Wireless communication methods, terminal devices and network devices

Abstract

Provided are wireless communication methods, terminal devices and network devices. A method comprises: a terminal device receives first information sent by a network device, the first information comprising a measurement resource set and / or a prediction resource set associated with the measurement resource set which are used for reference signal resource prediction, the measurement resource set comprising one or more reference signal resources, and the prediction resource set comprising one or more reference signal resources. In this way, on the basis of the first information, the terminal device acquires the prediction resource set and the measurement resource set used for reference signal resource prediction, thereby effectively performing reference signal resource prediction by using the reference signal resources in the measurement resource set and the prediction resource set.

Description

Wireless communication methods, terminal devices, and network devices Technical Field

[0001] This application relates to the field of communication technology, and more specifically, to a wireless communication method, terminal device, and network device. Background Technology

[0002] Beam prediction based on artificial intelligence (AI) / machine learning (ML) models is widely used in various wireless communication systems and is of great significance for improving communication efficiency, reducing latency, and optimizing data transmission rates. Therefore, a reasonably determined prediction resource set and measurement resource set are necessary when performing beam prediction. Summary of the Invention

[0003] This application provides a wireless communication method, terminal device, and network device. The various aspects covered by this application are described below.

[0004] In a first aspect, a wireless communication method is provided, comprising: a terminal device receiving first information sent by a network device, the first information including a measurement resource set for predicting reference signal resources and / or a prediction resource set associated with the measurement resource set, the measurement resource set including one or more reference signal resources, and the prediction resource set including one or more reference signal resources.

[0005] In a second aspect, a wireless communication method is provided, comprising: a network device sending first information to a terminal device, the first information including a measurement resource set for predicting reference signal resources and / or a prediction resource set associated with the measurement resource set, the measurement resource set including one or more reference signal resources, and the prediction resource set including one or more reference signal resources.

[0006] Thirdly, a terminal device is provided, comprising: receiving first information sent by a network device, the first information including a measurement resource set for predicting reference signal resources and / or a prediction resource set associated with the measurement resource set, the measurement resource set including one or more reference signal resources, and the prediction resource set including one or more reference signal resources.

[0007] Fourthly, a network device is provided, comprising: sending first information to a terminal device, the first information including a measurement resource set for predicting reference signal resources and / or a prediction resource set associated with the measurement resource set, the measurement resource set including one or more reference signal resources, and the prediction resource set including one or more reference signal resources.

[0008] Fifthly, a terminal device is provided, including a transceiver, a memory, and a processor, wherein the memory is used to store a program, and the processor is used to invoke the program in the memory and control the transceiver to receive or send signals so that the terminal device performs the method as described in the first aspect.

[0009] In a sixth aspect, a network device is provided, including a transceiver, a memory, and a processor, wherein the memory is used to store a program, and the processor is used to invoke the program in the memory and control the transceiver to receive or transmit signals so that the network device performs the method as described in the second aspect.

[0010] A seventh aspect provides an apparatus including a processor for calling a program from a memory to cause the apparatus to perform the method as described in any one of the first or second aspects.

[0011] Eighthly, a chip is provided, including a processor for calling a program from memory to cause a device having the chip mounted to perform the method as described in the first or second aspect.

[0012] Ninth aspect, a computer-readable storage medium is provided having a program stored thereon that causes a computer to perform the method as described in the first or second aspect.

[0013] A tenth aspect provides a computer program product, including a program that causes a computer to perform the method as described in the first or second aspect.

[0014] Eleventhly, a computer program is provided that causes a computer to perform the method as described in the first or second aspect.

[0015] In this embodiment of the application, the network device sends first information to the terminal device. The first information includes a measurement resource set and / or a prediction resource set for reference signal resource prediction. The terminal device obtains the prediction resource set and the measurement resource set for reference signal resource prediction based on the first information, thereby effectively performing reference signal resource prediction using the reference signal resources in the measurement resource set and the prediction resource set. Attached Figure Description

[0016] Figure 1 is a system architecture example diagram of a wireless communication system applicable to the embodiments of this application.

[0017] Figure 2 is a schematic diagram of the relationship between the input and output of a spatial prediction method applicable to an embodiment of this application.

[0018] Figure 3 is a schematic diagram of the relationship between the input and output of another spatial prediction method applicable to the embodiments of this application.

[0019] Figure 4 is a schematic diagram of the relationship between the input and output of time-domain prediction applicable to the embodiments of this application.

[0020] Figure 5 is a flowchart illustrating the wireless communication method according to an embodiment of this application.

[0021] Figure 6 is a schematic diagram showing that the prediction resource set and the measurement resource set are associated with the same association identifier in an embodiment of this application.

[0022] Figure 7 is a schematic diagram showing that the prediction resource set and the measurement resource set are associated with different association identifiers in an embodiment of this application.

[0023] Figure 8 is a schematic diagram of the structure of the terminal device according to an embodiment of this application.

[0024] Figure 9 is a schematic diagram of the structure of a network device according to an embodiment of this application.

[0025] Figure 10 is a schematic diagram of a communication apparatus according to an embodiment of this application. Detailed Implementation

[0026] The technical solutions in this application will now be described with reference to the accompanying drawings.

[0027] Wireless communication system

[0028] Figure 1 is an example diagram of the system architecture of a wireless communication system 100 to which embodiments of this application can be applied. The wireless communication system 100 may include a network device 110 and a terminal device 120. The network device 110 may be a device that communicates with the terminal device 120. The network device 110 can provide network coverage for a specific geographical area and can communicate with the terminal device 120 located within that coverage area. The terminal device 120 can access a network, such as a wireless network, through the network device 110. Optionally, the wireless communication system 100 may also include other network entities such as a network controller and a mobility management entity; this embodiment of the application does not limit this.

[0029] It should be understood that the technical solutions of the embodiments of this application can be applied to various communication systems, such as: fifth generation (5G) systems, new radio (NR), long term evolution (LTE) systems, LTE frequency division duplex (FDD) systems, LTE time division duplex (TDD) systems, etc. The technical solutions provided in this application can also be applied to future communication systems, such as sixth generation mobile communication systems, satellite communication systems, etc.

[0030] In this application embodiment, the terminal device may also be referred to as user equipment (UE), access terminal, user unit, user station, mobile station, mobile station (MS), mobile terminal (MT), remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent, or user apparatus. The terminal device in this application embodiment can be a device that provides voice and / or data connectivity to a user, and can be used to connect people, objects, and machines, such as a handheld device with wireless connectivity, vehicle-mounted device, etc. Terminal devices can also be mobile phones, tablets, laptops, PDAs, mobile internet devices (MIDs), wearable devices, virtual reality (VR) devices, augmented reality (AR) devices, wireless terminals in industrial control, self-driving, remote medical surgery, smart grids, transportation safety, smart cities, and smart homes. Optionally, terminal devices can act as base stations. For example, a terminal device can act as a dispatching entity, providing sidelink signals between terminal devices in vehicle-to-everything (V2X) or device-to-device (D2D) systems. For instance, cellular phones and cars communicate with each other using sidelink signals. Cellular phones and smart home devices communicate without relaying communication signals through base stations.

[0031] In this embodiment, the network device can be a device used to communicate with a terminal device. The network device can be an access network device or a wireless access network device. For example, the network device can be a base station. The term "base station" can broadly encompass various names as follows, or can be replaced by names such as: NodeB, evolved NodeB (eNB), next-generation NodeB (gNB), relay station, transmitting and receiving point (TRP), transmitting point (TP), master station (MeNB), secondary station (SeNB), multi-mode 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. A base station can be a macro base station, micro base station, relay node, donor node, or similar entity, or a combination thereof. A base station can also refer to a communication module, modem, or chip installed within the aforementioned equipment or apparatus. A base station can also be a mobile switching center, or an entity that performs base station functions in device-to-device (D2D), vehicle-to-everything (V2X), and machine-to-machine (M2M) communications, a network-side device in a 6G network, or an entity that performs base station functions in future communication systems. A base station can support networks using the same or different access technologies. The embodiments of this application do not limit the specific technologies or device forms used in the network equipment.

[0032] Furthermore, base stations can be fixed or mobile. For example, a helicopter or drone can be configured to act as a mobile base station, and one or more cells can move depending on the location of the mobile base station. In other examples, a helicopter or drone can be configured as a device to communicate with another base station.

[0033] Network devices and terminal devices can be deployed on land, including indoors or outdoors, handheld or vehicle-mounted; they can also be deployed on water; and they can also be deployed in the air on airplanes, balloons, and satellites. This application does not limit the scenario in which the network devices and terminal devices are located.

[0034] It should be understood that all or part of the functions of the communication device in this application can also be implemented by software functions running on hardware, or by virtualization functions instantiated on a platform such as a cloud platform.

[0035] AI / ML-based beam management use cases

[0036] In the discussions of 3GPP R18 SI phase, AI / ML-based beam management, as a major use case of the R18 AI project, received widespread attention from various companies. In the 3GPP R19 WI phase, although many details regarding how to implement AI / ML-based beam management remain unresolved, 3GPP RAN1 defines two typical use cases: downlink beam prediction in the spatial domain (BM-Case 1) and time domain (BM-Case 2) of beam management (BM), i.e., spatial and temporal prediction of downlink beams.

[0037] For AI / ML-based beam management, BM-Case1 and BM-Case2 are supported for feature description and baseline performance evaluation:

[0038] •BM-Case1: Based on the measurement results of set B beams, perform spatial domain downlink (DL) beam prediction for set A beams.

[0039] •BM-Case2: Based on the historical measurement results of the beams in Set B, perform time-domain downlink beam prediction for the beams in Set A.

[0040] •FFS: Details of BM-Case1 and BM-Case2.

[0041] •FFS: Other sub-use cases.

[0042] It should be noted that for BM-Case1 and BM-Case2, the beams in Set A and Set B can be within the same frequency range (FR).

[0043] The "for further study (FFS)" option indicates that this part requires further research or discussion to determine the final solution.

[0044] Beam prediction in the spatial domain (BM-Case 1)

[0045] Spatial domain beam prediction is performed by measuring the downlink transmit beam in Set B to predict the spatial domain of the downlink transmit beam in Set A.

[0046] There is a relationship between Set B and Set A. For example, Set B can be a subset of Set A, where Set B can be considered a subset of the downlink transmit beams, and Set A can be considered the complete set of downlink transmit beams. By measuring the subset, the optimal beam in the complete set can be predicted, thereby reducing measurement overhead.

[0047] For example, Set B and Set A can also be two different beam sets. As an example, Set B can be a set of synchronization signal block / physical broadcast channel block (SS / PBCH block, SSB) resources with a small number of beams (e.g., each SSB resource has a large coverage area, which can also be called a wide beam), while Set A can be a set of channel status information-reference signal (CSI-RS) resources with a large number of beams (e.g., each CSI-RS resource has a small coverage area, which can also be called a narrow beam).

[0048] In some implementations, beam prediction in the spatial domain can be achieved using different sub-models.

[0049] For example, Figure 2 illustrates the input-output relationship of a prediction model for transmit beams. The prediction model shown in Figure 2 can solve a multi-class classification problem, namely, the problem of determining the optimal K transmit beams from the Layer 1 (L1) reference signal received power (RSRP) of a subset of beams. The input of the prediction model shown in Figure 2 is the measurement resource set of the transmit beams, for example, a portion of the L1-RSRP of the entire set of beams; the output is the prediction resource set of the transmit beams, for example, the optimal K transmit beam indices or optimal K beam pair indices selected from the entire set, i.e., the K beams or K beam pairs with the highest L1-RSRP. Here, the internal implementation of the model, i.e., the hidden layer of the prediction model, is not considered. In Figure 2, taking K=1 as an example, the labels used by this prediction model are the optimal (i.e., highest L1-RSRP) beam indices or beam pair indices measured in the entire set.

[0050] For example, Figure 3 illustrates the input-output relationship of another transmit beam prediction model. The optimal beam quality prediction model in Figure 3 solves a linear regression problem. The relationship between the input and output of this prediction model is from the L1-RSRP of the beam subset to the optimal K L1-RSRPs. The input part is the same as the prediction model in Figure 2, but the output part is different. The output of the prediction model in Figure 2 is the index of the optimal K beams or the index of the optimal K beam pairs, while the output of the prediction model in Figure 3 is the optimal K L1-RSRPs. This prediction model uses the labels of the optimal K L1-RSRPs in the entire set and the corresponding indices of the K transmit beams. Here, the internal implementation of the model, i.e., the hidden layer of the prediction model, is not considered.

[0051] Time-domain beam prediction (BM-Case 2)

[0052] Time-domain beam prediction involves measuring the transmitted beam in Set B at one or more historical moments to predict the optimal beam in Set A at one or more future moments.

[0053] Considering the use case of pure time-domain beamforming, Set B and Set A can be the same set. Of course, mixed time-domain and spatial-domain beamforming can also be considered, where Set B can be a subset of Set A, or Set B can be a different set than Set A.

[0054] For example, as shown in Figure 4, the measurement window and the prediction window are shown in sequence. The measurement interval of the downlink reference signal (RS) in the measurement window is 100ms. The reference signal is measured in 100ms granularity in the historical measurement window, and the optimal reference signal in the future prediction window is predicted based on the measurement results, which are also in 100ms granularity.

[0055] Among them, beam prediction in the time domain can be performed using a long short-term memory (LSTM) model, for example.

[0056] Configuration methods for Set B and Set A

[0057] In the Rel-18 study, the following conclusions were drawn to define the downlink measurement resource set (i.e., Set B) and the downlink prediction resource set (i.e., Set A) for BM-Case1 and BM-Case2. As an example, the terminal device uses the beams in Set B as input to the model and selects the optimal predicted beam from the beams in Set A, i.e., Set A is the prediction resource set of the optimal beam.

[0058] 1) For the sub-use case BM-Case1 of spatial domain prediction, consider the following alternative solutions:

[0059] Alternative Option 1: Set B is a subset of Set A

[0060] FFS: Number of beams in Set A and Set B.

[0061] FFS: How to determine the beams in Set B from the beams in Set A (e.g., fixed mode, random mode, etc.).

[0062] • Alternative Option 2: Set A and Set B are different beam sets (e.g., Set A consists of narrow beams, and Set B consists of wide beams).

[0063] FFS: Number of beams in Set A and Set B.

[0064] FFS: Quasi-common address (QCL) relationship between beams in Set A and beams in Set B.

[0065] FFS: Construction of Set B (e.g., regular predefined codebook, non-regular predefined codebook, etc.).

[0066] • Note 1: Set A is used for downlink beam prediction, and Set B is used for downlink beam measurement.

[0067] •Note 2: The terms “narrow beam” and “wide beam” are used only in SI discussions and have no impact on the standard.

[0068] •Note 3: The codebook construction for Set A and Set B can be specified by each company.

[0069] 2) For the time-domain prediction sub-use case BM-Case2, the following possible alternative solutions are further investigated:

[0070] • Alternative Option 1: Set A and Set B are different beam sets (e.g., Set A consists of narrow beams, and Set B consists of wide beams).

[0071] FFS: QCL relationship between beams in Set A and beams in Set B.

[0072] • Alternative Solution 2: Set B is a subset of Set A (Set A and Set B are not the same)

[0073] FFS: How to determine the beam of Set B from the beam of Set A (e.g., fixed mode, random mode, etc.).

[0074] Alternative Option 3: Set A and Set B are the same

[0075] •Note 1: The prediction beam is selected from Set A, and the measurement beam used as input is selected from Set B.

[0076] Note 2: Other alternatives are provided by the respective companies.

[0077] •Note 3: The terms “narrow beam” and “wide beam” are used only in SI discussions and have no impact on the standard.

[0078] During the Rel-19 standardization process, when configuring Set B and Set A for BM-Case1 and BM-Case2, for model inference, during the channel status information (CSI) reporting process, the network (NW) side will configure resource sets for Set B and Set A respectively, and Set B and Set A will each correspond to a CSI resource configuration in the CSI reporting framework (for example, corresponding to the CSI resource configuration identifier (CSI-ResourceConfigId)).

[0079] It should be noted that although Set A, as a prediction resource set, may appear as a configuration resource, the network device may not send this resource to the terminal device. The terminal device can only make inferences about the model through configuration, as shown in the following FFS: whether it only supports configuring resource sets for Set B.

[0080] Inference result report for the model on the terminal device side (at least for BM Case-1):

[0081] • In the CSI reporting configuration, two resource sets can be configured for Set A and Set B respectively.

[0082] FSS: Whether resource sets can only be configured for Set B.

[0083] The terminal device measures the resource set of Set B for inference, but does not expect to measure the resource set of Set A for inference.

[0084] • The beam information in the inference report refers to the resource set of Set A.

[0085] For model inference on the terminal device side of BM-Case 1 and BM-Case 2, when configuring Set A and Set B in the CSI reporting configuration:

[0086] Configure two CSI-ResourceConfigIds for Set A and Set B respectively.

[0087] Associated ID

[0088] Considering the consistency of network-side conditions and additional conditions during the model training and inference phases, the network side needs to ensure that the above two conditions are consistent during training data collection and model inference, so that the model inference on the terminal device side can guarantee sufficient performance.

[0089] For network-side conditions, network devices can be explicitly configured via radio resource control (RRC) signaling. For example, they can configure the time-frequency domain location of the measurement resources corresponding to the measurement resource set (i.e., Set B), or predict how many resources (i.e., how many beams) the resource set (i.e., Set A) includes.

[0090] However, network devices cannot directly configure NW-side additional conditions using RRC signaling. For example, the beam pattern of Set B and / or Set A (e.g., wide or narrow beam, base station antenna downtilt angle, etc.). In 3GPP, associated IDs can be used instead of network-side additional conditions that cannot be directly configured. The associated ID serves as an indication to the terminal device to ensure consistency of network-side additional conditions during the model training and inference phases. For example, during the data collection phase, if associated ID = 2 is configured, the terminal device trains a model for beam prediction based on the additional conditions indicated by associated ID = 2. During the model's inference phase, the network device configures the measurement resource set and / or prediction resource set, along with the associated associated ID = 2. Then, the terminal device knows which pre-trained model to use for inference.

[0091] Regarding the consistency of network-side additional conditions on the terminal device side during the training and inference phases of the models in BM-Case 1 and BM-Case 2, where the network-side additional conditions at least affect the terminal device's assumptions about the beams in Set A and Set B:

[0092] Option 1: Based on associated ID (refer to AI 9.1.3.3)

[0093] FFS: What assumptions can an end device make when it has the same associated ID during the training and inference phases?

[0094] FFS: How to introduce associated IDs (e.g., within or outside the CSI framework).

[0095] Option 2: Based on performance monitoring

[0096] FFS: Specific details.

[0097] Other options are not excluded.

[0098] In beam management, the model on the terminal device side supports associated IDs:

[0099] • Associated IDs can be configured at least within the CSI framework.

[0100] FSS: Specific details have not yet been finalized.

[0101] FSS: Whether / how associated IDs are configured / indicated via other signals and / or other processes / frameworks.

[0102] The terminal device assumes that the transmit beams or beam sets / lists of the downlink associated with the same associated ID have similar properties.

[0103] FFS: Whether / how to define similar properties of the downlink transmit beam or beam set / list.

[0104] CSI reporting

[0105] CSI reporting includes two types: 1) periodic or semi-continuous reporting; 2) non-periodic reporting.

[0106] To more clearly illustrate the configuration relationship between Set B and Set A, we will first introduce how CSI-ReportConfig is configured, that is, the relationship between RRC parameters under the CSI framework.

[0107] First, for periodic or semi-persistent CSI reporting, the following RRC parameters can be referenced:

[0108] The CSI-ReportConfig includes a CSI-ResourceConfigId for channel measurements, where each CSI-ResourceConfigId indicates a CSI-ResourceConfig that includes:

[0109] One NZP-CSI-RS-ResourceSetId is used to indicate a non-zero power channel state information-reference signal (NZP-CSI-RS) resource; and / or,

[0110] One CSI-SSB-ResourceSetId is used to indicate a CSI-SSB resource.

[0111] Finally, each NZP-CSI-RS-ResourceSet indicated by NZP-CSI-RS-ResourceSetId can include multiple NZP-CSI-RS-ResourceIds; each CSI-SSB-ResourceSet indicated by CSI-SSB-ResourceSetId can include multiple SSB indexes. Therefore, one CSI-ResourceConfig can be configured with a maximum of two resource sets, namely one NZP-CSI-RS resource set and one SSB resource set.

[0112] Secondly, for non-periodic CSI reporting, the CSI request field in the downlink control message (DCI) includes one non-periodic CSI trigger state (CSI-AperiodicTriggerState). Each CSI-AperiodicTriggerState includes a maximum of 16 CSI associated reporting configuration information (CSI-AssociatedReportConfigInfo), and each CSI-AssociatedReportConfigInfo can include one NZP-CSI-RS resource set or one SSB resource set. The NZP-CSI-RS resource set is selected from the NZP-CSI-RS resource set in CSI-ResourceConfig within CSI-ReportConfig, and the SSB resource set is selected from the SSB resource set in CSI-ResourceConfig within CSI-ReportConfig. Therefore, each CSI Trigger State triggered by DCI includes a maximum of 16 resource sets (e.g., 16 SSB resource sets or 16 NZP-CSI-RS resource sets). Here is an example of specific RRC parameters:

[0113] In CSI-ReportConfig, if only one measurement resource set (i.e., Set B) is configured for the model's input and one prediction resource set (i.e., Set A) is configured for the model's output, the terminal device naturally pairs the measurement resource set and prediction resource set, thus using the associated measurement resource set and prediction resource set as the model's input and output, respectively. However, if multiple measurement resource sets and multiple prediction resource sets are configured in CSI-ReportConfig, the terminal device cannot directly find the associated measurement resource sets and prediction resource sets; that is, the terminal device cannot determine the one-to-one correspondence between multiple measurement resource sets and multiple prediction resource sets.

[0114] Therefore, in this embodiment of the application, a network device sends first information to a terminal device. This first information includes a measurement resource set and / or a prediction resource set for reference signal resource prediction. The terminal device obtains the prediction resource set and the measurement resource set based on the first information, thereby effectively performing reference signal resource prediction using the reference signal resources in the measurement resource set and the prediction resource set. Furthermore, this embodiment of the application also proposes that, when multiple measurement resource sets and prediction resource sets are configured, the terminal device can determine the association between the measurement resource sets and the prediction resource sets through predetermined rules or instructions from the network device, thereby effectively performing reference signal resource prediction.

[0115] The embodiments of this application will be described in detail below with reference to Figure 5.

[0116] Figure 5 is a flowchart illustrating a wireless communication method provided in an embodiment of this application. The method 500 shown in Figure 5 can be executed by a terminal device and a network device. The terminal device can be, for example, the terminal device 120 shown in Figure 1, and the network device can be, for example, the network device 110 shown in Figure 1.

[0117] Referring to Figure 5, in step 510, the network device sends the first information to the terminal device.

[0118] Accordingly, in step 520, the terminal device receives the first information sent by the network device.

[0119] The first information includes a measurement resource set and / or a prediction resource set used for reference signal resource prediction. The measurement resource set and the prediction resource set are associated; for example, the measurement resource set serves as the input to a prediction model, and the prediction resource set serves as the output of that prediction model, which is a model used for reference signal resource prediction, such as an AI / ML model.

[0120] The first information may be carried, for example, in RRC signaling and / or DCI. The RRC signaling is used, for example, by the terminal device to report CSI; for example, the RRC signaling may be the aforementioned CSI-ReportConfig or CSI-ResourceConfig. The CSI reporting may be, for example, periodic CSI reporting, semi-persistent CSI reporting, or CSI reporting triggered by a network device. The first information may include a predicted resource set, or the first information may include a measurement resource set, or the first information may include both a predicted resource set and a measurement resource set. Where the first information includes both a predicted resource set and a measurement resource set, the predicted resource set and the measurement resource set may be carried in the same CSI-ResourceConfig, or they may be carried in different CSI-ResourceConfigs.

[0121] In this embodiment of the application, the measurement resource set may be, for example, the aforementioned Set B, or simply the measurement set; the prediction resource set may be, for example, the aforementioned Set A, or simply the prediction set.

[0122] Here, the reference signal includes, for example, a downlink reference signal (e.g., CSI-RS and / or SSB), and correspondingly, the reference signal resource includes downlink reference signal resources (e.g., CSI-RS resources and / or SSB resources). Reference signal resources refer to resources associated with the reference signal, such as the resource location, number of beams, and type of reference signal. Furthermore, it should be noted that the reference signal described in this embodiment can also be replaced with beams, spatial transmission filters, etc. That is, this embodiment uses a reference signal to associate the transmit beam. In the beam indication process, the transmission configuration indicator (TCI) state (including the downlink reference signal) can also be used to refer to the transmit beam.

[0123] Based on the first information, the terminal device can acquire a set of measurement resources and / or a set of prediction resources for reference signal resource prediction, thereby effectively performing reference signal resource prediction using the reference signal resources in the set of measurement resources and the set of prediction resources.

[0124] If the network device configures only one measurement resource set and one prediction resource set for the terminal device, then the terminal device knows that the measurement resource set and the prediction resource set are associated and can be used as the input and output of the prediction model. If the network device configures multiple prediction resource sets and multiple measurement resource sets for the terminal device, then the terminal device needs to know the relationship between the multiple prediction resource sets and the multiple measurement resource sets.

[0125] Example 1

[0126] In some implementations, the terminal device determines the association between the measurement resource set and the prediction resource set based on predetermined rules. For example, the associated measurement resource set and prediction resource set included in the first information satisfy the following condition: the ranking position of the measurement resource set among multiple measurement resource sets is the same as the ranking position of the prediction resource set among multiple prediction resource sets. In other words, multiple measurement resource sets and multiple prediction resource sets with the same ranking position are associated with each other.

[0127] As an example, taking periodic and semi-persistent CSI reporting as an example, two CSI-ResourceConfigIds can be configured in one CSI-ReportConfig. Specifically, resourceForChannelMeasurement is used as the configuration for one measurement resource set, i.e., Set B, corresponding to one CSI-ResourceConfigId. A new parameter, resourceForChannelMeasurement2 (or resourceForChannelPrediction), is introduced as the configuration for one prediction resource set, i.e., Set A, corresponding to one CSI-ResourceConfigId. It should be noted that since Set A is the model's prediction resource set, the terminal device does not need to perform actual measurements but instead refers to the configuration of this resource set for prediction. Next, each CSI-ResourceConfig can include up to two resource sets (e.g., the NZP-CSI-RS resource set and / or the SSB resource set, corresponding to NZP-CSI-RS-ResourceSetId and / or CSI-SSB-ResourceSetId, respectively). Examples of specific RRC parameters are as follows:

[0128] To represent the association between Set B and Set A, a mapping can be established between multiple Set B resource sets and multiple Set A resource sets based on their order of appearance. In the CSI-ResourceConfig corresponding to Set B resource sets, the multiple Set B resource sets are sorted according to their order of appearance; similarly, in the CSI-ResourceConfig corresponding to Set A resource sets, the multiple Set A resource sets are also sorted according to their order of appearance. For example, the first Set B resource set (or the first NZP-CSI-RS resource set or SSB resource set of Set B) in multiple Set B resource sets is associated with the first Set A resource set (or the first NZP-CSI-RS resource set or SSB resource set of Set A) in multiple Set A resource sets; the second Set B resource set (or the second NZP-CSI-RS resource set or SSB resource set of Set B) in multiple Set B resource sets is associated with the second Set A resource set (or the third NZP-CSI-RS resource set or SSB resource set of Set A) in multiple Set A resource sets; ...; the Nth Set B resource set (or the Nth NZP-CSI-RS resource set or SSB resource set of Set B) in multiple Set B resource sets is associated with the Nth Set A resource set (or the Nth NZP-CSI-RS resource set or SSB resource set of Set A) in multiple Set A resource sets. N is a positive integer, and N is less than or equal to the number of multiple Set B resource sets and / or multiple Set A resource sets.

[0129] Example 2

[0130] In some implementations, the network device may explicitly configure the association between a measurement resource set and a prediction resource set for the terminal device. For example, the first information may include a measurement resource set, and the measurement resource set may also include information about the prediction resource set associated with that measurement resource set (e.g., identification information of the prediction resource set). As another example, the first information may include a prediction resource set, and the prediction resource set may also include information about the measurement resource set associated with that prediction resource set (e.g., identification information of the measurement resource set).

[0131] As an example, taking periodic and semi-persistent CSI reporting, when configuring the reference signal resources of the measurement resource set (Set B), for either NZP-CSI-RS-ResourceSet or CSI-SSB-ResourceSet, an associated prediction resource set (Set A) index can be configured. Alternatively, when configuring the reference signal resources of Set A, for either NZP-CSI-RS-ResourceSet or CSI-SSB-ResourceSet, an associated Set B resource set index can be configured. Specific RRC parameter examples are as follows:

[0132] In this way, when a measurement resource set is configured or activated, the terminal device can simultaneously obtain the index of the prediction resource set associated with that measurement resource set and find the configuration of that prediction resource set based on that index. Similarly, when a prediction resource set is configured or activated, the terminal device can also simultaneously obtain the index of the measurement resource set associated with that prediction resource set and find the configuration of that measurement resource set based on that index.

[0133] In some implementations, the first information may further include a list of measurement resource sets and / or a list of prediction resource sets, wherein the list of measurement resource sets includes multiple measurement resource sets, and the list of prediction resource sets includes multiple prediction resource sets. The first information may include a list of prediction resource sets, or it may include a list of measurement resource sets, or it may include both a list of prediction resource sets and a list of measurement resource sets simultaneously. Where the first information includes both a list of prediction resource sets and a list of measurement resource sets, the list of measurement resource sets is associated with the list of prediction resource sets; that is, multiple measurement resource sets in the list of measurement resource sets are associated with multiple prediction resource sets in the list of prediction resource sets. The association between multiple measurement resource sets and multiple prediction resource sets may, for example, be determined based on the sorting position of the resource sets; that is, multiple measurement resource sets are associated with measurement resource sets and prediction resource sets that have the same sorting position in the multiple prediction resource sets. For example, the first measurement resource set in multiple measurement resource sets is associated with the first prediction resource set in multiple prediction resource sets, the second measurement resource set in multiple measurement resource sets is associated with the second prediction resource set in multiple prediction resource sets, ..., the Mth measurement resource set in multiple measurement resource sets is associated with the Mth prediction resource set in multiple prediction resource sets, where M is a positive integer.

[0134] For non-periodic CSI reporting, the prediction resource set and the measurement resource set can be hosted in the same CSI-ResourceConfig, or in different CSI-ResourceConfigs. These are described below.

[0135] For example, for resource configurations in non-periodic CSI reporting, if Set B and Set A belong to the same CSI-ReportConfig, an additional resource set can be configured in the associated CSI-ReportConfig, resulting in two resource sets, corresponding to the measurement resource set and the prediction resource set, respectively. As an example, an additional associated resourceForChannel2 can be configured, including either an NZP-CSI-RS resource set or an SSB resource set. The parameter resourceSet or csi-SSB-ResourceSet refers to selecting one resource set from the resource set in the associated CSI-ReportConfig used for channel measurements. If Set B and Set A belong to the same CSI-ReportConfig, and this CSI-ReportConfig includes an SSB resource set and / or a CSI-RS resource set, then the following four scenarios are possible: Set A is the CSI-RS resource set and Set B is the SSB resource set; Set A is the SSB resource set and Set B is the CSI-RS resource set; Set A is the CSI-RS resource set and Set B is the CSI-RS resource set; Set A is the SSB resource set and Set B is the SSB resource set. From the perspective of model implementation, the terminal device can use the two associated resource sets as the measurement resource set and prediction resource set of the model, respectively.

[0136] For example, when dealing with non-periodic CSI reported resource configurations, if Set B and Set A belong to different CSI-ReportConfigs, it is necessary to associate the two different CSI-ReportConfigs. This could be achieved by adding a new parameter, associatedReportConfigInfoList2, which includes multiple CSI-ReportConfigs, each associated with a different CSI-ReportConfig in associatedReportConfigInfoList.

[0137] The following are examples of specific RRC signaling when Set B and Set A belong to the same or different CSI-ReportConfig:

[0138] In some implementations, the first information may further include second information, which indicates the association between multiple measurement resource sets and multiple prediction resource sets. For example, when a measurement resource set is a subset of a prediction resource set, the first information may also include second information, which indicates reference signal resources in the prediction resource set that belong to the measurement resource set.

[0139] In some implementations, the second information includes a bitmap, which includes multiple bits corresponding to multiple reference signal resources in the prediction resource set, wherein the values ​​of the bits corresponding to the reference signal resources belonging to the measurement resource set are different from the values ​​of the bits corresponding to the reference signal resources not belonging to the measurement resource set.

[0140] As an example, the measurement resource set Set B is a subset of the prediction resource set Set A. In one CSI-ReportConfig, one CSI-ResourceConfig is configured for Set A, including one NZP-CSI-RS-ResourceSet and / or one CSI-SSB-ResourceSet, forming one prediction resource set. For this prediction resource set, an associated second piece of information, such as a bitmap, can be configured to indicate which reference signal resources in the prediction resource set belong to Set B. This associates the prediction resource set with the measurement resource set. For instance, if an NZP-CSI-RS prediction resource set includes 16 reference signal resources, and 4 of these reference signal resources also belong to the reference signal resources in the measurement resource set, then the bitmap could be represented as {0001 0001 0010 0010}, meaning the reference signal resources in Set B are a subset of the 4th, 8th, 11th, and 15th reference signal resources from the 16 reference signal resources in Set A.

[0141] Additionally, it should be noted that for the NZP-CSI-RS resources or SSB resources in NZP-CSI-RS-ResourceSetId and / or CSI-SSB-ResourceSetId, the measurement resources indicated by the second information (e.g., the reference signal resources corresponding to the bits with a value of 1 in the bitmap) need to be actually measured by the terminal device as input to the model; the prediction resources indicated by the second information (e.g., the reference signal resources corresponding to the bits with a value of 0 in the bitmap) do not need to be actually measured by the terminal device, but are only used as a candidate optimal beam of the prediction set.

[0142] In addition to basing the association between the prediction resource set and the measurement resource set on pre-agreed rules or configuring the relationship between them through network devices, embodiments of this application also propose methods for indicating the association between the prediction resource set and the measurement resource set based on other signaling. For example, in some implementations, method 500 may further include the network device sending third information to the terminal device. Accordingly, the terminal device receives the third information sent by the network device. The third information is used to activate and / or deactivate the associated measurement resource set and / or prediction resource set. The third information may, for example, be carried in a media access control element (MAC CE).

[0143] As an example, taking periodic and semi-persistent CSI reporting as an example, network devices can use MAC CE to activate and / or deactivate a set of measurement resource sets and prediction resource sets for beam prediction for terminal devices. The MAC CE may include some or all of the following information:

[0144] 1) Serving cell index;

[0145] 2) CSI-ReportConfigId (used for reporting beam prediction);

[0146] 3) CSI-ResourceConfigId (used to configure the measurement resource set), which includes the index of the measurement resource set, i.e., Set B (e.g., NZP-CSI-RS-ResourceSetId or CSI-SSB-ResourceSetId);

[0147] 4) CSI-ResourceConfigId (used to configure the prediction resource set), which includes the index of the prediction resource set, i.e., Set A (e.g., NZP-CSI-RS-ResourceSetId or CSI-SSB-ResourceSetId).

[0148] The aforementioned measurement resource set and prediction resource set, as a pair of related resource sets, represent the input and output of the prediction model applied to beam prediction, respectively, from the perspective of model implementation.

[0149] The embodiments of this application also consider the auxiliary role of other information in predicting the correlation between the resource set and the measurement set resources.

[0150] In some implementations, the first information may further include fourth information associated with the measurement resource set and / or fourth information associated with the prediction resource set. The fourth information indicates applicable conditions for the prediction of reference signal resources. These applicable conditions are related to the network device, for example, to its hardware configuration (e.g., antenna size, antenna angle, antenna height, transmit power, beam pattern) and / or software configuration (e.g., software program, data). The fourth information may, for example, be the aforementioned associated ID.

[0151] In some implementations, the fourth information for measuring the association of resource sets can be the same as or different from the fourth information for predicting the association of resource sets.

[0152] For example, the measurement resource set and the prediction resource set are associated with the same associated ID. During the model inference training phase, the dataset obtained by the terminal device includes the measurement resource set and the prediction resource set, and this dataset is configured with an associated ID to ensure the consistency of additional conditions on the network side during training and inference.

[0153] During the model inference phase, in the RRC parameter configuration process, the measurement resource set (Set B) is associated with one associated ID. The terminal device can find the configuration of the corresponding prediction resource set (Set A) by looking up the configuration during the model training phase.

[0154] Alternatively, during the model inference phase, in the RRC parameter configuration process, the prediction resource set, i.e., Set A, is associated with an associated ID. The terminal device can find the corresponding measurement resource set, i.e., Set B, by looking up the configuration from the model training phase.

[0155] Taking Figure 6 as an example, associated ID 1 is associated with a pair of resource sets, namely Set B and Set A, where Set B includes 4 reference signal resources and Set A includes 8 reference signal resources; associated ID 2 is associated with a pair of resource sets, namely Set B and Set A, where Set B includes 6 reference signal resources and Set A includes 16 reference signal resources.

[0156] For example, the measurement resource set and the prediction resource set can be associated with different associated IDs. During the model training phase, the dataset obtained by the terminal device includes a measurement resource set and a prediction resource set. Each of these sets can be configured with a corresponding associated ID to ensure consistency of additional conditions applied to the network during training and inference. To distinguish them, the associated ID associated with the prediction resource set is denoted as associated ID-A, and the associated ID associated with the measurement resource set is denoted as associated ID-B. Based on the configured dataset and associated ID-A and associated ID-B, the terminal device completes model training and stores the relevant information of the model.

[0157] During the model inference phase, Set B is configured in CSI-ReportConfig, along with a pair of associated IDs, A and B. The terminal device can determine the corresponding Set A based on associated IDs A and B. Alternatively, during the model inference phase, Set A is configured in CSI-ReportConfig, along with a pair of associated IDs, A and B. The terminal device can determine the corresponding Set B based on associated IDs A and B. Or, during the model inference phase, a pair of associated IDs, A and B are configured in CSI-ReportConfig. The terminal device can determine both Set B and Set A based on associated IDs A and B.

[0158] Taking Figure 7 as an example, the first pair of association identifiers includes associated ID-A and associated ID-B, where associated ID-B = 1, and its associated Set B includes 4 reference signal resources; associated ID-A = 3, and its associated Set A includes 8 reference signal resources; the second pair of association identifiers includes associated ID-A and associated ID-B, where associated ID-B = 7, and its associated Set B includes 6 reference signal resources; associated ID-A = 12, and its associated Set A includes 16 reference signal resources.

[0159] As can be seen, the above examples consider the possibility of configuring multiple measurement resource sets (Set B) and multiple prediction resource sets (Set A) for beam prediction within the existing CSI-ReportConfig framework. The terminal device needs to know which pair of associated (or paired) measurement and prediction resource sets to use for prediction model inference. To this end, this application provides various methods for associating measurement and prediction resource sets, such as predefined association rules, RRC configuration, MAC CE activation, and DCI dynamic triggering. Furthermore, the auxiliary role of associated IDs in the association relationship between prediction and measurement resource sets is also considered.

[0160] The method embodiments of this application have been described in detail above with reference to Figures 1 to 7. The apparatus embodiments of this application will be described in detail below with reference to Figures 8 to 10. It should be understood that the descriptions of the method embodiments correspond to the descriptions of the apparatus embodiments. Therefore, any parts not described in detail can be referred to the foregoing method embodiments.

[0161] Figure 8 is a schematic diagram of the structure of a terminal device provided in an embodiment of this application. The terminal device 800 shown in Figure 8 may include a transceiver unit 810. The transceiver unit 810 is used to receive first information sent by a network device. The first information includes a measurement resource set for reference signal resource prediction and / or a prediction resource set associated with the measurement resource set. The measurement resource set includes one or more reference signal resources, and the prediction resource set includes one or more reference signal resources.

[0162] In some implementations, the ranking position of the measurement resource set among multiple measurement resource sets is the same as the ranking position of the prediction resource set among multiple prediction resource sets.

[0163] In some implementations, the measurement resource set may also include information about a prediction resource set associated with the measurement resource set; and / or, the prediction resource set may also include information about a measurement resource set associated with the prediction resource set.

[0164] In some implementations, the first information further includes: a list of measurement resource sets, comprising multiple measurement resource sets; and a list of prediction resource sets, comprising multiple prediction resource sets associated with the multiple measurement resource sets.

[0165] In some implementations, the measurement resource set is a subset of the prediction resource set, and the first information further includes second information, which is used to indicate reference signal resources in the prediction resource set that belong to the measurement resource set.

[0166] In some implementations, the second information includes a bitmap, which includes multiple bits corresponding to multiple reference signal resources in the prediction resource set, wherein the values ​​of the bits corresponding to the reference signal resources belonging to the measurement resource set are different from the values ​​of the bits corresponding to the reference signal resources not belonging to the measurement resource set.

[0167] In some implementations, the transceiver unit 810 is further configured to: receive third information sent by the network device, the third information being used to activate and / or deactivate the measurement resource set and / or the prediction resource set.

[0168] In some implementations, the third information is carried in the MAC CE.

[0169] In some implementations, the first information is carried in RRC signaling and / or DCI, and the RRC signaling and DCI are used by the terminal device to report Channel State Information (CSI).

[0170] In some implementations, the CSI reporting includes periodic CSI reporting, semi-persistent CSI reporting, or CSI reporting triggered by network devices.

[0171] In some implementations, the first information further includes: fourth information associated with the measurement resource set; and / or, fourth information associated with the prediction resource set; wherein the fourth information is used to indicate applicable conditions for reference signal resource prediction, the applicable conditions being related to network devices.

[0172] In some implementations, the fourth information associated with the measurement resource set may be the same as or different from the fourth information associated with the prediction resource set.

[0173] In some implementations, the reference signal resources include CSI-RS resources and / or SSB resources.

[0174] It is understood that the transceiver unit 810 may be, for example, a transceiver 1030. Additionally, the terminal device 800 may optionally include a processor 1010 and a memory 1020, as shown in Figure 10.

[0175] Figure 9 is a schematic diagram of the structure of a network device provided in an embodiment of this application. The network device 900 shown in Figure 9 may include a transceiver unit 910. The transceiver unit 910 is used to send first information to a terminal device. The first information includes a measurement resource set for predicting reference signal resources and / or a prediction resource set associated with the measurement resource set. The measurement resource set includes one or more reference signal resources, and the prediction resource set includes one or more reference signal resources.

[0176] In some implementations, the ranking position of the measurement resource set among multiple measurement resource sets is the same, and the ranking position of the prediction resource set is the same among multiple prediction resource sets.

[0177] In some implementations, the measurement resource set may also include information about a prediction resource set associated with the measurement resource set; and / or, the prediction resource set may also include information about a measurement resource set associated with the prediction resource set.

[0178] In some implementations, the first information further includes: a list of measurement resource sets, comprising multiple measurement resource sets; and a list of prediction resource sets, comprising multiple prediction resource sets associated with the multiple measurement resource sets.

[0179] In some implementations, the measurement resource set is a subset of the prediction resource set, and the first information further includes second information, which is used to indicate reference signal resources in the prediction resource set that belong to the measurement resource set.

[0180] In some implementations, the second information includes a bitmap, which includes multiple bits corresponding to multiple reference signal resources in the prediction resource set, wherein the values ​​of the bits corresponding to the reference signal resources belonging to the measurement resource set are different from the values ​​of the bits corresponding to the reference signal resources not belonging to the measurement resource set.

[0181] In some implementations, the transceiver unit 910 is further configured to: send third information to the terminal device, the third information being used to activate and / or deactivate the measurement resource set and / or the prediction resource set.

[0182] In some implementations, the third information is carried in the MAC CE.

[0183] In some implementations, the first information is carried in RRC signaling and / or DCI, and the RRC signaling and DCI are used by the terminal device to report Channel State Information (CSI).

[0184] In some implementations, the CSI reporting includes periodic CSI reporting, semi-persistent CSI reporting, or CSI reporting triggered by network devices.

[0185] In some implementations, the first information further includes: fourth information associated with the measurement resource set; and / or, fourth information associated with the prediction resource set; wherein the fourth information is used to indicate applicable conditions for reference signal resource prediction, the applicable conditions being related to network devices.

[0186] In some implementations, the fourth information associated with the measurement resource set may be the same as or different from the fourth information associated with the prediction resource set.

[0187] In some implementations, the reference signal resources include CSI-RS resources and / or SSB resources.

[0188] It is understood that the transceiver unit 910 may be, for example, a transceiver 1030. Additionally, the network device 900 may optionally include a processor 1010 and a memory 1020, as detailed in Figure 10.

[0189] Figure 10 is a schematic structural diagram of a communication apparatus according to an embodiment of this application. The dashed lines in Figure 10 indicate that the unit or module is optional. The apparatus 1000 can be used to implement the methods described in the above method embodiments. The apparatus 1000 may be, for example, a chip, a terminal device, or a network device.

[0190] Apparatus 1000 may include one or more processors 1010. Processor 1010 may support apparatus 1000 in implementing the methods described in the foregoing method embodiments. Processor 1010 may be a general-purpose processor or a special-purpose processor. For example, processor 1010 may be a central processing unit (CPU). Alternatively, processor 1010 may also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. General-purpose processors may be microprocessors or any conventional processor, etc.

[0191] The apparatus 1000 may further include one or more memories 1020. The memories 1020 store programs that can be executed by the processor 1010, causing the processor 1010 to perform the methods described in the above method embodiments. The memories 1020 may be independent of the processor 1010, or they may be integrated into the processor 1010.

[0192] The device 1000 may also include a transceiver 1030. The processor 1010 can communicate with other devices or chips through the transceiver 1030. For example, the processor 1010 can send and receive data with other devices or chips through the transceiver 1030.

[0193] This application also provides a communication system. The communication system includes the terminal device and network device described above. In some implementations, the system further includes other devices that interact with the terminal device and network device.

[0194] This application also provides a computer-readable storage medium for storing a program. This computer-readable storage medium can be applied to a terminal device or network device provided in this application, and the program causes a computer to execute the methods performed by the terminal device or network device in various embodiments of this application.

[0195] This application also provides a computer program product. The computer program product includes a program. This computer program product can be applied to a terminal device or network device provided in this application embodiment, and the program causes a computer to execute the methods performed by the terminal device or network device in the various embodiments of this application.

[0196] This application also provides a computer program. This computer program can be applied to the terminal device or network device provided in this application, and the computer program causes the computer to execute the methods performed by the terminal device or network device in the various embodiments of this application.

[0197] It should be understood that the terms "system" and "network" in the embodiments of this application can be used interchangeably. Furthermore, the terminology used in this application is only for explaining specific embodiments of this application and is not intended to limit this application. The terms "first," "second," "third," and "fourth," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. In addition, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion.

[0198] In the embodiments of this application, the term "instruction" can be a direct instruction, an indirect instruction, or an indication of a relationship. For example, A instructing B can mean that A directly instructs B, such as B being able to obtain information through A; it can also mean that A indirectly instructs B, such as A instructing C, so B can obtain information through C; or it can mean that there is a relationship between A and B.

[0199] In the embodiments of this application, "B corresponding to A" means that B is associated with A, and B can be determined based on A. However, it should also be understood that determining B based on A does not mean that B is determined solely based on A; B can also be determined based on A and / or other information.

[0200] In the embodiments of this application, the term "correspondence" can indicate a direct or indirect correspondence between two things, or an association between two things, or a relationship such as instruction and being instructed, configuration and being configured.

[0201] In this application embodiment, "predefined" or "preconfigured" can be implemented by pre-storing corresponding codes, tables, or other means that can be used to indicate relevant information in the device (e.g., including terminal devices and network devices). This application does not limit the specific implementation method. For example, predefined can refer to what is defined in the protocol.

[0202] In this application embodiment, the "protocol" may refer to a standard protocol in the field of communication, such as the LTE protocol, the NR protocol, and related protocols applied to future communication systems. This application does not limit this.

[0203] In the embodiments of this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0204] In the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0205] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0206] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0207] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0208] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially 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 and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can read or a data storage device such as a server or data center that integrates one or more available media. The available media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., digital video discs (DVDs)), or semiconductor media (e.g., solid-state disks (SSDs)).

[0209] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for wireless communication, characterized in that, include: The terminal device receives first information sent by the network device. The first information includes a measurement resource set for predicting reference signal resources and / or a prediction resource set associated with the measurement resource set. The measurement resource set includes one or more reference signal resources, and the prediction resource set includes one or more reference signal resources.

2. The method according to claim 1, characterized in that, The ranking position of the measurement resource set among multiple measurement resource sets is the same as the ranking position of the prediction resource set among multiple prediction resource sets.

3. The method according to claim 1 or 2, characterized in that, The measurement resource set also includes information about a prediction resource set associated with the measurement resource set; and / or, The prediction resource set also includes information about the measurement resource set associated with the prediction resource set.

4. The method according to any one of claims 1 to 3, characterized in that, The first information also includes: A list of measurement resource sets, including multiple measurement resource sets; and, The prediction resource set list includes multiple prediction resource sets associated with the multiple measurement resource sets.

5. The method according to any one of claims 1 to 4, characterized in that, The measurement resource set is a subset of the prediction resource set, and the first information further includes second information, which is used to indicate the reference signal resources in the prediction resource set that belong to the measurement resource set.

6. The method according to claim 5, characterized in that, The second information includes a bitmap, which includes multiple bits corresponding to multiple reference signal resources in the prediction resource set, wherein the values ​​of the bits corresponding to the reference signal resources belonging to the measurement resource set are different from the values ​​of the bits corresponding to the reference signal resources not belonging to the measurement resource set.

7. The method according to any one of claims 1 to 6, characterized in that, The method further includes: The terminal device receives third information sent by the network device, the third information being used to activate and / or deactivate the measurement resource set and / or the prediction resource set.

8. The method according to claim 7, characterized in that, The third information is carried in the Media Access Control (MAC) element CE.

9. The method according to any one of claims 1 to 8, characterized in that, The first information is carried in Radio Resource Control (RRC) signaling and / or Downlink Control Information (DCI), and the RRC signaling and the DCI are used by the terminal device to report Channel State Information (CSI).

10. The method according to claim 9, characterized in that, The CSI reporting includes periodic CSI reporting, semi-persistent CSI reporting, or CSI reporting triggered by network devices.

11. The method according to any one of claims 1 to 10, characterized in that, The first information also includes: The fourth information associated with the measurement resource set; and / or, The fourth piece of information associated with the predicted resource set; The fourth piece of information is used to indicate the applicable conditions for reference signal resource prediction, and the applicable conditions are related to network devices.

12. The method according to claim 11, characterized in that, The fourth information associated with the measurement resource set may be the same as or different from the fourth information associated with the prediction resource set.

13. The method according to any one of claims 1 to 12, characterized in that, The reference signal resources include Channel State Information Reference Signal (CSI-RS) resources and / or Synchronization Signal Broadcast Channel Block (SSB) resources.

14. A method for wireless communication, characterized in that, include: The network device sends first information to the terminal device. The first information includes a measurement resource set for predicting reference signal resources and / or a prediction resource set associated with the measurement resource set. The measurement resource set includes one or more reference signal resources, and the prediction resource set includes one or more reference signal resources.

15. The method according to claim 14, characterized in that, The ranking position of the measurement resource set among multiple measurement resource sets, and the ranking position of the prediction resource set is the same among multiple prediction resource sets.

16. The method according to claim 14 or 15, characterized in that, The measurement resource set also includes information about a prediction resource set associated with the measurement resource set; and / or, The prediction resource set also includes information about the measurement resource set associated with the prediction resource set.

17. The method according to any one of claims 14 to 16, characterized in that, The first information also includes: A list of measurement resource sets, including multiple measurement resource sets; and, The prediction resource set list includes multiple prediction resource sets associated with the multiple measurement resource sets.

18. The method according to any one of claims 14 to 17, characterized in that, The measurement resource set is a subset of the prediction resource set, and the first information further includes second information, which is used to indicate the reference signal resources in the prediction resource set that belong to the measurement resource set.

19. The method according to claim 18, characterized in that, The second information includes a bitmap, which includes multiple bits corresponding to multiple reference signal resources in the prediction resource set, wherein the values ​​of the bits corresponding to the reference signal resources belonging to the measurement resource set are different from the values ​​of the bits corresponding to the reference signal resources not belonging to the measurement resource set.

20. The method according to any one of claims 14 to 19, characterized in that, The method further includes: The network device sends third information to the terminal device, the third information being used to activate and / or deactivate the measurement resource set and / or the prediction resource set.

21. The method according to claim 20, characterized in that, The third information is carried in the Media Access Control (MAC) element CE.

22. The method according to any one of claims 14 to 21, characterized in that, The first information is carried in Radio Resource Control (RRC) signaling and / or Downlink Control Information (DCI), and the RRC signaling and the DCI are used by the terminal device to report Channel State Information (CSI).

23. The method according to claim 22, characterized in that, The CSI reporting includes periodic CSI reporting, semi-persistent CSI reporting, or CSI reporting triggered by network devices.

24. The method according to any one of claims 14 to 23, characterized in that, The first information also includes: The fourth information associated with the measurement resource set; and / or, The fourth piece of information associated with the predicted resource set; The fourth piece of information is used to indicate the applicable conditions for reference signal resource prediction, and the applicable conditions are related to network devices.

25. The method according to claim 24, characterized in that, The fourth information associated with the measurement resource set may be the same as or different from the fourth information associated with the prediction resource set.

26. The method according to any one of claims 14 to 25, characterized in that, The reference signal resources include Channel State Information Reference Signal (CSI-RS) resources and / or Synchronization Signal Broadcast Channel Block (SSB) resources.

27. A wireless communication terminal device, characterized in that, include: A transceiver unit is configured to receive first information sent by a network device. The first information includes a measurement resource set for predicting reference signal resources and / or a prediction resource set associated with the measurement resource set. The measurement resource set includes one or more reference signal resources, and the prediction resource set includes one or more reference signal resources.

28. The terminal device according to claim 27, characterized in that, The ranking position of the measurement resource set among multiple measurement resource sets is the same as the ranking position of the prediction resource set among multiple prediction resource sets.

29. The terminal device according to claim 27 or 28, characterized in that, The measurement resource set also includes information about a prediction resource set associated with the measurement resource set; and / or, The prediction resource set also includes information about the measurement resource set associated with the prediction resource set.

30. The terminal device according to any one of claims 27 to 29, characterized in that, The first information also includes: A list of measurement resource sets, including multiple measurement resource sets; and, The prediction resource set list includes multiple prediction resource sets associated with the multiple measurement resource sets.

31. The terminal device according to any one of claims 27 to 30, characterized in that, The measurement resource set is a subset of the prediction resource set, and the first information further includes second information, which is used to indicate the reference signal resources in the prediction resource set that belong to the measurement resource set.

32. The terminal device according to claim 31, characterized in that, The second information includes a bitmap, which includes multiple bits corresponding to multiple reference signal resources in the prediction resource set, wherein the values ​​of the bits corresponding to the reference signal resources belonging to the measurement resource set are different from the values ​​of the bits corresponding to the reference signal resources not belonging to the measurement resource set.

33. The terminal device according to any one of claims 27 to 32, characterized in that, The transceiver unit is also used for: The network device receives third information, which is used to activate and / or deactivate the measurement resource set and / or the prediction resource set.

34. The terminal device according to claim 33, characterized in that, The third information is carried in the Media Access Control (MAC) element CE.

35. The terminal device according to any one of claims 27 to 34, characterized in that, The first information is carried in Radio Resource Control (RRC) signaling and / or Downlink Control Information (DCI), and the RRC signaling and the DCI are used by the terminal device to report Channel State Information (CSI).

36. The terminal device according to claim 35, characterized in that, The CSI reporting includes periodic CSI reporting, semi-persistent CSI reporting, or CSI reporting triggered by network devices.

37. The terminal device according to any one of claims 27 to 36, characterized in that, The first information also includes: The fourth information associated with the measurement resource set; and / or, The fourth piece of information associated with the predicted resource set; The fourth piece of information is used to indicate the applicable conditions for reference signal resource prediction, and the applicable conditions are related to network devices.

38. The terminal device according to claim 37, characterized in that, The fourth information associated with the measurement resource set may be the same as or different from the fourth information associated with the prediction resource set.

39. The terminal device according to any one of claims 37 to 38, characterized in that, The reference signal resources include Channel State Information Reference Signal (CSI-RS) resources and / or Synchronization Signal Broadcast Channel Block (SSB) resources.

40. A wireless communication network device, characterized in that, include: A transceiver unit is configured to send first information to a terminal device. The first information includes a measurement resource set for predicting reference signal resources and / or a prediction resource set associated with the measurement resource set. The measurement resource set includes one or more reference signal resources, and the prediction resource set includes one or more reference signal resources.

41. The network device according to claim 40, characterized in that, The ranking position of the measurement resource set among multiple measurement resource sets, and the ranking position of the prediction resource set is the same among multiple prediction resource sets.

42. The network device according to claim 40 or 41, characterized in that, The measurement resource set also includes information about a prediction resource set associated with the measurement resource set; and / or, The prediction resource set also includes information about the measurement resource set associated with the prediction resource set.

43. The network device according to any one of claims 40 to 42, characterized in that, The first information also includes: A list of measurement resource sets, including multiple measurement resource sets; and, The prediction resource set list includes multiple prediction resource sets associated with the multiple measurement resource sets.

44. The network device according to any one of claims 40 to 43, characterized in that, The measurement resource set is a subset of the prediction resource set, and the first information further includes second information, which is used to indicate the reference signal resources in the prediction resource set that belong to the measurement resource set.

45. The network device according to claim 44, characterized in that, The second information includes a bitmap, which includes multiple bits corresponding to multiple reference signal resources in the prediction resource set, wherein the values ​​of the bits corresponding to the reference signal resources belonging to the measurement resource set are different from the values ​​of the bits corresponding to the reference signal resources not belonging to the measurement resource set.

46. ​​The network device according to any one of claims 40 to 45, characterized in that, The transceiver unit is also used for: Send a third message to the terminal device, the third message being used to activate and / or deactivate the measurement resource set and / or the prediction resource set.

47. The network device according to claim 46, characterized in that, The third information is carried in the Media Access Control (MAC) element CE.

48. The network device according to any one of claims 40 to 47, characterized in that, The first information is carried in Radio Resource Control (RRC) signaling and / or Downlink Control Information (DCI), and the RRC signaling and the DCI are used by the terminal device to report Channel State Information (CSI).

49. The network device according to claim 48, characterized in that, The CSI reporting includes periodic CSI reporting, semi-persistent CSI reporting, or CSI reporting triggered by network devices.

50. The network device according to any one of claims 40 to 49, characterized in that, The first information also includes: The fourth information associated with the measurement resource set; and / or, The fourth piece of information associated with the predicted resource set; The fourth piece of information is used to indicate the applicable conditions for reference signal resource prediction, and the applicable conditions are related to network devices.

51. The network device according to claim 50, characterized in that, The fourth information associated with the measurement resource set may be the same as or different from the fourth information associated with the prediction resource set.

52. The network device according to any one of claims 40 to 51, characterized in that, The reference signal resources include Channel State Information Reference Signal (CSI-RS) resources and / or Synchronization Signal Broadcast Channel Block (SSB) resources.

53. A terminal device, characterized in that, The device includes a transceiver, a memory, and a processor. The memory stores a program, and the processor invokes the program in the memory and controls the transceiver to receive or send signals so that the terminal device performs the method according to any one of claims 1 to 13.

54. A network device, characterized in that, The device includes a transceiver, a memory, and a processor. The memory stores a program, and the processor invokes the program in the memory and controls the transceiver to receive or transmit signals so that the network device performs the method according to any one of claims 14 to 26.

55. An apparatus, characterized in that, Includes a processor for calling a program from memory to cause the apparatus to perform the method according to any one of claims 1 to 26.

56. A chip, characterized in that, Includes a processor for calling a program from memory, causing a device on which the chip is mounted to perform the method according to any one of claims 1 to 26.

57. A computer-readable storage medium, characterized in that, It contains a program that causes a computer to perform the method according to any one of claims 1 to 26.

58. A computer program product, characterized in that, Includes a program that causes a computer to perform the method according to any one of claims 1 to 26.

59. A computer program, characterized in that, The computer program causes the computer to perform the method according to any one of claims 1 to 26.

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