Method and apparatus used in node for wireless communication

Abstract

Disclosed in the present application are a method and apparatus used in a node for wireless communication. The method comprises: a first processor sending a first report, which comprises channel information, wherein the first report depends on at least a first measurement result, and the payload size of the first report depends on whether the at least first measurement result comprises a second measurement result; and the first measurement result depends on measurement in a first time window, the second measurement result depends on measurement in a second time window, and the first time window is later than the second time window. The present application reduces the report overhead and improves the performance and robustness.

Description

A method and apparatus for use in a node for wireless communication

[0001] This application claims priority to Chinese Patent Application No. 202411441773.3, filed on October 15, 2024, entitled "A Method and Apparatus for Use in a Node for Wireless Communication", the entire contents of which are incorporated herein by reference. Technical Field

[0002] This application designs transmission methods and apparatus in wireless communication systems, and particularly relates to methods and apparatus related to measurement and reporting in wireless communication systems. Background Technology

[0003] As communication systems evolve from 5G (Generation) to 5G-Advanced and 6G, more advanced technologies are being proposed and researched to improve the performance of wireless communication systems in various aspects and meet the needs of more application scenarios. Typical technologies include, but are not limited to, AI (Artificial Intelligence) or ML (Machine Learning), full-duplex mode or sub-band non-overlapping full duplex (SBFD), and reconfigurable intelligent surface (RIS).

[0004] Compared to 5G systems, a significant characteristic of 6G systems will be their increased intelligence. AI / ML aims to dramatically improve the performance of wireless communications by leveraging advanced artificial intelligence and machine learning technologies. Utilizing AI / ML, 6G systems can not only intelligently provide high-quality services based on their perception and learning of the surrounding environment—such as scheduling, data reception, signal processing, encoding and decoding, measurement, and reporting—but also intelligently achieve network self-optimization and self-maintenance. Research on AI / ML technology was initiated in NR (New Radio) Release 18.

[0005] Compared to traditional processing methods, AI / ML has some unique characteristics, such as model dependence, training-based nature, deployment requirements, and different demands on computing / processing and storage capabilities compared to traditional technologies.

[0006] 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

[0007] The inventors discovered through research that AI / ML-based CSI generation / recovery may require utilizing other measurements beyond the current measurements (e.g., but not limited to those within coherent time-frequency resources). The more readily available other measurements, the better the performance of AI / ML-based CSI generation / recovery will be. In practical communication systems, considering factors such as channel variations and the instability of air interface transmission, the availability of other measurements is not always guaranteed. Therefore, ensuring the robustness of AI / ML-based CSI generation / recovery in this context is a problem that needs to be addressed.

[0008] To address the aforementioned problems, this application discloses a solution. It should be noted that while the motivation for this application stems from the application of AI / ML models, particularly AI / ML models utilizing other measurement results, this application is also applicable to other solutions, such as traditional measurement, calculation, and reporting solutions, as well as AI / ML models that do not utilize other measurement results. Although the specification of this application involves descriptions of some AI / ML models and algorithms, those skilled in the art will understand that these descriptions are not essential or irreplaceable for solutions related to wireless cellular communication. Furthermore, adopting a unified solution for different scenarios (including but not limited to AI / ML-based solutions and traditional measurement, calculation, and reporting solutions) helps reduce signaling overhead / complexity, hardware complexity, and cost. Unless otherwise specified, embodiments and features in any node of this application can be applied to any other node. Unless otherwise specified, embodiments and features in any embodiment of this application can be arbitrarily combined with each other.

[0009] When necessary, the interpretation of terms in this application shall refer to the definitions in the 3GPP specification protocol TS38 series, or the definitions in the 3GPP specification protocol TS28 series.

[0010] This application discloses a method used in a first node of wireless communication, comprising:

[0011] Send a first report, which includes channel information;

[0012] Wherein, the first report depends on at least a first measurement result, and the first reported load size depends on whether the at least first measurement result includes a second measurement result; the first measurement result depends on the measurement in a first time window, the second measurement result depends on the measurement in a second time window, and the first time window is later than the second time window.

[0013] As an example, the problem this application aims to solve includes: how to design the reporting of channel information to simultaneously adapt to the situation where the at least first measurement result includes or does not include the second measurement result; in the above method, the load size of the first report depends on whether the at least first measurement result includes the second measurement result, thus solving this problem.

[0014] As an example, the essence of the above method includes: the first measurement result is the current measurement result, and the second measurement result is the past measurement result. When there are available past measurement results, the generation of the first report can use a larger compression ratio to reduce the payload size and thus reduce air interface overhead; when there are no available past measurement results, the generation of the first report can use a smaller compression ratio and a larger payload size to improve the reporting reliability.

[0015] As an example, the advantages of the above method include: by utilizing past measurement results, CSI is further compressed, reducing the overhead of CSI reporting.

[0016] As an example, the advantages of the above method include: minimizing reporting overhead while ensuring performance, thereby improving system performance.

[0017] As an example, the advantages of the above method include: providing a scheme for the load size of CSI reporting for AI or ML-based CSI feedback, which helps to fully leverage the advantages of AI or ML-based technologies to improve system performance.

[0018] As an example, the advantages of the above method include improved reporting performance and robustness.

[0019] As an example, the advantages of the above method include: good flexibility, adaptability to different terminals and different application scenarios.

[0020] According to one aspect of this application, it includes:

[0021] Measurements are taken on at least the first RS (Reference Signal) resource;

[0022] The at least first measurement result depends on the measurement on the at least first RS resource.

[0023] As an example, the advantages of the above method include: optimized measurement efficiency and reliability.

[0024] As an example, the advantages of the above method include good backward compatibility.

[0025] According to one aspect of this application, the load size reported first depends on the interval between the first time window and the second time window.

[0026] As an example, the essence of the above method includes: the compression ratio of the first report depends on the correlation between past measurement results and current measurement results. The closer the past measurement results and current measurement results are, the stronger the correlation between the two, and the higher the compression ratio can be used for the first report; the above method further optimizes the quality and overhead of the report.

[0027] As an example, the advantages of the above method include: helping to reduce reporting overhead, improving reporting quality, and thus improving the overall performance of the system.

[0028] According to one aspect of this application, the first report is sent in a first symbol group, and whether the at least first measurement result includes the second measurement result depends on the first symbol group.

[0029] As an example, the advantages of the above method include: allowing the first node to use only the current measurement results in certain specific reports, thereby improving robustness.

[0030] As an example, the advantages of the above method include: simple implementation and minimal changes to the standard.

[0031] As an example, the advantages of the above method include: reduced signaling overhead.

[0032] According to one aspect of this application, it includes:

[0033] Receive the first signaling;

[0034] Whether the at least first measurement result includes the second measurement result depends on the first signaling.

[0035] As an example, the advantages of the above method include: allowing the first reporting target recipient to flexibly indicate whether to use past measurement results based on actually available past measurement results, thereby improving robustness and further optimizing performance.

[0036] As an example, the advantages of the above method include: greater flexibility, further avoidance of unnecessary reporting overhead, and improved reporting efficiency.

[0037] According to one aspect of this application, the first report depends on the output of the first inference.

[0038] As an example, the advantages of the above method include: improving the performance of CSI reporting by utilizing AI or ML technologies.

[0039] According to one aspect of this application, the first inference is inference of a first model, which is one of M candidate models, where M is a positive integer greater than 1; which of the M candidate models the first model is depends on whether the at least first measurement result includes the second measurement result.

[0040] As an example, the advantages of the above method include: using different AI or ML models for different inputs, which facilitates more targeted model training and improves the performance of AI or ML models.

[0041] As an example, the advantages of the above method include: improving the performance of CSI reporting by utilizing AI or ML technologies.

[0042] According to one aspect of this application, the first report includes codebook-based CSI or compressed CSI; whether the first report includes codebook-based CSI or compressed CSI depends on whether the at least first measurement result includes the second measurement result.

[0043] As an example, the advantages of the above method include: making full use of existing codebook-based CSI and simplifying the design.

[0044] According to one aspect of this application, it includes:

[0045] Receive the first information block;

[0046] The first information block indicates a first upper limit and a first lower limit, which are the maximum and minimum values ​​of the first reported load size, respectively.

[0047] According to one aspect of this application, it includes:

[0048] Send the first information block;

[0049] The first information block indicates a first upper limit and a first lower limit, which are the maximum and minimum values ​​of the first reported load size, respectively.

[0050] As an example, the advantages of the above method include: more flexible design, adapting to different terminals and different scenarios.

[0051] According to one aspect of this application, it includes:

[0052] Receive the first configuration information block;

[0053] The first configuration information block indicates at least one of the at least first RS resource or the first reported configuration information.

[0054] As an example, the advantages of the above method include: flexible signaling design.

[0055] As an example, the advantages of the above method include good backward compatibility.

[0056] According to one aspect of this application, a terminal includes:

[0057] One or more processors and memory;

[0058] The memory is coupled to the one or more processors and is used to store computer program code, which includes computer instructions. The one or more processors invoke the computer instructions to cause the terminal to execute the method in the first node.

[0059] This application discloses a method used in a second node for wireless communication, comprising:

[0060] Receive the first report, which includes channel information;

[0061] Wherein, the first report depends on at least a first measurement result, and the first reported load size depends on whether the at least first measurement result includes a second measurement result; the first measurement result depends on the measurement in a first time window, the second measurement result depends on the measurement in a second time window, and the first time window is later than the second time window.

[0062] According to one aspect of this application, it includes:

[0063] Send RS on at least the first RS resource;

[0064] The at least first measurement result depends on the measurement on the at least first RS resource.

[0065] According to one aspect of this application, the load size reported first depends on the interval between the first time window and the second time window.

[0066] According to one aspect of this application, the first report is received in a first symbol group, and whether the at least first measurement result includes the second measurement result depends on the first symbol group.

[0067] According to one aspect of this application, it includes:

[0068] Send the first signaling;

[0069] Whether the at least first measurement result includes the second measurement result depends on the first signaling.

[0070] According to one aspect of this application, the first report depends on the output of the first inference.

[0071] According to one aspect of this application, the first inference is inference of a first model, which is one of M candidate models, where M is a positive integer greater than 1; which of the M candidate models the first model is depends on whether the at least first measurement result includes the second measurement result.

[0072] According to one aspect of this application, the first report includes codebook-based CSI or compressed CSI; whether the first report includes codebook-based CSI or compressed CSI depends on whether the at least first measurement result includes the second measurement result.

[0073] According to one aspect of this application, it includes:

[0074] Send the first information block;

[0075] The first information block indicates a first upper limit and a first lower limit, which are the maximum and minimum values ​​of the first reported load size, respectively.

[0076] According to one aspect of this application, it includes:

[0077] Receive the first information block;

[0078] The first information block indicates a first upper limit and a first lower limit, which are the maximum and minimum values ​​of the first reported load size, respectively.

[0079] According to one aspect of this application, it includes:

[0080] Send the first configuration information block;

[0081] The first configuration information block indicates at least one of the at least first RS resource or the first reported configuration information.

[0082] According to one aspect of this application, a base station includes:

[0083] One or more processors and memory;

[0084] The memory is coupled to the one or more processors and is used to store computer program code, which includes computer instructions. The one or more processors invoke the computer instructions to cause the base station to execute the method in the second node.

[0085] This application discloses a first node used for wireless communication, comprising:

[0086] The first processor sends a first report, which includes channel information;

[0087] Wherein, the first report depends on at least a first measurement result, and the first reported load size depends on whether the at least first measurement result includes a second measurement result; the first measurement result depends on the measurement in a first time window, the second measurement result depends on the measurement in a second time window, and the first time window is later than the second time window.

[0088] This application discloses a second node used for wireless communication, comprising:

[0089] The second processor receives the first report, which includes channel information;

[0090] Wherein, the first report depends on at least a first measurement result, and the first reported load size depends on whether the at least first measurement result includes a second measurement result; the first measurement result depends on the measurement in a first time window, the second measurement result depends on the measurement in a second time window, and the first time window is later than the second time window.

[0091] As an example, compared with conventional solutions, this application has the following advantages:

[0092] It reduces the overhead of reporting and improves the performance and robustness of reporting.

[0093] Fully leverage the advantages of AI or ML-based technologies to improve system performance;

[0094] Improved the flexibility of system design;

[0095] Good backward compatibility. Attached Figure Description

[0096] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0097] Figure 1 illustrates a flowchart of a first reporting according to an embodiment of this application;

[0098] Figure 2 shows a schematic diagram of a network architecture according to an embodiment of this application;

[0099] Figure 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture for the user plane and control plane according to an embodiment of this application;

[0100] Figure 4 shows a schematic diagram of a first communication device and a second communication device according to an embodiment of this application;

[0101] Figure 5 illustrates a flowchart of a transmission process according to an embodiment of this application;

[0102] Figure 6 illustrates a schematic diagram of at least a first measurement result depending on a measurement on at least a first RS resource according to an embodiment of this application;

[0103] Figure 7 shows a schematic diagram of RS in a first time window and a second time window according to an embodiment of this application;

[0104] Figure 8 illustrates a schematic diagram of the load size of a first report according to an embodiment of this application, which depends on the interval between two time windows;

[0105] Figure 9 illustrates a schematic diagram of a first report, a first symbol group, and at least a first measurement result according to an embodiment of this application;

[0106] Figure 10 shows a schematic diagram of a first group of symbols according to an embodiment of this application;

[0107] Figure 11 shows a schematic diagram of a first time pool according to an embodiment of this application;

[0108] Figure 12 shows a schematic diagram of the interval between adjacent time sub-pools according to an embodiment of this application;

[0109] Figure 13 shows a schematic diagram of the first signaling according to an embodiment of this application;

[0110] Figure 14 illustrates a schematic diagram of a first reporting relying on first inference according to an embodiment of this application;

[0111] Figure 15 illustrates a schematic diagram of a first reporting method according to an embodiment of the present application that relies on at least a first measurement result;

[0112] Figure 16 illustrates a schematic diagram of a first reporting method according to an embodiment of the present application that relies on at least a first measurement result;

[0113] Figure 17 shows a schematic diagram of the model on which the first inference is based according to an embodiment of this application;

[0114] Figure 18 shows a schematic diagram of a first model and M candidate models according to an embodiment of this application;

[0115] Figure 19 illustrates a schematic diagram of a first report according to an embodiment of this application, including codebook-based CSI or compressed CSI;

[0116] Figure 20 shows a schematic diagram of a first information block according to an embodiment of this application;

[0117] Figure 21 shows a schematic diagram of a first configuration information block according to an embodiment of this application;

[0118] Figure 22 shows a schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of this application;

[0119] Figure 23 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of this application;

[0120] Figure 24 shows a schematic diagram of AI function deployment according to an embodiment of this application;

[0121] Figure 25 shows a schematic diagram of AI function deployment according to an embodiment of this application;

[0122] Figure 26 shows a schematic diagram of AI function deployment according to an embodiment of this application;

[0123] Figure 27 shows a schematic diagram of AI function deployment according to an embodiment of this application;

[0124] Figure 28 shows a schematic diagram of a first encoder and a first decoder according to an embodiment of this application;

[0125] Figure 29 shows a structural block diagram of a processing apparatus for a first node according to an embodiment of the present application;

[0126] Figure 30 shows a structural block diagram of a processing apparatus for a second node according to an embodiment of the present application. Detailed Implementation

[0127] The technical solutions of this application will be further described in detail below with reference to the accompanying drawings. It should be noted that, unless otherwise specified, the embodiments and features in the embodiments of this application can be arbitrarily combined with each other. Considering factors such as flexibility, complexity, overhead, and compatibility, those skilled in the art are motivated to flexibly combine the embodiments in different drawings without conflict, such as (but not limited to) the embodiments in FIG1 and the embodiments in FIG5-FIG28, the embodiments in FIG5 and the embodiments in FIG6-FIG28, etc.

[0128] Example 1

[0129] Example 1 illustrates a flowchart of a first reporting according to an embodiment of this application, as shown in FIG1. ​​In 100 shown in FIG1, each box represents a step. In particular, the order of the steps in the boxes does not represent a specific temporal relationship between the steps.

[0130] In Embodiment 1, the first node in this application sends a first report in step 101, the first report including channel information; wherein, the first report depends on at least a first measurement result, the load size of the first report depends on whether the at least first measurement result includes a second measurement result; the first measurement result depends on the measurement in a first time window, the second measurement result depends on the measurement in a second time window, and the first time window is later than the second time window.

[0131] As an example, the first report includes CSI (Channel State Information) reporting.

[0132] As an example, the first report is a CSI report.

[0133] As an example, the first report is identified by a CSI-ReportConfigId.

[0134] As an example, the channel information includes one or more of the following: CQI (Channel Quality Indicator), PMI (Precoding Matrix Indicator), CRI (CSI-RS Resource Indicator), LI (Layer Indicator), RI (Rank Indicator), SSBRI (SS / PBCH Block Resource Indicator), RSRP (Reference Signal Received Power), SINR (Signal-to-Interference and Noise Ratio), Capability Index, and TDCP (Time Domain Channel Properties).

[0135] As one example, the channel information includes PMI.

[0136] As one example, the channel information includes PMI and RI.

[0137] As one example, the channel information includes PMI, RI, and CQI.

[0138] As one example, the channel information includes codebook-based CSI.

[0139] As an example, the codebook refers to the PMI codebook defined in 3GPP R18 or earlier.

[0140] As an example, the codebook refers to the Type II codebook.

[0141] As an example, the definition of the Type II codebook can be found in section 5.2.2 of 3GPP TS38.214.

[0142] As one example, the channel information includes CSI.

[0143] As one example, the channel information includes compressed CSI.

[0144] As one example, the channel information includes precoding information.

[0145] As one example, the channel information includes a precoding matrix.

[0146] As an example, the channel information is used to determine at least one precoding matrix.

[0147] As one embodiment, the channel information includes channel matrix information or feature vector information.

[0148] As one example, the channel information includes a channel matrix.

[0149] As one example, the channel information includes the channel impulse response.

[0150] As an example, the at least first measurement result depends on measurements on (one or more) RS resources.

[0151] As one example, the measurement includes channel measurement.

[0152] As one example, the measurement includes interference measurement.

[0153] As an example, the measurement includes the measurement of received power.

[0154] As an example, the measurement includes the measurement of the channel matrix.

[0155] As an example, the RS resources include CSI-RS (Channel State Information-Reference Signal) resources.

[0156] As an example, the RS resources include SS / PBCH block (Synchronization Signal / Physical Broadcast Channel block) resources.

[0157] As an example, the RS resource includes at least one of CSI-RS resources or SS / PBCH block resources.

[0158] As an example, the RS resources include CSI-RS resources and SS / PBCH block resources.

[0159] As an example, the at least first measurement result depends on channel measurements on one or more RS resources.

[0160] As an example, the first node obtains the at least first measurement result based on measurements on (one or more) RS resources.

[0161] As an example, the at least first measurement result includes channel parameters obtained by performing channel measurements on (one or more) RS resources.

[0162] As an example, the channel parameters include one or more of the following: raw channel matrix, eigenvector of the channel matrix, eigenvalue of the channel matrix, Type I codebook index, Type II codebook index, and enhanced Type II codebook.

[0163] As an example, the channel parameters include one or more of RSRP (Reference Signal Received Power), RSRQ (Reference Signal Received Quality), and SINR.

[0164] As an example, the channel parameters include one or more of the following: reception time, angle of arrival, and reception energy for each of the first path or the J strongest paths, where J is a positive integer.

[0165] As an example, performing channel measurement on (one or more) RS resources means performing channel measurement on RS transmitted on (one or more) RS resources.

[0166] As an example, the at least first measurement result includes only the first measurement result.

[0167] As one embodiment, the at least first measurement result includes the first measurement result and the second measurement result.

[0168] As an example, the at least first measurement result includes the first measurement result, the second measurement result, and at least one other measurement result.

[0169] As an example, any of the at least first measurement results depends on measurements on the same one or more RS resources.

[0170] As an example, any of the at least first measurement results depends on channel measurements on the same one or more RS resources.

[0171] As an example, all measurements in the at least first measurement result depend on measurements on the same one or more RS resources.

[0172] As an example, all measurements in the at least first measurement result depend on channel measurements on the same one or more RS resources.

[0173] As an example, any of the at least first measurement results includes channel parameters obtained by performing channel measurements on one or more RS resources.

[0174] As an example, all measurements in the at least first measurement result include the same type of channel parameters.

[0175] As an example, the calculation or generation of the first report depends on the at least first measurement result.

[0176] As an example, the calculation or generation of the first report does not depend on measurement results that do not belong to the at least first measurement result.

[0177] As an example, the first node calculates or generates the first report based on the at least first measurement result.

[0178] As an example, at least one channel information depends on other measurement results besides the first measurement result among the at least first measurement results, and the first node calculates or generates the first report based on the first measurement result and the at least one channel information.

[0179] As an example, other measurement results besides the first measurement result are used to generate the at least one channel information.

[0180] As one embodiment, the first report includes a codebook-based PMI, and the first node calculates the codebook-based PMI included in the first report based on the at least first measurement result.

[0181] As an example, the first reported payload size refers to the number of bits included in the first report.

[0182] As an example, when the at least first measurement result includes the second measurement result, the first reported load size is different from the first reported load size when the at least first measurement result does not include the second measurement result.

[0183] As an example, when the at least first measurement result includes the second measurement result, the first reported load size is smaller than the first reported load size when the at least first measurement result does not include the second measurement result.

[0184] As an example, the essence of the above method includes: when the at least first measurement result includes past measurement results, the generation of the first report can utilize the past measurement results with a larger compression ratio to obtain a lower load size while ensuring the accuracy of the report; when the at least first measurement result does not include past measurement results, the generation of the first report can use a smaller compression ratio to ensure the accuracy of the report.

[0185] As an example, the advantages of the above method include: minimizing reporting overhead while ensuring performance, thereby improving system performance.

[0186] As an example, the first reported compression ratio depends on whether the at least first measurement result includes the second measurement result.

[0187] As an example, when the at least first measurement result includes the second measurement result, the first reported compression ratio is different from the first reported compression ratio when the at least first measurement result does not include the second measurement result.

[0188] As an example, when the at least first measurement result includes the second measurement result, the first reported compression ratio is greater than the first reported compression ratio when the at least first measurement result does not include the second measurement result.

[0189] As an example, whether the at least first measurement result includes the second measurement result means whether the at least first measurement result includes a measurement result earlier than the first measurement result.

[0190] As an example, whether the at least first measurement result includes the second measurement result means whether the at least first measurement result includes a channel measurement result that precedes the first measurement result.

[0191] As an example, the first reported load size depending on whether the at least first measurement result includes a second measurement result means that the first reported load size depending on whether the at least first measurement result includes a measurement result earlier than the first measurement result.

[0192] As an example, the first reported load size depending on whether the at least first measurement result includes a second measurement result means that the first reported load size depending on whether the at least first measurement result includes a channel measurement result earlier than the first measurement result.

[0193] As an example, when the at least first measurement result does not include the second measurement result, the at least first measurement result only includes the first measurement result.

[0194] As an example, when the at least first measurement result does not include the second measurement result, the at least first measurement result does not include measurement results earlier than the first measurement result.

[0195] As an example, when the at least first measurement result does not include the second measurement result, the at least first measurement result does not include channel measurement results earlier than the first measurement result.

[0196] As an example, the first node and the first reporting target recipient have a consensus on whether the at least first measurement result includes the second measurement result.

[0197] As an example, the first node and the first reporting target recipient have a consensus on whether the at least first measurement result includes a measurement result earlier than the first measurement result.

[0198] As an example, the first node and the first reporting target recipient have a consensus on which measurement results are included in the at least first measurement result.

[0199] As an example, the first node and the target recipient of the first report have a consensus on the load size reported first.

[0200] As one embodiment, the first time window includes a positive integer number of symbols.

[0201] As one embodiment, the first time window comprises a positive integer number of consecutive symbols.

[0202] As one embodiment, the first time window includes a positive integer number of discontinuous symbols.

[0203] As one embodiment, the first time window includes a positive integer number of time slots.

[0204] As one embodiment, the first time window comprises a positive integer number of consecutive time slots.

[0205] As one embodiment, the first time window includes a positive integer number of discontinuous time slots.

[0206] As one embodiment, the first time window includes a positive integer number of subframes.

[0207] As one embodiment, the first time window comprises a positive integer number of consecutive subframes.

[0208] As one embodiment, the first time window includes a positive integer number of discontinuous subframes.

[0209] As one embodiment, the first time window includes a positive integer number of transmission occasions.

[0210] As one embodiment, the first time window includes a positive integer number of consecutive transmission opportunities.

[0211] As one embodiment, the first time window includes a positive integer number of discontinuous transmission opportunities.

[0212] As an example, the transmission opportunity refers to the transmission opportunity of one or more RS resources.

[0213] As an example, the transmission opportunity refers to the transmission opportunity of at least one RS resource among one or more RS resources.

[0214] As an example, the transmission opportunity refers to the transmission opportunity of one of the one or more RS resources.

[0215] As an example, the transmission opportunity refers to the transmission opportunity of each of one or more RS resources.

[0216] As an example, the first time window is configurable.

[0217] As an example, the first time window is configured by higher-layer signaling.

[0218] As an example, the first time window is configured by RRC (Radio Resource Control) signaling.

[0219] As an example, the first time window is configured by MAC CE (Medium Access Control layer Control Element).

[0220] As an example, the first measurement result depends on the measurement of one or more RS resources within the first time window.

[0221] As an example, the first measurement result depends on channel measurements of one or more RS resources within the first time window.

[0222] As an example, the first measurement result is obtained in the most recent measurement used to calculate or generate the first report.

[0223] As an example, the first measurement result is obtained in the most recent channel measurement used to calculate or generate the first report.

[0224] In a preferred embodiment, the first time window includes no later than the most recent transmission occasion reported by the first reporting.

[0225] In a preferred embodiment, the first time window includes a transmission occasion no later than the most recent one for the first reference resource, which depends on the time-frequency resource used to send the first report.

[0226] As an example, the first reference resource is the first reported CSI reference resource.

[0227] As an example, the specific definition of the CSI reference resource can be found in section 5.2 of 3GPP TS 38.214.

[0228] As one embodiment, the first reference resource includes at least one subband in the frequency domain.

[0229] As one embodiment, the first reference resource includes a set of downlink RBs (Resource Blocks) in the frequency domain.

[0230] As an example, the frequency domain resources of the first reference resource depend on the frequency domain resources involved in the first report.

[0231] As an example, the frequency domain resources of the first reference resource depend on the frequency domain resources targeted by the first report.

[0232] As an example, the first reference resource is defined in the frequency domain as a set of downlink RBs corresponding to the frequency band involved in the first report.

[0233] As an example, the frequency band involved in the first report includes at least one sub-band.

[0234] As one embodiment, the RB includes a PRB (Physical Resource Block).

[0235] As an example, RB refers to PRB.

[0236] As one embodiment, the first reference resource includes one or more consecutive symbols in the time domain.

[0237] As an example, the first reference resource includes a time slot in the time domain.

[0238] As an example, the temporal resource dependency of the first reference resource is used to send the first reported temporal resource.

[0239] As an example, the temporal domain resources of the first reference resource depend on the time slot in which the first report is located.

[0240] As an example, the first reference resource is defined in the time domain by a time slot (m - first reference offset - second reference offset), and the first report is allocated a time slot m1; m depends on m1, and the first reference offset and the second reference offset are both integers.

[0241] As a sub-implementation of the above embodiment, time slot m1 is the time slot where the first report is located.

[0242] As a sub-implementation of the above embodiments, m depends on the downlink subcarrier spacing configuration and the uplink subcarrier spacing configuration.

[0243] As a sub-implementation of the above embodiment, m is equal to the product of m1 and the first ratio rounded down plus the third reference offset; the third reference offset is an integer; the first ratio depends on the downlink subcarrier spacing configuration and the uplink subcarrier spacing configuration.

[0244] As a reference embodiment of the above sub-example, the third reference offset depends on the higher-level parameter ca-SlotOffset.

[0245] As a reference embodiment of the above sub-example, the third reference offset depends on the downlink subcarrier spacing configuration.

[0246] As a sub-implementation of the above embodiments, the first reference offset is related to the downlink subcarrier spacing configuration.

[0247] As a sub-implementation of the above embodiments, the first reference offset ensures that the first reference resource and the CSI request that triggered the first report are in the same valid downlink time slot.

[0248] As a sub-implementation of the above embodiments, the first reference offset is the minimum value that is greater than or equal to the first threshold and causes the slot (m - the first reference offset) to correspond to a valid downlink slot; the first threshold is an integer.

[0249] As a reference embodiment of the above sub-example, the first threshold is related to the downlink subcarrier spacing configuration.

[0250] As a reference embodiment of the above sub-example, the first threshold is related to the delay requirement.

[0251] As a sub-implementation of the above embodiment, the second reference offset is equal to 0.

[0252] As a sub-implementation of the above embodiments, the second reference offset is not equal to 0.

[0253] As a sub-implementation of the above embodiments, the second reference offset depends on the higher-level parameter CellSpecificKoffset.

[0254] As a sub-implementation of the above embodiments, the second reference offset depends on the Differential Koffset MAC CE command.

[0255] As a sub-implementation of the above embodiments, the second reference offset depends on the downlink subcarrier spacing configuration.

[0256] As an example, the downlink subcarrier spacing configuration is the subcarrier spacing configuration of the RS resources used to obtain the channel measurement of the first measurement result.

[0257] As an example, the uplink subcarrier spacing configuration is the first reported subcarrier spacing configuration.

[0258] As an example, a time slot is called a valid downlink time slot if the time slot includes at least one DL or flexible symbol configured by a higher-layer signaling, and the time slot does not fall within the measurement gap configured for the first node.

[0259] As an example, the first measurement result depends on the measurement of one or more RS resources within the first time window, which includes the most recent transmission opportunity of the one or more RS resources no later than the first report.

[0260] As an example, the first measurement result depends on the measurement of one or more RS resources within the first time window, the first time window including the most recent transmission opportunity of each of the one or more RS resources no later than the first report.

[0261] As an example, the first measurement result depends on the measurement of one or more RS resources within the first time window, the first time window including the most recent transmission opportunity of at least one of the one or more RS resources no later than the first reported.

[0262] As an example, the first measurement result depends on the measurement of one or more RS resources within the first time window, the first time window including the most recent transmission opportunity of the one or more RS resources no later than the first reference resource.

[0263] As an example, the first measurement result depends on the measurement of one or more RS resources within the first time window, the first time window including the most recent transmission opportunity of each of the one or more RS resources no later than the first reference resource.

[0264] As an example, the first measurement result depends on the measurement of one or more RS resources within the first time window, the first time window including the most recent transmission opportunity of at least one of the one or more RS resources no later than the first reference resource.

[0265] As one embodiment, the second time window includes a positive integer number of symbols.

[0266] As one embodiment, the second time window comprises a positive integer number of consecutive symbols.

[0267] As one embodiment, the second time window includes a positive integer number of discontinuous symbols.

[0268] As one embodiment, the second time window includes a positive integer number of time slots.

[0269] As one embodiment, the second time window comprises a positive integer number of consecutive time slots.

[0270] As one embodiment, the second time window includes a positive integer number of discontinuous time slots.

[0271] As one embodiment, the second time window comprises a positive integer number of subframes.

[0272] As one embodiment, the second time window comprises a positive integer number of consecutive subframes.

[0273] As one embodiment, the second time window includes a positive integer number of discontinuous subframes.

[0274] As one embodiment, the second time window includes a positive integer number of transmission opportunities.

[0275] As one embodiment, the second time window includes a positive integer number of consecutive transmission opportunities.

[0276] As one embodiment, the second time window includes a positive integer number of discontinuous transmission opportunities.

[0277] As an example, the second time window is configurable.

[0278] As one example, the second time window is configured by higher-layer signaling.

[0279] As one example, the second time window is configured by RRC signaling.

[0280] As an example, the second time window and the first time window are configured by the same RRC signaling.

[0281] As an example, the second time window is configured in MAC CE.

[0282] As an example, the first measurement result and the second measurement result depend on measurements on the same one or more RS resources.

[0283] As an example, the first measurement result and the second measurement result depend on channel measurements on the same one or more RS resources.

[0284] As an example, the first measurement result and the second measurement result include channel parameters obtained by performing channel measurements on the same one or more RS resources.

[0285] As an example, the first measurement result and the second measurement result include the same type of channel parameters.

[0286] As one example, the second measurement result depends on the measurement of one or more RS resources within the second time window.

[0287] As one example, the second measurement result depends on channel measurements of one or more RS resources within the second time window.

[0288] As one embodiment, the second time window includes one or more transmission opportunities earlier than the first time window.

[0289] As one embodiment, the second measurement result depends on the measurement of one or more RS resources in the second time window, the second time window including a transmission opportunity of the one or more RS resources earlier than the first time window.

[0290] As one embodiment, the second measurement result depends on the measurement of one or more RS resources in the second time window, the second time window including one transmission opportunity for each of the one or more RS resources earlier than the first time window.

[0291] As one embodiment, the second measurement result depends on the measurement of one or more RS resources in the second time window, the second time window including a transmission opportunity of at least one of the one or more RS resources earlier than the first time window.

[0292] As one example, the first time window and the second time window are orthogonal to each other.

[0293] As an example, the first measurement result depends only on the measurement within the first time window.

[0294] As an example, the first measurement result is independent of the measurement in the second time window.

[0295] As an example, the second measurement result depends only on the measurement within the second time window.

[0296] As an example, the second measurement result does not depend on the measurement in the first time window.

[0297] In a preferred embodiment, the at least first measurement result includes a plurality of measurement results, wherein the first measurement result is the latest of the plurality of measurement results.

[0298] As one embodiment, the at least first measurement result includes multiple measurement results, each of which depends on measurements taken in multiple time windows, wherein the first time window is the latest of the multiple time windows.

[0299] As one embodiment, the plurality of measurement results includes the first measurement result and the second measurement result.

[0300] As one embodiment, the first time window is later than the second time window, and the first time window and the second time window are orthogonal to each other.

[0301] As an example, any symbol in the first time window is later than any symbol in the second time window.

[0302] As an example, any time slot in the first time window is later than any time slot in the second time window.

[0303] As an example, any subframe in the first time window is later than any subframe in the second time window.

[0304] As an example, any transmission opportunity in the first time window is later than any transmission opportunity in the second time window.

[0305] Example 2

[0306] Example 2 illustrates a schematic diagram of a network architecture according to an embodiment of this application, as shown in Figure 2.

[0307] Figure 2 illustrates network architecture 200. Network architecture 200 is a 5G NR (New Radio) / LTE (Long-Term Evolution) / LTE-A (Long-Term Evolution Advanced) system, or a 5G+ network architecture, or a 6G network architecture, or a network architecture adopted in future evolutions by 3GPP; network architecture 200 may be referred to as 5GS (5G System) / EPS (Evolved Packet System), or 6GS (6G System); 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 interconnect with other access networks, but these entities / interfaces are not shown for simplicity. As shown, the network architecture 200 provides packet-switched services; however, those skilled in the art will readily understand that the various concepts presented throughout this application can be extended to networks providing circuit-switched services or other cellular networks. The RAN includes node 203. The RAN may also include other nodes 204. Node 203 provides user and control plane protocol termination toward UE 201. Node 203 may be connected to other nodes 204 via an Xn interface (e.g., backhaul) / X2 interface. Node 203 may 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 (transmitter-receiver node), or some other suitable 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 UE 201 with an access point to the core network 210.Examples of UE201 include cellular phones, smartphones, Session Initiation Protocol (SIP) phones, laptops, 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 IoT 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 UE201 as a mobile station, subscriber station, mobile unit, subscriber unit, radio unit, remote unit, mobile device, radio device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handheld device, user agent, mobile client, client, or any other suitable term. Node 203 is connected to the core network 210 via an S1 / NG interface. The core network 210 includes an MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MMEs / AMFs / SMFs 214, an S-GW (Service Gateway) / UPF (User Plane Function) 212, and a P-GW (Packet Data Network Gateway) / UPF 213. The MME / AMF / SMF 211 is the control node that handles signaling between the UE 201 and the core network 210. Generally, the MME / AMF / SMF 211 provides bearer and connection management. All user IP (Internet Protocol) 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. Internet services 230 include operator-compliant Internet protocol services, which may specifically include Internet, intranet, IMS (IP Multimedia Subsystem), and packet switching services.

[0308] As an example, the first node in this application includes the UE201.

[0309] As an example, the second node in this application includes node 203.

[0310] As an example, the wireless link between the UE201 and the node203 includes a cellular link.

[0311] As an example, the sender of the first report includes the UE201.

[0312] As an example, the recipient of the first report includes the node 203.

[0313] As an example, the sender of the first signaling includes the node 203.

[0314] As an example, the recipient of the first signaling includes the UE201.

[0315] As an example, the sender of the first information block includes the UE201.

[0316] As an example, the recipient of the first information block includes the node 203.

[0317] As an example, the sender of the first information block includes the node 203.

[0318] As an example, the recipient of the first information block includes the UE201.

[0319] As an example, the sender of the first configuration information block includes the node 203.

[0320] As an example, the recipient of the first configuration information block includes the UE201.

[0321] Example 3

[0322] Example 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture for the user plane and control plane according to an embodiment of this application, as shown in FIG3.

[0323] Example 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture for a user plane and control plane according to this application, as shown in FIG3. FIG3 is a schematic diagram illustrating an embodiment of a radio protocol architecture for a user plane 350 and a control plane 300. FIG3 shows the radio protocol architecture for the control plane 300 between a first communication node device (UE, gNB, or RSU in V2X) and a second communication node device (gNB, UE, or RSU in V2X), or between two UEs, using three layers: Layer 1, Layer 2, and Layer 3. Layer 1 (L1 layer) is the lowest layer and implements various PHY (physical layer) signal processing functions. The L1 layer will be referred to herein as PHY 301. 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 L2 305 includes a MAC (Medium Access Control) sublayer 302, an RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate at the second communication node device. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. It also provides security through encrypted data packets and supports cross-cell mobility between the second communication node devices and the first communication node device. The RLC sublayer 303 provides upper-layer packet segmentation and reassembly, retransmission of lost packets, and packet reordering to compensate for out-of-order reception due to HARQ. The MAC sublayer 302 provides multiplexing between logical and transport channels. It is also responsible for allocating various radio resources (e.g., resource blocks) within a cell among the first communication node devices. Furthermore, the MAC sublayer 302 handles HARQ operations. In the control plane 300, the Radio Resource Control (RRC) sublayer 306 of Layer 3 (L3) is responsible for acquiring radio resources (i.e., radio bearers) and configuring the lower layers using RRC signaling between the second and first communication node devices. The user plane 350's radio protocol architecture includes Layer 1 (L1) and Layer 2 (L2). The radio protocol architecture for the first and second communication node devices in the user plane 350 is largely the same as the corresponding layers and sublayers in the control plane 300 for Physical Layer 351, PDCP sublayer 354 in L2 Layer 355, RLC sublayer 353 in L2 Layer 355, and MAC sublayer 352 in L2 Layer 355. However, PDCP sublayer 354 also provides header compression for upper layer data packets to reduce radio transmission overhead.The L2 layer 355 in the user plane 350 also includes an SDAP (Service Data Adaptation Protocol) sublayer 356, which is responsible for mapping between QoS streams and data radio bearers (DRBs) to support service diversity. Although not illustrated, the first communication node device may have several upper layers above the L2 layer 355, including a network layer (e.g., IP layer) terminating at the P-GW on the network side and an application layer terminating at the other end of the connection (e.g., a remote UE, server, etc.).

[0324] As an example, the wireless protocol architecture in FIG3 is applicable to the first node in this application.

[0325] As an example, the wireless protocol architecture in FIG3 is applicable to the second node in this application.

[0326] As an example, the higher layer mentioned in this application refers to the layer above the physical layer.

[0327] As an example, the first report is generated in the PHY301 or the PHY351.

[0328] As an example, the first signaling is generated in the PHY301 or the PHY351.

[0329] As an example, the first signaling is generated in the MAC sublayer 302 or the MAC sublayer 352.

[0330] As an example, the first information block is generated in the RRC sublayer 306.

[0331] As an example, the first information block is generated in the MAC sublayer 302 or the MAC sublayer 352.

[0332] As an example, the first information block is generated in the PHY301 or the PHY351.

[0333] As an example, the first configuration information block is generated in the RRC sublayer 306.

[0334] Example 4

[0335] Example 4 illustrates a schematic diagram of a first communication device and a second communication device according to an embodiment of this application, as shown in FIG4. FIG4 is a block diagram of a first communication device 410 and a second communication device 450 communicating with each other in an access network.

[0336] The first communication device 410 includes a controller / processor 475, a memory 476, a receiver processor 470, a transmitter processor 416, a multi-antenna receiver processor 472, a multi-antenna transmitter processor 471, a transmitter / receiver 418, and an antenna 420.

[0337] 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.

[0338] 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 L2 layer functionality. In DL (Downlink), the controller / processor 475 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocation to the second communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for HARQ operation, 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 L1 layer (i.e., physical layer). Transmit processor 416 performs 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), and M-quadrature amplitude modulation (M-QAM). Multi-antenna transmit processor 471 performs digital spatial precoding on the encoded and modulated symbols, including codebook-based precoding and non-codebook-based precoding, and beamforming processing, generating one or more parallel... The transmit processor 416 then maps each parallel stream to a subcarrier, multiplexes the modulated symbols with a reference signal (e.g., a pilot) in the time and / or frequency domains, and then uses an inverse fast Fourier transform (IFFT) to generate a physical channel carrying the time-domain multicarrier symbol stream. The multi-antenna transmit processor 471 then performs transmit analog precoding / beamforming operations on the time-domain multicarrier symbol stream. Each transmitter 418 converts the baseband multicarrier symbol stream provided by the multi-antenna transmit processor 471 into an RF stream, which is then provided to a different antenna 420.

[0339] In the transmission from the first communication device 410 to the second communication device 450, at the second communication device 450, each receiver 454 receives a signal through its corresponding antenna 452. Each receiver 454 recovers the information modulated onto the radio frequency carrier and converts the radio frequency stream into a baseband multicarrier symbol stream, which is then provided to the receiver processor 456. The receiver processor 456 and the multi-antenna receiver processor 458 implement various signal processing functions of the L1 layer. The multi-antenna receiver processor 458 performs receive analog precoding / beamforming operations on the baseband multicarrier symbol stream from the receiver 454. The receiver processor 456 uses a Fast Fourier Transform (FFT) to convert the baseband multicarrier 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 receiver processor 456, where the reference signal is used for channel estimation, and the data signal is recovered in the multi-antenna receiver processor 458 after multi-antenna detection to recover any parallel stream destined for the second communication device 450. Symbols on each parallel stream are demodulated and recovered in the receive processor 456, generating soft decisions. The receive processor 456 then decodes and deinterleaves the soft decisions to recover the upper-layer data and control signals transmitted over the physical channel by the first communication device 410. The upper-layer data and control signals are then provided to the controller / processor 459. The controller / processor 459 implements the functions of Layer 2 (L2). The controller / processor 459 may be associated with a memory 460 storing program code and data. The memory 460 may be referred to as computer-readable media. In the DL (Layered Logic), the controller / processor 459 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transmission and logical channels to recover upper-layer packets from the core network. The upper-layer packets are then provided to all protocol layers above Layer 2. Various control signals may also be provided to Layer 3 (L3) for L3 processing. The controller / processor 459 is also responsible for error detection using ACK and / or NACK protocols to support HARQ operation.

[0340] In the transmission from the second communication device 450 to the first communication device 410, at the second communication device 450, a data source 467 is used to provide upper-layer data packets to the controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmission functions at the first communication device 410 described in the DL, the controller / processor 459 implements header compression, encryption, packet segmentation and reordering, and multiplexing between logical and transport channels based on the radio resource allocation of the first communication device 410, implementing L2 layer functions for the user plane and control plane. The controller / processor 459 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the first communication device 410. Transmit processor 468 performs modulation mapping and channel coding processing, while multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based and non-codebook-based precoding, and beamforming processing. Subsequently, transmit processor 468 modulates the generated parallel stream into a multi-carrier / single-carrier symbol stream. After analog precoding / beamforming operations in multi-antenna transmit processor 457, the stream is provided to different antennas 452 via transmitter 454. Each transmitter 454 first converts the baseband symbol stream provided by multi-antenna transmit processor 457 into a radio frequency symbol stream before providing it to antenna 452.

[0341] In the transmission from the second communication device 450 to the first communication device 410, the function at the first communication device 410 is similar to the receiving function at the second communication device 450 described in the transmission from the first communication device 410 to the second communication device 450. Each receiver 418 receives 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 receiving processor 472 and the receiving processor 470. The receiving processor 470 and the multi-antenna receiving processor 472 jointly implement the L1 layer functions. The controller / processor 475 implements the L2 layer functions. The controller / processor 475 may be associated with a memory 476 that stores program code and data. The memory 476 may be referred to as computer-readable media. The controller / processor 475 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transmission and logical channels to recover upper-layer data packets from the second communication device 450. The upper-layer data packets from the controller / processor 475 may be provided to the core network. The controller / processor 475 is also responsible for error detection using ACK and / or NACK protocols to support HARQ operation.

[0342] As one embodiment, the second communication device 450 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor. The second communication device 450 means at least: transmitting a first report, the first report including channel information; wherein the first report depends on at least one first measurement result, the payload size of the first report depending on whether the at least one first measurement result includes a second measurement result; the first measurement result depends on a measurement in a first time window, the second measurement result depends on a measurement in a second time window, the first time window being later than the second time window.

[0343] As one embodiment, the second communication device 450 includes: a memory storing a computer-readable instruction program that, when executed by at least one processor, produces actions including: sending a first report, the first report including channel information; wherein the first report depends on at least a first measurement result, the payload size of the first report depends on whether the at least first measurement result includes a second measurement result; the first measurement result depends on a measurement in a first time window, the second measurement result depends on a measurement in a second time window, the first time window being later than the second time window.

[0344] As one embodiment, 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 means at least: receiving a first report, the first report including channel information; wherein the first report depends on at least one first measurement result, the load size of the first report depending on whether the at least one first measurement result includes a second measurement result; the first measurement result depends on a measurement in a first time window, the second measurement result depends on a measurement in a second time window, the first time window being later than the second time window.

[0345] As one embodiment, the first communication device 410 includes: a memory storing a computer-readable instruction program that, when executed by at least one processor, produces an action including: receiving a first report, the first report including channel information; wherein the first report depends on at least a first measurement result, the payload size of the first report depends on whether the at least first measurement result includes a second measurement result; the first measurement result depends on a measurement in a first time window, the second measurement result depends on a measurement in a second time window, the first time window being later than the second time window.

[0346] As an example, the first node in this application includes the second communication device 450.

[0347] As an example, the second node in this application includes the first communication device 410.

[0348] As an example, at least one of {the antenna 452, the receiver 454, the receiver processor 456, the multi-antenna receiver processor 458, the controller / processor 459, the memory 460, and the data source 467} is used for measurement on the at least first RS resource in this application; at least one of {the antenna 420, the transmitter 418, the transmitter processor 416, the multi-antenna transmitter processor 471, the controller / processor 475, and the memory 476} is used for transmitting RS on the at least first RS resource in this application.

[0349] As an example, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first signaling in this application; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to transmit the first signaling in this application.

[0350] As an example, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first information block in this application; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to transmit the first information block in this application.

[0351] As an example, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first configuration information block in this application; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to transmit the first configuration information block in this application.

[0352] As an example, at least one of {the antenna 452, the transmitter 454, the transmitter processor 468, the multi-antenna transmitter processor 457, the controller / processor 459, and the memory 460} is used to transmit the first report in this application; at least one of {the antenna 420, the receiver 418, the receiver processor 470, the multi-antenna receiver processor 472, the controller / processor 475, and the memory 476} is used to receive the first report in this application.

[0353] As an example, at least one of {the antenna 452, the transmitter 454, the transmitter processor 468, the multi-antenna transmitter processor 457, the controller / processor 459, and the memory 460} is used to transmit the first information block in this application; at least one of {the antenna 420, the receiver 418, the receiver processor 470, the multi-antenna receiver processor 472, the controller / processor 475, and the memory 476} is used to receive the first information block in this application.

[0354] Example 5

[0355] Example 5 illustrates a transmission flowchart according to an embodiment of this application, as shown in FIG5. In FIG5, the first node U01 and the second node N02 are two communication nodes transmitting through the air interface, wherein the steps in dashed boxes F51 to F59 are optional.

[0356] For the first node U01, in step S5101, M candidate models are deployed; in step S5102, a first configuration information block is received; in step S5103, a first information block is received; in step S5104, a first information block is sent; in step S5105, a first signaling is received; in step S5106, measurements are taken on at least a first RS resource; in step S5107, a first inference is performed; and in step S5108, a first report is sent.

[0357] For the second node N02, M1 candidate models are deployed in step S5201; a first configuration information block is sent in step S5202; a first information block is sent in step S5203; the first information block is received in step S5204; a first signaling is sent in step S5205; an RS is sent on at least a first RS resource in step S5206; a first report is received in step S5207; and a second inference is performed in step S5208.

[0358] In Embodiment 5, the first report includes channel information; the first report depends on at least a first measurement result, and the load size of the first report depends on whether the at least first measurement result includes a second measurement result; the first measurement result depends on a measurement in a first time window, the second measurement result depends on a measurement in a second time window, and the first time window is later than the second time window.

[0359] As an example, the first node U01 is the first node in this application.

[0360] As an example, the second node N02 is the second node in this application.

[0361] As one embodiment, the air interface between the second node N02 and the first node U01 includes a wireless interface between the base station equipment and the user equipment.

[0362] As one embodiment, the air interface between the second node N02 and the first node U01 includes a wireless interface between the relay node device and the user equipment.

[0363] As one embodiment, the air interface between the second node N02 and the first node U01 includes a wireless interface between user equipment and user equipment.

[0364] As one example, the second node N02 is the serving cell sustaining base station of the first node U01.

[0365] As one embodiment, the second node N02 includes a network device.

[0366] As one embodiment, the second node N02 includes an OTT server (Over-The-Top server).

[0367] As an example, the second node N02 includes OAM (Operation Administration and Maintenance).

[0368] As one embodiment, the second node N02 includes a NAS device.

[0369] As one embodiment, the second node N02 includes core network equipment.

[0370] As one example, the load size reported first depends on the interval between the first time window and the second time window.

[0371] As one embodiment, the first report is sent in a first symbol group, and whether the at least first measurement result includes the second measurement result depends on the first symbol group.

[0372] As one embodiment, the first report includes codebook-based CSI or compressed CSI; whether the first report includes codebook-based CSI or compressed CSI depends on whether the at least first measurement result includes the second measurement result.

[0373] As an example, the step in the dashed box F51 exists, and the M candidate models need to be deployed.

[0374] As an example, the step in the dashed box F51 is not present, and the M candidate models do not need to be deployed.

[0375] As an example, the steps in dashed box F51 exist, and the method used in the first node of wireless communication includes: deploying the M candidate models.

[0376] As an example, at least one of the M candidate models needs to be deployed.

[0377] As an example, at least one of the M candidate models does not need to be deployed.

[0378] As an example, an example of deploying a model can be found in Example 17.

[0379] As an example, the step in dashed box F52 exists, and the M1 candidate models need to be deployed.

[0380] As an example, the step in dashed box F52 is not present, and the M1 candidate models do not need to be deployed.

[0381] As an example, the steps in dashed box F52 exist, and the method used in the second node for wireless communication includes: deploying the M1 candidate models, where M1 is a positive integer.

[0382] As an example, M1 is equal to M.

[0383] As an example, M1 is not equal to M.

[0384] As an example, M1 is greater than M.

[0385] As an example, any one of the M1 candidate models is the inverse operation of one of the M candidate models.

[0386] As an example, any one of the M1 candidate models and its corresponding inverse model are associated with the same identifier.

[0387] As a sub-example of the above embodiment, the model of the corresponding inverse operation is one of the M candidate models.

[0388] As an example, the M1 candidate models are unknown to the first node.

[0389] As an example, any one of the M1 candidate models is an AI model or an ML model.

[0390] As an example, any one of the M1 candidate models can be used for the second inference.

[0391] As an example, any one of the M1 candidate models is used for the second inference.

[0392] As an example, any one of the M1 candidate models can be used to perform the second inference.

[0393] As an example, any one of the M1 candidate models is used to perform the second inference.

[0394] As an example, the second node may use one of the M1 candidate models to perform the second inference.

[0395] As an example, the second node performs the second inference using one of the M1 candidate models.

[0396] As an example, any one of the M1 candidate models is based on training.

[0397] As an example, any one of the M1 candidate models is obtained through training.

[0398] As an example, the training of at least one of the M1 candidate models is performed by the second node.

[0399] As an example, the training of at least one of the M1 candidate models is performed by the core network.

[0400] As an example, the training of at least one of the M1 candidate models is performed by the MDA (Management Data Analytics Function).

[0401] As an example, the training of at least one of the M1 candidate models is performed by NWDAF (Network Data Analytics Function).

[0402] As an example, the training of at least one of the M1 candidate models is performed by the MDAS (Management Data Analytics Service) producer.

[0403] As an example, the training of at least one of the M1 candidate models is performed by the MnS producer.

[0404] As an example, any of the M1 candidate models includes inference.

[0405] As an example, any one of the M1 candidate models is inference.

[0406] As an example, any one of the M1 candidate models includes an AI entity.

[0407] As an example, any of the M1 candidate models includes the part of an AI entity used for inference.

[0408] As an example, the inference of any of the M1 candidate models is performed by an AI entity or AI function.

[0409] As an example, the inference of any of the M1 candidate models is performed by an AI entity or AI function deployed on the second node.

[0410] As one example, the AI ​​function includes AI inference functionality.

[0411] As one example, the AI ​​functionality includes AI training functionality.

[0412] As one example, the AI ​​functionality includes AI management functionality.

[0413] As one example, the AI ​​includes ML.

[0414] As one example, the AI ​​includes AI and ML.

[0415] As one example, the AI ​​includes AI or ML.

[0416] As an example, any one of the M1 candidate models is based on artificial intelligence or machine learning.

[0417] As an example, any one of the M1 candidate models is based on a neural network.

[0418] As an example, any one of the M1 candidate models includes inference for CSI.

[0419] As an example, any one of the M1 candidate models includes inference for data reception.

[0420] As an example, any one of the M1 candidate models includes inference for localization.

[0421] As an example, any one of the M1 candidate models includes inference for scheduling.

[0422] As an example, any one of the M1 candidate models includes reasoning for semantic-based error correction.

[0423] As an example, the output of the inference of any of the M1 candidate models includes channel information.

[0424] As an example, the inference output of any of the M1 candidate models includes location information.

[0425] As an example, the output of the inference of any of the M1 candidate models includes the recovered TB (Transport Block) or CB (Code Block).

[0426] As an example, the inference output of any of the M1 candidate models includes a scheduling result.

[0427] As an example, at least one of the M1 candidate models needs to be deployed.

[0428] As an example, at least one of the M1 candidate models is obtained by loading.

[0429] As an example, at least one of the M1 candidate models is obtained from the second node.

[0430] As an example, at least one of the M1 candidate models is obtained from the core network.

[0431] As an example, at least one of the M1 candidate models does not require deployment.

[0432] As an example, the steps in dashed box F53 exist, and the method used in the first node for wireless communication includes: receiving a first configuration information block; wherein the first configuration information block indicates at least one of the at least first RS resource or the first reported configuration information.

[0433] As an example, the steps in dashed box F53 exist, and the method used in the second node for wireless communication includes: sending a first configuration information block; wherein the first configuration information block indicates at least one of the at least first RS resource or the first reported configuration information.

[0434] As an example, at most one of the steps in dashed boxes F54 and F55 exists.

[0435] As an example, the steps in dashed boxes F54 and F55 are not present.

[0436] As an example, the step in dashed box F54 exists, while the step in dashed box F55 does not exist.

[0437] As an example, the step in dashed box F54 is not present, while the step in dashed box F55 is present.

[0438] As an example, the steps in dashed box F54 exist, and the method used in the first node for wireless communication includes: receiving a first information block; wherein the first information block indicates a first upper limit and a first lower limit, the first upper limit and the first lower limit being the maximum and minimum values ​​of the first reported load size, respectively.

[0439] As an example, the step in dashed box F54 exists, and the method used in the second node for wireless communication includes: sending a first information block; wherein the first information block indicates a first upper limit and a first lower limit, the first upper limit and the first lower limit being the maximum and minimum values ​​of the first reported load size, respectively.

[0440] As an example, the steps in the dashed box F55 exist, and the method used in the first node for wireless communication includes: sending a first information block; wherein the first information block indicates a first upper limit and a first lower limit, the first upper limit and the first lower limit being the maximum and minimum values ​​of the first reported load size, respectively.

[0441] As an example, the steps in dashed box F55 exist, and the method used in the second node for wireless communication includes: receiving a first information block; wherein the first information block indicates a first upper limit and a first lower limit, the first upper limit and the first lower limit being the maximum and minimum values ​​of the first reported load size, respectively.

[0442] As an example, the steps in dashed box F56 exist, and the method used in the first node for wireless communication includes: receiving a first signaling; wherein whether the at least first measurement result includes the second measurement result depends on the first signaling.

[0443] As an example, the steps in dashed box F56 exist, and the method used in the second node for wireless communication includes: sending a first signaling; wherein whether the at least first measurement result includes the second measurement result depends on the first signaling.

[0444] As an example, the steps in dashed box F57 exist, and the method used in the first node of wireless communication includes: measuring on at least a first RS resource; wherein the result of the at least first measurement depends on the measurement on the at least first RS resource.

[0445] As an example, the steps in dashed box F57 exist, and the method used in the second node for wireless communication includes: transmitting RS on at least a first RS resource; wherein the at least first measurement result depends on the measurement on the at least first RS resource.

[0446] As one embodiment, measuring on at least a first RS resource includes measuring on each RS resource of the at least one RS resource.

[0447] As one embodiment, measurement on at least a first RS resource includes: measurement on only a portion of the RS resources of the at least one RS resource.

[0448] As one embodiment, measuring on at least a first RS resource includes: measuring on the first RS resource.

[0449] As one embodiment, transmitting an RS on at least a first RS resource includes transmitting an RS on each RS resource of the at least one RS resource.

[0450] As one embodiment, transmitting an RS on at least a first RS resource includes: transmitting an RS on only a portion of the RS resources of the at least one RS resource.

[0451] As one embodiment, transmitting an RS on at least a first RS resource includes: transmitting an RS on the first RS resource.

[0452] As an example, the steps in dashed box F58 exist, and the method used in the first node for wireless communication includes: performing first inference.

[0453] As an example, the first report depends on the output of the first inference.

[0454] As an example, the first inference is the inference of a first model, which is one of M candidate models, where M is a positive integer greater than 1; which of the M candidate models the first model is depends on whether the at least first measurement result includes the second measurement result.

[0455] As an example, the first inference is the inference of one of the M candidate models.

[0456] As an example, the model on which the first inference is based is one of the M candidate models.

[0457] As an example, the steps in dashed box F59 exist, and the method used in the second node for wireless communication includes: performing second inference.

[0458] As an example, the second reasoning is the reasoning of one of the M1 candidate models, which is the inverse operation of the first model.

[0459] As an example, the model on which the second inference is based is one of the M1 candidate models, and the one of the M1 candidate models is the inverse operation of the first model.

[0460] As an example, the model on which the second inference is based is the inverse operation of the first model.

[0461] As an example, the model on which the second inference is based is associated with the same identifier as the first model.

[0462] As one example, the input to the second inference includes the first report.

[0463] As an example, the first report is part of the input to the second inference.

[0464] As one example, the first report is used as input to the second inference to recover channel information.

[0465] As one example, the first report compresses the CSI, and the output obtained by the second inference with the first report as input includes the decompressed CSI.

[0466] As an example, the output of the second inference includes channel information.

[0467] As one example, the output of the second inference includes the recovered channel information.

[0468] As one example, the second reasoning is used to recover the input of the first reasoning.

[0469] As an example, the second reasoning is the inverse operation of the first reasoning.

[0470] As an example, the second reasoning is based on artificial intelligence or machine learning.

[0471] As an example, the second reasoning is based on a neural network.

[0472] As one example, the second inference includes a decoder based on CSI compression using neural networks or CNNs (Conventional Neural Networks).

[0473] As one example, the first inference includes an encoder for CSI compression based on a neural network or CNN.

[0474] As an example, the second inference is based on training.

[0475] As an example, the model on which the second inference is based is obtained through training.

[0476] As an example, the training of the model on which the second inference is based is performed by an AI function.

[0477] As an example, the training of the model on which the second inference is based is performed by an AI function deployed on the second node.

[0478] As an example, the training of the model on which the second inference is based is performed by an AI entity.

[0479] As an example, the training of the model on which the second inference is based is performed by an AI entity deployed on the second node.

[0480] As an example, the training of the model on which the second inference is based is performed by the MnS producer.

[0481] As an example, the training of the model on which the second inference is based is performed by the MDA function.

[0482] As an example, the training of the model on which the second inference is based is performed by the MDAS producer.

[0483] As an example, the training of the model on which the second inference is based is performed by NWDAF.

[0484] As an example, the training of the model on which the second inference is based and the training of the model on which the first inference is based are performed by the same AI function.

[0485] As an example, the training of the model on which the second inference is based and the training of the model on which the first inference is based are performed by the same AI entity.

[0486] As an example, the training of the model on which the second inference is based and the training of the model on which the first inference is based are performed by different AI functions or different AI entities.

[0487] As an example, the training of the model on which the second inference is based and the training of the model on which the first inference is based are performed jointly.

[0488] As an example, the training of the model on which the second inference is based and the training of the model on which the first inference is based are performed separately.

[0489] As an example, the training of the model on which the second inference is based depends on the training results of the model on which the first inference is based.

[0490] As an example, the second reasoning is AI reasoning.

[0491] As an example, the second inference is ML inference.

[0492] As an example, the second inference is AI inference or ML inference.

[0493] As an example, the second inference is based on an AI model or an ML model.

[0494] As an example, the second inference is the inference of an AI model or an ML model.

[0495] As an example, the second inference is AI inference for CSI.

[0496] As an example, the second inference is AI inference for CSI recovery.

[0497] As an example, the second inference is AI inference for CSI decompression.

[0498] As an example, the second inference is performed by an AI entity deployed on the second node.

[0499] As an example, the second inference is performed by an AI function deployed on the second node.

[0500] As an example, the steps in the dashed box F58 are present.

[0501] As an example, the steps in the dashed box F59 are present.

[0502] As an example, the steps in dashed boxes F58 and F59 are both present.

[0503] As an example, the steps in dashed boxes F58 and F59 are not present.

[0504] As an example, the reception of the first configuration information block is earlier than the reception of the first information block.

[0505] As an example, the reception of the first configuration information block is later than the reception of the first information block.

[0506] As an example, the first configuration information block and the first information block are received together.

[0507] As an example, the first configuration information block and the first information block are received simultaneously.

[0508] As an example, the reception of the first configuration information block is earlier than the transmission of the first information block.

[0509] As one embodiment, the reception of the first configuration information block is later than the transmission of the first information block.

[0510] As an example, the first signaling occurs before the reception of the first information block.

[0511] As an example, the first signaling occurs after the reception of the first information block.

[0512] As an example, the reception of the first signaling precedes the measurement on the at least first RS resource.

[0513] As an example, the reception of the first signaling is later than the measurement on the at least first RS resource.

[0514] As one embodiment, measurements on a portion of the at least first RS resources occur earlier than the reception of the first signaling, while measurements on another portion of the at least first RS resources occur later than the reception of the first signaling.

[0515] As an example, the first configuration information block is transmitted on PDSCH (Physical Downlink Shared Channel).

[0516] As an example, the first node receives the first information block, which is transmitted on the PDSCH.

[0517] As one embodiment, the first node receives the first information block, and the first information block and the first configuration information block are transmitted on the same PDSCH.

[0518] As an example, the first node receives the first information block, and the first information block and the first configuration information block are transmitted on two PDSCHs respectively.

[0519] As an example, the first node sends the first information block, which is transmitted on PUSCH (Physical Uplink Shared Channel).

[0520] As an example, the first node sends the first information block, which is transmitted on the PUCCH (Physical Uplink Control Channel).

[0521] As an example, the first signaling is transmitted on the PDCCH (Physical Downlink Control Channel).

[0522] As an example, the first signaling is transmitted on the PDSCH.

[0523] As an example, the first report is transmitted on the PUSCH.

[0524] As an example, the first report is transmitted on the PUCCH.

[0525] Example 6

[0526] Example 6 illustrates a schematic diagram of at least a first measurement result depending on a measurement on at least a first RS resource according to an embodiment of the present application; as shown in FIG6.

[0527] In Example 6, the at least first measurement result depends on the measurement on the at least first RS resource.

[0528] As an example, the at least first RS resource includes only the first RS resource.

[0529] As one embodiment, the at least first RS resource includes one or more RS resources other than the first RS resource.

[0530] As an example, the at least first RS resource includes a CSI-RS resource.

[0531] As an example, the at least first RS resource includes SS / PBCH block resources.

[0532] As one embodiment, the at least first RS resource includes a DMRS (Demodulation Reference Signal).

[0533] As an example, the at least first RS resource includes a PRS (Positioning Reference Signal) resource.

[0534] As one embodiment, the at least first RS resource includes PTRS (Phase-Tracking Reference Signal).

[0535] As an example, the first RS resource is a CSI-RS resource.

[0536] As an example, the first RS resource is an SS / PBCH block resource.

[0537] As an example, the first RS resource is a DMRS.

[0538] As an example, the first RS resource is a PRS resource.

[0539] As an example, the first RS resource is PTRS.

[0540] As an example, measuring on at least a first RS resource means measuring the RS transmitted on the at least first RS resource.

[0541] As one embodiment, measurement on at least a first RS resource includes: measuring the RS transmitted on each of the at least first RS resources.

[0542] As one embodiment, measurement on at least a first RS resource includes: measuring RS transmitted on a portion of the at least first RS resources.

[0543] As an example, any of the at least first measurement results depends on the measurement on the at least first RS resource.

[0544] As an example, all of the measurements in the at least first measurement results depend on the measurements on the at least first RS resource.

[0545] As one embodiment, the at least first measurement result includes multiple measurement results, each of which depends on the measurement of the at least first RS resource in multiple time windows, wherein the first time window is the latest of the multiple time windows.

[0546] As one embodiment, the plurality of measurement results includes the first measurement result and the second measurement result.

[0547] As an example, the first measurement result depends on the measurement of the at least first RS resource within the first time window.

[0548] As an example, the first measurement result depends on channel measurements of the at least first RS resource within the first time window.

[0549] As an example, the first measurement result is used to calculate or generate the most recent measurement result for the at least first RS resource reported first.

[0550] As an example, the first measurement result is used to calculate or generate the most recent channel measurement result for the at least first RS resource reported first.

[0551] As an example, the first time window includes the most recent transmission opportunity of the at least first RS resource no later than the first report.

[0552] As an example, the first time window includes the latest transmission opportunity for each of the at least first RS resources no later than the first reported transmission.

[0553] As an example, the first time window includes at least one of the first RS resources, no later than the most recent transmission opportunity of the first reported data.

[0554] As one embodiment, the first time window includes the most recent transmission opportunity of the at least first RS resource no later than the first reference resource.

[0555] As one embodiment, the first time window includes the most recent transmission opportunity of each of the at least first RS resources no later than the first reference resource.

[0556] As an example, the first time window includes the most recent transmission opportunity of at least one of the at least first RS resources no later than the first reference resource.

[0557] As an example, the first measurement result depends on the measurement of the at least first RS resource within the first time window, the first time window including the most recent transmission opportunity of the at least first RS resource no later than the first report.

[0558] As an example, the first measurement result depends on the measurement of the at least first RS resources within the first time window, the first time window including the most recent transmission opportunity of each of the at least first RS resources no later than the first reported transmission.

[0559] As an example, the first measurement result depends on the measurement of the at least first RS resource within the first time window, the first time window including the most recent transmission opportunity of at least one of the at least first RS resources no later than the first reported.

[0560] As an example, the first measurement result depends on the measurement of the at least first RS resource within the first time window, the first time window including the most recent transmission opportunity of the at least first RS resource no later than the first reference resource.

[0561] As an example, the first measurement result depends on the measurement of the at least first RS resources within the first time window, the first time window including the most recent transmission opportunity of each of the at least first RS resources no later than the first reference resource.

[0562] As an example, the first measurement result depends on the measurement of the at least first RS resource within the first time window, the first time window including the most recent transmission opportunity of at least one of the at least first RS resources no later than the first reference resource.

[0563] As an example, the second measurement result depends on the measurement of the at least first RS resource within the second time window.

[0564] As an example, the second measurement result depends on channel measurements of the at least first RS resource during the second time window.

[0565] As one embodiment, the second time window includes one or more transmission opportunities for the at least first RS resource that are earlier than the first time window.

[0566] As one embodiment, the second time window includes a transmission opportunity for at least the first RS resource earlier than the first time window.

[0567] As one embodiment, the second time window includes one transmission opportunity for each of the at least first RS resources earlier than the first time window.

[0568] As one embodiment, the second time window includes a transmission opportunity earlier than the first time window for at least one of the at least first RS resources.

[0569] As one embodiment, the second measurement result depends on the measurement of the at least first RS resource in the second time window, the second time window including a transmission opportunity of the at least first RS resource earlier than the first time window.

[0570] As an example, the second measurement result depends on the measurement of the at least first RS resources in the second time window, the second time window including one transmission opportunity for each of the at least first RS resources earlier than the first time window.

[0571] As one embodiment, the second measurement result depends on the measurement of the at least first RS resource in the second time window, the second time window including a transmission opportunity of at least one of the at least first RS resources earlier than the first time window.

[0572] As an example, the first measurement result depends on the measurement of the at least first RS resource in the first time window, and the second measurement result depends on the measurement of the at least first RS resource in the second time window.

[0573] As an example, the first node obtains the at least first measurement result based on the measurement on the at least first RS resource.

[0574] As an example, the first node obtains each of the at least first measurement results based on the measurement on the at least first RS resource.

[0575] As an example, the first node obtains the first measurement result based on the measurement of the at least first RS resource in the first time window.

[0576] As an example, the first node obtains the first measurement result solely based on measurements of the at least first RS resource within the first time window.

[0577] As an example, the first node obtains the second measurement result based on the measurement of the at least first RS resource in the second time window.

[0578] As an example, the first node obtains the second measurement result solely based on the measurement of the at least first RS resource within the second time window.

[0579] How to obtain measurement results based on RS resources depends on the form of the measurement results. For example, standards have strict definitions for measurement results in the form of RSRP and RSRQ; while for measurement results such as eigenvectors, precoding matrices, and CQI, it is generally implementation-dependent, meaning it is left to each vendor to determine. The following describes a typical but non-limiting implementation method using precoding matrices and CQI as examples:

[0580] The first node first measures the downlink RS (e.g., RS on one or more RS resources in at least the first RS resources) to obtain the original channel matrix H. r×t Where r and t are the number of receiving antennas and the number of antenna ports used for transmitting, respectively; when using the precoding matrix W t×l Under these conditions, the encoded channel parameter matrix is ​​H r×t ·W t×l Where l is the rank or the number of layers; H is calculated using criteria such as SINR (Signal Interference Noise Ratio), EESM (Exponential Effective SINR Mapping), or RBIR (Received Block Mean Mutual Information Ratio). r×t ·W t×l The equivalent channel capacity is calculated. Furthermore, the calculation of the equivalent channel capacity can also consider the noise and interference estimated by the first node. If the downlink RS includes RS resources for interference measurement, the first node can utilize these RS resources to measure the interference or noise more accurately. The first node selects the precoding matrix corresponding to the maximum equivalent channel capacity from the candidate precoding matrix set as the virtual precoding matrix.

[0581] The CQI is determined by the equivalent channel capacity through methods such as table lookup.

[0582] For traditional non-AI / ML schemes, the set of candidate precoding matrices is a predefined codebook; for AI / ML schemes, the set of candidate precoding matrices can be a predefined codebook, a downloadable codebook, or a dataset; each data point in a dataset includes a precoding matrix.

[0583] Example 7

[0584] Example 7 illustrates a schematic diagram of RS in a first time window and a second time window according to an embodiment of this application; as shown in FIG7. In FIG7, diagonally filled boxes represent RS in at least a first RS resource in the first time window, and cross-line filled boxes represent RS in at least a first RS resource in the second time window.

[0585] In Example 7, the first measurement result depends on the measurement of the at least first RS resource in the first time window, and the second measurement result depends on the measurement of the at least first RS resource in the second time window.

[0586] As an example, the RS represented by the diagonally filled box and the RS represented by the cross-line filled box in FIG7 are transmitted in the same one or more RS resources in the at least first RS resource.

[0587] As an example, the RS represented by the diagonally filled box and the RS represented by the cross-line filled box in FIG7 are transmitted in different RS resources in the at least first RS resource.

[0588] As an example, the first measurement result depends on the measurement of RS represented by the diagonally filled box in FIG7, and the second measurement result depends on the measurement of RS represented by the cross-line filled box in FIG7.

[0589] As an example, the first node obtains the first measurement result based on the measurement of RS represented by the diagonally filled box in Figure 7, and the first node obtains the second measurement result based on the measurement of RS represented by the cross-line filled box in Figure 7.

[0590] Example 8

[0591] Example 8 illustrates a schematic diagram of the load size of a first report according to an embodiment of the present application depending on the interval between two time windows; as shown in FIG8.

[0592] In Example 8, the first reported load size depends on the interval between the first time window and the second time window.

[0593] As an example, the first node and the first reporting target recipient have a consensus on the interval between the first time window and the second time window.

[0594] As one embodiment, the interval between the first time window and the second time window includes the interval between the start time of the first time window and the start time of the second time window.

[0595] As one embodiment, the interval between the first time window and the second time window includes the interval between the end time of the first time window and the end time of the second time window.

[0596] As one embodiment, the interval between the first time window and the second time window includes the interval between the start time of the first time window and the end time of the second time window.

[0597] As one embodiment, the interval between the first time window and the second time window is represented by the number of symbols.

[0598] As one embodiment, the interval between the first time window and the second time window is represented as the number of time slots.

[0599] As one embodiment, the interval between the first time window and the second time window is represented as the number of subframes.

[0600] As an example, the unit of the interval between the first time window and the second time window is s, ms, or μs.

[0601] As an example, the interval between the first time window and the second time window is a positive integer multiple of a first value, and the at least first RS resource is periodic or semi-persistent, where the first value is the period of the at least first RS resource.

[0602] As an example, the at least first RS resource is periodic or quasi-static, and the periods of each RS resource in the at least first RS resource are equal, wherein the first value is the period of any RS resource in the at least first RS resource.

[0603] As an example, the at least first RS resource is periodic or quasi-static, and the first value is the period of the RS resource with the largest period among the at least first RS resources.

[0604] As an example, the first value is fixed.

[0605] As an example, the first value is predefined.

[0606] As an example, the first value is configured by a higher-layer signaling.

[0607] As an example, when the interval between the first time window and the second time window is equal to K1, the first reported load size is P1; when the interval between the first time window and the second time window is equal to K2, the first reported load size is P2; K1 is less than K2, and P1 is not greater than P2.

[0608] As an example, when the interval between the first time window and the second time window is equal to K1, the first reported load size is P1; when the interval between the first time window and the second time window is equal to K2, the first reported load size is P2; K1 is less than K2, and P1 is less than P2.

[0609] As an example, K1 and K2 are both non-negative integers, and the units of K1 and K2 are the same.

[0610] As an example, K1 and K2 are both non-negative integers, and both K1 and K2 represent the number of signs.

[0611] As an example, K1 and K2 are both non-negative integers, and both K1 and K2 represent the number of time slots.

[0612] As an example, K1 and K2 are both non-negative integers, and both K1 and K2 represent the number of subframes.

[0613] As an example, P1 and P2 are both positive integers.

[0614] As an example, when the interval between the first time window and the second time window is equal to K1, the first reported compression ratio is Q1; when the interval between the first time window and the second time window is equal to K2, the first reported compression ratio is Q2; K1 is less than K2, and Q1 is not less than Q2.

[0615] As an example, when the interval between the first time window and the second time window is equal to K1, the first reported compression ratio is Q1; when the interval between the first time window and the second time window is equal to K2, the first reported compression ratio is Q2; K1 is less than K2, and Q1 is greater than Q2.

[0616] As an example, Q1 and Q2 are real numbers.

[0617] As an example, Q1 and Q2 are both positive real numbers.

[0618] As an example, when there is no other time window between the first time window and the second time window, the first reported load size is no greater than the first reported load size when there is an other time window between the first time window and the second time window.

[0619] As an example, when there is no other time window between the first time window and the second time window, the first reported load size is smaller than the first reported load size when there is an other time window between the first time window and the second time window.

[0620] As an example, when there are no other time windows between the first time window and the second time window, the first reported load size is no greater than the first reported load size when there are at least one other time window between the first time window and the second time window.

[0621] As an example, when there are no other time windows between the first time window and the second time window, the first reported load size is smaller than the first reported load size when there are at least one other time window between the first time window and the second time window.

[0622] As an example, when there are no other time windows between the first time window and the second time window, the compression ratio of the first report is not less than the compression ratio of the first report when there is one other time window between the first time window and the second time window.

[0623] As an example, when there are no other time windows between the first time window and the second time window, the compression ratio of the first report is greater than the compression ratio of the first report when there is one other time window between the first time window and the second time window.

[0624] As an example, when there are no other time windows between the first time window and the second time window, the compression ratio of the first report is not less than the compression ratio of the first report when there are at least one other time window between the first time window and the second time window.

[0625] As an example, when there are no other time windows between the first time window and the second time window, the compression ratio of the first report is greater than the compression ratio of the first report when there are at least one other time window between the first time window and the second time window.

[0626] Example 9

[0627] Example 9 illustrates a schematic diagram of a first report, a first symbol group, and at least a first measurement result according to an embodiment of this application; as shown in FIG9.

[0628] In Embodiment 9, the first report is sent in the first symbol group, and whether the at least first measurement result includes the second measurement result depends on the first symbol group.

[0629] As one embodiment, the first symbol group includes time-domain resources for sending the first report.

[0630] As one embodiment, the first symbol group is used to send the first reported time-domain resource.

[0631] As one embodiment, the first symbol group includes one or more symbols.

[0632] As one embodiment, the first symbol group includes a plurality of consecutive symbols.

[0633] As one embodiment, the first symbol group includes a plurality of discontinuous symbols.

[0634] As an example, the first symbol group is discontinuous in the time domain.

[0635] As an example, the first symbol group is distributed at equal intervals in the time domain.

[0636] As an example, the first symbol group is periodic in the time domain.

[0637] As a sub-implementation of the above embodiments, the first symbol group includes one or more symbols in each cycle.

[0638] As a sub-implementation of the above embodiments, the first symbol group includes multiple consecutive or discontinuous symbols in each cycle.

[0639] As an example, the first symbol group is periodic in the time domain, and the first report is periodic or quasi-static.

[0640] As an example, the first symbol group is configurable.

[0641] As one embodiment, the first symbol group is configured by higher-level signaling.

[0642] As an example, the first symbol group is configured by RRC signaling.

[0643] As an example, the first symbol group is configured by the first reported configuration information.

[0644] As an example, the first reported configuration information is the first configuration information block.

[0645] As an example, the symbol is a single-carrier symbol.

[0646] As an example, the symbol is a multi-carrier symbol.

[0647] As an example, the multicarrier symbol is an OFDM (Orthogonal Frequency Division Multiplexing) symbol.

[0648] As an example, the multicarrier symbol is obtained by passing the output of the transform precoding through OFDM symbol generation.

[0649] As an example, the multi-carrier symbol is an SC-FDMA (Single Carrier-Frequency Division Multiple Access) symbol.

[0650] As an example, the multicarrier symbol is a DFT-S-OFDM (Discrete Fourier Transform Spread OFDM) symbol.

[0651] As an example, the multi-carrier symbol is an FBMC (Filter Bank Multi Carrier) symbol.

[0652] As one embodiment, the multicarrier symbol includes CP (Cyclic Prefix).

[0653] As an example, when the first symbol group belongs to the first time pool, the at least first measurement result does not include the second measurement result.

[0654] As an example, the first time pool is configurable.

[0655] As an example, the first time pool depends on the configuration of higher-layer signaling.

[0656] As an example, the first time pool depends on the configuration of RRC signaling.

[0657] As an example, the first time pool is configured for the first node.

[0658] As an example, the first time pool depends on the capabilities of the first node.

[0659] As an example, the first time pool is reported by the first node.

[0660] As an example, the first time pool is discontinuous in the time domain.

[0661] As an example, the first time pool is distributed at equal intervals in the time domain.

[0662] As an example, the first report is periodic or quasi-static, the first time pool includes multiple time sub-pools, the multiple time sub-pools are mutually orthogonal, and the interval between any two adjacent time sub-pools is a positive integer multiple of the period of the first report.

[0663] As an example, any one of the at least first RS resources is periodic or quasi-static, all RS resources in the at least first RS resources have the same period, the first time pool includes multiple time sub-pools, the multiple time sub-pools are orthogonal to each other in pairs, and the interval between any two adjacent time sub-pools in the multiple time sub-pools is a positive integer multiple of the period of any one of the at least first RS resources.

[0664] As an example, any one of the at least first RS resources is periodic or quasi-static, the first time pool includes a plurality of time sub-pools, the plurality of time sub-pools are mutually orthogonal, and the interval between any two adjacent time sub-pools is a positive integer multiple of the maximum or minimum period of the RS resources in the at least first RS resources.

[0665] As an example, when the first symbol group does not belong to the first time pool, the at least first measurement result includes the second measurement result.

[0666] As an example, when the first symbol group does not belong to the first time pool, the at least first measurement result includes the second measurement result, and the interval between the first time window and the second time window is default.

[0667] As a sub-implementation of the above embodiments, the second time window includes the latest transmission opportunity of the at least first RS resource earlier than the first time window.

[0668] As a sub-implementation of the above embodiments, the second time window includes the latest transmission opportunity of each of the at least first RS resources that is earlier than the first time window.

[0669] As a sub-implementation of the above embodiments, the second time window includes the latest K transmission opportunities of each of the at least first RS resources that are earlier than the first time window, where K is a positive integer greater than 1.

[0670] As a reference embodiment of the above sub-examples, K is configurable.

[0671] As a reference embodiment of the above sub-example, the K depends on the configuration of RRC signaling.

[0672] As a reference embodiment of the above sub-example, K is predefined.

[0673] As a reference embodiment of the above sub-example, K depends on the capabilities of the first node.

[0674] As a reference embodiment of the above sub-example, K is reported by the first node.

[0675] As an example, the first symbol group is located in time slot i, and when i is modulo 0 with respect to a second integer, the at least first measurement result does not include the second measurement result.

[0676] As an example, the second integer is configurable.

[0677] As one example, the second integer depends on the configuration of higher-layer signaling.

[0678] As one example, the second integer depends on the configuration of the RRC signaling.

[0679] As one example, the second integer is configured for the first node.

[0680] As one example, the second integer depends on the capabilities of the first node.

[0681] As an example, the second integer is reported by the first node.

[0682] As an example, the first report is periodic or quasi-static, and the second integer is a positive integer multiple of the period of the first report.

[0683] As an example, any one of the at least first RS resources is periodic or quasi-static, all RS resources in the at least first RS resources have the same period, and the second integer is a positive integer multiple of the period of any one of the at least first RS resources.

[0684] As an example, any one of the at least first RS resources is periodic or quasi-static, and the second integer is a positive integer multiple of the maximum or minimum period of the RS resources in the at least first RS resources.

[0685] As an example, the first symbol group is located in time slot i, and when i modulo a second integer is not equal to 0, the at least first measurement result includes the second measurement result.

[0686] As an example, the first symbol group is located in time slot i, and when i modulo a second integer is not equal to 0, the at least first measurement result includes the second measurement result, and the interval between the first time window and the second time window is default.

[0687] Example 10

[0688] Example 10 illustrates a schematic diagram of a first symbol group according to an embodiment of this application; as shown in FIG10. In FIG10, unfilled boxes represent one or more symbols included in the first symbol group within a period.

[0689] In Example 10, the first symbol group is periodic in the time domain.

[0690] As an example, the first symbol group includes one or more symbols in each cycle.

[0691] As one embodiment, the first symbol group includes multiple consecutive or discontinuous symbols in each cycle.

[0692] As an example, the first report is periodic or quasi-static, and the period of the first symbol group is equal to the period of the first report.

[0693] Example 11

[0694] Example 11 illustrates a schematic diagram of a first time pool according to an embodiment of this application; as shown in FIG11.

[0695] In Example 11, the first time pool includes multiple time sub-pools.

[0696] As an example, the first time pool is discontinuous in the time domain.

[0697] As an example, the first time pool is distributed at equal intervals in the time domain.

[0698] As an example, the time sub-pools in the first time pool are distributed at equal intervals in the time domain.

[0699] As an example, the interval between any two adjacent time sub-pools in the first time pool is equal.

[0700] As an example, any two time sub-pools in the first time pool are orthogonal to each other.

[0701] Example 12

[0702] Example 12 illustrates a schematic diagram of the interval between adjacent time sub-pools according to an embodiment of the present application; as shown in FIG12. In FIG12(a) and FIG12(b), adjacent time sub-pools are represented as time sub-pool #(j-1), time sub-pool #j, and time sub-pool #(j+1).

[0703] In Embodiment 12, in Figure 12(a), the interval between any two adjacent time sub-pools in the first time pool is a positive integer multiple of the first reporting period; in Figure 12(b), the interval between any two adjacent time sub-pools in the first time pool is a positive integer multiple of the period of one RS resource.

[0704] As an example, in Figure 12(a), the first report is periodic or quasi-static, the first time pool includes multiple time sub-pools, the multiple time sub-pools are orthogonal to each other in pairs, and the interval between any two adjacent time sub-pools is a positive integer multiple of the period of the first report.

[0705] As an example, in Figure 12(b), all RS resources in the at least first RS resource have the same period, and the period of an RS resource is the period of any RS resource in the at least first RS resource.

[0706] As an example, in Figure 12(b), the period of one RS resource is the maximum or minimum period of the RS resource in the at least first RS resource.

[0707] As an example, in Figure 12(b), the period of one RS resource is the maximum period of the RS resources in the at least first RS resource.

[0708] As an example, in Figure 12(b), the period of one RS resource is the minimum period of the RS resource in the at least first RS resource.

[0709] As an example, in Figure 12(b), any one of the at least first RS resources is periodic or quasi-static, all RS resources in the at least first RS resources have the same period, the first time pool includes a plurality of time sub-pools, the plurality of time sub-pools are mutually orthogonal, and the interval between any two adjacent time sub-pools in the plurality of time sub-pools is a positive integer multiple of the period of any one of the at least first RS resources.

[0710] As an example, in Figure 12(b), any one of the at least first RS resources is periodic or quasi-static, the first time pool includes a plurality of time sub-pools, the plurality of time sub-pools are orthogonal to each other in pairs, and the interval between any two adjacent time sub-pools is a positive integer multiple of the maximum period or minimum period of the RS resources in the at least first RS resources.

[0711] Example 13

[0712] Example 13 illustrates a schematic diagram of a first signaling according to an embodiment of this application; as shown in FIG13.

[0713] In Example 13, whether the at least first measurement result includes the second measurement result depends on the first signaling.

[0714] As one embodiment, the first node receives the first signaling, and whether the at least first measurement result includes the second measurement result depends on the first signaling.

[0715] In a preferred embodiment, the first signaling includes DCI (Downlink Control Information).

[0716] As an example, the first signaling includes MAC CE.

[0717] As an example, the first signaling indicates whether the at least first measurement result includes the second measurement result.

[0718] As an example, the first signaling is DCI, and a DCI field in the first signaling indicates whether the at least first measurement result includes the second measurement result.

[0719] As an example, the first signaling explicitly indicates whether the at least first measurement result includes the second measurement result.

[0720] As an example, the first signaling implicitly indicates whether the at least first measurement result includes the second measurement result.

[0721] As an example, the first signaling indicates whether the at least first measurement result includes the second measurement result by indicating other information.

[0722] As an example, the first report is sent later than the first signaling is received.

[0723] As one embodiment, the first signaling instructs the second report, the first node sends the second report, the sending of the second report is earlier than the first report, and the second time window depends on the second report.

[0724] As one example, the second report includes a CSI report.

[0725] As an example, the second report is a CSI report.

[0726] As an example, the second report and the first report are identified by the same CSI-ReportConfigId.

[0727] As one example, the second report and the first report are two different reports for the same CSI reporting configuration.

[0728] As one embodiment, the second report includes channel information.

[0729] As an example, the second reporting relies on measurements of the at least first RS resource.

[0730] As an example, the first node calculates or generates the second report based on the second measurement result.

[0731] As an example, at least one channel information depends on other measurement results besides the second measurement result, and the first node calculates or generates the first report based on the second measurement result and the at least one channel information.

[0732] As an example, the second measurement result is obtained from the most recent measurement used to calculate or generate the second report.

[0733] As an example, the second measurement result is obtained in the most recent channel measurement used to calculate or generate the second report.

[0734] As one embodiment, the second time window includes the most recent transmission opportunity of the at least first RS resource no later than the second report.

[0735] As one embodiment, the second time window includes the most recent transmission opportunity of the at least first RS resource no later than the second reported CSI reference resource.

[0736] As an example, the second measurement result depends on the measurement of the at least one RS resource within the second time window, which includes the most recent transmission opportunity of the at least one RS resource no later than the second report.

[0737] As an example, the second measurement result depends on the measurement of the at least one RS resource within the second time window, the second time window including the most recent transmission opportunity of each of the at least first RS resources no later than the second report.

[0738] As an example, the second measurement result depends on the measurement of the at least one RS resource within the second time window, the second time window including the most recent transmission opportunity of at least one of the at least first RS resources no later than the second report.

[0739] As an example, the second measurement result depends on the measurement of the at least one RS resource within the second time window, which includes the most recent transmission opportunity of the at least one RS resource no later than the second reported CSI reference resource.

[0740] As an example, the second measurement result depends on the measurement of the at least one RS resource within the second time window, which includes the most recent transmission opportunity of each of the at least first RS resources no later than the second reported CSI reference resource.

[0741] As an example, the second measurement result depends on the measurement of the at least one RS resource within the second time window, which includes the most recent transmission opportunity of at least one of the at least first RS resources no later than the second reported CSI reference resource.

[0742] As an example, the first signaling indicates that the at least first measurement result includes the second measurement result, and indicates the second time window.

[0743] As one embodiment, the first signaling indicates the interval between the second time window and the first time window.

[0744] As one embodiment, the first signaling indicates the second time window by indicating the interval between the second time window and the first time window.

[0745] As an example, the first time window does not depend on the indication of the first signaling.

[0746] Example 14

[0747] Example 14 illustrates a schematic diagram of a first reporting relying on first reasoning according to an embodiment of this application; as shown in FIG14.

[0748] In Example 14, the first report depends on the output of the first inference.

[0749] As an example, the first reasoning is AI reasoning.

[0750] As an example, the first inference is ML inference.

[0751] As an example, the first inference is AI inference or ML inference.

[0752] As an example, the first inference is based on an AI model or an ML model.

[0753] As an example, the first inference is the inference of an AI model or an ML model.

[0754] As an example, the first inference is used for one or more of CSI compression, CSI prediction, and beam management.

[0755] As an example, the first inference is used for data reception.

[0756] As an example, the first inference is used for downlink data reception.

[0757] As an example, the first inference is used for PDSCH (Physical Downlink Shared Channel) reception.

[0758] As an example, the first inference is used for one or more of the following: channel estimation, MIMO (Multiple Input Multiple Output) reception, demodulation, channel decoding, and CRC (Cyclic Redundancy Check).

[0759] As an example, the first reasoning was used for localization.

[0760] As an example, the first inference is used for scheduling.

[0761] As an example, the first reasoning is used for semantic-based error correction.

[0762] As an example, the output of the first inference includes the channel information.

[0763] As an example, the output of the first inference is used to generate the first report.

[0764] As an example, all or part of the output of the first inference is used to generate the first report.

[0765] As an example, the output of the first inference is post-processed and used to generate the first report.

[0766] As an example, some or all of the output of the first inference is post-processed and used to generate the first report.

[0767] As an example, the first report includes the output of the first inference.

[0768] As an example, the first report includes the post-processed output of the first inference.

[0769] As one embodiment, the first report includes all or part of the output of the first inference.

[0770] As an example, the first report includes all or part of the post-processed output of the first inference.

[0771] As one example, the post-processing includes quantization.

[0772] As one example, the post-processing includes truncation.

[0773] As an example, the post-processing includes DFT (Discrete Fourier Transform).

[0774] As an example, the post-processing includes one or more of quantization, shortening, puncture, matrix factorization, domain transformation, and DFT.

[0775] As an example, the domain transformation includes one or more of the following: angular domain to spatial domain transformation, spatial domain to angular domain transformation, time domain to frequency domain transformation, frequency domain to time domain transformation, delay domain to frequency domain transformation, frequency domain to delay domain transformation, Doppler domain to time domain transformation, and time domain to Doppler domain transformation.

[0776] The first inference or the AI ​​model upon which the first inference is based is determined by the hardware vendor; however, the first node and the first reporting target recipient may still need to reach some consensus on the first inference or the AI ​​model upon which the first inference is based to facilitate the deployment of the AI ​​model. Below are some non-limiting implementation methods.

[0777] As an example, the first inference or the AI ​​model on which the first inference is based is associated with a dataset; the dataset is either a training dataset for training the AI ​​model on which the first inference is based, or a dataset for monitoring the performance of the inference output of the AI ​​model on which the first inference is based.

[0778] As an example, the dataset is stored on a server, and both the first node and the first reporting target recipient can access the server to obtain the dataset.

[0779] As one example, part or all of the dataset is stored locally on the first node.

[0780] As an example, the first inference or the AI ​​model on which the first inference is based is associated with a set of configuration parameters; the set of configuration parameters includes, for example, measurement configuration and the configuration information of the first report; the measurement configuration is used to configure parameters such as the at least first RS resource and interference measurement resources; the configuration information of the first report indicates one or more of the following parameters: the time or frequency domain resources occupied by the first report, the type of input to the first inference, the type of output of the first inference, and the first reference resource.

[0781] As an example, the first inference or the AI ​​model on which the first inference is based is associated with the first identifier.

[0782] As a sub-implementation of the above embodiments, the first identifier is used to identify at least one of the dataset or the configuration parameter set.

[0783] As an example, the first node and the first reporting target recipient have a consensus on the first identifier.

[0784] As an example, a reasoning associated with the first identifier includes: the reasoning being identified by the first identifier.

[0785] As an example, a reasoning associated with the first identifier includes: the model of the reasoning is identified by the first identifier.

[0786] As an example, a reasoning associated with the first identifier includes: the AI ​​entity or AI function to which the reasoning belongs is identified by the first identifier.

[0787] As an example, a reasoning associated with the first identifier includes: the AI ​​entity or AI function performing the reasoning being identified by the first identifier.

[0788] As an example, an inference associated with the first identifier includes: the training of the inference is identified by the first identifier.

[0789] As an example, an inference associated with the first identifier includes: the training dataset of the inference being identified by the first identifier.

[0790] As an example, an inference associated with the first identifier includes: the inference dataset of the inference being identified by the first identifier.

[0791] As an example, an inference associated with the first identifier includes: the output of the inference includes identifiers of one or more RS resources, each of the one or more RS resources being identified by or configured with the first identifier.

[0792] As an example, an inference associated with the first identifier includes: the first identifier being used to identify at least one of the dataset or the set of configuration parameters to which the inference is associated.

[0793] As an example, an inference associated with the first identifier includes: the first identifier being used to identify at least one of the dataset or the set of configuration parameters associated with the AI ​​model on which the inference is based.

[0794] Based on the above non-limiting implementation, the AI ​​model used in the first inference may be unknown to the first reporting target receiver, or the channel parameters recovered by the first reporting target receiver based on the output of the first inference may be unknown to the first node.

[0795] As one embodiment, the specific form of the channel information included in the first report may depend on the input format of the first inference, the output format of the first inference, or the function of the first inference. Some non-limiting implementations are given below.

[0796] As an example, the output of the first inference includes compressed CSI; the at least first measurement result includes the raw channel matrix obtained by channel measurement of RS, the eigenvector of the channel matrix, the eigenvalue of the channel matrix, the type I codebook index, the type II codebook index, or the enhanced type II codebook, etc.

[0797] As an example, the output of the first inference includes CRI or SSBRI; the at least first measurement result includes RSRP (Reference Signal Received Power), RSRQ (Reference Signal Received Quality), or SINR (Signal Interference Noise Ratio) obtained by channel measurement of RS.

[0798] As an example, the output of the first inference includes compressed CSI based on the predicted beam; the at least first measurement result includes the original channel matrix obtained by channel measurement of RS, the eigenvector of the channel matrix, the eigenvalue of the channel matrix, the type I codebook index, the type II codebook index, or the enhanced type II codebook, etc., and also includes RSRP, RSRQ or SINR, etc., obtained by channel measurement of RS.

[0799] As an example, the input to the first inference depends on the at least first measurement result.

[0800] As an example, the input to the first inference includes the at least the first measurement result.

[0801] As an example, the first report depends on the output obtained by the first inference with the at least first measurement result as input.

[0802] As an example, the first report includes the output obtained by the first inference with the at least first measurement result as input.

[0803] As one embodiment, the first report includes part or all of the output obtained by the first inference with the at least first measurement result as input.

[0804] As an example, the first report includes the post-processed output obtained by the first inference with the at least first measurement result as input.

[0805] As one embodiment, the first report includes part or all of the post-processed output obtained by the first inference with the at least first measurement result as input.

[0806] As an example, the output obtained by the first inference with the at least first measurement result as input is used to generate the first report.

[0807] As an example, some or all of the output obtained by the first inference with the at least first measurement result as input is used to generate the first report.

[0808] As an example, the output obtained by the first inference with the at least first measurement result as input is post-processed and used to generate the first report.

[0809] As an example, some or all of the output obtained by the first inference with the at least first measurement result as input is post-processed and used to generate the first report.

[0810] As an example, the at least first measurement result includes a second measurement result, a channel information depends on the second measurement result, and the input to the first inference includes the first measurement result and the channel information.

[0811] As a sub-example of the above embodiment, the output obtained by the first inference with the second measurement result as input includes the channel information.

[0812] As an example, the input to the first inference depends on the at least first measurement result, and the size of the output of the first inference depends on whether the at least first measurement result includes the second measurement result.

[0813] As an example, when the at least first measurement result includes the second measurement result, the size of the output of the first inference is smaller than the size of the output of the first inference when the at least first measurement result does not include the second measurement result.

[0814] As an example, the size of the output of the first inference refers to the number of bits included in the output of the first inference.

[0815] Example 15

[0816] Example 15 illustrates a schematic diagram of a first reporting method according to an embodiment of the present application that relies on at least a first measurement result; as shown in FIG15.

[0817] In Example 15, the first report depends on the output obtained by the first inference with the at least first measurement result as input.

[0818] As an example, the input to the first inference includes the at least the first measurement result.

[0819] As an example, the input to the first inference is the at least first measurement result.

[0820] As an example, the first report includes the output obtained by the first inference with the at least first measurement result as input.

[0821] As one embodiment, the first report includes part or all of the output obtained by the first inference with the at least first measurement result as input.

[0822] As an example, the first report includes the post-processed output obtained by the first inference with the at least first measurement result as input.

[0823] As one embodiment, the first report includes part or all of the post-processed output obtained by the first inference with the at least first measurement result as input.

[0824] As an example, the output obtained by the first inference with the at least first measurement result as input is used to generate the first report.

[0825] As an example, some or all of the output obtained by the first inference with the at least first measurement result as input is used to generate the first report.

[0826] As an example, the post-processed output obtained by the first inference with the at least first measurement result as input is used to generate the first report.

[0827] As an example, some or all of the post-processed output obtained by the first inference with the at least first measurement result as input is used to generate the first report.

[0828] Example 16

[0829] Example 16 illustrates a schematic diagram of a first reporting method according to an embodiment of the present application that relies on at least a first measurement result; as shown in FIG16.

[0830] In embodiment 16, the at least first measurement result includes N measurement results, where N is a positive integer greater than 1. The N measurement results are represented sequentially in the time domain from earliest to latest as measurement result #0, ..., measurement result #(N-1). The first measurement result is measurement result #(N-1). The first inference generates channel information #0 with the measurement result #0 as input. The first inference generates channel information #t with the measurement result #t (t = 1, ..., N-1) and channel information #(t-1) as input. The first reporting depends on channel information #(N-1).

[0831] As an example, the second measurement result is measurement result #(N-2).

[0832] As an example, the second measurement result is any one of measurement result #0, ..., measurement result #(N-2).

[0833] As an example, the second measurement result is a measurement result earlier than the measurement result #(N-2), and the first report does not depend on the measurement results #0, ..., measurement results #(N-2) that are after the second measurement result.

[0834] As an example, the first inference generates the channel information #(N-1) using the first measurement result and channel information #(N-2) as input.

[0835] As one embodiment, the first report includes the channel information #(N-1).

[0836] As an example, the first report includes post-processed information of the channel information #(N-1).

[0837] As one embodiment, the first report includes all or part of the information in the channel information #(N-1).

[0838] As one embodiment, the first report includes all or part of the post-processed information in the channel information #(N-1).

[0839] As an example, the channel information #(N-1) is used to generate the first report.

[0840] As an example, the post-processed information of the channel information #(N-1) is used to generate the first report.

[0841] As an example, all or part of the information in the channel information #(N-1) is used to generate the first report.

[0842] As an example, all or part of the post-processed information in the channel information #(N-1) is used to generate the first report.

[0843] As an example, the at least first measurement result includes a second measurement result, the output obtained by the first inference with the second measurement result as input includes channel information, and the first reporting depends on the output obtained by the first inference with the first measurement result and the channel information as input.

[0844] As an example, the at least first measurement result includes a second measurement result, the output obtained by the first inference with the second measurement result as input includes channel information, and the first report includes the output obtained by the first inference with the first measurement result and the channel information as input.

[0845] As an example, the at least first measurement result includes a second measurement result, the output obtained by the first inference with the second measurement result as input includes channel information, and the first report includes part or all of the output obtained by the first inference with the first measurement result and the channel information as input.

[0846] As an example, the at least first measurement result includes a second measurement result, the output obtained by the first inference with the second measurement result as input includes channel information, and the first report includes the post-processed output obtained by the first inference with the first measurement result and the channel information as input.

[0847] As an example, the at least first measurement result includes a second measurement result, the output obtained by the first inference with the second measurement result as input includes a channel information, and the first report includes part or all of the post-processed output obtained by the first inference with the first measurement result and the channel information as input.

[0848] Example 17

[0849] Example 17 illustrates a schematic diagram of a model on which the first inference is based according to an embodiment of this application; as shown in FIG17.

[0850] In Example 17, the first node requests the first producer to load the model on which the first inference is based, and obtains the model on which the first inference is based from the first producer.

[0851] As an example, the model on which the first inference is based needs to be deployed.

[0852] As an example, the deployment includes obtaining the model on which the first inference is based.

[0853] As one example, the deployment includes obtaining an AI entity.

[0854] As one example, the deployment includes obtaining an AI entity that performs the first inference.

[0855] As one example, the deployment includes obtaining an AI entity that includes AI functions that perform the first inference.

[0856] As one example, the deployment includes acquiring an AI function.

[0857] As one example, the deployment includes acquiring AI capabilities to perform the first inference.

[0858] As an example, the deployment includes loading the model on which the first inference is based.

[0859] As one example, the deployment includes making a request to load the model on which the first inference is based.

[0860] As an example, the request in Figure 17 is a request from the first node to load the model on which the first inference is based.

[0861] As an example, the response in Figure 17 is a response to the request made by the first node to load the model on which the first inference is based.

[0862] As an example, the first node obtains the first inference through the response shown in FIG17.

[0863] As an example, the first node obtains the model on which the first inference is based through the response shown in Figure 17.

[0864] As an example, the first node obtains an AI entity that includes the AI ​​function of performing the first inference through the response shown in FIG17.

[0865] As an example, the first node obtains the AI ​​function to perform the first inference through the response shown in FIG17.

[0866] As an example, the first producer provides the first inference to the first node via the response shown in Figure 17.

[0867] As an example, the first producer provides the model on which the first inference is based to the first node through the response shown in Figure 17.

[0868] As an example, the first producer provides the first node with an AI entity that includes the AI ​​function of performing the first inference through the response shown in FIG17.

[0869] As an example, the first producer provides the first node with the AI ​​function to perform the first inference through the response shown in Figure 17.

[0870] As an example, the deployment is accomplished by an AI function.

[0871] As an example, the deployment is accomplished by AI functionality deployed on the first node.

[0872] As an example, the deployment is accomplished by an AI deployment function.

[0873] As an example, the deployment is accomplished by the AI ​​deployment function deployed on the first node.

[0874] As an example, the deployment is accomplished by AI inference functionality.

[0875] As an example, the deployment is accomplished by an AI inference function deployed on the first node.

[0876] As an example, the deployment is performed by an AI entity.

[0877] As an example, the deployment is performed by an AI entity deployed on the first node.

[0878] As an example, the deployment is performed by an AI entity with a deployment function.

[0879] As an example, the deployment is performed by an AI entity with deployment capabilities deployed on the first node.

[0880] As an example, the deployment is performed by an AI entity with an inference function.

[0881] As an example, the deployment is performed by an AI entity with reasoning capabilities deployed on the first node.

[0882] As one embodiment, the deployment includes obtaining the model on which the first inference is based from a first producer.

[0883] As one embodiment, the deployment includes requesting a first producer to load the model on which the first inference is based.

[0884] As one embodiment, the deployment includes loading the model on which the first inference is based from the first producer.

[0885] As an example, the first producer generates and provides an AI model.

[0886] As an example, the first producer generates and provides AI entities.

[0887] As an example, the first producer generates and provides AI functionality.

[0888] As an example, the first producer is the producer of the model on which the first inference is based.

[0889] As an example, the first producer is the producer of the training of the model on which the first inference is based.

[0890] As one example, the first producer includes an AI entity producer.

[0891] As one example, the first producer includes an AI function producer.

[0892] As one example, the first producer includes an AI deployment producer.

[0893] As one example, the first producer includes an AI loading producer.

[0894] As one example, the first producer includes an AI training producer.

[0895] As one example, the first producer includes an AI inference producer.

[0896] As an example, the first producer includes the producer of the AI ​​model training.

[0897] As an example, the first producer includes an MnS (Management Service) producer.

[0898] As an example, the first producer is the serving cell of the first node.

[0899] As an example, the first producer is the maintenance base station of the serving cell of the first node.

[0900] As an example, the first producer is the core network.

[0901] As an example, the training of the model on which the first inference is based is performed by the first producer.

[0902] Example 18

[0903] Example 18 illustrates a schematic diagram of a first model and M candidate models according to an embodiment of this application; as shown in Figure 18.

[0904] In Example 18, the first reasoning is the reasoning of a first model, which is one of M candidate models, where M is a positive integer greater than 1; which of the M candidate models the first model is depends on whether the at least first measurement result includes the second measurement result.

[0905] As an example, the first reasoning is the reasoning of the first model.

[0906] As an example, the model on which the first inference is based is the first model.

[0907] As an example, any one of the M candidate models is an AI model or an ML model.

[0908] As an example, the first report depends on the inference of one of the M candidate models.

[0909] As an example, the first report depends on the reasoning result of one of the M candidate models.

[0910] As an example, the first report depends on the output of the inference of one of the M candidate models.

[0911] As an example, the first report includes the inference output of one of the M candidate models.

[0912] As an example, the first report includes all or part of the inference output of one of the M candidate models.

[0913] As an example, the first report includes the post-processed output of the inference of one of the M candidate models.

[0914] As an example, the first report includes all or part of the post-processed output of the inference of one of the M candidate models.

[0915] As an example, the output of the inference of one of the M candidate models is used to generate the first report.

[0916] As an example, some or all of the inference output of one of the M candidate models is used to generate the first report.

[0917] As an example, the inference output of one of the M candidate models is post-processed and used to generate the first report.

[0918] As an example, the inference output of one of the M candidate models, either all or part of it, is post-processed and used to generate the first report.

[0919] As an example, the M candidate models are unknown to the target recipient of the first report.

[0920] As an example, the advantages of the above method include: more flexible support for different terminals.

[0921] As an example, the advantages of the above method include saving air interface overhead.

[0922] As an example, any one of the M candidate models can be used for the first inference.

[0923] As an example, any one of the M candidate models is used in the first inference.

[0924] As an example, any one of the M candidate models can be used to perform the first inference.

[0925] As an example, any one of the M candidate models is used to perform the first inference.

[0926] As an example, the first node may use one of the M candidate models to perform the first inference.

[0927] As an example, the first node performs the first inference using one of the M candidate models.

[0928] As an example, the first model is the candidate model among the M candidate models used to perform the first inference.

[0929] As an example, the first model is the candidate model currently used to perform the first inference among the M candidate models.

[0930] As an example, the first model is the model on which the first inference is based.

[0931] As an example, the first model is the model on which the current first inference is based.

[0932] As an example, any one of the M candidate models is based on training.

[0933] As an example, any one of the M candidate models is obtained through training.

[0934] As an example, the training of at least one of the M candidate models is performed by the first node.

[0935] As an example, the training of at least one of the M candidate models is performed by the first reporting target receiver.

[0936] As an example, the training of at least one of the M candidate models is performed by the core network.

[0937] As an example, the training of at least one of the M candidate models is performed by the MDA (Management Data Analytics Function).

[0938] As an example, the training of at least one of the M candidate models is performed by NWDAF (Network Data Analytics Function).

[0939] As an example, the training of at least one of the M candidate models is performed by the MDAS (Management Data Analytics Service) producer.

[0940] As an example, the training of at least one of the M candidate models is performed by the MnS producer.

[0941] As an example, any one of the M candidate models includes inference.

[0942] As an example, any one of the M candidate models is inference.

[0943] As an example, any one of the M candidate models includes an AI entity.

[0944] As an example, any one of the M candidate models includes the part of an AI entity used for inference.

[0945] As an example, the inference of any of the M candidate models is performed by an AI entity or AI function.

[0946] As an example, the inference of any of the M candidate models is performed by an AI entity or AI function deployed on the first node.

[0947] As one example, the AI ​​function includes AI inference functionality.

[0948] As one example, the AI ​​functionality includes AI training functionality.

[0949] As one example, the AI ​​functionality includes AI management functionality.

[0950] As one example, the AI ​​includes ML.

[0951] As an example, the AI ​​includes AI and ML.

[0952] As one example, the AI ​​includes AI or ML.

[0953] As an example, any one of the M candidate models is based on artificial intelligence or machine learning.

[0954] As an example, any one of the M candidate models is based on a neural network.

[0955] As an example, any one of the M candidate models includes inference for CSI.

[0956] As an example, any one of the M candidate models includes inference for data reception.

[0957] As an example, any one of the M candidate models includes inference for localization.

[0958] As an example, any one of the M candidate models includes inference for scheduling.

[0959] As an example, any one of the M candidate models includes reasoning for semantic-based error correction.

[0960] As an example, the output of the inference of any of the M candidate models includes channel information.

[0961] As an example, the output of the inference of any of the M candidate models includes location information.

[0962] As an example, the output of the inference of any of the M candidate models includes the recovered TB (Transport Block) or CB (Code Block).

[0963] As an example, the output of the inference of any of the M candidate models includes the scheduling result.

[0964] As an example, at least one of the M candidate models needs to be deployed.

[0965] As an example, at least one of the M candidate models is obtained by loading.

[0966] As an example, at least one of the M candidate models is obtained from the serving cell of the first node.

[0967] As an example, at least one of the M candidate models is obtained from the core network.

[0968] As an example, at least one of the M candidate models does not require deployment.

[0969] The M candidate models are determined by the hardware vendor; however, the first node and the first reporting target recipient may still need to reach some consensus on the M candidate models. Below are some non-limiting implementation methods.

[0970] As an example, any one of the M candidate models is associated with a dataset; the dataset is either a training dataset for training the candidate model or a dataset for monitoring the inference performance of the candidate model.

[0971] As an example, the dataset is stored on a server, and both the first node and the first reporting target recipient can access the server to obtain the dataset.

[0972] As one example, part or all of the dataset is stored locally on the first node.

[0973] As an example, any one of the M candidate models is associated with a configuration parameter set; the configuration parameter set includes, for example, the configuration of the RS resources on which the input depends and the configuration of the type or size of the output.

[0974] As an example, the M candidate models are associated with M identifiers respectively, and the first node and the first reporting target recipient have a consensus on the M identifiers.

[0975] As an example, any one of the M identifiers is a non-negative integer.

[0976] As an example, any one of the M identifiers is a string.

[0977] As an example, associating a model with an identifier includes: the model being identified by the identifier.

[0978] As an example, associating a model with an identifier includes: the reasoning of the model being identified by the identifier.

[0979] As an example, a model associated with an identifier includes: an AI function or AI entity that performs inference for the model being identified by the identifier.

[0980] As an example, associating a model with an identifier includes: the training of the model is identified by the identifier.

[0981] As an example, associating a model with an identifier includes: the training dataset of the model being identified by the identifier.

[0982] As an example, associating a model with an identifier includes: the inference dataset of the model being identified by the identifier.

[0983] As an example, associating a model with an identifier includes: the output of the inference of the model includes identifiers of one or more RS resources, each of the one or more RS resources being identified by or configured with the identifier.

[0984] As an example, associating a model with an identifier includes: the identifier being used to identify the dataset or set of configuration parameters to which the corresponding candidate model is associated.

[0985] Based on the above non-limiting implementation, some or all of the M candidate models are unknown to the first reporting target recipient.

[0986] Based on the above non-limiting implementation, the channel parameters recovered by the first reporting target receiver based on the output of any of the M candidate models are unknown to the first node.

[0987] As an example, the input of any of the M candidate models depends on the measurement for the at least first RS resource.

[0988] As an example, the input of at least one of the M candidate models does not depend on past measurement results.

[0989] As an example, the input of at least one of the M candidate models depends only on the current measurement results.

[0990] As an example, the input of at least one of the M candidate models depends solely on the first measurement result.

[0991] As an example, the input of at least one of the M candidate models depends on past measurement results.

[0992] As an example, the input of at least one of the M candidate models depends on past measurement results and current measurement results.

[0993] As an example, the input of at least one of the M candidate models depends on the first measurement result and the second measurement result.

[0994] As an example, the input of at least one of the M candidate models depends on the first measurement result, the second measurement result, and at least one measurement result other than the first measurement result and the second measurement result in the at least first measurement.

[0995] As an example, the input of at least one of the M candidate models does not depend on past measurement results, while the input of at least one of the M candidate models depends on past measurement results.

[0996] As an example, at least two of the M candidate models have outputs of different sizes.

[0997] As an example, the size of the output of a model refers to the number of bits included in the output of the model.

[0998] As an example, the first node determines the first model from the M models based on whether the at least first measurement result includes the second measurement result.

[0999] As an example, when the at least first measurement result includes the second measurement result, the size of the output of the first model determined by the first node is smaller than the size of the output of the first model determined by the first node when the at least first measurement result does not include the second measurement result.

[1000] As an example, when the at least first measurement result includes the second measurement result, the compression ratio of the first model determined by the first node is greater than the compression ratio of the first model determined by the first node when the at least first measurement result does not include the second measurement result.

[1001] As an example, when the at least first measurement result includes the second measurement result, the first node determines the first model from the candidate models whose input depends on past measurement results among the M candidate models; when the at least first measurement result does not include the second measurement result, the first node determines the first model from the candidate models whose input does not depend on past measurement results among the M candidate models.

[1002] Generally, how the first node determines the first model from the M candidate models is determined by the hardware equipment vendor. Below are some non-limiting implementation methods:

[1003] As an example, when the at least first measurement result includes the second measurement result, the first node randomly determines the first model from among the M candidate models whose input depends on past measurement results.

[1004] As an example, when the at least first measurement result does not include the second measurement result, the first node randomly determines the first model from among the M candidate models whose input does not depend on past measurement results.

[1005] As an example, when the at least first measurement result includes the second measurement result, the first node takes turns determining the first model from the candidate models whose input depends on past measurement results among the M candidate models.

[1006] As an example, when the at least first measurement result does not include the second measurement result, the first node takes turns determining the first model from the M candidate models whose input does not depend on past measurement results.

[1007] As an example, when the at least first measurement result includes the second measurement result, the first node determines the first model from the candidate models whose input depends on past measurement results among the M candidate models according to performance requirements.

[1008] As an example, when the at least first measurement result does not include the second measurement result, the first node determines the first model from the M candidate models whose input does not depend on past measurement results, based on performance requirements.

[1009] Example 19

[1010] Example 19 illustrates a schematic diagram of a first report according to an embodiment of this application, including codebook-based CSI or compressed CSI; as shown in FIG19.

[1011] In Example 19, the first report includes codebook-based CSI or compressed CSI; whether the first report includes codebook-based CSI or compressed CSI depends on whether the at least first measurement result includes the second measurement result.

[1012] As an example, the compressed CSI is based on neural networks or CNN (Conventional Neural Networks) CSI.

[1013] As an example, the compressed CSI is based on artificial intelligence or machine learning.

[1014] As an example, the compressed CSI is not based on a codebook.

[1015] As an example, the compressed CSI is not a CSI defined by 3GPP Rel-18, nor is it a CSI defined by versions prior to 3GPP Rel-18.

[1016] As an example, the channel parameters recovered by the target receiver of the compressed CSI based on the compressed CSI are unknown to the first node.

[1017] As an example, the channel parameters recovered by the target receiver of the compressed CSI based on the compressed CSI are unknown to the sender of the compressed CSI.

[1018] As an example, the compressed CSI includes pre-coded information.

[1019] As an example, the target receiver of the compressed CSI recovers at least one precoded matrix based on the compressed CSI.

[1020] As an example, the precoding matrix recovered by the target receiver of the compressed CSI based on the compressed CSI is unknown to the first node.

[1021] As an example, the precoding matrix recovered by the target receiver of the compressed CSI based on the compressed CSI is unknown to the sender of the compressed CSI.

[1022] As an example, the target receiver of the compressed CSI recovers at least one channel matrix or at least one feature vector based on the compressed CSI.

[1023] As an example, the target receiver of the compressed CSI recovers the channel matrix or feature vector based on the compressed CSI, which is unknown to the sender of the compressed CSI.

[1024] As an example, the codebook-based CSI refers to the codebook-based PMI.

[1025] As an example, the codebook-based CSI refers to the PMI generated based on the codebook.

[1026] As an example, the codebook refers to the PMI codebook defined in 3GPP R18 or earlier.

[1027] As an example, the codebook refers to the Type II codebook.

[1028] As an example, the definition of the Type II codebook can be found in section 5.2.2 of 3GPP TS38.214.

[1029] As an example, the Type II codebook includes an enhanced Type II codebook.

[1030] As one example, the Type II codebook includes a further enhanced Type II codebook.

[1031] As an example, the Type II codebook includes at least one of the Type II port selection codebook, the enhanced Type II port selection codebook, and the further enhanced Type II port selection codebook.

[1032] As an example, the codebook includes some or all of the following as defined in 3GPP TS38.214: Type I Single-Panel Codebook, Type I Multi-Panel Codebook, Type II Codebook, Type II Port Selection Codebook, Enhanced Type II Codebook, Enhanced Type II Port Selection Codebook, Further enhanced Type II port selection codebook, Enhanced Type II codebook for CJT, Further enhanced Type II port selection codebook for CJT, Enhanced Type II codebook for predicted PMI, and Further enhanced Type II port selection codebook for predicted PMI.

[1033] As an example, the codebook-based CSI includes pre-encoded information.

[1034] As an example, the codebook-based CSI is used to recover at least one precoding matrix.

[1035] As an example, the precoding matrix recovered by the target receiver of the codebook-based CSI based on the codebook-based CSI is known to the sender of the codebook-based CSI.

[1036] As an example, when the at least first measurement result includes the second measurement result, the first report includes compressed CSI; when the at least first measurement result does not include the second measurement result, the first report includes codebook-based CSI.

[1037] As an example, when the at least first measurement result includes past measurement results, the first report includes compressed CSI; when the at least first measurement result does not include past measurement results, the first report includes codebook-based CSI.

[1038] As an example, the past measurement results refer to measurement results obtained based on time-domain resources earlier than the first time window.

[1039] As an example, the past measurement results refer to measurement results obtained based on the at least first RS resource earlier than the first time window.

[1040] As an example, the past measurement results refer to measurement results obtained based on transmission opportunities of the at least first RS resource earlier than the first time window.

[1041] As an example, the prior measurement results include the second measurement results.

[1042] As an example, the prior measurement results include measurement results other than the second measurement result among the at least first measurement results.

[1043] Example 20

[1044] Example 20 illustrates a schematic diagram of a first information block according to an embodiment of this application; as shown in FIG20.

[1045] In embodiment 20, the first information block indicates a first upper limit and a first lower limit, which are the maximum and minimum values ​​of the first reported load size, respectively.

[1046] As an example, the first node receives the first information block, which indicates the first upper limit and the first lower limit.

[1047] As one embodiment, the first information block is carried by higher layer signaling.

[1048] As an example, the first information block is carried by RRC (Radio Resource Control) signaling.

[1049] As an example, the first information block is carried by an RRC IE (Information Element).

[1050] As an example, the first information block is carried by at least one RRC IE.

[1051] As an example, the first information block includes information from one or more fields in at least one RRC IE.

[1052] As one embodiment, the first information block includes information from one or more fields of each of the plurality of RRC IEs.

[1053] As an example, the first information block is carried by an RRC IE whose name includes CSI-ReportConfig.

[1054] As an example, the first information block is carried by the CSI-ReportConfig IE.

[1055] As an example, the first information block is carried by an RRC IE that is different from the CSI-ReportConfig IE.

[1056] As an example, the first information block is carried by an RRC IE whose name includes CSI-MeasConfig.

[1057] As an example, the first information block is carried by the CSI-MeasConfig IE.

[1058] As an example, the first information block is carried by an RRC IE that is different from the CSI-MeasConfig IE.

[1059] As an example, the first information block is an RRC IE.

[1060] As an example, the first information block is an RRC IE with the name including CSI-ReportConfig.

[1061] As an example, the first information block is a CSI-ReportConfig IE.

[1062] As an example, the first information block is an RRC IE that is different from the CSI-ReportConfig IE.

[1063] As an example, the first information block is an RRC IE with the name including CSI-MeasConfig.

[1064] As an example, the first information block is a CSI-MeasConfig IE.

[1065] As an example, the first information block is an RRC IE that is different from the CSI-MeasConfig IE.

[1066] As one embodiment, the first information block includes a CSI reporting configuration.

[1067] As one embodiment, the first information block includes a CSI Reporting setting.

[1068] As an example, the first information block is a CSI reporting configuration.

[1069] As an example, the first information block is a CSI Reporting setting.

[1070] As an example, a field in the first information block indicates the first upper limit and the first lower limit.

[1071] As an example, the first node sends the first information block, which indicates the first upper limit and the first lower limit.

[1072] As an example, the first information block includes UCI (Uplink Control Information).

[1073] As one embodiment, the first information block includes CSI.

[1074] As one embodiment, the first information block includes HARQ-ACK (Hybrid Automatic Repeat request-Acknowledgement) information.

[1075] As one example, the first information block includes an SR (Scheduling Request).

[1076] As one embodiment, the first information block includes the first report.

[1077] As an example, the first information block does not include the first report.

[1078] As an example, the advantages of the above method include reduced overhead.

[1079] As one embodiment, the first information block is carried by a higher-layer message.

[1080] As an example, the first information block is carried by an RRC (Radio Resource Control) message.

[1081] As an example, the first information block is carried by RRC signaling.

[1082] As an example, the first information block is carried by the MAC CE.

[1083] As one embodiment, the first information block includes UE capability information.

[1084] As an example, the first information block is carried by the UE capability IE.

[1085] As one embodiment, the first information block includes information from all or part of the domains in a UE capability IE.

[1086] As one example, the first information block includes information from one or more UE capability IEs.

[1087] As one embodiment, the first information block includes the capability report of the first node.

[1088] As one embodiment, the first information block includes the UE processing capability of the first node.

[1089] As one embodiment, the first information block includes the UE capability indication of the first node.

[1090] As one embodiment, the first information block is applicable only to one carrier or one serving cell of the first node.

[1091] As one embodiment, the first information block applies to all component carriers of the first node.

[1092] As one embodiment, the first information block applies to all component carriers of the first node belonging to the same cell group.

[1093] As one embodiment, the first information block applies to all component carriers of the first node that belong to the same band or band combination.

[1094] As one embodiment, the first information block applies to all serving cells of the first node.

[1095] As one embodiment, the first information block applies to all serving cells belonging to the same cell group of the first node.

[1096] As one embodiment, the first information block applies to all serving cells of the first node that belong to the same frequency band or frequency band combination.

[1097] Typically, the same cell group is either an MCG (Master Cell Group) or an SCG (Secondary Cell Group).

[1098] As an example, both the first upper limit and the first lower limit are associated with the first identifier.

[1099] As one embodiment, the first information block indicates the first identifier.

[1100] As an example, the first identifier is a non-negative integer.

[1101] As an example, the first identifier is a string.

[1102] As an example, the first identifier is used to identify a CSI report.

[1103] As an example, the first identifier is used to identify an AI model.

[1104] As one embodiment, the first upper limit and the first lower limit are both associated with a first identifier, including: the first upper limit and the first lower limit are applicable to CSI reports identified by the first identifier.

[1105] As one embodiment, the first upper limit and the first lower limit are both associated with the first identifier, including: the first upper limit and the first lower limit are applicable to the model identified by the first identifier.

[1106] As one embodiment, the first upper limit and the first lower limit are both associated with the first identifier, including: the first report is identified by the first identifier, and the first upper limit and the first lower limit are the maximum and minimum values ​​of the load size of the first report, respectively.

[1107] As one embodiment, the first upper limit and the first lower limit are both associated with the first identifier, including: the first inference is associated with the first identifier, the first report depends on the output of the first inference, and the first upper limit and the first lower limit are the maximum and minimum values ​​of the load size of the first report, respectively.

[1108] As one embodiment, the first upper limit and the first lower limit are both associated with the first identifier, including: the first inference is associated with the first identifier, the first report depends on the output of the first inference, and the first upper limit and the first lower limit are the maximum and minimum values ​​of the size of the output of the first inference, respectively.

[1109] As one embodiment, the first upper limit and the first lower limit are both associated with the first identifier, including: the first model is associated with the first identifier, the first report depends on the output of the first model, and the first upper limit and the first lower limit are the maximum and minimum values ​​of the load size of the first report, respectively.

[1110] As an example, the first upper limit and the first lower limit are both associated with the first identifier, including: the first model is associated with the first identifier, the first report depends on the output of the first model, and the first upper limit and the first lower limit are the maximum and minimum values ​​of the size of the output of the first model, respectively.

[1111] As an example, the first upper limit and the first lower limit being associated with the first identifier include: all M candidate models are associated with the first identifier, the first report depends on the output of one of the M candidate models, and the first upper limit and the first lower limit are the maximum and minimum values ​​of the load size of the first report, respectively.

[1112] As an example, the first upper limit and the first lower limit being associated with the first identifier includes: all M candidate models are associated with the first identifier, and the first upper limit and the first lower limit are the maximum and minimum values ​​of the output size of any of the M models, respectively.

[1113] As one embodiment, the first upper limit and the first lower limit are both associated with the first identifier, including: each of the at least first RS resources is identified by the first identifier or configured with the first identifier, the first report depends on the measurement on the at least first RS resources, and the first upper limit and the first lower limit are the maximum and minimum values ​​of the load size of the first report, respectively.

[1114] As one embodiment, the first upper limit and the first lower limit are both associated with the first identifier, including: the first reported configuration information indicates the first identifier, and the first upper limit and the first lower limit are the maximum and minimum values ​​of the first reported load size, respectively.

[1115] Example 21

[1116] Example 21 illustrates a schematic diagram of a first configuration information block according to an embodiment of this application; as shown in FIG21.

[1117] In embodiment 21, the first configuration information block indicates at least one of the at least first RS resource or the first reported configuration information.

[1118] As an example, the first configuration information block is carried by higher-level signaling.

[1119] As an example, the first configuration information block is carried by RRC signaling.

[1120] As an example, the first configuration information block is carried by one or more RRC IEs.

[1121] As one embodiment, the first configuration information block includes some or all of the information in one or more RRC IEs.

[1122] As one embodiment, the first configuration information block includes some or all of the information in the CSI-ReportConfig IE.

[1123] As one embodiment, the first configuration information block includes some or all of the information in the CSI-MeasConfig IE.

[1124] As one embodiment, the first configuration information block includes some or all of the information in the ServingCellConfig IE.

[1125] As one example, the first configuration information block includes some or all of the information in CellGroupConfig IE.

[1126] As one embodiment, the first configuration information block includes the first information block.

[1127] As an example, the first configuration information block does not include the first information block.

[1128] As one embodiment, the first information block includes the first configuration information block.

[1129] As an example, the first configuration information block indicates at least one of the first RS resource and the first reported configuration information.

[1130] As an example, the first configuration information block indicates at least the first RS resource and the first reported configuration information.

[1131] As an example, the first configuration information block indicates the at least first RS resource.

[1132] As an example, the first configuration information block indicates that at least the first RS resource is used for channel measurement.

[1133] As an example, the first configuration information block indicates that the RS resources used for the first reported channel measurement include the at least the first RS resource.

[1134] As an example, the first configuration information block indicates each of the at least first RS resources.

[1135] As an example, the first configuration information block indicates the identifier of each RS resource in the at least first RS resource.

[1136] As a sub-implementation of the above embodiments, the identifier of any RS resource in the at least first RS resource is NZP-CSI-RS-ResourceId or SSB-Index.

[1137] As an example, the at least first RS resource belongs to an RS resource set, and the first configuration information block indicates the RS resource set.

[1138] As a sub-implementation of the above embodiments, the first configuration information block indicates the at least first RS resource by indicating the RS resource set.

[1139] As a sub-implementation of the above embodiments, the first configuration information block indicates the identifier of the RS resource set.

[1140] As a reference embodiment of the above sub-example, the identifier of the RS resource set is NZP-CSI-RS-ResourceSetId, CSI-SSB-ResourceSetId, or CSI-ResourceConfigId.

[1141] As one embodiment, the first configuration information block indicates the first reported configuration information.

[1142] As an example, the configuration information reported first includes the reported quantity.

[1143] As an example, the candidates for the first reported amount include one or more of CQI, PMI, CRI, LI, RI, SSBRI, RSRP, SINR, RSRQ, RSSI, capability index, and TDCP.

[1144] As one embodiment, the configuration information first reported includes the physical layer channel carrying the first report.

[1145] As a sub-implementation of the above embodiments, the physical layer channel carrying the first report is PUSCH or PUCCH.

[1146] As an example, the configuration information first reported includes time-domain behavior, which includes periodic, semi-persistent, and aperiodic behavior.

[1147] As an example, the configuration information first reported includes at least one of period and time slot offset.

[1148] As an example, the configuration information first reported includes frequency domain resources.

[1149] As an example, the configuration information first reported includes RS resources for channel measurement.

[1150] As an example, the configuration information first reported includes RS resources for interference measurement.

[1151] As an example, the first report is a report for the first configuration information block.

[1152] As an example, the first report is a reporting instance of the first configuration information block.

[1153] As an example, the first report is the first report for the first configuration information block after the first signaling.

[1154] As an example, the first report is the first report for the first configuration information block after a first interval following the last symbol of the first signaling.

[1155] As one embodiment, the first interval includes one or more symbols.

[1156] As one embodiment, the first interval includes a plurality of consecutive symbols.

[1157] As one embodiment, the first interval includes one or more time slots.

[1158] As one embodiment, the first interval includes a plurality of consecutive time slots.

[1159] As one embodiment, the first interval includes one or more subframes.

[1160] As one embodiment, the first interval includes a plurality of consecutive subframes.

[1161] As an example, the unit of the first interval is s, ms, or μs.

[1162] As an example, the first interval is predefined.

[1163] As one embodiment, the first interval is fixed.

[1164] As an example, the first interval is configurable.

[1165] As one example, the first interval is configured by higher-layer signaling.

[1166] As an example, the first interval is configured by RRC signaling.

[1167] As one example, the first interval depends on the capabilities of the first node.

[1168] As an example, the first interval is reported by the first node.

[1169] As one embodiment, the first configuration information block indicates the first identifier.

[1170] As an example, the first configuration information block is identified by a first identifier.

[1171] Example 22

[1172] Example 22 illustrates a schematic diagram of an artificial intelligence or machine learning-based processing system according to an embodiment of this application; as shown in Figure 22. In Example 22, the third processor sends a first dataset to the fourth processor and a second dataset to the fifth processor; the fourth processor generates a target first-class parameter set based on the first dataset, and sends the generated target first-class parameter set to the fifth processor; the fifth processor processes the second dataset using the target first-class parameter set to obtain a first-class output, and sends the first-class output to the sixth processor. In Figure 22, the first-class feedback and the second-class feedback are optional; the fourth processor includes ML training functionality; the fifth processor includes inference functionality.

[1173] As one embodiment, the sixth processor includes ML testing functionality.

[1174] As an example, the sixth processor includes performance monitoring / evaluation of the ML model.

[1175] As an example, the fifth processor sends a first type of feedback to the fourth processor. The first type of feedback is used to trigger the recalculation or update of the target first type of parameter set, that is, to trigger ML initial training or ML retraining.

[1176] As one embodiment, the sixth processor sends a second type of feedback to the third processor, the second type of feedback being used to generate the first dataset or the second dataset, or the second type of feedback being used to trigger the sending of the first dataset or the second dataset.

[1177] As one embodiment, the third processor generates the first dataset and the second dataset based on the measurement of the reference signal.

[1178] As an example, the fifth processor belongs to the first node.

[1179] As one embodiment, the sixth processor belongs to either the first node or the second node.

[1180] As one embodiment, the fifth processor performs a first operation, the first operation including the first inference.

[1181] As an example, the second dataset includes measurements of a reference signal.

[1182] As an example, the first dataset includes training data.

[1183] As an example, the fourth processor is used to train an ML model, and the trained model is described by the target first class of parameter sets.

[1184] As one embodiment, the fourth processor is located at the first node.

[1185] The above embodiments avoid passing the first dataset to the second node.

[1186] As one embodiment, the fourth processor is located at the second node.

[1187] The above embodiments support joint training and optimize system performance.

[1188] As one embodiment, the fourth processor is located in the core network.

[1189] The above embodiments support network-wide joint training, further optimizing system performance.

[1190] As an example, the second dataset includes inference data.

[1191] As one embodiment, the fifth processor is located at the first node.

[1192] As an example, the fifth processor constructs a model based on the target first type of parameter group, and then inputs the second dataset into the constructed model to obtain the first type of output.

[1193] As an example, the fifth processor compares the actual measurement results with the first type of output, and the resulting error is used to generate the first type of feedback.

[1194] As an example, the fifth processor generates the first type of feedback through performance monitoring.

[1195] As an example, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model fails to meet the requirements, the fourth processing opportunity recalculates the target first type of parameter set.

[1196] As an example, the sixth processor compares the actual measurement results with the first type of output, and the resulting error is used to generate the second type of feedback.

[1197] As an example, the sixth processor generates the second type of feedback through performance monitoring.

[1198] 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 fails to meet the requirements, the third processor sends the first dataset to trigger or assist the fourth processor in recalculating the target first type of parameter set.

[1199] As an example, when the error is too large or the update has not been performed for too long, the performance of the trained model is considered to be unsatisfactory.

[1200] As an example, the target first type of parameter group includes one or more of the following: convolution kernel size, number of convolution layers, convolution stride, pooling kernel size, pooling kernel stride, pooling function, activation function, or number of feature maps.

[1201] As an example, the target first type of parameter group includes one or more of the following: convolution kernel, pooling kernel, pooling function, activation function, parameters of pooling function, or parameters of activation function.

[1202] As one example, the ML includes AI.

[1203] As an example, the ML includes ML and AI.

[1204] Example 23

[1205] Example 23 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of this application; as shown in FIG23. FIG23 includes a second operation, a third operation, a fourth operation, a fifth operation, and a sixth operation. In Example 23, the second and third operations belong to a first stage, the fourth operation belongs to a second stage, the fifth operation belongs to a third stage, and the sixth operation belongs to a fourth stage. In FIG23, the lines with arrows indicate the sequence of processes.

[1206] As one embodiment, the second operation includes ML training, the third operation includes ML testing, the fourth operation includes ML emulation, the fifth operation includes ML entity loading, and the sixth operation includes inference.

[1207] As one embodiment, the first stage includes a training phase, the second stage includes an emulation phase, the third stage includes a deployment phase, and the fourth stage includes an emulation phase.

[1208] As an example, the first stage includes ML model training.

[1209] As an example, the first stage includes ML model training and ML testing.

[1210] As an example, the ML model training includes initial training and re-training of one or a group of ML models.

[1211] As an example, the training of the ML model depends on training data.

[1212] As an example, the ML model training includes ML entity validation.

[1213] As an example, the ML entity verification is used to evaluate the performance of the ML entity.

[1214] As an example, the ML entity verification depends on verification data.

[1215] As an example, if the results of ML entity verification do not meet expectations, the ML model will be retrained.

[1216] As an example, the ML testing includes testing the validated ML entities to estimate the performance of the trained ML model.

[1217] As an example, if the ML test results meet expectations, the ML entity proceeds to the next stage; otherwise, the ML model will be retrained.

[1218] As an example, the ML test relies on test data.

[1219] As one embodiment, the second stage includes ML simulation, which performs inference of ML entities in a simulation environment.

[1220] As an example, the ML simulation estimates the performance of ML entity reasoning in a simulation environment before using ML entities.

[1221] As one embodiment, the second stage is optional.

[1222] As an example, the third stage includes ML entity loading, which is to obtain trained ML entities to obtain the desired AI inference capabilities.

[1223] As an example, the third stage is optional.

[1224] As an example, the third stage is no longer needed when the training and inference functions are co-located.

[1225] As an example, the fourth stage includes AI inference or ML inference.

[1226] As one example, the ML includes AI.

[1227] As one example, the AI ​​includes ML.

[1228] Example 24

[1229] Example 24 illustrates a schematic diagram of AI function deployment according to an embodiment of this application; as shown in Figure 24.

[1230] In Example 24, the AI ​​training function of 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.

[1231] In Example 24, RAN domain-specific management functions provide AI training function management capabilities and AI inference function management capabilities.

[1232] Example 25

[1233] Example 25 illustrates a schematic diagram of AI function deployment according to one embodiment of this application; as shown in Figure 25.

[1234] In Example 25, the AI ​​training function is located in the RAN domain-specific management function, while the AI ​​inference function is located locally in the UE.

[1235] In Example 25, the management capability of the AI ​​training function is provided by the RAN domain-specific management function, while the management capability of the AI ​​inference function is provided locally by the UE.

[1236] In Figure 25, MnF refers to Management Function.

[1237] Example 26

[1238] Example 26 illustrates a schematic diagram of AI function deployment according to one embodiment of this application; as shown in Figure 26.

[1239] In Example 26, both the AI ​​training function and the AI ​​inference function are located in the UE, wherein the UE provides the ability to train and infer.

[1240] In Example 26, RAN domain-specific management functions provide management capabilities for both AI training and AI inference functions.

[1241] Example 27

[1242] Example 27 illustrates a schematic diagram of AI function deployment according to one embodiment of this application; as shown in Figure 27.

[1243] In Example 27, both the AI ​​training function and the AI ​​inference function are located in the UE.

[1244] In Example 27, the management capabilities of both the AI ​​training function and the AI ​​inference function are provided locally by the UE.

[1245] In Figure 27, MnF refers to Management Function.

[1246] Example 28

[1247] Example 28 illustrates a schematic diagram of a first encoder and a first decoder according to an embodiment of this application; as shown in FIG28. The first encoder and the first decoder in FIG28 are deployed on the first node and the second node, respectively.

[1248] In Example 28, at time i, the first encoder performs a first inference, the input of which includes at least one measurement result and Q channel information, namely Vi-Q, ..., Vi-2, Vi-1; the output of the first encoder includes Vi, and the Q channel information is obtained by delaying Vi.

[1249] The first node sends a first report to the second node to instruct Vi. The second node performs a second inference at time i (ignoring the transmission and processing delay of the first information). The input of the second inference includes Vi and Q recovered channel information, i.e., Wi-Q, ..., Wi-2, Wi-1. The output of the second inference includes the recovered channel information Wi. The Q recovered channel information Wi-Q, ..., Wi-2, Wi-1 correspond one-to-one with the Q channel information. However, since the first encoder and the second encoder may be independently trained, they do not need to be completely inverse operations, as long as the error between the channel recovery information and the corresponding channel information is within an acceptable range. The Q recovered channel information is obtained by delaying the output of the first decoder.

[1250] The delay shown in Figure 28 is merely an exemplary implementation and can be replaced by other operations, such as an RNN (Recurrent Neural Network) model, or a linear algorithm such as a sliding filter.

[1251] The first encoder and the first decoder can adopt various AI models such as transformer and CNN, which are determined by the hardware vendor.

[1252] Example 29

[1253] Example 29 illustrates a structural block diagram of a processing apparatus for a first node according to an embodiment of this application; as shown in FIG29. In FIG29, the processing apparatus 2900 in the first node includes a first processor 2901.

[1254] As one example, the first node is a user equipment.

[1255] As one example, the user equipment is a terminal.

[1256] As one example, the first node is a terminal.

[1257] As an example, the first node is a relay node device.

[1258] As one embodiment, the first processor 2901 includes at least one of the following in embodiment 4: {antenna 452, receiver 454, receiver processor 456, multi-antenna receiver processor 458, controller / processor 459, memory 460, data source 467}.

[1259] As one embodiment, the first processor 2901 includes at least one of the following in embodiment 4: {antenna 452, transmitter 454, transmitter processor 468, multi-antenna transmitter processor 457, controller / processor 459, memory 460, data source 467}.

[1260] The first processor 2901 sends a first report, which includes channel information.

[1261] In embodiment 29, the first report depends on at least a first measurement result, and the load size reported by the first report depends on whether the at least first measurement result includes a second measurement result; the first measurement result depends on a measurement in a first time window, and the second measurement result depends on a measurement in a second time window, wherein the first time window is later than the second time window.

[1262] As one embodiment, it includes:

[1263] The first processor 2901 measures on at least the first RS resource;

[1264] The at least first measurement result depends on the measurement on the at least first RS resource.

[1265] As one example, the load size reported first depends on the interval between the first time window and the second time window.

[1266] As one embodiment, the first report is sent in a first symbol group, and whether the at least first measurement result includes the second measurement result depends on the first symbol group.

[1267] As one embodiment, it includes:

[1268] The first processor 2901 receives the first signaling;

[1269] Whether the at least first measurement result includes the second measurement result depends on the first signaling.

[1270] As an example, the first report depends on the output of the first inference.

[1271] As an example, the first inference is the inference of a first model, which is one of M candidate models, where M is a positive integer greater than 1; which of the M candidate models the first model is depends on whether the at least first measurement result includes the second measurement result.

[1272] As one embodiment, the first report includes codebook-based CSI or compressed CSI; whether the first report includes codebook-based CSI or compressed CSI depends on whether the at least first measurement result includes the second measurement result.

[1273] As one embodiment, it includes:

[1274] The first processor 2901 receives the first information block;

[1275] The first information block indicates a first upper limit and a first lower limit, which are the maximum and minimum values ​​of the first reported load size, respectively.

[1276] As one embodiment, it includes:

[1277] The first processor 2901 sends the first information block;

[1278] The first information block indicates a first upper limit and a first lower limit, which are the maximum and minimum values ​​of the first reported load size, respectively.

[1279] As one embodiment, it includes:

[1280] The first processor 2901 receives the first configuration information block;

[1281] The first configuration information block indicates at least one of the at least first RS resource or the first reported configuration information.

[1282] Example 30

[1283] Example 30 illustrates a structural block diagram of a processing apparatus for a second node according to an embodiment of the present application; as shown in FIG30. In FIG30, the processing apparatus 3000 in the second node includes a second processor 3001.

[1284] In one embodiment, the second node is a base station.

[1285] In one embodiment, the second node is a base station device.

[1286] In one embodiment, the second node is a user equipment.

[1287] As one embodiment, the second node is a relay node device.

[1288] As one embodiment, the second node includes an OTT (Over-The-Top) server.

[1289] As one example, the second node includes OAM (Operation Administration and Maintenance).

[1290] As one embodiment, the second node includes a NAS device.

[1291] As one embodiment, the second node includes core network equipment.

[1292] As one embodiment, the second processor 3001 includes at least one of the following in embodiment 4: {antenna 420, transmitter 418, transmitter processor 416, multi-antenna transmitter processor 471, controller / processor 475, memory 476}.

[1293] As one embodiment, the second processor 3001 includes at least one of the following in embodiment 4: {antenna 420, receiver 418, receiver processor 470, multi-antenna receiver processor 472, controller / processor 475, memory 476}.

[1294] The second processor 3001 receives the first report, which includes channel information.

[1295] In embodiment 30, the first report depends on at least a first measurement result, and the load size reported by the first report depends on whether the at least first measurement result includes a second measurement result; the first measurement result depends on a measurement in a first time window, and the second measurement result depends on a measurement in a second time window, wherein the first time window is later than the second time window.

[1296] As one embodiment, it includes:

[1297] The second processor 3001 transmits RS on at least the first RS resource;

[1298] The at least first measurement result depends on the measurement on the at least first RS resource.

[1299] As one example, the load size reported first depends on the interval between the first time window and the second time window.

[1300] As one embodiment, the first report is received in a first symbol group, and whether the at least first measurement result includes the second measurement result depends on the first symbol group.

[1301] As one embodiment, it includes:

[1302] The second processor 3001 sends the first signaling;

[1303] Whether the at least first measurement result includes the second measurement result depends on the first signaling.

[1304] As an example, the first report depends on the output of the first inference.

[1305] As an example, the first inference is the inference of a first model, which is one of M candidate models, where M is a positive integer greater than 1; which of the M candidate models the first model is depends on whether the at least first measurement result includes the second measurement result.

[1306] As one embodiment, the first report includes codebook-based CSI or compressed CSI; whether the first report includes codebook-based CSI or compressed CSI depends on whether the at least first measurement result includes the second measurement result.

[1307] As one embodiment, it includes:

[1308] The second processor 3001 sends the first information block;

[1309] The first information block indicates a first upper limit and a first lower limit, which are the maximum and minimum values ​​of the first reported load size, respectively.

[1310] As one embodiment, it includes:

[1311] The second processor 3001 receives the first information block;

[1312] The first information block indicates a first upper limit and a first lower limit, which are the maximum and minimum values ​​of the first reported load size, respectively.

[1313] As one embodiment, it includes:

[1314] The second processor 3001 sends the first configuration information block;

[1315] The first configuration information block indicates at least one of the at least first RS resource or the first reported configuration information.

[1316] Those skilled in the art will understand that all or part of the steps in the above methods can be implemented by a program instructing related hardware, and the program can be stored in a computer-readable storage medium, such as a read-only memory, hard disk, or optical disk. Optionally, all or part of the steps in the above embodiments can also be implemented using one or more integrated circuits. Accordingly, each module unit in the above embodiments can be implemented in hardware or in the form of software functional modules. This application is not limited to any specific combination of software and hardware. The user equipment, terminal, and UE in this application include, but are not limited to, drones, communication modules on drones, remote-controlled aircraft, aircraft, small aircraft, mobile phones, tablets, laptops, vehicle-mounted communication devices, wireless sensors, internet cards, IoT terminals, RFID terminals, NB-IoT terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, internet cards, vehicle-mounted communication devices, low-cost mobile phones, low-cost tablets, and other wireless communication devices. The base stations or system equipment in this application include, but are not limited to, macrocell base stations, microcell base stations, home base stations, relay base stations, gNB (NR Node B), TRP (Transmitter Receiver Point), GNSS, relay satellites, satellite base stations, airborne base stations, RSU (Road Side Unit), drones, and test equipment (such as transceivers or signaling testers that simulate some functions of a base station) and other wireless communication equipment.

[1317] The above description is merely a preferred embodiment of this application and is not intended to limit the scope of protection of this application. Any changes and modifications made based on the embodiments described in the specification, if they achieve similar partial or complete technical effects, should be considered obvious and fall within the scope of protection of this invention.

Claims

1. A method in a first node used for wireless communication, characterized by, include: Send a first report, which includes channel information; Wherein, the first report depends on at least a first measurement result, and the first reported load size depends on whether the at least first measurement result includes a second measurement result; the first measurement result depends on the measurement in a first time window, the second measurement result depends on the measurement in a second time window, and the first time window is later than the second time window.

2. The method in the first node according to claim 1, characterized by, include: Measured on at least the first RS resource; The at least first measurement result depends on the measurement on the at least first RS resource.

3. A method in a first node according to claim 1 or 2, characterized by, The first reported load size depends on the interval between the first time window and the second time window.

4. A method in a first node according to any of claims 1 to 3, characterized by, The first report is sent in the first symbol group, and whether the at least first measurement result includes the second measurement result depends on the first symbol group.

5. A method in a first node according to any of claims 1 to 4, characterized by, include: Receive the first signaling; Whether the at least first measurement result includes the second measurement result depends on the first signaling.

6. A method in a first node according to any of claims 1 to 5, characterized by, The first report depends on the output of the first inference.

7. A method in a first node according to claim 6, characterized by, The first inference is the inference of a first model, which is one of M candidate models, where M is a positive integer greater than 1; which of the M candidate models the first model is depends on whether the at least first measurement result includes the second measurement result.

8. A method in a first node according to any of claims 1 to 7, characterized by, The first report includes codebook-based CSI or compressed CSI; whether the first report includes codebook-based CSI or compressed CSI depends on whether the at least first measurement result includes the second measurement result.

9. A method in a first node according to any of claims 1 to 8, characterized by, include: Receive the first information block, or send the first information block; The first information block indicates a first upper limit and a first lower limit, which are the maximum and minimum values ​​of the first reported load size, respectively.

10. A method in a first node according to any of claims 1 to 9, characterized by, include: Receive the first configuration information block; The first configuration information block indicates at least one of the at least first RS resource or the first reported configuration information.

11. A terminal, characterized by comprising: The terminal includes: One or more processors and memory; The memory is coupled to the one or more processors, the memory being used to store computer program code, the computer program code including computer instructions, the one or more processors invoking the computer instructions to cause the terminal to perform the method as described in any one of claims 1-10.

12. A method in a second node used for wireless communication, characterized by, include: Receive the first report, which includes channel information; Wherein, the first report depends on at least a first measurement result, and the first reported load size depends on whether the at least first measurement result includes a second measurement result; the first measurement result depends on the measurement in a first time window, the second measurement result depends on the measurement in a second time window, and the first time window is later than the second time window.

13. A method in a second node according to claim 12, characterised by, include: Send RS on at least the first RS resource; The at least first measurement result depends on the measurement on the at least first RS resource.

14. A method in a second node according to claim 12 or 13, characterized by, The first reported load size depends on the interval between the first time window and the second time window.

15. A method in a second node according to any of claims 12 to 14, characterized by, The first report is received in the first symbol group, and whether the at least first measurement result includes the second measurement result depends on the first symbol group.

16. A method in a second node according to any of claims 12 to 15, characterized by, include: Send the first signaling; Whether the at least first measurement result includes the second measurement result depends on the first signaling.

17. A method in a second node according to any of claims 12 to 16, characterized by, The first report depends on the output of the first inference.

18. A method in a second node according to claim 17, characterised by, The first inference is the inference of a first model, which is one of M candidate models, where M is a positive integer greater than 1; which of the M candidate models the first model is depends on whether the at least first measurement result includes the second measurement result.

19. A method in a second node according to any of claims 12 to 18, characterized by, The first report includes codebook-based CSI or compressed CSI; whether the first report includes codebook-based CSI or compressed CSI depends on whether the at least first measurement result includes the second measurement result.

20. A method in a second node according to any of claims 12-19, characterized by, include: Send the first information block, or receive the first information block; The first information block indicates a first upper limit and a first lower limit, which are the maximum and minimum values ​​of the first reported load size, respectively.

21. A method in a second node according to any of claims 12 to 20, characterized by, include: Send the first configuration information block; The first configuration information block indicates at least one of the at least first RS resource or the first reported configuration information.

22. A base station, comprising: The base station includes: One or more processors and memory; The memory is coupled to the one or more processors, the memory being used to store computer program code, the computer program code including computer instructions, the one or more processors invoking the computer instructions to cause the base station to perform the method as described in any one of claims 12-21.

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