Method and apparatus in node used for wireless communication

Abstract

The present application provides a method and apparatus in a node used for wireless communication, so as to effectively report a plurality of predicted pieces of beam information. The method comprises: receiving first configuration signaling, the first configuration signaling indicating a first resource set; performing measurement for the first resource set, the first resource set being located on a plurality of first-type time instances; and sending first information, the first information indicating N second-type time instances and a plurality of pieces of second-type beam information. The plurality of first-type time instances are earlier than the N second-type time instances, and N is a positive integer. A measurement result for the first resource set is used for determining the plurality of pieces of second-type beam information. The plurality of pieces of second-type beam information correspond to the N second-type time instances.

Description

Method and apparatus in node for wireless communication TECHNICAL FIELD

[0001] The present application relates to the technical field of communication, and more particularly, to a method and apparatus in node for wireless communication. BACKGROUND

[0002] In some beam management scenarios, a terminal device can predict and report to a network device a downlink transmission beam. For example, the terminal device can predict and report inference results at multiple time instances. The inference result information at each time instance includes at least beam information of K strong beams. In the multiple time instances, the K strong beams at different time instances can be different. In this scenario, how the terminal device reports the inference results at multiple time instances becomes a technical problem to be solved.

[0003] SUMMARY

[0004] Embodiments of the present application provide a method and apparatus in node for wireless communication. The following introduces each aspect of the present application.

[0005] In a first aspect, a method in a first node for wireless communication is provided, comprising: receiving first configuration signaling, the first configuration signaling indicating a first resource set; performing measurement on the first resource set, the first resource set being located on multiple first type time instances; transmitting first information, the first information indicating N second type time instances and multiple second type beam information; wherein the multiple first type time instances are earlier than the N second type time instances, N being a positive integer; a measurement result of the first resource set is used to determine the multiple second type beam information; and the multiple second type beam information corresponds to the N second type time instances.

[0006] In a second aspect, a method in a second node for wireless communication is provided, comprising: determining first configuration signaling, the first configuration signaling indicating a first resource set; performing beam transmission according to the first resource set, the first resource set being located on multiple first type time instances; receiving first information, the first information indicating N second type time instances and multiple second type beam information; wherein the multiple first type time instances are earlier than the N second type time instances, N being a positive integer; a measurement result of the first resource set is used to determine the multiple second type beam information; and the multiple second type beam information corresponds to the N second type time instances.

[0007] In a third aspect, a first node for wireless communication is provided, including: a first transceiver configured to receive first configuration signaling, the first configuration signaling indicating a first set of resources; a first processor configured to perform measurements for the first set of resources, the first set of resources being located on a plurality of first-type time instances; the first transceiver is further configured to transmit first information, the first information indicating N second-type time instances and a plurality of second-type beam information; wherein the plurality of first-type time instances are earlier than the N second-type time instances, N being a positive integer; measurement results for the first set of resources are used to determine the plurality of second-type beam information; the plurality of second-type beam information corresponds to the N second-type time instances.

[0008] In a fourth aspect, a second node for wireless communication is provided, including: a second processor configured to determine first configuration signaling, the first configuration signaling indicating a first set of resources; a second transceiver configured to perform beam transmission according to the first set of resources, the first set of resources being located on a plurality of first-type time instances; the second transceiver is further configured to receive first information, the first information indicating N second-type time instances and a plurality of second-type beam information; wherein the plurality of first-type time instances are earlier than the N second-type time instances, N being a positive integer; measurement results for the first set of resources are used to determine the plurality of second-type beam information; the plurality of second-type beam information corresponds to the N second-type time instances.

[0009] In a fifth aspect, a first node for wireless communication is provided, including a transceiver, a memory and a processor, the memory is configured to store a program, the processor is configured to invoke the program in the memory and control the transceiver to receive or transmit signals, so that the first node performs the method in the first aspect.

[0010] In a sixth aspect, a second node for wireless communication is provided, including a transceiver, a memory and a processor, the memory is configured to store a program, the processor is configured to invoke the program in the memory and control the transceiver to receive or transmit signals, so that the second node performs the method in the second aspect.

[0011] In a seventh aspect, the embodiments of the present application provide a communication system, which includes the first node and / or the second node described above. In another possible design, the system can further include other devices interacting with the first node or the second node in the schemes provided by the embodiments of the present application.

[0012] In an eighth aspect, the embodiments of the present application provide a computer readable storage medium, which stores a computer program, the computer program causing a computer to perform some or all of the steps in the methods in the above aspects.

[0013] In a ninth aspect, an embodiment of the present application provides a computer program product. The computer program product includes a non-transitory computer readable storage medium storing a computer program operable to cause a computer to execute part or all of the steps in the methods of the various aspects described above. In some implementations, the computer program product can be a software installation package.

[0014] In a tenth aspect, an embodiment of the present application provides a chip. The chip includes a memory and a processor. The processor can invoke and run a computer program from the memory to implement part or all of the steps described in the methods of the various aspects described above.

[0015] In an embodiment of the present application, the first node can determine a first resource set located on a plurality of first-type time instances according to the first configuration signaling, and measure the first resource set. Based on the measurement result, the first node can indicate N second-type time instances and corresponding second-type beam information through the transmitted first information. The N second-type time instances are not earlier than any first-type time instance. As can be seen, the first node can predict N second-type time instances based on a plurality of first-type time instances. The first information can facilitate the first node to effectively report the strongest beam information on the predicted plurality of second-type time instances, reduce signaling overhead, and improve resource utilization.

[0016] In an embodiment of the present application, when the plurality of beam information includes predicted signal quality (for example, reference signal received power (RSRP)) information, the first node can also effectively report the quality information corresponding to the strongest beams on the plurality of second-type time instances, which helps to improve resource utilization. BRIEF DESCRIPTION OF DRAWINGS

[0017] FIG. 1 is an example of a system architecture of a wireless communication system to which embodiments of the present application can be applied.

[0018] FIG. 2 is a flowchart of a time-domain beam prediction method to which embodiments of the present application can be applied.

[0019] FIG. 3 is a schematic diagram of time-domain beam prediction based on AI / ML.

[0020] FIG. 4 is a schematic diagram of a possible prediction result of time-domain beam prediction.

[0021] FIG. 5 is a flowchart of a method in a first node for wireless communication according to an embodiment of the present application.

[0022] FIG. 6 is a flowchart of a possible implementation of the method shown in FIG. 5.

[0023] FIG. 7 is a flow diagram of another possible implementation of the method of FIG. 5.

[0024] FIG. 8 is a diagram of a structure of one possible implementation of the first information.

[0025] FIG. 9 is a diagram of a structure of another possible implementation of the first information.

[0026] FIG. 10 is a diagram of a structure of yet another possible implementation of the first information.

[0027] FIG. 11 is a diagram of a structure of yet another possible implementation of the first information.

[0028] FIG. 12 is a diagram of a structure of yet another possible implementation of the first information.

[0029] FIG. 13 is a diagram of a structure of yet another possible implementation of the first information.

[0030] FIG. 14 is a diagram of a structure of a first node for wireless communication provided by embodiments of the present application.

[0031] FIG. 15 is a diagram of a structure of a second node for wireless communication provided by embodiments of the present application.

[0032] FIG. 16 is a diagram of a structure of an apparatus provided by embodiments of the present application.

[0033] FIG. 17 is a diagram of a hardware module of a communication device provided by embodiments of the present application. DETAILED DESCRIPTION

[0034] Communication system architecture

[0035] FIG. 1 is an example diagram of a system architecture of a wireless communication system 100 to which embodiments of the present application can be applied. The wireless communication system 100 can include a network device 110 and a terminal device 120. The network device 110 can be a device that communicates with the terminal device 120. The network device 110 can provide communication coverage for a specific geographic area and can communicate with the terminal device 120 located in the coverage area.

[0036] FIG. 1 exemplarily shows one network device and two terminal devices. Alternatively, the wireless communication system 100 can include a plurality of network devices and each network device can include other numbers of terminal devices in its coverage, which is not limited in the embodiments of the present application.

[0037] Alternatively, the wireless communication system 100 can further include a network controller, a mobile management entity, and other network entities, which are not limited in the embodiments of the present application.

[0038] It should be understood that the technical solutions of the embodiments of the present application can be applied to various communication systems, for example: a 5th generation (5G) system or a new radio (NR) system, a long term evolution (LTE) system, an LTE frequency division duplex (FDD) system, an LTE time division duplex (TDD) system, and the like. The technical solutions provided in the present application can also be applied to future communication systems, such as a 6th generation mobile communication system, a satellite communication system, and the like.

[0039] The terminal device in the embodiments of the present application can also be referred to as a user equipment (UE), an access terminal, a user unit, a user station, a mobile station, a mobile station (MS), a mobile terminal (MT), a remote station, a remote terminal, a mobile device, a user terminal, a terminal, a wireless communication device, a user agent, or a user apparatus. The terminal device in the embodiments of the present application can refer to a device that provides voice and / or data connectivity for a user, and can be used to connect people, things, and machines, such as handheld devices with wireless connection functions, vehicle-mounted devices, and the like. The terminal device in the embodiments of the present application can be a mobile phone, a tablet computer (Pad), a notebook computer, a palm computer, a mobile internet device (MID), a wearable device, a virtual reality (VR) device, an augmented reality (AR) device, a wireless terminal in industrial control, a wireless terminal in self driving, a wireless terminal in remote medical surgery, a wireless terminal in smart grid, a wireless terminal in transportation safety, a wireless terminal in smart city, a wireless terminal in smart home, and the like. Optionally, the terminal device can be used to act as a base station. For example, the terminal device can act as a scheduling entity that provides sidelink signals between UEs in vehicle-to-everything (V2X) or device-to-device (D2D), and the like. For example, a cellular phone and a car communicate with each other using sidelink signals. The cellular phone and the smart home device communicate with each other without relaying the communication signals through the base station.

[0040] The network device in the embodiments of the present application can be a device for communicating with a terminal device, which can also be referred to as an access network device or a radio access network device, such as a base station (BS). The network device in the embodiments of the present application can refer to a radio access network (RAN) node (or device) that accesses a user equipment to a wireless network. The base station can broadly cover various names in the following or be replaced by the following names, such as: Node B (NodeB), evolved Node B (eNB), next generation Node B (gNB), relay station, transmitting and receiving point (TRP), transmitting point (TP), master station (MeNB), secondary station (SeNB), multi-standard radio (MSR) node, home base station, network controller, access node, wireless node, access point (AP), transmission node, transceiver node, baseband unit (BBU), remote radio unit (RRU), active antenna unit (AAU), remote radio head (RRH), central unit (CU), distributed unit (DU), positioning node, etc. The base station can be a macro base station, a micro base station, a relay node, a donor node, or the like, or a combination thereof. The base station can also refer to a communication module, modem, or chip for being disposed in the foregoing devices or apparatuses. The base station can also be a mobile switching center and a device assuming a base station function in D2D, V2X, machine-to-machine (M2M) communication, a network side device in a 6G network, a device assuming a base station function in a future communication system, etc. The base station can support networks of the same or different access technologies. The embodiments of the present application do not limit the specific technology and specific device form adopted by the network device.

[0041] The base station can be fixed or mobile. For example, a helicopter or a drone can be configured to act as a mobile base station, and one or more cells can move according to the location of the mobile base station. In other examples, the helicopter or the drone can be configured to act as a device that communicates with another base station.

[0042] In some deployments, the network device in the embodiments of the present application can refer to a CU or a DU, or the network device includes a CU and a DU. The gNB can also include an AAU.

[0043] The network device and the terminal device can be deployed on land, including indoor or outdoor, handheld or vehicle-mounted; can also be deployed on water surface; can also be deployed on aircraft, balloons and satellites in the air. The scenarios in which the network device and the terminal device are located are not limited in the embodiments of the present application.

[0044] It should be understood that all or part of the functions of the communication device in the present application can also be implemented by software functions running on hardware, or by virtualized functions instantiated on a platform (such as a cloud platform).

[0045] It should be understood that the explanation of the terminology in the embodiments of the present application can refer to the specification protocols TS36 series, TS37 series and TS38 series of the 3rd generation partnership project (3GPP), but can also refer to the specification protocols of the Institute of Electrical and Electronics Engineers (IEEE).

[0046] In order to facilitate understanding, some related technical knowledge related to the embodiments of the present application is introduced first. The following related technologies can be combined with the technical solutions of the embodiments of the present application as optional schemes, which all belong to the protection scope of the embodiments of the present application. The embodiments of the present application include at least part of the following contents.

[0047] Beam management

[0048] With the development of communication technology, the application range of aritifical intelligence (AI) / machine learning (ML) technology in communication scenarios is increasingly expanding. For example, the 3GPP Release-18 (Rel-18) has begun to study the application of AI / ML technology in the NR air interface (also known as air interface), and formed a research report TR38.843. The report defines three typical use cases, including: channel state information (CSI) feedback enhancement, beam management (BM) and positioning accuracy enhancement.

[0049] To promote the application of AI / ML techniques, 3GPP officially started the standardization work of AI / ML techniques for NR air interface in Rel-19 through the proposal RP-240774. Exemplarily, the standardization work of beam management includes prediction for downlink transmit beam (DL Tx beam). Exemplarily, the training and prediction of AI / ML model can be located at the UE / terminal device side, i.e., UE-side model. Exemplarily, the training and prediction of AI / ML model can be located at the network (NW) side, i.e., NW-side model.

[0050] As an example, beam management mainly includes two sub-use cases: spatial-domain beam management and temporal-domain beam management. Spatial-domain beam management, i.e., BM-Case1, mainly performs spatial-domain downlink beam prediction for Set A of beams based on the measurement results of Set B of beams. Temporal-domain beam management, i.e., BM-Case2, mainly performs temporal downlink beam prediction for Set A of beams based on the historical measurement results of Set B of beams.

[0051] As an example, Set B is a set of beams, the measurement results of which are used as the input of AI / ML model. Set A is also a set of beams, and the output of AI / ML model is the prediction for Set A. The beams in Set A and Set B can be in the same frequency range.

[0052] As an example, the related report (e.g., TR 38.843) makes the following recommendations for the application of AI / ML in BM-Case2.

[0053] Recommendation 1: Set A and Set B need to consider the application of three relationships. Relationship 1 is that Set A and Set B are different, and Set B is not a subset of Set A. Relationship 2 is that Set A and Set B are different, and Set B is a subset of Set A. Relationship 3 is that Set A and Set B are the same.

[0054] Proposal 2: As the input of the AI / ML model, K (K≥1) latest measurement instances need to consider the following multiple choices. Choice 1 is to determine the model input based only on Set B layer 1 reference signal received power (L1-RSRP) measurement. Choice 2 is to determine the model input based on Set B L1-RSRP measurement and auxiliary information. Choice 3 is to determine the model input based on Set B L1-RSRP measurement and corresponding downlink transmission beam and / or reception beam identity (ID). It can be seen that the input of the AI / ML model must include the Set B L1-RSRP measurement result.

[0055] Proposal 3: Based on the output of the AI / ML model, F predictions for F future time instances (also referred to as time instances) can be obtained. Each prediction corresponds to a time instance, and F is greater than or equal to 1.

[0056] Optionally, the temporal beam prediction process can include two stages: an observation phase and a prediction phase. The observation phase can also be referred to as an observation window or an observation period. The prediction phase can also be referred to as a prediction window or a prediction period.

[0057] To facilitate understanding, the temporal beam prediction method in the BM-Case2 scenario is exemplarily described below in combination with FIG. 2 and FIG. 3. It should be understood that the embodiments of the present application are only discussed taking the BM-Case2 scenario as an example. In other words, the technical solutions in the embodiments of the present application are not limited to the BM-Case2 scenario, but can also be applied to the BM-Case1 scenario.

[0058] FIG. 2 is a flowchart of a method of temporal beam prediction by L1-RSRP according to an embodiment of the present application. FIG. 3 is a schematic diagram of temporal beam prediction based on AI / ML. The method shown in FIG. 2 can be used to predict future transmission and reception beams at the base station side (gNB / BS) and / or the user side. The beam prediction model (for example, AI / ML model) in FIG. 2 and FIG. 3 can be implemented at the base station side, or the user side, or both the base station and the user side.

[0059] Referring to FIG. 2, at step S210, the base station 201 performs beam sweeping to the terminal device 202. The beam can be a CSI beam or a synchronization signal block (SSB) beam. The SSB can also be used to represent a synchronization signal and physical broadcast channel block (SS / PBCH block). In step S210, the base station 201 can perform full / partial CSI / SSB beam sweeping.

[0060] At step S220, the terminal device 202 sends RSRP feedback to the base station 201.

[0061] At step S230, steps S210 and S220 are repeated for T1 time intervals.

[0062] At step S240, a beam prediction function is performed.

[0063] At step S250, the base station 201 transmits to the terminal device 202 with predicted beams and repeats in a prediction window.

[0064] Steps S210 to S230 in FIG. 2 belong to an observation phase, in which the base station 201 can receive T1 RSRP vectors. Steps S240 and S250 belong to a prediction phase. For example, the base station 201 in this phase can predict T2 best beams. The base station 201 and the terminal device 202 can repeat the observation and prediction window.

[0065] FIG. 3 is a schematic diagram of time-domain beam prediction based on an AI / ML model. FIG. 3 takes time axis as the horizontal axis. For the device where the AI / ML model is located, the observation window can collect a plurality of measurement values related to the beam set of Set B as input values of the AI / ML model. The AI / ML model can output a plurality of predicted values within the prediction window for the beam set of Set A. The plurality of predicted values can be used to determine the best beam indexes.

[0066] As shown in FIG. 3, T1 measurement values, x <0> , x <1> , …, x <t1-1>< / t1-1> , can be collected within the observation window. The T1 measurement values as input of the AI / ML model can output T2 predicted values within the prediction window, respectively Based on the T2 predicted values, the best beam indexes can be obtained.

[0067] As can be seen from FIG. 2 and FIG. 3, in the observation phase, T1 measurement results (such as L1-RSRP) measured by the beam set of Set B within the observation window are collected and input to the AI / ML model. In the prediction phase, the AI / ML model can generate T2 predicted results (such as L1-RSRP) within the prediction window for the beam set of Set A. These predicted results are used to infer the best beam or the best set of beams.

[0068] It should be noted that when the AI / ML model is located at the terminal device side (UE side), the terminal device can directly input the collected measurement results to the AI / ML model for prediction, without having to report a large number of measurement results, thereby saving resource overhead. However, the inference results of the UE side model still need to be reported to the network or base station. The reporting content of the model inference results has reached a preliminary consensus.

[0069] Exemplarily, according to the consensus reached at 3GPP RAN1#116 and RAN#116bis: in the spatial domain beam management (BM-Case1) scenario, the reporting content of the inference results of the UE side AI / ML model includes the following options.

[0070] Option one: the reporting content includes beam information of the top K (K≥1) strong beams in Set A.

[0071] Option 2: The reporting content includes beam information and RSRP of Top-K beams in Set A.

[0072] Further study Option 3: The reporting content includes beam information and probability information of Top-K beams in Set A.

[0073] Further study Option 4: The reporting content includes beam information, RSRP and confidence information of RSRP of Top-K beams in Set A.

[0074] Wherein, the predicted RSRP of Top-K beams can be the predicted RSRP output by the AI / ML, or is the measured L1-RSRP.

[0075] Exemplarily, according to the consensus reached at the 3GPP RAN1#116bis meeting: in the time-domain beam management (BM-Case2) scenario, the reporting content based on the inference result of the UE-side AI / ML model supports multiple implementation modes. For example, it is supported to include the inference result for N (N≥1) future time instances in one inference result report. For another example, the inference result information on each time instance is an inference report in the spatial-domain beam management (BM-Case1), that is, the inference result information on each time instance at least includes the beam information of Top-K beams. For another example, the RSRP of the predicted beam in the inference result report is the predicted RSRP output by the UE-side AI / ML model.

[0076] From the above, the terminal device can predict the inference result on multiple time instances and report. The inference result information on each time instance at least includes the beam information of K strong beams (Top-K beams). In multiple time instances, the K strong beams on different time instances can be different.

[0077] For ease of understanding, one possible prediction result of time-domain beam prediction is exemplarily described below in combination with FIG. 4. FIG. 4 shows N time instances for M beams. The M beams are beam #1, beam #2, …, beam #M, and the N time instances are time instance #1, time instance #2, …, time instance #N. In the prediction window, the prediction result of each time instance includes a predicted beam in the M beams. The beams in the M beams other than the predicted beam belong to the beams in the beam set A.

[0078] Referring to FIG. 4, it is assumed that Top-K beams will be predicted on each of the N time instances. ibeams, where i = 1, …, N. The Top-K1 beams in time instance #1 in FIG. 4 include beams #1 to #3, and the Top-K2 beams in time instance #2 do not include beam #1, and the Top-K N beams do not include beam #1. It can be seen that the predicted beams in time instance #1 are different from the predicted beams in time instance #2 and time instance #N.

[0079] In this scenario, how the terminal device reports the inference result becomes a technical problem to be considered. For example, in the scenario of predicting time-domain downlink beams based on a UE-side AI / ML model, how to effectively report the multiple strong beam information on multiple time instances needs to be considered.

[0080] For example, when the Top-K i beams on at least two time instances are different, how to report the different Top-K i beams, and how to establish a corresponding relationship between the N time instances and the N Top-K i beams in the inference result report are problems to be solved urgently.

[0081] In addition, in the scenario of predicting time-domain downlink beams based on a UE-side AI / ML model, how to effectively report the multiple strong beam information and corresponding RSRP information on multiple time instances needs to be considered.

[0082] For example, if the output of the UE-side AI / ML model has a corresponding RSRP prediction value for each beam on the N time instances, how to effectively report these RSRP prediction values and how to establish a corresponding relationship with the N Top-K i beams also need to be considered.

[0083] To solve the above problems, an embodiment of the present application provides a method and device in a node for wireless communication. The first node (for example, a UE) in the method can measure a first resource set located on a first type of time instance according to a first configuration signaling. After the first node predicts according to the measurement result, the first node can send N second type of time instances and multiple second type of beam information through first information. It can be seen that the first information indicates multiple time instances and corresponding multiple beam information, so that the multiple strong beam information and / or corresponding RSRP information on multiple time instances can be effectively reported, signaling overhead is reduced, and resource utilization efficiency is improved.

[0084] It should be understood that the reporting method of the prediction result based on the UE-side AI / ML model mentioned above is not only applicable to the scenario of time domain beam management, but also applicable to the scenario of space domain beam management. In addition, although the present application mainly discusses the UE-side model, the scheme in the present application is not limited to the UE-side model, but can also be used for the NW-side model, or can also be used for the UE-side and NW-side double-side model.

[0085] It should be noted that the beam mentioned in the embodiments of the present application can include or replace at least one of the following: physical beam, logical beam, spatial filter, spatial parameter, spatial domain filter, spatial domain transmission filter, spatial domain reception filter, and antenna port.

[0086] The method embodiment of the present application will be described in detail below in combination with the drawings. FIG. 5 is a flowchart of a method in a first node for wireless communication according to an embodiment of the present application. As shown in FIG. 5, the method is performed by the first node.

[0087] As an embodiment, the first node can be a network-controlled repeater (NCR).

[0088] As an embodiment, the first node can be a terminal device, for example, the terminal device 120 shown in FIG. 1.

[0089] As an embodiment, the first node can be a relay, such as a relay terminal.

[0090] As an embodiment, the first node can be deployed with an AI / ML model to perform time domain beam prediction or space domain beam prediction. When the AI / ML model is a UE-side model, the first node can be a UE; when the AI / ML model is a network-side model, the first node can be a base station.

[0091] The method shown in FIG. 5 includes steps S510 to S530, which will be described below.

[0092] At step S510, the first node receives the first configuration signaling. The first node can receive the first configuration signaling in various manners. In some embodiments, the first node can receive the first configuration signaling configured by a higher layer. For example, the first node can determine the first configuration signaling based on the configuration information of the higher layer. In some embodiments, the first node can directly receive the first configuration signaling sent by the second node.

[0093] As an embodiment, the first configuration signaling is configured by a higher layer. The higher layer can be a radio resource control (RRC) layer, a media access control (MAC) layer, etc., which is not limited herein. As an embodiment, the first configuration signaling comprises higher layer signaling. As an embodiment, the first configuration signaling comprises RRC layer signaling. For example, the first configuration signaling is RRC layer signaling. As an embodiment, the first configuration signaling comprises MAC layer signaling. For example, the first configuration signaling is MAC layer signaling.

[0094] As an embodiment, the second node can be a network device, for example, the network device 110 shown in FIG. 1.

[0095] As an embodiment, the second node can be another terminal device which performs sidelink communication with the first node.

[0096] In some embodiments, the first node can determine the manner of receiving the first configuration signaling based on pre-configuration or dynamic configuration.

[0097] The first configuration signaling is used to indicate a first resource set. Any resource in the first resource set can be a time domain resource, a frequency domain resource, or a space domain resource, or a combination of multiple resources, which is not limited herein.

[0098] In some embodiments, part or all of the resources in the first resource set are used for signal transmission. The signal transmitted by the first resource set can be an uplink signal, a downlink signal, or a sidelink signal.

[0099] As an embodiment, the first resource set comprises multiple resources, and the multiple resources are used to transmit a downlink signal. For example, the multiple resources in the first resource set are used for the network device to send a downlink signal to the terminal device. As a sub-embodiment of the above embodiment, the downlink signal comprises at least one of a synchronization signal / physical broadcast channel block (SSB), a channel state information-reference signal (CSI-RS), and a demodulation reference signal (DMRS).

[0100] As an embodiment, the first resource set comprises a plurality of resources for downlink transmission beam sweeping. For example, the plurality of resources in the first resource set can be used to perform step S210 in FIG. 2. As an embodiment, any of the plurality of resources in the first resource set comprises a plurality of resource elements (REs).

[0101] As a sub-embodiment of the above-mentioned embodiment, the downlink signals are transmitted by means of beam sweeping. For example, the second node can transmit a plurality of beams carrying downlink signals, i.e., downlink transmission beam sweeping, on the first resource set. The first node can receive these downlink transmission beams on the first resource set. The beams transmitting the downlink signals can be some or all of the beams in the beam set B.

[0102] In some embodiments, the measurement results of the first resource set are used for predicting future beams, and the first resource set is used for transmission of the preceding beams.

[0103] The first resource set can be located on a plurality of first-type time instances, that is, the first resource set can comprise time-domain resources corresponding to the plurality of first-type time instances. For example, the plurality of first-type time instances are used for transmission of downlink signals.

[0104] As an embodiment, the first resource set comprises the plurality of first-type time instances.

[0105] As an embodiment, the time-domain resources occupied by the first resource set comprise the plurality of first-type time instances.

[0106] As an embodiment, the beams used for transmission of the downlink signals on the plurality of first-type time instances are beams in Set B.

[0107] In some embodiments, the first-type time instances can be time-domain resources satisfying certain conditions. For example, the first-type time instances can be a plurality of time units in a first time period before beam prediction is performed. For another example, the first-type time instances are time units for transmission of predicted beams. The time units can be one or more slots, or one or more symbols, which will be exemplarily described in combination with second-type time instances. As an embodiment, the plurality of first-type time instances are respectively a plurality of time slots.

[0108] In some embodiments, in a scenario of time-domain beam management, a plurality of downlink transmission beams are transmitted by means of a plurality of time-domain resources in the first resource set. The plurality of time-domain resources can comprise a plurality of partially continuous or wholly continuous time instances. That is, the plurality of first-type time instances are partially continuous or wholly continuous in the time domain, so as to collect measurement results in time.

[0109] As an embodiment, the plurality of first-type time instances are continuous in time.

[0110] In some embodiments, the plurality of first-type time instances are discontinuous in time domain. For example, the plurality of first-type time instances are distributed in time domain based on a certain rule. For another example, the plurality of first-type time instances are randomly distributed in time domain.

[0111] As an embodiment, at least two adjacent first-type time instances in the plurality of first-type time instances are discontinuous in time.

[0112] It should be understood that, in the embodiments of the present application, the time instance can also be replaced by any time unit or any size of time domain resource. The any time unit can be a time slot, a symbol, or a specified time period.

[0113] In some embodiments, the plurality of resources in the first resource set can be determined according to the second configuration signaling. That is, the first node can receive the second configuration signaling, thereby determining the plurality of resources in the first resource set. Exemplarily, the second configuration signaling can indicate a plurality of first-type beam information, and the plurality of resources in the first resource set are associated with the plurality of first-type beam information.

[0114] As an embodiment, the second configuration signaling includes a plurality of transmission configuration indicator (TCI) state configurations. The TCI state configuration is used to indicate the plurality of first-type beam information, so as to determine the plurality of measured resources.

[0115] As an embodiment, the second configuration signaling includes at least one TCI. As an embodiment, the second configuration signaling includes at least one TCI state. As an embodiment, the second configuration signaling includes at least one TCI state identifier. As an embodiment, the second configuration signaling includes at least one downlink signal.

[0116] As an embodiment, the second configuration signaling includes at least one quality of service class identifier (QCL) type. As an embodiment, the second configuration signaling includes at least one downlink signal and a corresponding QCL type.

[0117] As an embodiment, the beam information of the preceding beams of the future multiple beams can be referred to as first type beam information. These preceding beams are used by the first node to predict one or more beams corresponding to N second type time instances respectively. Illustratively, the first node can determine a first resource set or multiple resources in the first resource set for measurement based on the multiple first type beam information.

[0118] As an embodiment, the multiple first type beam information is beam information in a beam set B (Set B).

[0119] As an embodiment, the multiple first type beam information is partial beam information in Set B.

[0120] As an embodiment, the multiple first type beam information is different from the multiple second type beam information.

[0121] As an embodiment, the multiple first type beam information is a subset of the multiple second type beam information.

[0122] As an embodiment, the multiple first type beam information is not a subset of the multiple second type beam information.

[0123] As an embodiment, the multiple first type beam information is the same as the multiple second type beam information.

[0124] As an embodiment, the multiple first type beam information is used to train a UE-side AI / ML model.

[0125] In some embodiments, any of the multiple first type beam information is one or more of: beam identity or beam index; channel state information-reference signal (CSI-RS) resource indication; synchronization signal / physical broadcast channel block resource indication; transmission configuration indication (TCI); transmission configuration indication state (TCI state); downlink TCI state (DL TCI state); uplink TCI state (UL TCI state); TCI state identity (TCI status ID).

[0126] As an embodiment, the first type of beam information can be a beam identity / identifier (beam ID) / beam index. As an embodiment, the first type of beam information can be a channel state information-reference signal resource indicator (CSI-RSRI, CRI). As an embodiment, the first type of beam information can also be a synchronization signal / physical broadcast channel block resource indicator (SSBRI). As an embodiment, the CSI-RSRI / SSBRI in the first type of beam information can be used to indirectly indicate the downlink transmission beam adopted by the CSI-RS / SSB for input AI / ML model training. As an embodiment, the first type of beam information can be a transmission configuration indication or related information of the transmission configuration indication.

[0127] As an embodiment, at least two of the plurality of first type of beam information are the same.

[0128] As an embodiment, any two of the plurality of first type of beam information are different.

[0129] In some embodiments, the plurality of resources in the first resource set are respectively associated with the plurality of first type of beam information can include that the plurality of resources in the first resource set are respectively used for wireless signals transmitted using the plurality of first type of beam information corresponding to the plurality of first type of beam. Exemplarily, a plurality of measurement results on the first resource are collected and used for training the first model in the model training stage, or used for inferring the output of the first model in the model inference stage.

[0130] As an embodiment, the plurality of beams used by the wireless signals transmitted on the plurality of resources in the first resource set respectively correspond to the plurality of first type of beam information. As an embodiment, the plurality of downlink transmission beams used on the plurality of resources in the first resource set correspond one-to-one to the plurality of first type of beam information.

[0131] As an embodiment, the second configuration signaling can further indicate a plurality of resources in the first resource set associated with the plurality of first type beam information. For example, the second configuration signaling can indicate a plurality of beams corresponding to the plurality of first type beam information through information of the plurality of resources in the first resource set. For another example, the second configuration signaling can indicate the plurality of resources in the first resource set associated with the plurality of first type beam information through the plurality of first type beam information.

[0132] As an embodiment, the plurality of first type beam information can indicate the plurality of resources in the first resource set, so as to facilitate the first node to collect measurement results on the plurality of resources in the first resource set, and train the measurement results.

[0133] In some embodiments, the first node can receive the second configuration signaling in a plurality of ways. As an implementation, the first node can receive the second configuration signaling configured by a higher layer. For example, the first node can determine the second configuration signaling based on configuration information of the higher layer. As another implementation, the first node can directly receive the second configuration signaling sent by the second node.

[0134] As an embodiment, the second configuration signaling is configured by a higher layer. As an embodiment, the second configuration signaling comprises higher layer signaling. As an embodiment, the second configuration signaling comprises RRC layer signaling. As an embodiment, the second configuration signaling comprises MAC layer signaling.

[0135] In some embodiments, when the second configuration signaling and the first configuration signaling are received in the same way, the first configuration signaling and the second configuration signaling can belong to the same type of signaling, or belong to different types of signaling.

[0136] As an embodiment, the first configuration signaling and the second configuration signaling belong to the same signaling. Illustratively, the first configuration signaling and the second configuration signaling belong to the same higher layer signaling. Illustratively, the first configuration signaling and the second configuration signaling belong to the same RRC layer signaling.

[0137] As an embodiment, the first configuration signaling and the second configuration signaling belong to two different signalings respectively. Illustratively, the first configuration signaling and the second configuration signaling belong to two different higher layer signalings respectively. Illustratively, the first configuration signaling and the second configuration signaling belong to two different RRC layer signalings respectively. Illustratively, the first configuration signaling and the second configuration signaling belong to two different MAC layer signalings respectively. Illustratively, the first configuration signaling belongs to RRC layer signaling and the second configuration signaling belongs to MAC layer signaling. Illustratively, the first configuration signaling belongs to MAC layer signaling and the second configuration signaling belongs to RRC layer signaling.

[0138] In step S520, the first node performs measurement on the first resource set.

[0139] The measurement on the first resource set comprises measurement on part or all of the resources in the first resource set. That is, the first node can measure on any one resource in the first resource set, or measure on any multiple resources in the first resource set, or measure on all the resources in the first resource set when measuring on the first resource set.

[0140] In some embodiments, when multiple resources in the first resource set are used to transmit the downlink signal, the measurement on the first resource set comprises measurement on the downlink signal carried on the multiple resources.

[0141] As an embodiment, the measurement result on the first resource set comprises measurement results on the multiple resources in the first resource set. As an embodiment, the measurement result on the first resource set comprises measurement results on the downlink signal. As an embodiment, the measurement result on the first resource set comprises measurement results on the downlink signal transmitted on the multiple resources.

[0142] As an embodiment, the multiple first-type time instances are located in a measurement window. That is, the multiple first-type time instances are located in a measurement window of beam prediction, so as to collect the measurement results.

[0143] In some embodiments, the measurement result on the first resource set can comprise multiple parameters representing signal quality. For example, the measurement result can comprise one or more values of RSRP, reference signal received quality (RSRQ), signal to interference plus noise ratio (SINR), received signal strength indication (RSSI), etc., which are not limited herein. As an embodiment, the measurement result on the first resource set comprises RSRP value.

[0144] In some embodiments, the measurement result on the first resource set comprises measurement results of different layers. The measurement results of different layers can be measurement results of layer 1 or measurement results of layer 3 (L3). As an embodiment, the measurement result on the first resource set comprises L1-RSRP value. As an embodiment, the measurement result on the first resource set comprises L3-RSRP value.

[0145] In some embodiments, the measurement results for the first resource set can be used to predict beams after the time-domain resources corresponding to the first resource set. Illustratively, when multiple resources in the first resource set are used for downlink transmission beams, the measurement results of these downlink transmission beams can be used by the first node or other nodes to predict future downlink transmission beams.

[0146] In some embodiments, when multiple resources in the first resource set are used for beams in beam set B, the measurement results can include current measurement results of beam set B, or can include historical measurement results. When the measurement results are current measurement results, the time-domain resources included in the first resource set are adjacent or relatively close to the time-domain location of the time-domain resources where the predicted beams are located. When the measurement results are historical measurement results, the first resource set can include multiple time-domain resources with a relatively large time span.

[0147] As an example, the measurement results for the first resource set are measurement results for downlink signals transmitted using multiple first-type beams on multiple first-type time instances. As an example, the measurement results for the first resource set are measurement results for downlink signals transmitted using multiple beams in beam set B on multiple resources included in the first resource set.

[0148] As an example, the measurement results for the first resource set are measurement results for downlink signals transmitted using beams in beam set B on multiple first-type time instances. As an example, the measurement results for the first resource set are measurement results for downlink signals transmitted using beams in beam set B on multiple resources included in the first resource set.

[0149] As an example, the measurement results for the first resource set are measurement results for multiple downlink signals transmitted on multiple first-type time instances, the multiple downlink signals being respectively transmitted using multiple first-type beams.

[0150] As an example, the measurement results for the first resource set are measurement results for multiple downlink signals transmitted on multiple resources included in the first resource set, the multiple downlink signals being respectively transmitted using multiple beams in beam set B.

[0151] As an example, historical measurement results based on beam set B (Set B) are used to predict downlink beams in Set A.

[0152] In some embodiments, the first node can predict future beams through a first model. The first model can be an AI / ML model.

[0153] In some embodiments, the first model is used to determine the plurality of second type beam information. Illustratively, the measurement results for the first resource set are used by the first model to determine the plurality of second type beam information.

[0154] As one embodiment, the measurement results for the first resource set are inputs to the first model.

[0155] As one embodiment, the measurement results for the first resource set correspond to the plurality of first type beams.

[0156] As one embodiment, the measurement results for the first resource set correspond to the Set B of beams.

[0157] As one embodiment, the measurements based on the plurality of first type beams are inputs to the first model.

[0158] As one embodiment, the measurement results based on the plurality of first type beams are inputs to the first model.

[0159] As one embodiment, the measurements based on the Set B of beams are inputs to the first model.

[0160] As one embodiment, the measurement results based on the Set B of beams are inputs to the first model.

[0161] As one embodiment, the output of the first model includes the plurality of second type beam information.

[0162] As one embodiment, the output of the first model includes beam information in Set A of beams.

[0163] As one embodiment, the output of the first model includes predicted values of RSRP for the plurality of second type beams.

[0164] As one embodiment, the output of the first model includes predicted values of RSRP for the plurality of second type beams.

[0165] As one embodiment, the output of the first model includes predicted values of L1-RSRP for the plurality of second type beams.

[0166] As one embodiment, the output of the first model includes predicted values of L1-RSRP for the plurality of second type beams.

[0167] As one embodiment, the plurality of second type beam information is the output of the first model.

[0168] As one embodiment, the plurality of RSRP values of the plurality of second type of beams are outputs of the first model.

[0169] As one embodiment, the first model comprises an AI model. As one embodiment, the first model is an AI model.

[0170] As one embodiment, the first model comprises an ML model. As one embodiment, the first model is an ML model.

[0171] As one embodiment, the first model comprises an AI / ML model. As one embodiment, the first model is an AI / ML model.

[0172] As one embodiment, the first model is located at the first node. As one embodiment, the first model is located at a UE. As one embodiment, the first model comprises a UE-side model. As one embodiment, the first model is a UE-side model. As one embodiment, the first model comprises a UE-side AI / ML model. As one embodiment, the first model is a UE-side AI / ML model.

[0173] As one embodiment, the first model is located at the second node. As one embodiment, the first model is located at a base station / gNB / network side. As one embodiment, the first model comprises a network-side model. As one embodiment, the first model is a network-side model. As one embodiment, the first model comprises a network-side AI / ML model. As one embodiment, the first model is a network-side AI / ML model.

[0174] As one embodiment, the first model can be equivalent to at least one of a first entity, a first functionality, a first AI / ML model, a first AI / ML functionality.

[0175] As one embodiment, the first model is used for inference. As one embodiment, the first model is used for inference steps of beam management. As one embodiment, the first model is used for beam prediction.

[0176] As an embodiment, the first model is used to determine the plurality of second type beam information. As an embodiment, the first model is used to determine the plurality of second type beam information and a plurality of RSRP values of the plurality of second type beams. As an embodiment, the measurement results for the first resource set are used by the first model to determine the plurality of second type beam information.

[0177] As an embodiment, the first model comprises at least one of supervised learning, unsupervised learning, self-supervised learning, reinforcement learning, and federated learning.

[0178] As an embodiment, the first model comprises a generative model. As an embodiment, the first model comprises a neural network (NN). As an embodiment, the first model comprises at least one of a feedforward NN (FNN), a convolutional NN (CNN), a recurrent NN (RNN), a long short-term memory (LSTM) network, a self-attention mechanism, and a Transformer model.

[0179] As an embodiment, the first model comprises forward propagation, loss function calculation, and back propagation.

[0180] In some embodiments, the first node can predict beams through an AI / ML model. As described above, the AI / ML model can be a UE-side (terminal device-side) AI / ML model or a network-side AI / ML model, and can also be a double-sided model, which is not limited here.

[0181] In some embodiments, when the first node is a UE, the UE-side AI / ML model can be deployed on the UE or a UE-related device.

[0182] As an embodiment, in time-domain beam management, the UE-side AI / ML model can perform RSRP prediction of future beams according to L1-RSRP measurement values based on beams in a beam set B at previous T1 time instances.

[0183] In some embodiments, the plurality of first-type beam information input to the first model can be a plurality of first-type beams and their measurement values; and the plurality of second-type beam information output from the first model can be a plurality of second-type beams and their predicted values. Wherein, the plurality of first-type beams and the plurality of second-type beams can be the same or different, which will be exemplarily explained in combination with FIG. 6 and FIG. 7.

[0184] As an example, the plurality of first-type beams are used for the first resource set. As an example, a signal transmitted on the first resource set adopts the plurality of first-type beams. As an example, the plurality of first-type beams belong to a beam set B. As an example, the plurality of first-type beams is the beam set B. As an example, the plurality of first-type beams is a subset of the beam set B. As an example, the beam set B includes a plurality of beams, and any first-type beam in the plurality of first-type beams is one beam in the beam set B.

[0185] As an example, the plurality of second-type beams belong to a beam set A. As an example, the plurality of second-type beams is the beam set A. As an example, the plurality of second-type beams is a subset of the beam set A. As an example, the beam set A includes a plurality of beams, and any second-type beam in the plurality of second-type beams is one beam in the beam set A.

[0186] As an example, the beam set B is a set of beams for measurement. As an example, the beam set A is a set of beams to be predicted. As an example, the plurality of first-type beams are beams to be measured. As an example, the plurality of second-type beams are beams to be predicted.

[0187] In step S530, the first node transmits the first information. Exemplarily, the first node can transmit the first information to the second node.

[0188] As an example, when the first node is a UE, the first node can report the first information to a base station or a gNB.

[0189] In some embodiments, the first information can be one or more of the following information: a MAC control element (MAC CE), uplink control information (UCI) or downlink control information (DCI), and an RRC information element (RRC IE).

[0190] As an embodiment, the first information can be a MAC CE, a DCI, an RRC IE, or a combination of at least two of the three types of signaling. As an embodiment, the first information can be a L1 information, e.g., a UCI. As an embodiment, the first information comprises at least one MAC CE.

[0191] In some embodiments, the first information can be configured or indicated by a higher layer. As an example, the first node can send the first information to the second node based on a higher layer signaling. As an embodiment, the first information is configured by a higher layer signaling. As an embodiment, the first information belongs to a higher layer signaling. As an embodiment, the first information belongs to an RRC layer signaling. As an embodiment, the first information belongs to a MAC layer signaling.

[0192] The first information can indicate N second-type time instances, where N is a positive integer. In time-domain beam management, the N second-type time instances can be N future time instances. In some embodiments, the N second-type time instances can be N time units. The time unit can be one or more slots, or one or more symbols, without limitation.

[0193] As an embodiment, the N second-type time instances are N slots, respectively.

[0194] In some embodiments, in a scenario of time-domain beam management, the N second-type time instances can be N consecutive time units, or N non-consecutive time units, to meet the actual needs of different application scenarios.

[0195] As an embodiment, the N second-type time instances are consecutive in time. As an embodiment, at least two adjacent second-type time instances among the N second-type time instances are non-consecutive in time.

[0196] As an embodiment, the N second-type time instances are located within a prediction window. That is, the N second-type time instances are located within a prediction window of beam prediction, so as to determine the transmission resource of the predicted future beam.

[0197] In some embodiments, the N second-type time instances are located later in time domain than the time domain locations of the multiple first-type time instances, so as to collect the measurement results of the multiple first-type time instances and predict the beams of the N second-type time instances. That is, the multiple first-type time instances are earlier than the N second-type time instances.

[0198] As one embodiment, the plurality of first type time instances being earlier than the N second type time instances is one or more of: at least one of the plurality of first type time instances being earlier than any of the N second type time instances; a first one of the plurality of first type time instances being earlier than a first one of the N second type time instances; a last one of the plurality of first type time instances being earlier than a last one of the N second type time instances; a last one of the plurality of first type time instances being earlier than a first one of the N second type time instances; any of the plurality of first type time instances being earlier than a first one of the N second type time instances; and any of the N second type time instances not being earlier than a last one of the plurality of first type time instances. Exemplarily, the N second type time instances are later than any of the plurality of first type time instances, so that the beam information of the second type time instances is predicted by the beam information of the plurality of first type time instances.

[0199] As one embodiment, an earliest one of the plurality of first type time instances is earlier than an earliest one of the N second type time instances, and a latest one of the plurality of first type time instances is later than the earliest one of the N second type time instances. That is, the plurality of first type time instances and the N second type time instances overlap in time domain, and the beam information of the time instances in the overlapping region is predicted based on the measurement results of the non-overlapping first type time instances.

[0200] As one embodiment, the time instance comprises at least one slot. As one embodiment, the time instance comprises a plurality of slots. As one embodiment, the time instance comprises at least one symbol. As one embodiment, the time instance comprises a plurality of symbols.

[0201] As one embodiment, any of the plurality of first type time instances comprises at least one symbol.

[0202] As one embodiment, any of the plurality of first type time instances comprises at least one slot.

[0203] As one embodiment, any of the N second type time instances comprises at least one symbol.

[0204] As one embodiment, any of the N second type time instances comprises at least one slot.

[0205] As one embodiment, any of the first-type time instances comprises at least one symbol, and any of the N second-type time instances comprises at least one slot.

[0206] As one embodiment, any of the first-type time instances comprises at least one slot, and any of the N second-type time instances comprises at least one symbol.

[0207] As one embodiment, any of the first-type time instances comprises at least one symbol, and any of the N second-type time instances comprises at least one symbol.

[0208] As one embodiment, any of the first-type time instances comprises at least one slot, and any of the N second-type time instances comprises at least one slot.

[0209] As one embodiment, the symbol comprises an orthogonal frequency division multiplex (OFDM) symbol. As one embodiment, the symbol comprises a single-carrier frequency-division multiple access (SC-FDMA) symbol. As one embodiment, the symbol comprises a discrete fourier transform-spread-OFDM (DFT-s-OFDM) symbol.

[0210] The first information is also used to indicate a plurality of second-type beam information corresponding to the N second-type time instances. In some embodiments, the first information comprising the plurality of second-type beam information is also referred to as an inference result reporting information. Exemplarily, in time-domain beam management, the UE-side AI / ML model can predict the RSRP prediction values based on the beams in the beam set A (e.g., M beams) in the future N second-type time instances according to the L1-RSRP measurement values based on the beams in the beam set B in the preceding T1 time instances. According to these RSRP prediction values, the Top-K i beams in the N second-type time instances can be inferred, and then the inference result reporting information is reported.

[0211] The measurement results of the first resource set are used to determine a plurality of second type beam information, which refers to the beam information of a plurality of future beams predicted according to the measurement results of the measurement in the first resource set. The beam information of the plurality of future beams is referred to as the second type beam information. As described above, the first model can determine the plurality of second type beam information based on the measurement results of the plurality of first type beams.

[0212] In some embodiments, any of the plurality of second type beam information is one or more of the following information: a beam identification or a beam index; a channel state information-reference signal resource indication; a synchronization signal / physical broadcast channel block resource indication; a transmission configuration indication; a transmission configuration indication state; a downlink transmission configuration indication state; an uplink transmission configuration indication state; a transmission configuration indication state identification.

[0213] As an embodiment, the any of the second type beam information can be a beam identification / beam index. As an embodiment, the any of the second type beam information can be a CSI-RS resource indication (CRI). As an embodiment, the any of the second type beam information can be a synchronization signal / physical broadcast channel block resource indication (SSBRI). As an embodiment, the CSI-RSRI / SSBRI can be used to indirectly indicate the downlink transmission beam adopted by the CSI-RS / SSB in the AI / ML model training stage. As an embodiment, the any of the second type beam information can be a transmission configuration indication (TCI).

[0214] As an embodiment, at least two of the plurality of second type beam information are the same.

[0215] As an embodiment, any two of the plurality of second type beam information are different.

[0216] In some embodiments, the plurality of second type beam information in the first information can include predicted signal quality. That is, in addition to indicating the plurality of second type beam information, the first information can also indicate the RSRP value after the UE-side AI / ML model predicts the beams on the N second type time instances, so as to facilitate the second node to determine the transmission beams on the N second type time instances.

[0217] It should be understood that in the embodiments of the present application, the beam information can also be replaced by the beam. For example, the plurality of first type beam information associated with the plurality of resources in the first resource set can be replaced by the plurality of first type beams associated with the plurality of resources. For another example, the plurality of second type beam information corresponding to the N second type time instances can be replaced by the plurality of second type beams corresponding to the N second type time instances.

[0218] For ease of understanding, the relationship between the first type of beams and the second type of beams is exemplarily explained below in combination with the flowcharts of FIG. 6 and FIG. 7. FIG. 6 and FIG. 7 are both introduced from the perspective of interaction between the first node and the second node. The first node is for example a UE, and the second node is for example a gNB. The first model is deployed at the side of the first node, i.e., the UE side model. As can be known from FIG. 6 and FIG. 7, the multiple first type of beams in FIG. 6 are narrow beams, and the multiple first type of beams in FIG. 7 are wide beams.

[0219] Referring to FIG. 6, at step S610, the first node receives configuration signaling and determines the multiple first type of beams according to the configuration signaling. The configuration signaling can be the first configuration signaling and / or the second configuration signaling described above. The first configuration signaling can indicate the first resource set.

[0220] At step S620, the first node performs measurement on the first resource set. Exemplarily, the first node can use a fixed beam or an optimal beam to measure the multiple first type of beams on the first resource set.

[0221] At step S630, after the measurement result of the first resource set is used by the first model to determine the multiple second type of beams, the first node sends first information to the second node. The first information can include the multiple second type of beam information.

[0222] At step S640, the first node receives on part or all of the multiple second type of beams. The receiving performed by the first node can be measurement or signal detection. As can be known from FIG. 6, the multiple second type of beams are also narrow beams. When the multiple first type of beams are beams in Set B and the multiple second type of beams are beams in Set A, Set B can be the same as Set A or a subset of Set A.

[0223] Referring to FIG. 7, steps S710 to S740 are the same as steps S610 to S640 in FIG. 6, and will not be described again. Different from FIG. 6, the multiple first type of beams in FIG. 7 are wide beams, and the multiple second type of beams are narrow beams. That is, when the multiple first type of beams are beams in Set B and the multiple second type of beams are beams in Set A, Set B is different from Set A.

[0224] As can be known from FIG. 6 and FIG. 7, when the first node predicts the multiple second type of beams based on the measurement result of the multiple first type of beams, the multiple second type of beams can be the same as the multiple first type of beams or different from the multiple second type of beams.

[0225] In some embodiments, the plurality of second-type beam information corresponds to N second-type time instances. Exemplarily, the N second-type time instances respectively correspond to N beam information sets, and the plurality of second-type beam information is beam information in the N beam information sets. The N beam information sets can also be referred to as N groups of beam information.

[0226] As an embodiment, the N beam information sets respectively correspond to the N second-type time instances one by one. The N second-type time instances correspond to the plurality of second-type beam information through the N beam information sets. For example, one or more second-type beam information in the beam information set X corresponds to the second-type time instance X corresponding to the beam information set X.

[0227] As an embodiment, the N beam information sets include the plurality of second-type beam information. As an embodiment, the N beam information sets are respectively the plurality of second-type beam information. As an embodiment, any second-type beam information in the plurality of second-type beam information is one beam information in the N beam information sets.

[0228] As an embodiment, the plurality of second-type beam information corresponding to the N second-type time instances includes one second-type beam information in each beam information set. The one second-type beam information is the information of one beam with the strongest signal quality in each beam information set.

[0229] As an embodiment, the plurality of second-type beam information corresponding to the N second-type time instances includes a plurality of second-type beam information in each beam information set. The plurality of second-type beam information is the information of a plurality of beams with the strongest signal quality in each beam information set.

[0230] As an embodiment, the plurality of second-type beam information corresponding to the N second-type time instances includes one or more second-type beam information in each beam information set. The one or more second-type beam information is the information of one or more beams with a signal quality greater than a specific threshold in each beam information set.

[0231] In some embodiments, the N second-type time instances include a first time instance, and the first beam information set is one beam information set in the N beam information sets corresponding to the first time instance. The first time instance corresponds to L beams. The first beam information set includes beam information of one or more strongest beams in the L beams at the first time instance, and L is greater than 1.

[0232] As an embodiment, the first time instance is any second-type time instance in the N second-type time instances.

[0233] As an embodiment, the L beams are all beams in a beam set A.

[0234] As an embodiment, the L beams are part of the beam set A.

[0235] As an embodiment, any of the L beams is one of the beam set A.

[0236] As an embodiment, the multiple second-type beams are beams in the L beams.

[0237] As an embodiment, the multiple second-type beams are part of the L beams.

[0238] As an embodiment, any of the multiple second-type beams is one of the L beams.

[0239] As an embodiment, the L beams are all or part of the beams employed at the first time instance.

[0240] As an embodiment, the value of L in the L beams can be equal to the value of M shown in FIG. 4.

[0241] As an embodiment, the first time instance corresponding to the L beams means that the resource corresponding to the first time instance can be used to send part or all of the L beams.

[0242] As an embodiment, the first time instance is any one of the N second-type time instances. That is, each of the N second-type time instances can correspond to the L beams.

[0243] As an embodiment, the one or more strongest beams indicated by the first beam information set are one or more beams with the strongest signal quality in the L beams. As an embodiment, the one or more strongest beams indicated by the first beam information set are one or more beams with the largest RSRP value in the L beams. As an embodiment, the one or more strongest beams indicated by the first beam information set are one or more beams with the largest L1-RSRP value in the L beams.

[0244] As an embodiment, the signal quality includes the RSRP value. As an embodiment, the signal quality includes the L1-RSRP value. As an embodiment, the signal quality includes the L3-RSRP value.

[0245] In some embodiments, the one or more strongest beams are K beams with the strongest signal quality among the L beams at the first time instance, where K is greater than or equal to 1. Illustratively, each of the N second-type time instances corresponds to the K beams with the strongest signal quality, respectively. When K = 1, only the strongest beam is reported for each time instance.

[0246] As an example, the K beams with the strongest signal quality are reported for each time instance when K is a given value. For example, only the beam information corresponding to the K RSRPs with the strongest signal quality predicted for each time instance is reported when K is a given value.

[0247] As an example, the number of beams with the strongest signal quality reported for each time instance is no more than K when K is a maximum value.

[0248] In some embodiments, the one or more strongest beams are beams with a signal quality greater than a first threshold among the K beams with the strongest signal quality among the L beams at the first time instance. In this scenario, K is a maximum value. For example, only the beam information corresponding to the RSRP(s) greater than the first threshold among the K RSRPs with the strongest signal quality predicted for each time instance is reported.

[0249] In some embodiments, the one or more strongest beams are K beams with a signal quality greater than a first threshold among the L beams at the first time instance. When the first threshold is a fixed value, K is a dynamic parameter. For example, K is 1 when only 1 beam among the L beams has a signal quality greater than the first threshold. For another example, K is 3 when 3 beams among the L beams have a signal quality greater than the first threshold.

[0250] As an example, the first threshold is pre-configured, pre-defined, or configured by the network or higher layer signaling.

[0251] As an example, the first threshold can be dynamically configured. For example, when the strongest beams are K beams with a signal quality greater than the first threshold among the L beams, the first threshold can be lowered if there is no beam among the L beams with a signal quality greater than the first threshold.

[0252] As an example, K is fixed or configured.

[0253] In some embodiments, the number of one or more strongest beams corresponding to different time instances can or can not be equal. For example, when the i-th second-type time instance among the N second-type time instances corresponds to K i beams, K i may or can not be equal.

[0254] As an example, the i-th beam information set in the N beam information sets may include K beams from the L beams in the i-th second-type time instance among the N second-type time instances. i Beam information of the strongest beam, 1≤i≤N, K i ≥1. At least two of the N beam information sets are different, or, at least two of the N beam information sets correspond to K. i The values ​​are different.

[0255] As an example, at least two of the N beam information sets correspond to K. i The strongest beams are different.

[0256] As an example, the K i The strongest beam is the K beam with the strongest signal quality among the L beams in the i-th time instance of the N second-type time instances. i One beam.

[0257] As an example, the K i The strongest beam is the K beam with the strongest signal quality among the L beams in the i-th time instance of the N second-type time instances. i The beam whose signal quality is greater than the first threshold among the beams.

[0258] As an example, the K i The strongest beam is the one whose signal quality is greater than the first threshold among the L beams in the i-th type of time instance out of the N type of time instances. i One beam.

[0259] As an example, if K on different time instances i Equal, i.e., K i If K = K, then the resources or number of bits used for the beam information reported for each time instance are equal. For example, if K i =1, meaning that only the strongest beam is reported for each time instance.

[0260] As an example, each Top-Ki beam information includes K i Beam information. The K... i Each beam information in the beam information indicates a beam in Set A.

[0261] The first node determines the multiple second-type beam information on the N second-type time instances according to the measurement result of the first resource set, which is introduced above in combination with FIG. 5 to FIG. 7. The multiple second-type beam information indicated by the first information is the information of part of the beams in all the beams corresponding to the N second-type time instances. When the first node transmits the N second-type time instances and the multiple second-type beam information through the first information, the reporting of the prediction result can be performed through less resource overhead.

[0262] In some embodiments, the first information can indicate the N second-type time instances and the multiple beam information in multiple ways. Exemplarily, the inference result of the UE-side AI / ML model can report the N second-type time instances and the corresponding Top-K i beams in multiple ways. Exemplary descriptions are made below in combination with multiple embodiments.

[0263] Embodiment 1

[0264] The first information can include the N beam information sets and the N second-type time instances, and the N second-type time instances correspond to the N beam information sets one by one. For example, the first information can include the N second-type time instances and the N beam information sets.

[0265] In some embodiments, each of the N beam information sets can include K i beam information.

[0266] As known from the foregoing, the first information can be carried in multiple signaling. Taking the MAC CE as an example, the first information includes at least one MAC CE when the multiple beam information is indicated through the N beam information sets corresponding to the N second-type time instances.

[0267] As an embodiment, the first information includes one MAC CE, and the one MAC CE includes multiple domains, one of which indicates one of the N beam information sets.

[0268] As an embodiment, the first information includes one MAC CE, and the one MAC CE includes multiple domains, one of which indicates one of the N second-type time instances.

[0269] As an embodiment, the first information includes one MAC CE, and the one MAC CE includes multiple domains, one of which indicates one of the N second-type time instances and one of the N beam information sets corresponding thereto.

[0270] As an embodiment, the first information comprises one MAC CE, the one MAC CE comprises a plurality of fields, one of the plurality of fields indicates one of the N second-type time instances, another of the plurality of fields indicates a corresponding one of the N beam information sets.

[0271] As an embodiment, the first information comprises a plurality of MAC CEs, any of the plurality of MAC CEs indicates one of the N beam information sets.

[0272] As an embodiment, the first information comprises a plurality of MAC CEs, any of the plurality of MAC CEs indicates one of the N second-type time instances.

[0273] As an embodiment, the first information comprises a plurality of MAC CEs, any of the plurality of MAC CEs indicates one of the N beam information sets and one of the N second-type time instances.

[0274] As an embodiment, the first information comprises a plurality of MAC CEs, any of the plurality of MAC CEs comprises an identity of one of the N beam information sets.

[0275] As an embodiment, the first information comprises a plurality of MAC CEs, any of the plurality of MAC CEs comprises an index of one of the N second-type time instances.

[0276] As an embodiment, the first information comprises a plurality of MAC CEs, any of the plurality of MAC CEs comprises an identity of one of the N beam information sets and an index of one of the N second-type time instances.

[0277] In some embodiments, each second-type time instance can also be a resource indication. The resource indication of the N second-type time instances is a time slot index of the N second-type time instances, and / or, the N second-type time instances are indexed in a prediction window. For example, when a prediction window is configured, time instance i can be the index of the corresponding time slot in all time slots included in the prediction window.

[0278] In some embodiments, the beam information in the first information can further include a TCI to indicate a transmission configuration of the N second-type time instances. As an embodiment, the first information includes at least one time instance and at least one TCI state ID.

[0279] As an embodiment, the first information includes N second-type time instances and N TCI state IDs, which respectively correspond to the N second-type time instances. As an embodiment, the first information includes N second-type time instances and N beam indices, which respectively correspond to the N second-type time instances. As an embodiment, the first information includes N second-type time instances and N beam set indices, which respectively correspond to the N second-type time instances.

[0280] For ease of understanding, the method of the first information including N second-type time instances and N beam information sets / TCI state IDs is exemplarily introduced below in combination with FIG. 8 and FIG. 9. The inference result report in FIG. 8 is the first information.

[0281] Referring to FIG. 8, the first information includes two types of domains arranged in sequence. The first type of domain in the two types of domains sequentially indicates N second-type time instances, which are respectively time instance #1 to time instance #N. The second type of domain is located after the first type of domain. The second type of domain sequentially indicates N beam information sets corresponding to the N second-type time instances, which are respectively beam information set 1 to beam information set N.

[0282] As shown in FIG. 8, each beam information set in the second type of domain includes Top-K i beam information (beam info.). That is, the beam information set 1 corresponding to the time instance #1 includes Top-K1 beam information, and the beam information set N corresponding to the time instance #N includes Top-K N beam information. Taking the beam information set 2 corresponding to the time instance #2 as an example, the domain where the beam information set 2 is located can indicate Top-K2 beam information, which are respectively Top-1 beam information, Top-2 beam information, …, Top-K2 beam information.

[0283] Referring to FIG. 9, the first information includes two types of domains arranged side by side. The first type of domain sequentially indicates N second-type time instances, which are respectively time instance #1 to time instance #N. The second type of domain indicates N beam information sets corresponding to the N second-type time instances side by side, which are respectively beam information set 1 to beam information set N. The content in each beam information set is the same as that in FIG. 8, which will not be described herein again.

[0284] The reporting method of the first information including N second-type time instances and N beam information sets is described above in combination with FIG. 8 and FIG. 9. In this embodiment, the reported first information is relatively rich, and can be flexibly indicated.

[0285] Embodiment 2

[0286] To save signaling overhead, a plurality of resource sets can be configured through high-layer signaling. The plurality of resource sets can respectively indicate a plurality of time instance sets. For example, one of the plurality of resource sets can indicate N second-type time instances. In this scenario, the first information no longer needs to indicate the N second-type time instances, but indicates through the resource set.

[0287] In some embodiments, the first information can include one resource set identifier and N beam information sets. Each beam information set can include Top-K i beam information. Wherein, the N sets of Top-K i beam information respectively correspond to the N time instances corresponding to one resource set. Other technical features in Embodiment 2 can be similar to Embodiment 1.

[0288] As an embodiment, the plurality of resource sets correspond to a plurality of time instance sets. The N second-type time instances can be one of the plurality of time instance sets, and the resource set in which the N second-type time instances are located can be referred to as a second resource set.

[0289] In some embodiments, the first information indicates the second resource set and the plurality of second-type beam information, and the second resource set is located on the N second-type time instances. That is, the first information can indicate the N second-type time instances through the second resource set.

[0290] As an embodiment, the second resource set includes the N second-type time instances.

[0291] As an embodiment, the time domain resources occupied by the second resource set include the N second-type time instances.

[0292] As an embodiment, the second resource set includes a plurality of resources, and the plurality of resources included in the second resource set are used for transmission of a downlink signal.

[0293] As an embodiment, any resource of the plurality of resources included in the second resource set includes a plurality of resource particles.

[0294] In some embodiments, the first information can comprise an identification of the second resource set to determine the N second-type time instances. Exemplarily, the identification of the second resource set can be used by the second node to determine the N second-type time instances. As an example, the first information can comprise an identification of the second resource set to which the N second-type time instances correspond. The identification of the second resource set can be referred to as a second resource set ID, indicating the second resource set to which the N second-type time instances correspond.

[0295] As an example, the first information can comprise a set of N beam information and an identification of the second resource set. The identification of the second resource set indicates the N second-type time instances. It can be seen that the N second-type time instances belong to any of the plurality of resource sets.

[0296] In some embodiments, the plurality of resource sets in which the second resource set is located can be indicated by a second resource set list, so as to facilitate the first node to indicate the second resource set based on the second resource list, and facilitate the second node to determine the N second-type time instances according to the first information.

[0297] As an example, the second resource set list comprises a plurality of resource sets, and the second resource set is one of the resource sets in the second resource set list.

[0298] As an example, the identification of the second resource set is used to determine the second resource set from the second resource set list.

[0299] As an example, the identification of the second resource set is an index of the second resource set in the plurality of resource sets included in the second resource set list. Exemplarily, the first information can comprise the index of the second resource set in the second resource set list.

[0300] As an example, the first resource set list comprises a plurality of resource sets, and the first resource set is one of the resource sets in the first resource set list.

[0301] As an example, the identification of the first resource set is used to determine the first resource set from the first resource set list.

[0302] As an example, the identification of the first resource set is an index of the first resource set in the plurality of resource sets included in the first resource set list. Exemplarily, the first configuration signaling can comprise the index of the first resource set in the first resource set list.

[0303] As one embodiment, the second resource set list is configured with higher-layer signaling. Exemplarily, the second resource set list is configured with RRC layer signaling. Exemplarily, the second resource set list is configured with MAC layer signaling. Exemplarily, the second resource set list is configured with RRC IE. Exemplarily, the second resource set list is configured with MAC CE.

[0304] As one example, the second resource set list is configured by the network or gNB.

[0305] As one embodiment, the first resource set list is configured with higher-layer signaling. Exemplarily, the first resource set list is configured with RRC layer signaling. Exemplarily, the first resource set list is configured with MAC layer signaling. Exemplarily, the first resource set list is configured with RRC IE. Exemplarily, the first resource set list is configured with MAC CE.

[0306] As one example, the first resource set list is configured by the network or gNB.

[0307] In some embodiments, the first resource set list and the second resource set list are associated with each other, or the two resource set lists correspond to each other. As one embodiment, the first resource set list is the same as the second resource set list. As one embodiment, the first resource set list is the second resource set list. As one embodiment, the first resource set list and the second resource set list are different.

[0308] In some embodiments, the plurality of second-type beam information is the N beam information sets, and any one of the N beam information sets is K of the L beams in the j-th second-type time instance among the N second-type time instances. j Beam information of the strongest beam, 1≤j≤N, K j ≥1.

[0309] As an example, the K j The strongest beam is the K beam with the strongest signal quality among the L beams in the j-th time instance of the N second-type time instances. j One beam.

[0310] As an example, the K j The strongest beam is the K beam with the strongest signal quality among the L beams in the j-th time instance of the N second-type time instances. j The beam whose signal quality is greater than the first threshold among the beams.

[0311] As an example, the K jthe K beams in the L beams on the jth second-type time instance of the N second-type time instances have a signal quality greater than a first threshold value j beams.

[0312] As an embodiment, the L beams on the ith second-type time instance are the same as the L beams on the jth second-type time instance, or are not the same.

[0313] For ease of understanding, the method in which the first information includes the second resource set identifier is exemplarily introduced below in combination with FIG. 10.

[0314] Referring to FIG. 10, the first information also includes two types of fields arranged side by side. The first type of field indicates a resource set ID. The resource set ID is an identifier of a second resource set. The second type of field indicates N beam information sets corresponding to N second-type time instances in sequence, respectively, beam information set 1 to beam information set N. The content in each beam information set is the same as that in FIG. 8, and is not described again.

[0315] The above introduces the reporting method in which the first information includes N second-type time instances and a second resource set identifier in combination with FIG. 10. Compared with embodiment 1, this embodiment saves a part of signaling overhead.

[0316] Embodiment 3

[0317] Since the geographical position and surrounding environment of the terminal device do not change much within a prediction window / period / phase, many beam information in the N beam information sets may be the same. That is, many beam information in the N groups of Top-K i beam information corresponding to the N second-type time instances are the same. In this scenario, embodiments 1 and 2 may cause redundant signaling overhead to indicate duplication.

[0318] Considering that the predicted beam lasts for a period of time and the predicted beam is limited within a certain prediction period, the present application proposes a reporting method in which the first information is mainly beam information.

[0319] In some embodiments, the first information can include K T beam information and a set of K T time instances. Exemplarily, the K T beam information can belong to the second-type beam information, or can be the second-type beam information. Exemplarily, the K T beam information can be determined according to the prediction result of the N second-type time instances.

[0320] As an embodiment, the K TAny of the K beams is one of the L beams. The L beams are the L beams at the i-th second-type time instance of the N second-type time instances, or the L beams at the j-th second-type time instance of the N second-type time instances.

[0321] As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above. T As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above. T As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above. T As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above. T As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above.

[0322] As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above. T As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above. T As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above.

[0323] As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above. T As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above.

[0324] As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above. T As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above.

[0325] As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above. T As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above.

[0326] As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above. T As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above. T As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above.

[0327] As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above. T As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above. T As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above.

[0328] As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above. T As an embodiment, the K beams are a subset of the L beams. As an implementation, the K beams are the L beams described above. As another implementation, the K beams are a subset of the L beams described above. Tany of the K beams has a maximum RSRP value greater than a maximum RSRP value of any of the L beams on the N second-type time instances.

[0329] As an embodiment, K T any of the K beams has a maximum RSRP value greater than a maximum RSRP value of any of the L beams on the N second-type time instances. T any of the K beams on the N second-type time instances.

[0330] As an embodiment, K T any of the K beams has a maximum L1-RSRP value greater than a maximum L1-RSRP value of any of the L beams on the N second-type time instances. T any of the K beams on the N second-type time instances.

[0331] As an embodiment, the N second-type time instances correspond to N groups of beams. The N groups of beams include N x K i beams. The second-type beam information includes beam information of K T beams. The K T beams are all different beams in the N x K i strongest beams, or the K T beams are K i strongest beams in the N x K T strongest beams.

[0332] In some embodiments, the K T beam information indicates L beams in the N second-type time instances or K i different beams in the N x K T strongest beams in the i-th second-type time instance. That is, the K T beams can be the L beams, or can be all different beams in N groups of Top-K i beams predicted in the N time instances. In this scenario, the value of K T is fixed, and the signaling overhead of the first information is unchanged.

[0333] As an embodiment, the first information includes information of the L beams corresponding to the K T beam information.

[0334] As an embodiment, the K T beams are determined according to signal qualities of all beams in the N x K i strongest beams in the N second-type time instances. Therefore, the K TEach beam can also be called Top-K. T One beam.

[0335] As an example, the K T The beam information indicates the L beams predicted over N type II time instances or N×K beams. i K in the strongest beam T Different beams.

[0336] In some embodiments, the K T Each beam can be determined based on the signal quality of all different beams in N second-type time instances. That is, the K... T The beam can be K of all beams. T The strongest beam.

[0337] As an example, the signal quality of any beam is the combined RSRP of that beam over N second-type time instances.

[0338] As an example, Top-K T Each beam can be based on N Top-K groups. i The effective average RSRP of all beams in a given beam is determined over N Type II time instances. For example, each beam in the given beam has an effective average over N Type II time instances. The beams whose effective average signal quality is greater than a second threshold are designated as Top-K. T One beam.

[0339] For example, N groups of Top-K i One of the beams, K j Starting from time instance #2, and continuing for 5 time instances, then beam K j The corresponding integrated RSRP is beam K. j The predicted RSRP and its average value across these 5 time instances. When the 5 RSRPs are L1-RSRP1, L1-RSRP2, ..., L1-RSRP5, the average value is the average of these 5 L1-RSRPs. N Top-K groups i All different beams in a beam are sorted according to their corresponding synthesized RSRP values, and K is selected. T The beam information was used for reporting the inference results.

[0340] As an example, Top-K T Each beam can be based on N Top-K groups. i The total RSRP of all beams in a beam is determined over N time instances of type 2. For example, Top-K T The beam with the largest total RSRP value among all beams is K. Ta beam.

[0341] For example, the beam K j The corresponding integrated RSRP is the beam K j The sum of the 5 RSRPs predicted on the 5 time instances. N groups of Top-K i All different beams in the K T The K T beam information is used for reporting the inference result.

[0342] In some embodiments, the K i beam information indicates the K T different beams whose signal quality is greater than the first threshold value in the L beams on the i-th second type time instance or in the N×K T different beams in the N groups of Top-K i beams. That is, the K T different beams can be the Top-K T different beams in the L beams on the i-th second type time instance or in the N groups of Top-K T beams. In this scenario, the value of K T is not fixed, and the signaling overhead of the first information is variable. For example, when there are more beams whose signal quality is greater than the first threshold value, the value of K T is greater.

[0343] As an example, the number of K i different beams decreases as the first threshold value increases.

[0344] As an example, the K T beam information indicates the K T different beams whose signal quality is greater than the first threshold value in the L beams predicted on the N second type time instances or in the N×K i different beams whose signal quality is the greatest in the L beams predicted on the N second type time instances or in the N×K T different beams.

[0345] In some embodiments, the K T time instance sets correspond to the K T beam information. For example, the K T beam information and the K T time instance sets correspond to each other. That is, each of the K T beam information corresponds to a time instance set.

[0346] As an embodiment, a time instance set can include one or more time instances. The one or more time instances can be partially continuous, can be totally continuous, or can be totally discontinuous.

[0347] As an embodiment, a time instance set can be indicated by one or more of the following information: a start time instance, a duration, an end time instance (also referred to as a cutoff time instance), a number of time instances, a time instance interval. The K T time instance sets can be indicated by various ways based on the information.

[0348] In some embodiments, any of the K T time instance sets includes a start time instance and a duration. That is, the first information can include the K T beam information and their corresponding start time instances and durations.

[0349] As an embodiment, the duration includes at least one time instance. As an embodiment, the duration includes a plurality of continuous time instances. As an embodiment, the duration includes a plurality of discontinuous time instances.

[0350] As an embodiment, at least two of the K T time instance sets include different start time instances.

[0351] As an embodiment, at least two of the K T time instance sets include the same start time instance.

[0352] As an embodiment, when a beam information corresponds to a plurality of groups of continuous time instances, the start time instance can be the earliest time instance in any of the groups of continuous time instances, and the duration can be the length of the group of continuous time instances.

[0353] As an embodiment, when a beam information corresponds to a plurality of groups of continuous time instances, the start time instance can be the earliest time instance in any of the groups of continuous time instances, and the duration can be the total length of one or more groups of continuous time instances including the group of continuous time instances.

[0354] As an embodiment, when a beam information corresponds to a plurality of groups of continuous time instances, the start time instance can be the earliest time instance in the earliest group of continuous time instances among the plurality of groups of continuous time instances, and the duration can be the length of the group of continuous time instances.

[0355] As an embodiment, when the beam information corresponds to multiple groups of continuous time instances, the starting time instance can be the earliest time instance in the earliest group of continuous time instances among the multiple groups of continuous time instances, and the duration can be the total length of the multiple groups of continuous time instances.

[0356] As an embodiment, the duration corresponding to each beam can be the same or different, which is not limited herein.

[0357] As an embodiment, the K T time instance sets include at least two time instance sets with different durations.

[0358] As an embodiment, the K T time instance sets include any two time instance sets with the same duration.

[0359] In some embodiments, any time instance set in the K T time instance sets includes a starting time instance and a terminal time instance. That is, the first information includes K T beam information and the starting time instance and the terminal time instance corresponding thereto.

[0360] As an embodiment, the K T time instance sets include at least two time instance sets with different terminal time instances.

[0361] As an embodiment, the K T time instance sets include at least two time instance sets with the same terminal time instance.

[0362] As an embodiment, when the beam information corresponds to multiple groups of continuous time instances, the starting time instance can be the earliest time instance in any group of continuous time instances among the multiple groups of continuous time instances, and the terminal time instance can be the latest time instance in the group of continuous time instances. As an embodiment, when the beam information corresponds to multiple groups of continuous time instances, the starting time instance can be the earliest time instance in any group of continuous time instances among the multiple groups of continuous time instances, and the terminal time instance can be the latest time instance in the multiple groups of continuous time instances.

[0363] For ease of understanding, the beam information-based reporting mode is exemplarily introduced below in combination with FIG. 11 and FIG. 12 respectively.

[0364] Referring to FIG. 11, the first information includes K T domains arranged side by side, K T domains correspond to K T beam information. KT Each of the K T domains can indicate each of the beam information and the corresponding start time instance and duration.

[0365] Referring to FIG. 12, the first information also includes K T domains arranged side by side, the K T domains correspond to K T beam information. Each of the K T domains can indicate each of the beam information and the corresponding start time instance and end time instance.

[0366] As can be seen from FIGS. 11 and 12, the embodiment 3 reports information mainly based on beam information, which can avoid repeated indication of beam information and help reduce the overhead of redundant signaling.

[0367] Embodiment 4

[0368] As can be seen from the foregoing, beam management mainly predicts downlink beams in the beam set A. The beams in the beam set are relatively determined, and therefore, the first information can not directly indicate beam information, but can be indicated by an index or an ID (identification) of reporting configurations. Exemplarily, the ID of the reporting configuration can indicate one of a plurality of reporting configurations.

[0369] As an embodiment, each reporting configuration can be used to set reporting content. The reporting content can include at least one resource configuration. The at least one resource configuration is used to determine resources occupied by K T beams. That is, each reporting configuration can correspond to different K T beams through resource configurations. The K T beams can be determined according to the method of the embodiment 3.

[0370] As an embodiment, each resource configuration includes resources occupied by downlink transmission beams in the beam set A in the CSI-RS or SSB in the AI / ML model training stage. That is, the reporting configuration can include CRI or SSBRI.

[0371] In some embodiments, the first information can include an ID of the first reporting configuration and K T time instance sets. Any of the K T time instance sets includes one or more of the following: a start time instance and a duration; a start time instance and an end time instance. The K T time instance sets can be determined according to the method of the embodiment 3.

[0372] As an embodiment, the first reporting configuration is any of the plurality of reporting configurations. The identification of the first reporting configuration can also be referred to as a first reporting configuration ID.

[0373] As an embodiment, the first information can include a reporting configuration index and a corresponding starting time instance and a duration or a terminal time instance. That is, the first information can include an identification of the first reporting configuration, a starting time instance corresponding to the K T beams, a duration or a terminal time instance corresponding to the K T beams.

[0374] For ease of understanding, the reporting method in which the first information includes the reporting configuration identification is exemplarily described below in combination with FIG. 13.

[0375] Referring to FIG. 13, the first information can include two types of fields arranged side by side. The first type of field is used to indicate the identification of the first reporting configuration. The second type of field can indicate K T time instance information corresponding to the K T beams. In the left diagram of FIG. 13, each of the K T fields can respectively indicate a starting time instance and a duration. In the right diagram of FIG. 13, each of the K T fields can respectively indicate a starting time instance and a terminal time instance. The first information can include any of the information in FIG. 13 or both of the information.

[0376] As can be seen from FIG. 13, embodiment 4 does not need to report specific beam information, and can further reduce signaling overhead.

[0377] The method embodiments of the present application are described in detail above in combination with FIGS. 1 to 13, and the device embodiments of the present application are described in detail below in combination with FIGS. 14 to 17. It should be understood that the description of the method embodiments and the description of the device embodiments correspond to each other, and therefore, the parts not described in detail can be referred to the foregoing method embodiments.

[0378] FIG. 14 is a first node for wireless communication provided by an embodiment of the present application. As shown in FIG. 14, the first node 1400 includes a first transceiver 1410 and a first processor 1420.

[0379] The first transceiver 1410 can be used to receive a first configuration signaling, and the first configuration signaling indicates a first resource set.

[0380] The first processor 1420 can be used to perform measurement on the first resource set, and the first resource set is located on a plurality of first type time instances.

[0381] The first transceiver 1410 is further configured to transmit first information, the first information indicating N second-type time instances and a plurality of second-type beam information, wherein any second-type time instance of the N second-type time instances is not earlier than a last first-type time instance of the plurality of first-type time instances, N is a positive integer, the measurement result for the first resource set is used to determine the plurality of second-type beam information, and the plurality of second-type beam information corresponds to the N second-type time instances.

[0382] As an embodiment, the plurality of second-type beam information is determined according to a first model.

[0383] As an embodiment, the measurement result for the first resource set is used by the first model to determine the plurality of second-type beam information.

[0384] As an embodiment, the first transceiver 1410 is further configured to receive second configuration signaling, the second configuration signaling indicating the plurality of first-type beam information, and the first resource set includes a plurality of resources, and the plurality of resources are respectively associated with the plurality of first-type beam information.

[0385] As an embodiment, any second-type beam information of the plurality of second-type beam information is one or more of the following information: a beam identifier or a beam index; a channel state information-reference signal resource indication; a synchronization signal / physical broadcast channel block resource indication; a transmission configuration indication; a transmission configuration indication state; and a transmission configuration indication state identifier.

[0386] As an embodiment, the plurality of second-type beam information is beam information of N beam information sets, and the N beam information sets respectively correspond to the N second-type time instances in one-to-one correspondence.

[0387] As an embodiment, the N second-type time instances include a first time instance, a first beam information set is one of the N beam information sets corresponding to the first time instance, and the first beam information set includes beam information of one or more strongest beams of L beams at the first time instance, L being greater than 1.

[0388] As an embodiment, the one or more strongest beams are K beams with the strongest signal quality among the L beams at the first time instance, or the one or more strongest beams are beams with a signal quality greater than a first threshold among the K beams with the strongest signal quality among the L beams at the first time instance, or the one or more strongest beams are K beams with a signal quality greater than the first threshold among the L beams at the first time instance, K being greater than or equal to 1.

[0389] As an embodiment, an i-th beam information set of the N beam information sets includes K iBeam information of the strongest beam, 1≤i≤N, K i ≥1, at least two of the N beam information sets are different, or, at least two of the N beam information sets correspond to K. i The values ​​are different.

[0390] As one embodiment, the first information includes N beam information sets and N second-type time instances, with each of the N second-type time instances corresponding one-to-one with one of the N beam information sets.

[0391] As one embodiment, the first information indicates a second resource set and multiple second-type beam information, the second resource set being located on N second-type time instances.

[0392] As one example, the first information includes the identifier of the second resource set, which is used to identify N second-type time instances.

[0393] As an example, the multiple types of second-type beam information are N beam information sets, and any one of the N beam information sets is among the L beams in the j-th type of second-type time instance out of the N type of second-type time instances. j Beam information of the strongest beam, 1≤j≤N, K j ≥1.

[0394] As an example, the first information includes K T Beam information and K T A set of time instances, K T Each time instance set corresponds to K T Beam information.

[0395] As an example, K T The beam information indicates L beams or N×K beams on the i-th type II time instance out of N type II time instances. i K in the strongest beam T Different beams.

[0396] As an example, K T The beam information indicates L beams or N×K beams on the i-th type II time instance out of N type II time instances. i The signal quality in each beam is greater than the first threshold K. T Different beams.

[0397] As an example, K T Any set of time instances in a set of time instances includes a start time instance and a duration.

[0398] As an example, K TAny of the set of time instances comprises a start time instance and an end time instance.

[0399] As an embodiment, the first information comprises an identification of the first report configuration and K T Any of the set of K T Any of the set of K

[0400] As an embodiment, the first transceiver 1410 can be the transceiver 1630, the first processor 1420 can be the processor 1610, and the first node 1400 can further comprise the processor 1610 and the memory 1620, as shown in FIG. 16.

[0401] FIG. 15 is a second node for wireless communication provided by an embodiment of the present application. As shown in FIG. 15, the second node 1500 comprises a second processor 1510 and a second transceiver 1520.

[0402] The second processor 1510 can be configured to determine first configuration signaling, the first configuration signaling indicating a first resource set.

[0403] The second transceiver 1520 can be configured to perform beam transmission according to the first resource set, the first resource set being located on a plurality of first-type time instances.

[0404] The second transceiver 1520 is further configured to receive first information, the first information indicating N second-type time instances and a plurality of second-type beam information; wherein the plurality of first-type time instances are earlier than the N second-type time instances, N is a positive integer; measurement results for the first resource set are used to determine the plurality of second-type beam information; and the plurality of second-type beam information corresponds to the N second-type time instances.

[0405] As an embodiment, the plurality of second-type beam information is determined according to a first model.

[0406] As an embodiment, the measurement results for the first resource set are used by the first model to determine the plurality of second-type beam information.

[0407] As an embodiment, the second processor 1510 is further configured to determine second configuration signaling, the second configuration signaling indicating the plurality of first-type beam information, the first resource set comprising a plurality of resources, and the plurality of resources being respectively associated with the plurality of first-type beam information.

[0408] As an embodiment, any of the plurality of second-type beam information is one or more of: a beam identity or a beam index; a channel state information-reference signal resource indication; a synchronization signal / physical broadcast channel block resource indication; a transmission configuration indication; a transmission configuration indication state; a transmission configuration indication state identity.

[0409] As an embodiment, the plurality of second-type beam information is beam information in N sets of beam information, the N sets of beam information one-to-one corresponding to N second-type time instances respectively.

[0410] As an embodiment, the N second-type time instances include a first time instance, the first set of beam information is one of the N sets of beam information corresponding to the first time instance, the first set of beam information including beam information of one or more strongest beams in L beams at the first time instance, L being greater than 1.

[0411] As an embodiment, the one or more strongest beams are K beams with the strongest signal quality in the L beams at the first time instance, or, the one or more strongest beams are beams with signal quality greater than a first threshold in the K beams with the strongest signal quality in the L beams at the first time instance, or, the one or more strongest beams are K beams with signal quality greater than a first threshold in the L beams at the first time instance, K being greater than or equal to 1.

[0412] As an embodiment, an i-th set of beam information in the N sets of beam information includes beam information of K i strongest beams in L beams at an i-th second-type time instance in the N second-type time instances, 1≤i≤N, K i ≥1, at least two sets of beam information in the N sets of beam information being different, or, values of K i corresponding to at least two sets of beam information in the N sets of beam information being different.

[0413] As an embodiment, the first information includes the N sets of beam information and the N second-type time instances, the N second-type time instances one-to-one corresponding to the N sets of beam information.

[0414] As an embodiment, the first information indicates the second resource set and the plurality of second-type beam information, the second resource set being located at the N second-type time instances.

[0415] As an embodiment, the first information includes an identity of the second resource set, the identity of the second resource set being used to determine the N second-type time instances.

[0416] As an embodiment, the plurality of second-type beam information is N sets of beam information, any set of beam information in the N sets of beam information is beam information of K j strongest beams in L beams on a jthsecond-type time instance in N second-type time instances, 1≤j≤N, K j ≥1.

[0417] As an embodiment, the first information comprises K T sets of beam information and K T sets of time instances, the K T sets of time instances correspond to the K T sets of beam information respectively.

[0418] As an embodiment, the K T sets of beam information indicate K i different beams in L beams or N×K T strongest beams on an ithsecond-type time instance in N second-type time instances.

[0419] As an embodiment, the K T sets of beam information indicate K i different beams with signal quality greater than a first threshold in L beams or N×K T beams on an ithsecond-type time instance in N second-type time instances.

[0420] As an embodiment, any set of time instances in the K T sets of time instances comprises a start time instance and a duration.

[0421] As an embodiment, any set of time instances in the K T sets of time instances comprises a start time instance and an end time instance.

[0422] As an embodiment, the first information comprises an identification of a first report configuration and K T sets of time instances, any set of time instances in the K T sets of time instances comprises one or more of a start time instance and a duration; a start time instance and an end time instance.

[0423] As an embodiment, the second processor 1510 can be the processor 1610, the second transceiver 1520 can be the transceiver 1630, and the second node 1500 can further comprise a memory 1620, as shown in FIG. 16.

[0424] FIG. 16 is a schematic block diagram of a communication device according to an embodiment of the present application. The dashed line in FIG. 16 indicates that the unit or module is optional. The device 1600 can be used to implement the method described in the above method embodiments. The device 1600 can be a chip, a user equipment or a network device.

[0425] The device 1600 can include one or more processors 1610. The processor 1610 can support the device 1600 to implement the method described in the above method embodiments. The processor 1610 can be a general purpose processor or a dedicated processor. For example, the processor can be a central processing unit (CPU). Alternatively, the processor can also be other general purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic components, discrete hardware components, etc. The general purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0426] The device 1600 can also include one or more memories 1620. The memory 1620 stores a program, which can be executed by the processor 1610, so that the processor 1610 performs the method described in the above method embodiments. The memory 1620 can be independent of the processor 1610 or integrated in the processor 1610.

[0427] The device 1600 can also include a transceiver 1630. The processor 1610 can communicate with other devices or chips through the transceiver 1630. For example, the processor 1610 can perform data transmission and reception with other devices or chips through the transceiver 1630.

[0428] FIG. 17 is a schematic diagram of hardware modules of a communication device according to an embodiment of the present application. Specifically, FIG. 17 shows a block diagram of a first communication device 1750 and a second communication device 1710 which communicate with each other in an access network.

[0429] The first communication device 1750 includes a controller / processor 1759, a memory 1760, a data source 1767, a transmission processor 1768, a reception processor 1756, a multi-antenna transmission processor 1757, a multi-antenna reception processor 1758, a transmitter / receiver 1754 and an antenna 1752.

[0430] The second communication device 1710 includes a controller / processor 1775, a memory 1776, a data source 1777, a receive processor 1770, a transmit processor 1716, a multi-antenna receive processor 1772, a multi-antenna transmit processor 1771, a transmitter / receiver 1718, and antennas 1720.

[0431] In the transmission from the second communication device 1710 to the first communication device 1750, at the second communication device 1710, upper layer packets from a core network or upper layer packets from the data source 1777 are provided to the controller / processor 1775. The core network and the data source 1777 represent all protocol layers above the L2 layer. The controller / processor 1775 implements the functionality of the L2 layer. In the transmission from the second communication device 1710 to the first communication device 1750, the controller / processor 1775 provides header compression, ciphering, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocations for the first communication device 1750 based on various priority metrics. The controller / processor 1775 is also responsible for retransmission of lost packets, and signaling to the first communication device 1750. The transmit processor 1716 and the multi-antenna transmit processor 1771 implement various signal processing functions for the LI layer (i.e., physical layer). The transmit processor 1716 implements coding and interleaving to facilitate forward error correction at the second communication device 1710, and mapping of data packets onto signal constellations based on various modulation schemes (e.g., binary phase-shift keying, quadrature phase-shift keying, M-phase-shift keying, M-quadrature amplitude modulation). The multi-antenna transmit processor 1771 performs digital spatial precoding of the coded and modulated symbols, including codebook-based precoding and non-codebook-based precoding, and beamforming processing, generating one or more spatial streams. The transmit processor 1716 then maps to each spatial stream to subcarriers, multiplexes with reference signals (e.g., pilots) in the time and / or frequency domain, and then performs an inverse fast Fourier transform to produce a time-domain multicarrier symbol stream for the physical channel. The multi-antenna transmit processor 1771 then performs transmit analog precoding / beamforming operations on the time-domain multicarrier symbol stream. Each transmitter 1718 converts the baseband multicarrier symbol stream provided by the multi-antenna transmit processor 1771 into a radio frequency stream, and then provides the radio frequency stream to the different antennas 1720.

[0432] In the transmission from the second communication device 1710 to the first communication device 1750, at the first communication device 1750, each receiver 1754 receives a signal through its respective antenna 1752. Each receiver 1754 recovers information modulated onto an RF carrier and converts the RF stream into a baseband multicarrier symbol stream, which provides to the receive processor 1756. The receive processor 1756 and the multi-antenna receive processor 1758 implement various signal processing functions of the LI layer. The multi-antenna receive processor 1758 performs receive analog precoding / beamforming operation on the baseband multicarrier symbol stream from the receivers 1754. The receive processor 1756 converts the baseband multicarrier symbol stream from the receive analog precoding / beamforming operation from the time domain to the frequency domain using a fast Fourier transform. In the frequency domain, the physical layer data signals and the reference signals are demultiplexed by the receive processor 1756, where the reference signals will be used for channel estimation, and the data signals are recovered after multi-antenna detection in the multi-antenna receive processor 1758 for any spatial streams destined for the first communication device 1750. The symbols on each spatial stream are demodulated and recovered by the receive processor 1756 and generate soft decisions. The receive processor 1756 then decodes and de-interleaves the soft decisions to recover the upper layer data and control signals transmitted by the second communication device 1710 on the physical channels. The upper layer data and control signals are then provided to the controller / processor 1759. The controller / processor 1759 implements the functions of the L2 layer. The controller / processor 1759 can be associated with a memory 1760 that stores program codes and data. The memory 1760 can be referred to as a computer readable medium. In the transmission from the second communication device 1710 to the first communication device 1750, the controller / processor 1759 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover upper layer data packets from the second communication device 1710. 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.

[0433] In the transmission from the first communication device 1750 to the second communication device 1710, at the first communication device 1750, a data source 1767 provides upper layer data packets to the controller / processor 1759, which implements L2 layer functionality. The data source 1767 represents all protocol layers above L2. Similar to the transmit function at the second communication device 1710 described in the transmission from the second communication device 1710 to the first communication device 1750, the controller / processor 1759 implements header compression, ciphering, packet segmentation and reordering, and multiplexing between logical and transport channels, L2 layer functionality for the user plane and control plane. The controller / processor 1759 is also responsible for error detection, retransmission of lost packets, and signaling to the second communication device 1710. A transmit processor 1768, which can be implemented as part of a controller / processor 1759, generates modulation symbols for the data packet from the data source 1767, control symbols for each user terminal from the controller / processor 1759, and pilot symbols for each antenna from the controller / processor 1759. A transmit (TX) multiple-input multiple-output (MIMO) processor 1757 performs digital precoding on the modulation symbols, pilot symbols, and control symbols, if applicable, and provides output symbol streams from the transmit processor 1768 to the various antenna 1752 via separate transmitters 1754. Each transmitter 1754 modulates (or conditions) a respective output symbol stream from the transmit MIMO processor 1757, converts to analog, and amplifies it to generate a modulated signal suitable for transmission over the MIMO channel. Further, the modulated signals from the transmitters 1754 are transmitted via the antennas 1752 to the second communication device 1710.

[0434] In the transmission from the first communication device 1750 to the second communication device 1710, the functionality at the second communication device 1710 is similar to the receive functionality described at the first communication device 1750 in the transmission from the second communication device 1710 to the first communication device 1750. Each receiver 1718 receives a signal from its respective antenna 1720, converts the received signal to a baseband signal, and provides the baseband signal to the transmit (TX) multiple-input multiple-output (MIMO) processor 1772 and the receive processor 1770. The receive processor 1770 and the TX MIMO processor 1772 implement the functionality of the Ll layer. A controller / processor 1775 implements the functionality of the L2 layer. The controller / processor 1775 can be associated with a memory 1776, which stores program codes and data. The memory 1776 can be referred to as a computer-readable medium. In the transmission from the first communication device 1750 to the second communication device 1710, the controller / processor 1775 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover upper layer packets from the first communication device 1750. Upper layer packets from the controller / processor 1775 can be provided to the core network or all the protocol layers above L2. Various control signals can also be provided to the core network or L3 for L3 processing.

[0435] As an embodiment, the first communication device 1750 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 first communication device 1750 apparatus at least to: receive first configuration signaling, the first configuration signaling indicating a first set of resources; perform measurements for the first set of resources, the first set of resources being located on a plurality of first type time instances; transmit first information, the first information indicating N second type time instances and a plurality of second type beam information; wherein the plurality of first type time instances are earlier than the N second type time instances, N being a positive integer; the measurement results for the first set of resources are used to determine the plurality of second type beam information; the plurality of second type beam information corresponds to the N second type time instances.

[0436] As an embodiment, the first communication device 1750 comprises: a memory storing a program of computer readable instructions to produce actions when executed by at least one processor, the actions comprising: receiving first configuration signaling, the first configuration signaling indicating a first set of resources; performing measurements for the first set of resources, the first set of resources being located on a plurality of first type time instances; transmitting first information, the first information indicating N second type time instances and a plurality of second type beam information; wherein the plurality of first type time instances are earlier than the N second type time instances, N being a positive integer; the measurement results for the first set of resources are used to determine the plurality of second type beam information; the plurality of second type beam information corresponds to the N second type time instances.

[0437] As an embodiment, the first communication device 1750 corresponds to a first node in the present application.

[0438] As an embodiment, the second communication device 1710 corresponds to a second node in the present application.

[0439] As an embodiment, the first communication device 1750 is a terminal device, which can act as a relay node.

[0440] As an embodiment, the first communication device 1750 is a terminal device supporting V2X, which can act as a relay node. As an embodiment, the first communication device 1750 is a terminal device supporting D2D, which can act as a relay node. As an embodiment, the first communication device 1750 is a network controlled relay, NCR. As an embodiment, the first communication device 1750 is a relay wireless repeater. As an embodiment, the first communication device 1750 is a relay.

[0441] As one embodiment, the second communication device 1710 is a base station.

[0442] As one embodiment, the antenna 1752, the receiver 1754, the multi-antenna reception processor 1758, the reception processor 1756, the controller / processor 1759 are configured to receive the first configuration signaling.

[0443] As one embodiment, the antenna 1752, the transmitter 1754, the multi-antenna transmission processor 1757, the transmission processor 1768, the controller / processor 1759 are configured to transmit the first information.

[0444] As one embodiment, the antenna 1720, the transmitter 1718, the multi-antenna transmission processor 1771, the transmission processor 1716, the controller / processor 1775 are configured to perform beam transmission according to the first resource set.

[0445] As one embodiment, the antenna 1720, the receiver 1718, the multi-antenna reception processor 1772, the reception processor 1770, the controller / processor 1775 are configured to receive the first information.

[0446] The embodiments of the present application further provide a computer readable storage medium for storing a program. The computer readable storage medium can be applied to the terminal or the network device provided by the embodiments of the present application, and the program causes the computer to execute the method performed by the terminal or the network device in the embodiments of the present application.

[0447] The embodiments of the present application further provide a computer program product. The computer program product includes a program. The computer program product can be applied to the terminal or the network device provided by the embodiments of the present application, and the program causes the computer to execute the method performed by the terminal or the network device in the embodiments of the present application.

[0448] The embodiments of the present application further provide a computer program. The computer program can be applied to the terminal or the network device provided by the embodiments of the present application, and the computer program causes the computer to execute the method performed by the terminal or the network device in the embodiments of the present application.

[0449] It should be understood that the terms "system" and "network" can be used interchangeably in this application. In addition, the terms used in this application are only used to explain the specific embodiments of the application, and are not intended to limit the application. The terms "first", "second", "third", and "fourth" and the like in the specification and claims of the application and the drawings are used to distinguish different objects, and are not used to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion.

[0450] In embodiments of the present application, the term "indicate" can be direct indication or indirect indication, or can represent an associated relationship. For example, A indicates B, which can mean that B can be obtained directly through A; or A indirectly indicates B, for example, A indicates C, and B can be obtained through C; or A and B have an associated relationship.

[0451] In embodiments of the present application, "B corresponding to A" means that B is associated with A, and B can be determined according to A. However, it should also be understood that determining B according to A does not mean that B is determined only according to A, but B can also be determined according to A and / or other information.

[0452] In embodiments of the present application, the term "corresponding" can represent a direct or indirect corresponding relationship between the two, or can represent an associated relationship between the two, or can represent an indication and being indicated, configuration and being configured, and the like.

[0453] In embodiments of the present application, "predefined" or "preconfigured" can be achieved by pre-saving corresponding codes, tables or other means for indicating related information in devices (such as user equipment and network equipment), and the specific implementation of the present application is not limited. For example, predefinition can refer to definition in a protocol.

[0454] In embodiments of the present application, the "protocol" can refer to a standard protocol in the communication field, which can include LTE protocol, NR protocol and related protocols applied to future communication systems, and the present application is not limited thereto.

[0455] In embodiments of the present application, the term "and / or" is only used to describe the association relationship between the associated objects, which means that there can be three relationships, for example, A and / or B, which can mean that A exists alone, A and B exist together, and B exists alone. In addition, the character " / " in this paper generally represents an "or" relationship between the front and rear associated objects.

[0456] In various embodiments of the present application, the size of the serial number of the above processes does not mean the order of execution, and the execution order of the processes should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0457] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other manners. For example, the division of the above-described device embodiments is only a logical function division, and there can be another division manner for actual implementation, for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between different units, or between the different components, can be indirect couplings or communication connections through some interfaces, devices or units, and can be in electrical, mechanical or other forms.

[0458] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e., can be located in one place, or can be distributed on multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiments.

[0459] In addition, each functional unit in the various embodiments of the present application can be integrated into a processing unit, or each unit can exist physically, or two or more units can be integrated into one unit.

[0460] In the embodiments described above, all or some of the embodiments can be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or some of the embodiments can be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded on a computer and executed, all or some of the processes or functions described in the embodiments of the present application are generated. The computer can be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions can be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center through wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) manner. The computer readable storage medium can be any available medium that can be read by a computer or a data storage device such as a server, data center, etc. integrated with one or more available media. The available media can be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a digital video disc (DVD)) or a semiconductor medium (for example, a solid state disk (SSD)) and the like.

[0461] Those skilled in the art can understand that all or part of the steps in the foregoing method can be instructed by programs to related 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 first node in the present application includes but is not limited to a mobile phone, a tablet computer, a notebook computer, a network card, a low-power device, an enhanced machine-type communication (eMTC) device, a narrow band internet of things (NB-IoT) device, a vehicle-mounted communication device, a flying vehicle, an airplane, a drone, a remote control airplane and the like wireless communication devices. The second node in the present application includes but is not limited to a mobile phone, a tablet computer, a notebook computer, a network card, a low-power device, an eMTC device, an NB-IoT device, a vehicle-mounted communication device, a flying vehicle, an airplane, a drone, a remote control airplane and the like wireless communication devices. The user equipment or UE or terminal in the present application includes but is not limited to a mobile phone, a tablet computer, a notebook computer, a network card, a low-power device, an eMTC device, an NB-IoT device, a vehicle-mounted communication device, a flying vehicle, an airplane, a drone, a remote control airplane and the like wireless communication devices. The base station device or base station or network side device in the present application includes but is not limited to a macro cellular base station, a micro cellular base station, a home base station, a relay base station, an eNB, a gNB, a TRP, a global navigation satellite system (GNSS), a relay satellite, a satellite base station, an air base station and the like wireless communication devices.

[0462] The above merely describes the specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical range disclosed in the present application, which shall be covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

A method in a first node for wireless communication, characterized by Comprising: receiving first configuration signaling, the first configuration signaling indicating a first resource set; performing measurement on the first resource set, the first resource set being located on a plurality of first-type time instances; sending first information, the first information indicating N second-type time instances and a plurality of second-type beam information; wherein the plurality of first-type time instances are earlier than the N second-type time instances, N being a positive integer; measurement results on the first resource set are used to determine the plurality of second-type beam information; the plurality of second-type beam information corresponds to the N second-type time instances. The method of claim 1, wherein The plurality of second-type beam information is determined according to a first model. The method according to claim 2, characterized in that The measurement results on the first resource set are used by the first model to determine the plurality of second-type beam information. The method according to any one of claims 1-3, characterized in that Comprising: receiving second configuration signaling, the second configuration signaling indicating a plurality of first-type beam information, the first resource set comprising a plurality of resources, the plurality of resources being respectively associated with the plurality of first-type beam information. The method according to any one of claims 1-4, characterized in that Any second-type beam information in the plurality of second-type beam information is one or more of the following: beam identification or beam index; channel state information-reference signal resource indication; synchronization signal / physical broadcast channel block resource indication; transmission configuration indication; transmission configuration indication state; downlink transmission configuration indication state; uplink transmission configuration indication state; transmission configuration indication state identification. The method according to any one of claims 1-5, characterized in that The plurality of second-type beam information is beam information in N beam information sets, the N beam information sets respectively corresponding to the N second-type time instances one by one. The method according to claim 6, characterized in that The N second-type time instances include a first time instance, a first beam information set is one of the N beam information sets corresponding to the first time instance, and the first beam information set includes beam information of one or more strongest beams in L beams on the first time instance, L being greater than 1. The method of claim 7, wherein The one or more strongest beams are K beams with the strongest signal quality in the L beams on the first time instance, or the one or more strongest beams are beams with a signal quality greater than a first threshold in the K beams with the strongest signal quality in the L beams on the first time instance, or the one or more strongest beams are K beams with a signal quality greater than a first threshold in the L beams on the first time instance, K being greater than or equal to 1. The method according to any one of claims 6-8, characterized in that The i-th beam information set in the N beam information sets comprises beam information of K i strongest beams in L beams on the i-th second-type time instance in the N second-type time instances, 1≤i≤N, K i ≥1, at least two beam information sets in the N beam information sets are different, or values of K i corresponding to at least two beam information sets in the N beam information sets are different. The method according to any one of claims 6-9, characterized in that The first information includes the N beam information sets and the N second-type time instances, the N second-type time instances corresponding to the N beam information sets one by one. The method according to any one of claims 1-9, characterized in that The first information indicates a second resource set and the plurality of second-type beam information, the second resource set being located on the N second-type time instances. The method of claim 11, wherein The first information includes an identification of the second resource set, and the identification of the second resource set is used to determine the N second-type time instances. The method according to claim 11 or 12, characterized in that The plurality of second-type beam information is the N beam information sets, any beam information set in the N beam information sets is beam information of K j strongest beams in L beams at a jthsecond-type time instance in the N second-type time instances, 1≤j≤N, K j ≥1. The method according to any one of claims 1-9, characterized in that The first information includes K T beam information and K T time instance sets, the K T time instance sets respectively correspond to the K T beam information. The method of claim 14, wherein The K T The beam information indicates L beams or N×K beams on the i-th second-type time instance among the N second-type time instances. i K in the strongest beam T Different beams. The method of claim 14, wherein The K T beam information indicates K i different beams whose signal quality is greater than a first threshold in the L T beams in the i-th second-type time instance of the N second-type time instances. The method according to any one of claims 14-16, characterized in that The K T Any of the set of time instances includes a start time instance and a duration. The method according to any one of claims 14-16, characterized in that The K T Any of the set of time instances includes a start time instance and an end time instance. The method according to any one of claims 14-18, characterized in that The first information includes an identification of a first reporting configuration and the K T set of time instances, any of the K T set of time instances includes one or more of: a start time instance and a duration; a start time instance and an end time instance. A method in a second node for wireless communication, characterized by Comprising: determining first configuration signaling, the first configuration signaling indicating a first resource set; performing beam transmission according to the first resource set, the first resource set being located on a plurality of first-type time instances; receive first information, the first information indicating N second-type time instances and a plurality of second-type beam information; wherein the plurality of first-type time instances are earlier than the N second-type time instances, N is a positive integer; measurement results for the first resource set are used to determine the plurality of second-type beam information; the plurality of second-type beam information corresponds to the N second-type time instances. The method of claim 20, wherein The plurality of second-type beam information is determined according to a first model. The method of claim 21, wherein The measurement results for the first resource set are used by the first model to determine the plurality of second-type beam information. The method according to any one of claims 20-22, characterized in that comprising: determine second configuration signaling, the second configuration signaling indicating a plurality of first-type beam information, the first resource set comprising a plurality of resources, the plurality of resources being respectively associated with the plurality of first-type beam information. The method according to any one of claims 20-23, characterized in that Any second-type beam information in the plurality of second-type beam information is one or more of the following: beam identification or beam index; channel state information-reference signal resource indication; synchronization signal / physical broadcast channel block resource indication; transmission configuration indication; transmission configuration indication state; downlink transmission configuration indication state; uplink transmission configuration indication state; transmission configuration indication state identification. The method according to any one of claims 20-24, characterized in that The plurality of second-type beam information is beam information in N beam information sets, the N beam information sets respectively corresponding to the N second-type time instances one by one. The method of claim 25, wherein The N second-type time instances include a first time instance, a first beam information set is one of the N beam information sets corresponding to the first time instance, and the first beam information set includes beam information of one or more strongest beams in L beams at the first time instance, L being greater than 1. The method of claim 26, wherein The one or more strongest beams are K beams with the strongest signal quality in the L beams at the first time instance, or the one or more strongest beams are beams with a signal quality greater than a first threshold in the K beams with the strongest signal quality in the L beams at the first time instance, or the one or more strongest beams are K beams with a signal quality greater than a first threshold in the L beams at the first time instance, K being greater than or equal to 1. The method according to any one of claims 25-27, characterized in that The i-th beam information set in the N beam information sets includes K beams in the L beams of the i-th second-type time instance among the N second-type time instances. i Beam information of the strongest beam, 1≤i≤N, K i ≥1, at least two of the N beam information sets are different, or, at least two of the N beam information sets correspond to K. i The values ​​are different. The method according to any one of claims 25-28, characterized in that The first information includes the N beam information sets and the N second-type time instances, the N second-type time instances corresponding to the N beam information sets one by one. The method according to any one of claims 20-28, characterized in that The first information indicates a second resource set and the plurality of second-type beam information, the second resource set being located at the N second-type time instances. The method of claim 30, wherein The first information includes an identification of the second resource set, and the The identification of the second resource set is used to determine the N second-type time instances. The method according to claim 30 or 31, characterized in that The plurality of second-type beam information is the N beam information sets, any beam information set in the N beam information sets is beam information of K j strongest beams in L beams at a jthsecond-type time instance in the N second-type time instances, 1≤j≤N, K j ≥1. The method according to any one of claims 20-28, characterized in that The first information includes K T beam information and K T time instance sets, the K T time instance sets respectively correspond to the K T beam information. The method of claim 33, wherein The K T The beam information indicates L beams or N×K beams on the i-th second-type time instance among the N second-type time instances. i K in the strongest beam T Different beams. The method of claim 33, wherein The K T beam information indicates K i different beams with signal quality greater than a first threshold in the L T beams in the i-th second-type time instance of the N second-type time instances. The method according to any one of claims 33-35, characterized in that The K T Any of the set of time instances includes a start time instance and a duration. The method according to any one of claims 33-35, characterized in that The K T Any of the set of time instances includes a start time instance and an end time instance. The method according to any one of claims 33-37, characterized in that The first information includes an identification of a first reporting configuration and the K T set of time instances, any of the K T set of time instances includes one or more of: a start time instance and a duration; a start time instance and an end time instance. A first node for wireless communication, characterized in that comprising: a first transceiver configured to receive first configuration signaling, the first configuration signaling indicating a first resource set; a first processor configured to perform measurement for the first resource set, the first resource set being located at a plurality of first-type time instances; the first transceiver is further configured to send first information, the first information indicating N second-type time instances and a plurality of second-type beam information; The first resource set is used for determining the second resource set. The first node according to claim 39, characterized by The first resource set is used for determining the second resource set. The first node according to claim 40, characterized by The first resource set is used for determining the second resource set. The first node according to any of claims 39-41, characterized by The first resource set is used for determining the second resource set. The first transceiver is further configured to receive second configuration signaling, the second configuration signaling indicating a plurality of first beam information, the first resource set comprising a plurality of resources, the plurality of resources being respectively associated with the plurality of first beam information. The first node according to any of the claims 39-42, characterized by Any second beam information in the plurality of second beam information is one or more of the following information: Beam identification or beam index; Channel state information-reference signal resource indication; Synchronization signal / physical broadcast channel block resource indication; Transmission configuration indication; Transmission configuration indication state; Downlink transmission configuration indication state; Uplink transmission configuration indication state; Transmission configuration indication state identification. The first node according to any of the claims 39-43, characterized by The plurality of second beam information is beam information in N beam information sets, the N beam information sets respectively corresponding to the N second time instances. The first node according to claim 44, characterized by The N second time instances comprise a first time instance, a first beam information set being one of the N beam information sets corresponding to the first time instance, the first beam information set comprising beam information of one or more strongest beams in L beams at the first time instance, L being greater than 1. The first node according to claim 45, characterized by The one or more strongest beams are K beams with the strongest signal quality in the L beams at the first time instance, or the one or more strongest beams are beams with signal quality greater than a first threshold in the K beams with the strongest signal quality in the L beams at the first time instance, or the one or more strongest beams are K beams with signal quality greater than a first threshold in the L beams at the first time instance, K being greater than or equal to 1. The first node of any of claims 44-46, characterized by The i-th beam information set in the N beam information sets includes K beams in the L beams of the i-th second-type time instance among the N second-type time instances. i Beam information of the strongest beam, 1≤i≤N, K i ≥1, at least two of the N beam information sets are different, or, at least two of the N beam information sets correspond to K. i The values ​​are different. The first node of any of claims 44-47, characterized by The first information comprises the N beam information sets and the N second time instances, the N second time instances corresponding to the N beam information sets. The first node according to any of the claims 39-47, characterized by The first information indicates a second resource set and the plurality of second beam information, the second resource set being located at the N second time instances. The first node according to claim 49, characterized by The first information comprises an identification of the second resource set, the identification of the second resource set being used for determining the N second time instances. The first node of claim 49 or 50, characterized in that The plurality of second-type beam information is the N beam information sets, any beam information set in the N beam information sets is beam information of K j strongest beams in L beams at a jthsecond-type time instance in the N second-type time instances, 1≤j≤N, K j ≥1. The first node according to any of the claims 39-47, characterized by The first information includes K T beam information and a K T set of time instances, the K T set of time instances respectively corresponding to the K T beam information. The first node of claim 52, characterized in that The K T beam information indicates K i different beams from L T beams or N x K T strongest beams in the i-th second-type time instance of the N second-type time instances. The first node of claim 52, characterized in that The K T beam information indicates K i different beams whose signal quality in the L beams or N x K T beams in the i-th second-type time instance of the N second-type time instances is greater than a first threshold. The first node of any of claims 52-54, characterized by The K T Any of the set of time instances includes a start time instance and a duration. The first node of any of claims 52-54, characterized by The K T Any of the set of time instances includes a start time instance and an end time instance. The first node of any of claims 52-56, wherein The first information includes an identification of a first reporting configuration and the K T set of time instances, any of the K T set of time instances includes one or more of: a start time instance and a duration; a start time instance and an end time instance. A second node for wireless communication, comprising: The first transceiver is further configured to receive second configuration signaling, the second configuration signaling indicating a plurality of first beam information, the first resource set comprising a plurality of resources, the plurality of resources being respectively associated with the plurality of first beam information. Any second beam information in the plurality of second beam information is one or more of the following information: Beam identification or beam index; Channel state information-reference signal resource indication; Synchronization signal / physical broadcast channel block resource indication; Transmission configuration indication; Transmission configuration indication state; Downlink transmission configuration indication state; Uplink transmission configuration indication state; Transmission configuration indication state identification. The plurality of second beam information is beam information in N beam information sets, the N beam information sets respectively corresponding to the N second time instances. The N second time instances comprise a first time instance, a first beam information set being one of the N beam information sets corresponding to the first time instance, the first beam information set comprising beam information of one or more strongest beams in L beams at the first time instance, L being greater than 1. The one or more strongest beams are K beams with the strongest signal quality in the L beams at the first time instance, or the one or more strongest beams are beams with signal quality greater than a first threshold in the K beams with the strongest signal quality in the L beams at the first time instance, or the one or more strongest beams are K beams with signal quality greater than a first threshold in the L beams at the first time instance, K being greater than or equal to 1. The first information comprises the N beam information sets and the N second time instances, the N second time instances corresponding to the N beam information sets. The first information indicates a second resource set and the plurality of second beam information, the second resource set being located at the N second time instances. The first information comprises an identification of the second resource set, the identification of the second resource set being used for determining the N second time instances. The first transceiver is further configured to receive second configuration signaling, the second configuration signaling indicating a plurality of first beam information, the first resource set comprising a plurality of resources, the plurality of resources being respectively associated with the plurality of first beam information. Any second beam information in the plurality of second beam information is one or more of the following information: Beam identification or beam index; Channel state information-reference signal resource indication; Synchronization signal / physical broadcast channel block resource indication; Transmission configuration indication; Transmission configuration indication state; Downlink transmission configuration indication state; Uplink transmission configuration indication state; Transmission configuration indication state identification. The plurality of second beam information is beam information in N beam information sets, the N beam information sets respectively corresponding to the N second time instances. The N second time instances comprise a first time instance, a first beam information set being one of the N beam information sets corresponding to the first time instance, the first beam information set comprising beam information of one or more strongest beams in L beams at the first time instance, L being greater than 1. The one or more strongest beams are K beams with the strongest signal quality in the L beams at the first time instance, or the one or more strongest beams are beams with signal quality greater than a first threshold in the K beams with the strongest signal quality in the L beams at the first time instance, or the one or more strongest beams are K beams with signal quality greater than a first threshold in the L beams at the first time instance, K being greater than or equal to 1. The first information comprises the N beam information sets and the N second time instances, the N second time instances corresponding to the N beam information sets. The first information indicates a second resource set and the plurality of second beam information, the second resource set being located at the N second time instances. The first information comprises an identification of the second resource set, the identification of the second resource set being used for determining the N second time instances. The first type of time instances are earlier than the N second type of time instances, N being a positive integer; measurement results for the first resource set are used to determine the second type of beam information; and the second type of beam information corresponds to the N second type of time instances. The second node according to claim 58, characterized by The second type of beam information is determined according to a first model. The second node of claim 59, characterized by The measurement results for the first resource set are used by the first model to determine the second type of beam information. The second node according to any of claims 58-60, characterized by The first information comprises the N beam information sets and the N second type of time instances, the N second type of time instances corresponding to the N beam information sets one by one. The first information indicates a second resource set and the second type of beam information, the second resource set being located on the N second type of time instances. The second node according to any of the claims 58-61, characterized by The first information comprises an identifier of the second resource set, the identifier of the second resource set being used to determine the N second type of time instances. The node comprises a transceiver, a memory and a processor, the memory is configured to store a program, the processor is configured to invoke the program in the memory and control the transceiver to receive or send a signal, so that the node performs the method in any one of claims 1-19 or 20-38. The apparatus comprises a processor configured to invoke a program from a memory, so that the apparatus performs the method in any one of claims 1-19 or 20-38. ​ ​ ​ ​ ​ ​ The second node according to any of the claims 58-62, characterized by ​ The second node of claim 63, characterized by ​ The second node of claim 64, characterized by ​ The second node of any one of claims 63-65, characterized by The i-th beam information set in the N beam information sets includes K beams in the L beams of the i-th second-type time instance among the N second-type time instances. i Beam information of the strongest beam, 1≤i≤N, K i ≥1, at least two of the N beam information sets are different, or, at least two of the N beam information sets correspond to K. i The values ​​are different. The second node of any of claims 63-66, wherein ​ The second node according to any of the claims 58-66, characterized by ​ The second node of claim 68, characterized by ​ The second node of claim 68 or 69, characterized by The plurality of second-type beam information is the N beam information sets, any beam information set in the N beam information sets is beam information of K j strongest beams in L beams at a jthsecond-type time instance in the N second-type time instances, 1≤j≤N, K j ≥1. The second node according to any of the claims 58-66, characterized by The first information includes K T beam information and K T time instance sets, the K T time instance sets respectively correspond to the K T beam information. The second node of claim 71, characterized by The K T beam information indicates K i different beams in L T beams in the i-th second-type time instance of the N second-type time instances. The second node of claim 71, characterized by The K T beam information indicates K i different beams with signal quality greater than a first threshold in the L T beams in the i-th second-type time instance of the N second-type time instances. The second node of any of claims 71-73, wherein The K T Any of the set of time instances includes a start time instance and a duration. The second node of any of claims 71-73, wherein The K T Any of the set of time instances includes a start time instance and an end time instance. The second node of any of claims 71-75, wherein The first information includes an identification of a first reporting configuration and the K T set of time instances, any of the K T set of time instances includes one or more of: a start time instance and a duration; a start time instance and an end time instance. A node for wireless communication, the node comprising: ​ An apparatus, characterized in that ​ A chip characterized by including a processor for calling a program from a memory, causing a device in which the chip is installed to perform the method as claimed in any one of claims 1-19 or 20-38. A computer-readable storage medium, characterized by, having a program stored thereon, the program causing a computer to perform the method as claimed in any one of claims 1-19 or 20-38. A computer program product, characterized in that including a program that causes a computer to perform the method as claimed in any one of claims 1-19 or 20-38. A computer program, characterized in that The computer program causes a computer to perform the method as claimed in any one of claims 1-19 or 20-38.

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