multi-antenna transmit processor 457, provides them to different antennas 452 via a transmitter 454. Each transmitter 454 first converts the baseband symbol stream provided by the multi-antenna transmit processor 457 into a radio frequency symbol stream and then provides it to the antenna 452.

[0315] In the transmission from the second communication device 450 to the first communication device 410, the functions at the first communication device 410 are similar to the receive functions at the second communication device 450 described in the transmission from the first communication device 410 to the second communication device 450. Each receiver 418 receives radio frequency signals through its corresponding antenna 420, converts the received radio frequency signals into baseband signals, and provides the baseband signals to a multi-antenna receive processor 472 and a receive processor 470. The receive processor 470 and the multi-antenna receive processor 472 jointly implement the functions of the L1 layer. A controller / processor 475 implements the L2 layer functions. The controller / processor 475 may be associated with a memory 476 that stores program code and data. The memory 476 may be referred to as a computer-readable medium. The controller / processor 475 provides demultiplexing between transport and logical channels, packet reassembly, decryption, header decompression, and control signal processing to recover upper layer data packets from the second communication device 450. The upper layer data packets from the controller / processor 475 may be provided to the core network. The controller / processor 475 is also responsible for error detection using the ACK and / or NACK protocols to support HARQ operations.

[0316] As an embodiment, the second communication device 450 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used together with the at least one processor. The second communication device 450 is configured to at least: send the first information block. The first information block indicates K channel qualities arranged in sequence, where K is a positive integer greater than 1; any one of the K channel qualities corresponds to one RS resource in a first RS resource set or corresponds to one RS resource in a second RS resource set, the second RS resource set includes P RS resources, where P is a positive integer greater than 1, the P RS resources are respectively associated with P first-class identifiers, the first RS resource set includes P RS resource groups, and the P RS resource groups are respectively associated with the P first-class identifiers; the target channel quality is one of the K channel qualities; whether the target channel quality corresponds to one RS resource in the first RS resource set or corresponds to one RS resource in the second RS resource set depends on the position of the target channel quality among the K channel qualities, or, the position of the target channel quality among the K channel qualities depends on whether the target channel quality corresponds to one RS resource in the first RS resource set or corresponds to one RS resource in the second RS resource set.

[0317] As an embodiment, the second communication device 450 includes: a memory storing a computer-readable instruction program, the computer-readable instruction program generating actions when executed by at least one processor, the actions including: sending the first information block.

[0318] As an example, the first communication device 410 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor. The first communication device 410 is at least configured to: receive the first information block. The first information block indicates K channel qualities arranged in sequence, where K is a positive integer greater than 1; any one of the K channel qualities corresponds to one RS resource in a first RS resource set or corresponds to one RS resource in a second RS resource set, the second RS resource set includes P RS resources, where P is a positive integer greater than 1, the P RS resources are respectively associated with P first type identifiers, the first RS resource set includes P RS resource groups, and the P RS resource groups are respectively associated with the P first type identifiers; the target channel quality is one of the K channel qualities; whether the target channel quality corresponds to one RS resource in the first RS resource set or corresponds to one RS resource in the second RS resource set depends on the position of the target channel quality among the K channel qualities, or, the position of the target channel quality among the K channel qualities depends on whether the target channel quality corresponds to one RS resource in the first RS resource set or corresponds to one RS resource in the second RS resource set.

[0319] As an example, the first communication device 410 includes: a memory storing a computer-readable instruction program, the computer-readable instruction program generating actions when executed by at least one processor, the actions including: receiving the first information block.

[0320] As an example, the first node in this application includes the second communication device 450.

[0321] As an example, the second node in this application includes the first communication device 410.

[0322] As an example, at least one of {the antenna 420, the receiver 418, the receiving processor 470, the multi-antenna receiving processor 472, the controller / processor 475, the memory 476} is used to receive the first information block; at least one of {the antenna 452, the transmitter 454, the transmitting processor 468, the multi-antenna transmitting processor 457, the controller / processor 459, the memory 460, the data source 467} is used to send the first information block.

[0323] As an example, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, the data source 467} is used to receive the first configuration information block; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, the memory 476} is used to transmit the first configuration information block.

[0324] Example 5

[0325] Example 5 exemplifies a flowchart of a transmission according to an embodiment of the present application; as shown in the appendix Figure 5 shown. In the appendix Figure 5 , the second node U1 and the first node U2 are communication nodes for transmission through an air interface. In the appendix Figure 5 , the steps in blocks F51 to F58 are optional respectively.

[0326] For the second node U1, the first configuration information block is transmitted in step S5101; it is transmitted on the first RS resource set in step S5102; it is transmitted on the second RS resource set in step S5103; the first information block is received in step S511.

[0327] For the first node U2, the first configuration information block is received in step S5201; it is measured on the first RS resource set in step S5202; it is measured on the second RS resource set in step S5203; the first information block is transmitted in step S521; the first model is deployed in step S5204; the inference of the first model is executed in step S5205.

[0328] In Embodiment 5, the first information block indicates K channel qualities arranged in sequence, where K is a positive integer greater than 1; any one of the K channel qualities corresponds to one RS resource in the first RS resource set or corresponds to one RS resource in the second RS resource set. The second RS resource set includes P RS resources, where P is a positive integer greater than 1, and the P RS resources are respectively associated with P first-class identifiers. The first RS resource set includes P RS resource groups, and the P RS resource groups are respectively associated with the P first-class identifiers; the target channel quality is one of the K channel qualities; whether the target channel quality corresponds to one RS resource in the first RS resource set or corresponds to one RS resource in the second RS resource set depends on the position of the target channel quality among the K channel qualities, or the position of the target channel quality among the K channel qualities depends on whether the target channel quality corresponds to one RS resource in the first RS resource set or corresponds to one RS resource in the second RS resource set.

[0329] As an embodiment, the first node U2 is the first node in this application.

[0330] As an embodiment, the second node U1 is the second node in this application.

[0331] 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.

[0332] 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.

[0333] As an embodiment, the air interface between the second node U1 and the first node U2 includes an interface between a core network device and a user equipment.

[0334] As an embodiment, the air interface between the second node U1 and the first node U2 includes an interface between an OTT (Over-The-Top) server and a user equipment.

[0335] As an embodiment, the air interface between the second node U1 and the first node U2 includes an interface between a NAS (Network Access Server) device and a user equipment.

[0336] As an embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between user equipments.

[0337] As an embodiment, the second node U1 includes a serving cell maintaining base station of the first node U2.

[0338] As an embodiment, the second node U1 includes an OTT server (Over-The-Top server).

[0339] As an embodiment, the second node U1 includes OAM (Operation Administration and Maintenance).

[0340] As an embodiment, the second node U1 includes a NAS device.

[0341] As an embodiment, the second node U1 includes a core network device.

[0342] As an embodiment, the first information block is transmitted on a PUSCH (Physical Uplink Shared Channel).

[0343] As an embodiment, the first information block is transmitted on a PUCCH (Physical Uplink Control Channel).

[0344] As an embodiment, attach Figure 5 If the steps in block F54 in [reference] exist, the method in the first node for wireless communication includes: measuring on the first RS resource set.

[0345] As an embodiment, measuring on the first RS resource set means measuring the RS transmitted on the RS resources in the first RS resource set.

[0346] As an embodiment, measuring on the first RS resource set means measuring the RS transmitted on the RS resources in the first RS resource set.

[0347] As an embodiment, measuring on the first RS resource set includes measuring the RS transmitted on each RS resource in the first RS resource set.

[0348] As an embodiment, measuring on the first RS resource set includes measuring the RS transmitted on only some of the RS resources in the first RS resource set.

[0349] As an embodiment, attach Figure 5 If the steps in block F53 in [reference] exist, the method in the second node for wireless communication includes: transmitting on the first RS resource set.

[0350] As an example, transmitting on the first RS resource set means transmitting RS on the first RS resource set.

[0351] As an example, transmitting on the first RS resource set includes transmitting RS on each RS resource in the first RS resource set.

[0352] As an example, transmitting on the first RS resource set includes transmitting RS on only some of the RS resources in the first RS resource set.

[0353] As an example, atta Figure 5 The steps in boxes F53 and F54 in

[0354] As an example, atta Figure 5 The step in box F53 does not exist, the step in F54 exists, and the sender of the first RS resource set is different from the second node U1.

[0355] As an example, atta Figure 5 The step in box F56 exists, and the method in the first node for wireless communication includes: measuring on the second RS resource set.

[0356] As an example, measuring on the second RS resource set means measuring the RS transmitted on the RS resources in the second RS resource set.

[0357] As an example, measuring on the second RS resource set means performing measurement on the RS transmitted on the RS resources in the second RS resource set.

[0358] As an example, measuring on the second RS resource set includes performing measurement on the RS transmitted on each RS resource in the second RS resource set.

[0359] As an example, measuring on the second RS resource set includes performing measurement on the RS transmitted on only some of the RS resources in the second RS resource set.

[0360] As an example, atta Figure 5 The steps in boxes F54 and F56 in

[0361] As an example, atta Figure 5 The step in box F55 exists, and the method in the second node for wireless communication includes: transmitting on the second RS resource set.

[0362] As an example, transmitting on the second RS resource set means transmitting RS on the second RS resource set.

[0363] As an example, transmitting on the second RS resource set includes transmitting RS on each RS resource in the second RS resource set.

[0364] As an example, transmitting on the second RS resource set includes transmitting RS on only some of the RS resources in the second RS resource set.

[0365] As an example, append Figure 5 The steps in boxes F55 and F56 in

[0366] As an example, append Figure 5 The steps in box F55 in

[0367] As an example, append Figure 5 The steps in boxes F53, F54, F55 and F56 in

[0368] As an example, the transmission of one RS resource in the first RS resource set is earlier than the transmission of one RS resource in the second RS resource set.

[0369] As an example, the transmission of one RS resource in the first RS resource set is later than the transmission of one RS resource in the second RS resource set.

[0370] As an example, append Figure 5 The steps in box F52 in

[0371] As an example, append Figure 5 The steps in box F51 in

[0372] As an example, the first configuration information block is transmitted on the PDSCH.

[0373] As an example, append Figure 5 The steps in boxes F51 and F52 in

[0374] As an example, append Figure 5The step in block F51 does not exist, while the step in F52 exists, and the sender of the first configuration information block is different from the second node U1.

[0375] As an embodiment, the transmission of the first configuration information block is earlier than one RS resource in the first RS resource set.

[0376] As an embodiment, the transmission of the first configuration information block is later than one RS resource in the first RS resource set.

[0377] As an embodiment, the transmission of the first configuration information block is earlier than one RS resource in the second RS resource set.

[0378] As an embodiment, the transmission of the first configuration information block is later than one RS resource in the second RS resource set.

[0379] As an embodiment, the first K1 channel qualities among the K channel qualities respectively correspond to K1 RS resources in the first RS resource set, the last K2 channel qualities among the K channel qualities respectively correspond to K2 RS resources in the second RS resource set, and the sum of K1 and K2 is equal to K.

[0380] As an embodiment, the first information block indicates at least one of K1 and K2.

[0381] As an embodiment, at least one of K1 and K2 is configured by a higher layer parameter.

[0382] As an embodiment, the first type of identifier associated with any one of the K2 RS resources is different from the first type of identifier associated with the RS resource group to which any one of the K1 RS resources belongs.

[0383] As an embodiment, the first information block indicates the K1 RS resources.

[0384] As an embodiment, the first M channel qualities among the K channel qualities respectively correspond to M RS resources in the first RS resource set, M is a positive integer greater than 1, and the M RS resources all belong to the same RS resource group among the P RS resource groups.

[0385] As an embodiment, the first information block indicates the RS resource corresponding to the maximum channel quality among the K channel qualities.

[0386] As an embodiment, the first information block does not include the identifiers of the K2 RS resources.

[0387] As an example, the K channel qualities are associated with a first identifier, and a first model is associated with the first identifier.

[0388] As an example, attached Figure 5 If the steps in block F57 in

[0389] As an example, attached Figure 5 If the steps in block F58 in

[0390] As an example, the first information block belongs to a first data set.

[0391] As an example, the first information block is transmitted on a first radio bearer, and the first radio bearer is a new radio bearer other than the radio bearers supported by 3GPP R19.

[0392] Generally, how the first node determines the K channel qualities and their corresponding RS resources is determined by the hardware device manufacturer itself. Some non-limiting implementation manners are introduced below:

[0393] As an example, the first node obtains P channel qualities respectively based on measurements on the P RS resources. P1 channel qualities are the P1 largest channel qualities among the P channel qualities, where P1 is less than P. The P1 channel qualities respectively depend on measurements on P1 of the P RS resources. The P1 RS resources are used to determine the K1 RS resources, and the first K1 channel qualities respectively depend on measurements on the K1 RS resources.

[0394] As a sub-example of the above example, the P channel qualities are respectively the RSRP of the RSs transmitted in the P RS resources.

[0395] As a sub-example of the above example, the P channel qualities are respectively the SINR of the RSs transmitted in the P RS resources.

[0396] As a sub-example of the above example, the P1 RS resource groups are a subset of the P RS resource groups. The P1 RS resource groups are respectively associated with the same first type of identifier as the P1 RS resources. Any RS resource in the K1 RS resources belongs to one of the P1 RS resource groups.

[0397] As a reference example of the above sub-example, the K1 RS resources are composed of all the RS resources in the P1 RS resource groups.

[0398] As a sub - embodiment of the above - mentioned embodiment, K1 is equal to P1 multiplied by M1, where M1 is the number of RS resources included in any one of the P RS resource groups.

[0399] As a sub - embodiment of the above - mentioned embodiment, P1 is configurable.

[0400] As a sub - embodiment of the above - mentioned embodiment, P1 depends on the configuration of higher - layer parameters.

[0401] As a sub - embodiment of the above - mentioned embodiment, the first configuration information block indicates P1.

[0402] As a sub - embodiment of the above - mentioned embodiment, P1 is determined by the first node itself.

[0403] As a sub - embodiment of the above - mentioned embodiment, P1 is reported by the first node.

[0404] As a sub - embodiment of the above - mentioned embodiment, the first information block indicates P1.

[0405] As a sub - embodiment of the above - mentioned embodiment, K2 is equal to P - P1, and the K2 RS resources are respectively the (P - P1) RS resources among the P RS resources except the P1 RS resources.

[0406] As a sub - embodiment of the above - mentioned embodiment, K2 is equal to P - P1, and the latter K2 channel qualities are respectively the (P - P1) channel qualities among the P channel qualities except the P1 channel qualities.

[0407] As an embodiment, the first RS resource set includes P2 RS resources. Any one of the P RS resource groups includes multiple RS resources among the P2 RS resources. The first node respectively obtains P2 channel qualities based on measurements on the P2 RS resources. P3 channel qualities are the P3 largest channel qualities among the P2 channel qualities, where P3 is less than P2. The P3 channel qualities respectively depend on measurements on P3 RS resources among the P2 RS resources, and the P3 RS resources are used to determine the K1 RS resources. The first K1 channel qualities respectively depend on measurements on the K1 RS resources.

[0408] As a sub - embodiment of the above - mentioned embodiment, the K1 RS resources include all RS resources in the RS resource group to which each of the P3 RS resources belongs.

[0409] As a sub - embodiment of the above - mentioned embodiment, K1 is equal to P3, and the K1 RS resources are the P3 RS resources.

[0410] As a sub - embodiment of the above - mentioned embodiment, P3 is configurable.

[0411] As a sub - embodiment of the above - mentioned embodiment, P3 depends on the configuration of higher - layer parameters.

[0412] As a sub - embodiment of the above - mentioned embodiment, the first configuration information block indicates P3.

[0413] As a sub - embodiment of the above - mentioned embodiment, P3 is determined by the first node itself.

[0414] As a sub - embodiment of the above - mentioned embodiment, P3 is reported by the first node.

[0415] As a sub - embodiment of the above - mentioned embodiment, the first information block indicates P3.

[0416] As a sub - embodiment of the above - mentioned embodiment, the K2 RS resources are a subset of the second RS resource set, and the first - type identifier associated with any one of the K2 RS resources is different from the first - type identifier associated with the RS resource group to which any one of the P3 RS resources belongs.

[0417] As a sub - embodiment of the above - mentioned embodiment, the K2 RS resources are composed of RS resources in the second RS resource set each of which is associated with a first - type identifier different from the first - type identifier associated with the RS resource group to which any one of the P3 RS resources belongs.

[0418] As a sub - embodiment of the above - mentioned embodiment, the latter K2 channel qualities respectively depend on the measurements on the K2 RS resources.

[0419] As a sub - embodiment of the above - mentioned embodiment, the latter K2 channel qualities respectively depend on the measurements on K2 RS resource groups, the K2 RS resource groups are a subset of the P RS resource groups, and the K2 RS resource groups are obtained by excluding the RS resource groups to which each of the P3 RS resources belongs from the P RS resource groups.

[0420] As a reference embodiment of the above - mentioned sub - embodiment, any one of the latter K2 channel qualities is the average of the channel qualities obtained on all RS resources in the corresponding RS resource group.

[0421] Example 6

[0422] Example 6 illustrates a schematic diagram of a first information block according to an embodiment of the present application; as shown in the appendix Figure 6 As shown. In Example 6, the first information block includes the K channel qualities arranged in sequence. In the appendix Figure 6 the K channel qualities are respectively represented as Channel Quality #0,..., Channel Quality #(K - 1).

[0423] As an embodiment, the first information block sequentially indicates the K channel qualities.

[0424] As an embodiment, the first information block sequentially includes the K channel qualities.

[0425] As an embodiment, the K channel qualities are arranged in sequence in the first information block.

[0426] Example 7

[0427] Example 7 illustrates a schematic diagram of P RS resources and P RS resource groups according to an embodiment of the present application; as shown in the appendix Figure 7 As shown. In Example 7, the second set of RS resources includes P RS resources, the P RS resources are respectively associated with P first - type identifiers, the first set of RS resources includes P RS resource groups, and the P RS resource groups are respectively associated with the P first - type identifiers. In the appendix Figure 7 the P RS resources are respectively represented as RS Resource #0,..., RS Resource #(P - 1); the P RS resource groups are respectively represented as RS Resource Group #0,..., RS Resource Group #(P - 1); the P first - type identifiers are respectively represented as First - type Identifier #0,..., First - type Identifier #(P - 1).

[0428] As an embodiment, an RS resource being associated with a first - type identifier includes that the RS resource is identified by the first - type identifier.

[0429] As an embodiment, an RS resource being associated with a first - type identifier includes that the identifier of the RS resource is the first - type identifier.

[0430] As an embodiment, an RS resource being associated with a first - type identifier includes that the NZP - CSI - RS - ResourceId or SSB - Index of the RS resource is the first - type identifier, and the RS resource is a CSI - RS resource or an SS / PBCH block resource.

[0431] As an example, an RS resource is associated with a first type of identifier, where the CRI or SSBRI of the RS resource is the first type of identifier, and the RS resource is a CSI-RS resource or an SS / PBCH block resource.

[0432] As an example, an RS resource is associated with a first type of identifier, where the RS resource is quasi-co-located with the RS resource identified by the first type of identifier.

[0433] As an example, an RS resource is associated with a first type of identifier, where the RS resource is quasi-co-located with the RS resource identified by the first type of identifier and the corresponding quasi-co-location type includes TypeD.

[0434] As an example, an RS resource is associated with a first type of identifier, where the RS resource is quasi-co-located with another RS resource, and the other RS resource is quasi-co-located with the RS resource identified by the first type of identifier.

[0435] As an example, an RS resource is associated with a first type of identifier, where the TCI state of the RS resource is the TCI state identified by the first type of identifier.

[0436] As an example, an RS resource is associated with a first type of identifier, where the TCI state of the RS resource is the j-th indicated TCI state, and j is equal to the first type of identifier.

[0437] As an example, an RS resource is associated with a first type of identifier, where the TCI state of the RS resource is the TCI state applied to the CORESET pool index value j, and j is equal to the first type of identifier.

[0438] As an example, an RS resource is associated with a first type of identifier, where the first information block indicates the RS resource by indicating the first type of identifier.

[0439] As an example, an RS resource group is associated with a first type of identifier, where each RS resource in the RS resource group is quasi-co-located with the RS resource identified by the first type of identifier.

[0440] As an example, an RS resource group is associated with a first type of identifier, where each RS resource in the RS resource group is quasi-co-located with the RS resource identified by the first type of identifier and the corresponding quasi-co-location type includes TypeD.

[0441] As an example, an RS resource group associated with a first type of identifier includes that each RS resource in the RS resource group is quasi co-located with the same RS resource, and the RS resources identified by the first type of identifier are also quasi co-located with the same RS resource.

[0442] As an example, an RS resource group associated with a first type of identifier includes that the TCI state of each RS resource in the RS resource group is the TCI state identified by the first type of identifier.

[0443] As an example, an RS resource group associated with a first type of identifier includes that the TCI state of each RS resource in the RS resource group is the j-th indicated TCI state, where j is equal to the first type of identifier.

[0444] As an example, an RS resource group associated with a first type of identifier includes that the TCI state of each RS resource in the RS resource group is the TCI state applied to the CORESET pool index value j, where j is equal to the first type of identifier.

[0445] As an example, an RS resource group associated with a first type of identifier includes that each RS resource in the RS resource group has the same TCI state as the RS resources identified by the first type of identifier.

[0446] As an example, an RS resource group associated with a first type of identifier includes that the first information block indicates the RS resource group by indicating the first type of identifier.

[0447] As an example, an RS resource group associated with a first type of identifier includes that the beam of any RS resource in the RS resource group is covered by the beam of the RS resources identified by the first type of identifier.

[0448] As an example, an RS resource group associated with a first type of identifier includes that the coverage range of the beam of the RS resources identified by the first type of identifier includes the coverage range of the beam of any RS resource in the RS resource group.

[0449] As an example, an RS resource group associated with a first type of identifier includes that whether the first information block includes the channel quality corresponding to the (one or more) RS resources in the RS resource group depends on the measurement on the RS resources identified by the first type of identifier.

[0450] As an example, an RS resource group is associated with a first type of identifier, and each RS resource in the RS resource group is associated with the first type of identifier.

[0451] As an example, an RS resource is associated with a first type of identifier, which means that the RS resource is identified by the first type of identifier; an RS resource group is associated with a first type of identifier, which means that each RS resource in the RS resource group is quasi-co-located with the RS resource identified by the first type of identifier.

[0452] As an example, an RS resource is associated with a first type of identifier, which means that the RS resource is quasi-co-located with the RS resource identified by the first type of identifier; an RS resource group is associated with a first type of identifier, which means that each RS resource in the RS resource group is quasi-co-located with the RS resource identified by the first type of identifier.

[0453] As an example, an RS resource is associated with a first type of identifier, which means that the TCI state of the RS resource is identified by the first type of identifier; an RS resource group is associated with a first type of identifier, which means that the TCI state of each RS resource in the RS resource group is identified by the first type of identifier.

[0454] As an example, an RS resource is associated with a first type of identifier, which means that the RS resource is identified by the first type of identifier; an RS resource group is associated with a first type of identifier, which means that the beam of each RS resource in the RS resource group is within the beam coverage range of the RS resources in the P RS resources that are associated with the same first type of identifier as the RS resource group.

[0455] As an example, an RS resource is associated with a first type of identifier, which means that the RS resource is identified by the first type of identifier; an RS resource group is associated with a first type of identifier, which means that whether the first information block includes the channel quality corresponding to the (one or more) RS resources in the RS resource group depends on the measurement on the RS resource identified by the first type of identifier.

[0456] In Example 7, the RS resource is any one of the P RS resources, and the RS resource group is any one of the P RS resource groups.

[0457] Example 8

[0458] Example 8 illustrates a schematic diagram of P RS resources and P RS resource groups according to an embodiment of the present application; as shown in the appendixFigure 8 As shown. In Embodiment 8, the P RS resources and the P RS resource groups correspond one by one, and any one of the P RS resources and the corresponding RS resource group are associated with the same first type of identifier among the P first type of identifiers; in the appendix Figure 8 (a), each RS resource in any one of the P RS resource groups and the corresponding RS resource are quasi co-located; in the appendix Figure 8 (b), each RS resource in any one of the P RS resource groups and the corresponding RS resource are both quasi co-located with the same RS resource.

[0459] In the appendix Figure 8 , P is equal to 4, the P RS resources are respectively represented as RS resource #0, …, RS resource #3; the P RS resource groups are respectively represented as RS resource group #0, …, RS resource group #3. Although the appendix Figure 8 takes P = 4 as an example, the embodiments in Embodiment 8 are also applicable to the case where P is other values.

[0460] The essence of the above method includes that the first RS resource set and the second RS resource set respectively correspond to different beam granularities; the above method uses different granularities for different channel quality intervals to perform beam reporting (such as but not limited to the reporting of CRI, SSBRI, RSRP, and SINR), which reduces the reporting overhead while improving the reporting quality.

[0461] As an embodiment, the P RS resources are respectively identified by the P first type of identifiers, and each RS resource in any one of the P RS resource groups and the corresponding RS resource are quasi co-located.

[0462] As an embodiment, each RS resource in any one of the P RS resource groups and the RS resource corresponding to the any one RS resource group are both quasi co-located with the RS resource identified by the associated first type of identifier.

[0463] As an embodiment, the TCI state of each RS resource in any one of the P RS resource groups and the TCI state of the RS resource corresponding to the any one RS resource group are both the TCI state identified by the associated first type of identifier.

[0464] As an embodiment, the P RS resources are respectively identified by the P first type of identifiers. For any one of the P RS resource groups, whether the first information block includes the channel quality corresponding to the (one or more) RS resources in the any one RS resource group depends on the measurement on the RS resource corresponding to the any one RS resource group.

[0465] Example 9

[0466] Embodiment 9 exemplifies a schematic diagram of P RS resources and P RS resource groups according to an embodiment of the present application; as shown in the appendix Figure 9 As shown. In Embodiment 9, the P RS resources and the P RS resource groups correspond one by one, and any one of the P RS resources and the corresponding RS resource group are associated with the same first type of identifier among the P first type of identifiers; for any one of the P RS resources, the coverage range of the beam of the any one of the RS resources includes the coverage range of the beams of each RS resource in the RS resource group corresponding to the any one of the RS resources.

[0467] In the appendix Figure 9 it is shown that P is equal to 4, and the P RS resources are respectively represented as RS resource #0,..., RS resource #3; the P RS resource groups are respectively represented as RS resource group #0,..., RS resource group #3. Although the appendix Figure 9 takes P = 4 as an example, the embodiment in Embodiment 9 is also applicable to the case where P is other values.

[0468] The essence of the above method includes that the first RS resource set and the second RS resource set respectively correspond to different beam granularities; the above method uses different granularities for different channel quality intervals to perform beam reporting (such as but not limited to reporting of CRI, SSBRI, RSRP, and SINR), which reduces the reporting overhead while improving the reporting quality.

[0469] As an embodiment, the P RS resources are respectively identified by the P first type of identifiers, and the beam of any one of the P RS resources covers the beams of all RS resources in the RS resource group corresponding to the any one of the RS resources.

[0470] As an embodiment, the P RS resources are respectively quasi - co - located with the RS resources identified by the P first type of identifiers, and the beam of any one of the P RS resources covers the beams of all RS resources in the RS resource group corresponding to the any one of the RS resources.

[0471] As an embodiment, the TCI states of the P RS resources are respectively the TCI states identified by the P first type of identifiers, and the beam of any one of the P RS resources covers the beams of all RS resources in the RS resource group corresponding to the any one of the RS resources.

[0472] Example 10

[0473] Embodiment 10 exemplifies a schematic diagram of the first K1 channel qualities and the last K2 channel qualities according to an embodiment of the present application; as shown in the appendixFigure 10 As shown. In Embodiment 10, the first K1 channel qualities among the K channel qualities respectively correspond to K1 RS resources in the first RS resource set, and the last K2 channel qualities among the K channel qualities respectively correspond to K2 RS resources in the second RS resource set, where K2 is equal to K minus K1. In the appendix Figure 10 the K channel qualities are respectively represented as channel quality #0, …, channel quality #(K−1); the first K1 channel qualities are channel quality #0, …, channel quality #(K1−1); and the last K2 channel qualities are channel quality #K1, …, channel quality #(K−1).

[0474] As an embodiment, whether the target channel quality corresponds to one RS resource in the first RS resource set or one RS resource in the second RS resource set depends on whether the target channel quality is one of the first K1 channel qualities or one of the last K2 channel qualities.

[0475] As an embodiment, the target receiver of the first information block determines whether the target channel quality corresponds to one RS resource in the first RS resource set or one RS resource in the second RS resource set according to whether the target channel quality is one of the first K1 channel qualities or one of the last K2 channel qualities.

[0476] As an embodiment, if the target channel quality is one of the first K1 channel qualities, the target channel quality corresponds to one RS resource in the first RS resource set; if the target channel quality is one of the last K2 channel qualities, the target channel quality corresponds to one RS resource in the second RS resource set.

[0477] As an embodiment, whether the target channel quality is among the first K1 channel qualities or among the last K2 channel qualities in the K channel qualities depends on whether the target channel quality corresponds to one RS resource in the first RS resource set or one RS resource in the second RS resource set.

[0478] As an embodiment, the first node determines whether the target channel quality is among the first K1 channel qualities or among the last K2 channel qualities in the K channel qualities according to whether the target channel quality corresponds to one RS resource in the first RS resource set or one RS resource in the second RS resource set.

[0479] As an embodiment, if the target channel quality corresponds to an RS resource in the first RS resource set, the target channel quality is among the top K1 channel qualities in the K channel qualities; if the target channel quality corresponds to an RS resource in the second RS resource set, the target channel quality is among the last K2 channel qualities in the K channel qualities.

[0480] As an embodiment, the top K1 channel qualities respectively depend on measurements on the K1 RS resources.

[0481] As an embodiment, the first node respectively obtains channel measurements for generating the top K1 channel qualities based on the K1 RS resources.

[0482] As an embodiment, the last K2 channel qualities respectively depend on measurements on the K2 RS resources.

[0483] As an embodiment, the first node respectively obtains channel measurements for generating the last K2 channel qualities based on the K2 RS resources.

[0484] As an embodiment, the last K2 channel qualities respectively depend on measurements on K2 RS resource groups, and the K2 RS resource groups are respectively the RS resource groups in the P RS resource groups that are associated with the K2 RS resources and have the same first type of identifier.

[0485] As a sub - embodiment of the above embodiment, any one of the last K2 channel qualities is the average of the channel qualities obtained on all RS resources in the corresponding RS resource group.

[0486] As an embodiment, one of the top K1 channel qualities is greater than the maximum channel quality among the K channel qualities.

[0487] As a sub - embodiment of the above embodiment, the one channel quality is the first channel quality among the K channel qualities.

[0488] As a sub - embodiment of the above embodiment, the one channel quality is among the top M1 channel qualities in the K channel qualities, where M1 is the number of RS resources included in any one of the P RS resource groups.

[0489] As a reference embodiment of the above sub - embodiment, the first information block indicates the position of the one channel quality among the top M1 channel qualities.

[0490] As a sub - embodiment of the above - mentioned embodiment, the first information block indicates the position of the one channel quality among the K channel qualities.

[0491] As an embodiment, one of the first K1 channel qualities is RSRP or SINR, and any other channel quality among the K channel qualities is differential RSRP or differential SINR.

[0492] As a sub - embodiment of the above - mentioned embodiment, the one channel quality is the first channel quality among the K channel qualities.

[0493] As a sub - embodiment of the above - mentioned embodiment, the one channel quality is located among the first M1 channel qualities of the K channel qualities, where M1 is the number of RS resources included in any one of the P RS resource groups.

[0494] As a reference embodiment of the above - mentioned sub - embodiment, the first information block indicates the position of the one channel quality among the first M1 channel qualities.

[0495] As a sub - embodiment of the above - mentioned embodiment, the first information block indicates the position of the one channel quality among the K channel qualities.

[0496] As an embodiment, K1 is equal to 1.

[0497] As an embodiment, K1 is greater than 1.

[0498] As an embodiment, the number of RS resources included in any one of the P RS resource groups is equal to M1, and K1 is equal to M1.

[0499] As an embodiment, the number of RS resources included in any one of the P RS resource groups is equal to M1, and K1 is a positive - integer multiple of M1.

[0500] As an embodiment, the number of RS resources included in any one of the P RS resource groups is equal to M1, and K1 is equal to the product of M1 and a first coefficient, where the first coefficient is a positive integer.

[0501] As an embodiment, the first coefficient is configurable.

[0502] As an embodiment, the first coefficient depends on the configuration of higher - layer parameters.

[0503] As an embodiment, the first coefficient is configured for the first node.

[0504] As an example, the first configuration information block indicates the first coefficient.

[0505] As an example, the first coefficient depends on the UE capabilities of the first node.

[0506] As an example, the first coefficient is reported by the first node.

[0507] As an example, the first node determines and reports the first coefficient by itself.

[0508] As an example, the first coefficient is fixed.

[0509] As an example, K2 is less than P.

[0510] As an example, among the K1 RS resources, there are multiple RS resources belonging to the same RS resource group among the P RS resource groups.

[0511] As an example, all the K1 RS resources belong to the same RS resource group among the P RS resource groups.

[0512] As an example, among the K1 RS resources, there are two RS resources belonging to different RS resource groups among the P RS resource groups respectively.

[0513] As an example, the K1 RS resources belong to K1 different RS resource groups among the P RS resource groups respectively.

[0514] As an example, the K2 RS resources are respectively associated with K2 different first-class identifiers among the P first-class identifiers.

[0515] As an example, for any RS resource among the K1 RS resources, the first-class identifier associated with the RS resource group to which it belongs is different from the first-class identifier associated with any RS resource among the K2 RS resources.

[0516] As an example, among the K1 RS resources, there is one RS resource whose belonging RS resource group and one RS resource among the K2 RS resources are associated with the same first-class identifier among the P first-class identifiers.

[0517] As an example, the first information block indicates the K1 RS resources.

[0518] As an example, the first information block explicitly indicates the K1 RS resources.

[0519] As an example, the first information block implicitly indicates the K1 RS resources.

[0520] As an example, the first information block indicates the K1 RS resources by indicating other information.

[0521] As an example, the first information block indicates the identifier of each RS resource among the K1 RS resources.

[0522] As an example, the first information block indicates the NZP-CSI-RS-ResourceId or SSB-Index of each RS resource among the K1 RS resources.

[0523] As an example, the first information block indicates the CRI or SSBRI of each RS resource among the K1 RS resources.

[0524] As an example, the first information block indicates the first type of identifier associated with the RS resource group to which each RS resource among the K1 RS resources belongs.

[0525] As an example, the first information block indicates the K1 RS resources by indicating the first type of identifier associated with the RS resource group to which each RS resource among the K1 RS resources belongs.

[0526] As an example, the first information block indicates the K2 RS resources.

[0527] As an example, the first information block explicitly indicates the K2 RS resources.

[0528] As an example, the first information block implicitly indicates the K2 RS resources.

[0529] As an example, the first information block indicates the K2 RS resources by indicating other information.

[0530] As an example, the first information block indicates the identifier of each RS resource among the K2 RS resources.

[0531] As an example, the first information block indicates the NZP-CSI-RS-ResourceId or SSB-Index of each RS resource among the K2 RS resources.

[0532] As an example, the first information block indicates the CRI or SSBRI of each RS resource among the K2 RS resources.

[0533] As an example, the first information block indicates the first type of identifier associated with each RS resource among the K2 RS resources.

[0534] As an embodiment, the first information block indicates the K2 RS resources by indicating the first type of identifier associated with each of the K2 RS resources.

[0535] As an embodiment, the first information block indicates the K2 RS resources by indicating the K1 RS resources.

[0536] Example 11

[0537] Embodiment 11 exemplifies a schematic diagram of K1 RS resources and K2 RS resources according to an embodiment of the present application; as shown in the appendix Figure 11 As shown. In Embodiment 11, any one of the K1 RS resources belongs to one of the P1 RS resource groups, where the P1 RS resource groups are a subset of the P RS resource groups, the P1 RS resource groups are respectively associated with P1 of the P first type of identifiers, and the K2 RS resources are respectively associated with K2 of the P first type of identifiers. In the appendix Figure 11 the P1 RS resource groups are respectively represented as RS resource group #0,..., RS resource group #(P1 - 1).

[0538] As an embodiment, at least one RS resource in any one of the P1 RS resource groups belongs to the K1 RS resources.

[0539] As an embodiment, there is no RS resource in the K1 RS resources that belongs to two of the P1 RS resource groups at the same time.

[0540] As an embodiment, the P1 is equal to 1.

[0541] As an embodiment, the P1 is greater than 1.

[0542] As an embodiment, the P1 is less than the K1, and multiple RS resources in the K1 RS resources belong to the same RS resource group.

[0543] As an embodiment, the P1 is equal to the K1, and any two RS resources in the K1 RS resources belong to different RS resource groups.

[0544] As an embodiment, the sum of the P1 and the K2 is not greater than the P.

[0545] As an embodiment, the K1 RS resources include all the RS resources in the P1 RS resource groups.

[0546] As an embodiment, the K1 RS resources are composed of all the RS resources in the P1 RS resource groups.

[0547] As an embodiment, K1 is equal to P1 multiplied by M1, where M1 is the number of RS resources included in any one of the P RS resource groups.

[0548] As an embodiment, any one of the P1 first - type identifiers is different from any one of the K2 first - type identifiers.

[0549] As an embodiment, the first information block indicates the K1 RS resources by indicating the CRI or SSBRI of each of the K1 RS resources.

[0550] As an embodiment, the first information block indicates the K1 RS resources by indicating the P1 RS resource groups.

[0551] As a sub - embodiment of the above - mentioned embodiment, the K1 RS resources are composed of all the RS resources in the P1 RS resource groups.

[0552] As an embodiment, the first information block indicates the K1 RS resources by indicating the P1 first - type identifiers.

[0553] As a sub - embodiment of the above - mentioned embodiment, the K1 RS resources are composed of all the RS resources in the P1 RS resource groups.

[0554] As an embodiment, the first information block indicates the K1 RS resources by indicating the identifiers of each of the P1 RS resources in the second RS resource set, and the P1 RS resources are respectively associated with the same first - type identifier as the P1 RS resource groups.

[0555] As a sub - embodiment of the above - mentioned embodiment, the K1 RS resources are composed of all the RS resources in the P1 RS resource groups.

[0556] As an embodiment, the first information block indicates the K2 RS resources by indicating the CRI or SSBRI of each of the K2 RS resources.

[0557] As an embodiment, the first information block indicates the K2 RS resources by indicating the K1 RS resources.

[0558] As an embodiment, the K2 RS resources are the (P - P1) RS resources in the second resource set other than the P1 RS resources, where K2 is equal to P - P1, and the P1 RS resources are the RS resources in the second resource set that are respectively associated with the same first type of identifier as the P1 RS resource groups.

[0559] Example 12

[0560] Embodiment 12 exemplifies a schematic diagram in which a first information block indicates at least one of both K1 and K2 according to an embodiment of the present application; as shown in the appendix Figure 12 shown. In appendix Figure 12 (a), the first information block indicates the K1; in appendix Figure 12 (b), the first information block indicates the K2; in appendix Figure 12 (c), the first information block indicates the K1 and the K2.

[0561] As an embodiment, the first information block indicates only the K1 among the K1 and the K2.

[0562] As an embodiment, the first information block indicates only the K2 among the K1 and the K2.

[0563] As an embodiment, the first information block indicates the K and the K1.

[0564] As an embodiment, the first information block indicates the K and the K2.

[0565] As an embodiment, the first configuration information block indicates the K, and the first information block indicates the K1.

[0566] As an embodiment, the first configuration information block indicates the K, and the first information block indicates the K2.

[0567] As an embodiment, the K2 does not need to be explicitly indicated.

[0568] As an embodiment, K2 is equal to K minus K1.

[0569] As an embodiment, the K1 does not need to be explicitly indicated.

[0570] As an embodiment, K1 is equal to K minus K2.

[0571] Example 13

[0572] Embodiment 13 exemplifies a schematic diagram in which at least one of K1 and K2 is configured by a higher layer parameter according to an embodiment of the present application; as shown in the appendix Figure 13 shown. In the appendix Figure 13 (a), the K1 is configured by a higher layer parameter; in the appendix Figure 13 (b), the K2 is configured by a higher layer parameter; in the appendix Figure 13 (c), both the K1 and the K2 are configured by higher layer parameters.

[0573] As an embodiment, the K1 is configured by a higher layer parameter.

[0574] As an embodiment, the K2 is configured by a higher layer parameter.

[0575] As an embodiment, both the K1 and the K2 are configured by higher layer parameters.

[0576] As an embodiment, the K1 is configured by a higher layer parameter and the K2 does not require explicit configuration.

[0577] As an embodiment, the K2 is configured by a higher layer parameter and the K1 does not require explicit configuration.

[0578] As an embodiment, the K and the K1 are configured by higher layer parameters and the K2 does not require explicit configuration.

[0579] As a sub - embodiment of the above - mentioned embodiment, the K2 is equal to the K minus the K1.

[0580] As an embodiment, the K and the K2 are configured by higher layer parameters and the K1 does not require explicit configuration.

[0581] As a sub - embodiment of the above - mentioned embodiment, the K1 is equal to the K minus the K2.

[0582] As an embodiment, the K1 is configured by the first configuration information block.

[0583] As an embodiment, the K2 is configured by the first configuration information block.

[0584] As an embodiment, both the K1 and the K2 are configured by the first configuration information block.

[0585] As an embodiment, only the K1 among the K1 and the K2 is configured by the first configuration information block.

[0586] As an embodiment, only the K2 among the K1 and the K2 is configured by the first configuration information block.

[0587] As an embodiment, the K and the K1 are configured by the first configuration information block.

[0588] As an embodiment, the K and the K2 are configured by the first configuration information block.

[0589] As an embodiment, the higher layer parameters include RRC signaling or RRC IE.

[0590] As an embodiment, the higher layer parameters include MAC CE.

[0591] As an embodiment, one of the K1 and the K2 is indicated by the first information block, and the other is configured by the higher layer parameters.

[0592] Example 14

[0593] Embodiment 14 exemplifies a schematic diagram of the first information block indicating K1 RS resources according to an embodiment of the present application; as shown in the appendix Figure 14 as shown.

[0594] As an embodiment, the first information block respectively indicates the K1 RS resources.

[0595] As an embodiment, the first information block indicates the K1 RS resources by indicating the identifier of each RS resource among the K1 RS resources.

[0596] As an embodiment, the identifier of any RS resource among the K1 RS resources is CRI or SSBRI.

[0597] As an embodiment, the identifier of any RS resource among the K1 RS resources is NZP-CSI-RS-ResourceId or SSB-Index.

[0598] As an embodiment, the K1 RS resources all belong to the first RS resource set, and the first information block indicates the K1 RS resources from the first RS resource set.

[0599] As an embodiment, the P1 RS resource groups are a subset of the P RS resource groups, any RS resource among the K1 RS resources belongs to one of the P1 RS resource groups, and the first information block indicates the P1 RS resource groups.

[0600] As a sub-embodiment of the above embodiment, at least one RS resource in any one of the P1 RS resource groups belongs to the K1 RS resources.

[0601] As a sub - embodiment of the above - mentioned embodiment, the first information block indicates the K1 RS resources by indicating the P1 RS resource groups.

[0602] As a reference embodiment of the above - mentioned sub - embodiment, the K1 RS resources include all RS resources in the P1 RS resource groups.

[0603] As a sub - embodiment of the above - mentioned embodiment, the first information block indicates the K1 RS resources by indicating the first - type identifier associated with the P1 RS resource groups.

[0604] As a reference embodiment of the above - mentioned sub - embodiment, the K1 RS resources include all RS resources in the P1 RS resource groups.

[0605] As a sub - embodiment of the above - mentioned embodiment, the K1 RS resources include only some RS resources in each of the P1 RS resource groups. The first information block indicates the P1 RS resource groups and indicates the (one or more) RS resources in each of the P1 RS resource groups that belong to the K1 RS resources.

[0606] As a sub - embodiment of the above - mentioned embodiment, the RS resource corresponding to the maximum channel quality is one of the K1 RS resources. The first information block indicates the RS resource corresponding to the maximum channel quality from the P1 RS resource groups.

[0607] As an embodiment, for any one of the P RS resource groups, the first information block indicates each RS resource in the any one of the RS resource groups by indicating the first - type identifier associated with the any one of the RS resource groups.

[0608] As an embodiment, the first information block indicates the K2 RS resources.

[0609] As an embodiment, the first information block indicates the K2 RS resources respectively.

[0610] As an embodiment, the first information block indicates the K2 RS resources by indicating the identifier of each RS resource in the K2 RS resources.

[0611] As an embodiment, the identifier of any one of the K2 RS resources is CRI or SSBRI.

[0612] As an embodiment, the identifier of any one of the K2 RS resources is NZP - CSI - RS - ResourceId or SSB - Index.

[0613] As an embodiment, the first information block indicates the K2 RS resources by indicating the first type of identifier associated with each of the K2 RS resources.

[0614] As an embodiment, the first information block indicates the K1 RS resources and the K2 RS resources.

[0615] As an embodiment, the first information block includes the identifier of each of the K1 RS resources and the identifier of each of the K2 RS resources.

[0616] The advantages of the above method include more flexible signaling design and better forward compatibility.

[0617] As an embodiment, all of the K2 RS resources belong to the second RS resource set, and the first information block indicates the K2 RS resources from the second RS resource set.

[0618] As an embodiment, for any one of the P RS resources, the first information block indicates the any one of the RS resources by indicating the first type of identifier associated with the any one of the RS resources.

[0619] Example 15

[0620] Embodiment 15 exemplifies a schematic diagram of RS resources corresponding to the first M channel qualities among K channel qualities according to an embodiment of the present application; as shown in the appendix Figure 15 As shown. In Embodiment 15, the first M channel qualities among the K channel qualities respectively correspond to M RS resources in the first RS resource set, and all of the M RS resources belong to the same RS resource group among the P RS resource groups.

[0621] In the appendix Figure 15 the K channel qualities are respectively represented as channel quality #0,..., channel quality #(K - 1); the first M channel qualities are channel quality #0,..., channel quality #(M - 1); and the M RS resources are respectively represented as RS resource #0,..., RS resource #(M - 1).

[0622] As an embodiment, M is less than K.

[0623] As an embodiment, M is equal to K1.

[0624] As an embodiment, M is less than K1.

[0625] As an embodiment, K1 is a positive integer multiple of M.

[0626] As an embodiment, M is equal to the number of RS resources included in any one of the P RS resource groups.

[0627] As an embodiment, M is less than the number of RS resources included in any one of the P RS resource groups.

[0628] As a preferred embodiment, M is the number of RS resources included in any one of the P RS resource groups.

[0629] As an embodiment, M is configurable.

[0630] As an embodiment, M depends on the configuration of higher layer parameters.

[0631] As an embodiment, the first configuration information block indicates M.

[0632] As an embodiment, M does not require explicit configuration.

[0633] As an embodiment, M is determined by the configuration of the P RS resource groups.

[0634] As an embodiment, the first configuration information block indicates M by configuring the P RS resource groups.

[0635] As an embodiment, M is explicitly configured.

[0636] As an embodiment, the first configuration information block respectively indicates the number of RS resources included in each of the P RS resource groups and M.

[0637] As an embodiment, the number of RS resources included in the first RS resource set is P2, P2 is a positive integer multiple of P, and M is equal to P2 divided by P.

[0638] As an embodiment, the number of RS resources included in the first RS resource set is P2, P2 is a positive integer multiple of P, and M is equal to P2 divided by P and then multiplied by a second coefficient, and the second coefficient is a positive real number not greater than 1.

[0639] As an embodiment, the second coefficient is configurable.

[0640] As an embodiment, the second coefficient depends on the configuration of higher layer parameters.

[0641] As an embodiment, the second coefficient is configured for the first node.

[0642] As an example, the first configuration information block indicates the second coefficient.

[0643] As an example, the second coefficient depends on the UE capabilities of the first node.

[0644] As an example, the second coefficient is reported by the first node.

[0645] Example 16

[0646] Example 16 illustrates a schematic diagram of a first configuration information block according to an embodiment of the present application; as shown in the appendix Figure 16 as follows.

[0647] As a preferred embodiment, the first information block is a report for the first configuration information block.

[0648] As an example, the first configuration information block is carried by higher layer signaling.

[0649] As an example, the first configuration information block is carried by RRC signaling.

[0650] As an example, the first configuration information block is carried by one or more RRC IEs (Information Elements).

[0651] As an example, the first configuration information block includes some or all of the information in one or more RRC IEs.

[0652] As an example, the first configuration information block includes some or all of the information in the CSI-ReportConfig IE.

[0653] As an example, the first configuration information block includes some or all of the information in the CSI-MeasConfig IE.

[0654] As an example, the first configuration information block includes some or all of the information in the ServingCellConfig IE.

[0655] As an example, the first configuration information block includes some or all of the information in the CellGroupConfig IE.

[0656] As an example, the first configuration information block includes some or all of the information in the CSI-ResourceConfig IE.

[0657] As an embodiment, the first configuration information block includes some or all of the information in the CSI-SSB-ResourceSet IE.

[0658] As an embodiment, the first configuration information block includes some or all of the information in the NZP-CSI-RS-ResourceSet IE.

[0659] As an embodiment, the first configuration information block indicates the first RS resource set.

[0660] As an embodiment, the first configuration information block indicates the identifier of the first RS resource set.

[0661] As an embodiment, the identifier of the first RS resource set is one of CSI-ResourceConfigId, NZP-CSI-RS-ResourceSetId, or CSI-SSB-ResourceSetId.

[0662] As an embodiment, the first configuration information block indicates that the first RS resource set is used for channel measurement.

[0663] As an embodiment, the first configuration information block indicates each RS resource in the first RS resource set.

[0664] As an embodiment, the first configuration information block indicates the identifier of each RS resource in the first RS resource set.

[0665] As an embodiment, the first configuration information block indicates the second RS resource set.

[0666] As an embodiment, the first configuration information block indicates the identifier of the second RS resource set.

[0667] As an embodiment, the identifier of the second RS resource set is one of CSI-ResourceConfigId, NZP-CSI-RS-ResourceSetId, or CSI-SSB-ResourceSetId.

[0668] As an embodiment, the first configuration information block indicates that the second RS resource set is used for channel measurement.

[0669] As an embodiment, the first configuration information block indicates each RS resource in the second RS resource set.

[0670] As an embodiment, the first configuration information block indicates the identifier of each RS resource in the second RS resource set.

[0671] As an embodiment, the configuration information of the first information block includes the reporting amount of the first information block.

[0672] As an embodiment, the reporting amount of the first information block is one of cri-RSRP, cri-SINR, ssb-Index-RSRP, or ssb-Index-SINR.

[0673] As an embodiment, the configuration information of the first information block includes the types of the K channel qualities.

[0674] As an embodiment, the types of the K channel qualities are RSRP or SINR.

[0675] As an embodiment, the types of the K channel qualities are one of L1-RSRP, L3-RSRP, L1-SINR, or L3-SINR.

[0676] As an embodiment, the types of the K channel qualities are one of RSRP, SINR, RSRQ, or CQI.

[0677] As an embodiment, the configuration information of the first information block includes whether the first information block indicates the identifier of the RS resource.

[0678] As an embodiment, the configuration information of the first information block includes the K.

[0679] As an embodiment, the configuration information of the first information block includes at least one of both the K1 and the K2.

[0680] As an embodiment, the configuration information of the first information block includes the physical layer channel carrying the first information block.

[0681] As a sub - embodiment of the above - mentioned embodiment, the physical layer channel carrying the first information block is PUSCH or PUCCH.

[0682] As an embodiment, the configuration information of the first information block includes the time - domain behavior, and the time - domain behavior includes periodic, semi - persistent, and aperiodic.

[0683] As an embodiment, the configuration information of the first information block includes at least one of both the period and the slot offset.

[0684] As an embodiment, the configuration information of the first information block includes the frequency - domain resources.

[0685] As an embodiment, the first configuration information block indicates the first RS resource set and the second RS resource set.

[0686] As an embodiment, the first configuration information block indicates the first RS resource set and the configuration information of the first information block.

[0687] As an embodiment, the first configuration information block indicates the second RS resource set and the configuration information of the first information block.

[0688] As an embodiment, the first configuration information block indicates the first RS resource set, the second RS resource set, and the configuration information of the first information block.

[0689] As an embodiment, the first configuration information block indicates the P RS resource groups.

[0690] As an embodiment, the first configuration information block indicates which RS resources in the first RS resource set are included in any one of the P RS resource groups.

[0691] As an embodiment, the first configuration information block explicitly indicates which RS resources in the first RS resource set are included in any one of the P RS resource groups.

[0692] As an embodiment, the first configuration information block implicitly indicates which RS resources in the first RS resource set are included in any one of the P RS resource groups.

[0693] As an embodiment, the first configuration information block indicates which RS resources in the first RS resource set are included in any one of the P RS resource groups by indicating other information.

[0694] As an embodiment, the other information includes TCI state or quasi - co - location relationship.

[0695] As an embodiment, in the first RS resource set, RS resources with the same TCI state or quasi - co - location relationship belong to the same RS resource group among the P RS resource groups.

[0696] As an embodiment, the other information includes the associated first - type identifier.

[0697] As an embodiment, the first configuration information block indicates the first - type identifier associated with each RS resource group among the P RS resource groups.

[0698] As an example, in the first RS resource set, the RS resources associated with the same first type of identifier belong to the same RS resource group among the P RS resource groups.

[0699] Example 17

[0700] Example 17 illustrates a schematic diagram of the RS resource corresponding to the maximum channel quality among K channel qualities according to an embodiment of the present application; as shown in the appendix Figure 17 as follows.

[0701] As an example, the RS resource corresponding to the maximum channel quality is an RS resource in the first RS resource set.

[0702] As an example, the K channel qualities are respectively K RSRPs, and the maximum channel quality is the maximum RSRP among the K RSRPs.

[0703] As an example, the K channel qualities are respectively K SINRs, and the maximum channel quality is the maximum SINR among the K SINRs.

[0704] As an example, the maximum channel quality is RSRP or SINR, and any one of the channel qualities other than the maximum channel quality among the K channel qualities is differential RSRP or differential SINR.

[0705] As an example, the RS resource corresponding to the maximum channel quality is an RS resource in the K1 RS resources.

[0706] As an example, the first information block indicates the RS resource corresponding to the maximum channel quality by indicating the identifier of the RS resource corresponding to the maximum channel quality.

[0707] Example 18

[0708] Example 18 illustrates a schematic diagram of the RS resource corresponding to the maximum channel quality among K channel qualities according to an embodiment of the present application; as shown in the appendix Figure 18 as follows. In Example 18, the RS resource corresponding to the maximum channel quality is an RS resource in the first RS resource set. In the appendix Figure 18 it is shown that P is equal to 4, and the P RS resource groups are respectively represented as RS resource group #0,..., RS resource group #3; the RS resource corresponding to the maximum channel quality is an RS resource in RS resource group #0.

[0709] Although in the appendix Figure 18Taking P = 4 as an example, the embodiments in Embodiment 18 are also applicable to the case where P is other values.

[0710] As an embodiment, the first information block indicates the RS resource corresponding to the maximum channel quality from the first RS resource set.

[0711] As an embodiment, the RS resource corresponding to the maximum channel quality belongs to one of the P RS resource groups. The first information block includes a first sub-identifier and a second sub-identifier. The first sub-identifier indicates the RS resource group to which the RS resource corresponding to the maximum channel quality belongs, and the second sub-identifier indicates the RS resource corresponding to the maximum channel quality from the belonging RS resource group.

[0712] In Embodiment 18, the first sub-identifier indicates the RS resource group #0, and the second sub-identifier indicates the RS resource corresponding to the maximum channel quality from the RS resource group #0.

[0713] Example 19

[0714] Embodiment 19 exemplifies a schematic diagram in which K channel qualities and a first model are both associated with a first identifier; as shown in the appendix Figure 19 as shown.

[0715] As an embodiment, each of the K channel qualities is associated with the first identifier.

[0716] As an embodiment, the first identifier is a non-negative integer.

[0717] As an embodiment, the first identifier is a string.

[0718] As an embodiment, the first identifier indicates the association between two or more RS resources.

[0719] As a sub-embodiment of the above embodiment, the association includes having the same or similar characteristics.

[0720] As a sub-embodiment of the above embodiment, the association includes having the same or similar large-scale characteristics.

[0721] As a sub-embodiment of the above embodiment, the association includes quasi co-located.

[0722] As a sub-embodiment of the above embodiment, the association includes quasi co-located and the corresponding quasi co-located type includes TypeD.

[0723] As a sub - embodiment of the above - mentioned embodiment, the association includes being used to generate a training data set for the same model.

[0724] As a sub - embodiment of the above - mentioned embodiment, the association includes being used to generate an inference data set for the same model.

[0725] As a sub - embodiment of the above - mentioned embodiment, the association includes being used to generate a training data set or an inference data set for the same model.

[0726] As an embodiment, the large - scale characteristics include one or more of delay spread, Doppler spread, Doppler shift, average delay, or spatial reception parameters.

[0727] As an embodiment, the large - scale characteristics include a spatial domain transmission filter and a spatial domain reception filter.

[0728] As an embodiment, the first identifier indicates the association between a data set and a model.

[0729] As a sub - embodiment of the above - mentioned embodiment, the association includes that the data set belongs to the training data set of the model.

[0730] As a sub - embodiment of the above - mentioned embodiment, the association includes that the data set belongs to the inference data set of the model.

[0731] As an embodiment, the first identifier indicates the association between an RS resource or a set of RS resources and a model.

[0732] As a sub - embodiment of the above - mentioned embodiment, the association includes that the RS resource or the set of RS resources is used to generate the training data set of the model.

[0733] As a sub - embodiment of the above - mentioned embodiment, the association includes that the RS resource or the set of RS resources is used to generate the inference data set of the model.

[0734] As a sub - embodiment of the above - mentioned embodiment, the association includes that the output of the inference of the model indicates one or more RS resources in the RS resource or the set of RS resources.

[0735] As an embodiment, the association of the K channel qualities with the first identifier includes that the K channel qualities belong to the first data set, and the first data set is associated with the first identifier.

[0736] As an example, the first data set being associated with the first identifier includes that the first data set is identified by the first identifier.

[0737] As an example, the first data set being associated with the first identifier includes that the first data set is a training data set of a model, and the model is identified by the first identifier.

[0738] As an example, the first data set being associated with the first identifier includes that the first data set is a training data set of a model, and the training or retraining of the model is identified by the first identifier.

[0739] As an example, the first data set being associated with the first identifier includes that the first data set is a training data set of a model, and the inference of the model is identified by the first identifier.

[0740] As an example, the first data set being associated with the first identifier includes that the first data set is a training data set of a model, and the AI function or AI entity that performs the training or retraining of the model is identified by the first identifier.

[0741] As an example, the first data set being associated with the first identifier includes that the first data set is a training data set of a model, and the AI entity or AI function that performs the inference of the model is identified by the first identifier.

[0742] As an example, the first data set being associated with the first identifier includes that the first data set is a training data set of a model, and the function implemented by the model is identified by the first identifier.

[0743] As an example, the first data set being associated with the first identifier includes that the first data set is a training data set of a model, and the output of the inference of the model indicates one or more RS resources associated with the first identifier.

[0744] As an example, the first data set being associated with the first identifier includes that the first data set is an inference data set or a performance monitoring data set of a model, and the model is identified by the first identifier.

[0745] As an example, the first data set being associated with the first identifier includes that the first data set is an inference data set of a model, and the inference of the model is identified by the first identifier.

[0746] As an example, the association of the first data set with the first identifier includes that the first data set is an inference data set or a performance monitoring data set of a model, and the AI function or AI entity that performs the inference or performance monitoring of the model is identified by the first identifier.

[0747] As an example, the association of the first data set with the first identifier includes that the first data set is an inference data set or a performance monitoring data set of a model, and the function implemented by the model is identified by the first identifier.

[0748] As an example, the association of the first data set with the first identifier includes that the first data set is an inference data set or a performance monitoring data set of a model, and the output indication of the inference of the model is associated with one or more RS resources related to the first identifier.

[0749] As an example, the association of the K channel qualities with the first identifier includes that the first information block indicates the first identifier.

[0750] As an example, the association of the K channel qualities with the first identifier includes that the first configuration information block indicates the first identifier.

[0751] As an example, the association of the K channel qualities with the first identifier includes that the K channel qualities belong to the training data set of a model associated with the first identifier.

[0752] As an example, the association of the K channel qualities with the first identifier includes that the K channel qualities belong to the inference data set or the performance monitoring data set of a model associated with the first identifier.

[0753] As an example, the model refers to an AI model or an ML model.

[0754] As an example, the association of a model with the first identifier includes that the model is identified by the first identifier.

[0755] As an example, the association of a model with the first identifier includes that the inference of the model is identified by the first identifier.

[0756] As an example, the association of a model with the first identifier includes that the AI function or AI entity that performs the training of the model is identified by the first identifier.

[0757] As an example, the association of a model with the first identifier includes that the AI function or AI entity that performs the inference of the model is identified by the first identifier.

[0758] As an example, a model associated with the first identifier includes that the training of the model is identified by the first identifier.

[0759] As an example, a model associated with the first identifier includes that the training data set of the model is identified by the first identifier.

[0760] As an example, a model associated with the first identifier includes that the inference data set or performance monitoring data set of the model is identified by the first identifier.

[0761] As an example, a model associated with the first identifier includes that the output of the inference of the model indicates one or more RS resources associated with the first identifier.

[0762] As an example, the K channel qualities associated with the first identifier include that at least one of both the first RS resource set and the second RS resource set is associated with the first identifier.

[0763] As an example, the K channel qualities associated with the first identifier include that the (one or more) RS resources for obtaining channel measurements for calculating the K channel qualities are associated with the first identifier.

[0764] As an example, an RS resource associated with the first identifier includes that the RS resource is configured with the first identifier.

[0765] As an example, an RS resource associated with the first identifier includes that the configuration IE of the RS resource indicates the first identifier.

[0766] As an example, the configuration IE of an RS resource is one of NZP-CSI-RS-Resource IE, CSI-ResourceConfig IE, NZP-CSI-RS-ResourceSet IE or CSI-SSB-ResourceSet IE.

[0767] As an example, an RS resource associated with the first identifier includes that the RS resource and another RS resource associated with the first identifier are quasi co-located.

[0768] As an example, an RS resource associated with the first identifier includes that the RS resource and another RS resource associated with the first identifier have the same or similar large-scale characteristics.

[0769] As an example, an RS resource being associated with the first identifier includes that the one RS resource and another RS resource associated with the first identifier are used to generate a training data set for the same model.

[0770] As an example, an RS resource being associated with the first identifier includes that the one RS resource and another RS resource associated with the first identifier are used to generate an inference data set for the same model.

[0771] As an example, an RS resource being associated with the first identifier includes that the one RS resource is used to generate a training data set for a model, and another RS resource associated with the first identifier is used to generate an inference data set for the one model.

[0772] As an example, an RS resource being associated with the first identifier includes that the RS resource set to which the one RS resource belongs is associated with the first identifier.

[0773] As an example, an RS resource is a CSI-RS resource and the RS resource set to which the one RS resource belongs is a CSI-RS resource set, or an RS resource is an SSB / PBCH block resource and the RS resource set to which the one RS resource belongs is a CSI-SSB resource set.

[0774] As an example, an RS resource set being associated with the first identifier includes that the one RS resource set is configured with the first identifier.

[0775] As an example, an RS resource set being associated with the first identifier includes that the configuration IE of the one RS resource set indicates the first identifier.

[0776] As an example, the configuration IE of an RS resource set is one of NZP-CSI-RS-ResourceSet IE, CSI-ResourceConfig IE, or CSI-SSB-ResourceSet IE.

[0777] As an example, an RS resource set being associated with the first identifier includes that any RS resource in the one RS resource set and any RS resource in another RS resource set associated with the first identifier are quasi-co-located.

[0778] As an example, an RS resource set being associated with the first identifier includes that any RS resource in the one RS resource set and any RS resource in another RS resource set associated with the first identifier have the same or similar large-scale characteristics.

[0779] As an example, that a set of RS resources is associated with the first identifier includes that the set of RS resources and another set of RS resources associated with the first identifier are used to generate a training data set for the same model.

[0780] As an example, that a set of RS resources is associated with the first identifier includes that the set of RS resources and another set of RS resources associated with the first identifier are used to generate an inference data set for the same model.

[0781] As an example, that a set of RS resources is associated with the first identifier includes that the set of RS resources is used to generate a training data set for a model, and another set of RS resources associated with the first identifier is used to generate an inference data set for the model.

[0782] As an example, that a set of RS resources is associated with the first identifier includes that the set of RS resources is used to generate a training data set or an inference data set for a model, and the output of the inference of the model includes the identifiers of one or more RS resources in another set of RS resources associated with the first identifier.

[0783] As a preferred example, the first model is an AI model or an ML model.

[0784] As a preferred example, the first model is obtained through training.

[0785] As an example, the training of the first model is performed by the serving cell of the first node.

[0786] As an example, the training of the first model is performed by the core network.

[0787] As an example, the training of the first model is performed by the MDA function (Management Data Analytics Function).

[0788] As an example, the training of the first model is performed by the NWDAF (Network Data Analytics Function).

[0789] As an example, the training of the first model is performed by the producer of the MDAS (Management Data Analytics Service).

[0790] As an example, the training of the first model is performed by the producer of the MnS (Management Service).

[0791] As an example, the training of the first model is performed by an AI entity or an AI training function.

[0792] As an example, the inference of the first model is performed by an AI entity or an AI inference function.

[0793] As an example, the AI includes ML (Machine Learning).

[0794] As an example, the AI includes AI and ML.

[0795] As an example, the AI includes AI or ML.

[0796] As an example, the first model is based on artificial intelligence or machine learning.

[0797] As an example, the first model is based on a Neural Network.

[0798] As an example, the first model is used for the generation of CSI (Channel State Information).

[0799] As an example, the first model is used for beam management or beam prediction.

[0800] As an example, the first model is used for CSI compression.

[0801] As an example, the first model is used for positioning.

[0802] As an example, the output of the first model includes CSI or compressed CSI.

[0803] As an example, the output of the first model includes predicted beam information.

[0804] As an example, the beam information includes at least one of CRI, SSBRI, and RSRP.

[0805] As an example, the first model needs to be deployed.

[0806] As an example, the first model is obtained by loading.

[0807] As an example, the first data set is used for the training of the first model.

[0808] As an example, the training data set of the first model includes the first data set.

[0809] As an example, the first data set is used for the performance monitoring of the first model.

[0810] As an example, the performance monitoring data set of the first model includes the first data set.

[0811] As an example, the first data set is used for the inference of the first model.

[0812] As an example, the inference data set of the first model includes the first data set.

[0813] As an example, the first model is identified by the first identifier.

[0814] As an example, the inference of the first model is identified by the first identifier.

[0815] As an example, the AI function or AI entity that performs the training of the first model is identified by the first identifier.

[0816] As an example, the AI function or AI entity that performs the inference of the first model is identified by the first identifier.

[0817] As an example, the training of the first model is identified by the first identifier.

[0818] As an example, the training data set of the first model is identified by the first identifier.

[0819] As an example, the inference data set of the first model is identified by the first identifier.

[0820] As an example, the performance monitoring data set of the first model is identified by the first identifier.

[0821] As an example, the output of the first model indicates one or more RS resources associated with the first identifier.

[0822] As an example, the K channel qualities and the first model are both associated with the first identifier, indicating that the K channel qualities belong to the training data set of the first model.

[0823] As an example, the K channel qualities and the first model are both associated with the first identifier, which indicates that the K channel qualities belong to the inference data set or the performance monitoring data set of the first model.

[0824] As an example, the K channel qualities and the first model are both associated with the first identifier, which indicates that the RS resources for obtaining the channel measurements for calculating the K channel qualities are used to generate the training data set or the inference data set of the first model.

[0825] Example 20

[0826] Embodiment 20 illustrates a schematic diagram of a first information block according to an embodiment of the present application; as shown in the appendix Figure 20 In Embodiment 20, the first information block includes the identifiers of only the K1 RS resources among the K1 RS resources and the K2 RS resources.

[0827] As an example, the first information block does not include the identifier of any of the K2 RS resources.

[0828] As an example, the K2 RS resources do not need to be explicitly indicated.

[0829] As an example, the first information block implicitly indicates the K2 RS resources by indicating the K1 RS resources.

[0830] As an example, when the K1 RS resources are known, the K2 RS resources do not need to be indicated.

[0831] Example 21

[0832] Embodiment 21 illustrates a schematic diagram of the K1 RS resources and the K2 RS resources according to an embodiment of the present application; as shown in the appendix Figure 21 In Embodiment 21, the P1 RS resource groups are a subset of the P RS resource groups, and any one of the K1 RS resources belongs to one of the P1 RS resource groups; the P1 RS resources are a subset of the P RS resources, the P1 RS resources are respectively associated with the same first type of identifier as the P1 RS resource groups, the K2 is equal to P - P1, and the K2 RS resources are respectively the (P - P1) RS resources among the P RS resources other than the P1 RS resources.

[0833] In the appendix Figure 21Among them, P is equal to 4, and the P RS resource groups are respectively represented as RS resource group #0, …, RS resource group #3; the P1 RS resource groups are RS resource group #0 and RS resource group #1; the RS resources connected by arrows are associated with the same first type of identifier as the RS resource group.

[0834] Although attached Figure 21 Taking P = 4 and P1 = 2 as an example, the embodiments in Embodiment 21 are also applicable to the cases where P is other values and P1 is other values.

[0835] As an embodiment, some or all of the RS resources in any one of the P1 RS resource groups belong to the K1 RS resources.

[0836] As an embodiment, the first information block indicates the K1 RS resources by indicating the P1 RS resource groups.

[0837] As an embodiment, the K1 RS resources include all the RS resources in the P1 RS resource groups.

[0838] As an embodiment, the K2 RS resources do not need to be explicitly indicated.

[0839] As an embodiment, when the K1 RS resources are known, the K2 RS resources do not need to be explicitly indicated.

[0840] Example 22

[0841] Embodiment 22 exemplifies a schematic diagram of a first information block belonging to a first data set according to an embodiment of the present application; as shown in the attachment Figure 22 as shown.

[0842] As an embodiment, the first data set is used for training or retraining.

[0843] As an embodiment, the first data set is used for training or retraining of a model.

[0844] As an embodiment, the first data set includes a training data set.

[0845] As an embodiment, the first data set belongs to a training data set.

[0846] As an embodiment, the first data set is a training data set.

[0847] As an embodiment, the training data set of the first model includes the first data set.

[0848] As an embodiment, the first data set is used for performance monitoring.

[0849] As an example, the first data set is used for performance monitoring of a model.

[0850] As an example, the performance detection data set of the first model includes the first data set.

[0851] As an example, the first data set is used for inference.

[0852] As an example, the first data set is used for inference of a model.

[0853] As an example, the first data set includes an inference data set.

[0854] As an example, the first data set belongs to an inference data set.

[0855] As an example, the first data set is an inference data set.

[0856] As an example, the model is an AI model or an ML model.

[0857] As an example, the model is used for CSI generation or CSI compression.

[0858] As an example, the model is used for CSI prediction or beam management.

[0859] As an example, the model is used for one or more of data reception, positioning, scheduling, and semantic-based error correction.

[0860] As an example, the data set to which the first information block belongs is configured by higher layer signaling.

[0861] As an example, the data set to which the first information block belongs is configured by RRC signaling.

[0862] As an example, the data set to which the first information block belongs is indicated to the first node by the serving cell of the first node.

[0863] As an example, the data set to which the first information block belongs is indicated to the first node by a core network device.

[0864] As an example, the data set to which the first information block belongs is indicated to the first node by an OTT server.

[0865] As an example, the data set to which the first information block belongs is indicated to the first node by OAM.

[0866] As an example, the data set to which the first information block belongs is indicated by the NAS device to the first node.

[0867] As an example, the data set to which the first information block belongs is reported by the first node.

[0868] As an example, the first information block indicates that the data set to which it belongs is the first data set.

[0869] As an example, the first configuration information block indicates that the data set to which the first information block belongs is the first data set.

[0870] As a preferred example, the first data set is associated with the first identifier.

[0871] As an example, the first information block indicates a first identifier, and the first data set is associated with the first identifier.

[0872] As an example, the first configuration information block indicates a first identifier, and the first data set is associated with the first identifier.

[0873] As an example, the first data set is identified by the first identifier.

[0874] As an example, the first data set is used for the training or retraining of a model, and the model is identified by the first identifier.

[0875] As an example, the first data set is used for the training or retraining of a model, and the training or retraining is identified by the first identifier.

[0876] As an example, the first data set is used for the training or retraining of a model, and the inference of the model is identified by the first identifier.

[0877] As an example, the first data set is used for the training or retraining of a model, and the AI function or AI entity that performs the training or retraining is identified by the first identifier.

[0878] As an example, the first data set is used for the training or retraining of a model, and the AI entity or AI function that performs the inference of the model is identified by the first identifier.

[0879] As an example, the first data set is used for the training or retraining of a model, and the function implemented by the model is identified by the first identifier.

[0880] As an example, the first data set is used for inference or performance monitoring of a model, and the model is identified by the first identifier.

[0881] As an example, the first data set is used for inference of a model, and the inference of the model is identified by the first identifier.

[0882] As an example, the first data set is used for inference or performance monitoring of a model, and the AI function or AI entity that performs the inference or performance monitoring is identified by the first identifier.

[0883] As an example, the first data set is used for inference or performance monitoring of a model, and the function implemented by the model is identified by the first identifier.

[0884] As an example, a data set is used for training or retraining of a model, and the training data set of the model includes the data set.

[0885] As an example, a data set is used for inference of a model, and the inference data set of the model includes the data set.

[0886] As an example, a data set is used for performance monitoring of a model, and the performance monitoring data set of the model includes the data set.

[0887] Example 23

[0888] Example 23 illustrates a schematic diagram of the transmission of a first information block on a first radio bearer according to an embodiment of the present application; as shown in the appendix Figure 23 as shown.

[0889] As an example, the first radio bearer is dedicated to AI or ML.

[0890] As an example, the first radio bearer is dedicated to an AI model or an ML model.

[0891] As an example, the first radio bearer is an SRB (Signalling Radio Bearer) not supported by 3GPP R19 or previous versions, such as SRB6, or SRB7, etc.

[0892] As an example, the first radio bearer is a radio bearer for transmitting unicast data other than a DRB (Data Radio Bearer) and an SRB.

[0893] As a sub - embodiment of the above - mentioned embodiment, the name of the first radio bearer includes RB, and the name of the first radio bearer includes I or AI or ML or LLM.

[0894] As an embodiment, the first radio bearer includes a higher - layer entity which is above PDCP (Packet Data Convergence Protocol) and belongs to the Radio Access Network RAN (i.e., does not belong to the core network).

[0895] As a sub - embodiment of the above - mentioned embodiment, the first radio bearer includes the higher - layer entity, a PDCP entity, and an RLC (Radio Link Control) entity.

[0896] Example 24

[0897] Embodiment 24 exemplifies a schematic diagram of deploying a first model according to an embodiment of the present application, as shown in the appendix Figure 24 In Embodiment 24, the first node sends a request to load the first model to a first producer and obtains the first model from the first producer.

[0898] As an embodiment, the first model needs to be deployed.

[0899] As an embodiment, the deployment includes obtaining the first model.

[0900] As an embodiment, the deployment includes obtaining an AI entity.

[0901] As an embodiment, the deployment includes obtaining an AI entity that performs inference on the first model.

[0902] As an embodiment, the deployment includes obtaining an AI entity that includes an AI function for performing inference on the first model.

[0903] As an embodiment, the deployment includes obtaining an AI function.

[0904] As an embodiment, the deployment includes obtaining an AI function for performing inference on the first model.

[0905] As an embodiment, the deployment includes loading the first model.

[0906] As an embodiment, the deployment includes sending a request to load the first model.

[0907] As an example, the request in Figure 24 is a request from the first node to load the first model.

[0908] As an example, the response in Figure 24 is a response to the request from the first node to load the first model.

[0909] As an example, the first node obtains the first model through the response in Figure 24

[0910] As an example, the first producer provides the first model to the first node through the response in Figure 24

[0911] As an example, the deployment is completed by an AI function.

[0912] As an example, the deployment is completed by an AI function deployed on the first node.

[0913] As an example, the deployment is completed by an AI deployment function.

[0914] As an example, the deployment is completed by an AI deployment function deployed on the first node.

[0915] As an example, the deployment is completed by an AI inference function.

[0916] As an example, the deployment is completed by an AI inference function deployed on the first node.

[0917] As an example, the deployment is completed by an AI entity.

[0918] As an example, the deployment is completed by an AI entity deployed on the first node.

[0919] As an example, the deployment is completed by an AI entity with a deployment function.

[0920] As an example, the deployment is completed by an AI entity with a deployment function deployed on the first node.

[0921] As an example, the deployment is completed by an AI entity with an inference function.​​

[0922] As an example, the deployment includes obtaining the first model from a first producer.

[0923] As an example, the deployment includes sending a request to the first producer to load the first model.

[0924] As an example, the deployment includes loading the first model from the first producer.

[0925] As an example, the first producer generates and provides an AI model.

[0926] As an example, the first producer generates and provides an AI entity.

[0927] As an example, the first producer generates and provides an AI function.

[0928] As an example, the first producer is the producer of the first model.

[0929] As an example, the first producer is the producer of the training of the first model.

[0930] As an example, the first producer includes an AI entity producer.

[0931] As an example, the first producer includes an AI function producer.

[0932] As an example, the first producer includes an AI deployment producer.

[0933] As an example, the first producer includes an AI training producer.

[0934] As an example, the first producer includes an AI inference producer.

[0935] As an example, the first producer includes the producer of the training of the AI model.

[0936] As an example, the first producer includes a MnS (Management Service) producer.

[0937] As an example, the first producer is the serving cell of the first node.

[0938] As an example, the first producer is the serving base station of the serving cell of the first node.

[0939] As an example, the first producer is a core network device.

[0940] As an example, the first producer is a NAS device.

[0941] As an example, the first producer is an OTT server.

[0942] As an example, the training of the first model is performed by the first producer.

[0943] Example 25

[0944] Embodiment 25 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 the appendix Figure 25 As shown. In Embodiment 25, the third processor sends a second data set to the fourth processor and a third data set to the fifth processor; the fourth processor generates a target first type of parameter group according to the second data set, and the fourth processor sends the generated target first type of parameter group to the fifth processor; the fifth processor processes the third data set using the target first type of parameter group to obtain a first type of output, and the fifth processor sends the first type of output to the sixth processor. In the appendix Figure 25 The first type of feedback and the second type of feedback are optional; the fourth processor includes an ML training function; the fifth processor includes an ML inference function.

[0945] As an example, the sixth processor includes an ML testing function.

[0946] As an example, the sixth processor includes performance monitoring / evaluation of the ML model.

[0947] As an example, the sixth processor includes the inverse operation of the fifth processor.

[0948] As an example, the fifth processor sends a first type of feedback to the fourth processor, and the first type of feedback is used to trigger recalculation or update of the target first type of parameter group, that is, to trigger ML initial training or ML retraining.

[0949] As an example, the sixth processor sends a second type of feedback to the third processor, and the second type of feedback is used to generate the second data set or the third data set, or the second type of feedback is used to trigger the sending of the second data set or the sending of the third data set.

[0950] As an example, the third processor generates the second data set and the third data set based on measurements of a reference signal.

[0951] As an example, the fifth processor is located at the first node.

[0952] As an example, the sixth processor is located at the first node or the second node.

[0953] As an example, the fifth processor performs inference of the first model.

[0954] As an example, the sixth processor performs an inverse operation of the inference of the first model.

[0955] As an example, the third data set includes measurements for the RS.

[0956] As an example, the third data set includes reception of the PDSCH.

[0957] As an example, the second data set includes training data.

[0958] As an example, the second data set includes the first data set.

[0959] As an example, the fourth processor is used to train an ML model, and the trained model is described by the target first type of parameter group.

[0960] As an example, the fourth processor is located at the second node.

[0961] The above embodiments support joint training and optimize system performance.

[0962] As an example, the fourth processor is located in the core network.

[0963] The above embodiments support full-network joint training and further optimize system performance.

[0964] As an example, the third data set includes inference data.

[0965] As an example, the fifth processor constructs a model according to the target first type of parameter group, and then inputs the third data set into the constructed model to obtain the first type of output.

[0966] As an example, the fifth processor compares the real data with the first type of output, and the obtained error is used to generate the first type of feedback.

[0967] As an example, the fifth processor generates the first type of feedback through performance monitoring.

[0968] As an example, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model does not meet the requirements, the fourth processor recalculates the target first type of parameter group.

[0969] As an example, the sixth processor compares the real data with the first type of output, and the obtained error is used to generate the second type of feedback.

[0970] As an example, the sixth processor generates the second type of feedback through performance monitoring.

[0971] As an example, the second type of feedback is used to reflect the performance of the trained model; when the performance of the trained model does not meet the requirements, the third processor sends the second data set to trigger or assist the fourth processor to recalculate the target first type of parameter group.

[0972] As an example, when the error is too large or there is no update for too long, the performance of the trained model is considered not to meet the requirements.

[0973] As an example, the target first type of parameter group includes one or more of: convolution kernel size, number of convolution layers, convolution stride, pooling kernel size, pooling kernel stride, pooling function, activation function, or number of feature maps.

[0974] As an example, the target first type of parameter group includes one or more of: convolution kernel, pooling kernel, pooling function, activation function, parameters of the pooling function, or parameters of the activation function.

[0975] As an example, the ML includes AI.

[0976] As an example, the ML includes ML and AI.

[0977] Example 26

[0978] Example 26 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of the present application; as shown in the appendix Figure 26 shown. Appendix Figure 26 includes a first operation, a second operation, a third operation, a fourth operation, and a fifth operation. In Example 26, the first operation and the second operation belong to the first stage, the third operation belongs to the second stage, the fourth operation belongs to the third stage, and the fifth operation belongs to the fourth stage. In the appendix Figure 26Among them, the lines with arrows indicate the sequence of the process.

[0979] As an example, the first operation includes ML training, the second operation includes ML testing, the third operation includes ML emulation, the fourth operation includes ML entity loading, and the fifth operation includes AI inference.

[0980] As an example, the first phase includes the training phase, the second phase includes the emulation phase, the third phase includes the deployment phase, and the fourth phase includes the inference phase.

[0981] As an example, the first phase includes ML model training.

[0982] As an example, the first phase includes ML model training and ML testing.

[0983] As an example, the ML model training includes the initial training and re-training of one or a group of ML models.

[0984] As an example, the ML model training depends on training data.

[0985] As an example, the ML model training includes ML entity validation.

[0986] As an example, the ML entity validation is used to evaluate the performance of the ML entity.

[0987] As an example, the ML entity validation depends on validation data.

[0988] As an example, if the result of the ML entity validation does not meet the expectation, the ML model will be re-trained.

[0989] As an example, the ML testing includes testing the validated ML entity to evaluate the performance of the trained ML model.

[0990] As an example, if the result of the ML testing meets the expectation, the ML entity proceeds to the next phase; otherwise, the ML model will be re-trained.

[0991] As an example, the ML test relies on test data.

[0992] As an example, the second stage includes an ML simulation, and the ML simulation performs inference of ML entities in a simulation environment.

[0993] As an example, the ML simulation estimates the performance of ML entity inference in a simulation environment before using the ML entities.

[0994] As an example, the second stage is optional.

[0995] As an example, the third stage includes ML entity loading, and the ML entity loading is to obtain the trained ML entities to obtain the desired AI inference function.

[0996] As an example, the third stage is optional.

[0997] As an example, when the training function and the inference function are co-located, the third stage is no longer required.

[0998] As an example, the fourth stage includes AI inference.

[0999] As an example, the ML includes AI.

[1000] As an example, the AI includes ML.

[1001] Example 27

[1002] Example 27 illustrates a schematic diagram of the deployment of the AI function according to an embodiment of the present application; as shown in the appendix Figure 27 as shown.

[1003] In Example 27, the AI training function in the RAN (Radio Access Network) domain is located in the 3GPP RAN domain-specific management function, while the AI inference function is located in the UE.

[1004] In Example 27, the RAN domain-specific management function provides the management capabilities of the AI training function and the management capabilities of the AI inference function.

[1005] Example 28

[1006] Embodiment 28 exemplifies a schematic diagram of the deployment of the AI function according to an embodiment of the present application; as shown in the appendix Figure 28 as follows.

[1007] In Embodiment 28, the AI training function is located in the RAN domain-specific management function, and the AI inference function is located locally in the UE.

[1008] In Embodiment 28, 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.

[1009] In the appendix Figure 28 MnF refers to Management Function.

[1010] Example 29

[1011] Embodiment 29 exemplifies a structural block diagram of the processing device in the first node according to an embodiment of the present application; as shown in the appendix Figure 29 as follows. In the appendix Figure 29 the processing device 2900 in the first node includes a processor 2901.

[1012] In Embodiment 29, the first processor 2901 sends a first information block.

[1013] In Embodiment 29, the first information block indicates K channel qualities arranged in sequence, where K is a positive integer greater than 1; any one of the K channel qualities corresponds to one RS resource in the first RS resource set or corresponds to one RS resource in the second RS resource set, the second RS resource set includes P RS resources, where P is a positive integer greater than 1, the P RS resources are respectively associated with P first-class identifiers, the first RS resource set includes P RS resource groups, and the P RS resource groups are respectively associated with the P first-class identifiers; the target channel quality is one of the K channel qualities; whether the target channel quality corresponds to one RS resource in the first RS resource set or corresponds to one RS resource in the second RS resource set depends on the position of the target channel quality among the K channel qualities, or, the position of the target channel quality among the K channel qualities depends on whether the target channel quality corresponds to one RS resource in the first RS resource set or corresponds to one RS resource in the second RS resource set.

[1014] As an embodiment, any one of the K channel qualities includes RSRP.

[1015] As a sub - embodiment of the above - mentioned embodiment, the first channel quality among the K channel qualities is the maximum RSRP among the K channel qualities.

[1016] As a sub - embodiment of the above - mentioned embodiment, the (K - 1) channel qualities among the K channel qualities except the first channel quality are all differential RSRP (differential reference signal received power).

[1017] As an embodiment, any RS resource in the first RS resource set and an RS resource in the second RS resource set are quasi - co - located.

[1018] As an embodiment, the coverage range of the beam of any RS resource in the first RS resource set is included within the coverage range of the beam of an RS resource in the second RS resource set.

[1019] As an embodiment, one channel quality corresponding to one RS resource includes that the one channel quality depends on the measurement on the one RS resource, and the one channel quality is any one of the K channel qualities.

[1020] As an embodiment, the target receiver of the first information block determines whether the target channel quality corresponds to an RS resource in the first RS resource set or an RS resource in the second RS resource set according to the position of the target channel quality among the K channel qualities.

[1021] As an embodiment, the first node determines the position of the target channel quality among the K channel qualities according to whether the target channel quality corresponds to an RS resource in the first RS resource set or an RS resource in the second RS resource set.

[1022] As an embodiment, the first processor 2901 measures on the first RS resource set.

[1023] As an embodiment, the first processor 2901 measures on the second RS resource set.

[1024] As an embodiment, the first K1 channel qualities among the K channel qualities respectively correspond to K1 RS resources in the first RS resource set, and the last K2 channel qualities among the K channel qualities respectively correspond to K2 RS resources in the second RS resource set, and the sum of K1 and K2 is equal to K.

[1025] As an embodiment, the first information block indicates at least one of both K1 and K2.

[1026] As an embodiment, at least one of the K1 and the K2 is configured by a higher layer parameter.

[1027] As an embodiment, a first type of identifier associated with any one of the K2 RS resources is different from a first type of identifier associated with an RS resource group to which any one of the K1 RS resources belongs.

[1028] As an embodiment, the first information block indicates the K1 RS resources.

[1029] As an embodiment, the first M channel qualities among the K channel qualities respectively correspond to M RS resources in the first RS resource set, where M is a positive integer greater than 1, and the M RS resources all belong to the same RS resource group among the P RS resource groups.

[1030] As an embodiment, the first processor 2901 receives a first configuration information block; wherein, the first configuration information block indicates at least one of the configuration information of the first RS resource set, the second RS resource set, and the first information block.

[1031] As an embodiment, the first information block indicates the RS resource corresponding to the maximum channel quality among the K channel qualities.

[1032] As an embodiment, the K channel qualities are associated with a first identifier, and a first model is associated with the first identifier.

[1033] As a sub - embodiment of the above - mentioned embodiment, the first model is an AI model or an ML model.

[1034] As a sub - embodiment of the above - mentioned embodiment, the first model is obtained through training.

[1035] As an embodiment, the first processor 2901 deploys the first model.

[1036] As an embodiment, the first processor 2901 performs inference of the first model.

[1037] As an embodiment, the first information block does not include the identifiers of the K2 RS resources.

[1038] As an embodiment, the first information block belongs to a first data set.

[1039] As an embodiment, the first information block is transmitted on a first radio bearer, and the first radio bearer is a new radio bearer other than the radio bearers supported by 3GPP R19.

[1040] As an example, the first node is a terminal.

[1041] As an example, the first node is a user equipment.

[1042] As an example, the first node is a relay node device.

[1043] As an example, the first processor 2901 includes at least one of {antenna 452, receiver / transmitter 454, receive processor 456, transmit processor 468, multi-antenna receive processor 458, multi-antenna transmit processor 457, controller / processor 459, memory 460, data source 467} in Embodiment 4.

[1044] Example 30

[1045] Embodiment 30 illustrates a structural block diagram of a processing device in a second node according to an embodiment of the present application; as shown in the appendix Figure 30 shown. In the appendix Figure 30 the processing device 3000 in the second node includes a second processor 3001.

[1046] In Embodiment 30, the second processor 3001 receives a first information block.

[1047] In Embodiment 30, the first information block indicates K channel qualities arranged in sequence, where K is a positive integer greater than 1; any one of the K channel qualities corresponds to one RS resource in a first RS resource set or corresponds to one RS resource in a second RS resource set, the second RS resource set includes P RS resources, where P is a positive integer greater than 1, the P RS resources are respectively associated with P first-class identifiers, the first RS resource set includes P RS resource groups, and the P RS resource groups are respectively associated with the P first-class identifiers; the target channel quality is one of the K channel qualities; whether the target channel quality corresponds to one RS resource in the first RS resource set or corresponds to one RS resource in the second RS resource set depends on the position of the target channel quality among the K channel qualities, or the position of the target channel quality among the K channel qualities depends on whether the target channel quality corresponds to one RS resource in the first RS resource set or corresponds to one RS resource in the second RS resource set.

[1048] As an example, any one of the K channel qualities includes RSRP.

[1049] As a sub - embodiment of the above - mentioned embodiment, the first channel quality among the K channel qualities is the maximum RSRP among the K channel qualities.

[1050] As a sub - embodiment of the above - mentioned embodiment, the (K - 1) channel qualities among the K channel qualities other than the first channel quality are all differential RSRP (differential RSRP).

[1051] As an embodiment, any RS resource in the first RS resource set and an RS resource in the second RS resource set are quasi co - located.

[1052] As an embodiment, the coverage range of the beam of any RS resource in the first RS resource set is included within the coverage range of the beam of an RS resource in the second RS resource set.

[1053] As an embodiment, that a channel quality corresponds to an RS resource includes that the channel quality depends on the measurement on the RS resource, and the channel quality is any one of the K channel qualities.

[1054] As an embodiment, the second node determines whether the target channel quality corresponds to an RS resource in the first RS resource set or an RS resource in the second RS resource set according to the position of the target channel quality among the K channel qualities.

[1055] As an embodiment, the sender of the first information block determines the position of the target channel quality among the K channel qualities according to whether the target channel quality corresponds to an RS resource in the first RS resource set or an RS resource in the second RS resource set.

[1056] As an embodiment, the second processor 3001 transmits on the first RS resource set.

[1057] As an embodiment, the second processor 3001 transmits on the second RS resource set.

[1058] As an embodiment, the first K1 channel qualities among the K channel qualities respectively correspond to K1 RS resources in the first RS resource set, and the last K2 channel qualities among the K channel qualities respectively correspond to K2 RS resources in the second RS resource set, and the sum of K1 and K2 is equal to K.

[1059] As an embodiment, the first information block indicates at least one of K1 and K2.

[1060] As an embodiment, at least one of the K1 and the K2 is configured by a higher-layer parameter.

[1061] As an embodiment, a first type of identifier associated with any one of the K2 RS resources is different from a first type of identifier associated with an RS resource group to which any one of the K1 RS resources belongs.

[1062] As an embodiment, the first information block indicates the K1 RS resources.

[1063] As an embodiment, the first M channel qualities among the K channel qualities respectively correspond to M RS resources in the first RS resource set, where M is a positive integer greater than 1, and the M RS resources all belong to the same RS resource group among the P RS resource groups.

[1064] As an embodiment, the second processor 3001 sends a first configuration information block; wherein, the first configuration information block indicates at least one of the first RS resource set, the second RS resource set, and the configuration information of the first information block.

[1065] As an embodiment, the first information block indicates the RS resource corresponding to the maximum channel quality among the K channel qualities.

[1066] As an embodiment, the K channel qualities are associated with a first identifier, and a first model is associated with the first identifier.

[1067] As a sub-embodiment of the above embodiment, the first model is an AI model or an ML model.

[1068] As a sub-embodiment of the above embodiment, the first model is obtained through training.

[1069] As an embodiment, the first information block does not include the identifiers of the K2 RS resources.

[1070] As an embodiment, the first information block belongs to a first data set.

[1071] As an embodiment, the first information block is transmitted on a first radio bearer, and the first radio bearer is a new radio bearer other than the radio bearers supported by 3GPP R19.

[1072] As an embodiment, the second node includes a base station.

[1073] As an embodiment, the second node includes base station equipment.

[1074] As an embodiment, the second node includes a relay node device.

[1075] As an embodiment, the second node includes a serving base station for maintaining the serving cell of the first node.

[1076] As an embodiment, the second node includes an OTT server (Over-The-Top server).

[1077] As an embodiment, the second node provides OAM (Operation Administration and Maintenance).

[1078] As an embodiment, the second node includes a NAS (Network Access Server).

[1079] As an embodiment, the second node includes a NAS device.

[1080] As an embodiment, the second node provides network access services.

[1081] As an embodiment, the second node includes core network equipment.

[1082] As an embodiment, the second node includes base station equipment and core network equipment.

[1083] As an embodiment, the second node includes base station equipment and a NAS device.

[1084] As an embodiment, the second node includes an MDA function producer.

[1085] As an embodiment, the second node includes a NWDAF producer.

[1086] As an embodiment, the second node includes an MDAS producer.

[1087] As an embodiment, the second node includes an MnS producer.

[1088] As an embodiment, the second processor 3001 includes at least one of {antenna 420, receiver / transmitter 418, receive processor 470, transmit processor 416, multi-antenna receive processor 472, multi-antenna transmit processor 471, controller / processor 475, memory 476} in Embodiment 4.

[1089] Those of ordinary skill in the art can understand that all or part of the steps in the above methods can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium, such as a read-only memory, a hard disk, or an optical disc, etc. Optionally, all or part of the steps of the above embodiments can also be implemented using one or more integrated circuits. Correspondingly, each module unit in the above embodiments can be implemented in a hardware form or in the form of a software function module. This application is not limited to any specific form of the combination of software and hardware. The user equipment, terminal, and UE in this application include, but are not limited to, drones, communication modules on drones, remote control aircraft, aircraft, small aircraft, mobile phones, tablets, laptops, vehicle-mounted communication devices, transportation means, 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 tablets, and other wireless communication devices. The base stations or system devices in this application include, but are not limited to, macrocell base stations, microcell base stations, small cell base stations, home base stations, relay base stations, eNBs, gNBs, TRPs (Transmitter Receiver Points), GNSSs, relay satellites, satellite base stations, aerial base stations, RSUs (Road Side Units), drones, test equipment, such as transceiver devices or signaling testers that simulate some functions of base stations, and other wireless communication devices.

[1090] Those skilled in the art should understand that the present invention can be implemented in other specified forms without departing from its core or basic characteristics. Therefore, the currently disclosed embodiments should be considered as descriptive rather than restrictive in any case. The scope of the invention is determined by the appended claims rather than the preceding description, and all modifications within the equivalent meaning and scope are considered to be included therein.

Claims

1. A method used in a terminal, characterized in that: include: Sending a first information block, where the first information block indicates K channel qualities arranged in sequence, where K is a positive integer greater than 1; Among them, any channel quality among the K channel qualities corresponds to an RS resource in the first RS resource set or corresponds to an RS resource in the second RS resource set, the second RS resource set includes P RS resources, P is a positive integer greater than 1, the P RS resources are respectively associated with P first-class identifiers, the first RS resource set includes P RS resource groups, and the P RS resource groups are respectively associated with the P first-class identifiers; the target channel quality is a channel quality among the K channel qualities; whether the target channel quality corresponds to an RS resource in the first RS resource set or an RS resource in the second RS resource set depends on the position of the target channel quality in the K channel qualities, or the position of the target channel quality in the K channel qualities depends on whether the target channel quality corresponds to an RS resource in the first RS resource set or an RS resource in the second RS resource set.

2. The method according to claim 1, characterized in that The first K1 channel qualities among the K channel qualities correspond to K1 RS resources in the first RS resource set, and the last K2 channel qualities among the K channel qualities correspond to K2 RS resources in the second RS resource set, and the sum of K1 and K2 is equal to K.

3. The method according to claim 2, characterized in that The first information block indicates at least one of the K1 and the K2.

4. The method according to claim 2 or 3, characterized in that: At least one of the K1 and the K2 is configured by a higher layer parameter.

5. The method according to any one of claims 2 to 4, characterized in that: The first type of identifier associated with any one of the K2 RS resources is different from the first type of identifier associated with the RS resource group to which any one of the K1 RS resources belongs.

6. The method according to any one of claims 2 to 5, characterized in that: The first information block indicates the K1 RS resources.

7. The method according to any one of claims 1 to 6, characterized in that: The first M channel qualities among the K channel qualities respectively correspond to M RS resources in the first RS resource set, where M is a positive integer greater than 1, and the M RS resources all belong to the same RS resource group among the P RS resource groups.

8. The method according to any one of claims 1 to 7, characterized in that: include: receiving a first configuration information block; The first configuration information block indicates at least one of the first RS resource set, the second RS resource set, and the configuration information of the first information block.

9. The method according to any one of claims 1 to 8, characterized in that: The first information block indicates an RS resource corresponding to a maximum channel quality among the K channel qualities.

10. The method according to any one of claims 1 to 9, characterized in that: The K channel qualities are associated with a first identifier, and the first model is associated with the first identifier.

11. The method according to any one of claims 1 to 10, characterized in that: The first information block does not include identifiers of the K2 RS resources.

12. The method according to any one of claims 1 to 11, characterized in that The first information block belongs to a first data set.

13. The method according to any one of claims 1 to 12, characterized in that The first information block is transmitted on a first radio bearer, where the first radio bearer is a new radio bearer other than the radio bearers supported by 3GPP R19.

14. A terminal, characterized in that: The terminal includes: one or more processors and a memory; The memory is coupled to the one or more processors, and the memory is used to store computer program codes, where the computer program codes include computer instructions. The one or more processors call the computer instructions to enable the terminal to execute the method according to any one of claims 1 to 13.

15. A method used in a base station, characterized in that: include: Receiving a first information block, where the first information block indicates K channel qualities arranged in sequence, where K is a positive integer greater than 1; Among them, any channel quality among the K channel qualities corresponds to an RS resource in the first RS resource set or corresponds to an RS resource in the second RS resource set, the second RS resource set includes P RS resources, P is a positive integer greater than 1, the P RS resources are respectively associated with P first-class identifiers, the first RS resource set includes P RS resource groups, and the P RS resource groups are respectively associated with the P first-class identifiers; the target channel quality is a channel quality among the K channel qualities; whether the target channel quality corresponds to an RS resource in the first RS resource set or an RS resource in the second RS resource set depends on the position of the target channel quality in the K channel qualities, or the position of the target channel quality in the K channel qualities depends on whether the target channel quality corresponds to an RS resource in the first RS resource set or an RS resource in the second RS resource set.

16. The method according to claim 15, characterized in that The first K1 channel qualities among the K channel qualities correspond to K1 RS resources in the first RS resource set, and the last K2 channel qualities among the K channel qualities correspond to K2 RS resources in the second RS resource set, and the sum of K1 and K2 is equal to K.

17. The method according to claim 16, characterized in that The first information block indicates at least one of the K1 and the K2.

18. The method according to any one of claims 16 to 17, characterized in that At least one of the K1 and the K2 is configured by a higher layer parameter.

19. The method according to any one of claims 16 to 18, characterized in that The first type of identifier associated with any one of the K2 RS resources is different from the first type of identifier associated with the RS resource group to which any one of the K1 RS resources belongs.

20. The method according to any one of claims 16 to 19, characterized in that The first information block indicates the K1 RS resources.

21. The method according to any one of claims 15 to 20, characterized in that The first M channel qualities among the K channel qualities respectively correspond to M RS resources in the first RS resource set, where M is a positive integer greater than 1, and the M RS resources all belong to the same RS resource group among the P RS resource groups.

22. The method according to any one of claims 15 to 21, characterized in that include: Sending a first configuration information block; The first configuration information block indicates at least one of the first RS resource set, the second RS resource set, and the configuration information of the first information block.

23. The method according to any one of claims 15 to 22, characterized in that The first information block indicates an RS resource corresponding to a maximum channel quality among the K channel qualities.

24. The method according to any one of claims 15 to 23, characterized in that The K channel qualities are associated with a first identifier, and the first model is associated with the first identifier.

25. The method according to any one of claims 15 to 24, characterized in that The first information block does not include identifiers of the K2 RS resources.

26. The method according to any one of claims 15 to 25, characterized in that The first information block belongs to a first data set.

27. The method according to any one of claims 15 to 26, characterized in that The first information block is transmitted on a first radio bearer, where the first radio bearer is a new radio bearer other than the radio bearers supported by 3GPP R19.

28. A base station, characterized in that: The base station includes: one or more processors and a memory; The memory is coupled to the one or more processors, and the memory is used to store computer program codes, where the computer program codes include computer instructions, and the one or more processors call the computer instructions to enable the base station to perform the method according to any one of claims 15 to 27.

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