Method and apparatus used for channel information report in node for wireless communication

Abstract

Disclosed in the present application are a method and apparatus used for a channel information report in a node for wireless communication. The method comprises: a first node receiving a first information block, and sending a first channel information report, wherein the first information block is used for configuring the first channel information report; the generation of the first channel information report occupies at least one first-type resource and at least one second-type resource; the first channel information report occupies the at least one first-type resource from a first moment through a third moment, and the first channel information report occupies the at least one second-type resource from a second moment through a fourth moment; the first moment is equal to or later than the second moment, and the third moment is earlier than or equal to the fourth moment; and the first moment is different from the second moment, or the third moment is different from the fourth moment. The advantage of the method includes: better adapting to various processing capabilities and various application scenarios or terminals.

Description

Method and apparatus for channel information reporting in a node for wireless communication TECHNICAL FIELD

[0001] The present application relates to a transmission method and apparatus in a wireless communication system, and in particular to a scheme and apparatus for channel information reporting and resource occupation in a wireless communication system. BACKGROUND

[0002] In a conventional wireless communication, a UE (User Equipment) calculates CSI (Channel State Information) by measuring a downlink reference signal, wherein the CSI includes but is not limited to one or more of CRI (Channel state information-reference signal Resource Indicator), RI (Rank Indicator), PMI (Precoding Matrix Indicator) or CQI (Channel quality indicator).

[0003] With the adoption of new technologies, the increase in the number of antennas, the diversification of application scenarios and the improvement of system performance requirements, the traditional measurement and reporting method will bring a large amount of redundant overhead. Therefore, in NR R(release)18, the research on AI(Artificial Intelligence) / ML(Machine Learning) technology is launched to explore its impact on system performance and system design. Compared with the traditional processing method, AI / ML has the characteristics of being based on training and needing to be deployed. In addition, AI / ML is also a key candidate technology for future 6G communication. When AI / ML functions are introduced, the existing channel information related measurement mechanism, generation and / or reporting mechanism and related configuration signaling may not be able to adapt to the needs of AI / ML. SUMMARY

[0004] The applicant found through research that the generation of a channel information reporting needs to occupy certain resources, and the transceiver needs to have a consistent understanding of the occupation time of the resources. How to determine the occupation time of the resources is a key problem to be solved. In view of the above problem, the present application discloses a solution. It should be noted that although a large number of embodiments of the present application are developed for AI / ML, the present application is also applicable to other solutions, such as traditional channel information reporting solutions. In addition, using a unified solution in different scenarios (including but not limited to AI / ML-based solutions and traditional information reporting solutions) helps to reduce hardware complexity and cost. In the case of no conflict, the embodiments in the first node and the features in the embodiments of the present application can be applied to the second node, and vice versa. In the case of no conflict, the embodiments of the present application and the features in the embodiments can be arbitrarily combined with each other.

[0005] As an embodiment, the explanation of the terms in the present application is based on the definition of the specification agreement TS38 series of 3GPP.

[0006] As an embodiment, the explanation of the terms in the present application is based on the definition of the specification agreement TS28 series of 3GPP.

[0007] The present application discloses a method in a first node used for wireless communication, characterized in that it comprises:

[0008] receiving a first information block; transmitting a first channel information reporting;

[0009] The first information block is used to configure the first channel information reporting. The generation of the first channel information reporting occupies at least one first type of resource and at least one second type of resource. The first channel information reporting occupies the at least one first type of resource from a first time to a third time, and the first channel information reporting occupies the at least one second type of resource from a second time to a fourth time. The first time is equal to or later than the second time, and the third time is earlier than or equal to the fourth time. The first time is different from the second time, or the third time is different from the fourth time.

[0010] As an embodiment, the problem to be solved by the present application includes: from which time does the channel information reporting occupy the resources for the generation of the channel information reporting.

[0011] As an embodiment, the benefits of the above method include: the occupation time of the first type of resource and the second type of resource by the channel information reporting is not completely the same, which ensures the requirement of the occupation time of the first type of resource and the second type of resource by the channel information reporting.

[0012] As an embodiment, the above method has the advantage of ensuring consistency of understanding of occupation of the first type of resource and the second type of resource by the transceiver.

[0013] As an embodiment, the above method has the advantage of better adaptation to various application scenarios or terminals.

[0014] As an embodiment, the above method has the advantage of good flexibility and adaptability.

[0015] As an embodiment, the above method has the advantage of better adaptation to various processing capabilities.

[0016] As an embodiment, the above method has the advantage of better adaptation to various terminal capabilities.

[0017] As an embodiment, the first node is a user equipment.

[0018] As an embodiment, the first node is a relay node.

[0019] According to an aspect of the present application, the first channel information reporting is generated based on inference.

[0020] According to an aspect of the present application, whether the first time is equal to or later than the second time depends on a reporting type of the first channel information reporting, the reporting type of the first channel information reporting being one of periodic reporting, aperiodic reporting, semi-persistent reporting, or event-triggered reporting.

[0021] According to an aspect of the present application, when a first condition is met, the first time is later than the second time; the first condition includes that the first channel information reporting is triggered by physical layer signaling.

[0022] As an embodiment, the above method has the advantage of better adaptation to various channel information reporting, good flexibility and adaptability.

[0023] As an embodiment, the above method has the advantage of better adaptation to various processing capabilities, better adaptation to various application scenarios or terminals, good flexibility and adaptability.

[0024] As an embodiment, the above method has the advantage of better adaptation to various application scenarios or terminals, good flexibility and adaptability.

[0025] According to an aspect of the present application, the first channel information reporting is triggered by physical layer signaling, a first physical layer channel carries the physical layer signaling triggering the first channel information reporting; the first time instant is at least a first time interval after the first physical layer channel; the second time instant is a start time instant of a first symbol after the first physical layer channel, or the second time instant is at least a second time interval after the first physical layer channel.

[0026] According to an aspect of the present application, the first channel information reporting is triggered by physical layer signaling, a first physical layer channel carries the physical layer signaling triggering the first channel information reporting; the first time instant is a start time instant of a first symbol after the first physical layer channel, and the second time instant is at least a first time interval before the first physical layer channel.

[0027] As an embodiment, the above method has the advantages of: for channel information reporting triggered by physical layer signaling, a certain time requirement needs to be met between the time instant when it starts to occupy the first type of resource and the time instant when it starts to occupy the second type of resource and the triggering signaling.

[0028] According to an aspect of the present application, whether the third time instant is earlier than the fourth time instant or equal to the fourth time instant depends on a reporting type of the first channel information reporting, and the reporting type of the first channel information reporting is one of periodic reporting, aperiodic reporting, semi-persistent reporting or event-triggered reporting.

[0029] According to an aspect of the present application, when a second condition is met, the third time instant is earlier than the fourth time instant; the second condition includes at least one of the first channel information reporting being semi-persistent reporting or the first channel information reporting being triggered by physical layer signaling.

[0030] As an embodiment, the above method has the advantages of: better adaptation to various types of channel information reporting, good flexibility and adaptability.

[0031] As an embodiment, the above method has the advantages of: a certain time requirement needs to be met between the time instant when the channel information reporting occupies the first type of resource and the time instant when it occupies the second type of resource.

[0032] As an embodiment, the above method has the advantages of: better adaptation to various processing capabilities, better adaptation to various application scenarios or terminals, good flexibility and adaptability.

[0033] As an embodiment, the method has the advantage of better adaptation to various application scenarios or terminals, and good flexibility and adaptability.

[0034] According to an aspect of the present application, the N time intervals correspond to N identifiers respectively, N being a positive integer greater than 1; the first channel information report is generated corresponding to a first identifier, the first identifier being one of the N identifiers, and the first time interval being a time interval corresponding to the first identifier among the N time intervals.

[0035] As an embodiment, the method has the advantage of better adaptation to various application scenarios or terminals.

[0036] As an embodiment, the method has the advantage of good flexibility and adaptability.

[0037] As an embodiment, the method has the advantage of better adaptation to various processing capabilities.

[0038] As an embodiment, the method has the advantage of better adaptation to various terminal capabilities.

[0039] According to an aspect of the present application, the method comprises:

[0040] The second information block is sent, and the second information block indicates the first time interval.

[0041] As an embodiment, the method is essentially that at least one of a time when the channel information report starts to occupy the first type of resource or a time when the channel information report starts to occupy the second type of resource depends on an indication (i.e. the second information block) of a sender of the channel information report.

[0042] As an embodiment, the method has the advantage of better adaptation to various application scenarios or terminals.

[0043] As an embodiment, the method has the advantage of good flexibility and adaptability.

[0044] As an embodiment, the method has the advantage of better adaptation to various processing capabilities.

[0045] As an embodiment, the method has the advantage of better adaptation to various terminal capabilities.

[0046] According to an aspect of the present application, the method comprises:

[0047] The first operation is performed, and the first channel information report depends on an output of the first operation.

[0048] As an embodiment, the first operation is training-based or AI-based.

[0049] As an embodiment, the first operation includes inference.

[0050] As an embodiment, the inference includes AI inference.

[0051] As an embodiment, the AI includes ML.

[0052] As an embodiment, the AI includes ML.

[0053] As an embodiment, the first operation is deployment-needed.

[0054] As an embodiment, the first operation is obtained by load.

[0055] As an embodiment, the method includes deploying the first operation.

[0056] As an embodiment, the method has the advantage of reserving sufficient freedom for the first node, adapting to various different scenarios and terminals, and having adaptability and flexibility.

[0057] As an embodiment, the method has the advantage that training for the first operation can not be performed at the first node, reducing the demand for processing capability and power consumption of the first node.

[0058] The present application discloses a method in a second node used for wireless communication, characterized in that, comprising:

[0059] sending a first information block; receiving a first channel information report;

[0060] The first information block is used to configure the first channel information report. The generation of the first channel information report occupies at least one first type of resource and at least one second type of resource. The first channel information report occupies the at least one first type of resource from a first time until a third time, and occupies the at least one second type of resource from a second time until a fourth time. The first time is equal to or later than the second time, and the third time is earlier than or equal to the fourth time. The first time is different from the second time, or the third time is different from the fourth time.

[0061] As an embodiment, the second node is a base station.

[0062] As one embodiment, the second node comprises a base station.

[0063] As one embodiment, the second node comprises a core network.

[0064] As one embodiment, the second node comprises a base station and a core network.

[0065] As one embodiment, the second node is a user equipment.

[0066] As one embodiment, the second node is a relay node.

[0067] According to one aspect of the present application, the first channel information reporting is generated based on inference.

[0068] According to one aspect of the present application, whether the first time instant is equal to or later than the second time instant depends on a reporting type of the first channel information reporting, the reporting type of the first channel information reporting being one of periodic reporting, aperiodic reporting, semi-persistent reporting or event triggered reporting.

[0069] According to one aspect of the present application, when a first condition is met, the first time instant is later than the second time instant; the first condition comprises that the first channel information reporting is triggered by physical layer signaling.

[0070] According to one aspect of the present application, the first channel information reporting is triggered by physical layer signaling, a first physical layer channel carrying the physical layer signaling triggering the first channel information reporting; the first time instant is at least a first time interval after the first physical layer channel; the second time instant is a starting time instant of a first symbol after the first physical layer channel, or the second time instant is at least a second time interval after the first physical layer channel.

[0071] According to one aspect of the present application, the first channel information reporting is triggered by physical layer signaling, a first physical layer channel carrying the physical layer signaling triggering the first channel information reporting; the first time instant is a starting time instant of a first symbol after the first physical layer channel, the second time instant is at least a first time interval before the first physical layer channel.

[0072] According to one aspect of the present application, whether the third time instant is earlier than or equal to the fourth time instant depends on a reporting type of the first channel information reporting, the reporting type of the first channel information reporting being one of periodic reporting, aperiodic reporting, semi-persistent reporting or event triggered reporting.

[0073] According to an aspect of the present application, when the second condition is met, the third time point is earlier than the fourth time point; the second condition comprises at least one of that the first channel information reporting is semi-persistent reporting or that the first channel information reporting is triggered by physical layer signaling.

[0074] According to an aspect of the present application, N time intervals correspond to N identifiers respectively, N is a positive integer greater than 1; the generation of the first channel information reporting corresponds to a first identifier, the first identifier is one of the N identifiers, and the first time interval is a time interval corresponding to the first identifier among the N time intervals.

[0075] According to an aspect of the present application, it comprises:

[0076] Receiving a second information block, the second information block indicating the first time interval.

[0077] According to an aspect of the present application, it comprises: performing a second operation; wherein the sender of the first channel information reporting performs a first operation, the output of the first operation comprises first CSI, the first channel information reporting carries the first CSI, and the first CSI is used as the input of the second operation to generate second CSI.

[0078] As an embodiment, the first operation is based on training or AI.

[0079] As an embodiment, the first operation comprises inference.

[0080] As an embodiment, the inference comprises AI inference.

[0081] As an embodiment, the first operation is deployment required.

[0082] As an embodiment, the first operation is obtained by loading.

[0083] According to an aspect of the present application, it comprises: deploying the second operation.

[0084] As an embodiment, the second operation is based on training or AI.

[0085] As an embodiment, the second operation comprises inference.

[0086] As an embodiment, the inference comprises AI inference.

[0087] As an embodiment, the second operation is deployment required.

[0088] As an embodiment, the second operation is obtained by loading.

[0089] As an embodiment, the method has the advantage of reserving sufficient freedom for the second node to adapt to various scenarios and terminals, and has adaptability and flexibility.

[0090] As an embodiment, the method has the advantage of reducing the demand for processing capacity and power consumption of the second node by training the second operation without performing the training at the second node.

[0091] The application discloses a first node for wireless communication, characterized in that comprising:

[0092] The first processor receives a first information block and sends a first channel information report.

[0093] The first information block is used to configure the first channel information report; the generation of the first channel information report occupies at least one first type of resource and at least one second type of resource; the first channel information report occupies the at least one first type of resource from a first time point until a third time point, and occupies the at least one second type of resource from a second time point until a fourth time point; the first time point is equal to or later than the second time point, and the third time point is earlier than or equal to the fourth time point; the first time point is different from the second time point, or the third time point is different from the fourth time point.

[0094] The application discloses a second node for wireless communication, characterized in that comprising:

[0095] The second processor sends a first information block and receives a first channel information report.

[0096] The first information block is used to configure the first channel information report; the generation of the first channel information report occupies at least one first type of resource and at least one second type of resource; the first channel information report occupies the at least one first type of resource from a first time point until a third time point, and occupies the at least one second type of resource from a second time point until a fourth time point; the first time point is equal to or later than the second time point, and the third time point is earlier than or equal to the fourth time point; the first time point is different from the second time point, or the third time point is different from the fourth time point.

[0097] As an embodiment, compared with the traditional scheme, the application has the following advantages:

[0098] The time requirement of the channel information reporting on the occupation of the first type of resource and the second type of resource is guaranteed.

[0099] The consistency of the understanding of the time of the first type of resource and the second type of resource occupied by the channel information reporting of the transceiver is guaranteed.

[0100] The different application scenarios are better adapted to;

[0101] The different processing capabilities are better adapted to;

[0102] The different terminals are better adapted to;

[0103] The different channel information reporting is better adapted to;

[0104] The good flexibility is provided;

[0105] The good adaptability is provided;

[0106] The higher channel information accuracy and real-time performance are provided;

[0107] The enhanced reliability and robustness are provided;

[0108] The enhanced overall system performance is provided. BRIEF DESCRIPTION OF DRAWINGS

[0109] Other characteristics, objects and advantages of the present application will become more apparent from the following detailed description of non-restrictive embodiments with reference to the attached drawings:

[0110] Fig. 1 shows a flow chart of the second information block and the first channel information reporting according to one embodiment of the present application;

[0111] Fig. 2 shows a schematic diagram of a network architecture according to one embodiment of the present application;

[0112] Fig. 3 shows a schematic diagram of an embodiment of a radio protocol architecture for the user plane and control plane according to one embodiment of the present application;

[0113] Fig. 4 shows a schematic diagram of a first communication device and a second communication device according to one embodiment of the present application;

[0114] Fig. 5 shows a transmission between a first node and a second node according to one embodiment of the present application;

[0115] Figs. 6A-6C show schematic diagrams of a first time and a second time, respectively, according to one embodiment of the present application;

[0116] Figs. 7A-7B show schematic diagrams of a first time and a second time, respectively, according to another embodiment of the present application;

[0117] FIGS. 8A-8B respectively illustrate schematic diagrams of a third time instance and a fourth time instance according to an embodiment of the present application;

[0118] FIGS. 9A-9B respectively illustrate schematic diagrams of a third time instance and a fourth time instance according to another embodiment of the present application;

[0119] FIGS. 10A-10C respectively illustrate schematic diagrams of a first time interval according to an embodiment of the present application;

[0120] FIGS. 11A-11C respectively illustrate schematic diagrams of a first channel information report generating a first identity according to an embodiment of the present application;

[0121] FIGS. 12A-12C respectively illustrate schematic diagrams of a first channel information report according to an embodiment of the present application;

[0122] FIGS. 13A-13B respectively illustrate schematic diagrams of the first node deploying a first operation according to an embodiment of the present application;

[0123] FIG. 14 illustrates a schematic diagram of RAN (Radio Access Network) domain AI / ML function deployment according to an embodiment of the present application;

[0124] FIG. 15 illustrates a schematic diagram of UE AI / ML function deployment according to an embodiment of the present application;

[0125] FIG. 16 illustrates a schematic diagram of an artificial intelligence or machine learning based processing system according to an embodiment of the present application;

[0126] FIG. 17 illustrates a structural block diagram of a processing apparatus in a first node according to an embodiment of the present application;

[0127] FIG. 18 illustrates a structural block diagram of a processing apparatus in a second node according to an embodiment of the present application. DETAILED DESCRIPTION

[0128] The technical solutions of the present application will be further described in detail below with reference to the accompanying drawings. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other arbitrarily without conflict. Based on performance, flexibility, complexity, overhead and compatibility, etc., the person skilled in the art has the motivation to flexibly combine the embodiments in different drawings without conflict, for example, but not limited to, the embodiments in FIG. 1 and the embodiments in FIGS. 5-18, the embodiments in FIG. 5 and the embodiments in FIGS. 6A-18, etc.

[0129] Embodiment 1

[0130] Embodiment 1 illustrates a flow chart of a first information block and a first channel information reporting according to an embodiment of the present application, as shown in FIG. 1. In 100 shown in FIG. 1, each block represents a step. In particular, the order of the steps in the blocks does not represent a specific time sequence between the steps.

[0131] In Embodiment 1, the first node receives a first information block in step 101; and sends a first channel information reporting in step 102; wherein the first information block is used to configure the first channel information reporting; the generation of the first channel information reporting occupies at least one first type of resource and at least one second type of resource; the first channel information reporting occupies the at least one first type of resource from a first time point until a third time point, and the first channel information reporting occupies the at least one second type of resource from a second time point until a fourth time point; the first time point is equal to or later than the second time point, and the third time point is earlier than or equal to the fourth time point; the first time point is different from the second time point, or the third time point is different from the fourth time point.

[0132] As an embodiment, the first channel information reporting is generated based on inference.

[0133] As an embodiment, the generation of the first channel information reporting corresponds to a first identifier.

[0134] As an embodiment, the first identifier is a non-negative integer.

[0135] As an embodiment, the first identifier is a string.

[0136] As an embodiment, the first identifier is used to identify one or more first type of resources.

[0137] As an embodiment, the first identifier is used to identify one or more second type of resources.

[0138] As an embodiment, the first identifier is used to identify a resource group, which includes one or more first type of resources and one or more second type of resources.

[0139] As an embodiment, the first identifier is used to identify a reporting amount included in the first channel information reporting.

[0140] As an embodiment, the first identifier is different from a reporting configuration identifier of the first channel information reporting.

[0141] As an embodiment, the first identifier is used to identify an inference.

[0142] As an embodiment, the first identifier is used to identify an AI model.

[0143] As an embodiment, the first identity is used to identify an AI model, and the first channel information reporting is based on inference using the AI model identified by the first identity.

[0144] As an embodiment, the first identity is used by the first node to determine an AI model.

[0145] As an embodiment, the first identity is used by the first node to determine an AI model used by the first operation in the present application.

[0146] As an embodiment, the first identity is used to identify an AI entity.

[0147] As an embodiment, the first identity is used to identify an AI function.

[0148] As an embodiment, the benefits of the above method include that an inference / AI model / AI entity / AI function is identified by the first identity, which simplifies the design and unifies the understanding of different inferences / AI models / AI entities / AI functions among multiple nodes.

[0149] As an embodiment, the first identity is used to identify or indicate a resource set.

[0150] As an embodiment, the first identity is used to identify or indicate a resource set, and measurements of the one resource set are used to obtain a training data set.

[0151] As an embodiment, the first identity is used to identify or indicate a resource set, and the resource set identified or indicated by the first identity includes one or more RS resources.

[0152] As an embodiment, the first identity is used to identify or indicate a training data set.

[0153] As an embodiment, the benefits of the above method include that an AI training or AI training data set is identified by identifying an AI training or AI training data set, which establishes a consensus among different AI functions and further simplifies the design.

[0154] As an embodiment, the first channel information reporting includes CSI (channel state information).

[0155] As an embodiment, the CSI includes beam information.

[0156] As an embodiment, the CSI includes compressed CSI.

[0157] As one embodiment, the compressed CSI is non-codebook based channel information.

[0158] As one embodiment, the compressed CSI is neither a reporting quantity defined in 3GPP Rel-18 nor a reporting quantity defined in a version before 3GPP Rel-18.

[0159] As one embodiment, a target receiver of the compressed CSI is unaware of channel parameters recovered by the compressed CSI for a transmitter of the compressed CSI.

[0160] As one embodiment, the compressed CSI is artificial intelligence or machine learning based channel information.

[0161] As one embodiment, the compressed CSI is neural network based channel information.

[0162] As one embodiment, the compressed CSI is CNN (Conventional Neural Networks) based channel information.

[0163] As one embodiment, the first channel information reporting includes artificial intelligence or machine learning based channel information.

[0164] As one embodiment, the first channel information reporting includes neural network based channel information.

[0165] As one embodiment, the first channel information reporting includes CNN (Conventional Neural Networks) based channel information.

[0166] As one embodiment, the first channel information reporting includes a channel matrix.

[0167] As one embodiment, the first channel information reporting includes at least one of eigenvalues or eigenvectors of a channel.

[0168] As one embodiment, the first channel information reporting includes confidence information.

[0169] As one embodiment, the first channel information reporting includes beam information.

[0170] As an embodiment, the first channel information reporting comprises at least one of a PMI (Precoding Matrix Indicator), a CRI (CSI-RS Resource Indicator), a CQI (Channel Quality Indicator), a RI (Rank Indicator), a LI (Layer Indicator), an SSBRI (SS / PBCH Block Resource indicator), an RSRP, an SINR (signal-to-noise and interference ratio), a capability index, a TDCP (Time domain channel properties), or a confidence information.

[0171] As an embodiment, the first channel information reporting is non-codebook based.

[0172] As an embodiment, the first channel information reporting comprises a resource indication, the resource indication being used to indicate a beam or a RS (reference signal) resource.

[0173] As an embodiment, the first channel information reporting comprises at least one of a resource indication or an RSRP (reference signal received power), the resource indication being used to indicate a beam or a RS resource.

[0174] As an embodiment, the beam information comprises a resource indication, the resource indication being used to indicate a beam or a RS resource.

[0175] As an embodiment, the beam information comprises at least one of a resource indication or an RSRP (reference signal received power), the resource indication being used to indicate a beam or a RS resource.

[0176] As an embodiment, the resource indication is used to indicate one of a beam, a CSI-RS (Channel State Information Reference Signal) resource, or a synchronization signal resource.

[0177] As an embodiment, the resource indication is a CRI (CSI-RS Resource Indicator) or a SS / PBCH Block Resource indicator (SSBRI).

[0178] As an embodiment, the synchronization signal resource comprises at least a resource occupied by a synchronization signal.

[0179] As an embodiment, the synchronization signal resource is a SSB (Synchronization Signal Block).

[0180] As an embodiment, the synchronization signal resource is a SS / PBCH (Synchronization Signal / Physical Broadcast CHannel) block resource.

[0181] As an embodiment, the first information block indicates a first resource set comprising one or more RS resources, the first resource set being used for at least one of channel measurement or interference measurement for the first channel information reporting.

[0182] As an embodiment, the first information block indicates a first resource set comprising one or more RS resources, the first resource set being used for at least one of channel measurement or interference measurement for the first channel information reporting; the first channel information reporting indicating at least one RS resource in the first resource set.

[0183] As an embodiment, the first information block indicates a first resource set comprising one or more RS resources, the first resource set being used for at least one of channel measurement or interference measurement for the first channel information reporting; the first channel information reporting indicating at least one resource in a second resource set, the second resource set comprising resources not belonging to the first resource set.

[0184] As an embodiment, the generation of the first channel information reporting occupies at least one first type of resource and at least one second type of resource only when the first channel information reporting is generated based on inference.

[0185] As an embodiment, the generation of the first channel information reporting occupies at least one first type of resource and at least one second type of resource in at least one of the generators of the first channel information reporting.

[0186] As an embodiment, the generator of the first channel information report comprises the first node.

[0187] As an embodiment, the generator of the first channel information report is the first node.

[0188] As an embodiment, the generator of the first channel information report comprises the first node and a node other than the first node.

[0189] As an embodiment, the generation of the first channel information report occupies at least one first type of resource and at least one second type of resource in the transmitter of the first channel information report.

[0190] As an embodiment, the generation of the first channel information report occupies at least one first type of resource and at least one second type of resource in the first node in the present application.

[0191] As an embodiment, the generation of the first channel information report comprises: calculation of the first channel information report.

[0192] As an embodiment, the generation of the first channel information report comprises: inference of the first channel information report.

[0193] As an embodiment, the generation of the first channel information report comprises: inference for obtaining the first channel information report.

[0194] As an embodiment, the generation of the first channel information report comprises: the transmitter of the first channel information report performing a first operation, and the first channel information report depending on the output of the first operation.

[0195] As an embodiment, the first operation comprises inference.

[0196] As an embodiment, the first channel information report is calculated or generated by artificial intelligence or machine learning.

[0197] As an embodiment, the at least one first type of resource is used for calculating or generating the first channel information report.

[0198] As an embodiment, the at least one first type of resource is used for inferring the first channel information report.

[0199] As an embodiment, the at least one first type of resource is used for obtaining the first channel information report based on inference.

[0200] As an embodiment, the at least one first-type resource occupied by the generation of the first channel information report belongs to one processing unit.

[0201] As an embodiment, any first-type resource occupied by the generation of the first channel information report belongs to one processing unit.

[0202] As an embodiment, one first-type resource occupied by the generation of the first channel information report is one processing unit.

[0203] As an embodiment, neither the first-type resource nor the second-type resource is an air interface resource, the air interface resource including at least one of a time domain resource, a frequency domain resource, or a code domain resource.

[0204] As an embodiment, the first-type resource is used for at least one of processing, calculation, or inference.

[0205] As an embodiment, the first-type resource is used for at least one of processing, calculation, or inference of channel information.

[0206] As an embodiment, the first-type resource is used for calculation.

[0207] As an embodiment, the first-type resource is used for inference.

[0208] As an embodiment, the first-type resource is used for at least addition and multiplication operations.

[0209] As an embodiment, the first-type resource is used for at least convolution operations.

[0210] As an embodiment, the first-type resource is a processing unit.

[0211] As an embodiment, the first-type resource includes a computing resource.

[0212] As an embodiment, the second-type resource is used for storage.

[0213] As an embodiment, the second-type resource includes a storage unit or a storage space.

[0214] As an embodiment, the second-type resource includes a memory.

[0215] As an embodiment, the second-type resource is used for storing part or all of parameters required for inference.

[0216] As an embodiment, the second-type resource is used for storing at least one of part or all of inference intermediate results, or part or all of inference outputs.

[0217] As an embodiment, the second type of resource is used to store part or all parameters of an AI model.

[0218] As an embodiment, the second type of resource is used to store at least one of part or all parameters of an AI model, part or all inference intermediate results, or part or all inference outputs.

[0219] As an embodiment, the at least one second type of resource occupied by generation of the first channel information report is used to store part or all parameters used in generation of the first channel information report.

[0220] As an embodiment, the at least one second type of resource occupied by generation of the first channel information report is used to store part or all parameters of an AI model used in generation of the first channel information report.

[0221] As an embodiment, the at least one second type of resource occupied by generation of the first channel information report is used to store at least one of part or all parameters of an AI model, part or all inference intermediate results, or part or all inference outputs used in generation of the first channel information report.

[0222] As an embodiment, the at least one second type of resource occupied by generation of the first channel information report is used to store at least one of part or all inference intermediate results, or part or all inference outputs in generation of the first channel information report.

[0223] As an embodiment, the second type of resource is used to store one or more of a convolution kernel size, a convolution layer number, a convolution step length, a pooling kernel size, a pooling kernel step length, a pooling function, an activation function, or a feature map number.

[0224] As an embodiment, the second type of resource is used to store one or more of a convolution kernel, a pooling kernel, a pooling function, an activation function, a parameter of a pooling function, or a parameter of an activation function.

[0225] As an embodiment, the second type of resource is used to store part or all parameters in the target first type of parameter group in Embodiment 16.

[0226] As an embodiment, the first type of resource is used for at least one of processing, calculation, or inference, and the second type of resource is used for storage.

[0227] As an embodiment, the first type of resource is a processing unit, and the second type of resource is used for storage.

[0228] As an embodiment, the at least one first type of resource and the at least one second type of resource occupied by the generation of the first channel information report belong to at least one processing unit.

[0229] As an embodiment, the at least one first type of resource and the at least one second type of resource occupied by the generation of the first channel information report belong to one processing unit.

[0230] As an embodiment, one processing unit comprises one or more first type of resources.

[0231] As an embodiment, one processing unit comprises one or more first type of resources and one or more second type of resources.

[0232] For the processing unit in the above embodiments, some typical but non-limiting implementations are described as follows:

[0233] As an embodiment, the processing unit is used for computing or generating channel information.

[0234] As an embodiment, the processing unit is used for processing channel information.

[0235] As an embodiment, the processing unit is a CSI processing unit.

[0236] As an embodiment, the processing unit is an AI processing unit (APU).

[0237] As an embodiment, the processing unit is a Central Processing Unit.

[0238] As an embodiment, the processing unit is a GPU (graphics processing unit).

[0239] As an embodiment, the processing unit is a general-purpose processing unit.

[0240] As an embodiment, the processing unit is a GPGPU (General-purpose computing on graphics processing units).

[0241] As an embodiment, the first time point is different from the second time point, or the third time point is different from the fourth time point, only when the first channel information report is generated based on inference.

[0242] As one embodiment, the first time instant is different from the second time instant, the third time instant is different from the fourth time instant only when the first channel information reporting is generated based on inference.

[0243] As one embodiment, the first time instant is later than the second time instant, the third time instant is equal to the fourth time instant.

[0244] As one embodiment, the first time instant is equal to the second time instant, the third time instant is earlier than the fourth time instant.

[0245] As one embodiment, the first time instant is later than the second time instant, the third time instant is earlier than the fourth time instant.

[0246] As one embodiment, the first time instant is different from the second time instant, the third time instant is different from the fourth time instant.

[0247] Typically, the first time instant is different from the second time instant means that the first time instant is later than the second time instant.

[0248] Typically, the third time instant is different from the fourth time instant means that the third time instant is earlier than the fourth time instant.

[0249] As one embodiment, the first time instant is later than the second time instant comprises that the first time instant is later than the second time instant by at least a first time interval.

[0250] As one embodiment, the first time instant is later than the second time instant comprises that the first time instant is later than the second time instant by at least a third time interval.

[0251] As one embodiment, the first information block indicates the third time interval.

[0252] As one embodiment, the third time interval is predefined.

[0253] As one embodiment, the third time interval is configurable.

[0254] As one embodiment, the third time interval is indicated by the second node.

[0255] As one embodiment, one parameter in a calculation formula of the third time interval is indicated by the first node.

[0256] As one embodiment, one parameter in a calculation formula of the third time interval is indicated by the second node.

[0257] As one embodiment, one parameter in a calculation formula of the third time interval is a capability parameter of the first node.

[0258] As an embodiment, the third time interval is indicated by a capability parameter of the first node.

[0259] As an embodiment, the third time interval is indicated by the second information block in the present application.

[0260] As an embodiment, one parameter in the calculation formula of the third time interval is indicated by the second information block in the present application.

[0261] As an embodiment, the third time point is the last time point of a physical layer channel carrying the first channel information report.

[0262] As an embodiment, the third time point is the end time of the last symbol of a physical layer channel carrying the first channel information report.

[0263] As an embodiment, the fourth time point is indicated by the second node.

[0264] As an embodiment, the fourth time point is determined by the first node or related determination is implemented.

[0265] As an embodiment, the fourth time point is the last time point of a physical layer channel carrying the first channel information report.

[0266] As an embodiment, the fourth time point is later than the last time point of a physical layer channel carrying the first channel information report.

[0267] As an embodiment, the fourth time point is the end time of a time slot in which the first channel information report is located.

[0268] As an embodiment, the fourth time point is the end time of the last symbol of a physical layer channel carrying the first channel information report.

[0269] As an embodiment, the fourth time point is later than the end time of the last symbol of a physical layer channel carrying the first channel information report.

[0270] As an embodiment, the third time point is the last time point of a physical layer channel carrying the first channel information report, and the fourth time point is equal to the third time point.

[0271] As an embodiment, the third time point is the last time point of a physical layer channel carrying the first channel information report, and the fourth time point is later than the third time point.

[0272] As an embodiment, the third time instant is a time instant of a termination of a last symbol of a physical layer channel carrying the reporting of the first channel information, and the fourth time instant is equal to the third time instant.

[0273] As an embodiment, the third time instant is a time instant of a termination of a last symbol of a physical layer channel carrying the reporting of the first channel information, and the fourth time instant is later than the third time instant.

[0274] As an embodiment, the third time instant is a time instant of a termination of a last symbol of a physical layer channel carrying the reporting of the first channel information, and the fourth time instant is a time instant of a termination of a time slot in which the reporting of the first channel information is located.

[0275] Typically, the last symbol refers to a latest symbol.

[0276] Typically, the last time instant refers to a latest time instant or a termination time instant.

[0277] Typically, the first symbol refers to an earliest symbol.

[0278] As an embodiment, the symbol is a single carrier symbol.

[0279] As an embodiment, the symbol is a multi-carrier symbol.

[0280] As an embodiment, the symbol is obtained after a transform precoding output is generated by an OFDM symbol.

[0281] As an embodiment, the multi-carrier symbol is an OFDM (Orthogonal Frequency Division Multiplexing) symbol.

[0282] As an embodiment, the multi-carrier symbol is an SC-FDMA (Single Carrier-Frequency Division Multiple Access) symbol.

[0283] As an embodiment, the multi-carrier symbol is a DFT-S-OFDM (Discrete Fourier Transform Spread OFDM) symbol.

[0284] As one embodiment, the multi-carrier symbol is a FBMC (Filter Bank Multi Carrier) symbol.

[0285] As one embodiment, the multi-carrier symbol comprises a CP (Cyclic Prefix).

[0286] Embodiment 2

[0287] Embodiment 2 illustrates a schematic diagram of a network architecture according to one embodiment of the present application, as shown in FIG. 2.

[0288] FIG. 2 illustrates a network architecture 200. The network architecture 200 is a 5G NR (New Radio) / LTE (Long-Term Evolution) / LTE-A (Long-Term Evolution Advanced) system, or the network architecture 200 is a 5G+ network architecture, or the network architecture 200 is a 6G network architecture, or the network architecture 200 is a network architecture adopted in 3GPP future continued evolution; the network architecture 200 can be referred to as 5GS (5G System) / EPS (Evolved Packet System), or the network architecture 200 can be referred to as 6GS (6G System); the network architecture 200 includes a UE (User Equipment) 201, a RAN (Radio Access Network) 202, a core network 210, a HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and at least one of an Internet service 230. The network architecture 200 can be interconnected with other access networks, but these entities / interfaces are not shown for simplicity. As illustrated, the network architecture 200 provides packet-switched services, however, those skilled in the art will readily appreciate that the various concepts presented throughout this application are amenable to use with networked systems including, but not limited to, other cellular systems, wireless or wired packet-switched network systems, or other mobile communication systems. The RAN includes a node 203. The RAN can also include other nodes 204. The node 203 provides user and control plane protocol terminations toward the UE 201. The node 203 can be connected to the other nodes 204 via an Xn interface (e.g., backhaul) / X2 interface. The node 203 can also be referred to as a base station, a base transceiver station, a radio base station, a radio transceiver, a transceiver function, a basic service set (BSS), an extended service set (ESS), a TRP (Transmit Receive Point), or some other suitable terminology. The core network 210 is a 5GC (5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is a 6GC; the node 203 provides an access point to the core network 210 for the UE 201.Examples of UE 201 include cellular phones, smart phones, session initiation protocol (SIP) phones, laptop computers, personal digital assistants (PDAs), satellite radios, non-terrestrial base station communications, satellite mobile communications, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, drones, aerial vehicles, narrowband internet of things devices, machine type communication devices, land vehicles, automobiles, wearable devices, or any other similar functional device. Those skilled in the art will also The node 203 is connected by an S1 / NG interface to the core network 210. The core network 210 comprises a MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, further MME / AMF / SMF 214, a S-GW (Service Gateway) / UPF (User Plane Function) 212 and a P-GW (Packet Data Network Gateway) / UPF 213. The MME / AMF / SMF 211 is the control node that processes the signaling between UE 201 and the core network 210. Generally, the MME / AMF / SMF 211 provides bearer and connection management. All user IP (Internet Protocal) packets are transferred through the S-GW / UPF 212, which itself is connected to the P-GW / UPF 213. The P-GW provides UE IP address allocation as well as other functions. The P-GW / UPF 213 is connected to the Internet services 230. The Internet services 230 comprise operator corresponding Internet protocol services, in particular can comprise the Internet, an intranet, an IMS (IP Multimedia Subsystem) and a packet switching service.

[0289] As one embodiment, the first node in the present application comprises the UE 201.

[0290] As one embodiment, the second node in the present application comprises the node 203.

[0291] As one embodiment, the second node in the present application comprises the core network 210.

[0292] As one embodiment, the second node in the present application comprises the node 203 and the core network 210.

[0293] As one embodiment, the wireless link between the UE 201 and the node 203 comprises a cellular network link.

[0294] As one embodiment, the first type of resource and the second type of resource in the present application are in the UE 201.

[0295] As one embodiment, the first channel information reporting in the present application is generated in the UE 201.

[0296] As one embodiment, the sender of the first channel information reporting in the present application comprises the UE 201.

[0297] As one embodiment, the target receiver of the first channel information reporting in the present application comprises the node 203.

[0298] As one embodiment, the first information block in the present application is generated in the node 203.

[0299] As one embodiment, the sender of the first information block in the present application comprises the node 203.

[0300] As one embodiment, the target receiver of the first information block in the present application comprises the UE 201.

[0301] As one embodiment, the second information block in the present application is generated in the UE 201.

[0302] As one embodiment, the sender of the second information block in the present application comprises the UE 201.

[0303] As one embodiment, the target receiver of the second information block in the present application comprises the node 203.

[0304] As one embodiment, the first signaling in the present application is generated in the node 203.

[0305] As one embodiment, the sender of the first signaling in the present application comprises the node 203.

[0306] As one embodiment, the target receiver of the first signaling in the present application comprises the UE 201.

[0307] As one example, the second signaling in this document is generated in the node 203.

[0308] As one example, the sender of the second signaling in this document includes the node 203.

[0309] As one example, the target receiver of the second signaling in this document includes the UE 201.

[0310] Embodiment 3

[0311] Embodiment 3 illustrates a diagram of an embodiment of a radio protocol architecture for the user and control planes according to one embodiment of the present application, as shown in FIG. 3.

[0312] Figure 3 is a schematic diagram illustrating an embodiment of a radio protocol architecture for a user plane 350 and a control plane 300, Figure 3 showing three layers of the radio protocol architecture for the control plane 300 between a first communication node device (UE, gNB or RSU in V2X) and a second communication node device (gNB, UE or RSU in V2X), or between two UEs: Layer 1, Layer 2, and Layer 3. Layer 1 (LI layer) is the lowest layer and implements various PHY (Physical layer) signal processing functions. The LI layer will be referred to as the PHY 301 herein. Layer 2 (L2 layer) 305 is above the PHY 301 and is responsible for the link between the first communication node device and the second communication node device, or between two UEs. The L2 layer 305 includes a MAC (Medium Access Control) sublayer 302, a RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate the functions of the second communication node device. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. The PDCP sublayer 304 also provides security functions, such as ciphering of the data packets, and header compression. The RLC sublayer 303 provides segmentation and reassembly of upper layer data packets, retransmission of lost data packets, and reordering of data packets to compensate for out-of-order reception due to HARQ. The MAC sublayer 302 provides multiplexing between logical and transport channels. The MAC sublayer 302 is also responsible for allocating the various radio resources (e.g., resource blocks) in one cell among the UEs. The MAC sublayer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sublayer 306 in Layer 3 (L3 layer) in the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and the use of RRC signaling between the second communication node device and the first communication node device for configuring the lower layers. The radio protocol architecture for the user plane 350 includes Layer 1 (LI layer) and Layer 2 (L2 layer), which are substantially the same as the corresponding layers and sublayers in the control plane 300 for the physical layer 351, the PDCP sublayer 354 in the L2 layer 355, the RLC sublayer 353 in the L2 layer 355, and the MAC sublayer 352 in the L2 layer 355 for the first communication node device and the second communication node device, but the PDCP sublayer 354 also provides header compression for upper layer data packets to reduce radio transmission overhead.The L2 layer 355 in the user plane 350 also includes a SDAP (Service Data Adaptation Protocol) sublayer 356, which is responsible for the mapping between a QoS flow and a data radio bearer (DRB) to support the diversity of services. Although not illustrated, the first communication node device can have several upper layers above the L2 layer 355, including a network layer (e.g., IP layer) that terminates at a P-GW on the network side and an application layer that terminates at the other end of the connection (e.g., a remote UE, a server, etc.).

[0313] As one embodiment, the wireless protocol architecture in FIG. 3 is applicable to the first node.

[0314] As one embodiment, the wireless protocol architecture in FIG. 3 is applicable to the second node.

[0315] As one embodiment, the higher layer in this application refers to a layer above the physical layer.

[0316] As one embodiment, the second information block is generated at the RRC sublayer 306.

[0317] As one embodiment, the second information block is generated at the PHY 301 or the PHY 351.

[0318] As one embodiment, the second information block is generated at the MAC sublayer 302 or the MAC sublayer 352.

[0319] As one embodiment, the first information block is generated at the RRC sublayer 306.

[0320] As one embodiment, the first signaling is generated at the PHY 301 or the PHY 351.

[0321] As one embodiment, the second signaling is generated at the PHY 301 or the PHY 351.

[0322] As one embodiment, the second signaling is generated at the MAC sublayer 302 or the MAC sublayer 352.

[0323] As one embodiment, the second signaling is generated at the RRC sublayer 306.

[0324] As one embodiment, the reference signal in the first resource set is generated at the PHY 301 or the PHY 351.

[0325] As one embodiment, the signal in the second set of resources is generated at the PHY 301 or the PHY 351.

[0326] As one embodiment, the first channel information reporting is generated at the PHY 301 or the PHY 351.

[0327] Embodiment 4

[0328] Embodiment 4 illustrates a schematic diagram of a first communication device and a second communication device according to an embodiment of the application, as shown in FIG. 4. FIG. 4 is a block diagram of a first communication device 410 and a second communication device 450 in communication with each other in an access network.

[0329] The first communication device 410 includes a controller / processor 475, a memory 476, a receive processor 470, a transmit processor 416, a multiple antenna receive processor 472, a multiple antenna transmit processor 471, a transmitter / receiver 418, and an antenna 420.

[0330] The second communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmit processor 468, a receive processor 456, a multiple antenna transmit processor 457, a multiple antenna receive processor 458, a transmitter / receiver 454, and an antenna 452.

[0331] In the transmission from the first communication device 410 to the second communication device 450, at the first communication device 410, upper layer packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements functionality of the L2 layer. In the DL (DownLink), the controller / processor 475 provides header compression, ciphering, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocations for the second communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the second communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for the LI layer (i.e., physical layer). The transmit processor 416 implements coding and interleaving to facilitate forward error correction (FEC) at the second communication device 450, and constellation mapping based on various modulation schemes (e.g., binary phase-shift keying (BPSK), quadrature phase-shift keying (QPSK), M-phase-shift keying (M-PSK), M-quadrature amplitude modulation (M-QAM)). The multi-antenna transmit processor 471 performs digital spatial pre-coding of the coded and modulated symbols, including codebook-based and non-codebook-based pre-coding, and beamforming processing, generating one or more parallel streams. The transmit processor 416 then maps to each parallel stream to subcarriers, multiplexes the modulated symbols with reference signals (e.g., pilot) in time domain and / or frequency domain, and then performs an inverse fast Fourier transform (IFFT) to generate a time-domain multicarrier symbol stream. The multi-antenna transmit processor 471 then performs transmit analog pre-coding / 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 a radio frequency stream, and then provides the radio frequency stream to the corresponding antenna 420.

[0332] In transmission from the first communication device 410 to the second communication device 450, at the second communication device 450, each receiver 454 receives a signal through its respective antenna 452. Each receiver 454 recovers information modulated onto an RF carrier and converts the RF stream into a baseband, multicarrier symbol stream to be provided to a receive processor 456. The receive processor 456 and a multiple access receive processor 458 implement various signal processing functions of the Ll layer. The multiple access receive processor 458 performs receive analog precoding / beamforming operations on the baseband, multicarrier symbol stream from the receivers 454. The receive processor 456 converts the baseband, multicarrier symbol stream from the receive analog precoding / beamforming operations from the time domain to the frequency domain using a Fast Fourier Transform (FFT). In the frequency domain, the physical layer data signals and the reference signals are demultiplexed by the receive processor 456, with the reference signals to be used for channel estimation and the data signals to be recovered after multi-antenna detection in the multiple access receive processor 458 for any parallel streams destined to the second communication device 450. The symbols on each parallel stream are demodulated and recovered in the receive processor 456 and generate soft decisions. The receive processor 456 then decodes and de-interleaves the soft decisions to recover the upper layer data and control signals transmitted by the first communication device 410 on the physical channels. The upper layer data and control signals are then provided to a controller / processor 459. The controller / processor 459 implements the functions of the L2 layer. The controller / processor 459 can be associated with a memory 460 that stores program codes and data. The memory 460 can be referred to as a computer-readable medium. In the DL, the controller / processor 459 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover upper layer data packets from the core network. The upper layer data packets are then provided to all protocol layers above the L2 layer. Various control signals can also be provided to the L3 for L3 processing. The controller / processor 459 is also responsible for error detection using an acknowledgement (ACK) and / or negative acknowledgement (NACK) protocol to support HARQ operations.

[0333] In the transmission from the second communication device 450 to the first communication device 410, at the second communication device 450, a data source 467 is used to provide upper layer packets to a controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmit function described at the first communication device 410 in the DL, the controller / processor 459 implements header compression, ciphering, packet segmentation and reordering, and multiplexing between logical and transport channels based on radio resource allocations for the first communication device 410, implements L2 layer functionality for the user plane and control plane. The controller / processor 459 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the first communication device 410. A transmit processor 468, in conjunction with a multi-antenna transmit processor 457, performs modulation mapping, channel coding processing, digital multi-antenna spatial processing, including codebook-based and non-codebook-based precoding, and beamforming processing, and then the transmit processor 468 generates parallel streams of symbols that are modulated onto different carriers, and the modulated symbol streams are then provided to different antennas 452 via transmitters 454 after analog precoding / beamforming at the multi-antenna transmit processor 457. Each transmitter 454 modulates a respective symbol stream, converts the modulated symbol stream from digital form to analog form, and transmits the analog signal via the corresponding antenna 452.

[0334] In the transmission from the second communication device 450 to the first communication device 410, the functionality at the first communication device 410 is similar to the functionality described in connection with the reception at the second communication device 450 in the transmission from the first communication device 410 to the second communication device 450. Each receiver 418 receives a signal from its respective antenna 420, converts the received signal to a baseband signal, and provides the baseband signal to a multi-antenna receive processor 472 and a receive processor 470. The receive processor 470 and the multi-antenna receive processor 472, in conjunction with the controller / processor 475, implement the L1 layer functions. The controller / processor 475 implements L2 layer functionality. The controller / processor 475 can be associated with a memory 476 that stores program codes and data. The memory 476 can be referred to as a computer-readable medium. The controller / processor 475 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover upper layer packets from the second communication device 450. Upper layer packets from the controller / processor 475 can be provided to a core network. The controller / processor 475 is also responsible for error detection using an ACK and / or NACK protocol to support HARQ operations.

[0335] As one embodiment, the second communication device 450 comprises: at least one processor and at least one memory including computer program code; the at least one memory and the computer program code configured to, with the at least one processor, cause the performance of the following: receiving a first information block; sending a first channel information reporting; wherein the first information block is used for configuring the first channel information reporting; the generation of the first channel information reporting occupies at least one first type of resource and at least one second type of resource; the first channel information reporting occupies the at least one first type of resource from a first time instant until a third time instant, and the first channel information reporting occupies the at least one second type of resource from a second time instant until a fourth time instant; the first time instant is equal to or later than the second time instant, and the third time instant is earlier than or equal to the fourth time instant; the first time instant is different from the second time instant, or the third time instant is different from the fourth time instant.

[0336] As one embodiment, the second communication device 450 comprises: a memory storing a computer readable program of instructions which, when executed by at least one processor, causes the performance of the following: receiving a first information block; sending a first channel information reporting; wherein the first information block is used for configuring the first channel information reporting; the generation of the first channel information reporting occupies at least one first type of resource and at least one second type of resource; the first channel information reporting occupies the at least one first type of resource from a first time instant until a third time instant, and the first channel information reporting occupies the at least one second type of resource from a second time instant until a fourth time instant; the first time instant is equal to or later than the second time instant, and the third time instant is earlier than or equal to the fourth time instant; the first time instant is different from the second time instant, or the third time instant is different from the fourth time instant.

[0337] As an embodiment, the first communication device 410 comprises: at least one processor and at least one memory including a computer program code; the at least one memory and the computer program code are configured to, with the at least one processor, cause the first communication device 410 to perform at least the following: sending a first information block; receiving a first channel information reporting; wherein the first information block is used for configuring the first channel information reporting; the first channel information reporting occupies at least one first type of resource and at least one second type of resource; the first channel information reporting occupies the at least one first type of resource from a first time instant until a third time instant, and occupies the at least one second type of resource from a second time instant until a fourth time instant; the first time instant is equal to or later than the second time instant, and the third time instant is earlier than or equal to the fourth time instant; the first time instant is different from the second time instant, or the third time instant is different from the fourth time instant.

[0338] As an embodiment, the first communication device 410 comprises: a memory storing a computer readable program of instructions which, when executed by at least one processor, causes actions comprising: sending a first information block; receiving a first channel information reporting; wherein the first information block is used for configuring the first channel information reporting; the first channel information reporting occupies at least one first type of resource and at least one second type of resource; the first channel information reporting occupies the at least one first type of resource from a first time instant until a third time instant, and occupies the at least one second type of resource from a second time instant until a fourth time instant; the first time instant is equal to or later than the second time instant, and the third time instant is earlier than or equal to the fourth time instant; the first time instant is different from the second time instant, or the third time instant is different from the fourth time instant.

[0339] As an embodiment, the first node in the present application comprises the second communication device 450.

[0340] As an embodiment, the second node in the present application comprises the first communication device 410.

[0341] As an embodiment, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, the data source 467} is used for receiving the first signaling in the present 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, the memory 476} is used for sending the first signaling in the present application.

[0342] As one embodiment, at least one of {the antenna 452, the receiver 454, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is configured to receive the second signaling in the present application; at least one of {the antenna 420, the transmitter 418, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, the memory 476} is configured to transmit the second signaling in the present application.

[0343] As one embodiment, at least one of {the antenna 452, the receiver 454, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is configured to receive the first information block in the present application; at least one of {the antenna 420, the transmitter 418, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, the memory 476} is configured to transmit the first information block in the present application.

[0344] As one embodiment, at least one of {the antenna 452, the receiver 454, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is configured to receive the reference signal in the first resource set in the present application; at least one of {the antenna 420, the transmitter 418, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, the memory 476} is configured to transmit the reference signal in the first resource set in the present application.

[0345] As one embodiment, at least one of {the antenna 452, the transmitter 454, the transmit processor 468, the multi-antenna transmit processor 457, the controller / processor 459, the memory 460, the data source 467} is configured to transmit the second information block in the present application; at least one of {the antenna 420, the receiver 418, the receive processor 470, the multi-antenna receive processor 472, the controller / processor 475, the memory 476} is configured to receive the second information block in the present application.

[0346] As one example, at least one of {the antenna 452, the transmitter 454, the transmit processor 468, the multi-antenna transmit processor 457, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is used for the first channel information reporting generation in the present application.

[0347] As one example, at least one of {the antenna 452, the transmitter 454, the transmit processor 468, the multi-antenna transmit processor 457, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is used for the first operation in the present application.

[0348] As one example, at least one of {the antenna 452, the transmitter 454, the transmit processor 468, the multi-antenna transmit processor 457, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is used for the first operation in the present application; at least one of {the antenna 420, the receiver 418, the receive processor 470, the multi-antenna receive processor 472, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, the memory 476} is used for the second operation in the present application.

[0349] As one example, at least one of {the antenna 452, the transmitter 454, the transmit processor 468, the multi-antenna transmit processor 457, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is used for transmitting the first channel information reporting in the present application; at least one of {the antenna 420, the receiver 418, the receive processor 470, the multi-antenna receive processor 472, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, the memory 476} is used for receiving the first channel information reporting in the present application.

[0350] Embodiment 5

[0351] Embodiment 5 illustrates a flow chart of transmission according to one embodiment of the present application; as shown in FIG. 5. In FIG. 5, the second node N1 and the first node U1 are communication nodes for transmission over an air interface. In FIG. 5, the steps in block F51 are optional.

[0352] For the second node N1, the first information block is transmitted in step S511; the first signaling is transmitted in step S512; and the first channel information report is received in step S513.

[0353] For the first node U1, the first information block is received in step S521; the first signaling is received in step S522; and the first channel information report is transmitted in step S523.

[0354] In embodiment 5, the first information block is used for configuring the first channel information report; the generation of the first channel information report occupies at least one first type resource and at least one second type resource; the first channel information report occupies the at least one first type resource from a first time point until a third time point, and the first channel information report occupies the at least one second type resource from a second time point until a fourth time point; the first time point is equal to or later than the second time point, and the third time point is earlier than or equal to the fourth time point; the first time point is different from the second time point, or the third time point is different from the fourth time point. The first signaling is physical layer signaling triggering the first channel information report.

[0355] As an embodiment, the first node U1 is the first node in the present application.

[0356] As an embodiment, the second node N1 is the second node in the present application.

[0357] As an embodiment, the air interface between the second node N1 and the first node U1 includes a wireless interface between a base station device and a user equipment.

[0358] As an embodiment, the air interface between the second node N1 and the first node U1 includes a wireless interface between a relay node device and a user equipment.

[0359] As an embodiment, the air interface between the second node N1 and the first node U1 includes a wireless interface between a user equipment and a user equipment.

[0360] As an embodiment, the second node N1 is a serving cell maintaining base station of the first node U1.

[0361] As an embodiment, the first information block is carried by higher layer signaling.

[0362] As an embodiment, the first information block is carried by RRC (Radio Resource Control) signaling.

[0363] As an embodiment, the first information block comprises part or all fields in one RRC IE (Information Element).

[0364] As an embodiment, the first information block comprises part or all fields in one or more RRC IE (Information Element).

[0365] As an embodiment, the first information block comprises part or all fields in one IE CSI-ReportConfig.

[0366] As an embodiment, the first information block comprises part or all fields in IE ServingCellConfig.

[0367] As an embodiment, the first information block comprises part or all fields in IE CSI-MeasConfig.

[0368] As an embodiment, the first information block comprises part or all fields in IE ServingCellConfigCommon.

[0369] As an embodiment, the first information block comprises part or all fields in IE ServingCellConfig.

[0370] As an embodiment, the first information block indicates at least one of a first resource set, a reporting type of the first channel information reporting, or a reporting quantity included in the first channel information reporting; the first resource set comprises one or more RS resources, and the first resource set is used for at least one of channel measurement or interference measurement of the first channel information reporting.

[0371] As an embodiment, the first information block indicates at least one of a first resource set, a second resource set, a reporting type of the first channel information reporting, or a reporting quantity included in the first channel information reporting; the first resource set comprises one or more RS resources, and the first resource set is used for at least one of channel measurement or interference measurement of the first channel information reporting; the second resource set comprises one or more resources.

[0372] As a sub-embodiment of the above embodiment, the second resource set comprises one or more RS resources.

[0373] As a sub-example of the above embodiment, the resources in the second set of resources comprise at least one of an antenna port, a TCI state, QCL information, a time-frequency resource, a time-frequency code resource, a beam, an RS resource, a vector, or a matrix.

[0374] As an example, the reporting type of the first channel information reporting is one of periodic reporting, aperiodic reporting, semi-persistent reporting, or event triggered reporting.

[0375] As an example, the reporting type of the first channel information reporting is one of periodic reporting, aperiodic reporting, or semi-persistent reporting.

[0376] As an example, the first channel information reporting is one of periodic reporting, semi-persistent reporting, aperiodic reporting, or event triggered reporting.

[0377] As an example, the first channel information reporting is one of semi-persistent reporting, aperiodic reporting, or event triggered reporting.

[0378] As an example, the first channel information reporting is aperiodic reporting.

[0379] As an example, the first channel information reporting is semi-persistent reporting.

[0380] As an example, the first channel information reporting is an initial semi-persistent reporting.

[0381] Typically, the initial semi-persistent reporting is an initial reporting of a semi-persistent reporting.

[0382] As an example, the first channel information reporting is an initial semi-persistent reporting triggered by physical layer signaling.

[0383] As an example, the first channel information reporting is an aperiodic reporting triggered by physical layer signaling.

[0384] As an example, the first channel information reporting is an event triggered reporting.

[0385] As an example, the first signaling is physical layer signaling.

[0386] As an example, the first signaling carries control information.

[0387] As an embodiment, the first signaling is signaling transmitted on a physical layer channel.

[0388] As an embodiment, the first signaling is control signaling transmitted on a physical layer channel.

[0389] As an embodiment, the first signaling is control information transmitted on a physical layer channel.

[0390] As an embodiment, the first signaling is DCI (downlink control information).

[0391] As an embodiment, the first signaling is transmitted on a physical layer control channel.

[0392] As an embodiment, the first signaling is DCI transmitted on a PDCCH (Physical Downlink Control Channel).

[0393] As an embodiment, the first signaling includes a first field, the first field including at least one bit; the first field in the first signaling triggers the first channel information reporting.

[0394] As an embodiment, the first field is a CSI request field.

[0395] As an embodiment, the first signaling is physical layer signaling triggering the first channel information reporting includes: the first channel information reporting is semi-persistent reporting, and the first signaling is used to activate the semi-persistent reporting.

[0396] As an embodiment, the first signaling is physical layer signaling triggering the first channel information reporting includes: the first signaling is physical layer signaling, and the first channel information reporting is semi-persistent reporting activated by the first signaling.

[0397] As an embodiment, the first signaling is physical layer signaling triggering the first channel information reporting includes: the first signaling is physical layer signaling, and the first channel information reporting is initial semi-persistent reporting activated by the first signaling.

[0398] As an embodiment, the first signaling is physical layer signaling triggering the first channel information reporting includes: the first signaling includes physical layer signaling, and the first channel information reporting is aperiodic reporting triggered by the first signaling.

[0399] As one embodiment, the first signaling is physical layer signaling triggering the first channel information reporting comprises: the first signaling comprises DCI, and the first channel information reporting is a first initial semi-persistent reporting activated by the first signaling.

[0400] As one embodiment, the first signaling is physical layer signaling triggering the first channel information reporting comprises: the first signaling comprises DCI, and the first channel information reporting is a first initial semi-persistent reporting activated by the first signaling.

[0401] As one embodiment, the first signaling is physical layer signaling triggering the first channel information reporting comprises: the first signaling comprises DCI, and the first channel information reporting is aperiodic reporting triggered by the first signaling.

[0402] As one embodiment, the first signaling is physical layer signaling triggering the first channel information reporting comprises: the first signaling comprises physical layer signaling, and the first channel information reporting is aperiodic reporting or initial semi-persistent reporting triggered by the first signaling.

[0403] As one embodiment, the first signaling is physical layer signaling triggering the first channel information reporting comprises: the first signaling comprises DCI, and the first channel information reporting is aperiodic reporting or initial semi-persistent reporting triggered by the first signaling.

[0404] As one embodiment, the first node performs a first operation, and the first channel information reporting depends on an output of the first operation.

[0405] As one embodiment, the first node deploys the first operation.

[0406] As one embodiment, the deploying the first operation comprises: obtaining the first operation.

[0407] As one embodiment, the deploying the first operation comprises: loading the first operation.

[0408] As one embodiment, the deploying the first operation comprises: making a request for loading the first operation.

[0409] As one embodiment, the first operation is used for CSI prediction, beam prediction, or CSI compression.

[0410] As one embodiment, the first operation is used for beam prediction or CSI prediction.

[0411] As one embodiment, the first node performs a first operation, and the second node performs a second operation.

[0412] As one embodiment, the second node performs a second operation; wherein the first node performs a first operation, an output of the first operation comprises a first CSI, the first channel information report carries the first CSI, and the first CSI is used as an input of the second operation to generate a second CSI.

[0413] As one embodiment, the second node deploys a second operation.

[0414] As one embodiment, the deploying a second operation comprises obtaining the second operation.

[0415] As one embodiment, the deploying a second operation comprises loading the second operation.

[0416] As one embodiment, the deploying a second operation comprises submitting a request to load the second operation.

[0417] As one embodiment, the first operation is for CSI compression, and the second operation is for CSI recovery.

[0418] As one embodiment, an output of the first operation comprises a first CSI, the first channel information report carries the first CSI, and the first CSI is used as an input of the second operation by the second node to generate a second CSI.

[0419] Embodiments 6A-6C

[0420] Embodiments 6A-6C respectively illustrate a schematic diagram of a first time instant and a second time instant according to one embodiment of the present application; as shown in Figs. 6A-6C respectively.

[0421] In embodiment 6A, whether the first time instant is equal to or later than the second time instant depends on a reporting type of the first channel information report, the reporting type of the first channel information report being one of periodic reporting, aperiodic reporting, semi-persistent reporting, or event triggered reporting.

[0422] As one embodiment, when the reporting type of the first channel information report is a first reporting type, the first time instant is equal to the second time instant; when the reporting type of the first channel information report is a second reporting type, the first time instant is later than the second time instant; the first reporting type and the second reporting type are two different reporting types among periodic reporting, aperiodic reporting, semi-persistent reporting, or event triggered reporting.

[0423] As an embodiment, when the first channel information reporting is periodic reporting, the first time instant is equal to the second time instant; when the first channel information reporting is aperiodic reporting, the first time instant is later than the second time instant.

[0424] As an embodiment, when the first channel information reporting is semi-persistent reporting, whether the first time instant is equal to or later than the second time instant depends on whether the first channel information reporting is initial semi-persistent reporting; when the first channel information reporting is initial semi-persistent reporting, the first time instant is later than the second time instant.

[0425] As an embodiment, the above method has the advantage of: different schemes are adopted for different reporting types, and the design is optimized.

[0426] As an embodiment, the above method has the advantage of: better adaptation to various types of channel information reporting, and good flexibility and adaptability.

[0427] As an embodiment, the above method has the advantage of: better adaptation to various processing capabilities, better adaptation to various types of application scenarios or terminals, and good flexibility and adaptability.

[0428] As an embodiment, the above method has the advantage of: better adaptation to various types of application scenarios or terminals, and good flexibility and adaptability.

[0429] In embodiment 6B, when a first condition is met, the first time instant is later than the second time instant; the first condition includes that the first channel information reporting is triggered by physical layer signaling.

[0430] As an embodiment, the first time instant is later than the second time instant only when a first condition is met; the first condition includes that the first channel information reporting is triggered by physical layer signaling.

[0431] As an embodiment, the first channel information reporting being triggered by physical layer signaling includes that the first channel information reporting is aperiodic reporting or initial semi-persistent reporting triggered by physical layer signaling.

[0432] As an embodiment, the first channel information reporting being triggered by physical layer signaling includes that the first channel information reporting is aperiodic reporting triggered by physical layer signaling.

[0433] As an embodiment, the first channel information reporting being triggered by physical layer signaling includes that the first channel information reporting is initial semi-persistent reporting triggered by physical layer signaling.

[0434] As an embodiment, the physical layer signaling triggering the first channel information reporting carries control information.

[0435] As an embodiment, the physical layer signaling triggering the first channel information reporting is signaling transmitted on a physical layer channel.

[0436] As an embodiment, the physical layer signaling triggering the first channel information reporting is control signaling transmitted on a physical layer channel.

[0437] As an embodiment, the physical layer signaling triggering the first channel information reporting is control information transmitted on a physical layer channel.

[0438] As an embodiment, the physical layer signaling triggering the first channel information reporting is DCI (downlink control information).

[0439] As an embodiment, the physical layer signaling triggering the first channel information reporting is transmitted on a physical layer control channel.

[0440] As an embodiment, the physical layer signaling triggering the first channel information reporting is DCI transmitted on a PDCCH (Physical Downlink Control Channel).

[0441] As an embodiment, the physical layer signaling triggering the first channel information reporting comprises a first field, the first field comprising at least one bit; the first field in the physical layer signaling triggering the first channel information reporting triggers the first channel information reporting.

[0442] As an embodiment, the first field is a CSI request field.

[0443] As an embodiment, the first channel information reporting is triggered by physical layer signaling, a first physical layer channel carrying the physical layer signaling triggering the first channel information reporting; the first time is the starting time of the first symbol after the first physical layer channel.

[0444] As an embodiment, the first channel information reporting is triggered by physical layer signaling, a first physical layer channel carrying the physical layer signaling triggering the first channel information reporting; the first time is at least a first time interval after the first physical layer channel.

[0445] As an embodiment, the first channel information reporting is triggered by a physical layer signaling, a first physical layer channel carries the physical layer signaling triggering the first channel information reporting; the second time instant is at least a second time interval after the first physical layer channel.

[0446] As an embodiment, the first channel information reporting is triggered by a physical layer signaling, a first physical layer channel carries the physical layer signaling triggering the first channel information reporting; the second time instant is the start time instant of the first symbol after the first physical layer channel.

[0447] As an embodiment, the first channel information reporting is triggered by a physical layer signaling, a first physical layer channel carries the physical layer signaling triggering the first channel information reporting; the second time instant is at least a second time interval before the first physical layer channel.

[0448] As an embodiment, the first time interval is predefined.

[0449] As an embodiment, the first time interval is configurable.

[0450] As an embodiment, the first time interval is indicated by the second node.

[0451] As an embodiment, one parameter in the calculation formula of the first time interval is indicated by the first node.

[0452] As an embodiment, one parameter in the calculation formula of the first time interval is indicated by the second node.

[0453] In embodiment 6C, the first time instant is equal to the second time instant regardless of the reporting type of the first channel information reporting; or the first time instant is later than the second time instant regardless of the reporting type of the first channel information reporting.

[0454] In the above method, whether the first time instant is equal to the second time instant or later than the second time instant is irrelevant to the reporting type of the first channel information reporting.

[0455] As an embodiment, the above method has the advantages including: simplifying the design, reducing the implementation complexity.

[0456] Embodiments 7A-7B

[0457] Embodiments 7A-7B respectively illustrate the schematic diagrams of the first time instant and the second time instant according to another embodiment of the present application; as shown in FIGS. 7A-7B respectively.

[0458] In Embodiment 7A, the first channel information reporting is triggered by physical layer signaling, the first physical layer channel carries the physical layer signaling triggering the first channel information reporting; the first time instant is at least a first time interval after the first physical layer channel; the second time instant is a starting time instant of a first symbol after the first physical layer channel, or the second time instant is at least a second time interval after the first physical layer channel. In FIG. 7A(a), the second time instant is a starting time instant of a first symbol after the first physical layer channel; in FIG. 7A(b), the second time instant is at least a second time interval after the first physical layer channel.

[0459] Typically, the first symbol refers to the earliest symbol.

[0460] As an embodiment, the first information block indicates the second time interval.

[0461] As an embodiment, the second time interval is predefined.

[0462] As an embodiment, the second time interval is configurable.

[0463] As an embodiment, the second time interval is indicated by the second node.

[0464] As an embodiment, a parameter in the calculation formula of the second time interval is indicated by the first node.

[0465] As an embodiment, a parameter in the calculation formula of the second time interval is indicated by the second node.

[0466] As an embodiment, a parameter in the calculation formula of the second time interval is a capability parameter of the first node.

[0467] As an embodiment, the second time interval is indicated by a capability parameter of the first node.

[0468] As an embodiment, the second time interval is indicated by the second information block in the present application.

[0469] As an embodiment, a parameter in the calculation formula of the second time interval is indicated by the second information block in the present application.

[0470] As an embodiment, the first time instant is a starting time instant of a first symbol at least a first time interval after the first physical layer channel.

[0471] As an embodiment, the first time instant is a time instant at least a first time interval after a termination time instant of the first physical layer channel.

[0472] As one embodiment, the first time instant is a start time instant of a first symbol after a first time interval from a termination time instant of the first physical layer channel.

[0473] As one embodiment, a time interval between the first time instant and a termination time instant of the first physical layer channel is not less than the first time interval.

[0474] As one embodiment, a time interval between the first time instant and a termination time instant of the first physical layer channel is not less than the first time interval, and a calculation formula of the time interval between the first time instant and the termination time instant of the first physical layer channel is a function of at least the first time interval.

[0475] As one embodiment, a time interval between the first time instant and a termination time instant of the first physical layer channel is not less than the first time interval, and the time interval between the first time instant and the termination time instant of the first physical layer channel and the first time interval are in a linear relationship.

[0476] As one embodiment, a time interval between the first time instant and a termination time instant of the first physical layer channel is not less than the first time interval, and the time interval between the first time instant and the termination time instant of the first physical layer channel and the first time interval are in a non-linear relationship.

[0477] As one embodiment, the second time instant is a start time instant of a first symbol after a second time interval from the first physical layer channel.

[0478] As one embodiment, the second time instant is a time instant after a second time interval from a termination time instant of the first physical layer channel.

[0479] As one embodiment, the second time instant is a start time instant of a first symbol after a second time interval from a termination time instant of the first physical layer channel.

[0480] As one embodiment, a time interval between the second time instant and a termination time instant of the first physical layer channel is not less than the second time interval.

[0481] As one embodiment, a time interval between the second time instant and a termination time instant of the first physical layer channel is not less than the second time interval, and a calculation formula of the time interval between the second time instant and the termination time instant of the first physical layer channel is a function of at least the second time interval.

[0482] As an embodiment, the time interval between the second time instant and the termination time instant of the first physical layer channel is not less than the second time interval, and the time interval between the second time instant and the termination time instant of the first physical layer channel and the second time interval are in a linear relationship.

[0483] As an embodiment, the time interval between the second time instant and the termination time instant of the first physical layer channel is not less than the second time interval, and the time interval between the second time instant and the termination time instant of the first physical layer channel and the second time interval are in a non-linear relationship.

[0484] In embodiment 7B, the first channel information reporting is triggered by physical layer signaling, and a first physical layer channel carries the physical layer signaling triggering the first channel information reporting; the first time instant is a starting time instant of a first symbol after the first physical layer channel, and the second time instant is at least a first time interval before the first physical layer channel.

[0485] Typically, the first symbol refers to the earliest symbol.

[0486] As an embodiment, the second time instant is a starting time instant of a nearest symbol at least a first time interval before the first physical layer channel.

[0487] As an embodiment, the second time instant is a time instant at least a first time interval before a starting time instant of the first physical layer channel.

[0488] As an embodiment, the second time instant is a starting time instant of a nearest symbol at least a first time interval before a starting time instant of the first physical layer channel.

[0489] As an embodiment, a time interval between the second time instant and a starting time instant of the first physical layer channel is not less than the first time interval.

[0490] As an embodiment, a time interval between the second time instant and a starting time instant of the first physical layer channel is not less than the first time interval, and a calculation formula of the time interval between the second time instant and the starting time instant of the first physical layer channel is a function of at least the first time interval.

[0491] As an embodiment, a time interval between the second time instant and a starting time instant of the first physical layer channel is not less than the first time interval, and the time interval between the second time instant and the starting time instant of the first physical layer channel and the first time interval are in a linear relationship.

[0492] As an embodiment, the time interval between the second time instant and the starting time instant of the first physical layer channel is not less than the first time interval, and the time interval between the second time instant and the starting time instant of the first physical layer channel and the first time interval are in a non-linear relationship.

[0493] Embodiments 8A-8B

[0494] Embodiments 8A-8B respectively illustrate a schematic diagram of a third time instant and a fourth time instant according to an embodiment of the present application; as shown in FIGS. 8A-8B respectively.

[0495] In embodiment 8A, whether the third time instant is earlier than the fourth time instant or equal to the fourth time instant depends on a reporting type of the first channel information reporting, and the reporting type of the first channel information reporting is one of periodic reporting, aperiodic reporting, semi-persistent reporting, or event-triggered reporting.

[0496] As an embodiment, when the reporting type of the first channel information reporting is a third reporting type, the third time instant is equal to the fourth time instant; when the reporting type of the first channel information reporting is a fourth reporting type, the third time instant is earlier than the fourth time instant; the third reporting type and the fourth reporting type are two different reporting types among the periodic reporting, the aperiodic reporting, the semi-persistent reporting, or the event-triggered reporting.

[0497] As an embodiment, when the first channel information reporting is periodic reporting, the third time instant is equal to the fourth time instant.

[0498] As an embodiment, when the first channel information reporting is aperiodic reporting, the third time instant is equal to the fourth time instant.

[0499] As an embodiment, when the first channel information reporting is semi-persistent reporting, the third time instant is earlier than the fourth time instant.

[0500] As an embodiment, when the first channel information reporting is semi-persistent reporting, the third time instant is equal to the fourth time instant.

[0501] As an embodiment, when the first channel information reporting is event-triggered reporting, the third time instant is earlier than the fourth time instant.

[0502] As an embodiment, the above method has the advantage of: different schemes are adopted for different reporting types, optimizing the design.

[0503] As an embodiment, the above method has the advantage of: better adaptation to various different channel information reporting, with good flexibility and adaptability.

[0504] As an embodiment, the above method has the advantages of better adaptation to various processing capabilities, better adaptation to various application scenarios or terminals, and good flexibility and adaptability.

[0505] As an embodiment, the above method has the advantages of better adaptation to various application scenarios or terminals, and good flexibility and adaptability.

[0506] In embodiment 8B, when the second condition is met, the third time point is earlier than the fourth time point; the second condition includes at least one of that the first channel information reporting is semi-persistent reporting or that the first channel information reporting is triggered by physical layer signaling.

[0507] As an embodiment, only when the second condition is met, the third time point is earlier than the fourth time point; the second condition includes at least one of that the first channel information reporting is semi-persistent reporting or that the first channel information reporting is triggered by physical layer signaling.

[0508] As an embodiment, the second condition includes that the first channel information reporting is semi-persistent reporting.

[0509] As an embodiment, the second condition includes that the first channel information reporting is triggered by physical layer signaling.

[0510] As an embodiment, the second condition includes that the first channel information reporting is semi-persistent reporting and that the first channel information reporting is triggered by physical layer signaling.

[0511] As an embodiment, the second condition includes that the first channel information reporting is the first semi-persistent reporting triggered by physical layer signaling.

[0512] As an embodiment, that the first channel information reporting is triggered by physical layer signaling includes that the first channel information reporting is aperiodic reporting or the first semi-persistent reporting triggered by physical layer signaling.

[0513] As an embodiment, that the first channel information reporting is triggered by physical layer signaling includes that the first channel information reporting is aperiodic reporting triggered by physical layer signaling.

[0514] As an embodiment, that the first channel information reporting is triggered by physical layer signaling includes that the first channel information reporting is the first semi-persistent reporting triggered by physical layer signaling.

[0515] As an embodiment, the fourth time instant is determined by the first node itself, or implementing a related determination.

[0516] As an embodiment, the third time instant is a termination time instant of a last symbol of a physical layer channel carrying the first channel information reporting; the fourth time instant is later than the termination time instant of the last symbol of the physical layer channel carrying the first channel information reporting.

[0517] As an embodiment, the third time instant is a termination time instant of a last symbol of a physical layer channel carrying the first channel information reporting; the fourth time instant is dependent on an indication of a transmitter of the first information block.

[0518] As an embodiment, the first channel information reporting is a semi-persistent reporting, the third time instant is a termination time instant of a last symbol of a physical layer channel carrying the first channel information reporting; the fourth time instant is dependent on a physical layer signaling indicating a release of the semi-persistent reporting.

[0519] As an embodiment, the fourth time instant being dependent on the physical layer signaling indicating the release of the semi-persistent reporting comprises that the physical layer signaling indicating the release of the semi-persistent reporting is used to indicate the fourth time instant.

[0520] As an embodiment, the fourth time instant being dependent on the physical layer signaling indicating the release of the semi-persistent reporting comprises that the physical layer signaling indicating the release of the semi-persistent reporting implicitly indicates the fourth time instant.

[0521] As an embodiment, the fourth time instant being dependent on the physical layer signaling indicating the release of the semi-persistent reporting comprises that the physical layer signaling indicating the release of the semi-persistent reporting indirectly indicates the fourth time instant.

[0522] As an embodiment, the fourth time instant being dependent on the physical layer signaling indicating the release of the semi-persistent reporting comprises that a given signaling is the physical layer signaling indicating the release of the semi-persistent reporting, and the fourth time instant is later than a physical layer channel carrying the given signaling.

[0523] As an embodiment, the fourth time instant being dependent on the physical layer signaling indicating the release of the semi-persistent reporting comprises that a given signaling is the physical layer signaling indicating the release of the semi-persistent reporting, and the fourth time instant is at least a fourth time interval after a physical layer channel carrying the given signaling.

[0524] As one embodiment, the fourth time instant depends on the physical layer signaling indicating the release of the semi-persistent reporting comprises: a given signaling is the physical layer signaling indicating the release of the semi-persistent reporting, the first node transmits a HARQ-ACK for the given signaling, and the fourth time instant is the starting time instant of the first symbol after a physical layer channel carrying the HARQ-ACK for the given signaling.

[0525] As one embodiment, the fourth time instant depends on the physical layer signaling indicating the release of the semi-persistent reporting comprises: a given signaling is the physical layer signaling indicating the release of the semi-persistent reporting, the first node transmits a HARQ-ACK for the given signaling, and the fourth time instant is the starting time instant of the first symbol after a physical layer channel carrying the HARQ-ACK for the given signaling.

[0526] As one embodiment, the fourth time instant depends on the physical layer signaling indicating the release of the semi-persistent reporting comprises: a given signaling is the physical layer signaling indicating the release of the semi-persistent reporting, the first node transmits a HARQ-ACK for the given signaling, and the fourth time instant is the starting time instant of the first symbol after a physical layer channel carrying the HARQ-ACK for the given signaling.

[0527] Embodiments 9A-9B

[0528] Embodiments 9A-9B respectively illustrate a schematic diagram of a third time instant and a fourth time instant according to another embodiment of the present application; as shown in Figs. 9A-9B respectively.

[0529] In Embodiment 9A, the first node in the present application receives a second signaling; wherein the third time instant is earlier than the fourth time instant, and the fourth time instant depends on the second signaling.

[0530] As one embodiment, the first node comprises: receiving a second signaling; wherein the third time instant is the ending time instant of a last symbol of a physical layer channel carrying the first channel information reporting, and the fourth time instant depends on the second signaling.

[0531] As one embodiment, the second node comprises: transmitting a second signaling; wherein the third time instant is the ending time instant of a last symbol of a physical layer channel carrying the first channel information reporting, and the fourth time instant depends on the second signaling.

[0532] As one embodiment, the first receiver receives second signaling; wherein the third time instant is a termination time instant of a last symbol of a physical layer channel carrying the first channel information reporting, and the fourth time instant depends on the second signaling.

[0533] As one embodiment, the second transmitter transmits second signaling; wherein the third time instant is a termination time instant of a last symbol of a physical layer channel carrying the first channel information reporting, and the fourth time instant depends on the second signaling.

[0534] As one embodiment, the first node comprises: receiving second signaling; wherein the first channel information reporting is semi-persistent reporting, the second signaling indicates a release of the semi-persistent reporting, and the fourth time instant depends on the second signaling.

[0535] As one embodiment, the second node comprises: transmitting second signaling; wherein the first channel information reporting is semi-persistent reporting, the second signaling indicates a release of the semi-persistent reporting, and the fourth time instant depends on the second signaling.

[0536] As one embodiment, the first processor receives second signaling; wherein the first channel information reporting is semi-persistent reporting, the second signaling indicates a release of the semi-persistent reporting, and the fourth time instant depends on the second signaling.

[0537] As one embodiment, the second processor transmits second signaling; wherein the first channel information reporting is semi-persistent reporting, the second signaling indicates a release of the semi-persistent reporting, and the fourth time instant depends on the second signaling.

[0538] As one embodiment, the second signaling is physical layer signaling.

[0539] As one embodiment, the second signaling is physical layer control signaling.

[0540] As one embodiment, the second signaling is DCI.

[0541] As one embodiment, the second signaling comprises a MAC CE.

[0542] As one embodiment, the fourth time instant depending on the second signaling comprises: the second signaling is used to indicate the fourth time instant.

[0543] As one embodiment, the fourth time instant depending on the second signaling comprises: the second signaling implicitly indicates the fourth time instant.

[0544] As an embodiment, the fourth time instant depends on the second signaling comprises: the second signaling indirectly indicates the fourth time instant.

[0545] As an embodiment, the fourth time instant depends on the second signaling comprises: the fourth time instant is later than a physical layer channel carrying the second signaling.

[0546] As an embodiment, the fourth time instant depends on the second signaling comprises: the fourth time instant is at least a fourth time interval after a physical layer channel carrying the second signaling.

[0547] As an embodiment, the fourth time instant depends on the second signaling comprises: the first node transmits a HARQ-ACK for the second signaling, and the fourth time instant is after a physical layer channel carrying the HARQ-ACK for the second signaling.

[0548] As an embodiment, the fourth time instant depends on the second signaling comprises: the first node transmits a HARQ-ACK for the second signaling, and the fourth time instant is a starting time instant of a first symbol after a physical layer channel carrying the HARQ-ACK for the second signaling.

[0549] As an embodiment, the fourth time instant depends on the second signaling comprises: the first node transmits a HARQ-ACK for the second signaling, and the fourth time instant is a starting time instant of a first slot after a physical layer channel carrying the HARQ-ACK for the second signaling.

[0550] As an embodiment, the second signaling indicates a release of a semi-persistent reporting, and the HARQ-ACK for the second signaling refers to a HARQ-ACK corresponding to the release of the semi-persistent reporting.

[0551] As an embodiment, the second signaling schedules a physical layer channel, and the HARQ-ACK for the second signaling refers to a HARQ-ACK corresponding to the physical layer channel scheduled by the second signaling.

[0552] As an embodiment, the second signaling indicates a release of a semi-persistent reporting, and the HARQ-ACK for the second signaling comprises a HARQ-ACK indicating that the second signaling is correctly received.

[0553] As an embodiment, the second signaling schedules a physical layer channel, and the HARQ-ACK for the second signaling refers to a HARQ-ACK corresponding to the physical layer channel scheduled by the second signaling.

[0554] As an embodiment, the second signaling is later than the third time point.

[0555] As an embodiment, the second signaling is earlier than the third time point.

[0556] As an embodiment, the second signaling and the third time point are determined by the second node or related to the implementation.

[0557] As an embodiment, the above method has the advantage that the determination of the fourth time point depends on the indication of the second node in the present application, which has better flexibility and is conducive to better control or adjustment of the occupation of the second type of resources by the second node.

[0558] In embodiment 9B, no matter what type of reporting the first channel information reporting is, the third time point is equal to the fourth time point; or no matter what type of reporting the first channel information reporting is, the third time point is earlier than the fourth time point.

[0559] In the above method, whether the third time point is earlier than the fourth time point or equal to the fourth time point is irrelevant to the type of reporting of the first channel information reporting.

[0560] As an embodiment, no matter what type of reporting the first channel information reporting is, the third time point is equal to the fourth time point.

[0561] As an embodiment, no matter what type of reporting the first channel information reporting is, the third time point is earlier than the fourth time point.

[0562] As an embodiment, the above method has the advantage of simplifying the design and reducing the implementation complexity.

[0563] Embodiments 10A-10C

[0564] Embodiments 10A-10C respectively illustrate a schematic diagram of a first time interval according to an embodiment of the present application; as shown in Figs. 10A-10C respectively.

[0565] In embodiment 10A, the first node in the present application sends a second information block, and the second information block indicates the first time interval.

[0566] As an embodiment, the second node receives a second information block, and the second information block indicates the first time interval.

[0567] As an embodiment, the sending of the first information block in the present application is later than the receiving of the second information block, and the receiving of the first information block in the present application is later than the sending of the second information block.

[0568] As one embodiment, the transmission of the first information block is later than the transmission of the second information block.

[0569] As one embodiment, the sending of the second information block is later than the receiving of the first information block, and the receiving of the second information block is later than the sending of the first information block.

[0570] As one embodiment, the transmission of the second information block is later than the transmission of the first information block.

[0571] As one embodiment, the second information block indicates a first time interval for inference.

[0572] As one embodiment, the second information block indicates a first time interval applicable to channel information reporting generated based on inference.

[0573] As one embodiment, the second information block indicates a first time interval for the first identifier in the present application.

[0574] As one embodiment, the second information block further indicates the first identifier in the present application.

[0575] As one embodiment, information other than the second information block indicates the first identifier in the present application.

[0576] As one embodiment, the second information block is carried by higher layer signaling.

[0577] As one embodiment, the second information block includes one or more fields in one or more IEs (information elements).

[0578] As one embodiment, the second information block includes a MAC CE.

[0579] As one embodiment, the second information block includes control information.

[0580] As one embodiment, the second information block includes UCI (uplink control information).

[0581] As one embodiment, the second information block is carried by physical layer signaling.

[0582] As one embodiment, the second information block is carried by physical layer uplink signaling.

[0583] As one embodiment, the second information block is transmitted on a physical layer channel.

[0584] As one embodiment, the second information block is transmitted on a physical layer uplink channel.

[0585] As one embodiment, the second information block is transmitted on a PUCCH (Physical Uplink Control Channel).

[0586] As one embodiment, the second information block is transmitted on a PUSCH (Physical Uplink Shared Channel).

[0587] As one embodiment, the second information block belongs to capability information of the first node.

[0588] As one embodiment, the second information block comprises capability information of the first node.

[0589] As one embodiment, the second information block comprises one or more capability parameters of the first node.

[0590] As one embodiment, the second information block comprises one or more fields in a UE (User Equipment) capability IE (Information Element).

[0591] As one embodiment, the second information block comprises one or more fields in one or more UE (User Equipment) capability IEs (Information Elements).

[0592] As one embodiment, the second information block comprises one or more parameters in one or more UE (User Equipment) capability IEs.

[0593] As one embodiment, the first node transmits capability information of the first node after receiving a UECapabilityEnquiry from a network, and the second information block belongs to the capability information of the first node.

[0594] As one embodiment, the capability information of the first node comprises a UECapabilityInformation.

[0595] As one embodiment, the capability information of the first node comprises a radio access capability of the first node.

[0596] As one embodiment, the second information block explicitly indicates a first time interval.

[0597] As one embodiment, the second information block implicitly indicates the first time interval.

[0598] As one embodiment, the first time interval depends on information indicated by the second information block.

[0599] As one embodiment, the second information block indicates a first parameter, and the first time interval depends on a value of the first parameter.

[0600] As one embodiment, the value of the first parameter is an integer.

[0601] As one embodiment, the value of the first parameter is a real number.

[0602] As one embodiment, the value of the first parameter is a character or a string.

[0603] As one embodiment, the first time interval and the first parameter are in a linear relationship.

[0604] As one embodiment, the first time interval and the first parameter are in a non-linear relationship.

[0605] As one embodiment, the first time interval and the value of the first parameter are in a mapping relationship.

[0606] As one embodiment, a calculation formula of the first time interval depends on the first parameter.

[0607] As one embodiment, the calculation formula of the first time interval is a function of at least the first parameter.

[0608] As one embodiment, the first time interval and the first parameter are in a linear relationship.

[0609] As one embodiment, the first time interval and the first parameter are in a non-linear relationship.

[0610] As one embodiment, when the value of the first parameter is a first candidate value, the first time interval is a first candidate time interval; and when the value of the first parameter is a second candidate value, the first time interval is a second candidate time interval.

[0611] As one embodiment, the first time interval is a non-negative real number.

[0612] As one embodiment, the first time interval is a positive real number.

[0613] As one embodiment, the first time interval is a non-negative integer.

[0614] As an embodiment, the first time interval is a positive integer.

[0615] As an embodiment, the unit of the first time interval is millisecond (ms).

[0616] As an embodiment, the unit of the first time interval is symbol.

[0617] As an embodiment, the first time interval belongs to the capability information of the first node.

[0618] In embodiment 10B, N time intervals correspond to N identifiers respectively, N is a positive integer greater than 1; the first channel information report is generated corresponding to a first identifier, the first identifier is one of the N identifiers, and the first time interval is one of the N time intervals corresponding to the first identifier. In FIG. 10A, identifier #1, …, identifier #n, …, identifier #N are the N identifiers respectively; time interval #1, …, time interval #n, …, time interval #N are the N time intervals respectively.

[0619] As an embodiment, N time intervals correspond to N identifiers respectively, N is a positive integer greater than 1; the first channel information report is generated corresponding to a first identifier, the first identifier is any one of the N identifiers, and the first time interval is one of the N time intervals corresponding to the first identifier.

[0620] As an embodiment, any one of the N identifiers is a non-negative integer.

[0621] As an embodiment, any one of the N identifiers includes one or more characters.

[0622] As an embodiment, any one of the N identifiers is used to identify a resource group, and the resource group includes one or more first-class resources.

[0623] As an embodiment, any one of the N identifiers is used to identify a resource group, and the resource group includes one or more first-class resources and one or more second-class resources.

[0624] As an embodiment, any one of the N identifiers is different from the reporting configuration identifier of the first channel information report.

[0625] As an embodiment, any one of the N identifiers is used to identify an AI model.

[0626] As an embodiment, any one of the N identifiers is used to identify inference for generating channel information report.

[0627] As an embodiment, any of the N identifiers is used to identify an AI entity.

[0628] As an embodiment, any of the N identifiers is used to identify an AI function.

[0629] As an embodiment, the above method has the benefit of simplifying the design and unifying the understanding of different AI entities or functions among multiple nodes by identifying N AI models / entities / functions respectively with the N identifiers.

[0630] As an embodiment, any of the N identifiers is used to identify or indicate a resource set.

[0631] As an embodiment, any of the N identifiers is used to identify or indicate a resource set, and a measurement on the resource set is used to obtain a training data set.

[0632] As an embodiment, any of the N identifiers is used to identify or indicate a resource set, and the resource set identified or indicated by any of the N identifiers includes one or more RS resources.

[0633] As an embodiment, any of the N identifiers is used to identify or indicate a training data set.

[0634] As an embodiment, the above method has the benefit of establishing a consensus among different AI functions by identifying an AI training or an AI training data set to recognize the inference generated by the AI training or the AI training data set, and further simplifying the design.

[0635] As an embodiment, the first node in the present application sends a second information block; wherein the second information block indicates the N time intervals.

[0636] As an embodiment, the first node in the present application sends a second information block; wherein the second information block indicates the N time intervals and the N identifiers.

[0637] As an embodiment, the first node in the present application sends a second information block; wherein the second information block indicates only the first time interval in the N time intervals.

[0638] As an embodiment, the first node in the present application sends a second information block; wherein the second information block includes N information sub-blocks, and the N information sub-blocks respectively indicate the N time intervals.

[0639] As an embodiment, the first node in the present application sends a second information block; wherein the second information block includes N information sub-blocks, the N information sub-blocks respectively indicate the N time intervals, and the N information sub-blocks also respectively indicate the N identifiers.

[0640] As an embodiment, the N identifiers are respectively used to identify N AI models, and the N time intervals are respectively loading times required by the N AI models.

[0641] As an embodiment, the N identifiers are respectively used to identify N AI models, and the N time intervals are respectively no less than loading times required by the N AI models.

[0642] As an embodiment, the N identifiers are respectively used to identify N AI models, and starting time points at which the N AI models are respectively started to be applied depend on the N time intervals.

[0643] As an embodiment, starting time points at which N channel information reports respectively occupy first-type resources depend on the N time intervals.

[0644] As an embodiment, starting time points at which N channel information reports respectively occupy second-type resources depend on the N time intervals.

[0645] As an embodiment, a given identifier is any identifier in the N identifiers, and a given time interval is a time interval in the N time intervals corresponding to the given identifier; a starting time point at which channel information corresponding to the given identifier occupies first-type resources depends on the given time interval.

[0646] Without loss of generality, in the above method, a specific implementation in which a starting time point at which channel information corresponding to the given identifier occupies first-type resources depends on the given time interval is similar to the specific implementation in which the first time point depends on the first time interval.

[0647] As an embodiment, a given identifier is any identifier in the N identifiers, and a given time interval is a time interval in the N time intervals corresponding to the given identifier; a starting time point at which channel information corresponding to the given identifier occupies second-type resources depends on the given time interval.

[0648] Without loss of generality, in the above method, a specific implementation in which a starting time point at which channel information corresponding to the given identifier occupies second-type resources depends on the given time interval is similar to the specific implementation in which the second time point depends on the first time interval.

[0649] In Embodiment 10C, the first time interval depends on a reporting quantity included in the first channel information reporting.

[0650] As one embodiment, the calculation formula of the first time interval depends on a reporting quantity included in the first channel information reporting.

[0651] As one embodiment, a parameter in the calculation formula of the first time interval depends on a reporting quantity included in the first channel information reporting.

[0652] As one embodiment, the first time interval is greater than a first value only when the reporting quantity included in the first channel information reporting consists of at least one reporting quantity from a reference reporting quantity subset; the reference reporting quantity subset includes one or more reporting quantities.

[0653] As one sub-embodiment of the above embodiment, the first value is 0.

[0654] As one sub-embodiment of the above embodiment, the first value is a positive integer.

[0655] As one sub-embodiment of the above embodiment, the first value is a positive real number.

[0656] As one sub-embodiment of the above embodiment, the first time interval is less than or equal to the first value when the first channel information reporting includes a reporting quantity not belonging to the reference reporting quantity subset.

[0657] As one sub-embodiment of the above embodiment, the reference reporting quantity subset includes only part of the reporting quantities among all candidate reporting quantities.

[0658] As one embodiment, the first time interval is equal to or greater than a first value only when the reporting quantity included in the first channel information reporting consists of at least one reporting quantity from a reference reporting quantity subset; the reference reporting quantity subset includes one or more reporting quantities.

[0659] As one sub-embodiment of the above embodiment, the first value is a positive integer.

[0660] As one sub-embodiment of the above embodiment, the first value is a positive real number.

[0661] As one sub-embodiment of the above embodiment, the first time interval is less than the first value when the first channel information reporting includes a reporting quantity not belonging to the reference reporting quantity subset.

[0662] As one sub-embodiment of the above embodiment, the reference reporting quantity subset includes only part of the reporting quantities among all candidate reporting quantities.

[0663] As one embodiment, the reference subset of reporting quantities comprises at least one of compressed CSI, channel matrix, eigenvalues or eigenvectors of the channel, or channel information generated based on artificial intelligence or machine learning.

[0664] As one embodiment, the compressed CSI is non-codebook-based channel information.

[0665] As one embodiment, the compressed CSI is neither a reporting quantity defined in 3GPP Rel-18 nor a reporting quantity defined in a version before 3GPP Rel-18.

[0666] As one embodiment, the target receiver of the compressed CSI is unaware of channel parameters recovered by the compressed CSI for the sender of the compressed CSI.

[0667] As one embodiment, the compressed CSI is channel information based on artificial intelligence or machine learning.

[0668] As one embodiment, the compressed CSI is channel information based on neural network.

[0669] As one embodiment, the compressed CSI is channel information based on CNN (Conventional Neural Networks).

[0670] As one embodiment, when the reporting quantities included in the first channel information reporting consist of at least one reporting quantity from a first subset of reporting quantities, the first time interval is a first reference time interval; when the reporting quantities included in the first channel information reporting consist of at least one reporting quantity from a second subset of reporting quantities, the first time interval is a second reference time interval; the first subset of reporting quantities comprises at least one reporting quantity, the second subset of reporting quantities comprises at least one reporting quantity, and at least one reporting quantity in the first subset of reporting quantities is not in the second subset of reporting quantities.

[0671] As one sub-embodiment of the above embodiment, the calculation formula of the first reference time interval and the calculation formula of the second reference time interval are different.

[0672] As one sub-embodiment of the above embodiment, the first reference time interval and the second reference time interval are different.

[0673] As one sub-embodiment of the above embodiment, the first reference time interval is less than the second reference time interval.

[0674] As one sub-example of the above embodiment, the first reference time interval is 0, and the second reference time interval is a positive integer.

[0675] As one sub-example of the above embodiment, the first reference time interval is a positive integer, and the second reference time interval is a positive integer.

[0676] As one sub-example of the above embodiment, the first reference time interval is 0, and the second reference time interval is a positive real number.

[0677] As one sub-example of the above embodiment, the first reference time interval is a positive real number, and the second reference time interval is a positive real number.

[0678] As one embodiment, the first subset of reported quantities comprises at least one of a PMI (Precoding Matrix Indicator), a CRI (CSI-RS Resource Indicator), a CQI (Channel Quality Indicator), a RI (Rank Indicator), a LI (Layer Indicator), an SSBRI (SS / PBCH Block Resource indicator), an RSRP, an SINR (signal-to-noise and interference ratio), a capability index, and TDCP (Time domain channel properties).

[0679] As one embodiment, the first subset of reported quantities comprises a resource indication, which is used to indicate a beam or a RS (reference signal) resource.

[0680] As one embodiment, the first subset of reported quantities comprises at least one of a resource indication, which is used to indicate a beam or a RS (reference signal) resource, and an RSRP (reference signal received power).

[0681] As one embodiment, the first subset of reported quantities comprises at least one of a resource indication, which is used to indicate a beam or a RS (reference signal) resource, and an RSRP (reference signal received power).

[0682] As an embodiment, the second reporting quantum includes at least one of compressed CSI, a channel matrix, eigenvalues or eigenvectors of a channel, or channel information generated based on artificial intelligence or machine learning.

[0683] Embodiments 11A-11C

[0684] Embodiments 11A-11C respectively illustrate a schematic diagram of a first channel information reporting generating a first identity according to an embodiment of the present application; as shown in FIGS. 11A-11C.

[0685] In embodiment 11A, the first channel information reporting generating the first identity includes that a first information block is used to configure the first channel information reporting, the first information block indicating the first identity.

[0686] In the above method, the first channel information reporting is generated corresponding to the first identity indicated by the first information block.

[0687] As an embodiment, the above method has the benefit of simplifying the design, which can flexibly configure the first identity corresponding to the first channel information reporting.

[0688] In embodiment 11B, the first channel information reporting generating the first identity includes that the first node performs a first operation, the first channel information reporting depends on an output of the first operation, and the first operation corresponds to the first identity.

[0689] As an embodiment, the first channel information reporting generating the first identity includes that the first node performs a first operation, the first operation includes inference, the first channel information reporting depends on an output of the first operation, and the first operation corresponds to the first identity.

[0690] As an embodiment, the first operation is based on training or AI.

[0691] As an embodiment, the first operation includes inference.

[0692] As an embodiment, the first operation includes an AI entity.

[0693] As an embodiment, the first operation includes an AI entity for inference.

[0694] As an embodiment, the first operation includes a part of an AI entity.

[0695] As one embodiment, the first operation comprises a part of an AI entity for inference.

[0696] As one embodiment, the first operation comprises inference for obtaining the first channel information reporting.

[0697] As one embodiment, the inference comprises AI (Artificial Intelligence) inference.

[0698] As one embodiment, the first operation comprises AI inference for obtaining CSI.

[0699] As one embodiment, the first operation comprises AI inference for obtaining channel information.

[0700] As one embodiment, the first operation comprises AI inference for obtaining information other than channel information.

[0701] As one embodiment, the first operation is used for AI function.

[0702] As one embodiment, the first operation is performed by a physical layer of the first node.

[0703] As one embodiment, the first operation is performed by a higher layer of the first node.

[0704] As one embodiment, a model of the first operation is obtained by training.

[0705] As one embodiment, the training of the first operation is performed by the first node.

[0706] As one embodiment, the training of the first operation is performed by a target receiver of the first channel information reporting.

[0707] As one embodiment, the training of the first operation is performed by a core network.

[0708] As one embodiment, the training of the first operation is performed by an AI training producer.

[0709] As one embodiment, the training of the first operation is performed by an MDA function (Management Data Analytics Function).

[0710] As one embodiment, the training of the first operation is performed by an MDA function located at the first node.

[0711] As one embodiment, the training of the first operation is performed by an MDA function located at a target receiver of the first channel information reporting.

[0712] As one embodiment, the training of the first operation is performed by a NWDAF (Network Data Analytics Function).

[0713] As one embodiment, the training of the first operation is performed by an MDAS (Management Data Analytics Service) producer.

[0714] As one embodiment, the training of the first operation is performed by an MnS (Management Service) producer.

[0715] As one embodiment, the first operation is deployment required.

[0716] As one embodiment, the first operation is obtained by load.

[0717] As one embodiment, the first operation is obtained by load from a serving cell of the first node.

[0718] As one embodiment, the first operation is obtained by load from a maintaining base station of a serving cell of the first node.

[0719] As one embodiment, the first node deploys the first operation.

[0720] As one embodiment, the first operation is deployment free.

[0721] As one embodiment, the first operation is obtained by load from a core network.

[0722] As one embodiment, the first operation is based on artificial intelligence or machine learning.

[0723] As one embodiment, the first operation is based on a neural network.

[0724] As one embodiment, the first operation is based on a CNN (Conventional Neural Networks).

[0725] As one embodiment, the first operation includes pre-processing.

[0726] As one embodiment, the first operation includes post-processing.

[0727] As one embodiment, the post-processing includes DFT.

[0728] As one embodiment, the post-processing includes quantization.

[0729] As one embodiment, the post-processing includes one or more of angle domain to spatial domain transformation, spatial domain to angle domain transformation, time domain to frequency domain transformation and frequency domain to time domain transformation.

[0730] As one embodiment, the post-processing includes truncation and / or padding.

[0731] As one embodiment, the first operation includes one or more of convolution, pooling, concatenation and activation.

[0732] As one embodiment, the first operation includes one fully connected layer.

[0733] As one embodiment, the first operation includes one pooling layer.

[0734] As one embodiment, the first operation includes at least one convolution layer.

[0735] As one embodiment, the first operation includes at least one encoding layer.

[0736] As one embodiment, one encoding layer includes at least one convolution layer and one pooling layer.

[0737] As one embodiment, in a convolution layer, at least one convolution kernel is used to convolve an input to generate a corresponding feature map, at least one feature map output by the convolution layer is reshaped into a vector input to a fully connected layer; the fully connected layer converts the one vector into an output.

[0738] As one embodiment, some or all of the convolution kernel size, the number of convolution layers, the convolution step, the pooling kernel size, the pooling kernel step, the pooling function, the activation function and the number of feature maps of the first operation are obtained through training.

[0739] As one embodiment, some or all of the convolution kernel, the pooling kernel, the pooling function, the activation function, the parameters of the pooling function and the parameters of the activation function of the first operation are obtained through training.

[0740] As one embodiment, the output of the first operation includes channel information.

[0741] As one embodiment, the output of the first operation includes information other than channel information.

[0742] As one embodiment, the output of the first operation comprises a channel matrix.

[0743] As one embodiment, the output of the first operation comprises CSI.

[0744] As one embodiment, the output of the first operation comprises compressed CSI.

[0745] As one embodiment, the output of the first operation comprises non-codebook based CSI.

[0746] As one embodiment, the output of the first operation comprises a channel impulse response.

[0747] As one embodiment, the output of the first operation comprises a small scale property.

[0748] As one embodiment, the output of the first operation is used to determine one or more precoding matrices.

[0749] As one embodiment, the first operation comprises artificial intelligence or machine learning based CSI compression.

[0750] As one embodiment, the first operation comprises an encoder for artificial intelligence or machine learning based CSI compression.

[0751] As one embodiment, the first operation comprises artificial intelligence or machine learning based CSI prediction or CSI estimation.

[0752] As one embodiment, the first operation comprises artificial intelligence or machine learning based beam management.

[0753] As one embodiment, the beam management comprises at least one of beam prediction, beam switching, beam failure prediction, or beam failure recovery.

[0754] As one embodiment, the input of the first operation comprises measurements obtained based on at least one RS resource.

[0755] As one embodiment, the input of the first operation comprises channel measurements obtained based on CSI-RS resources or SS / PBCH block resources.

[0756] As one embodiment, the input of the first operation comprises interference measurements obtained based on CSI-RS resources or CSI-IM resources.

[0757] As one embodiment, the input of the first operation comprises received quality of at least one physical channel or physical signal.

[0758] As one embodiment, the input of the first operation includes a matrix or a vector obtained by pre-processing a channel matrix obtained based on the measurement of the at least one RS resource.

[0759] As one embodiment, the AI function includes an AI inference function.

[0760] As one embodiment, the AI function includes an AI training function.

[0761] As one embodiment, the AI function includes an AI management function.

[0762] As one embodiment, the AI function includes AI performance monitoring.

[0763] As one embodiment, the AI includes ML (Machine Learning).

[0764] As one embodiment, the AI includes AI and ML.

[0765] As one embodiment, the AI includes AI or ML.

[0766] As one embodiment, the pre-processing includes one or more of quantization, DFT (Discrete Fourier Transform), matrix decomposition, matrix transformation or projection, spatial-to-angle domain transformation, angle-to-spatial domain transformation, frequency-to-time domain transformation, time-to-frequency domain transformation, truncation, padding, mapping, or labeling.

[0767] As one embodiment, the pre-processing includes DFT (Discrete Fourier Transform).

[0768] As one embodiment, the pre-processing includes one or more of matrix decomposition, matrix transformation or projection.

[0769] As one embodiment, the pre-processing includes one or more of quantization, spatial-to-angle domain transformation, angle-to-spatial domain transformation, frequency-to-time domain transformation, or time-to-frequency domain transformation.

[0770] As one embodiment, the pre-processing includes truncation and / or padding.

[0771] As one embodiment, the pre-processing includes mapping.

[0772] As one embodiment, the pre-processing includes mapping to a vector.

[0773] As an embodiment, the pre-processing comprises labeling.

[0774] As an embodiment, the labeling refers to marking with a label.

[0775] As an embodiment, the post-processing comprises DFT.

[0776] As an embodiment, the post-processing comprises quantization.

[0777] As an embodiment, the post-processing comprises one or more of angle domain to spatial domain transformation, spatial domain to angle domain transformation, time domain to frequency domain transformation, and frequency domain to time domain transformation.

[0778] As an embodiment, the post-processing comprises truncation and / or padding.

[0779] As an embodiment, one encoding layer comprises at least one convolution layer and one pooling layer.

[0780] As an embodiment, in the convolution layer, at least one convolution kernel is used to convolve the input to generate a corresponding feature map, at least one feature map output by the convolution layer is reshaped into a vector input to the fully connected layer; the fully connected layer converts the one vector into an output.

[0781] As an embodiment, the first operation corresponding to the first identifier comprises: the first operation is identified by the first identifier.

[0782] As an embodiment, the first operation corresponding to the first identifier comprises: an AI model used by the first operation is identified by the first identifier.

[0783] As an embodiment, the first operation corresponding to the first identifier comprises: an AI entity included in the first operation is identified by the first identifier.

[0784] As an embodiment, the first operation corresponding to the first identifier comprises: an AI function used by the first operation is identified by the first identifier.

[0785] As an embodiment, the benefits of the above method comprise: identifying an AI entity or function by the first identifier simplifies the design and unifies the understanding of different AI entities or functions among multiple nodes.

[0786] As an embodiment, the first operation corresponding to the first identifier comprises: an AI entity performing the first operation is identified by the first identifier.

[0787] As an embodiment, the first operation corresponding to the first identity includes that the first identity is used by the first node to determine an AI model employed by the first operation.

[0788] As an embodiment, the benefit of the above method includes that the design is simplified and the understanding of different AI entities / functions is unified among multiple nodes by identifying an AI model / entity / function through the first identity.

[0789] As an embodiment, the first operation corresponding to the first identity includes that the first identity is used to identify or indicate a set of RS resources, and the measurement on the set of RS resources is used to obtain a training data set of the first operation.

[0790] As an embodiment, the first operation corresponding to the first identity includes that the training of the first operation is identified by the first identity.

[0791] As an embodiment, the first operation corresponding to the first identity includes that a data set for the training of the first operation is identified by the first identity.

[0792] As an embodiment, the benefit of the above method includes that the consensus is established among different AI functions by identifying an AI training or an AI training data set to recognize the inference generated by the AI training or the AI training data set, and the design is further simplified.

[0793] As an embodiment, the first operation corresponding to the first identity includes that the first operation performs spatial beam prediction on a second resource set based on the measurement of a first resource set, and the second resource set depends on the first identity.

[0794] As an embodiment, the benefit of the above method includes that the RS overhead is reduced and the feedback delay is reduced.

[0795] As an embodiment, the first operation corresponding to the first identity includes that the first operation performs channel information prediction on a second resource set based on the measurement of a first resource set, and the second resource set depends on the first identity.

[0796] As an embodiment, the first operation corresponding to the first identity includes that the first operation performs Temporal beam prediction on a second resource set based on the historic measurement of a first resource set, and the second resource set depends on the first identity.

[0797] As an embodiment, the benefit of the above method includes that the beam feedback delay is reduced and the real-time performance of beam acquisition is improved.

[0798] As one embodiment, the first operation corresponds to the first identification comprising: the first operation making a prediction of Temporal channel information for a second set of resources based on historic measurements of a first set of resources, the second set of resources depending on the first identification.

[0799] As one embodiment, the above method has the benefit of reducing channel information feedback delay and improving real-time performance of channel information acquisition.

[0800] As one embodiment, the output of the first operation is used to generate the first channel information report.

[0801] As one embodiment, the first channel information report comprises the output of the first operation.

[0802] As one embodiment, the first channel information report comprises a post-processed output of the first operation.

[0803] As one embodiment, the first channel information report comprises a truncated and / or quantized output of the first operation.

[0804] As one embodiment, the output of the first operation is post-processed and used to generate the first channel information report.

[0805] As one embodiment, the output of the first operation is truncated and / or quantized and used to generate the first channel information report.

[0806] As one embodiment, part or all of the output of the first operation is post-processed and used to generate the first channel information report.

[0807] As one embodiment, part or all of the output of the first operation is truncated and / or quantized and used to generate the first channel information report.

[0808] As one embodiment, the output of the first operation comprises a first CSI, which is used to generate the first channel information report.

[0809] As one embodiment, the above method has the benefit of improving the performance of CSI reporting, including more accurate reporting and / or lower overhead, by exploiting the advantages of the first operation.

[0810] As one embodiment, the first channel information report comprises the first CSI.

[0811] As one embodiment, the first CSI is post-processed and used to generate the first channel information report.

[0812] As one embodiment, the first channel information report comprises the first CSI after post-processing.

[0813] As one embodiment, the first channel information report carries the first CSI after post-processing.

[0814] As one embodiment, the first CSI is used to generate the first channel information report after being truncated and / or quantized.

[0815] As one embodiment, the first channel information report comprises the first CSI after being truncated and / or quantized.

[0816] As one embodiment, the first channel information report carries the first CSI after being truncated and / or quantized.

[0817] As one embodiment, the first CSI comprises one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index, and TDCP.

[0818] As one embodiment, the first CSI comprises one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index, TDCP, predicted channel information, predicted beam information, or confidence information.

[0819] As one embodiment, the first CSI comprises a channel matrix.

[0820] As one embodiment, the first CSI comprises an eigenvector.

[0821] As one embodiment, the first CSI comprises an eigenvector and an eigenvalue.

[0822] As one embodiment, the first CSI comprises precoding information.

[0823] As one embodiment, the first CSI comprises non-codebook-based precoding information.

[0824] As one embodiment, the first CSI is used to determine at least one precoding matrix.

[0825] As one embodiment, the first CSI indicates at least one precoding matrix.

[0826] As one embodiment, the precoding matrix is spatial-frequency domain.

[0827] As an embodiment, the precoding matrix is an angular-delay domain projection.

[0828] As an embodiment, the first CSI comprises information of relative phase, amplitude and / or coefficients among multiple antenna ports.

[0829] As an embodiment, the first CSI comprises compressed CSI.

[0830] As an embodiment, the first CSI comprises predicted / estimated CSI.

[0831] As an embodiment, how to generate the first channel information report based on the first operation is determined by the manufacturer of the first node, or is implementation dependent. A typical but non-limiting implementation is described as follows:

[0832] The first node first measures on RS resources for channel measurement to obtain a channel parameter matrix H r×t , where r, t are the number of receiving antennas and the number of antenna ports respectively; at least the channel parameter matrix H r×t or its eigenvector is input into an AI model, and the output of the AI model is used to obtain the first channel information report.

[0833] If the first channel information report needs the first node to estimate interference (including noise), the first node can measure on RS resources for interference measurement to obtain measured interference.

[0834] Under an implementation, the measured interference is also input into the AI model.

[0835] Under another implementation, the measured interference is not input into the AI model, and the output of the AI model and the measured interference are jointly used to generate the first channel information report.

[0836] Without loss of generality, the AI model or the parameters of the AI model used to generate the first channel information report are determined by the manufacturer of the first node.

[0837] In embodiment 11C, the generation of the first channel information report corresponding to the first identifier comprises: the first identifier is used to identify an inference, the first channel information report is generated based on the inference identified by the first identifier, or the generation of the first channel information report uses the AI model identified by the first identifier, or the first channel information report is generated in the AI entity identified by the first identifier, or the first channel information report is used for the AI function identified by the first identifier.

[0838] As an embodiment, the generation of the first channel information report corresponds to the first identity includes that the first identity is used to identify an inference, and the first channel information report is generated based on the inference identified by the first identity.

[0839] As an embodiment, the generation of the first channel information report corresponds to the first identity includes that the first identity is used to identify an AI model, and the first channel information report is generated based on an inference using the AI model identified by the first identity.

[0840] As an embodiment, the generation of the first channel information report uses an AI model identified by the first identity.

[0841] As an embodiment, the first channel information report is generated in an AI entity identified by the first identity.

[0842] As an embodiment, the first channel information report is used for an AI function identified by the first identity.

[0843] As an embodiment, the above method has the advantages of better adaptation to various application scenarios or terminals, good flexibility and adaptability.

[0844] Embodiments 12A-12C

[0845] Embodiments 12A-12C respectively illustrate a schematic diagram of a first channel information report according to an embodiment of the present application; as shown in Figures 12A-12C respectively.

[0846] In embodiment 12A, the first channel information report is generated based on an inference.

[0847] As an embodiment, the inference includes an AI inference.

[0848] As an embodiment, the first channel information report is generated based on an inference includes that the generation of the first channel information report is based on training.

[0849] As an embodiment, the first channel information report is generated based on an inference includes that the generation of the first channel information report uses an AI model.

[0850] As an embodiment, the first channel information report is generated based on an inference includes that the generation of the first channel information report uses information generated based on artificial intelligence or machine learning.

[0851] As an embodiment, the first channel information reporting is generated based on inference comprises: the generation of the first channel information reporting uses information generated based on neural network.

[0852] As an embodiment, the first channel information reporting is generated based on inference comprises: the generation of the first channel information reporting uses information generated based on CNN (Conventional Neural Networks).

[0853] As an embodiment, the first channel information reporting is generated based on inference comprises: the first channel information reporting comprises information generated based on artificial intelligence or machine learning.

[0854] As an embodiment, the first channel information reporting is generated based on inference comprises: the first channel information reporting comprises information generated based on neural network.

[0855] As an embodiment, the first channel information reporting is generated based on inference comprises: the first channel information reporting comprises information generated based on CNN (Conventional Neural Networks).

[0856] As an embodiment, the first channel information reporting is generated based on inference comprises: a first information block is used to configure the first channel information reporting, the first information block indicates a first identity.

[0857] As an embodiment, the first channel information reporting is generated based on inference comprises: a first information block is used to configure the first channel information reporting, the first information block indicates a first resource set, the first resource set comprises one or more RS resources, the first resource set is used for at least one of channel measurement or interference measurement of the first channel information reporting; the generation of the first channel information reporting comprises that the first node performs a first operation, the first operation comprises inference, input of the first operation depends on measurement based on the first resource set, and the first channel information reporting depends on output of the first operation.

[0858] As an embodiment, the first channel information reporting is generated based on inference comprises: a first information block is used to configure the first channel information reporting, the first information block indicates a first identity, and the generation of the first channel information reporting comprises performing a first operation, the first operation comprises inference, and the first operation corresponds to the first identity indicated by the first information block.

[0859] As an embodiment, the first channel information reporting is generated based on inference, and the first channel information reporting comprises a first identifier corresponding to the generation of the first channel information reporting.

[0860] As an embodiment, the method has the advantage of better adaptation to various application scenarios or terminals, and has good flexibility and adaptability.

[0861] As an embodiment, the method has the advantage of improving the accuracy and real-time performance of channel information reporting.

[0862] In embodiment 12B, a first information block is used to configure the first channel information reporting, and the first information block indicates a first resource set comprising one or more RS resources, and the first resource set is used for at least one of channel measurement or interference measurement of the first channel information reporting; and the first channel information reporting indicates at least one resource in a second resource set. In FIG. 12B, the first resource set comprises RS resource #1, …, RS resource #J1; and the second resource set comprises resource #1, …, resource #J2; wherein J1 is a positive integer, and J2 is a positive integer.

[0863] As an embodiment, the first channel information reporting comprises resource indication used to indicate at least one resource in the second resource set.

[0864] As an embodiment, the first channel information reporting comprises at least one of resource indication or RSRP (reference signal received power); and the resource indication is used to indicate at least one resource in the second resource set.

[0865] As an embodiment, the first node or the sender of the first channel information reporting performs a first operation; wherein the first resource set is used for at least one of channel measurement or interference measurement of the first channel information reporting, the input of the first operation depends on the at least one of the channel measurement or interference measurement based on the first resource set, and the first channel information reporting depends on the output of the first operation.

[0866] As an embodiment, the first operation performs spatial beam prediction for a second resource set based on measurement of the first resource set.

[0867] As an embodiment, the first operation performs spatial beam prediction for a second resource set based on measurement of the first resource set, and the second resource set comprises resources not belonging to the first resource set.

[0868] As an embodiment, benefits of the above method include reduced RS overhead, reduced feedback latency.

[0869] As an embodiment, the first operation is based on measurements of the first set of resources for channel information prediction for the second set of resources.

[0870] As an embodiment, the channel information in this disclosure includes beam information.

[0871] As an embodiment, the first operation is based on historic measurements of the first set of resources for Temporal beam prediction for the second set of resources.

[0872] As an embodiment, benefits of the above method include reduced beam feedback latency, improved real-time beam acquisition.

[0873] As an embodiment, the first operation is based on historic measurements of the first set of resources for Temporal channel information prediction for the second set of resources.

[0874] As an embodiment, benefits of the above method include reduced channel information feedback latency, improved real-time channel information acquisition.

[0875] As an embodiment, the input of the first operation further includes the second set of resources.

[0876] As an embodiment, the input of the first operation further includes part or all of the second set of resources.

[0877] As an embodiment, the measurements based on the first set of resources include pre-compression channel information, and the output of the first operation includes post-compression channel information.

[0878] As an embodiment, benefits of the above method include channel compression, reduced feedback overhead.

[0879] As an embodiment, the measurements based on the first set of resources include measured channel information, and the output of the first operation includes predicted channel information.

[0880] As an embodiment, the measurements based on the first set of resources include measured channel information, and the output of the first operation includes spatial beam prediction.

[0881] As an embodiment, the measurements based on the first set of resources include measured channel information, and the output of the first operation includes spatial beam prediction for the second set of resources.

[0882] As one embodiment, the resources in the second set of resources comprise at least one of an antenna port, a time-frequency resource, a time-frequency code resource, a beam, an RS resource, a vector, or a matrix.

[0883] As one embodiment, the benefits of the above method include reduced RS overhead and reduced feedback latency.

[0884] As one embodiment, the channel information in this disclosure comprises beam information.

[0885] As one embodiment, the measurement based on the first set of resources comprises current channel information, and the output of the first operation comprises predicted channel information.

[0886] As one embodiment, the measurement based on the first set of resources comprises historic channel information, and the output of the first operation comprises predicted channel information.

[0887] As one embodiment, the measurement based on the first set of resources comprises historic channel information, and the output of the first operation comprises Temporal beam prediction.

[0888] As one embodiment, the measurement based on the first set of resources comprises historic channel information, and the output of the first operation comprises Temporal beam prediction for the second set of resources.

[0889] As one embodiment, the benefits of the above method include reduced channel information feedback latency and improved real-time channel information acquisition.

[0890] As one embodiment, the measurement based on the first set of resources comprises current channel information, and the output of the first operation comprises channel information after a period of time.

[0891] As one embodiment, the measurement based on the first set of resources comprises current channel information, and the output of the first operation comprises future channel information.

[0892] As one embodiment, the measurement based on the first set of resources comprises historic channel information, and the output of the first operation comprises future channel information.

[0893] As one embodiment, the benefits of the above method include improved CSI accuracy and real-time performance and reduced RS overhead.

[0894] As one embodiment, the measurement based on the first set of resources comprises incomplete channel information, and the output of the first operation comprises complete channel information.

[0895] As an embodiment, the above method has the benefits of reducing RS overhead, improving CSI accuracy and integrity.

[0896] As an embodiment, the measurement based on the first resource set includes channel information of P1 antenna ports, the output of the first operation includes channel information of P2 antenna ports, the P1 and the P2 are positive integers greater than 1 respectively, and the P1 is less than the P2.

[0897] As a sub-embodiment of the above embodiment, the P1 antenna ports are a proper subset of the P2 antenna ports.

[0898] As a sub-embodiment of the above embodiment, the P2 antenna ports belong to the second resource set.

[0899] As an embodiment, the measurement based on the first resource set includes channel information of a first frequency domain resource, the output of the first operation includes channel information of a second frequency domain resource, and the second frequency domain resource includes frequency domain resources not belonging to the first frequency domain resource.

[0900] As a sub-embodiment of the above embodiment, the first frequency domain resource is a proper subset of the second frequency domain resource.

[0901] As an embodiment, how to generate the first channel information report is determined by the manufacturer of the first node or is implementation-dependent. Some typical but non-limiting implementations are described below:

[0902] In one implementation, the first channel information report includes L1-RSRP or L1-SINR; the first node obtains L1-RSRP or L1-SINR based on the measurement of at least one RS resource in the first resource set. Generally, the filtering algorithm of L1-RSRP or L1-SINR is determined by the manufacturer of the first node or is implementation-dependent, which can be algorithmic or hardware implementation.

[0903] In another implementation, the first node obtains a channel parameter matrix H r×P based on the channel measurement of at least one RS resource in the first resource set. r×P The power-adjusted channel parameter matrix is where Q is the assumed ratio of PDSCH (Physical Downlink Shared Channel) EPRE (Energy Per Resource Element) to NZP CSI-RS EPRE. Under the condition of using precoding matrix W P×l , the precoded channel parameter matrix is where l is the rank or the number of layers, in one case l is a positive integer no larger than P, in another case the precoding matrix is an identity matrix, in which case P = l. The equivalent channel capacity of H r×P · W P×l is calculated using, for example, SINR (Signal Interference Noise Ratio), EESM (Exponential Effective SINR Mapping), or RBIR (Received Block mean mutual Information Ratio) criteria, and then the first channel information report is obtained from the equivalent channel capacity by means of table lookup or the like. Generally, the calculation of the equivalent channel capacity requires the first node to estimate the interference (including noise), the first resource set includes RS resources for channel measurement and RS resources for interference measurement, and the first node can obtain the interference by measuring at least one RS resource in the first resource set in the present application. Generally, the direct mapping of the equivalent channel capacity to CSI depends on the receiver performance, or the modulation mode and other hardware-related factors.

[0904] In another embodiment, the first node first performs measurement on the RS resources in the first resource set to obtain the channel parameter matrix H r×t , where r, t are the number of receive antennas and the number of antenna ports, respectively; at least the channel parameter matrix H r×t or its eigenvector is input into the first operation in the present application, and the output of the first operation is used to obtain the first channel information report.

[0905] Without loss of generality, the parameters or AI models used by the first operation are determined by the manufacturer of the first node.

[0906] As an embodiment, the first resource set includes one or more RS (Reference Signal) resource sets, and one RS resource set includes one or more RS resources.

[0907] As one embodiment, the first resource set comprises at least one of at least one CSI-RS resource set, at least one CSI-SSB (Channel State Information-Synchronization Signal Block) resource set, or at least one CSI-IM (Channel State Information-Interference Measurement) resource set.

[0908] As one embodiment, the first resource set comprises at least one RS resource set for channel measurement, and at least one RS resource set for interference measurement; one RS resource set for channel measurement comprises one or more RS resources, and one RS resource set for interference measurement comprises one or more RS resources.

[0909] As one embodiment, the first resource set comprises at least one RS resource set for channel measurement, and at least one RS resource set for interference measurement; one RS resource set for channel measurement comprises one or more RS resources, and one RS resource set for interference measurement comprises one or more RS resources.

[0910] As one embodiment, the first resource set comprises at least one RS resource set for interference measurement; one RS resource set for interference measurement comprises one or more RS resources.

[0911] As one embodiment, one RS resource set for channel measurement comprises one or more RS resources, and any RS resource in the one RS resource set for channel measurement is a CSI-RS resource or a synchronization signal resource.

[0912] As one embodiment, one RS resource set for interference measurement comprises one or more RS resources.

[0913] As one embodiment, one RS resource set for interference measurement comprises one or more RS resources, and any RS resource in the one RS resource set for interference measurement is a CSI-IM resource or a NZP (non-zero power) CSI-RS resource for interference measurement.

[0914] As one embodiment, the first resource set comprises at least one of a CSI-RS (Channel State Information Reference Signal) resource or a synchronization signal resource.

[0915] As one embodiment, the synchronization signal resource comprises at least a resource occupied by a synchronization signal.

[0916] As an embodiment, the synchronization signal resource is a SSB (Synchronization Signal Block).

[0917] As an embodiment, the synchronization signal resource is a SS / PBCH (synchronization signal / physical broadcast channel) block resource.

[0918] As an embodiment, a first information block is used to configure the first channel information reporting, the first information block indicating at least one resource configuration, the at least one resource configuration indicating a first resource set.

[0919] As an embodiment, one resource configuration is used to configure a CSI resource.

[0920] As an embodiment, one resource configuration is an IE CSI-ResourceConfig.

[0921] As an embodiment, one resource configuration includes an RRC IE.

[0922] As an embodiment, one resource configuration includes an IE CSI-ResourceConfig.

[0923] As an embodiment, a first information block is used to configure the first channel information reporting, the first information block indicating an identity of the first resource set.

[0924] As an embodiment, the second resource set is the first resource set.

[0925] As an embodiment, the second resource set includes resources not belonging to the first resource set.

[0926] As an embodiment, a first information block is used to configure the first channel information reporting, the first information block indicating a first resource set, the first resource set including one or more RS resources, the first resource set being used for at least one of channel measurement or interference measurement for the first channel information reporting; the first channel information reporting indicating at least one resource in a second resource set and RSRP, the second resource set including resources not belonging to the first resource set.

[0927] As an embodiment, the first node is not required to measure part or all of the resources in the second resource set.

[0928] As one embodiment, the first set of resources includes one or more RS resources, the first set of resources is used for at least one of channel measurement or interference measurement for the first channel information reporting, and the second set of resources is used for prediction.

[0929] As one embodiment, only the first set of resources among the first set of resources and the second set of resources is used for measurement.

[0930] As one embodiment, only the first set of resources among the first set of resources and the second set of resources is used for measurement includes that only the first set of resources among the first set of resources and the second set of resources is used by the first node for at least one of channel measurement or interference measurement.

[0931] As one embodiment, only the first set of resources among the first set of resources and the second set of resources is used for measurement includes that the first set of resources is used by the first node for at least one of channel measurement or interference measurement, and the first node is not required to measure part or all of the second set of resources.

[0932] As one embodiment, the first node is not required to measure the second set of resources includes that the first node does not measure part or all of the second set of resources.

[0933] As one embodiment, the first node is not required to measure the second set of resources includes that whether the first node measures part or all of the second set of resources is implementation dependent or self-determined by the first node.

[0934] As one embodiment, the second set of resources includes the first set of resources and resources other than the first set of resources.

[0935] As one embodiment, the first set of resources includes one or more RS resources, the second set of resources includes one or more RS resources, and the second set of resources includes RS resources other than the first set of resources.

[0936] As one embodiment, the first set of resources includes less resources than the second set of resources.

[0937] As one embodiment, the first set of resources includes less RS resources than the second set of resources.

[0938] As one embodiment, the second set of resources includes resources that are not part of the first set of resources.

[0939] As an embodiment, the second set of resources comprises antenna ports not belonging to the first set of resources.

[0940] As an embodiment, the second set of resources comprises resources not belonging to the first set of resources, the resources in the second set of resources comprising at least one of an antenna port, a TCI state, QCL information, a time-frequency resource, a time-frequency code resource, a beam, an RS resource, a vector, or a matrix.

[0941] As an embodiment, the second set of resources comprises at least one training dataset.

[0942] As an embodiment, the second set of resources is used for training an AI model.

[0943] As an embodiment, the second set of resources is used for training the first operation in the present application.

[0944] As an embodiment, the second set of resources comprises one or more sets of RS (Reference Signal) resources, a set of RS resources comprising one or more RS resources.

[0945] As an embodiment, a first information block is used for configuring the first channel information reporting, the first information block indicating a first identity, the second set of resources depending on the first identity in the first information block.

[0946] As an embodiment, the second set of resources depending on the first identity comprises that the first identity is used to identify the second set of resources.

[0947] As an embodiment, the second set of resources depending on the first identity comprises that the first identity is used to identify a reference set of resources, the reference set of resources comprising the second set of resources.

[0948] As an embodiment, the second set of resources depending on the first identity comprises that the first identity is used to identify a reference set of resources, the reference set of resources comprising the second set of resources, the first information block being used to indicate the second set of resources from the reference set of resources.

[0949] As an embodiment, a first information block is used for configuring the first channel information reporting, information other than the first information block indicating the second set of resources.

[0950] As an embodiment, the information other than the first information block indicating the second set of resources comprises a higher layer parameter.

[0951] As one embodiment, the information outside the first information block indicating the second set of resources comprises an RRC parameter.

[0952] As one embodiment, the information outside the first information block indicating the second set of resources comprises part or all fields of an RRC IE.

[0953] As one embodiment, the information outside the first information block indicating the second set of resources comprises a MAC CE.

[0954] As one embodiment, the information outside the first information block indicating the second set of resources comprises a DCI (downlink control information).

[0955] In embodiment 12C, the output of the first operation comprises a first CSI, the first channel information report carries the first CSI, and the first CSI is used by a target receiver of the first channel information report as input of a second operation to generate a second CSI.

[0956] As one embodiment, the above method has the benefit of improving the performance of CSI reporting, including more accurate reporting and / or lower overhead, by leveraging the advantages of the first operation.

[0957] As one embodiment, the first CSI is used to generate the first channel information report.

[0958] As one embodiment, the first channel information report comprises the first CSI.

[0959] As one embodiment, the first CSI comprises a compressed CSI.

[0960] As one embodiment, the first CSI comprises a compressed predicted channel information.

[0961] As one embodiment, the first CSI is used to generate the first channel information report after being post-processed.

[0962] As one embodiment, the first channel information report comprises the first CSI after being post-processed.

[0963] As one embodiment, the first channel information report carries the first CSI after being post-processed.

[0964] As one embodiment, the first CSI is used to generate the first channel information report after being truncated and / or quantized.

[0965] As one embodiment, the first channel information reporting comprises the first CSI after truncation and / or quantization.

[0966] As one embodiment, the first channel information reporting carries the first CSI after truncation and / or quantization.

[0967] As one embodiment, the first CSI comprises a channel matrix.

[0968] As one embodiment, the first CSI comprises an eigenvector.

[0969] As one embodiment, the first CSI comprises an eigenvector and an eigenvalue.

[0970] As one embodiment, the first CSI comprises precoding information.

[0971] As one embodiment, the first CSI comprises non-codebook-based precoding information.

[0972] As one embodiment, the first CSI is used to determine at least one precoding matrix.

[0973] As one embodiment, the first CSI indicates at least one precoding matrix.

[0974] As one embodiment, the precoding matrix is spatial-frequency domain.

[0975] As one embodiment, the precoding matrix is angular-delay domain projection.

[0976] As one embodiment, the first CSI comprises information of relative phase, amplitude and / or coefficients among multiple antenna ports.

[0977] As one embodiment, the first CSI comprises compressed CSI.

[0978] As one embodiment, the first CSI comprises predicted / estimated CSI.

[0979] As one embodiment, the first operation is for CSI compression, and the second operation is for CSI recovery.

[0980] As one embodiment, the second CSI comprises recovery of at least part of input of the first operation.

[0981] As one embodiment, the second CSI comprises a channel matrix.

[0982] As an embodiment, the second CSI comprises eigenvectors and / or eigenvalues.

[0983] As an embodiment, the second CSI comprises a precoding matrix.

[0984] As an embodiment, the second CSI comprises one or more of a channel matrix, eigenvectors, eigenvalues, or a precoding matrix.

[0985] As an embodiment, the target receiver of the first channel information reporting is the sender of the first information block.

[0986] As an embodiment, the second operation is an inverse operation of the first operation.

[0987] As an embodiment, the second operation is training-based.

[0988] As an embodiment, the training for obtaining the second operation is performed by the target receiver of the first channel information reporting.

[0989] As an embodiment, the training for obtaining the second operation is performed by an MDA function.

[0990] As an embodiment, the training for obtaining the second operation is performed by an MDAS producer.

[0991] As an embodiment, the training for obtaining the second operation is performed by an NWDAF.

[0992] As an embodiment, the training for obtaining the second operation is performed by a core network.

[0993] As an embodiment, the training for obtaining the second operation is performed by an AI (Artificial Intelligence) training producer.

[0994] As an embodiment, the first operation and the second operation are obtained through different training.

[0995] As an embodiment, the first operation and the second operation are obtained through mutually independent training.

[0996] As an embodiment, the benefits of the above method include saving air interface overhead, having better flexibility, being able to adapt to different terminals, and having better forward compatibility.

[0997] As an embodiment, the first operation and the second operation are obtained through joint training.

[0998] As one embodiment, benefits of the above method include: optimized performance.

[0999] As one embodiment, the training of the second operation relies on the first operation.

[1000] As one embodiment, a producer of the second operation trains the second operation according to the output of the first operation.

[1001] As one embodiment, the second operation includes inference.

[1002] As one embodiment, the second operation includes AI inference.

[1003] As one embodiment, the second operation includes AI inference for CSI.

[1004] As one embodiment, the second operation is AI inference for CSI recovery.

[1005] As one embodiment, the second operation is AI inference for CSI decompression.

[1006] As one embodiment, the second operation is executed by an AI entity of the second node in the present application.

[1007] As one embodiment, the second operation is for an AI function of the second node in the present application.

[1008] As one embodiment, the second operation is for deployment.

[1009] As one embodiment, the second operation is obtained by loading.

[1010] As one embodiment, the second operation is obtained by loading from a core network.

[1011] As one embodiment, the second operation is obtained by loading from a producer.

[1012] As one embodiment, the second operation is obtained by loading from a producer of the second operation.

[1013] As one embodiment, the second operation is obtained by loading from an AL entity producer.

[1014] As one embodiment, the second operation is obtained by loading from an AL function producer.

[1015] As one embodiment, the second operation is loaded from an MnS producer.

[1016] As one embodiment, the second operation is based on artificial intelligence or machine learning.

[1017] As one embodiment, the second operation is based on a neural network.

[1018] As one embodiment, the second operation comprises a decoder for neural network based CSI compression.

[1019] As one embodiment, the second operation comprises an encoder for CNN based CSI compression.

[1020] As one embodiment, the second operation is performed by a physical layer of the second node.

[1021] As one embodiment, the second operation is performed by a higher layer of the second node.

[1022] Embodiments 13A-13B

[1023] Embodiments 13A-13B illustrate a schematic diagram of the first node deploying a first operation according to one embodiment of the present application, respectively; as shown in Figs. 13A-13B, respectively.

[1024] In embodiment 13A, the first node makes a request to a first producer to load a first operation, and obtains the first operation from the first producer.

[1025] As one embodiment, the deployment comprises obtaining the first operation.

[1026] As one embodiment, the deployment comprises obtaining an AI entity.

[1027] As one embodiment, the deployment comprises obtaining an AI entity that performs the first operation.

[1028] As one embodiment, the deployment comprises obtaining an AI entity that comprises an AI function that performs the first operation.

[1029] As one embodiment, the deployment comprises loading the first operation.

[1030] As one embodiment, the deployment comprises making a request to load the first operation.

[1031] As one embodiment, the first operation is obtained from a serving cell of the first node.

[1032] As one embodiment, the first operation is obtained from a maintenance base station of a serving cell of the first node.

[1033] As one embodiment, the first operation is obtained from a core network.

[1034] As one embodiment, the first operation is obtained from a first producer.

[1035] As one embodiment, the deployment is done by an AI function.

[1036] As one embodiment, the deployment is done by an AI function deployed at the first node.

[1037] As one embodiment, the deployment is done by an AI deployment function.

[1038] As one embodiment, the deployment is done by an AI deployment function deployed at the first node.

[1039] As one embodiment, the deployment is done by an AI inference function.

[1040] As one embodiment, the deployment is done by an AI inference function deployed at the first node.

[1041] As one embodiment, the deployment is done by an AI entity.

[1042] As one embodiment, the deployment is done by an AI entity deployed at the first node.

[1043] As one embodiment, the deployment is done by an AI entity with a deployment function.

[1044] As one embodiment, the deployment is done by an AI entity with a deployment function deployed at the first node.

[1045] As one embodiment, the deployment is done by an AI entity with an inference function.

[1046] As one embodiment, the deployment is done by an AI entity with an inference function deployed at the first node.

[1047] As one embodiment, the deployment comprises obtaining the first operation from a first producer.

[1048] As one embodiment, the deploying includes making a request to a first producer to load the first operation.

[1049] As one embodiment, the deploying includes loading the first operation from a first producer.

[1050] As one embodiment, the first producer generates and provides an AL entity.

[1051] As one embodiment, the first producer generates and provides an AL function.

[1052] As one embodiment, the first producer is a producer of the first operation.

[1053] As one embodiment, the first producer includes an AL entity producer.

[1054] As one embodiment, the first producer includes an AL function producer.

[1055] As one embodiment, the first producer includes an AL deployment producer.

[1056] As one embodiment, the first producer includes an AL load producer.

[1057] As one embodiment, the first producer includes an AL training producer.

[1058] As one embodiment, the first producer includes an AL inference producer.

[1059] As one embodiment, the first producer includes a producer of a deployment of an AL entity.

[1060] As one embodiment, the first producer includes a producer of a load of an AL entity.

[1061] As one embodiment, the first producer includes an MnS (Management Service) producer.

[1062] As one embodiment, a sender of the first information block is the first producer.

[1063] As one embodiment, a sender of the first information block is different from the first producer.

[1064] As one embodiment, a performer of training to obtain the first operation is the first producer.

[1065] As one embodiment, a performer of training to obtain the first operation is different from the first producer.

[1066] As one embodiment, the AI comprises ML (Machine Learning).

[1067] In embodiment 13B, the first node makes a request to a second producer to load the first operation, and obtains the first operation from the first producer.

[1068] As one embodiment, the deployment comprises obtaining the first operation.

[1069] As one embodiment, the deployment comprises obtaining an AI entity or AI function that performs the first operation.

[1070] As one embodiment, the deployment comprises loading the first operation.

[1071] As one embodiment, the deployment comprises making a request to load the first operation.

[1072] As one embodiment, the deployment is performed by an AI function deployed at the first node.

[1073] As one embodiment, the deployment is performed by an AI deployment function deployed at the first node.

[1074] As one embodiment, the deployment is performed by an AI entity having a deployment function.

[1075] As one embodiment, the second producer generates and provides an AI entity or AI function.

[1076] As one embodiment, the second producer comprises an MnS (Management Service) producer.

[1077] As one embodiment, the second producer comprises a producer of training of an AI model.

[1078] As one embodiment, the second producer is a target receiver of the first channel information reporting.

[1079] As one embodiment, the second producer is different from a target receiver of the first channel information reporting.

[1080] As one embodiment, the second producer is a serving cell of the first node.

[1081] As one embodiment, the second producer is a maintaining base station of a serving cell of the first node.

[1082] As one embodiment, the second producer is a core network.

[1083] As one embodiment, the first operation is obtained from a serving cell of the first node.

[1084] As one embodiment, the first operation is obtained from a maintenance base station of a serving cell of the first node.

[1085] As one embodiment, the first operation is obtained from a core network.

[1086] As one embodiment, training for obtaining the first operation is performed by the second producer.

[1087] As one embodiment, the second producer is different from the first producer.

[1088] As one embodiment, the first producer generates and provides an AL entity.

[1089] As one embodiment, the first producer generates and provides an AL function.

[1090] As one embodiment, the first producer is a producer of the first operation.

[1091] As one embodiment, the first producer includes an AL entity producer.

[1092] As one embodiment, the first producer includes an AL function producer.

[1093] As one embodiment, the first producer includes an AL deployment producer.

[1094] As one embodiment, the first producer includes an AL loading producer.

[1095] As one embodiment, the first producer includes an AL training producer.

[1096] As one embodiment, the first producer includes an AL inference producer.

[1097] As one embodiment, the first producer includes a producer of deployment of an AL entity.

[1098] As one embodiment, the first producer includes a producer of loading of an AL entity.

[1099] As one embodiment, the first producer includes a MnS (Management Service) producer.

[1100] Embodiment 14

[1101] Embodiment 14 illustrates a schematic diagram of RAN (Radio Access Network) domain AI / ML function deployment according to an embodiment of the present application; as shown in FIG. 14. The gNB in Embodiment 14 can be replaced by e.g. eNB, or 6G base station, or other network equipment.

[1102] AI / ML related functions include ML training function (also referred to as AI training, or AI / ML training), ML testing function, ML inference function (also referred to as AI inference, or AI / ML inference), and so on. The ML training function, ML testing function, ML inference function can be deployed independently, or co-located. The deployment of AI / ML related functions can be implemented by software, e.g. executable file download and / or running; or implemented by software combined with hardware, e.g. specific computing unit is accelerated by hardware to improve operation speed or save power consumption.

[1103] For ML training function, it can be deployed in cross-domain management system, or domain-specific management system; the domain-specific management system is used to manage RAN domain or CN (Core Network) domain. For example, for MDA (Management Data Analytics) ML training function, it can be deployed in MDAF (MDA function); for network data analytics ML training, it can be deployed in NWDAF (Network Data Analytics Function), i.e. ML training function is MTLF (Model Training logical function).

[1104] For ML inference function, it can also be deployed in cross-domain management system, or domain-specific management system; for example, ML inference function is MDAF, or ML inference function is AnLF (Analytics logical function) located in NWDAF.

[1105] Similarly, ML testing function can also be deployed in cross-domain management system, or domain-specific management system.

[1106] In embodiment 14, the RAN-domain ML training function 1402 is located in the RAN-domain management function 1403; while the ML inference functions are located in the base stations, i.e., the AI / ML inference function 1404 is located in the gNB 1405, the AI / ML inference function 1406 is located in the gNB 1407, and so on.

[1107] In FIG. 14, the management of the ML inference functions of the plurality of base stations is completed by the RAN-domain management function 1403, i.e., data interaction is performed with the RAN-domain MnS (Management Service) consumer / cross-domain management 1401 (as shown by the dashed arrow in FIG. 14).

[1108] Optionally, the management of the ML inference functions can also be completed by the base stations themselves, i.e., each base station can independently perform data interaction with the RAN-domain MnS consumer / cross-domain management 1401.

[1109] It should be noted that embodiment 14 is merely one non-limiting implementation; optionally, the ML training function of the RAN domain can also be deployed in the base station; or optionally, part of the base stations deploy the ML inference function and the ML training function of the RAN domain, while part of the base stations only deploy the ML inference function.

[1110] As one embodiment, one gNB (or base station) in embodiment 14 is the second node of the application.

[1111] As one embodiment, the second processor in the application includes one AL / ML inference function in FIG. 14, i.e., 1404 or 1406.

[1112] Embodiment 15

[1113] Embodiment 15 illustrates a schematic diagram of AI / ML function deployment of a UE according to one embodiment of the application; as shown in FIG. 15. The RAN-domain ML training function 1505 in FIG. 15 is optional.

[1114] The UE function 1504 is deployed in the first node of the application, and the UE function 1504 includes the AI / ML inference function 1506; the AI / ML inference function 1506 uses a ML model (also referred to as an AI model) for inference; a ML model is usually trained before being used for AI / ML inference.

[1115] As one embodiment, the first channel information reporting in the application is obtained through inference of the AI / ML inference function 1506.

[1116] As one embodiment, the first processor in the application includes one AL / ML inference function 1506 in FIG. 15.

[1117] As an embodiment, the UE function 1504 comprises a RAN-domain ML training function 1505, which runs training data through a ML model, derives a related loss, adjusts parameters of the ML model based on the computed loss; the ML training comprises at least one of ML initial training, ML re-training, reinforcement learning.

[1118] The above embodiments can reduce the complexity of the base station, or save the air interface resources caused by reporting training data; however, the above embodiments put higher requirements on the processing capability of the UE side.

[1119] Optionally, the UE function 1504 further comprises a CN-domain ML training function (not included in FIG. 15).

[1120] Optionally, the UE function 1504 further comprises an AI / ML deployment function (not included in FIG. 15), which is used to load ML models and data.

[1121] As an embodiment, the first node indicates whether the ML training function (RAN domain or CN domain) is supported through capability reporting, and the capability reporting is RRC signaling or NAS (Non-Access Stratum) signaling.

[1122] As an embodiment, the ML model and related metadata are loaded by the first node from a network device or a remote server.

[1123] Optionally, the UE function 1504 is an MnS (Management Service) producer that provides data for management or analysis to the CN-domain MnF (Management Function) 1501, and / or the RAN-domain MnF 1502, and / or the cross-domain management system 1503 (as shown by the double-headed arrow 1507).

[1124] Optionally, the UE function 1504 is a MnS consumer that loads data from a CN domain MnF (Management Function) 1501, and / or a RAN domain MnF 1502, and / or a cross-domain management system 1503 for AI / ML related management, such as management data requests, ML model activation, and / or ML training, etc. (as indicated by the double arrow 1507).

[1125] As an embodiment, the ML model is based on a neural network.

[1126] As an embodiment, the ML model is based on a CNN (Conventional Neural Networks).

[1127] As an embodiment, the ML model is based on a Transformer architecture.

[1128] Embodiment 16

[1129] Embodiment 16 illustrates a schematic diagram of an artificial intelligence or machine learning based processing system according to an embodiment of the present application; as shown in FIG. 16. FIG. 16(a) includes a third processor, a fourth processor, and a fifth processor, and FIG. 16(b) includes a third processor, a fourth processor, a fifth processor, and a sixth processor.

[1130] In embodiment 16(a), the third processor sends a first data set to the fourth processor, and a second data set to the fifth processor; the fourth processor generates a target first type parameter set according to the first data set, and the fourth processor sends the generated target first type parameter set to the fifth processor; the fifth processor processes the second data set using the target first type parameter set to obtain a first type output. In FIG. 16(a), the first type feedback is optional.

[1131] In embodiment 16(b), the third processor sends a first data set to the fourth processor, and a second data set to the fifth processor; the fourth processor generates a target first type parameter set according to the first data set, and the fourth processor sends the generated target first type parameter set to the fifth processor; the fifth processor processes the second data set using the target first type parameter set to obtain a first type output, and the fifth processor sends the first type output to the sixth processor. In FIG. 16(b), the first type feedback and the second type feedback are optional.

[1132] As an embodiment, in FIG. 16(a), the fifth processor sends the first type of output to the second node in the present application.

[1133] As an embodiment, in FIG. 16(a), the fifth processor performs the first operation in the present application using a single-sided AI model.

[1134] As an embodiment, in FIG. 16(b), the fifth processor performs the first operation in the present application and the sixth processor includes the second operation in the present application using a two-sided AI model.

[1135] As an embodiment, the AI includes ML (Machine Learning) inference.

[1136] As an embodiment, the fifth processor performs the first operation in the present application.

[1137] As an embodiment, the sixth processor includes the second operation in the present application.

[1138] As an embodiment, the fifth processor sends first type of feedback to the fourth processor, and the first type of feedback is used to trigger recalculation or update of the target first type of parameter group.

[1139] As an embodiment, the sixth processor sends second type of feedback to the third processor, and the second type of feedback is used to generate the first data set or the second data set, or the second type of feedback is used to trigger sending of the first data set or sending of the second data set.

[1140] As an embodiment, the third processor generates the first data set and the second data set according to measurement of first type of wireless signal, and the first type of wireless signal includes downlink RS.

[1141] As an embodiment, the fifth processor belongs to the first node, and the sixth processor belongs to the second node.

[1142] As an embodiment, the first channel information reporting belongs to the first type of output.

[1143] As an embodiment, the second data set includes the input of the first operation.

[1144] As an embodiment, for the first operation in the present application, the second data set includes information obtained based on the first information block.

[1145] As an embodiment, the first data set comprises training data.

[1146] As an embodiment, the fourth handler belongs to the first operation producer.

[1147] As an embodiment, the fourth handler comprises an AI training producer.

[1148] As an embodiment, the fourth handler comprises an AI training function.

[1149] As an embodiment, the fourth handler is used for model training, and the trained model is described by the target first-type parameter group.

[1150] As an embodiment, the fourth handler belongs to the first node.

[1151] The above embodiment avoids passing the first data set to the second node.

[1152] As an embodiment, the fourth handler belongs to the second node.

[1153] The above embodiment supports joint training and optimizes system performance.

[1154] As an embodiment, the fourth handler belongs to the core network.

[1155] The above embodiment supports full-network joint training and further optimizes system performance.

[1156] As an embodiment, the second data set comprises inference data.

[1157] As an embodiment, the fifth handler comprises an AI inference producer.

[1158] As an embodiment, the fifth handler comprises an AI inference function.

[1159] As an embodiment, the fifth handler belongs to the first node.

[1160] As an embodiment, the fifth handler constructs a model according to the target first-type parameter group, and then inputs the second data set into the constructed model to obtain the first-type output.

[1161] As an embodiment, the first operation is described by the target first-type parameter group.

[1162] As one embodiment, the target first-type parameter set is used to construct the first operation.

[1163] As one embodiment, the fifth processor comprises the second operation.

[1164] As one embodiment, the fifth processor generates a recovery data set from the first-type output, and an error of the recovery data set and the second data set is used to generate the first-type feedback.

[1165] As one sub-embodiment of the above-mentioned embodiment, the generation of the recovery data set employs a similar operation as the second operation.

[1166] As one embodiment, the first-type feedback is used to reflect the performance of the trained model; when the performance of the trained model cannot meet the requirement, the fourth processor recalculates the target first-type parameter set.

[1167] As one embodiment, when the error is too large or the update is not performed for too long a time, the performance of the trained model is considered to be unable to meet the requirement.

[1168] As one embodiment, the target first-type parameter set comprises one or more of the following: convolution kernel size, convolution layer number, convolution step, pooling kernel size, pooling kernel step, pooling function, activation function, or feature map number.

[1169] As one embodiment, the target first-type parameter set comprises one or more of the following: convolution kernel, pooling kernel, pooling function, activation function, parameter of the pooling function, or parameter of the activation function.

[1170] Embodiment 17

[1171] Embodiment 17 illustrates a structural block diagram of a processing apparatus in a first node according to one embodiment of the present application; as shown in FIG. 17. In FIG. 17, the processing apparatus 1800 in the first node comprises a first processor 1801.

[1172] As one embodiment, the first node is a user equipment.

[1173] As one embodiment, the first node is a relay node equipment.

[1174] As one embodiment, the first processor 1801 comprises at least one of the following in Embodiment 4: {antenna 452, receiver / transmitter 454, receiving processor 456, transmitting processor 468, multi-antenna receiving processor 458, multi-antenna transmitting processor 457, controller / processor 459, memory 460, data source 467}.

[1175] The first processor 1801 receives a first information block; and sends a first channel information report.

[1176] In embodiment 17, the first information block is used for configuring the first channel information report; the generation of the first channel information report occupies at least one first type of resource and at least one second type of resource; the first channel information report occupies the at least one first type of resource from a first time point until a third time point, and occupies the at least one second type of resource from a second time point until a fourth time point; the first time point is equal to or later than the second time point, and the third time point is earlier than or equal to the fourth time point; the first time point is different from the second time point, or the third time point is different from the fourth time point.

[1177] As an embodiment, the first type of resource and the second type of resource are in the first processor 1801.

[1178] As an embodiment, the first channel information report is generated based on inference.

[1179] As an embodiment, whether the first time point is equal to or later than the second time point depends on a reporting type of the first channel information report, and the reporting type of the first channel information report is one of periodic reporting, aperiodic reporting, semi-persistent reporting or event triggered reporting.

[1180] As an embodiment, when a first condition is met, the first time point is later than the second time point; the first condition includes that the first channel information report is triggered by physical layer signaling.

[1181] As an embodiment, the first channel information report is triggered by physical layer signaling, a first physical layer channel carries the physical layer signaling triggering the first channel information report; the first time point is at least a first time interval after the first physical layer channel; the second time point is a starting time point of a first symbol after the first physical layer channel, or the second time point is at least a second time interval after the first physical layer channel.

[1182] As an embodiment, the first channel information report is triggered by physical layer signaling, a first physical layer channel carries the physical layer signaling triggering the first channel information report; the first time point is a starting time point of a first symbol after the first physical layer channel, and the second time point is at least a first time interval before the first physical layer channel.

[1183] As an embodiment, whether the third time instant is earlier than or equal to the fourth time instant depends on a reporting type of the first channel information reporting, the reporting type of the first channel information reporting being one of periodic reporting, aperiodic reporting, semi-persistent reporting, or event triggered reporting.

[1184] As an embodiment, when a second condition is satisfied, the third time instant is earlier than the fourth time instant; the second condition including at least one of the first channel information reporting being semi-persistent reporting or the first channel information reporting being triggered by physical layer signaling.

[1185] As an embodiment, N time intervals respectively correspond to N identities, N being a positive integer greater than 1; a generation of the first channel information reporting corresponding to a first identity, the first identity being one of the N identities, the first time interval being one of the N time intervals corresponding to the first identity.

[1186] As an embodiment, the first processor 1801 sends a second information block, the second information block indicating the first time interval.

[1187] As an embodiment, the first processor 1801 performs a first operation, the first channel information reporting depending on an output of the first operation.

[1188] As an embodiment, the first operation is training based or AI based.

[1189] As an embodiment, the first operation is deployment required.

[1190] As an embodiment, the first operation is obtained by load.

[1191] As an embodiment, the first processor 1801 deploys the first operation.

[1192] Embodiment 18

[1193] Embodiment 18 illustrates a structural block diagram of a processing apparatus in a second node according to an embodiment of the present application; as shown in FIG. 18. In FIG. 18, the processing apparatus 1900 in the second node includes a second processor 1901.

[1194] As an embodiment, the second node is a base station device.

[1195] As an embodiment, the second node is a user equipment.

[1196] As an embodiment, the second node is a relay node device.

[1197] As one embodiment, the second processing machine 1901 includes at least one of {antenna 420, receiver / transmitter 418, receive processor 470, transmit processor 416, multi-antenna receive processor 472, multi-antenna transmit processor 471, controller / processor 475, memory 476} in embodiment 4.

[1198] The second processing machine 1901 transmits a first information block; receives a first channel information report;

[1199] In embodiment 18, the first information block is used for configuring the first channel information report; the first channel information report occupies at least one first type resource and at least one second type resource; the first channel information report occupies the at least one first type resource from a first time instant until a third time instant, and occupies the at least one second type resource from a second time instant until a fourth time instant; the first time instant is equal to or later than the second time instant, and the third time instant is earlier than or equal to the fourth time instant; the first time instant is different from the second time instant, or the third time instant is different from the fourth time instant.

[1200] As one embodiment, the first channel information report is generated based on inference.

[1201] As one embodiment, whether the first time instant is equal to or later than the second time instant depends on a report type of the first channel information report, the report type of the first channel information report being one of periodic report, aperiodic report, semi-persistent report or event triggered report.

[1202] As one embodiment, the first time instant is later than the second time instant when a first condition is satisfied; the first condition includes that the first channel information report is triggered by physical layer signaling.

[1203] As one embodiment, the first channel information report is triggered by physical layer signaling, a first physical layer channel carrying the physical layer signaling triggering the first channel information report; the first time instant is at least a first time interval after the first physical layer channel; the second time instant is a starting time instant of a first symbol after the first physical layer channel, or the second time instant is at least a second time interval after the first physical layer channel.

[1204] As one embodiment, the first channel information report is triggered by physical layer signaling, a first physical layer channel carrying the physical layer signaling triggering the first channel information report; the first time instant is a starting time instant of a first symbol after the first physical layer channel, and the second time instant is at least a first time interval before the first physical layer channel.

[1205] As an embodiment, whether the third time is earlier than or equal to the fourth time depends on a reporting type of the first channel information reporting, the reporting type of the first channel information reporting being one of periodic reporting, aperiodic reporting, semi-persistent reporting, or event-triggered reporting.

[1206] As an embodiment, when a second condition is satisfied, the third time is earlier than the fourth time; the second condition including at least one of the first channel information reporting being semi-persistent reporting or the first channel information reporting being triggered by physical layer signaling.

[1207] As an embodiment, N time intervals respectively correspond to N identifiers, N being a positive integer greater than 1; generation of the first channel information reporting corresponds to a first identifier, the first identifier being one of the N identifiers, and the first time interval being a time interval of the N time intervals corresponding to the first identifier.

[1208] As an embodiment, the second processor 1901 receives a second information block, the second information block indicating the first time interval.

[1209] As an embodiment, the second processor 1901 performs a second operation; wherein a sender of the first channel information reporting performs a first operation, an output of the first operation including first CSI, the first channel information reporting carrying the first CSI, the first CSI being used as an input of the second operation to generate second CSI.

[1210] As an embodiment, the first operation is based on training or AI.

[1211] As an embodiment, the first operation is deployment-needed.

[1212] As an embodiment, the first operation is obtained by load.

[1213] As an embodiment, the second processor 1801 deploys the second operation.

[1214] As an embodiment, the second operation is based on training or AI.

[1215] As an embodiment, the second operation is deployment-needed.

[1216] As an embodiment, the second operation is obtained by load.

[1217] Those skilled in the art can understand that all or part of the steps in the foregoing method can be instructed by programs to the relevant hardware, and the programs can be stored in a computer readable storage medium, such as a read-only memory, a hard disk, an optical disk or the like. Alternatively, all or part of the steps of the foregoing embodiments can also be implemented using one or more integrated circuits. Correspondingly, each module unit in the foregoing embodiments can be implemented in the form of hardware or in the form of a software function module, and the present application is not limited to any specific form of combination of software and hardware. The user equipment, terminal and UE in the present application include but are not limited to unmanned aerial vehicles, communication modules on unmanned aerial vehicles, remote control aircraft, aircraft, small aircraft, mobile phones, tablet computers, notebooks, vehicle-mounted communication devices, vehicles, vehicles, RSUs, wireless sensors, network cards, Internet of Things terminals, RFID terminals, NB-IOT terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, network cards, vehicle-mounted communication devices, low-cost mobile phones, low-cost tablet computers and other wireless communication devices. The base station or system device in the present application includes but is not limited to macro cellular base stations, micro cellular base stations, small cellular base stations, home base stations, relay base stations, eNBs, gNBs, TRPs (Transmitter Receiver Points), GNSSs, relay satellites, satellite base stations, air base stations, RSUs (Road Side Units), unmanned aerial vehicles, test equipment such as wireless communication devices that simulate part of the functions of base stations or signaling testers, and the like.

[1218] Those skilled in the art will understand that the application can be implemented by other specified forms without departing from the core or essential characteristics thereof. Therefore, the presently disclosed embodiments should in no way be considered as descriptive rather than limiting. The scope of the application is determined by the appended claims rather than the preceding description, and all modifications within the equivalent meaning and range of the claims are considered to be included therein.

Claims

A first node for wireless communication, characterized in that The method comprises: a first processor receiving a first information block; sending a first channel information report; wherein the first information block is used to configure the first channel information report; the generation of the first channel information report occupies at least one first type of resource and at least one second type of resource; the first channel information report occupies the at least one first type of resource from a first time to a third time, and the first channel information report occupies the at least one second type of resource from a second time to a fourth time; the first time is equal to or later than the second time, and the third time is earlier than or equal to the fourth time; the first time is different from the second time, or the third time is different from the fourth time. The first node according to claim 1, characterized in that The first channel information report is generated based on reasoning. The first node according to claim 1 or 2, characterized in that, Whether the first time is equal to the second time or later than the second time depends on the reporting type of the first channel information report, and the reporting type of the first channel information report is one of periodic reporting, aperiodic reporting, semi-persistent reporting or event triggered reporting. The first node according to any one of claims 1 to 3, characterized in that When a first condition is met, the first time is later than the second time; the first condition includes that the first channel information report is triggered by physical layer signaling. The first node according to any of claims 1 to 4, characterized in that The first channel information report is triggered by physical layer signaling, a first physical layer channel carries the physical layer signaling triggering the first channel information report; the first time is at least a first time interval after the first physical layer channel; the second time is the starting time of the first symbol after the first physical layer channel, or the second time is at least a second time interval after the first physical layer channel. The first node according to any of claims 1 to 5, characterized in that Whether the third time is earlier than the fourth time or equal to the fourth time depends on the reporting type of the first channel information report, and the reporting type of the first channel information report is one of periodic reporting, aperiodic reporting, semi-persistent reporting or event triggered reporting. The first node according to any of claims 1 to 6, characterized in that When a second condition is met, the third time is earlier than the fourth time; the second condition includes at least one of that the first channel information report is semi-persistent reporting or that the first channel information report is triggered by physical layer signaling. A second node for wireless communication, characterized in that The method comprises: a second processor sending a first information block; receiving a first channel information report; wherein the first information block is used to configure the first channel information report; the generation of the first channel information report occupies at least one first type of resource and at least one second type of resource; the first channel information report occupies the at least one first type of resource from a first time to a third time, and the first channel information report occupies the at least one second type of resource from a second time to a fourth time; the first time is equal to or later than the second time, and the third time is earlier than or equal to the fourth time; the first time is different from the second time, or the third time is different from the fourth time. A method in a first node used for wireless communication, characterized by The method comprises: receiving a first information block; sending a first channel information report; wherein the first information block is used to configure the first channel information report; The generation of the first channel information report occupies at least one first type of resource and at least one second type of resource; the first channel information report occupies the at least one first type of resource from a first time point until a third time point, and occupies the at least one second type of resource from a second time point until a fourth time point; the first time point is equal to or later than the second time point, and the third time point is earlier than or equal to the fourth time point; the first time point is different from the second time point, or the third time point is different from the fourth time point. A method in a second node used for wireless communication, characterized by Comprise: sending a first information block; receiving a first channel information report; wherein the first information block is used to configure the first channel information report; the generation of the first channel information report occupies at least one first type of resource and at least one second type of resource; the first channel information report occupies the at least one first type of resource from a first time point until a third time point, and occupies the at least one second type of resource from a second time point until a fourth time point; the first time point is equal to or later than the second time point, and the third time point is earlier than or equal to the fourth time point; the first time point is different from the second time point, or the third time point is different from the fourth time point.

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