Method and device for resource occupation in node used for wireless communication

Abstract

The invention discloses a method and a device for resource occupancy in a node used for wireless communication. A first receiver measuring on at least a first set of RS resources; a first transmitter that transmits a first information block, the first information block including a first accuracy; wherein the first accuracy depends on a first CSI and a second CSI, at least the first CSI in the first CSI and the second CSI depends on measurement on the first RS resource set, the first accuracy is under the condition of occupying N first resources, and N is a positive integer. The resource utilization rate is improved, and the overall performance of the system is improved.

Description

Technical Field

[0001] The present application relates to a transmission method and apparatus in a wireless communication system, and particularly to a method and apparatus related to resource occupancy 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, and so on. Among them, CSI (Channel Status Information) includes, but is not limited to, one or more of CRI (CSI-RS Resource Indicator), RI (Rank Indicator), PMI (Precoding Matrix Indicator), CQI (Channel quality indicator), or L1-RSRP (Layer 1 Reference Signal Received Power). The UE can use this information by itself to select appropriate transmission parameters or report this information. The network device selects appropriate transmission parameters for the UE according to the report of the UE, such as the resident cell, MCS (Modulation and Coding Scheme), TPMI (Transmitted Precoding Matrix Indicator), TCI (Transmission Configuration Indication), etc. In addition, the UE report can be used to optimize network parameters, such as better cell coverage, switching the base station according to the UE location, and so on.

[0003] Compared with the 5G (Generation) system, a significant feature of the 6G system will be greater intelligence. AI (Artificial Intelligence) / ML (Machine Learning) aims to significantly improve the performance of wireless communication by leveraging advanced artificial intelligence and machine learning technologies. With AI / ML technologies, the 6G system can not only intelligently provide high-quality services based on the perception and learning of the surrounding environment, such as scheduling, data reception, signal processing, encoding / decoding, measurement, and reporting, but also intelligently achieve self-optimization and self-maintenance of the network. In NR (New Radio) R (release) 18, the research on AI / ML technologies was approved.

[0004] 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 compared to traditional technologies.

[0005] According to the 3GPP (3rd Generation Partner Project) standard TS38.300, AI / ML models and algorithms are outside the scope of 3GPP. Summary of the Invention

[0006] The applicant found through research that when the AI / ML function is introduced, the existing measurement mechanism, reporting mechanism, and related configuration signaling may not be able to meet the requirements of AI / ML. For example, for AI / ML models represented by the Transformer architecture, their inference performance increases significantly with the increase in the number of parameters of the AI / ML model. On the other hand, the computational amount required for inference calculation increases with the increase in the inference output. Since the maximum computing power of communication devices is limited by hardware devices, the parameters of the AI / ML model used for inference and the inference output may be in a mutually restrictive relationship.

[0007] In view of 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 models and a large number of embodiments are directed to AI / ML, the present application is also applicable to other solutions, such as traditional reception algorithms, traditional measurement and reporting solutions, traditional scheduling algorithms, etc. 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 algorithms / solutions) helps to reduce signaling overhead / complexity, reduce hardware complexity and cost. Without conflict, the embodiments and features in any node of the present application can be applied to any other node. Without conflict, the embodiments and features in the embodiments of the present application can be combined with each other arbitrarily.

[0008] When needed, 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.

[0009] The present application discloses a method in a first node for wireless communication, characterized by including:

[0010] Measuring on at least a first set of RS (Reference Signal) resources;

[0011] Sending a first information block, the first information block including a first accuracy rate;

[0012] Wherein, the first accuracy rate depends on a first CSI (Channel State Information) and a second CSI, at least the first CSI of the first CSI and the second CSI depends on the measurement on the first set of RS resources, and the first accuracy rate is conditional on occupying N first type resources, and N is a positive integer.

[0013] As an embodiment, the problems to be solved by the present application include: how to reflect the mutual influence between resource occupation and accuracy rate; in the above method, the first accuracy rate is conditional on occupying N first type resources, which solves this problem.

[0014] As an embodiment, the advantages of the above method include: providing a solution for reporting auxiliary information to help the network side judge the performance for AI or ML-based technologies, especially for the performance monitoring of AI inference or ML inference, which is beneficial to giving full play to the advantages of AI or ML-based technologies to improve system performance.

[0015] As an example, the performance of inference improves significantly as the number of parameters of the AI / ML model increases. However, the larger the number of parameters, the greater the computational amount and storage space required for inference. Therefore, there is a mutually restrictive relationship between the performance of inference and resource occupancy. How to optimize the performance monitoring for inference based on this mutually restrictive relationship is a problem to be solved. In the above method, the first accuracy rate reported by the first node is conditional on occupying N first-class resources, which solves this problem.

[0016] As an example, the essence of the above method includes: the first accuracy rate reflects the performance of inference.

[0017] As an example, the essence of the above method includes: the first accuracy rate is an indicator of the performance of inference.

[0018] As an example, the essence of the above method includes: under the condition of occupying different amounts of first-class resources, the obtained performance of inference is different, and the performance monitoring of inference is based on a certain resource occupancy.

[0019] As an example, the advantages of the above method include: achieving a better balance between the performance monitoring of inference and resource occupancy, improving resource utilization rate, and optimizing performance.

[0020] As an example, the advantages of the above method include: simplifying system design and facilitating implementation.

[0021] As an example, the advantages of the above method include: good flexibility, adapting to different terminals and different application scenarios.

[0022] As an example, the advantages of the above method include improving the efficiency and robustness of the system.

[0023] According to one aspect of the present application, it is characterized in that the first CSI depends on inference.

[0024] As an example, the advantages of the above method include: reducing resource overhead and latency.

[0025] According to one aspect of the present application, it is characterized in that the at least first RS resource set only includes the first RS resource set, and both the first CSI and the second CSI depend on the measurement on the first RS resource set.

[0026] As an example, the advantages of the above method include: simplifying the design and being easy to implement.

[0027] According to one aspect of the present application, it is characterized in that the at least first RS resource set includes a first RS resource set and a second RS resource set, the first CSI depends on the measurement on the first RS resource set, and the second CSI depends on the measurement on the second RS resource set.

[0028] As an embodiment, the advantages of the above method include: better flexibility to adapt to different terminals and different scenarios.

[0029] According to one aspect of the present application, it is characterized in that the first CSI includes the identification of at least one predicted beam, and the second CSI includes the identification of at least one measured beam; the first accuracy rate, conditional on occupying N first-type resources, includes: the first accuracy rate indicates the accuracy of the at least one predicted beam under the condition that the number of first-type resources occupied by the calculation of the first CSI is not less than N.

[0030] According to one aspect of the present application, it is characterized in that the first CSI includes the identification of at least one predicted beam, and the second CSI includes the identification of at least one measured beam; the first accuracy rate, conditional on occupying N first-type resources, includes: the first accuracy rate indicates the accuracy of the at least one predicted beam under the condition that the number of first-type resources occupied by the calculation of the first CSI is N.

[0031] As an embodiment, the advantages of the above method include: achieving a better balance between the accuracy of the predicted beam and resource occupancy, improving resource utilization, and optimizing performance.

[0032] As an embodiment, the advantages of the above method include: unifying the understanding of the first accuracy rate between the network side and the terminal side, and helping the network side optimize the scheduling related to inference.

[0033] According to one aspect of the present application, it is characterized in that the first CSI includes at least one predicted RSRP (Reference Signal Received Power), and the second CSI includes at least one measured RSRP; the first accuracy rate, conditional on occupying N first-type resources, includes: the first accuracy rate indicates the accuracy of the at least one predicted RSRP under the condition that the number of first-type resources occupied by the calculation of the first CSI is not less than N.

[0034] According to one aspect of the present application, it is characterized in that the first CSI includes at least one predicted RSRP, and the second CSI includes at least one measured RSRP; the first accuracy rate, on the condition of occupying N first - type resources, includes: the first accuracy rate indicates the accuracy of the at least one predicted RSRP on the condition that the number of first - type resources occupied by the calculation of the first CSI is N.

[0035] As an embodiment, the advantages of the above - mentioned method include: achieving a better balance between the accuracy of predicting RSRP and resource occupancy, improving resource utilization rate, and optimizing performance.

[0036] As an embodiment, the advantages of the above - mentioned method include: unifying the understanding of the first accuracy rate on the network side and the terminal side, and helping the network side optimize the scheduling related to inference.

[0037] According to one aspect of the present application, it is characterized in that it includes:

[0038] Sending a second information block, where the second information block indicates the N.

[0039] As an embodiment, the advantages of the above - mentioned method include: the first node reports the N, which improves flexibility and adapts to different terminals.

[0040] According to one aspect of the present application, it is characterized in that it includes:

[0041] Receiving a second information block, where the second information block indicates the N.

[0042] As an embodiment, the advantages of the above - mentioned method include: facilitating the joint optimization on the network side and further improving the system performance.

[0043] According to one aspect of the present application, it is characterized in that it includes:

[0044] Sending a third information block, where the third information block indicates N0 first - type resources, and N0 is a positive integer greater than 1; wherein, the N is not greater than the N0.

[0045] As an embodiment, the essence of the above - mentioned method includes: the N0 is the maximum number of first - type resources supported by the first node.

[0046] As an embodiment, the advantages of the above - mentioned method include: helping the network side understand the overall situation of resource occupancy so as to optimize the scheduling related to inference.

[0047] According to one aspect of the present application, each of the N first - type resources includes one or more first - type sub - resources and one or more second - type sub - resources, and at least the first - type sub - resources among the first - type sub - resources and the second - type sub - resources are used for inference.

[0048] As an embodiment, the advantages of the above - mentioned method include: good forward compatibility.

[0049] As an embodiment, the advantages of the above - mentioned method include: better flexibility, suitable for different terminals.

[0050] As an embodiment, the advantages of the above - mentioned method include: making full use of existing hardware devices and processing capabilities, and improving device utilization.

[0051] According to one aspect of the present application, a terminal is provided, which includes:

[0052] One or more processors and a memory;

[0053] The memory is coupled to the one or more processors, and the memory is used to store computer program code. The computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the terminal to execute the method in the first node.

[0054] The present application discloses a method in a second node for wireless communication, which includes:

[0055] Transmit RS on at least a first RS resource set;

[0056] Receive a first information block, where the first information block includes a first accuracy rate;

[0057] Wherein, the first accuracy rate depends on a first CSI and a second CSI, at least the first CSI among the first CSI and the second CSI depends on measurements on the first RS resource set, and the first accuracy rate is conditional on occupying N first - type resources, where N is a positive integer.

[0058] According to one aspect of the present application, the first CSI depends on inference.

[0059] According to one aspect of the present application, the at least first RS resource set only includes the first RS resource set, and both the first CSI and the second CSI depend on the measurements on the first RS resource set.

[0060] According to one aspect of the present application, it is characterized in that the at least first RS resource set includes a first RS resource set and a second RS resource set, the first CSI depends on the measurement on the first RS resource set, and the second CSI depends on the measurement on the second RS resource set.

[0061] According to one aspect of the present application, it is characterized in that the first CSI includes the identification of at least one predicted beam, and the second CSI includes the identification of at least one measured beam; the first accuracy rate, conditional on occupying N first-type resources, includes: the first accuracy rate indicates the accuracy of the at least one predicted beam under the condition that the number of first-type resources occupied by the calculation of the first CSI is not less than N.

[0062] According to one aspect of the present application, it is characterized in that the first CSI includes the identification of at least one predicted beam, and the second CSI includes the identification of at least one measured beam; the first accuracy rate, conditional on occupying N first-type resources, includes: the first accuracy rate indicates the accuracy of the at least one predicted beam under the condition that the number of first-type resources occupied by the calculation of the first CSI is N.

[0063] According to one aspect of the present application, it is characterized in that the first CSI includes at least one predicted RSRP, and the second CSI includes at least one measured RSRP; the first accuracy rate, conditional on occupying N first-type resources, includes: the first accuracy rate indicates the accuracy of the at least one predicted RSRP under the condition that the number of first-type resources occupied by the calculation of the first CSI is not less than N.

[0064] According to one aspect of the present application, it is characterized in that the first CSI includes at least one predicted RSRP, and the second CSI includes at least one measured RSRP; the first accuracy rate, conditional on occupying N first-type resources, includes: the first accuracy rate indicates the accuracy of the at least one predicted RSRP under the condition that the number of first-type resources occupied by the calculation of the first CSI is N.

[0065] According to one aspect of the present application, it is characterized in that it includes:

[0066] Receiving a second information block, the second information block indicating the N.

[0067] According to one aspect of the present application, it is characterized in that it includes:

[0068] Sending a second information block, the second information block indicating the N.

[0069] According to one aspect of the present application, it is characterized in that it includes:

[0070] Receive a third information block, where the third information block indicates N0 first - type resources, and N0 is a positive integer greater than 1; where N is not greater than N0.

[0071] According to one aspect of the present application, each of the N first - type resources includes one or more first - type sub - resources and one or more second - type sub - resources, and at least the first - type sub - resources among the first - type sub - resources and the second - type sub - resources are used for inference.

[0072] According to one aspect of the present application, a base station is characterized in that the base station includes:

[0073] One or more processors and a memory;

[0074] The memory is coupled to the one or more processors, and the memory is used to store computer program code. The computer program code includes computer instructions, and the one or more processors call the computer instructions to cause the base station to execute the method in the second node.

[0075] The present application discloses a first node for wireless communication, which is characterized by including:

[0076] A first receiver that measures on at least a first RS resource set;

[0077] A first transmitter that transmits a first information block, where the first information block includes a first accuracy rate;

[0078] Wherein, the first accuracy rate depends on a first CSI and a second CSI, and at least the first CSI among the first CSI and the second CSI depends on the measurement on the first RS resource set, and the first accuracy rate is conditional on occupying N first - type resources, where N is a positive integer.

[0079] The present application discloses a second node for wireless communication, which is characterized by including:

[0080] A second transmitter that transmits RS on at least a first RS resource set;

[0081] A second receiver that receives a first information block, where the first information block includes a first accuracy rate;

[0082] Wherein, the first accuracy rate depends on a first CSI and a second CSI, and at least the first CSI among the first CSI and the second CSI depends on the measurement on the first RS resource set, and the first accuracy rate is conditional on occupying N first - type resources, where N is a positive integer.

[0083] As an embodiment, compared with the traditional solution, the present application has the following advantages:

[0084] Better assist in the performance monitoring of inference, thereby improving the overall performance of the system;

[0085] Give full play to the advantages of AI or ML-based technologies to improve system performance;

[0086] Improve resource utilization;

[0087] More flexible design, adapting to different terminals and different application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0088] By reading the detailed description of the non-limiting embodiments with reference to the following drawings, other features, objects, and advantages of the present application will become more apparent:

[0089] Figure 1 A flowchart showing at least a first RS resource set and a first information block according to an embodiment of the present application;

[0090] Figure 2 A schematic diagram showing a network architecture according to an embodiment of the present application;

[0091] Figure 3 A schematic diagram showing an embodiment of a radio protocol architecture of a user plane and a control plane according to an embodiment of the present application;

[0092] Figure 4 A schematic diagram showing a first communication device and a second communication device according to an embodiment of the present application;

[0093] Figure 5 A flowchart showing a transmission according to an embodiment of the present application;

[0094] Figure 6 A schematic diagram showing a first CSI-dependent inference according to an embodiment of the present application;

[0095] Figure 7 A schematic diagram showing a first CSI depending on a first operation according to an embodiment of the present application;

[0096] Figure 8 A schematic diagram showing the deployment of a first operation according to an embodiment of the present application;

[0097] Figure 9 A schematic diagram showing the same one or more transmission opportunities of one or more RS resources in a first RS resource set according to an embodiment of the present application;

[0098] Figure 10Schematic diagram showing different one or more transmission opportunities of one or more RS resources in a first RS resource set according to an embodiment of the present application;

[0099] Figure 11 Schematic diagram showing that both the first CSI and the second CSI depend on measurements on the first RS resource set according to an embodiment of the present application;

[0100] Figure 12 Schematic diagram showing different transmission opportunities of RS resources in a first RS resource set according to an embodiment of the present application;

[0101] Figure 13 Schematic diagram showing only partial RS resources and all RS resources in a first RS resource set according to an embodiment of the present application;

[0102] Figure 14 Schematic diagram showing that at least the first RS resource set includes a first RS resource set and a second RS resource set according to an embodiment of the present application;

[0103] Figure 15 Schematic diagram showing that the first accuracy rate is conditional on occupying N first - type resources according to an embodiment of the present application;

[0104] Figure 16 Schematic diagram showing that the first accuracy rate is conditional on occupying N first - type resources according to an embodiment of the present application;

[0105] Figure 17 Schematic diagram showing a second information block according to an embodiment of the present application;

[0106] Figure 18 Schematic diagram showing a second information block according to an embodiment of the present application;

[0107] Figure 19 Schematic diagram showing a third information block according to an embodiment of the present application;

[0108] Figure 20 Schematic diagram showing first - type sub - resources and second - type sub - resources according to an embodiment of the present application;

[0109] Figure 21 Schematic diagram showing that a first - type resource includes first - type sub - resources and second - type sub - resources according to an embodiment of the present application;

[0110] Figure 22 Schematic diagram showing a processing system based on artificial intelligence or machine learning according to an embodiment of the present application;

[0111] Figure 23Shows a schematic diagram based on artificial intelligence or machine learning according to an embodiment of the present application;

[0112] Figure 24 Shows a schematic diagram of the AI function deployment according to an embodiment of the present application;

[0113] Figure 25 Shows a schematic diagram of the AI function deployment according to an embodiment of the present application;

[0114] Figure 26 Shows a schematic diagram of the AI function deployment according to an embodiment of the present application;

[0115] Figure 27 Shows a schematic diagram of the AI function deployment according to an embodiment of the present application;

[0116] Figure 28 Shows a structural block diagram of the processing device in the first node according to an embodiment of the present application;

[0117] Figure 29 Shows a structural block diagram of the processing device in the second node according to an embodiment of the present application. Detailed implementation

[0118] The technical solution of the present application will be further described in detail below with reference to the accompanying drawings. It should be noted that, without conflict, the embodiments and features in the embodiments of the present application can be combined with each other arbitrarily. Considering aspects such as 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 Figure 1 and the embodiments in Figure 5 - Figure 27 in the accompanying drawings, the embodiments in Figure 5 and the embodiments in Figure 6 - Figure 27 in the accompanying drawings, and so on.

[0119] Example 1

[0120] Embodiment 1 exemplifies a flowchart of at least a first RS resource set and a first information block according to an embodiment of the present application, as shown in Figure 1 in the accompanying drawings. In 100 shown in Figure 1 , each box represents a step. In particular, the order of the steps in the box does not represent a specific chronological relationship between the steps.

[0121] In Embodiment 1, in step 101, the first node in the present application measures on at least a first set of RS resources; in step 102, it sends a first information block, where the first information block includes a first accuracy rate; wherein, the first accuracy rate depends on a first CSI and a second CSI, and at least the first CSI among the first CSI and the second CSI depends on the measurement on the first set of RS resources, and the first accuracy rate is conditional on occupying N first type of resources, where N is a positive integer.

[0122] As an embodiment, the at least first set of RS resources includes one or more RS resources.

[0123] As an embodiment, the at least first set of RS resources includes only one RS resource.

[0124] As an embodiment, the at least first set of RS resources includes multiple RS resources.

[0125] As an embodiment, any one of the at least first set of RS resources is a CSI-RS (Channel State Information-Reference Signal) resource.

[0126] As an embodiment, any one of the at least first set of RS resources is an SS / PBCH block (Synchronisation Signal / Physical Broadcast Channel block) resource.

[0127] As an embodiment, any one of the at least first set of RS resources is a CSI-RS resource or an SS / PBCH block resource.

[0128] As an embodiment, any one of the at least first set of RS resources is identified by an NZP-CSI-RS-ResourceId or an SSB-Index.

[0129] As an embodiment, the CSI-RS resources in the at least first set of RS resources are identified by NZP-CSI-RS-ResourceIds.

[0130] As a sub-embodiment of the above embodiment, the CSI-RS resource is an NZP (non-zero-power) CSI-RS resource.

[0131] As an example, the SS / PBCH block resources in the at least first RS resource set are identified by the SSB-Index.

[0132] As an example, each RS resource in the at least first RS resource set is a CSI-RS resource.

[0133] As an example, each RS resource in the at least first RS resource set is a CSI-RS resource, and the at least first RS resource set is identified by an NZP-CSI-RS-ResourceSetId.

[0134] As an example, the at least first RS resource set includes some or all of the CSI-RS resources in the CSI-RS resource set identified by an NZP-CSI-RS-ResourceSetId.

[0135] As an example, each RS resource in the at least first RS resource set is an SS / PBCH block resource.

[0136] As an example, each RS resource in the at least first RS resource set is an SS / PBCH block resource, and the at least first RS resource set is identified by a CSI-SSB-ResourceSetId.

[0137] As an example, the at least first RS resource set includes some or all of the SS / PBCH block resources in the SS / PBCH block resource set identified by a CSI-SSB-ResourceSetId.

[0138] As an example, the at least first RS resource set is configured by higher layer signaling.

[0139] As an example, the at least first RS resource set is configured by RRC (Radio Resource Control) signaling.

[0140] As an example, the at least first RS resource set is configured by at least one RRC IE (Information Element).

[0141] As an example, the at least first RS resource set is configured by an RRC IE whose name includes CSI-MeasConfig.

[0142] As an example, the at least first RS resource set is configured by an RRC IE whose name includes CSI-ReportConfig.

[0143] As an example, the at least first RS resource set is configured by an RRC IE whose name includes CSI-ResourceConfig.

[0144] As an example, the at least first RS resource set is configured by an RRC IE whose name includes NZP-CSI-RS-ResourceSet.

[0145] As an example, the at least first RS resource set is configured by an RRC IE whose name includes CSI-SSB-ResourceSet.

[0146] As an example, the at least first RS resource set only includes the first RS resource set.

[0147] As an example, the first RS resource set includes one or more RS resources.

[0148] As an example, any RS resource in the first RS resource set is a CSI-RS resource or an SS / PBCH block resource.

[0149] As an example, any RS resource in the first RS resource set is a CSI-RS resource.

[0150] As an example, any RS resource in the first RS resource set is an SS / PBCH block resource.

[0151] As an example, the first RS resource set is a CSI-RS resource set or an SS / PBCH block resource set.

[0152] As an example, the first RS resource set is a CSI-RS resource set.

[0153] As an example, the first RS resource set is an SS / PBCH block resource set.

[0154] As an example, the first RS resource set is identified by an NZP-CSI-RS-ResourceSetId or a CSI-SSB-ResourceSetId.

[0155] As an example, the first RS resource set is identified by an NZP-CSI-RS-ResourceSetId.

[0156] As an example, the first RS resource set is identified by a CSI-SSB-ResourceSetId.

[0157] As an example, in addition to the first RS resource set, the at least first RS resource set further includes other RS resource sets.

[0158] As an example, each RS resource set in the at least first RS resource set includes one or more RS resources.

[0159] As an example, any RS resource set in the at least first RS resource set is a CSI-RS resource set or an SS / PBCH block resource set.

[0160] As an example, any RS resource set in the at least first RS resource set is a CSI-RS resource set.

[0161] As an example, any RS resource set in the at least first RS resource set is an SS / PBCH block resource set.

[0162] As an example, any RS resource set in the at least first RS resource set is identified by an NZP-CSI-RS-ResourceSetId or a CSI-SSB-ResourceSetId.

[0163] As an example, the at least first RS resource set includes the first RS resource set and a second RS resource set.

[0164] As an example, the second RS resource set includes one or more RS resources.

[0165] As an example, any RS resource in the second RS resource set is a CSI-RS resource or an SS / PBCH block resource.

[0166] As an example, any RS resource in the second RS resource set is a CSI-RS resource.

[0167] As an example, any RS resource in the second RS resource set is an SS / PBCH block resource.

[0168] As an example, the second RS resource set is a CSI-RS resource set or an SS / PBCH block resource set.

[0169] As an example, the second RS resource set is a CSI-RS resource set.

[0170] As an example, the second RS resource set is an SS / PBCH block resource set.

[0171] As an example, the second RS resource set is identified by an NZP-CSI-RS-ResourceSetId or a CSI-SSB-ResourceSetId.

[0172] As an example, the second RS resource set is identified by an NZP-CSI-RS-ResourceSetId.

[0173] As an example, the second RS resource set is identified by a CSI-SSB-ResourceSetId.

[0174] As an example, the first RS resource set and the second RS resource set are configured by the same RRC IE.

[0175] As an example, the first RS resource set and the second RS resource set are configured by the same CSI-ResourceConfig IE.

[0176] As an example, the first RS resource set and the second RS resource set are respectively configured by two RRC IEs.

[0177] As an example, the first RS resource set and the second RS resource set are respectively configured by two different CSI-ResourceConfig IEs.

[0178] As an example, the measurement on at least the first RS resource set includes: measuring on at least one RS resource in the at least first RS resource set.

[0179] As an example, the measurement on at least the first RS resource set includes: measuring on each RS resource in the at least first RS resource set.

[0180] As an example, the measurement on at least the first RS resource set includes: measuring on only some of the RS resources in the at least first RS resource set.

[0181] As an example, the measurement on at least the first RS resource set includes: measuring on some or all of the transmission occasions of the RS resources in the at least first RS resource set.

[0182] As an example, the measurement on at least the first RS resource set includes: measuring on some or all of the transmission opportunities of each RS resource in the at least the first RS resource set.

[0183] As an example, the measurement on at least the first RS resource set includes: measuring on only some of the transmission opportunities of each RS resource in the at least the first RS resource set.

[0184] As an example, the measurement on at least the first RS resource set includes: measuring on all of the transmission opportunities of each RS resource in the at least the first RS resource set.

[0185] As an example, the measurement on at least the first RS resource set includes: measuring on some or all of the transmission opportunities of only some of the RS resources in the at least the first RS resource set.

[0186] As an example, the measurement on at least the first RS resource set includes: measuring on only some of the transmission opportunities of only some of the RS resources in the at least the first RS resource set.

[0187] As an example, the measurement on at least the first RS resource set includes: measuring on all of the transmission opportunities of only some of the RS resources in the at least the first RS resource set.

[0188] As an example, the measurement includes channel measurement.

[0189] As an example, the measurement refers to channel measurement.

[0190] As an example, the first information block includes UCI (Uplink Control Information).

[0191] As an example, the first information block includes CSI (Channel State Information).

[0192] As an example, the first information block includes HARQ-ACK (Hybrid Automatic Repeat request-Acknowledgement) information.

[0193] As an example, the first information block includes SR (Scheduling Request).

[0194] As an example, the first information block includes the first CSI and the second CSI.

[0195] As an example, the first information block includes the first accuracy rate, the first CSI, and the second CSI.

[0196] As an example, the first information block does not include the first CSI and the second CSI.

[0197] As an example, the advantages of the above method include: reduced overhead.

[0198] As an example, the advantages of the above method include: better flexibility to adapt to different terminals.

[0199] As an example, the first information block is transmitted on the PUSCH (Physical Uplink Shared Channel).

[0200] As an example, the first information block is transmitted on the PUCCH (Physical Uplink Control Channel).

[0201] As an example, the first accuracy rate includes the accuracy of the first (top-1) beam prediction, and the accuracy of the first beam prediction is obtained by comparing the prediction result with the first (top-1) beam obtained based on the measurement of one or more RS resources for monitoring.

[0202] As a sub-example of the above example, the first beam is the first (top-1) strongest beam.

[0203] As an example, the first accuracy rate includes the accuracy of the first K (top-K) beam predictions, and the accuracy of the first K beam predictions is obtained by comparing the prediction result with the first K (top-K) beams obtained based on the measurement of one or more RS resources for monitoring.

[0204] As a sub-example of the above example, the first K beams are the first K (top-K) strongest beams.

[0205] As an example, the first accuracy rate includes difference information of L1-RSRP (Layer 1-Reference Signal Received Power), and the difference information of L1-RSRP is obtained based on the actual measurement of L1-RSRP of one or more predicted beams among the top-K predicted beams and the L1-RSRP measurement from one or more RS resources for monitoring.

[0206] As a sub-example of the above example, the top-K predicted beams are the top-K strongest beams predicted.

[0207] As an example, the first accuracy rate includes RSRP (Reference Signal Received Power) difference information, and the RSRP difference information is the RSRP difference information between the predicted RSRP and the measured L1-RSRP of the corresponding beam in one or more RS resources for monitoring.

[0208] As an example, the first accuracy rate includes probability information that the predicted beam is the first beam.

[0209] As a sub-example of the above example, the first beam is the first (top-1) strongest beam.

[0210] As an example, the first accuracy rate includes probability information that the predicted beam is one of the top-K beams.

[0211] As a sub-example of the above example, the top-K beams are the top-K strongest beams.

[0212] As an example, K is a positive integer.

[0213] As an example, K is a positive integer greater than 1.

[0214] As an example, the difference information includes: difference value.

[0215] As an example, the difference information includes: average value of the difference values.

[0216] As an example, the difference information includes: probability distribution function of the difference values.

[0217] As an example, the difference information includes: the cumulative distribution function of the difference value.

[0218] As an example, the probability information includes: probability.

[0219] As an example, the probability information includes: probability distribution.

[0220] As an example, the probability information includes: percentage.

[0221] As an example, the first CSI includes CRI (CSI-RS Resource Indicator).

[0222] As an example, the first CSI includes SSBRI (SS / PBCH Block Resource Indicator).

[0223] As an example, the first CSI includes RSRP (Reference Signal Received Power).

[0224] As an example, the first CSI includes SINR (Signal-to-Interference-plus-Noise Ratio).

[0225] As an example, the first CSI includes one or more of CRI, SSBRI, RSRP, and SINR.

[0226] As an example, the first CSI includes CRI or SSBRI.

[0227] As an example, the first CSI includes RSRP and includes CRI or SSBRI.

[0228] As an example, the first CSI includes SINR and includes CRI or SSBRI.

[0229] As an embodiment, the first CSI includes one or more of CQI (Channel Quality Indicator), PMI (Precoding Matrix Indicator), LI (Layer Indicator), RI (Rank Indicator), CRI, SSBRI, RSRP, SINR, TDCP (Time Domain Channel Properties), or Capability Index.

[0230] As an embodiment, the first CSI includes a beam.

[0231] As an embodiment, the beam includes at least the identification of the beam.

[0232] As an embodiment, the beam includes the identification of the beam.

[0233] As an embodiment, the beam includes the identification of the beam and the RSRP of the beam.

[0234] As an embodiment, the first CSI includes beam reporting.

[0235] As an embodiment, the first CSI includes at least one RS resource identification.

[0236] As an embodiment, the RS resource identification includes CRI.

[0237] As an embodiment, the RS resource identification includes SSBRI.

[0238] As an embodiment, the RS resource identification includes NZP-CSI-RS-ResourceId.

[0239] As an embodiment, the RS resource identification includes SSB-Index.

[0240] As an embodiment, the RS resource identification is CRI.

[0241] As an embodiment, the RS resource identification is SSBRI.

[0242] As an embodiment, the first CSI includes at least one RSRP.

[0243] As an embodiment, the first CSI includes at least one RS resource identification and at least one RSRP.

[0244] As an example, the RSRP includes L1-RSRP.

[0245] As an example, the RSRP refers to L1-RSRP.

[0246] As an example, the SINR includes L1-SINR.

[0247] As an example, the SINR refers to L1-SINR.

[0248] As an example, the second CSI includes CRI.

[0249] As an example, the second CSI includes SSBRI.

[0250] As an example, the second CSI includes RSRP.

[0251] As an example, the second CSI includes SINR.

[0252] As an example, the second CSI includes one or more of CRI, SSBRI, RSRP, and SINR.

[0253] As an example, the second CSI includes CRI or SSBRI.

[0254] As an example, the second CSI includes RSRP and includes CRI or SSBRI.

[0255] As an example, the second CSI includes SINR and includes CRI or SSBRI.

[0256] As an example, the second CSI includes one or more of CQI, PMI, LI, RI, CRI, SSBRI, RSRP, SINR, TDCP, or CapabilityIndex.

[0257] As an example, the second CSI includes a beam.

[0258] As an example, the second CSI includes beam reporting.

[0259] As an example, the second CSI includes at least one RS resource identifier.

[0260] As an example, the RS resource identifier includes CRI.

[0261] As an example, the RS resource identifier includes SSBRI.

[0262] As an example, the RS resource identifier includes NZP-CSI-RS-ResourceId.

[0263] As an example, the RS resource identifier includes SSB-Index.

[0264] As an example, the RS resource identifier is CRI.

[0265] As an example, the RS resource identifier is SSBRI.

[0266] As an example, the second CSI includes at least one RSRP.

[0267] As an example, the second CSI includes at least one RS resource identifier and at least one RSRP.

[0268] As an example, the first CSI and the second CSI are for the same time-frequency resource.

[0269] As an example, the first CSI includes predicted CSI, and the second CSI includes measured CSI.

[0270] As an example, the predicted CSI includes: CSI for the time slot t obtained based on measurement results on one or more RS resources before the time slot t.

[0271] As an example, the predicted CSI includes: CSI for another RS resource set obtained based on measurement results on one RS resource set.

[0272] As a sub-example of the above example, the one RS resource set and the another RS resource set are different.

[0273] As a sub-example of the above example, the one RS resource set is not a subset of the another RS resource set.

[0274] As a sub-example of the above example, the one RS resource set is a subset of the another RS resource set.

[0275] As an example, the measured CSI includes: CSI for the time slot t obtained based on measurement results on one or more RS resources in the time slot t.

[0276] As an example, the measured CSI includes: CSI for the one RS resource set obtained based on measurement results on the one RS resource set.

[0277] As an example, the predicted CSI includes the identification of the predicted beam.

[0278] As an example, the predicted CSI includes the identification of the predicted strongest beam.

[0279] As an example, the predicted CSI includes the identification of the predicted top K strongest beams.

[0280] As an example, the predicted CSI includes the identification of the predicted beam and includes the predicted RSRP of the predicted beam.

[0281] As an example, the predicted CSI includes the identification of the predicted beam and includes the measured RSRP of the predicted beam.

[0282] As an example, the predicted CSI includes the identification of the predicted strongest beam and includes the predicted RSRP of the predicted strongest beam.

[0283] As an example, the predicted CSI includes the identification of the predicted strongest beam and includes the measured RSRP of the predicted strongest beam.

[0284] As an example, the predicted CSI includes the identification of the predicted top K strongest beams and includes the predicted RSRP of the predicted top K strongest beams.

[0285] As an example, the predicted CSI includes the identification of the predicted top K strongest beams and includes the measured RSRP of the predicted top K strongest beams.

[0286] As an example, the measured CSI includes the identification of the measured beam.

[0287] As an example, the measured CSI includes the identification of the measured strongest beam.

[0288] As an example, the measured CSI includes the identification of the measured top K strongest beams.

[0289] As an example, the measured CSI includes the identification of the measured beam and includes the measured RSRP of the measured beam.

[0290] As an example, the measured CSI includes the identification of the measured strongest beam and includes the measured RSRP of the measured strongest beam.

[0291] As an example, the measured CSI includes the identification of the measured top K strongest beams and includes the measured RSRP of the measured top K strongest beams.

[0292] As an embodiment, the identifier of the beam is an integer.

[0293] As an embodiment, the identifier of the beam is a non - negative integer.

[0294] As an embodiment, the identifier of the beam includes at least one of CRI and SSBRI.

[0295] As an embodiment, the identifier of the beam includes CRI.

[0296] As an embodiment, the identifier of the beam includes SSBRI.

[0297] As an embodiment, the identifier of the beam includes an RS resource identifier.

[0298] As an embodiment, the strongest beam includes the beam with the maximum channel quality.

[0299] As an embodiment, the strongest beam includes the RS resource with the maximum channel quality.

[0300] As an embodiment, the channel quality includes RSRP.

[0301] As an embodiment, the channel quality includes L1 - RSRP.

[0302] As an embodiment, the channel quality includes SINR.

[0303] As an embodiment, the channel quality includes L1 - SINR.

[0304] As an embodiment, the first CSI includes at least one RS resource identifier and at least one channel quality.

[0305] As a sub - embodiment of the above - mentioned embodiment, the at least one RS resource identifier and the at least one channel quality depend on the same one or more transmission opportunities of one or more RS resources in the first RS resource set.

[0306] As a sub - embodiment of the above - mentioned embodiment, the at least one RS resource identifier and the at least one channel quality depend on different one or more transmission opportunities of one or more RS resources in the first RS resource set.

[0307] As an embodiment, the second CSI includes at least one RS resource identifier and at least one channel quality.

[0308] As a sub - embodiment of the above - mentioned embodiment, the at least one RS resource identifier and the at least one channel quality depend on the same one or more transmission opportunities of one or more RS resources.

[0309] As an embodiment, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate depending on the identifier of the predicted beam included in the first CSI and the identifier of the measured beam included in the second CSI.

[0310] As an embodiment, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate depending on the identifier of the predicted strongest beam included in the first CSI and the identifier of the measured strongest beam included in the second CSI.

[0311] As an embodiment, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate depending on the identifiers of the top K predicted strongest beams included in the first CSI and the identifiers of the top K measured strongest beams included in the second CSI.

[0312] As an embodiment, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate depending on the identifier of the predicted beam included in the first CSI, the predicted RSRP of the predicted beam, the identifier of the measured beam included in the second CSI, and the measured RSRP of the measured beam.

[0313] As an embodiment, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate depending on the identifier of the predicted strongest beam included in the first CSI, the predicted RSRP of the predicted strongest beam, the identifier of the measured strongest beam included in the second CSI, and the measured RSRP of the measured strongest beam.

[0314] As an embodiment, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate depending on the identifiers of the top K predicted strongest beams included in the first CSI, the predicted RSRP of the top K predicted strongest beams, the identifiers of the top K measured strongest beams included in the second CSI, and the measured RSRP of the top K measured strongest beams.

[0315] As an embodiment, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate depending on the identifier of the predicted beam included in the first CSI, the measured RSRP of the predicted beam, the identifier of the measured beam included in the second CSI, and the measured RSRP of the measured beam.

[0316] As an example, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate depending on the identifier of the predicted strongest beam included in the first CSI and the measured RSRP of the predicted strongest beam, and the identifier of the measured strongest beam included in the second CSI and the measured RSRP of the measured strongest beam.

[0317] As an example, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate depending on the identifiers of the predicted top K strongest beams included in the first CSI and the measured RSRP of the predicted top K strongest beams, and the identifiers of the measured top K strongest beams included in the second CSI and the measured RSRP of the measured top K strongest beams.

[0318] As an example, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate depending on the probability that the identifier of the predicted strongest beam included in the first CSI is the same as the identifier of the measured strongest beam included in the second CSI.

[0319] As an example, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate depending on the probability that the identifiers of the predicted top K strongest beams included in the first CSI are the same as the identifiers of the measured top K strongest beams included in the second CSI.

[0320] As an example, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate depending on the probability that the identifier of the measured strongest beam included in the second CSI is one of the identifiers of the predicted top K strongest beams included in the first CSI.

[0321] As an example, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate depending on the probability that the identifier of the predicted strongest beam included in the first CSI is one of the identifiers of the measured top K strongest beams included in the second CSI.

[0322] As an example, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate depending on the difference information between the predicted RSRP of the predicted beam included in the first CSI and the measured RSRP of the measured beam included in the second CSI.

[0323] As an example, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate depending on the difference information between the measured RSRP of the predicted beam included in the first CSI and the measured RSRP of the measured beam included in the second CSI.

[0324] As an example, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate is obtained according to the probability that the identifier of the predicted strongest beam included in the first CSI is the same as the identifier of the strongest beam obtained by measurement included in the second CSI.

[0325] As an example, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate is obtained according to the probability that the identifiers of the predicted top K strongest beams included in the first CSI are the same as the identifiers of the top K strongest beams obtained by measurement included in the second CSI.

[0326] As an example, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate is obtained according to the probability that the identifier of the strongest beam obtained by measurement included in the second CSI is one of the identifiers of the predicted top K strongest beams included in the first CSI.

[0327] As an example, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate is obtained according to the probability that the identifier of the predicted strongest beam included in the first CSI is one of the identifiers of the top K strongest beams obtained by measurement included in the second CSI.

[0328] As an example, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate is obtained according to the difference information between the predicted RSRP of the predicted beam included in the first CSI and the measured RSRP of the beam obtained by measurement included in the second CSI.

[0329] As an example, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate is obtained according to the difference information between the measured RSRP of the predicted beam included in the first CSI and the measured RSRP of the beam obtained by measurement included in the second CSI.

[0330] As an example, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate is the probability that the identifier of the predicted strongest beam included in the first CSI is the same as the identifier of the strongest beam obtained by measurement included in the second CSI.

[0331] As an example, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate is the probability that the identifiers of the predicted top K strongest beams included in the first CSI are the same as the identifiers of the top K strongest beams obtained by measurement included in the second CSI.

[0332] As an example, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate is the probability that the identifier of the strongest beam obtained by measurement included in the second CSI is one of the identifiers of the predicted top K strongest beams included in the first CSI.

[0333] As an example, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate is the probability that the identifier of the predicted strongest beam included in the first CSI is one of the identifiers of the top K strongest beams obtained by measurement included in the second CSI.

[0334] As an example, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate is the difference information between the predicted RSRP of the predicted beam included in the first CSI and the measured RSRP of the beam obtained by measurement included in the second CSI.

[0335] As an example, the first accuracy rate depending on the first CSI and the second CSI includes: the first accuracy rate is the difference information between the measured RSRP of the predicted beam included in the first CSI and the measured RSRP of the beam obtained by measurement included in the second CSI.

[0336] As an example, the same identifier of the beam includes the same beam.

[0337] As an example, the same identifier of the beam means the same beam.

[0338] As an example, the same identifier of the beam means the same beam.

[0339] As an example, at least the first CSI among the first CSI and the second CSI depends on the measurement on the first RS resource set.

[0340] As an example, both the first CSI and the second CSI depend on the measurement on the first RS resource set.

[0341] As an example, the first CSI depends on the measurement on the first RS resource set, and the second CSI depends on the measurement on a RS resource set other than the first RS resource set among at least the first RS resources.

[0342] As an example, the first CSI depends on the measurement on the first RS resource set, and the second CSI depends on the measurement on the second RS resource set.

[0343] As an example, the first type of resources includes a storage unit.

[0344] As an example, the first type of resources includes processing units or computing units.

[0345] As an example, the first type of resources includes storage units and processing units.

[0346] As an example, the first type of resources includes storage units and computing units.

[0347] As an example, the first type of resources includes CSI processing units.

[0348] As an example, the first type of resources is different from CSI processing units.

[0349] As an example, the first type of resources includes CSI processing units and resources different from CSI processing units.

[0350] As an example, the first type of resources is used for storage.

[0351] As an example, the first type of resources is used for computing or processing.

[0352] As an example, the first type of resources is used for storage and computing.

[0353] As an example, the first type of resources is used for storage and processing.

[0354] As an example, the first type of resources is used for CSI processing.

[0355] As an example, the first type of resources is used for the storage required for inference.

[0356] As an example, the first type of resources is used for the computing or processing required for inference.

[0357] As an example, the first type of resources is used for the storage required for inference and the computing or processing required for inference.

[0358] As an example, the first type of resources is used for processing that does not include inference.

[0359] As an example, the first type of resources is used for CSI processing that does not include inference.

[0360] As an example, the first type of resources is only used for inference.

[0361] As an example, the first type of resources is used for inference and processing that does not include inference.

[0362] As an example, the first type of resources are not used for processing that does not include inference.

[0363] As an example, the occupation of a first type of resource includes: the first type of resource is not idle.

[0364] As an example, the occupation of a first type of resource includes: the first type of resource is occupied for inference.

[0365] As an example, the occupation of a first type of resource includes: the first type of resource is occupied for the calculation or processing required for inference.

[0366] As an example, the occupation of a first type of resource includes: the first type of resource is occupied for the storage required for inference.

[0367] As an example, the occupation of a first type of resource includes: the first type of resource is occupied to provide the storage required for inference and the calculation or processing required for inference.

[0368] As an example, the occupation of a first type of resource includes: the first type of resource has been used for inference.

[0369] As an example, the occupation of a first type of resource includes: the first type of resource has been used for the calculation or processing required for inference.

[0370] As an example, the occupation of a first type of resource includes: the first type of resource has been used for the storage required for inference.

[0371] As an example, the occupation of a first type of resource includes: the first type of resource has been used for the storage required for inference and the calculation or processing required for inference.

[0372] As an example, the non - occupation of a first type of resource includes that the first type of resource is idle.

[0373] As an example, the non - occupation of a first type of resource includes that the first type of resource is not occupied for inference.

[0374] As an example, the non - occupation of a first type of resource includes that the first type of resource is not occupied for the calculation or processing required for inference.

[0375] As an example, the non - occupation of a first type of resource includes that the first type of resource is not occupied for the storage required for inference.

[0376] As an example, the non - occupation of a first - type resource includes that the first - type resource is not occupied for the storage required for inference and the calculation or processing required for inference.

[0377] As an example, the non - occupation of a first - type resource includes that the first - type resource has not been used for inference.

[0378] As an example, the non - occupation of a first - type resource includes that the first - type resource has not been used for the calculation or processing required for inference.

[0379] As an example, the non - occupation of a first - type resource includes that the first - type resource has not been used for the storage required for inference.

[0380] As an example, the non - occupation of a first - type resource includes that the first - type resource has not been used for the storage required for inference and the calculation or processing required for inference.

[0381] As an example, if a first - type resource is occupied, the first - type resource cannot be used for new inference requirements; if a first - type resource is not occupied, the first - type resource can be used for new inference requirements.

[0382] As an example, the first accuracy rate conditional on occupying N first - type resources includes: the first accuracy rate indicates the accuracy of at least one predicted beam under the condition that the number of the first - type resources occupied by the calculation of the first CSI is not less than N.

[0383] As an example, the first accuracy rate conditional on occupying N first - type resources includes: the first accuracy rate indicates the accuracy of at least one predicted beam under the condition that the number of the first - type resources occupied by the calculation of the first CSI is N.

[0384] As an example, the first accuracy rate conditional on occupying N first - type resources includes: the first accuracy rate indicates the accuracy of at least one predicted RSRP under the condition that the number of the first - type resources occupied by the calculation of the first CSI is not less than N.

[0385] As an example, the first accuracy rate conditional on occupying N first - type resources includes: the first accuracy rate indicates the accuracy of at least one predicted RSRP under the condition that the number of the first - type resources occupied by the calculation of the first CSI is N.

[0386] Example 2

[0387] Example 2 illustrates a schematic diagram of a network architecture according to an embodiment of the present application, as shown in the attached Figure 2 figure.

[0388] The attached 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 switching 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 switching 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 a 5GC (5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is a 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 a Mobility Management Entity (MME) / Authentication Management Field (AMF) / Session Management Function (SMF) 211, other MME / AMF / SMFs 214, a Service Gateway (S-GW) / User Plane Function (UPF) 212, and a Packet Date Network Gateway (P-GW) / 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 Internet Protocol (IP) 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 the operator's corresponding Internet protocol services, specifically including the Internet, intranet, IP Multimedia Subsystem (IMS), and packet switching services.

[0389] As an embodiment, the first node in the present application includes the UE 201.

[0390] As an embodiment, the second node in the present application includes the node 203.

[0391] As an example, the radio link between the UE 201 and the node 203 includes a cellular network link.

[0392] As an example, the sender of the first information block includes the UE 201.

[0393] As an example, the receiver of the first information block includes the node 203.

[0394] As an example, the sender of the second information block includes the UE 201.

[0395] As an example, the receiver of the second information block includes the node 203.

[0396] As an example, the sender of the second information block includes the node 203.

[0397] As an example, the receiver of the second information block includes the UE 201.

[0398] As an example, the sender of the third information block includes the UE 201.

[0399] As an example, the receiver of the third information block includes the node 203.

[0400] As an example, the UE 201 supports operations based on AI or ML.

[0401] As an example, the node 203 supports operations based on AI or ML.

[0402] Example 3

[0403] Example 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.

[0404] Example 3 shows a schematic diagram of an embodiment of the radio protocol architecture of a user plane and a control plane according to an embodiment of 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 document. 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 generally 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. 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) that terminates at the P-GW on the network side and an application layer that terminates at the other end of the connection (e.g., a remote UE, server, etc.).

[0405] As an example, the Figure 3 radio protocol architecture in

[0406] As an example, the Figure 3 radio protocol architecture in

[0407] As an example, the higher layers in this application refer to the layers above the physical layer.

[0408] As an example, the first information block is generated in the PHY301 or the PHY351.

[0409] As an example, the second information block is generated in the RRC sub-layer 306.

[0410] As an example, the second information block is generated in the MAC sub-layer 302 or the MAC sub-layer 352.

[0411] As an example, the third information block is generated in the RRC sub-layer 306.

[0412] As an example, the third information block is generated in the SDAP sub-layer 356.

[0413] As an example, the third information block is generated in the PDCP sub-layer 354.

[0414] As an example, the third information block is generated in the RLC sub-layer 353.

[0415] As an example, the first CSI is generated in the PHY301 or the PHY351.

[0416] As an example, the second CSI is generated in the PHY301 or the PHY351.

[0417] Example 4

[0418] Example 4 illustrates a schematic diagram of a first communication device and a second communication device according to an embodiment of the present application, as shown in the appendix Figure 4 as follows. 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.

[0419] 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.

[0420] 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.

[0421] In the transmission from the first communication device 410 to the second communication device 450, at the first communication device 410, upper layer data packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements the functionality of the L2 layer. In the DL (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.

[0422] 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 via its respective 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 perform 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 is recovered in the multi-antenna receive processor 458 for any parallel streams destined for the second communication device 450 after multi-antenna detection. 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 performs 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 channels, packet reassembly, decryption, header decompression, control signal processing to recover 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.

[0423] In the transmission from the second communication device 450 to the first communication device 410, at the second communication device 450, the data source 467 is used to provide upper layer data packets to the controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmit function at the first communication device 410 described in DL, the controller / processor 459 performs 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 performs the L2 layer functions for the user plane and the control plane. The controller / processor 459 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the first communication device 410. The transmit processor 468 performs modulation mapping and channel coding processing. The 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 passing through the analog precoding / beamforming operations in the multi-antenna transmit processor 457, provides them to different antennas 452 via the 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.

[0424] 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 the multi-antenna receive processor 472 and the receive processor 470. The receive processor 470 and the multi-antenna receive processor 472 jointly perform the functions of the L1 layer. The controller / processor 475 performs 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 the transport and logical channels, packet reassembly, decryption, header decompression, and control signal processing to recover the upper layer data packets from the second communication device 450. The upper layer data packets from the controller / processor 475 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.

[0425] As an example, 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 with the at least one processor. The second communication device 450 is at least configured to: measure on at least a first set of RS resources; send a first information block, the first information block including a first accuracy rate; wherein, the first accuracy rate depends on a first CSI and a second CSI, and at least the first CSI of the first CSI and the second CSI depends on the measurement on the first set of RS resources, and the first accuracy rate is conditional on occupying N first-class resources, where N is a positive integer.

[0426] As an example, 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: measuring on at least a first set of RS resources; sending a first information block, the first information block including a first accuracy rate; wherein, the first accuracy rate depends on a first CSI and a second CSI, and at least the first CSI of the first CSI and the second CSI depends on the measurement on the first set of RS resources, and the first accuracy rate is conditional on occupying N first-class resources, where N is a positive integer.

[0427] 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: send RS on at least a first set of RS resources; receive a first information block, the first information block including a first accuracy rate; wherein, the first accuracy rate depends on a first CSI and a second CSI, and at least the first CSI of the first CSI and the second CSI depends on the measurement on the first set of RS resources, and the first accuracy rate is conditional on occupying N first-class resources, where N is a positive integer.

[0428] 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: sending RS on at least a first set of RS resources; receiving a first information block, the first information block including a first accuracy rate; wherein, the first accuracy rate depends on a first CSI and a second CSI, and at least the first CSI of the first CSI and the second CSI depends on the measurement on the first set of RS resources, and the first accuracy rate is conditional on occupying N first-class resources, where N is a positive integer.

[0429] As an example, the first node in the present application includes the second communication device 450.

[0430] As an example, the second node in the present application includes the first communication device 410.

[0431] As an example, at least one of {the antenna 452, the receiver 454, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is used to measure on at least the first RS resource set in the present application; at least one of {the antenna 420, the transmitter 418, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, the memory 476} is used to send RS on at least the first RS resource set in the present application.

[0432] As an example, at least one of {the antenna 452, the receiver 454, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is used to receive the second information block in the present application; at least one of {the antenna 420, the transmitter 418, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, the memory 476} is used to send the second information block in the present application.

[0433] As an example, at least one of {the antenna 452, the transmitter 454, the transmit processor 468, the multi-antenna transmit processor 457, the controller / processor 459, the memory 460} is used to send the first information block in the present application; at least one of {the antenna 420, the receiver 418, the receive processor 470, the multi-antenna receive processor 472, the controller / processor 475, the memory 476} is used to receive the first information block in the present application.

[0434] As an example, at least one of {the antenna 452, the transmitter 454, the transmit processor 468, the multi-antenna transmit processor 457, the controller / processor 459, the memory 460} is used to send the second information block in the present application; at least one of {the antenna 420, the receiver 418, the receive processor 470, the multi-antenna receive processor 472, the controller / processor 475, the memory 476} is used to receive the second information block in the present application.

[0435] As an embodiment, 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} is used to transmit the third information block in the present application; 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 third information block in the present application.

[0436] Example 5

[0437] Embodiment 5 exemplifies a flowchart of a transmission according to an embodiment of the present application, as shown in the appendix Figure 5 as shown. In the appendix Figure 5 , the first node U01 and the second node N02 are respectively two communication nodes transmitted through the air interface, where the steps in the dashed boxes F51, F52, F53, and F54 are optional.

[0438] For First node U01 , a first operation is deployed in step S5101; a second information block is received in step S5102; a third information block is transmitted in step S5103; measurements are made on at least a first RS resource set in step S5104; a second information block is transmitted in step S5105; and a first information block is transmitted in step S5106.

[0439] For Second node N02 , a second information block is transmitted in step S5201; a third information block is received in step S5202; RS is transmitted on at least a first RS resource set in step S5203; a second information block is received in step S5204; and a first information block is received in step S5205.

[0440] In Embodiment 5, the first information block includes a first accuracy rate; the first accuracy rate depends on the first CSI and the second CSI, and at least the first CSI of the first CSI and the second CSI depends on the measurement on the first RS resource set; the first accuracy rate is conditional on occupying N first-type resources, where N is a positive integer.

[0441] As an embodiment, the first node U01 is the first node in the present application.

[0442] As an embodiment, the second node N02 is the second node in the present application.

[0443] As an embodiment, the air interface between the second node N02 and the first node U01 includes a wireless interface between a base station device and a user equipment.

[0444] As an embodiment, the air interface between the second node N02 and the first node U01 includes a wireless interface between a relay node device and a user equipment.

[0445] As an embodiment, the air interface between the second node N02 and the first node U01 includes a wireless interface between user equipments.

[0446] As an embodiment, the second node N02 is a serving cell maintenance base station of the first node U01.

[0447] As an embodiment, the second node N02 includes a network device.

[0448] As an embodiment, the second node N02 includes an OTT server (Over-The-Top server).

[0449] As an embodiment, the second node N02 includes an OAM (Operation Administration and Maintenance).

[0450] As an embodiment, the second node N02 includes a NAS device.

[0451] As an embodiment, the second node N02 includes a core network device.

[0452] As an embodiment, where the steps in the dashed box F51 exist, the first operation needs to be deployed.

[0453] As an embodiment, where the steps in the dashed box F51 do not exist, the first operation does not need to be deployed.

[0454] As an embodiment, where the steps in the dashed box F51 exist, the method in the first node for wireless communication includes: deploying the first operation.

[0455] As an embodiment, neither the steps in the dashed boxes F52 and F54 exist.

[0456] As an embodiment, only one of the steps in the dashed boxes F52 and F54 exists.

[0457] As an example, the steps in the dashed box F52 exist and the steps in the dashed box F54 do not exist. The method in the first node for wireless communication includes: receiving a second information block, where the second information block indicates the N.

[0458] As an example, the steps in the dashed box F52 exist and the steps in the dashed box F54 do not exist. The method in the second node for wireless communication includes: sending a second information block, where the second information block indicates the N.

[0459] As an example, the second information block is transmitted on the PDSCH.

[0460] As an example, the steps in the dashed box F52 do not exist and the steps in the dashed box F54 exist. The method in the first node for wireless communication includes: sending a second information block, where the second information block indicates the N.

[0461] As an example, the steps in the dashed box F52 do not exist and the steps in the dashed box F54 exist. The method in the second node for wireless communication includes: receiving a second information block, where the second information block indicates the N.

[0462] As an example, the second information block is transmitted on the PUCCH.

[0463] As an example, the second information block is transmitted on the PUSCH.

[0464] As an example, the steps in the dashed box F53 do not exist.

[0465] As an example, the steps in the dashed box F53 exist.

[0466] As an example, the steps in the dashed box F53 exist. The method in the first node for wireless communication includes: sending a third information block, where the third information block indicates N0 first - type resources, and N0 is a positive integer greater than 1; where, the N is not greater than the N0.

[0467] As an example, the steps in the dashed box F53 exist. The method in the second node for wireless communication includes: receiving a third information block, where the third information block indicates N0 first - type resources, and N0 is a positive integer greater than 1; where, the N is not greater than the N0.

[0468] As an example, the third information block is transmitted on the PUSCH.

[0469] As an example, the first node measures on at least one RS resource in the at least first RS resource set.

[0470] As an example, the first node measures on each RS resource in the at least first RS resource set.

[0471] As an example, the first node measures on only some of the RS resources in the at least first RS resource set.

[0472] As an example, the second node transmits RS on at least one RS resource in the at least first RS resource set.

[0473] As an example, the second node transmits RS on each RS resource in the at least first RS resource set.

[0474] As an example, the second node transmits RS on only some of the RS resources in the at least first RS resource set.

[0475] As an example, the at least first RS resource set only includes the first RS resource set, and both the first CSI and the second CSI rely on the measurement on the first RS resource set.

[0476] As an example, the at least first RS resource set includes a first RS resource set and a second RS resource set, the first CSI relies on the measurement on the first RS resource set, and the second CSI relies on the measurement on the second RS resource set.

[0477] As an example, the first CSI relies on inference.

[0478] As an example, the first CSI includes the identification of at least one predicted beam, and the second CSI includes the identification of at least one measured beam; the first accuracy rate includes, on the condition of occupying N first - type resources: the first accuracy rate indicates the accuracy of the at least one predicted beam on the condition that the number of first - type resources occupied by the calculation of the first CSI is not less than N.

[0479] As an example, the first CSI includes the identification of at least one predicted beam, and the second CSI includes the identification of at least one measured beam; the first accuracy rate includes, on the condition of occupying N first - type resources: the first accuracy rate indicates the accuracy of the at least one predicted beam on the condition that the number of first - type resources occupied by the calculation of the first CSI is N.

[0480] As an embodiment, the first CSI includes at least one predicted RSRP, and the second CSI includes at least one measured RSRP; the first accuracy rate, on the condition of occupying N first-type resources, includes: the first accuracy rate indicates the accuracy of the at least one predicted RSRP on the condition that the number of first-type resources occupied by the calculation of the first CSI is not less than N.

[0481] As an embodiment, the first CSI includes at least one predicted RSRP, and the second CSI includes at least one measured RSRP; the first accuracy rate, on the condition of occupying N first-type resources, includes: the first accuracy rate indicates the accuracy of the at least one predicted RSRP on the condition that the number of first-type resources occupied by the calculation of the first CSI is N.

[0482] As an embodiment, each of the N first-type resources includes one or more first-type sub-resources and one or more second-type sub-resources, and at least the first-type sub-resources among the first-type sub-resources and the second sub-resources are used for inference.

[0483] As an embodiment, the first information block is transmitted on the PUCCH.

[0484] As an embodiment, the first information block is transmitted on the PUSCH.

[0485] As an embodiment, the steps in the dashed box F52 exist, and the steps in the dashed box F54 do not exist, and the reception of the second information block is earlier than the transmission of the third information block.

[0486] As an embodiment, the steps in the dashed box F52 exist, and the steps in the dashed box F54 do not exist, and the reception of the second information block is later than the transmission of the third information block.

[0487] As an embodiment, the steps in the dashed box F52 do not exist, and the steps in the dashed box F54 exist, and the transmission of the second information block is earlier than the transmission of the first information block.

[0488] As an embodiment, the steps in the dashed box F52 do not exist, and the steps in the dashed box F54 exist, and the transmission of the second information block is later than the transmission of the first information block.

[0489] As an embodiment, the steps in the dashed box F52 do not exist, and the steps in the dashed box F54 exist, and the second information block and the first information block are transmitted together.

[0490] As an example, the steps in the dashed box F52 do not exist, the steps in the dashed box F54 exist, and the second information block and the first information block are sent simultaneously.

[0491] As an example, the steps in the dashed box F52 do not exist, the steps in the dashed box F54 exist, and the transmission of the second information block is earlier than the measurement on the at least first RS resource set.

[0492] As an example, the steps in the dashed box F52 do not exist, the steps in the dashed box F54 exist, and the transmission of the second information block is later than the measurement on the at least first RS resource set.

[0493] As an example, the first information block and the second information block are transmitted on different physical layer channels respectively.

[0494] As an example, the first information block and the second information block are transmitted on the same physical layer channel.

[0495] Example 6

[0496] Embodiment 6 exemplifies a schematic diagram of the first CSI-dependent inference according to an embodiment of the present application; as shown in the appendix Figure 6 as shown.

[0497] In Embodiment 6, the first CSI-dependent inference.

[0498] As an example, only the first CSI-dependent inference among the first CSI and the second CSI.

[0499] As an example, the calculation-dependent inference of the first CSI.

[0500] As an example, the processing-dependent inference of the first CSI.

[0501] As an example, the result of the first CSI-dependent inference.

[0502] As an example, the output of the first CSI-dependent inference.

[0503] As an example, the output of the inference includes the first CSI.

[0504] As an example, the first CSI includes the output of the inference.

[0505] As an example, the first CSI includes the post-processed output of the inference.

[0506] As an example, the first CSI includes the truncated and / or quantized output of the inference.

[0507] As an example, the output of the inference is used to generate the first CSI.

[0508] As an example, after post-processing the output of the inference, it is used to generate the first CSI.

[0509] As an example, after truncating and / or quantizing the output of the inference, it is used to generate the first CSI.

[0510] As an example, part or all of the output of the inference, after post-processing, is used to generate the first CSI.

[0511] As an example, part or all of the output of the inference, after truncating and / or quantizing, is used to generate the first CSI.

[0512] As an example, the post-processing includes quantization.

[0513] As an example, the post-processing includes truncation.

[0514] As an example, the post-processing includes DFT (Discrete Fourier Transform).

[0515] As an example, the post-processing includes one or more of a transformation from the angular domain to the spatial domain, a transformation from the spatial domain to the angular domain, a transformation from the time domain to the frequency domain, and a transformation from the frequency domain to the time domain.

[0516] As a preferred example, the first type of resource is used for inference.

[0517] As an example, the first type of resource is used for the storage required for inference.

[0518] As an example, the first type of resource is used for the calculation or processing required for inference.

[0519] As an example, the first type of resource is used for the storage required for inference and the calculation or processing required for inference.

[0520] As an example, the first type of resource is used for processing that does not include inference.

[0521] As an example, the first type of resource is used for CSI processing that does not include inference.

[0522] As an example, the first type of resource is only used for inference.

[0523] As an example, the first type of resources is used for inference and processing that does not include inference.

[0524] As an example, the inference refers to AI (Artificial Intelligence) inference.

[0525] As an example, the inference refers to ML (Machine Learning) inference.

[0526] As an example, the inference refers to AI inference or ML inference.

[0527] As an example, the inference is used for one or more of CSI compression, CSI prediction, and beam management.

[0528] As an example, the inference is used for data reception.

[0529] As an example, the inference is used for downlink data reception.

[0530] As an example, the inference is used for PDSCH (Physical Downlink Shared Channel) reception.

[0531] As an example, the inference is used for one or more of channel estimation, MIMO (Multiple Input Multiple Output) reception, demodulation, channel decoding, and CRC (Cyclic Redundancy Check) check.

[0532] As an example, the inference is used for positioning.

[0533] As an example, the inference is used for scheduling.

[0534] As an example, the inference is used for semantic-based error correction.

[0535] Example 7

[0536] Example 7 illustrates a schematic diagram of a first CSI depending on a first operation according to an embodiment of the present application; as shown in the appendix Figure 7 as shown.

[0537] In Example 7, the first CSI depends on a first operation, and the first operation includes inference.

[0538] As an example, only the first CSI among the first CSI and the second CSI depends on the first operation.

[0539] As an example, the calculation of the first CSI depends on the first operation.

[0540] As an example, the processing of the first CSI depends on the first operation.

[0541] As an example, the first CSI depends on the output of the first operation.

[0542] As an example, the output of the first operation includes the first CSI.

[0543] As an example, the first CSI includes the output of the first operation.

[0544] As an example, the first CSI includes all or part of the output of the first operation.

[0545] As an example, the first CSI includes the post-processed output of the first operation.

[0546] As an example, the first CSI includes all or part of the post-processed output of the first operation.

[0547] As an example, the first CSI includes the output of the first operation that has been truncated and / or quantized.

[0548] As an example, the first CSI includes all or part of the output of the first operation that has been truncated and / or quantized.

[0549] As an example, the output of the first operation is used to generate the first CSI.

[0550] As an example, after the output of the first operation is post-processed, it is used to generate the first CSI.

[0551] As an example, after the output of the first operation is truncated and / or quantized, it is used to generate the first CSI.

[0552] As an example, part or all of the output of the first operation is post-processed and then used to generate the first CSI.

[0553] As an example, part or all of the output of the first operation is truncated and / or quantized and then used to generate the first CSI.

[0554] As an example, the post-processing includes quantization.

[0555] As an example, the post - processing includes truncation.

[0556] As an example, the post - processing includes DFT.

[0557] As an example, the post - processing includes one or more of quantization, shortening, puncturing, matrix decomposition, domain transformation, and DFT.

[0558] As an example, the domain transformation includes one or more of transformation from the angular domain to the spatial domain, transformation from the spatial domain to the angular domain, transformation from the time domain to the frequency domain, transformation from the frequency domain to the time domain, transformation from the delay domain to the frequency domain, transformation from the frequency domain to the delay domain, transformation from the Doppler domain to the time domain, and transformation from the time domain to the Doppler domain.

[0559] As an example, the input of the first operation depends on the measurement in the first RS resource set.

[0560] As an example, the input of the first operation depends on the channel measurement in the first RS resource set.

[0561] As an example, the input of the first operation includes the measurement obtained based on the first RS resource set.

[0562] As an example, the input of the first operation includes the channel measurement obtained based on the first RS resource set.

[0563] As an example, the input of the first operation includes the channel measurement obtained based on at least one RS resource in the first RS resource set.

[0564] As an example, the input of the first operation includes the channel measurement obtained based on each RS resource in the first RS resource set.

[0565] As an example, the input of the first operation includes the channel measurement obtained based on only some of the RS resources in the first RS resource set.

[0566] As an example, the input of the first operation includes the channel measurement obtained based on some or all of the transmission opportunities of the RS resources in the first RS resource set.

[0567] As an example, the input of the first operation includes the channel measurement obtained based on some or all of the transmission opportunities of each RS resource in the first RS resource set.

[0568] As an example, the input of the first operation includes channel measurements obtained based on only partial transmission opportunities of each RS resource in the first RS resource set.

[0569] As an example, the input of the first operation includes channel measurements obtained based on all transmission opportunities of each RS resource in the first RS resource set.

[0570] As an example, the input of the first operation includes channel measurements obtained based on partial or all transmission opportunities of only partial RS resources in the first RS resource set.

[0571] As an example, the input of the first operation includes channel measurements obtained based on only partial transmission opportunities of only partial RS resources in the first RS resource set.

[0572] As an example, the input of the first operation includes channel measurements obtained based on all transmission opportunities of only partial RS resources in the first RS resource set.

[0573] As an example, the input of the first operation includes channel information obtained based on measurements of the first RS resource set.

[0574] As an example, the channel information includes CSI.

[0575] As an example, the channel information includes one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, Capability Index, and TDCP.

[0576] As an example, the channel information includes channel impulse response.

[0577] As an example, the channel information includes small-scale characteristics.

[0578] As an example, the channel information includes one or more of delay spread, Doppler spread, Doppler shift, average delay, and average gain.

[0579] As an example, the channel information includes channel matrix.

[0580] As an example, the channel information includes precoding matrix.

[0581] As an example, the channel information includes beam.

[0582] As an example, the input of the first operation includes preprocessed channel information obtained based on measurements of the first set of RS resources.

[0583] As an example, the preprocessing includes one or more of matrix decomposition, domain transformation, DFT, quantization, shortening, and puncturing.

[0584] As an example, the domain transformation includes one or more of transformation from the angular domain to the spatial domain, transformation from the spatial domain to the angular domain, transformation from the time domain to the frequency domain, transformation from the frequency domain to the time domain, transformation from the delay domain to the frequency domain, transformation from the frequency domain to the delay domain, transformation from the Doppler domain to the time domain, and transformation from the time domain to the Doppler domain.

[0585] As an example, the first operation is training-based.

[0586] As an example, the first operation is obtained through training.

[0587] As an example, the models of the first operation are all obtained through training.

[0588] As an example, the training of the first operation is performed by the first node.

[0589] As an example, the training of the first operation is performed by the serving cell of the first node.

[0590] As an example, the training of the first operation is performed by the core network.

[0591] As an example, the training of the first operation is performed by the MDA function (Management Data Analytics Function).

[0592] As an example, the training of the first operation is performed by the NWDAF (Network Data Analytics Function).

[0593] As an example, the training of the first operation is performed by the producer of the MDAS (Management Data Analytics Service).

[0594] As an example, the training of the first operation is performed by the producer of the MnS (Management Service).

[0595] As an example, the first operation includes inference.

[0596] As an example, the first operation is inference.

[0597] As an example, the first operation includes an AI entity.

[0598] As an example, the first operation includes a part for inference in an AI entity.

[0599] As an example, the first operation is performed by an AI entity or an AI function.

[0600] As an example, the first operation is performed by an AI entity or an AI function deployed on the first node.

[0601] As an example, the AI function includes an AI inference function.

[0602] As an example, the AI function includes an AI training function.

[0603] As an example, the AI function includes an AI management function.

[0604] As an example, the AI includes ML.

[0605] As an example, the AI includes AI and ML.

[0606] As an example, the AI includes AI or ML.

[0607] As an example, the first operation is based on artificial intelligence or machine learning.

[0608] As an example, the first operation is based on a Neural Network.

[0609] As an example, the first operation includes inference for CSI.

[0610] As an example, the first operation includes inference for data reception.

[0611] As an example, the first operation includes inference for positioning.

[0612] As an example, the first operation includes inference for scheduling.

[0613] As an example, the first operation includes an inference for semantic-based error correction.

[0614] As an example, the output of the first operation includes channel information.

[0615] As an example, the channel information includes CSI.

[0616] As an example, the channel information includes one or more of CQI, PMI, CRI, LI, RI, SSBRI, RSRP, SINR, a capability index, and TDCP.

[0617] As an example, the channel information includes compressed CSI.

[0618] As an example, the channel information includes predicted CSI.

[0619] As an example, the channel information includes a channel matrix.

[0620] As an example, the channel information includes a precoding matrix.

[0621] As an example, the output of the first operation includes location information.

[0622] As an example, the output of the first operation includes a recovered TB (Transport Block) or CB (Code Block).

[0623] As an example, the output of the first operation includes a scheduling result.

[0624] As an example, the output of the first operation includes recovered modulation symbols.

[0625] As an example, the first operation requires deployment.

[0626] As an example, the first operation is obtained by loading.

[0627] As an example, the first operation does not require deployment.

[0628] As an example, the first type of resource is used to perform the first operation.

[0629] As an example, the execution of the first operation occupies the first type of resource.

[0630] As an example, the first operation includes multiple sub-operations. One execution of the first operation may include the execution of all or some of the multiple sub-operations. When one execution of the first operation includes the execution of different sub-operations among the multiple sub-operations, the quantity of the first type of resources occupied by the one execution is different.

[0631] As an example, the more sub-operations are included in one execution of the first operation, the greater the quantity of the first type of resources occupied by the one execution.

[0632] As an example, when one execution of the first operation includes the execution of different sub-operations among the multiple sub-operations, the performance achieved by the one execution is different.

[0633] As an example, when one execution of the first operation includes the execution of different quantities of sub-operations, the performance achieved by the one execution is different.

[0634] As an example, the more sub-operations are included in one execution of the first operation, the better the performance achieved by the one execution.

[0635] As an example, the performance of inference significantly improves as the number of parameters of the AI or ML model increases. The greater the number of parameters, the greater the computational amount and storage space required for inference. Therefore, there is a mutually restrictive relationship between the performance of inference and resource occupation. The above method provides options for different inference performances and resource occupations for the first operation, making the system more flexible, more efficient, and more robust.

[0636] As an example, there is a sub-operation among the multiple sub-operations that includes at least one convolutional layer.

[0637] As an example, there is a sub-operation among the multiple sub-operations that includes at least one encoding layer.

[0638] As an example, there are two sub-operations among the multiple sub-operations that respectively include a fully connected layer and at least one encoding layer.

[0639] As an example, an encoding layer includes at least one convolutional layer and one pooling layer.

[0640] As an example, in the convolutional layer, at least one convolutional kernel is used to perform convolution on the input of the first operation to generate a corresponding feature map. At least one feature map output by the convolutional layer is reshaped into a vector and input to the fully connected layer. The fully connected layer converts the one vector into the output of the first operation.

[0641] As an embodiment, at least two of the multiple sub-operations respectively include at least one convolutional layer or respectively include at least one encoding layer.

[0642] As a sub-embodiment of the above embodiment, any execution of the first operation must include some or all of the at least two sub-operations.

[0643] As a sub-embodiment of the above embodiment, one execution of the first operation may include only some of the at least two sub-operations.

[0644] As an embodiment, one of the multiple sub-operations includes a fully connected layer, and any execution of the first operation must include the one sub-operation including the fully connected layer.

[0645] Example 8

[0646] Embodiment 8 exemplifies a schematic diagram of deploying the first operation according to an embodiment of the present application; as shown in the appendix Figure 8 as shown.

[0647] In Embodiment 8, the first node sends a request to the first producer to load the first operation, and obtains the first operation from the first producer.

[0648] As an embodiment, the first operation needs to be deployed.

[0649] As an embodiment, the deployment includes obtaining the first operation.

[0650] As an embodiment, the deployment includes obtaining an AI entity.

[0651] As an embodiment, the deployment includes obtaining an AI entity that executes the first operation.

[0652] As an embodiment, the deployment includes obtaining an AI entity that includes an AI function for executing the first operation.

[0653] As an embodiment, the deployment includes obtaining an AI function.

[0654] As an embodiment, the deployment includes obtaining an AI function for executing the first operation.

[0655] As an embodiment, the deployment includes loading the first operation.

[0656] As an embodiment, the deployment includes sending a request to load the first operation.

[0657] As an example, the request in Figure 8 is the request for loading the first operation made by the first node.

[0658] As an example, the response in Figure 8 is the response to the request for loading the first operation made by the first node.

[0659] As an example, the first node obtains the first operation through the response in Figure 8

[0660] As an example, the first node obtains the model of the first operation through the response in Figure 8

[0661] As an example, the first node obtains the AI entity including the AI function for executing the first operation through the response in Figure 8

[0662] As an example, the first node obtains the AI function for executing the first operation through the response in Figure 8

[0663] As an example, the first producer provides the first operation to the first node through the response in Figure 8

[0664] As an example, the first producer provides the model of the first operation to the first node through the response in Figure 8

[0665] As an example, the first producer provides the AI entity including the AI function for executing the first operation to the first node through the response in Figure 8

[0666] As an example, the first producer provides the AI function for executing the first operation to the first node through the response in Figure 8

[0667] As an example, the deployment is completed by an AI function.

[0668] As an example, the deployment is completed by the AI function deployed on the first node.

[0669] As an example, the deployment is completed by an AI deployment function.

[0670] ​​​​​​​​As an example, the deployment is completed by an AI deployment function deployed on the first node.

[0671] As an example, the deployment is completed by an AI inference function.

[0672] As an example, the deployment is completed by an AI inference function deployed on the first node.

[0673] As an example, the deployment is completed by an AI entity.

[0674] As an example, the deployment is completed by an AI entity deployed on the first node.

[0675] As an example, the deployment is completed by an AI entity with a deployment function.

[0676] As an example, the deployment is completed by an AI entity with a deployment function deployed on the first node.

[0677] As an example, the deployment is completed by an AI entity with an inference function.

[0678] As an example, the deployment is completed by an AI entity with an inference function deployed on the first node.

[0679] As an example, the deployment includes obtaining the first operation from a first producer.

[0680] As an example, the deployment includes making a request to the first producer to load the first operation.

[0681] As an example, the deployment includes loading the first operation from the first producer.

[0682] As an example, the first producer generates and provides an AI model.

[0683] As an example, the first producer generates and provides an AI entity.

[0684] As an example, the first producer generates and provides an AI function.

[0685] As an example, the first producer is the producer of the first operation.

[0686] As an example, the first producer is the producer of the training of the first operation.

[0687] As an example, the first producer includes an AI entity producer.

[0688] As an example, the first producer includes an AI function producer.

[0689] As an example, the first producer includes an AI deployment producer.

[0690] As an example, the first producer includes an AI loading producer.

[0691] As an example, the first producer includes an AI training producer.

[0692] As an example, the first producer includes an AI inference producer.

[0693] As an example, the first producer includes the producer of the training of an AI model.

[0694] As an example, the first producer includes a MnS (Management Service) producer.

[0695] As an example, the first producer is the serving cell of the first node.

[0696] As an example, the first producer is the maintenance base station of the serving cell of the first node.

[0697] As an example, the first producer is the core network.

[0698] As an example, the training of the first operation is performed by the first producer.

[0699] Example 9

[0700] Embodiment 9 exemplifies a schematic diagram of the same one or more transmission opportunities of one or more RS resources in a first RS resource set according to an embodiment of the present application; as shown in the appendix Figure 9 shown. In the appendix Figure 9 one or more RS resources in the first RS resource set are represented as RS resource #1,..., RS resource #J.

[0701] In Embodiment 9, the first CSI includes at least one RS resource identifier and at least one channel quality, and the at least one RS resource identifier and the at least one channel quality depend on the same one or more transmission occasions of one or more RS resources in the first RS resource set. In the appendix Figure 9 the at least one RS resource identifier and the at least one channel quality depend on the transmission occasion #i of the RS resource #1 to the RS resource #J.

[0702] As an embodiment, the at least one RS resource identifier and the at least one channel quality depend on one transmission occasion of one RS resource in the first RS resource set.

[0703] As an embodiment, the at least one RS resource identifier and the at least one channel quality depend on the same transmission occasion of multiple RS resources in the first RS resource set.

[0704] As an embodiment, the first node obtains measurements for obtaining the at least one RS resource identifier and the at least one channel quality based on the same one or more transmission occasions of one or more RS resources in the first RS resource set.

[0705] As an embodiment, the first node obtains measurements for obtaining the at least one RS resource identifier and the at least one channel quality based on one transmission occasion of one RS resource in the first RS resource set.

[0706] As an embodiment, the first node obtains measurements for obtaining the at least one RS resource identifier and the at least one channel quality based on the same transmission occasion of multiple RS resources in the first RS resource set.

[0707] Example 10

[0708] Embodiment 10 illustrates a schematic diagram of different one or more transmission occasions of one or more RS resources in the first RS resource set according to an embodiment of the present application; as shown in the appendix Figure 10 shown. In the appendix Figure 10 one or more RS resources in the first RS resource set are represented as RS resource #1,..., RS resource #J.

[0709] In Embodiment 10, the first CSI includes multiple RS resource identifiers and multiple channel qualities, and the multiple RS resource identifiers and the multiple channel qualities depend on different one or more transmission occasions of one or more RS resources in the first RS resource set. In the appendix Figure 10Among them, some of the multiple RS resource identifiers and some of the multiple channel qualities depend on the transmission opportunity #i of the RS resource #1 to the RS resource #J; another part of the multiple RS resource identifiers and another part of the multiple channel qualities depend on the transmission opportunity #j of the RS resource #1 to the RS resource #J.

[0710] As an embodiment, the multiple RS resource identifiers and the multiple channel qualities depend on different multiple transmission opportunities of one RS resource in the first RS resource set.

[0711] As an embodiment, the multiple RS resource identifiers and the multiple channel qualities depend on different transmission opportunities of multiple RS resources in the first RS resource set.

[0712] As an embodiment, the multiple RS resource identifiers and the multiple channel qualities depend on different multiple transmission opportunities of multiple RS resources in the first RS resource set.

[0713] As an embodiment, the first node obtains measurements for obtaining the multiple RS resource identifiers and the multiple channel qualities based on different one or more transmission opportunities of one or more RS resources in the first RS resource set.

[0714] As an embodiment, the first node obtains measurements for obtaining the multiple RS resource identifiers and the multiple channel qualities based on different multiple transmission opportunities of one RS resource in the first RS resource set.

[0715] As an embodiment, the first node obtains measurements for obtaining the multiple RS resource identifiers and the multiple channel qualities based on different transmission opportunities of multiple RS resources in the first RS resource set.

[0716] As an embodiment, the first node obtains measurements for obtaining the multiple RS resource identifiers and the multiple channel qualities based on different multiple transmission opportunities of multiple RS resources in the first RS resource set.

[0717] Example 11

[0718] Embodiment 11 exemplifies a schematic diagram in which the first CSI and the second CSI both depend on measurements on the first RS resource set; as shown in the appendix Figure 11 as shown.

[0719] In Embodiment 11, the at least first RS resource set only includes the first RS resource set, and both the first CSI and the second CSI rely on the measurements on the first RS resource set.

[0720] As an embodiment, the measurement includes channel measurement.

[0721] As an embodiment, the measurement refers to channel measurement.

[0722] As an embodiment, the first CSI and the second CSI respectively rely on the measurements on different transmission occasions of the RS resources in the first RS resource set.

[0723] As an embodiment, the first CSI and the second CSI respectively rely on the measurements on different transmission occasions of the same RS resource in the first RS resource set.

[0724] As an embodiment, the first CSI and the second CSI respectively rely on the measurements on different transmission occasions of the same multiple RS resources in the first RS resource set.

[0725] As an embodiment, the first CSI relies on the measurement on the transmission occasion of the RS resource in the first RS resource set before time slot t, and the second CSI relies on the measurement on the transmission occasion of the RS resource in the first RS resource set in time slot t.

[0726] As an embodiment, the first CSI relies on the measurement on the transmission occasion of the same RS resource in the first RS resource set before time slot t, and the second CSI relies on the measurement on the transmission occasion of the same RS resource in the first RS resource set in time slot t.

[0727] As an embodiment, the first CSI relies on the measurements on the transmission occasions of the same multiple RS resources in the first RS resource set before time slot t, and the second CSI relies on the measurements on the transmission occasions of the same multiple RS resources in the first RS resource set in time slot t.

[0728] As an embodiment, the first CSI is the predicted CSI for time slot t obtained according to the measurement on the transmission occasion of the RS resource in the first RS resource set before time slot t, and the second CSI is the measured CSI for time slot t obtained according to the measurement on the transmission occasion of the RS resource in the first RS resource set in time slot t.

[0729] As an example, the first node obtains measurements for calculating the first CSI and the second CSI based on different transmission opportunities of RS resources in the first RS resource set.

[0730] As an example, the first node obtains measurements for calculating the first CSI and the second CSI based on different transmission opportunities of the same RS resource in the first RS resource set.

[0731] As an example, the first node obtains measurements for calculating the first CSI and the second CSI based on different transmission opportunities of the same multiple RS resources in the first RS resource set.

[0732] As an example, the first node obtains measurements for calculating the first CSI based on the transmission opportunities of RS resources in the first RS resource set before time slot t, and the first node obtains measurements for calculating the second CSI based on the transmission opportunities of RS resources in the first RS resource set in time slot t.

[0733] As an example, the first node obtains measurements for calculating the first CSI only based on the transmission opportunities of RS resources in the first RS resource set before time slot t, and the first node obtains measurements for calculating the second CSI only based on the transmission opportunities of RS resources in the first RS resource set in time slot t.

[0734] As an example, the first node obtains measurements for calculating the first CSI based on the transmission opportunities of the same RS resource in the first RS resource set before time slot t, and the first node obtains measurements for calculating the second CSI based on the transmission opportunities of the same RS resource in the first RS resource set in time slot t.

[0735] As an example, the first node obtains measurements for calculating the first CSI only based on the transmission opportunities of the same RS resource in the first RS resource set before time slot t, and the first node obtains measurements for calculating the second CSI only based on the transmission opportunities of the same RS resource in the first RS resource set in time slot t.

[0736] As an example, the first node obtains measurements for calculating the first CSI based on the transmission opportunities of the same multiple RS resources in the first RS resource set before time slot t, and the first node obtains measurements for calculating the second CSI based on the transmission opportunities of the same multiple RS resources in the first RS resource set in time slot t.

[0737] As an example, the first CSI depends on measurements on only some of the RS resources in the first RS resource set, and the second CSI depends on measurements on all of the RS resources in the first RS resource set.

[0738] As an example, the first CSI depends on measurements on only some of the RS resources in the first RS resource set at the same transmission opportunity, and the second CSI depends on measurements on all of the RS resources in the first RS resource set at the same transmission opportunity.

[0739] As an example, the first CSI is a predicted CSI for all of the RS resources in the first RS resource set obtained based on measurements on only some of the RS resources in the first RS resource set, and the second CSI is a measured CSI for all of the RS resources in the first RS resource set obtained based on measurements on all of the RS resources in the first RS resource set.

[0740] As an example, the first CSI depends on measurements on only some of the RS resources in the first RS resource set at transmission opportunities before time slot t, and the second CSI depends on measurements on all of the RS resources in the first RS resource set at the transmission opportunity in time slot t.

[0741] As an example, the first CSI is a predicted CSI for all of the RS resources in the first RS resource set in time slot t obtained based on measurements on only some of the RS resources in the first RS resource set at transmission opportunities before time slot t, and the second CSI is a measured CSI for all of the RS resources in the first RS resource set in time slot t obtained based on measurements on all of the RS resources in the first RS resource set at the transmission opportunity in time slot t.

[0742] As an example, the first node obtains measurements for calculating the first CSI based on only some of the RS resources in the first RS resource set, and the first node obtains measurements for calculating the second CSI based on all of the RS resources in the first RS resource set.

[0743] As an example, the first node obtains measurements for calculating the first CSI based on only some of the RS resources in the first RS resource set at the same transmission opportunity, and the first node obtains measurements for calculating the second CSI based on all of the RS resources in the first RS resource set at the same transmission opportunity.

[0744] As an example, the first node obtains measurements for calculating the first CSI based on the transmission opportunities of only some of the RS resources in the first RS resource set before time slot t, and obtains measurements for calculating the second CSI based on the transmission opportunities of all the RS resources in the first RS resource set in time slot t.

[0745] Generally speaking, how to obtain channel measurements and how to calculate the first CSI and the second CSI are determined by the hardware device manufacturers themselves. The following introduces some non-limiting implementation manners:

[0746] As an example, the first node obtains channel information by measuring the RS of one RS resource in the first RS resource set, and the channel information includes but is not limited to the channel parameter matrix H w , w = 1,..., W, channel correlation matrix, received power, RSRP (Reference signal received power), or phase; where W is the number of subbands, and the dimension of H w is R×T, and T and R are the number of transmit antenna ports and the number of receive antennas respectively.

[0747] As an example, the first node obtains the first CSI or the second CSI by operating on the channel information, and the operations include but are not limited to one or more of mathematical operations, matrix decomposition, averaging, filtering, quantization, look-up table, or inference.

[0748] As an example, the first node obtains interference information by measuring the signals in the same RS resource; the interference information includes but is not limited to received power or interference correlation matrix; the first node obtains the first CSI and the second CSI by operating on the channel information and the interference information, and the operations include but are not limited to one or more of mathematical operations, matrix decomposition, averaging, filtering, quantization, look-up table, or inference.

[0749] As an example, the first node calculates the ratio of the average received power of the signals obtained in the same RS resource in the first RS resource set to the sum of the average received power of the interference obtained in the same RS resource and the noise power, and then determines the SINR by means of quantization and the like.

[0750] As an example, the first node, under the condition of adopting the precoding matrix V for the channel parameter matrix w , w = 1,..., W, obtains the precoded equivalent channel P w , w = 1,..., W, P w= H w ·V w , where W is the number of sub-bands, the dimension of V w is T×L, T is the number of transmit antenna ports, and L is the rank or the number of layers; adopting criteria such as SINR, EESM (Exponential Effective SINR Mapping), or RBIR (Received Block mean mutual Information Ratio) and combining interference signal and noise information, calculate P w , the equivalent channel capacity for w = 1,..., W, and then determine the CQI from the equivalent channel capacity by means such as looking up a table. Generally speaking, the value of CQI directly depends on receiver performance or hardware-related factors such as modulation mode. The precoding matrix W t×l is usually fed back by the first node through RI and / or PMI.

[0751] Example 12

[0752] Embodiment 12 exemplifies a schematic diagram of different transmission opportunities of RS resources in a first RS resource set according to an embodiment of the present application; as shown in the appendix Figure 12 shown. In the appendix Figure 12 , one or more RS resources in the first RS resource set are represented as RS resource #1,..., RS resource #J.

[0753] In Embodiment 12, the first CSI and the second CSI respectively depend on measurements on different transmission opportunities of RS resources in the first RS resource set.

[0754] As an embodiment, the first CSI depends on measurements on the transmission opportunities of RS resources in the first RS resource set before time slot t, and the second CSI depends on measurements on the transmission opportunities of RS resources in the first RS resource set in time slot t.

[0755] Example 13

[0756] Embodiment 13 exemplifies a schematic diagram of only partial RS resources and all RS resources in a first RS resource set according to an embodiment of the present application; as shown in the appendix Figure 13 shown. In the appendix Figure 13Among them, all the RS resources in the first RS resource set are represented as RS resource #1, ……, RS resource #J, and only some of the RS resources in the first RS resource set are represented as RS resource #1, ……, RS resource #I, where I is less than J.

[0757] In Embodiment 13, the first CSI depends on measurements on only some of the RS resources in the first RS resource set, and the second CSI depends on measurements on all of the RS resources in the first RS resource set.

[0758] In the appendix Figure 13 (a), the first CSI depends on measurements on only some of the RS resources in the first RS resource set at the same transmission opportunity, and the second CSI depends on measurements on all of the RS resources in the first RS resource set at the same transmission opportunity.

[0759] In the appendix Figure 13 (b), the first CSI depends on measurements on only some of the RS resources in the first RS resource set at the transmission opportunities before time slot t, and the second CSI depends on measurements on all of the RS resources in the first RS resource set at the transmission opportunity in time slot t.

[0760] Example 14

[0761] Embodiment 14 illustrates a schematic diagram of at least a first RS resource set including a first RS resource set and a second RS resource set according to an embodiment of the present application; as shown in the appendix Figure 14 shown.

[0762] In Embodiment 14, the at least first RS resource set includes a first RS resource set and a second RS resource set, the first CSI depends on the measurements on the first RS resource set, and the second CSI depends on the measurements on the second RS resource set.

[0763] As an embodiment, the first RS resource set and the second RS resource set are different.

[0764] As an embodiment, any RS resource in the first RS resource set is different from any RS resource in the second RS resource set.

[0765] As an embodiment, any RS resource in the first RS resource set is not an RS resource in the second RS resource set.

[0766] As an embodiment, at least one RS resource in the first RS resource set is not an RS resource in the second RS resource set.

[0767] As an example, the first RS resource set is not a subset of the second RS resource set.

[0768] As an example, the first CSI depends on measurements on at least one RS resource in the first RS resource set.

[0769] As an example, the first CSI depends on measurements on each RS resource in the first RS resource set.

[0770] As an example, the first CSI depends on measurements on only some of the RS resources in the first RS resource set.

[0771] As an example, the first CSI depends on measurements on all or part of the transmission opportunities of at least one RS resource in the first RS resource set.

[0772] As an example, the first CSI depends on measurements on all or part of the transmission opportunities of each RS resource in the first RS resource set.

[0773] As an example, the first CSI depends on measurements on all or part of the transmission opportunities of only some of the RS resources in the first RS resource set.

[0774] As an example, the second CSI depends on measurements on at least one RS resource in the second RS resource set.

[0775] As an example, the second CSI depends on measurements on each RS resource in the second RS resource set.

[0776] As an example, the second CSI depends on measurements on only some of the RS resources in the second RS resource set.

[0777] As an example, the second CSI depends on measurements on all or part of the transmission opportunities of at least one RS resource in the second RS resource set.

[0778] As an example, the second CSI depends on measurements on all or part of the transmission opportunities of each RS resource in the second RS resource set.

[0779] As an example, the second CSI depends on measurements on all or part of the transmission opportunities of only some of the RS resources in the second RS resource set.

[0780] As an example, the first CSI and the second CSI respectively depend on measurements of RS resources in the first RS resource set and RS resources in the second RS resource set at different transmission opportunities.

[0781] As an example, the first CSI depends on measurements of RS resources in the first RS resource set at transmission opportunities before time slot t, and the second CSI depends on measurements of RS resources in the second RS resource set at the transmission opportunity in time slot t.

[0782] As an example, the first CSI depends on measurements of at least one RS resource in the first RS resource set at transmission opportunities before time slot t, and the second CSI depends on measurements of at least one RS resource in the second RS resource set at the transmission opportunity in time slot t.

[0783] As an example, the first CSI depends on measurements of each RS resource in the first RS resource set at transmission opportunities before time slot t, and the second CSI depends on measurements of each RS resource in the second RS resource set at the transmission opportunity in time slot t.

[0784] As an example, the first CSI depends on measurements of only some RS resources in the first RS resource set at transmission opportunities before time slot t, and the second CSI depends on measurements of only some RS resources in the second RS resource set at the transmission opportunity in time slot t.

[0785] As an example, the first CSI is the predicted CSI for the second RS resource set in time slot t obtained according to measurements of RS resources in the first RS resource set at transmission opportunities before time slot t, and the second CSI is the measured CSI for the second RS resource set in time slot t obtained according to measurements of RS resources in the second RS resource set at the transmission opportunity in time slot t.

[0786] As an example, the first node obtains measurements for calculating the first CSI based on the transmission opportunities of RS resources in the first RS resource set before time slot t, and the first node obtains measurements for calculating the second CSI based on the transmission opportunities of RS resources in the second RS resource set in time slot t.

[0787] As an example, the first node obtains measurements for calculating the first CSI only based on the transmission opportunities of the RS resources in the first RS resource set before time slot t, and the first node obtains measurements for calculating the second CSI only based on the transmission opportunities of the RS resources in the second RS resource set in time slot t.

[0788] As an example, the first node obtains measurements for calculating the first CSI based on the transmission opportunities of at least one RS resource in the first RS resource set before time slot t, and the first node obtains measurements for calculating the second CSI based on the transmission opportunities of at least one RS resource in the second RS resource set in time slot t.

[0789] As an example, the first node obtains measurements for calculating the first CSI based on the transmission opportunities of each RS resource in the first RS resource set before time slot t, and the first node obtains measurements for calculating the second CSI based on the transmission opportunities of each RS resource in the second RS resource set in time slot t.

[0790] As an example, the first node obtains measurements for calculating the first CSI based on the transmission opportunities of only some of the RS resources in the first RS resource set before time slot t, and the first node obtains measurements for calculating the second CSI based on the transmission opportunities of only some of the RS resources in the second RS resource set in time slot t.

[0791] As an example, the first CSI and the second CSI respectively depend on the measurements of the RS resources in the first RS resource set and the RS resources in the second RS resource set at the same transmission opportunity.

[0792] As an example, the first CSI depends on the measurements of at least one RS resource in the first RS resource set at the same transmission opportunity, and the second CSI depends on the measurements of at least one RS resource in the second RS resource set at the same transmission opportunity.

[0793] As an example, the first CSI depends on the measurements of each RS resource in the first RS resource set at the same transmission opportunity, and the second CSI depends on the measurements of each RS resource in the second RS resource set at the same transmission opportunity.

[0794] As an example, the first CSI depends on the measurements of only some of the RS resources in the first RS resource set on the same transmission opportunity, and the second CSI depends on the measurements of only some of the RS resources in the second RS resource set on the same transmission opportunity.

[0795] As an example, the first CSI is a predicted CSI for the second RS resource set obtained based on the measurements on the first RS resource set, and the second CSI is a measured CSI for the second RS resource set obtained based on the measurements on the second RS resource set.

[0796] As an example, the first node obtains the measurements for calculating the first CSI based on at least one of the RS resources in the first RS resource set on the same transmission opportunity, and the first node is based on at least one of the RS resources in the second RS resource set on the same transmission opportunity.

[0797] As an example, the first node obtains the measurements for calculating the first CSI based on each of the RS resources in the first RS resource set on the same transmission opportunity, and the first node is based on each of the RS resources in the second RS resource set on the same transmission opportunity.

[0798] As an example, the first node obtains the measurements for calculating the first CSI based on only some of the RS resources in the first RS resource set on the same transmission opportunity, and the first node is based on only some of the RS resources in the second RS resource set on the same transmission opportunity.

[0799] Generally speaking, how to obtain channel measurements and how to calculate the first CSI and the second CSI are determined by the hardware device manufacturers themselves. The following are some non-limiting implementation manners:

[0800] As an example, the first node obtains channel information by measuring the RS of one of the RS resources in the first RS resource set / the second RS resource set, and the channel information includes but is not limited to the channel parameter matrix H w , w = 1,..., W, channel correlation matrix, received power, RSRP (Reference signal received power), or one or more of the phases; where the W is the number of subbands, and the dimension of the H w is R × T, and the T and the R are the number of transmit antenna ports and the number of receive antennas, respectively.

[0801] As an example, the first node operates on the channel information to obtain the first CSI or the second CSI, and the operations include, but are not limited to, one or more of mathematical operations, matrix decomposition, averaging, filtering, quantization, look-up table, or inference.

[0802] As an example, the first node measures signals in the same RS resource to obtain interference information; the interference information includes, but is not limited to, received power or an interference correlation matrix; the first node operates on the channel information and the interference information to obtain the first CSI and the second CSI, and the operations include, but are not limited to, one or more of mathematical operations, matrix decomposition, averaging, filtering, quantization, look-up table, or inference.

[0803] As an example, the first node calculates the ratio of the average received power of the signal obtained in the same RS resource in the first RS resource set / the second RS resource set to the sum of the average received power of the interference and the noise power obtained in the same RS resource, and then determines the SINR by means of quantization or the like.

[0804] As an example, when the first node uses the precoding matrix V for the channel parameter matrix w , w = 1,..., W, the precoded equivalent channel R is obtained w , w = 1,..., W, P w = H w · V w , where W is the number of subbands, the dimension of V w is T×L, T is the number of transmit antenna ports, and L is the rank or the number of layers; using criteria such as SINR, EESM (Exponential Effective SINR Mapping), or RBIR (Received Block mean mutual Information Ratio) and combining interference signal and noise information, calculate the equivalent channel capacity of P w , w = 1,..., W, and then determine the CQI by means of look-up table or the like from the equivalent channel capacity. Generally speaking, the value of the CQI has a direct mapping dependence on receiver performance, or hardware-related factors such as the modulation method. The precoding matrix W t×l is usually fed back by the first node through RI and / or PMI.

[0805] Example 15

[0806] Embodiment 15 exemplifies a schematic diagram of the first accuracy rate according to an embodiment of the present application conditional on occupying N first - type resources; as shown in the appendix Figure 15 as shown

[0807] In Embodiment 15, in appendix Figure 15 (a), the first CSI includes the identification of at least one predicted beam, and the second CSI includes the identification of at least one measured beam; the first accuracy rate conditional on occupying N first - type resources includes: the first accuracy rate indicates the accuracy of the at least one predicted beam under the condition that the number of first - type resources occupied by the calculation of the first CSI is not less than N;

[0808] In appendix Figure 15 (b), the first CSI includes the identification of at least one predicted beam, and the second CSI includes the identification of at least one measured beam; the first accuracy rate conditional on occupying N first - type resources includes: the first accuracy rate indicates the accuracy of the at least one predicted beam under the condition that the number of first - type resources occupied by the calculation of the first CSI is N.

[0809] As an embodiment, the at least one predicted beam includes: the predicted first (top - 1) strongest beam or the predicted top K (top - K) strongest beams.

[0810] As an embodiment, the at least one measured beam includes: the first (top - 1) strongest beam obtained based on measurement or the top K (top - K) strongest beams obtained based on measurement.

[0811] As an embodiment, K is a positive integer greater than 1.

[0812] As an embodiment, the accuracy of the at least one predicted beam depends on whether there is a beam in the at least one predicted beam that belongs to the at least one measured beam.

[0813] As an embodiment, the accuracy of the at least one predicted beam depends on the number of beams in the at least one predicted beam that belong to the at least one measured beam.

[0814] As an embodiment, the accuracy of the at least one predicted beam depends on whether there is a beam in the at least one measured beam that belongs to the at least one predicted beam.

[0815] As an embodiment, the accuracy of the at least one predicted beam depends on the number of beams in the at least one measured beam that belong to the at least one predicted beam.

[0816] As an example, the at least one predicted beam includes a first (top-1) predicted beam, the at least one measured beam includes a first (top-1) measured beam, and the accuracy of the at least one predicted beam includes the probability that the first predicted beam is the first measured beam.

[0817] As an example, the at least one predicted beam includes the top-K predicted beams, the at least one measured beam includes a first (top-1) measured beam, and the accuracy of the at least one predicted beam includes the probability that the first measured beam is one of the top-K predicted beams.

[0818] As an example, the at least one predicted beam includes a first (top-1) predicted beam, the at least one measured beam includes the top-K measured beams, and the accuracy of the at least one predicted beam includes the probability that the first predicted beam is one of the top-K measured beams.

[0819] As an example, the first predicted beam / the top-K predicted beams are the predicted first (top-1) strongest beam / the predicted top-K (top-K) strongest beams.

[0820] As an example, the first measured beam / the top-K measured beams are the first (top-1) strongest beam obtained based on measurement / the top-K (top-K) strongest beams obtained based on measurement.

[0821] As an example, the first predicted beam is the predicted first (top-1) strongest beam.

[0822] As an example, the top-K predicted beams are the predicted top-K (top-K) strongest beams.

[0823] As an example, the first measured beam is the first (top-1) strongest beam obtained based on measurement.

[0824] As an example, the top-K measured beams are the top-K (top-K) strongest beams obtained based on measurement.

[0825] As an example, the first accuracy rate indicates the accuracy of the at least one predicted beam.

[0826] As an example, the first type of resources occupied by the calculation of the first CSI includes: the first type of resources occupied by the inference of the first CSI.

[0827] As an example, the first type of resources occupied by the calculation of the first CSI include: the first type of resources occupied by the processing of the first CSI.

[0828] Example 16

[0829] Example 16 exemplifies a schematic diagram of the first accuracy rate according to an embodiment of the present application on the condition of occupying N first type of resources; as shown in the appendix Figure 16 as follows.

[0830] In Example 16, in the appendix Figure 16 (a), the first CSI includes at least one predicted RSRP, and the second CSI includes at least one measured RSRP; the first accuracy rate on the condition of occupying N first type of resources includes: the first accuracy rate indicates the accuracy of the at least one predicted RSRP on the condition that the quantity of the first type of resources occupied by the calculation of the first CSI is not less than the N.

[0831] In the appendix Figure 16 (b), the first CSI includes at least one predicted RSRP, and the second CSI includes at least one measured RSRP; the first accuracy rate on the condition of occupying N first type of resources includes: the first accuracy rate indicates the accuracy of the at least one predicted RSRP on the condition that the quantity of the first type of resources occupied by the calculation of the first CSI is the N.

[0832] As an example, the at least one predicted RSRP is respectively the measured RSRP of the at least one predicted beam.

[0833] As an example, the at least one predicted RSRP is respectively the predicted RSRP of the at least one predicted beam.

[0834] As an example, the at least one measured RSRP is respectively the RSRP of the at least one measured beam.

[0835] As an example, the at least one measured RSRP is respectively the measured RSRP of the at least one measured beam.

[0836] As an example, the at least one measured RSRP is respectively the measured RSRP of the at least one predicted beam.

[0837] As an example, the at least one predicted RSRP is respectively the predicted RSRP of the at least one predicted beam, and the at least one measured RSRP is respectively the measured RSRP of the at least one predicted beam.

[0838] As an embodiment, the at least one predicted RSRP is respectively the measured RSRP of the at least one predicted beam, and the at least one measured RSRP is respectively the measured RSRP of the at least one measured beam.

[0839] As an embodiment, the at least one predicted RSRP is respectively the predicted RSRP of the at least one predicted beam, and the at least one measured RSRP is respectively the measured RSRP of the at least one measured beam.

[0840] As an embodiment, both the at least one predicted RSRP and the at least one measured RSRP rely on the measurements in the first RS resource set.

[0841] As an embodiment, the at least one predicted RSRP relies on the measurements in the first RS resource set, and the at least one measured RSRP relies on the measurements in the second RS resource set.

[0842] As an embodiment, the accuracy of the at least one predicted RSRP depends on the difference between one or more RSRPs in the at least one predicted RSRP and one or more RSRPs in the at least one measured RSRP.

[0843] As an embodiment, the at least one predicted RSRP includes a first (top-1) predicted RSRP, the at least one measured RSRP includes a first (top-1) measured RSRP, and the accuracy of the at least one predicted RSRP includes the difference between the first predicted RSRP and the first measured RSRP.

[0844] As an embodiment, the at least one predicted RSRP includes a first (top-1) predicted RSRP, the at least one measured RSRP includes a first (top-1) measured RSRP, and the accuracy of the at least one predicted RSRP includes the average value of the difference between the first predicted RSRP and the first measured RSRP.

[0845] As an embodiment, the at least one predicted RSRP includes a first (top-1) predicted RSRP, the at least one measured RSRP includes a first (top-1) measured RSRP, and the accuracy of the at least one predicted RSRP includes the CDF (Cumulative Distribution Function) of the difference between the first predicted RSRP and the first measured RSRP.

[0846] As an example, the at least one predicted RSRP includes a first (top-1) predicted RSRP, the at least one measured RSRP includes a first (top-1) measured RSRP, and the accuracy of the at least one predicted RSRP includes the probability that the difference between the first predicted RSRP and the first measured RSRP does not exceed x dB.

[0847] As a sub-example of the above example, x is an integer.

[0848] As a sub-example of the above example, x is a non-negative integer.

[0849] As a sub-example of the above example, x is a real number.

[0850] As a sub-example of the above example, x is predefined.

[0851] As a sub-example of the above example, x is fixed.

[0852] As a sub-example of the above example, x is 1.

[0853] As a sub-example of the above example, x is configurable.

[0854] As an example, the first (top-1) predicted RSRP is the maximum value among the predicted RSRPs of the at least one predicted beam.

[0855] As an example, the first (top-1) predicted RSRP is the maximum value among the measured RSRPs of the at least one predicted beam.

[0856] As an example, the first (top-1) measured RSRP is the maximum value among the measured RSRPs of the at least one measured beam.

[0857] As an example, the first accuracy rate indicates the accuracy of the at least one predicted RSRP.

[0858] Example 17

[0859] Example 17 exemplifies a schematic diagram of a second information block according to an example of the present application; as shown in the appendix Figure 17 as shown.

[0860] In Example 17, the first transmitter transmits a second information block, and the second information block indicates the N.

[0861] As an example, the second information block includes UCI.

[0862] As an example, the second information block includes CSI.

[0863] As an example, the second information block includes HARQ-ACK information.

[0864] As an example, the second information block includes SR.

[0865] As an example, the second information block includes the first CSI and the second CSI.

[0866] As an example, the second information block does not include the first CSI and the second CSI.

[0867] As an example, the advantages of the above method include: reducing overhead.

[0868] As an example, the second information block is transmitted on the PUSCH.

[0869] As an example, the second information block is transmitted on the PUCCH.

[0870] As an example, the first information block includes the second information block.

[0871] As an example, the first information block and the second information block are transmitted on the same physical layer channel.

[0872] As an example, the first information block and the second information block are transmitted on the same PUCCH.

[0873] As an example, the first information block and the second information block are transmitted on the same PUSCH.

[0874] As an example, the first information block does not include the second information block.

[0875] As an example, the first information block and the second information block are two different information blocks respectively.

[0876] As an example, the first information block and the second information block are transmitted on different physical layer channels respectively.

[0877] As an example, the first information block and the second information block are transmitted on different PUCCHs respectively.

[0878] As an example, the first information block and the second information block are transmitted on different PUSCHs respectively.

[0879] As an example, the first information block is transmitted on the PUCCH, and the second information block is transmitted on the PUSCH.

[0880] As an example, the first information block is transmitted on the PUSCH, and the second information block is transmitted on the PUCCH.

[0881] Example 18

[0882] Embodiment 18 exemplifies a schematic diagram of a second information block according to an embodiment of the present application; as shown in the appendix Figure 18 as shown.

[0883] In Embodiment 18, the first receiver receives a second information block, and the second information block indicates the N.

[0884] As an example, the second information block is carried by higher layer signaling.

[0885] As an example, the second information block is carried by RRC (Radio Resource Control) signaling.

[0886] As an example, the second information block is carried by an RRC IE (Information Element).

[0887] As an example, the second information block is carried by at least one RRC IE.

[0888] As an example, the second information block includes information in one or more fields of at least one RRC IE.

[0889] As an example, the second information block includes information in one or more fields of each RRC IE among a plurality of RRC IEs.

[0890] As an example, the second information block is carried by an RRC IE whose name includes CSI-ReportConfig.

[0891] As an example, the second information block is carried by a CSI-ReportConfig IE.

[0892] As an example, the second information block is carried by an RRC IE different from the CSI-ReportConfig IE.

[0893] As an example, the second information block is carried by an RRC IE whose name includes CSI-MeasConfig.

[0894] As an embodiment, the second information block is carried by the CSI-MeasConfig IE.

[0895] As an embodiment, the second information block is carried by an RRC IE different from the CSI-MeasConfig IE.

[0896] As an embodiment, the second information block is an RRC IE.

[0897] As an embodiment, the second information block is an RRC IE whose name includes CSI-ReportConfig.

[0898] As an embodiment, the second information block is a CSI-ReportConfig IE.

[0899] As an embodiment, the second information block is an RRC IE different from the CSI-ReportConfig IE.

[0900] As an embodiment, the second information block is an RRC IE whose name includes CSI-MeasConfig.

[0901] As an embodiment, the second information block is a CSI-MeasConfig IE.

[0902] As an embodiment, the second information block is an RRC IE different from the CSI-MeasConfig IE.

[0903] As an embodiment, the second information block includes a CSI reporting configuration.

[0904] As an embodiment, the second information block includes a CSI Reporting setting.

[0905] As an embodiment, the second information block is a CSI reporting configuration.

[0906] As an embodiment, the second information block is a CSI Reporting setting.

[0907] As an embodiment, the second information block is a CSI Reporting setting configured by an RRC IE whose name includes CSI-ReportConfig.

[0908] As an example, the second information block is a CSI Reporting setting configured by a CSI-ReportConfig IE.

[0909] As an example, the second information block is a CSI Reporting setting configured by an RRC IE different from the CSI-ReportConfig IE.

[0910] As an example, the second information block is used to configure a first report, and the first report includes the first accuracy rate.

[0911] As an example, the first report includes at least the first accuracy rate among the first accuracy rate, the first CSI, or the second CSI.

[0912] As an example, the first report includes only the first accuracy rate among the first accuracy rate, the first CSI, or the second CSI.

[0913] As an example, the first report includes the first accuracy rate, the first CSI, and the second CSI.

[0914] As an example, the first report includes a single report of the second information block.

[0915] As an example, the first report includes a single reporting instance of the second information block.

[0916] As an example, the first report is a single report of the second information block.

[0917] As an example, the first report is a single reporting instance of the second information block.

[0918] As an example, the first report is generated according to the second information block.

[0919] As an example, the second information block is configured to obtain one or more RS resources for channel measurement used to calculate the first report.

[0920] As an example, the second information block configures the frequency domain resources involved in the first report.

[0921] As an example, the second information block configures the frequency domain resources targeted by the first report.

[0922] As an example, the second information block configures the reporting quantity of the first report.

[0923] As an example, the reporting quantity includes CRI.

[0924] As an example, the reporting quantity includes SSBRI.

[0925] As an example, the reporting quantity includes RSRP.

[0926] As an example, the reporting quantity includes SINR.

[0927] As an example, the reporting quantity includes one or more of CRI, SSBRI, RSRP, and SINR.

[0928] As an example, the reporting quantity includes one or more of CQI, PMI, LI, RI, CRI, SSBRI, RSRP, SINR, TDCP, or Capability Index.

[0929] As an example, the second information block configures some or all of the higher layer parameter values of resourcesForChannelMeasurement, csi-IM-ResourcesForInterference, reportQuantity, nzp-CSI-RS-ResourcesForInterference, reportConfigType, reportFreqConfiguration, timeRestrictionForChannelMeasurements, timeRestrictionForInterferenceMeasurements, subbandSize, or codebookConfig of the first report.

[0930] As an example, the second information block configures the N.

[0931] As an example, the second information block indicates the N.

[0932] As an example, a field of the second information block indicates the N.

[0933] As an example, the second information block is transmitted on the PDSCH.

[0934] Example 19

[0935] Example 19 illustrates a schematic diagram of a third information block according to an embodiment of the present application; as shown in the attached Figure 19 figure.

[0936] In Example 19, the first transmitter sends a third information block, the third information block indicates N0 first - type resources, where N0 is a positive integer greater than 1; and N is not greater than N0.

[0937] As an embodiment, the third information block is carried by a higher - layer message.

[0938] As an embodiment, the third information block is carried by an RRC (Radio Resource Control) message.

[0939] As an embodiment, the third information block is carried by RRC signaling.

[0940] As an embodiment, the third information block is carried by a MAC CE (Medium Access Control layer Control Element).

[0941] As an embodiment, the third information block includes UE capability information.

[0942] As an embodiment, the third information block is carried by a UE capability IE.

[0943] As an embodiment, the third information block includes information in all or part of the fields in a UE capability IE.

[0944] As an embodiment, the third information block includes information in one or more UE capability IEs.

[0945] As an embodiment, the third information block includes the capability report of the first node.

[0946] As an embodiment, the third information block includes the UE processing capability of the first node.

[0947] As an embodiment, the third information block includes the UE capability indication of the first node.

[0948] As an example, the third information block is only applicable to one carrier or one serving cell of the first node.

[0949] As an example, the third information block is applicable to all component carriers of the first node.

[0950] As an example, the third information block is applicable to all component carriers of the first node belonging to the same cell group.

[0951] As an example, the third information block is applicable to all component carriers of the first node belonging to the same band or band combination.

[0952] As an example, the third information block is applicable to all serving cells of the first node.

[0953] As an example, the third information block is applicable to all serving cells of the first node belonging to the same cell group.

[0954] As an example, the third information block is applicable to all serving cells of the first node belonging to the same band or band combination.

[0955] Typically, the same cell group is the MCG (Master Cell Group) or the SCG (Secondary Cell Group).

[0956] As an example, the third information block is transmitted on the PUSCH.

[0957] As an example, the N0 is the total number of the first type of resources.

[0958] As an example, the N0 is the total number of the first type of resources of the first node.

[0959] As an example, the N0 is the total number of the first type of resources deployed on the first node.

[0960] As an example, the N0 is the maximum value of the quantity of the first type of resources.

[0961] As an example, the N0 is the maximum value of the quantity of the occupied first type of resources.

[0962] As an example, the N0 is the maximum value of the quantity of the first type of resources supported by the first node.

[0963] As an example, N0 is the maximum value of the quantity of the first type of resources that the first node can provide.

[0964] As an example, N0 is the maximum value of the quantity of the first type of resources that the first node supports simultaneously.

[0965] As an example, N0 is the maximum value of the quantity of the first type of resources that the first node can provide simultaneously.

[0966] As an example, the first node supports N0 first - type resources simultaneously.

[0967] As an example, the first node can provide N0 first - type resources simultaneously.

[0968] As an example, N0 is the total number of the first type of resources on one carrier.

[0969] As an example, N0 is the total number of the first type of resources of the first node on one carrier.

[0970] As an example, N0 is the maximum value of the occupied first - type resources on one carrier.

[0971] As an example, N0 is the maximum value of the first type of resources that the first node supports on one carrier.

[0972] As an example, N0 is the maximum value of the first type of resources that the first node can provide on one carrier.

[0973] As an example, N0 is the maximum value of the first type of resources that the first node supports simultaneously on one carrier.

[0974] As an example, N0 is the maximum value of the first type of resources that the first node can provide simultaneously on one carrier.

[0975] As an example, the carrier refers to a component carrier.

[0976] As an example, N0 is the total number of the first type of resources on all carriers.

[0977] As an example, N0 is the total number of the first type of resources of the first node on all carriers.

[0978] As an example, N0 is the maximum value of the occupied first - type resources on all carriers.

[0979] As an example, N0 is the maximum value of the first type of resources supported by the first node on all carriers.

[0980] As an example, N0 is the maximum value of the first type of resources that the first node can provide on all carriers.

[0981] As an example, N0 is the maximum value of the first type of resources simultaneously supported by the first node on all carriers.

[0982] As an example, N0 is the maximum value of the first type of resources that the first node can simultaneously provide on all carriers.

[0983] As an example, all carriers refer to all component carriers.

[0984] As an example, all carriers refer to all component carriers belonging to the same cell group.

[0985] As an example, all carriers refer to all component carriers belonging to the same frequency band or frequency band combination.

[0986] As an example, N0 is the total number of the first type of resources on one serving cell.

[0987] As an example, N0 is the total number of the first type of resources of the first node on one serving cell.

[0988] As an example, N0 is the maximum value of the occupied first type of resources on one serving cell.

[0989] As an example, N0 is the maximum value of the first type of resources supported by the first node on one serving cell.

[0990] As an example, N0 is the maximum value of the first type of resources that the first node can provide on one serving cell.

[0991] As an example, N0 is the maximum value of the first type of resources simultaneously supported by the first node on one serving cell.

[0992] As an example, N0 is the maximum value of the first type of resources that the first node can simultaneously provide on one serving cell.

[0993] As an example, one serving cell is a SpCell (Special Cell) or an SCell (Secondary Cell).

[0994] As an example, the N0 is the total number of the first type of resources on all serving cells.

[0995] As an example, the N0 is the total number of the first type of resources on all serving cells of the first node.

[0996] As an example, the N0 is the maximum value of the occupied first type of resources on all serving cells.

[0997] As an example, the N0 is the maximum value of the first type of resources supported by the first node on all serving cells.

[0998] As an example, the N0 is the maximum value of the first type of resources that the first node can provide on all serving cells.

[0999] As an example, the N0 is the maximum value of the first type of resources that the first node simultaneously supports on all serving cells.

[1000] As an example, the N0 is the maximum value of the first type of resources that the first node can simultaneously provide on all serving cells.

[1001] As an example, all the serving cells refer to all the serving cells configured for the first node.

[1002] As an example, all the serving cells refer to all the serving cells belonging to the same cell group.

[1003] As an example, all the serving cells refer to all the serving cells belonging to the same frequency band or frequency band combination.

[1004] As an example, the N0 first type of resources are used for inference.

[1005] As an example, the N first type of resources are the first type of resources among the N0 first type of resources.

[1006] Example 20

[1007] Example 20 illustrates a schematic diagram of the first type of sub-resources and the second type of sub-resources according to an embodiment of the present application; as shown in the appendix Figure 20 as follows.

[1008] In Example 20, each of the N first type of resources includes one or more first type of sub-resources and one or more second type of sub-resources, and at least the first type of sub-resources among the first type of sub-resources and the second sub-resources are used for inference.

[1009] As an example, the first type of sub-resource is used for inference.

[1010] As an example, the first type of sub-resource is used for calculation or processing.

[1011] As an example, the first type of sub-resource is used for the calculation or processing required for inference.

[1012] As an example, the first type of sub-resource is used for storage.

[1013] As an example, the first type of sub-resource includes storage resources.

[1014] As an example, the first type of sub-resource is used for the storage required for inference.

[1015] As an example, the second type of sub-resource is used for storage.

[1016] As an example, the second type of sub-resource is used for the storage required for inference.

[1017] As an example, the second type of sub-resource is a CSI processing unit.

[1018] As an example, the second type of sub-resource includes a storage unit or storage space.

[1019] As an example, the second type of sub-resource includes storage resources.

[1020] As an example, the second type of sub-resource includes memory.

[1021] As an example, the second type of sub-resource includes video memory.

[1022] As an example, the second type of sub-resource is used to store some or all of the parameters of an AI model or an ML model.

[1023] As an example, the second type of sub-resource is used to store some or all of the intermediate results of inference.

[1024] As an example, the second type of sub-resource is used to store some or all of the outputs of inference.

[1025] As an example, the second type of sub-resource is used to store some or all of the parameters of an AI model or an ML model and some or all of the intermediate results of inference.

[1026] As an example, the second type of sub-resource is used to store some or all of the parameters of an AI model or an ML model, some or all of the intermediate results of inference, and some or all of the outputs of inference.

[1027] As an embodiment, the parameters of the AI model or ML model include one or more of the convolutional kernel size, the number of convolutional layers, the convolutional stride, the pooling kernel size, the pooling kernel stride, the pooling function, the activation function, and the number of feature maps.

[1028] As an embodiment, the parameters of the AI model or ML model include one or more of the stored convolutional kernel, the pooling kernel, the pooling function, the activation function, the parameters of the pooling function, and the parameters of the activation function.

[1029] As an embodiment, the first type of sub-resource is used for calculation or processing, and the second type of sub-resource is used for storage.

[1030] As an embodiment, the advantages of the above method include: better meeting the requirements of inference and giving full play to the advantages of AI or ML technology.

[1031] As an embodiment, the first type of sub-resource is used for the calculation or processing required for inference, and the second type of sub-resource is used for the storage required for inference.

[1032] As an embodiment, the first type of sub-resource is used for inference, and the second type of sub-resource is a CSI processing unit.

[1033] As an embodiment, the advantages of the above method include: making full use of the existing CSI processing unit and improving the utilization rate.

[1034] As an embodiment, the first type of sub-resource is used for inference, and the second type of sub-resource is used for CSI calculation or CSI processing.

[1035] As an embodiment, the first type of sub-resource is used for storage, and the second type of sub-resource is used for CSI calculation or CSI processing.

[1036] As an embodiment, the advantages of the above method include: making full use of the existing CSI processing unit and improving the utilization rate.

[1037] As an embodiment, that a first type of sub-resource is occupied includes: that the first type of sub-resource is not idle.

[1038] As an embodiment, that a first type of sub-resource is occupied includes: that the first type of sub-resource has been used for inference.

[1039] As an embodiment, that a first type of sub-resource is occupied includes: that the first type of sub-resource has been used for calculation or processing.

[1040] As an embodiment, that a first type of sub-resource is occupied includes: that the first type of sub-resource has been used for storage.

[1041] As an example, a first type of sub-resource being unoccupied includes: the first type of sub-resource being idle.

[1042] As an example, a first type of sub-resource being unoccupied includes: the first type of sub-resource not yet being used for inference.

[1043] As an example, a first type of sub-resource being unoccupied includes: the first type of sub-resource not yet being used for calculation or processing.

[1044] As an example, a first type of sub-resource being unoccupied includes: the first type of sub-resource not yet being used for storage.

[1045] As an example, a second type of sub-resource being occupied includes: the second type of sub-resource not being idle.

[1046] As an example, a second type of sub-resource being occupied includes: the second type of sub-resource already being used for storage.

[1047] As an example, a second type of sub-resource being occupied includes: the second type of sub-resource already being used for CSI processing.

[1048] As an example, a second type of sub-resource being unoccupied includes: the second type of sub-resource being idle.

[1049] As an example, a second type of sub-resource being unoccupied includes: the second type of sub-resource not yet being used for storage.

[1050] As an example, a second type of sub-resource being unoccupied includes: the second type of sub-resource not yet being used for CSI processing.

[1051] As an example, if a first type of sub-resource is occupied, the first type of sub-resource cannot be used for new calculation or processing requirements; if a first type of sub-resource is unoccupied, the first type of sub-resource can be used for new calculation or processing requirements.

[1052] As an example, if a first type of sub-resource is occupied, the first type of sub-resource cannot be used for new storage requirements; if a first type of sub-resource is unoccupied, the first type of sub-resource can be used for new storage requirements.

[1053] As an example, if a second type of sub-resource is occupied, the second type of sub-resource cannot be used for new storage requirements; if a second type of sub-resource is unoccupied, the second type of sub-resource can be used for new storage requirements.

[1054] As an example, if a second - type sub - resource is occupied, the second - type sub - resource cannot be used for new CSI processing requirements; if a second - type sub - resource is not occupied, the second - type sub - resource can be used for new CSI processing requirements.

[1055] As an example, a first - type resource being occupied includes: at least one first - type sub - resource or at least one second - type sub - resource included in the first - type resource being occupied.

[1056] As an example, a first - type resource being occupied includes: all first - type sub - resources and all second - type sub - resources included in the first - type resource being occupied.

[1057] As an example, a first - type resource not being occupied includes: each first - type sub - resource and each second - type sub - resource included in the first - type resource not being occupied.

[1058] As an example, a first - type resource not being occupied includes: at least one first - type sub - resource or at least one second - type sub - resource included in the first - type resource not being occupied.

[1059] As an example, a first - type resource being occupied means: at least one first - type sub - resource or at least one second - type sub - resource included in the first - type resource being occupied; a first - type resource not being occupied means: each first - type sub - resource and each second - type sub - resource included in the first - type resource not being occupied.

[1060] As an example, a first - type resource being occupied means: all first - type sub - resources and all second - type sub - resources included in the first - type resource being occupied; a first - type resource not being occupied means: at least one first - type sub - resource or at least one second - type sub - resource included in the first - type resource not being occupied.

[1061] As an example, at least one of the N0 first - type resources includes one or more first - type sub - resources and one or more second - type sub - resources.

[1062] As an example, at least the N of the N0 first - type resources includes one or more first - type sub - resources and one or more second - type sub - resources.

[1063] As an example, each of the N0 first - type resources includes one or more first - type sub - resources and one or more second - type sub - resources.

[1064] As an embodiment, the number of first - type sub - resources included in at least one of the N0 first - type resources is not equal to the number of second - type sub - resources included therein.

[1065] As an embodiment, the number of first - type sub - resources included in at least two of the N0 first - type resources is not equal.

[1066] As an embodiment, the number of second - type sub - resources included in at least two of the N0 first - type resources is not equal.

[1067] As an embodiment, the number of first - type sub - resources included in any two of the N0 first - type resources is equal.

[1068] As an embodiment, the number of second - type sub - resources included in any two of the N0 first - type resources is equal.

[1069] As an embodiment, the number of first - type sub - resources included in each of the N0 first - type resources and the number of second - type sub - resources included therein are unknown to the target recipient of the third information block.

[1070] As an embodiment, the third information block indicates the number of first - type sub - resources included in each of at least some of the N0 first - type resources and the number of second - type sub - resources included therein.

[1071] As an embodiment, the third information block indicates the number of first - type sub - resources included in each of the N0 first - type resources and the number of second - type sub - resources included therein.

[1072] Example 21

[1073] Embodiment 21 exemplifies a schematic diagram of a first - type resource including first - type sub - resources and second - type sub - resources according to an embodiment of the present application; as shown in the appendix Figure 21 as follows.

[1074] In Embodiment 21, a first - type resource includes one or more first - type sub - resources and one or more second - type sub - resources.

[1075] As an embodiment, the number of first - type sub - resources included in a first - type resource is not equal to the number of second - type sub - resources included therein.

[1076] As an embodiment, the number of first - type sub - resources included in a first - type resource is equal to the number of second - type sub - resources included therein.

[1077] Example 22

[1078] Embodiment 22 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 attached Figure 22 figure. In Embodiment 22, the third processor sends a first data set to the fourth processor and a second data set to the fifth processor; the fourth processor generates a target first type of parameter group according to the first data set, and the fourth processor sends the generated target first type of parameter group to the fifth processor; the fifth processor processes the second data set by 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 attached Figure 22 figure, 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 inference function.

[1079] As an embodiment, the sixth processor includes an ML testing function.

[1080] As an embodiment, the sixth processor includes performance monitoring / evaluation of the ML model.

[1081] As an embodiment, 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.

[1082] As an embodiment, the sixth processor sends a second type of feedback to the third processor, and the second type of feedback is used to generate the first data set or the second data set, or the second type of feedback is used to trigger the sending of the first data set or the sending of the second data set.

[1083] As an embodiment, the third processor generates the first data set and the second data set according to the measurement of a reference signal.

[1084] As an embodiment, the fifth processor belongs to the first node.

[1085] As an embodiment, the sixth processor belongs to the first node or the second node.

[1086] As an embodiment, the fifth processor performs the first operation.

[1087] As an embodiment, the second data set includes measurements of a reference signal.

[1088] As an embodiment, the first data set includes Training Data.

[1089] As an embodiment, the fourth processor is used to train an ML model, and the trained model is described by the target first type of parameter group.

[1090] As an embodiment, the fourth processor is located at the first node.

[1091] The above embodiment avoids transmitting the first data set to the second node.

[1092] As an embodiment, the fourth processor is located at the second node.

[1093] The above embodiment supports joint training and optimizes the system performance.

[1094] As an embodiment, the fourth processor is located in the core network.

[1095] The above embodiment supports full-network joint training and further optimizes the system performance.

[1096] As an embodiment, the second data set includes Inference Data.

[1097] As an embodiment, the fifth processor is located at the first node.

[1098] As an embodiment, the fifth processor constructs a model according to the target first type of parameter group, and then inputs the second data set into the constructed model to obtain the first type of output.

[1099] As an embodiment, the fifth processor compares the real measurement result with the first type of output, and the obtained error is used to generate the first type of feedback.

[1100] As an embodiment, the fifth processor generates the first type of feedback through performance monitoring.

[1101] As an embodiment, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model does not meet the requirements, the fourth processor will recalculate the target first type of parameter group.

[1102] As an embodiment, the sixth processor compares the real measurement result with the first type of output, and the obtained error is used to generate the second type of feedback.

[1103] As an embodiment, the sixth processor generates the second type of feedback through performance monitoring.

[1104] 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 first data set to trigger or assist the fourth processor to recalculate the target first type of parameter group.

[1105] 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.

[1106] 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.

[1107] 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.

[1108] As an example, the ML includes AI.

[1109] As an example, the ML includes ML and AI.

[1110] Example 23

[1111] Example 23 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 23 shown. Appendix Figure 23 includes a second operation, a third operation, a fourth operation, a fifth operation, and a sixth operation. In Example 23, the second operation and the third operation belong to the first phase, the fourth operation belongs to the second phase, the fifth operation belongs to the third phase, and the sixth operation belongs to the fourth phase. In the appendix Figure 23 The arrowed lines indicate the order of the process.

[1112] As an example, the second operation includes ML training, the third operation includes ML testing, the fourth operation includes ML emulation, the fifth operation includes ML entity loading, and the sixth operation includes inference.

[1113] As an example, the first phase includes a training phase, the second phase includes an emulation phase, the third phase includes a deployment phase, and the fourth phase includes an inference phase.

[1114] As an example, the first stage includes model training of the ML model.

[1115] As an example, the first stage includes model training and testing of the ML model.

[1116] As an example, the model training of the ML model includes initial training and re-training of one or a group of ML models.

[1117] As an example, the model training of the ML model depends on training data.

[1118] As an example, the model training of the ML model includes validation of the ML entity.

[1119] As an example, the validation of the ML entity is used to evaluate the performance of the ML entity.

[1120] As an example, the validation of the ML entity depends on validation data.

[1121] As an example, if the result of the validation of the ML entity does not meet the expectation, the ML model will be re-trained.

[1122] As an example, the testing of the ML model includes testing the validated ML entity to evaluate the performance of the trained ML model.

[1123] As an example, if the result of the testing of the ML model meets the expectation, the ML entity proceeds to the next stage; otherwise, the ML model will be re-trained.

[1124] As an example, the testing of the ML model depends on test data.

[1125] As an example, the second stage includes ML simulation, and the ML simulation performs inference of the ML entity in a simulation environment.

[1126] As an example, the ML simulation estimates the performance of the inference of the ML entity in a simulation environment before using the ML entity.

[1127] As an example, the second stage is optional.

[1128] As an example, the third stage includes ML entity loading, which is for obtaining a trained ML entity to achieve a desired AI inference function.

[1129] As an example, the third stage is optional.

[1130] As an example, when the training function and the inference function are co-located, the third stage is no longer required.

[1131] As an example, the fourth stage includes AI inference or ML inference.

[1132] As an example, the ML includes AI.

[1133] As an example, the AI includes ML.

[1134] Example 24

[1135] Example 24 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 24 as shown.

[1136] In Example 24, 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.

[1137] In Example 24, the RAN domain-specific management function provides the management capabilities for the AI training function and the AI inference function.

[1138] Example 25

[1139] Example 25 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 25 as shown.

[1140] In Example 25, the AI training function is located in the RAN domain-specific management function, and the AI inference function is located locally in the UE.

[1141] In Example 25, 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.

[1142] In the appendix Figure 25 MnF refers to Management Function.

[1143] Example 26

[1144] Example 26 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 26 as shown.

[1145] In Example 26, both the AI training function and the AI inference function are located in the UE, where the UE provides the capabilities of training and inference.

[1146] In Example 26, the RAN-domain specific management function provides the management capabilities of the AI training function and the AI inference function.

[1147] Example 27

[1148] 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.

[1149] In Example 27, both the AI training function and the AI inference function are located in the UE.

[1150] In Example 27, the management capabilities of the AI training function and the AI inference function are both provided locally by the UE.

[1151] In the appendix Figure 27 MnF refers to Management Function.

[1152] Example 28

[1153] Example 28 illustrates a block diagram of the processing device in the first node according to an embodiment of the present application; as shown in the appendix Figure 28 as shown. In the appendix Figure 28 the processing device 2800 in the first node includes a first receiver 2801 and a first transmitter 2802.

[1154] As an embodiment, the first node is a user equipment.

[1155] As an embodiment, the user equipment is a terminal.

[1156] As an embodiment, the first node is a terminal.

[1157] As an embodiment, the first node is a relay node device.

[1158] As an example, the first receiver 2801 includes at least one of {antenna 452, receiver 454, receiving processor 456, multi-antenna receiving processor 458, controller / processor 459, memory 460, data source 467} in Embodiment 4.

[1159] As an example, the first transmitter 2802 includes at least one of {antenna 452, transmitter 454, transmitting processor 468, multi-antenna transmitting processor 457, controller / processor 459, memory 460, data source 467} in Embodiment 4.

[1160] The first receiver 2801 measures on at least a first set of RS resources.

[1161] The first transmitter 2802 transmits a first information block, and the first information block includes a first accuracy rate.

[1162] In Embodiment 28, the first accuracy rate depends on a first CSI and a second CSI, and at least the first CSI of the first CSI and the second CSI depends on the measurement on the first set of RS resources. The first accuracy rate is conditional on occupying N first-type resources, and N is a positive integer.

[1163] As an example, the first CSI depends on inference.

[1164] As an example, the at least first set of RS resources only includes the first set of RS resources, and both the first CSI and the second CSI depend on the measurement on the first set of RS resources.

[1165] As an example, the at least first set of RS resources includes a first set of RS resources and a second set of RS resources. The first CSI depends on the measurement on the first set of RS resources, and the second CSI depends on the measurement on the second set of RS resources.

[1166] As an example, the first CSI includes an identifier of at least one predicted beam, and the second CSI includes an identifier of at least one measured beam; the first accuracy rate being conditional on occupying N first-type resources includes: the first accuracy rate indicates the accuracy of the at least one predicted beam under the condition that the number of first-type resources occupied by the calculation of the first CSI is not less than the N.

[1167] As an example, the first CSI includes the identification of at least one predicted beam, and the second CSI includes the identification of at least one measured beam; the first accuracy rate, on the condition of occupying N first - type resources, includes: the first accuracy rate indicates the accuracy of the at least one predicted beam on the condition that the number of first - type resources occupied by the calculation of the first CSI is N.

[1168] As an example, the first CSI includes at least one predicted RSRP, and the second CSI includes at least one measured RSRP; the first accuracy rate, on the condition of occupying N first - type resources, includes: the first accuracy rate indicates the accuracy of the at least one predicted RSRP on the condition that the number of first - type resources occupied by the calculation of the first CSI is not less than N.

[1169] As an example, the first CSI includes at least one predicted RSRP, and the second CSI includes at least one measured RSRP; the first accuracy rate, on the condition of occupying N first - type resources, includes: the first accuracy rate indicates the accuracy of the at least one predicted RSRP on the condition that the number of first - type resources occupied by the calculation of the first CSI is N.

[1170] As an example, it includes:

[1171] The first transmitter 2802 transmits a second information block, and the second information block indicates the N.

[1172] As an example, it includes:

[1173] The first receiver 2801 receives a second information block, and the second information block indicates the N.

[1174] As an example, it includes:

[1175] The first transmitter 2802 transmits a third information block, and the third information block indicates N0 first - type resources, where N0 is a positive integer greater than 1; among them, the N is not greater than the N0.

[1176] As an example, each of the N first - type resources includes one or more first - type sub - resources and one or more second - type sub - resources, and at least the first - type sub - resources among the first - type sub - resources and the second - type sub - resources are used for inference.

[1177] Example 29

[1178] Example 29 exemplifies 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 29 shown. In the appendixFigure 29 In [description], the processing device 2900 in the second node includes a second transmitter 2901 and a second receiver 2902.

[1179] As an example, the second node is a base station.

[1180] As an example, the second node is a base station device.

[1181] As an example, the second node is a user equipment.

[1182] As an example, the second node is a relay node device.

[1183] As an example, the second node includes an OTT (Over-The-Top) server.

[1184] As an example, the second node includes an OAM (Operation Administration and Maintenance).

[1185] As an example, the second node includes a NAS device.

[1186] As an example, the second node includes a core network device.

[1187] As an example, the second transmitter 2901 includes at least one of {antenna 420, transmitter 418, transmit processor 416, multi-antenna transmit processor 471, controller / processor 475, memory 476} in Embodiment 4.

[1188] As an example, the second receiver 2902 includes at least one of {antenna 420, receiver 418, receive processor 470, multi-antenna receive processor 472, controller / processor 475, memory 476} in Embodiment 4.

[1189] The second transmitter 2901 transmits RS on at least a first set of RS resources.

[1190] The second receiver 2902 receives a first information block, and the first information block includes a first accuracy rate.

[1191] In Embodiment 29, the first accuracy rate depends on the first CSI and the second CSI, and at least the first CSI of the first CSI and the second CSI depends on the measurement on the first set of RS resources. The first accuracy rate is conditional on occupying N first type resources, and N is a positive integer.

[1192] As an example, the first CSI depends on inference.

[1193] As an example, the at least first RS resource set only includes the first RS resource set, and both the first CSI and the second CSI rely on the measurements on the first RS resource set.

[1194] As an example, the at least first RS resource set includes a first RS resource set and a second RS resource set, the first CSI relies on the measurements on the first RS resource set, and the second CSI relies on the measurements on the second RS resource set.

[1195] As an example, the first CSI includes the identification of at least one predicted beam, and the second CSI includes the identification of at least one measured beam; the first accuracy rate, conditional on occupying N first - type resources, includes: the first accuracy rate indicates the accuracy of the at least one predicted beam under the condition that the number of first - type resources occupied by the calculation of the first CSI is not less than N.

[1196] As an example, the first CSI includes the identification of at least one predicted beam, and the second CSI includes the identification of at least one measured beam; the first accuracy rate, conditional on occupying N first - type resources, includes: the first accuracy rate indicates the accuracy of the at least one predicted beam under the condition that the number of first - type resources occupied by the calculation of the first CSI is N.

[1197] As an example, the first CSI includes at least one predicted RSRP, and the second CSI includes at least one measured RSRP; the first accuracy rate, conditional on occupying N first - type resources, includes: the first accuracy rate indicates the accuracy of the at least one predicted RSRP under the condition that the number of first - type resources occupied by the calculation of the first CSI is not less than N.

[1198] As an example, the first CSI includes at least one predicted RSRP, and the second CSI includes at least one measured RSRP; the first accuracy rate, conditional on occupying N first - type resources, includes: the first accuracy rate indicates the accuracy of the at least one predicted RSRP under the condition that the number of first - type resources occupied by the calculation of the first CSI is N.

[1199] As an example, it includes:

[1200] The second receiver 2902 receives a second information block, and the second information block indicates the N.

[1201] As an example, it includes:

[1202] The second transmitter 2901 transmits a second information block, and the second information block indicates the N.

[1203] As an embodiment, it includes:

[1204] The second receiver 2902 receives a third information block, and the third information block indicates N0 first-type resources, where N0 is a positive integer greater than 1; wherein, the N is not greater than the N0.

[1205] As an embodiment, each of the N first-type resources includes one or more first-type sub-resources and one or more second-type sub-resources, and at least the first-type sub-resources among the first-type sub-resources and the second sub-resources are used for inference.

[1206] Those of ordinary skill in the art can understand that all or part of the steps in the above method can be completed by a program instructing relevant hardware. 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 in 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, unmanned aerial vehicles, communication modules on unmanned aerial vehicles, remote control aircraft, aircraft, small aircraft, mobile phones, tablet computers, notebooks, vehicle-mounted communication devices, wireless sensors, network cards, Internet of Things terminals, RFID terminals, NB-IOT terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, network cards, vehicle-mounted communication devices, low-cost mobile phones, low-cost tablet computers, and other wireless communication devices. The base station or system equipment in this application includes, but is not limited to, macrocell base stations, microcell base stations, home base stations, relay base stations, gNB (NR Node B), TRP (Transmitter Receiver Point), GNSS, relay satellites, satellite base stations, aerial base stations, RSU (Road Side Unit), unmanned aerial vehicles, test equipment (such as a transceiver or a signaling tester that simulates some functions of a base station), and other wireless communication devices.

[1207] The above is only a preferred embodiment of the present application and is not used to limit the protection scope of the present application. Any changes and modifications made based on the embodiments described in the specification, if they can achieve similar partial or all technical effects, should be regarded as obvious and fall within the protection scope of the present invention.

Claims

1. A method in a first node for wireless communication, characterized in that include: measuring on at least a first set of RS resources; Sending a first information block, wherein the first information block includes a first accuracy rate; The first accuracy rate depends on the first CSI and the second CSI, at least the first CSI among the first CSI and the second CSI depends on the measurement on the first RS resource set, and the first accuracy rate is conditional on occupying N first-category resources, where N is a positive integer.

2. The method in the first node according to claim 1, characterized in that: The first CSI relies on inference.

3. The method in the first node according to claim 1 or 2, characterized in that: The at least first RS resource set includes only the first RS resource set, and the first CSI and the second CSI both depend on the measurement on the first RS resource set.

4. The method in the first node according to any one of claims 1 to 3, characterized in that: The at least first RS resource set includes a first RS resource set and a second RS resource set, the first CSI depends on the measurement on the first RS resource set, and the second CSI depends on the measurement on the second RS resource set.

5. The method in the first node according to any one of claims 1 to 4, characterized in that: The first CSI includes an identifier of at least one predicted beam, and the second CSI includes an identifier of at least one measured beam; the first accuracy rate is conditional on occupying N first-category resources, including: the first accuracy rate indicates the accuracy of the at least one predicted beam under the condition that the number of first-category resources occupied by the calculation of the first CSI is not less than N, or under the condition that the number of first-category resources occupied by the calculation of the first CSI is N.

6. The method in the first node according to any one of claims 1 to 5, characterized in that: The first CSI includes at least one predicted RSRP, and the second CSI includes at least one measured RSRP; The first accuracy rate is conditional on occupying N first-class resources and includes: the first accuracy rate indication, under the condition that the number of first-class resources occupied by the calculation of the first CSI is not less than the N, or, under the condition that the number of first-class resources occupied by the calculation of the first CSI is the N, the accuracy of the at least one predicted RSRP.

7. The method in the first node according to any one of claims 1 to 6, characterized in that: include: A second information block is sent, wherein the second information block indicates the N.

8. The method in the first node according to any one of claims 1 to 6, characterized in that: include: A second information block is received, wherein the second information block indicates the N.

9. The method in the first node according to any one of claims 1 to 8, characterized in that: include: A third information block is sent, where the third information block indicates N0 first-category resources, where N0 is a positive integer greater than 1; wherein N is not greater than N0.

10. The method in the first node according to any one of claims 1 to 9, characterized in that: Each of the N first-category resources includes one or more first-category sub-resources and one or more second-category sub-resources, and at least the first-category sub-resource among the first-category sub-resources and the second-category sub-resources is used for reasoning.

11. A terminal, characterized in that: The terminal comprises: one or more processors and memory; The memory is coupled to the one or more processors, and the memory is used to store computer program codes, where the computer program codes include computer instructions. The one or more processors call the computer instructions to enable the terminal to execute the method according to any one of claims 1 to 10.

12. A method in a second node for wireless communication, characterized in that include: sending RS on at least a first set of RS resources; receiving a first information block, wherein the first information block includes a first accuracy rate; The first accuracy rate depends on the first CSI and the second CSI, at least the first CSI among the first CSI and the second CSI depends on the measurement on the first RS resource set, and the first accuracy rate is conditional on occupying N first-category resources, where N is a positive integer.

13. The method in the second node according to claim 12, characterized in that: The first CSI relies on inference.

14. The method in the second node according to claim 12 or 13, characterized in that: The at least first RS resource set includes only the first RS resource set, and the first CSI and the second CSI both depend on the measurement on the first RS resource set.

15. The method in the second node according to any one of claims 12 to 14, characterized in that: The at least first RS resource set includes a first RS resource set and a second RS resource set, the first CSI depends on the measurement on the first RS resource set, and the second CSI depends on the measurement on the second RS resource set.

16. The method in the second node according to any one of claims 12 to 15, characterized in that: The first CSI includes an identifier of at least one predicted beam, and the second CSI includes an identifier of at least one measured beam; the first accuracy rate is conditional on occupying N first-category resources, including: the first accuracy rate indicates the accuracy of the at least one predicted beam under the condition that the number of first-category resources occupied by the calculation of the first CSI is not less than N, or under the condition that the number of first-category resources occupied by the calculation of the first CSI is N.

17. The method in the second node according to any one of claims 12 to 16, characterized in that: The first CSI includes at least one predicted RSRP, and the second CSI includes at least one measured RSRP; The first accuracy rate is conditional on occupying N first-class resources and includes: the first accuracy rate indication, under the condition that the number of first-class resources occupied by the calculation of the first CSI is not less than the N, or, under the condition that the number of first-class resources occupied by the calculation of the first CSI is the N, the accuracy of the at least one predicted RSRP.

18. The method in the second node according to any one of claims 12 to 17, characterized in that: include: A second information block is received, wherein the second information block indicates the N.

19. The method in the second node according to any one of claims 12 to 17, characterized in that: include: A second information block is sent, wherein the second information block indicates the N.

20. The method in the second node according to any one of claims 12 to 19, characterized in that: include: A third information block is received, where the third information block indicates N0 first-category resources, where N0 is a positive integer greater than 1; wherein N is not greater than N0.

21. The method in the second node according to any one of claims 12 to 20, characterized in that: Each of the N first-category resources includes one or more first-category sub-resources and one or more second-category sub-resources, and at least the first-category sub-resource among the first-category sub-resources and the second-category sub-resources is used for reasoning.

22. A base station, characterized in that: The base station comprises: one or more processors and memory; The memory is coupled to the one or more processors, and the memory is used to store computer program codes, where the computer program codes include computer instructions, and the one or more processors call the computer instructions to enable the base station to perform the method according to any one of claims 12 to 21.

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