Method for wireless communication and communication device

Abstract

Provided are a method for wireless communication and a communication device. The method for wireless communication comprises: a first device acquires an RRM measurement result corresponding to a first frequency domain resource, wherein the RRM measurement result corresponding to the first frequency domain resource is used for predicting RRM information corresponding to a second frequency domain resource, and / or, the RRM measurement result corresponding to the first frequency domain resource is used for predicting related information of a mobility event corresponding to a second frequency domain resource.

Description

Methods and communication devices for wireless communication Technical Field

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

[0002] In some communication systems (such as new radio (NR) systems), terminal equipment needs to perform a large number of radio resource management (RRM) measurements to make cell handover decisions based on the RRM measurement results, resulting in high measurement overhead for terminal equipment.

[0003] Summary of the Invention

[0004] This application provides a method and a communication device for wireless communication. The various aspects covered by this application are described below.

[0005] In a first aspect, a method for wireless communication is provided, comprising: a first device acquiring RRM measurement results corresponding to a first frequency domain resource; wherein the RRM measurement results corresponding to the first frequency domain resource are used to predict RRM information corresponding to a second frequency domain resource, and / or, the RRM measurement results corresponding to the first frequency domain resource are used to predict relevant information of a mobility event corresponding to the second frequency domain resource.

[0006] In a second aspect, a communication device is provided, comprising: an acquisition module, configured to acquire RRM measurement results corresponding to a first frequency domain resource; wherein the RRM measurement results corresponding to the first frequency domain resource are used to predict RRM information corresponding to a second frequency domain resource, and / or the RRM measurement results corresponding to the first frequency domain resource are used to predict relevant information of mobility events corresponding to the second frequency domain resource.

[0007] Thirdly, a communication device is provided, including a processor, a memory, and a communication interface, wherein the memory is used to store one or more computer programs, and the processor is used to invoke the computer programs in the memory to cause the communication device to perform some or all of the steps in the method of the first aspect.

[0008] Fourthly, embodiments of this application provide a communication system that includes the aforementioned communication device. In another possible design, the system may further include other devices that interact with the communication device as described in the embodiments of this application.

[0009] Fifthly, embodiments of this application provide a computer-readable storage medium storing a computer program that causes a computer to perform some or all of the steps in the method of the first aspect.

[0010] Sixthly, embodiments of this application provide a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps in the method of the first aspect. In some implementations, the computer program product may be a software installation package.

[0011] In a seventh aspect, embodiments of this application provide a chip including a memory and a processor, the processor being able to call and run a computer program from the memory to implement some or all of the steps described in the method of the first aspect.

[0012] In this embodiment, the first device can predict the RRM information of the second frequency domain resource and / or the relevant information of the mobility event corresponding to the second frequency domain resource based on the RRM measurement results of the first frequency domain resource. In other words, this embodiment can predict the RRM information and / or the relevant information of the mobility event of another frequency domain resource based on the measurement results of one frequency domain resource, which helps reduce the measurement overhead of the terminal device. Attached Figure Description

[0013] Figure 1 is a system architecture example diagram of a wireless communication system applicable to the embodiments of this application.

[0014] Figure 2 is an example diagram of the structure of a neuron.

[0015] Figure 3 is an example diagram of a neural network model applicable to the embodiments of this application.

[0016] Figure 4 is an example diagram of a convolutional neural network model applicable to the embodiments of this application.

[0017] Figure 5 is an example diagram of a long short-term memory (LSTM) model applicable to embodiments of this application.

[0018] Figure 6 is a scenario example diagram of RRM prediction and / or prediction of mobility events.

[0019] Figure 7 is an example diagram of the model provided in an embodiment of this application.

[0020] Figure 8 is another example diagram of the model provided in the embodiments of this application.

[0021] Figure 9 is an example diagram of the first resource set and the second resource set provided in the embodiments of this application.

[0022] Figure 10 is a flowchart illustrating a method for wireless communication provided in an embodiment of this application.

[0023] Figure 11 is a flowchart illustrating a method for wireless communication provided in another embodiment of this application.

[0024] Figure 12 is a flowchart illustrating a method for wireless communication provided in another embodiment of this application.

[0025] Figure 13 is a schematic diagram of the structure of the communication device provided in an embodiment of this application.

[0026] Figure 14 is a schematic structural diagram of the communication device provided in an embodiment of this application. Detailed Implementation

[0027] Communication system architecture

[0028] Figure 1 is a system architecture example diagram of a wireless communication system 100 applicable to embodiments of this application. 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 may provide communication coverage for a specific geographical area and may communicate with the terminal device 120 located within that coverage area.

[0029] Figure 1 illustrates an exemplary network device and two terminal devices. Optionally, the wireless communication system 100 may include multiple network devices, and each network device may include other numbers of terminal devices within its coverage area. This application embodiment does not limit this.

[0030] Optionally, the wireless communication system 100 may also include other network entities such as a network controller and a mobility management entity, which is not limited in this embodiment.

[0031] It should be understood that the technical solutions of the embodiments of this application can be applied to various communication systems, such as: 5th generation (5G) systems or 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 6th generation mobile communication systems, satellite communication systems, and so on.

[0032] The terminal device in this application embodiment can 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 device. 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. The terminal devices in the embodiments of this application can 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, etc. Optionally, the UE can act as a base station. For example, the UE can act as a scheduling entity, providing sidelink signals between UEs in V2X or D2D, etc. For example, cellular phones and cars communicate with each other using sidelink signals. Cellular phones and smart home devices communicate without relaying communication signals through a base station.

[0033] The network device in this application embodiment can be a device for communicating with a terminal device. This network device can also be called an access network device or a wireless access network device, such as a base station. In this application embodiment, the network device can refer to a radio access network (RAN) node (or device) that connects the terminal device to the wireless network. A base station can broadly encompass, or be replaced by, various names including: NodeB, evolved NodeB (eNB), next-generation NodeB (gNB), relay station, transmitting and receiving point (TRP), transmitting point (TP), master MeNB, auxiliary 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, or a combination thereof. A base station can also refer to a communication module, modem, or chip installed within the aforementioned equipment or apparatus. Base stations can also be mobile switching centers, devices that perform base station functions in device-to-device (D2D), vehicle-to-everything (V2X), and machine-to-machine (M2M) communications, network-side devices in 6G networks, and devices that perform base station functions in future communication systems. Base stations 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.

[0034] 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.

[0035] In some deployments, the network device in this application embodiment may refer to a CU or a DU, or the network device may include both a CU and a DU. The gNB may also include an AAU.

[0036] 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.

[0037] 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 (e.g., a cloud platform).

[0038] Neural Networks

[0039] In recent years, research in artificial intelligence (AI), represented by neural networks, has yielded results in many fields. A neural network can be understood as a computational model composed of multiple interconnected neuron nodes. The connections between neuron nodes can represent the weighted values ​​from the input signal to the output signal, usually called weight parameters. Each neuron node can perform weighted summation on different input signals and output the result through a specific activation function.

[0040] Neurons can achieve nonlinear mappings using activation functions. As shown in Figure 2, the input of a neuron can be denoted as A, and each dimension of the input can be denoted as a. j The corresponding weight parameter is denoted as w. j The weight parameters, along with summation units (SUs), can enhance or weaken the input, where j takes values ​​of 1, 2, ..., n. The output of the SU can then be nonlinearly mapped using an activation function f to obtain the output t.

[0041] Neural networks can produce different outputs by using different connection methods, weight parameters, and activation functions of multiple neurons, thereby fitting the mapping relationship from input to output.

[0042] The neural network applicable to the embodiments of this application is described below with reference to Figure 3. The neural network shown in Figure 3 includes an input layer 310, a hidden layer 320, and an output layer 330. Generally, the first layer of the neural network is the input layer 310, the last layer is the output layer 330, and the intermediate layers between the first and last layers are all hidden layers 320.

[0043] The input layer 310 is used to input data, which may be, for example, a received signal received by a receiver. The hidden layer 320 is used to process the input data, for example, to decompress the received signal. The output layer 330 is used to output the processed data, for example, to output the decompressed signal.

[0044] As shown in Figure 3, the neural network consists of multiple layers, each containing multiple neurons. The neurons between layers can be fully connected or partially connected. For connected neurons, the output of a neuron in the previous layer can serve as the input of a neuron in the next layer.

[0045] A neural network where neurons are fully connected between layers can be called a deep neural network (DNN). In some embodiments, DNNs can be used for spatial filter prediction in the spatial domain.

[0046] Besides DNNs, common neural networks also include convolutional neural networks (CNNs) and recurrent neural networks (RNNs).

[0047] CNN is a deep neural network with convolutional structures, as shown in Figure 4. It can include an input layer 410, a convolutional layer 420, a pooling layer 430, a fully connected layer 440, and an output layer 450.

[0048] Each convolutional layer 420 can include many convolution operators, also known as kernels. These kernels can be viewed as filters that extract specific information from the input signal. Essentially, a convolution operator is a parameter matrix, which is usually predefined. The parameter values ​​in these matrices need to be obtained through extensive training in practical applications. The parameter matrices formed by these trained parameter values ​​can extract information from the input signal, thereby helping the CNN make correct predictions.

[0049] After a convolutional layer 420, a pooling layer 430 is often introduced periodically to reduce the number of training parameters. For example, a pooling layer can be followed by a convolutional layer. Alternatively, one or more pooling layers can be followed by multiple convolutional layers.

[0050] After processing by convolutional layer 420 and pooling layer 430, the CNN is still insufficient to output the required information. This is because convolutional layer 420 and pooling layer 430 only extract features and reduce the parameters introduced by the input data. To generate the final output information (e.g., the bitstream of the original information transmitted by the transmitter), the CNN also needs to utilize fully connected layer 440. Typically, fully connected layer 440 can include multiple hidden layers, and the parameters contained in these hidden layers can be pre-trained based on relevant training data for a specific task type. For example, the task type may include decoding data signals received by a receiver, or it may include channel estimation based on pilot signals received by the receiver.

[0051] It should be noted that the CNN shown in Figure 4 is only an example of a convolutional neural network. In specific applications, convolutional neural networks can also exist in the form of other network models, and this application embodiment does not limit this.

[0052] In traditional neural network models (e.g., CNNs), layers are fully connected, but nodes within each layer are unconnected. This type of neural network performs poorly when processing sequential data. Therefore, Recurrent Neural Networks (RNNs) were introduced to handle sequential data. In an RNN, the current output of a sequence is related to both the sequence's input and previous outputs. That is, in an RNN, the network memorizes previous information and applies it to the calculation of the current output; nodes in the hidden layers are no longer unconnected but connected, and the input to a hidden layer includes not only the output of the input layer but also the output of the hidden layer from the previous time step.

[0053] Currently, related technologies have introduced LSTM models to address the gradient explosion or vanishing problem in RNNs. The LSTM model is a typical RNN that can be used for temporal prediction. Specifically, the LSTM model can memorize information from past time steps and use it in the calculation of the current output. That is, in the LSTM model, the nodes between hidden layers are no longer unconnected but connected, and the input to the hidden layer includes not only the input layer but also the output of the hidden layer from the previous time step.

[0054] Referring to Figure 5, LSTM introduces a new memory unit, ct (also known as a cell state), for linear recurrent information transmission, while simultaneously outputting information to the external state ht of the hidden layer. At each time step t, ct records the historical information up to the current time step. Unlike RNNs, which only consider the most recent state, ct determines which states should be retained and which should be forgotten, thus addressing the shortcomings of traditional RNNs in long-term memory.

[0055] Referring again to Figure 5, to achieve the above state selection, the memory unit introduces a gate control mechanism to control the information transmission path, similar to a gate in a data circuit, where "0" represents closed and "1" represents open. The memory unit includes a forget gate 510, an input gate 520, and an output gate 530. The forget gate 510 controls how much information the memory unit ct-1 from the previous time step needs to forget. The input gate 520 controls how much information of the candidate state at the current time step needs to be stored, and the output gate 530 controls how much information of the memory unit ct at the current time step needs to be output to the external state ht.

[0056] LSTM models, as neural network models for modeling sequence data, have achieved remarkable results in the field of natural language processing (such as machine translation and speech recognition). However, the application of LSTM models is not limited to natural language processing; they can be used for any time-related predictions. For example, when predicting information related to mobility events (such as L1 / L2 triggered mobility (LTM) events), the mobility of the terminal device needs to be considered, thus requiring consideration of the terminal device's movement trajectory in the time domain; therefore, LSTM models can also be used.

[0057] LTM

[0058] Early versions of the NR system (such as versions 15 to 17) only supported Layer 3 mobility, specifically Radio Resource Control (RRC) mobility. Later, in version 18, NR introduced LTM to reduce handover latency. From the physical layer (Layer 1), the terminal device, through downlink measurement resources configured by the network device, can measure multiple cells (including the terminal device's current serving cell and neighboring cells) and report the measurement results to the network device. This measurement process is called RRM measurement. Subsequently, the network device can instruct the terminal device to select a target cell and / or target spatial filter via a handover command (or cell switch command, CSC) so that the terminal device can hand over to the target cell and / or target spatial filter.

[0059] After measuring multiple cells configured on the network equipment, the terminal device can report up to Q×L measurement results in a single report, where L is the number of cells to be reported, and Q is the number of spatial filters in each reported cell. The specific number of measurement results reported by the terminal device depends on its capabilities. Typically, the terminal device can select the L cells with the strongest signal quality for reporting. Within each reported cell, the terminal device can select the Q spatial filters with the strongest signal quality (or link quality) for reporting. Taking the Layer 1 reference signal receiving power (RSRP) as an example, the terminal device can report the measurement results of the spatial filters and / or cells with the strongest RSRP at Layer 1.

[0060] In LTM scenarios, terminal devices only report RRM measurement results to network devices and do not make their own determinations regarding whether a cell handover should be triggered. Network devices can determine whether to trigger an LTM handover based on the RRM measurement results reported by the terminal device. For example, when the network device determines that an LTM handover should be triggered, it can instruct the terminal device to switch to the target cell using a handover command.

[0061] In some embodiments, the switching command may be, for example, a medium access control element (MAC CE).

[0062] In some embodiments, the handover command may include one or more of the following information: target cell information, target spatial filter information. In some embodiments, the target cell information may be indicated by the cell index. In some embodiments, the target spatial filter information may be indicated by an identifier of the Uniform Transmission Configuration Indicator (TCI) status.

[0063] As can be seen from the above description, the terminal device needs to perform a large number of RRM measurements and report the measurement results to the network device so that the network device can make cell handover decisions based on the obtained RRM measurement results. This results in a significant measurement overhead for the terminal device. Furthermore, during the process of performing a large number of RRM measurements, the terminal device may require measurement gap protection, thus necessitating the suspension of downlink reception and uplink transmission within the cell, affecting normal communication.

[0064] Taking LTM as an example, since the current protocol does not define the reporting of LTM event triggers, terminal devices can only perform measurements on multiple cells and / or multiple spatial filters, and report a large number of measurement results to network devices, resulting in high measurement overhead for terminal devices. Even if subsequent protocols define the reporting of LTM event triggers, terminal devices will still need to perform a large number of RRM measurements to determine whether the conditions for triggering a mobility event are met. The measurement behavior itself will also consume a lot of measurement resources (such as the time and frequency resources occupied by beam scanning), resulting in high measurement overhead for terminal devices.

[0065] To address the aforementioned issues, related technologies propose utilizing RRM measurement results obtained from terminal devices for RRM prediction (prediction can also be referred to as inference, deduction, etc.) and / or mobility event prediction, thereby reducing the measurement overhead of terminal devices. In other words, terminal devices or network devices can predict RRM information and / or mobility event-related information based on the RRM measurement results obtained from the terminal devices.

[0066] As an example, a terminal device or network device can use the RRM measurement results obtained by the terminal device as input to the model, and then output the predicted RRM information through the model.

[0067] As another example, terminal devices or network devices can use the RRM measurement results obtained by the terminal device as input to a model, which then outputs relevant information about predicted mobility events. For instance, the terminal device can use the RRM measurement results to predict whether a particular mobility event will occur, and what information about the event if it does occur. In one implementation, the terminal device or network device can compare the model's predictions with defined mobility events to determine whether a mobility event will occur at a future time and which mobility event will occur.

[0068] Current RRM predictions and / or mobility event predictions are performed in the time domain. For better understanding, Figure 6 will be used as an example. It should be noted that the example in Figure 6 illustrates the model deployed on the terminal device side. Referring to Figure 6, the terminal device moves from the current serving cell #1 through candidate cell #2 to candidate cell #1. During the terminal device's movement, it performs K historical measurements. Based on the RRM measurement results of these K measurements, the terminal device can predict the results at F future time points (i.e., the predicted RRM information) and determine whether a mobility event (such as an LTM event) has occurred based on this prediction.

[0069] However, current RRM measurements are all performed in the same frequency domain resources (such as the same carrier or frequency band). As a result, when terminal devices or network devices perform RRM prediction and / or mobility event prediction, the terminal devices still need to perform a large number of RRM measurements, resulting in a large measurement overhead for the terminal devices.

[0070] Based on this, embodiments of this application provide a method and device for wireless communication, capable of predicting RRM information and / or mobility event-related information for another frequency domain resource based on measurement results of one frequency domain resource. This helps reduce the measurement overhead of terminal devices, thereby ensuring normal communication. In other words, embodiments of this application can learn the correlation of link performance on different frequency domain resources through a model, thereby utilizing the correlation of measurement results on different frequency domain resources to perform frequency domain RRM prediction and / or mobility event prediction, reducing the measurement overhead of terminal devices. Alternatively, embodiments of this application, based on time domain prediction, add the attribute of frequency domain prediction, enabling measurement and prediction to be performed on different frequency domain resources.

[0071] The reason why the embodiments of this application can learn the correlation of link performance on different frequency domain resources through the model is that the measurement results are correlated on different frequency domain resources. For example, the measurement results of the terminal device in the low frequency band (such as frequency range 1 (FR1)) often indicate the coverage performance of the terminal device in the high frequency band (such as FR2).

[0072] The prediction scheme of this application embodiment is described below.

[0073] The embodiments of this application can predict RRM information corresponding to a second frequency domain resource and / or predict relevant information of mobility events corresponding to the second frequency domain resource based on the RRM measurement results corresponding to the first frequency domain resource. In other words, the embodiments of this application can perform RRM prediction on the second frequency domain resource and / or prediction of mobility events on the second frequency domain resource based on the RRM measurement results corresponding to the first frequency domain resource.

[0074] In the embodiments of this application, the first frequency domain resource and the second frequency domain resource are different frequency domain resources.

[0075] This application does not limit the granularity of frequency domain resource partitioning. In some embodiments, frequency domain resources can be determined according to one or more of the following granularities: carrier, frequency band, and frequency band combination. That is, in this application embodiment, the first frequency domain resource and / or the second frequency domain resource can be determined according to one or more of the following granularities: carrier, frequency band, and frequency band combination.

[0076] As an example, the first frequency domain resource and the second frequency domain resource are divided according to carriers. In this case, the first frequency domain resource can be a first carrier, and the second frequency domain resource can be a second carrier. In some embodiments, the first carrier and the second carrier can be different carriers.

[0077] As another example, the first frequency domain resource and the second frequency domain resource are divided according to frequency bands. In this case, the first frequency domain resource can be a first frequency band, and the second frequency domain resource can be a second frequency band. In some embodiments, the first frequency band and the second frequency band can be different frequency bands.

[0078] As another example, the first frequency domain resource and the second frequency domain resource are divided according to frequency band combinations. In this case, the first frequency domain resource can be a first frequency band combination, and the second frequency domain resource can be a second frequency band combination. In some embodiments, the first frequency band combination and the second frequency band combination can be different frequency band combinations.

[0079] The following sections will introduce the relevant information on RRM information and mobility events.

[0080] In some embodiments, RRM information may refer to predicted information related to RRM, or in other words, RRM information may refer to prediction information used for RRM. That is, the "RRM information" mentioned in the embodiments of this application can be understood or replaced with information related to RRM; or understood or replaced with prediction information used for RRM.

[0081] In some embodiments, RRM information can be used for cell handover. For example, RRM information can be used for LTM handover or Layer 3 cell handover. In some embodiments, using RRM information for cell handover can be understood as using RRM information to determine the conditions for cell handover.

[0082] This application does not limit the content of the RRM information, as long as the RRM information is used for RRM. For example, the RRM information may include one or more of the following: RRM prediction results of one or more cells, frequency domain resource information corresponding to the RRM prediction results of one or more cells, and time domain resource information corresponding to the RRM prediction results of one or more cells.

[0083] In some embodiments, the RRM prediction result refers to the prediction result used for RRM. Taking the RRM measurement result as the RSRP of layer 1 as an example, the RRM prediction result can refer to the predicted RSRP of layer 1. Taking the RRM measurement result as the reference signal receiving quality (RSRQ) of layer 1 as an example, the RRM prediction result can refer to the predicted RSRQ of layer 1. Taking the RRM measurement result as the RSRP of layer 3 as an example, the RRM prediction result can refer to the predicted RSRP of layer 3.

[0084] This application does not limit the information included in the RRM prediction results of one or more cells. For example, the RRM prediction results of one or more cells may include one or more of the following: cell identifier, spatial filter identifier, cell-level RRM prediction results, and spatial filter-level RRM prediction results.

[0085] It should be noted that the cell-level RRM prediction result is calculated based on the spatial filter-level RRM prediction result. Taking the calculation of the cell-level Layer 1 RSRP as an example, the terminal device can measure N spatial filters within a cell. The number of S spatial filters whose corresponding Layer 1 RSRPs exceed a certain RSRP threshold is then calculated. In this case, the terminal device can average these S Layer 1 RSRPs, and the average value can be used as the cell-level Layer 1 RSRP.

[0086] This application does not limit the cell identifier. For example, the cell identifier may include one or more of the following: physical cell identifier (PCI), cell global identifier (CGI), cell index, etc.

[0087] This application does not limit the identification of the spatial filter. For example, the identification of the spatial filter may include one or more of the following: the identification of the synchronization signal block (SSB) associated with the spatial filter, the identification of the channel state information-reference signal (CSI-RS) associated with the spatial filter, etc.

[0088] It should be noted that, in the embodiments of this application, the spatial filter can be understood or replaced by one or more of the following: beam, physical beam, logical beam, spatial domain filter, spatial transmission filter, spatial reception filter, antenna port, etc., and the embodiments of this application are not limited thereto.

[0089] In some embodiments, the spatial filter of this application embodiment can be indicated using a downlink reference signal (such as SSB or CSI-RS). For example, during measurement and reporting, the spatial filter can be indicated using a downlink reference signal. In some embodiments, the spatial filter of this application embodiment can be indicated using a TCI state. For example, during cell handover indication, the spatial filter can be indicated using a TCI state.

[0090] As an example, the RRM prediction results for one or more cells may include the cell identifier and the cell-level RRM prediction results.

[0091] As another example, the RRM prediction results for one or more cells may include the cell identifier, the spatial filter identifier, and the RRM prediction results at the spatial filter level.

[0092] As another example, the RRM prediction results for one or more cells may include cell identifiers, spatial filter identifiers, cell-level RRM prediction results, and spatial filter-level RRM prediction results.

[0093] In some embodiments, the frequency domain resource information corresponding to the RRM prediction result can be used to indicate which frequency domain resource the RRM prediction result is on. For example, if the frequency domain resource information corresponding to the RRM prediction result is a second frequency domain resource (such as a second carrier or a second frequency band), then the RRM prediction result is an RRM prediction result on the second frequency domain resource (such as a second carrier or a second frequency band).

[0094] In some embodiments, the temporal resource information corresponding to the RRM prediction result can be used to indicate on which temporal resource the RRM prediction result is on, that is, at which future time the RRM prediction result is on. Taking the temporal resource information corresponding to the RRM prediction result as the first symbol as an example, then the RRM prediction result is the RRM prediction result on the first symbol. This application does not limit the granularity of temporal resources. In some embodiments, temporal resources can be divided according to symbols. In some embodiments, temporal resources can be divided according to time slots. In some embodiments, temporal resources can be divided according to milliseconds. Of course, temporal resources can also be divided according to other granularities such as subframes, half-frames, and microseconds.

[0095] Taking the RRM measurement result corresponding to the first frequency domain resource as the Layer 1 RSRP as an example, the RRM information corresponding to the second frequency domain resource may include one or more of the following: the predicted Layer 1 RSRP of one or more cells, the frequency domain resource information corresponding to the one or more Layer 1 RSRPs, and the time domain resource information corresponding to the one or more Layer 1 RSRPs. Taking the RRM measurement result corresponding to the first frequency domain resource as the Layer 1 RSRQ as an example, the RRM information corresponding to the second frequency domain resource may include one or more of the following: the predicted Layer 1 RSRQ of one or more cells, the frequency domain resource information corresponding to the one or more Layer 1 RSRQs, and the time domain resource information corresponding to the one or more Layer 1 RSRQs. Taking the RRM measurement result corresponding to the first frequency domain resource as the Layer 3 RSRP as an example, the RRM information corresponding to the second frequency domain resource may include one or more of the following: the predicted Layer 3 RSRP of one or more cells, the frequency domain resource information corresponding to the one or more Layer 3 RSRPs, and the time domain resource information corresponding to the one or more Layer 3 RSRPs.

[0096] In some embodiments, the RRM information described above is obtained through model prediction. Alternatively, the RRM information described above is the model's output information. The model's input and output are described below with reference to Figure 7.

[0097] The model in Figure 7 can predict the RRM information corresponding to the second frequency domain resource based on the RRM measurement results of the first frequency domain resource. As shown in Figure 7, the input of the model can include one or more RRM measurement results, which are measured on the first frequency domain resource. The output of the model can include: the RRM prediction results of one or more cells, the frequency domain resource information corresponding to the RRM prediction results of the one or more cells, and the time domain resource information corresponding to the RRM prediction results of the one or more cells.

[0098] In some embodiments, information related to mobility events may be used to indicate one or more of the following: whether one or more mobility events have occurred, and information about the mobility events that have occurred.

[0099] In some embodiments, the one or more mobility events include LTM events. However, the embodiments of this application are not limited thereto; for example, the one or more mobility events may also include layer 3 mobility events.

[0100] In some embodiments, the one or more mobility events are configured by the network device. In some embodiments, the one or more mobility events are predefined by the protocol.

[0101] In some embodiments, the one or more mobility events may include cell-level mobility events and / or spatial filter-level mobility events.

[0102] In some embodiments, a cell-level mobility event may include one or more of the following: the link performance of the serving cell is better than a first threshold, the link performance of the serving cell is weaker than a second threshold, the link performance of the candidate cell is better than the sum of the link performance of the current serving cell and a first offset, the link performance of the candidate cell is better than a third threshold, the link performance of the serving cell is weaker than a fourth threshold and the link performance of the candidate cell is better than a fifth threshold, and the interference of the candidate cell to the terminal device is higher than a sixth threshold.

[0103] In some embodiments, the link performance of the serving cell and / or the candidate cell is measured. In some embodiments, the link performance of the serving cell and / or the candidate cell is predicted.

[0104] In some embodiments, the mobility event at the spatial filter level may include one or more of the following: the performance of the serving spatial filter of the serving cell is better than the seventh threshold; the performance of the serving spatial filter of the serving cell is weaker than the eighth threshold; the performance of the candidate spatial filter of the candidate cell is better than the sum of the performance of the serving spatial filter of the current serving cell and the second offset; the performance of the candidate spatial filter of the candidate cell is better than the ninth threshold; the performance of the serving spatial filter of the serving cell is weaker than the tenth threshold and the performance of the candidate spatial filter of the candidate cell is better than the eleventh threshold; the interference of the candidate spatial filter of the candidate cell to the terminal device is higher than the twelfth threshold.

[0105] In some embodiments, the performance of the service space filter and / or the candidate space filter is measured. In some embodiments, the performance of the service space filter and / or the candidate space filter is predicted.

[0106] This application does not limit the metrics used to measure cell-level link performance and / or spatial filter performance. Exemplarily, metrics for measuring cell-level link performance and / or spatial filter performance may include one or more of the following: RSRP, RSRQ, received signal strength indicator (RSSI), signal-to-interference plus noise ratio (SINR), and signal-to-noise ratio (SNR). Taking the aforementioned mobility event as an LTM event as an example, metrics for measuring cell-level link performance and / or spatial filter performance may include one or more of the following: Layer 1 RSRP, Layer 1 RSRQ, Layer 1 RSSI, Layer 1 SINR, and SNR.

[0107] In some embodiments, the information of a mobility event may include one or more of the following: the type of the mobility event, the time-domain resource information of the mobility event, the frequency-domain resource information of the mobility event, the information of the cell associated with the mobility event, the information of the spatial filter associated with the mobility event, and the RRM prediction result corresponding to the mobility event.

[0108] The type of mobility event can be used to indicate which mobility event occurred, such as the serving cell's link performance being better than the first threshold, the serving cell's link performance being weaker than the fourth threshold and the candidate cell's link performance being better than the fifth threshold, or the candidate spatial filter performance of the candidate cell being better than the sum of the serving spatial filter performance and the second offset of the current serving cell, etc.

[0109] The temporal resource information of a mobility event can be used to indicate on which temporal resource the mobility event occurred, i.e., the time when the mobility event occurred.

[0110] Frequency domain resource information of a mobility event can be used to indicate on which frequency domain resource the mobility event occurred. For example, frequency domain resource information of a mobility event can be used to indicate on which carrier or frequency band the mobility event occurred.

[0111] Information about the cell associated with the mobility event may include, for example, the identifier of the cell where the mobility event occurred.

[0112] Information about the spatial filter associated with the mobility event may include, for example, the identifier of the spatial filter that caused the mobility event.

[0113] The RRM prediction results corresponding to the mobility events that occur may include, for example, cell-level RRM prediction results and / or spatial filter-level RRM prediction results.

[0114] In some embodiments, the information of the cell associated with the mobility event and / or the information of the spatial filter associated with the mobility event may be indicated by the RRM prediction results corresponding to the mobility event. That is, the RRM prediction results corresponding to the mobility event may include one or more of the following: the identifier of the cell associated with the mobility event, the identifier of the spatial filter associated with the mobility event, the cell-level RRM prediction results and / or the spatial filter-level RRM prediction results corresponding to the mobility event.

[0115] For information on cell identification, spatial filter identification, and RRM prediction results, please refer to the previous text. For the sake of brevity, it will not be repeated here.

[0116] In some embodiments, the relevant information about the mobility events described above is obtained through model prediction. Alternatively, the relevant information about the mobility events described above is the output information of the model. The input and output of the model are described below with reference to Figure 8.

[0117] The model in Figure 8 can predict relevant information about mobility events corresponding to second frequency domain resources based on RRM measurement results of the first frequency domain resource. As shown in Figure 8, the model input can include one or more RRM measurement results obtained on the first frequency domain resource. The model output can include: whether one or more mobility events have occurred, and information about the occurred mobility events.

[0118] It should be understood that RRM measurements performed on resources in the first frequency domain and / or RRM predictions performed on resources in the second frequency domain both require certain resources. The resources required for performing RRM measurements and / or RRM predictions are described below.

[0119] Figure 9 illustrates the resource sets required for RRM measurement and RRM prediction. As shown in Figure 9, RRM measurement and RRM prediction are performed on different resource sets. For example, a first resource set is used for RRM measurement (therefore, the first resource set can also be called the RRM measurement resource set), and a second resource set is used for RRM prediction (therefore, the second resource set can also be called the RRM prediction resource set), and the first and second resource sets correspond to different frequency domain resources. As an example, the first resource set corresponds to carrier 1 or frequency band 1, and the second resource set corresponds to carrier 2 or frequency band 2.

[0120] In the example of Figure 9, a sphere in the first resource set and / or the second resource set represents a resource (such as a reference signal resource), and the multiple resources together form a resource set (the first resource set or the second resource set).

[0121] In some embodiments, the time-domain resources corresponding to the first resource set and the second resource set may be the same. For example, the first resource set is used for RRM measurements corresponding to the first frequency domain resources at time A, and the second resource set is used for RRM prediction and / or prediction of mobility events corresponding to the second frequency domain resources at time A.

[0122] In some embodiments, the time-domain resources corresponding to the first resource set and the second resource set may be different. For example, the first resource set is used for RRM measurements corresponding to the first frequency-domain resources at time A, and the second resource set is used for RRM prediction and / or prediction of mobility events corresponding to the second frequency-domain resources at time B. In some embodiments, time B is later than time A.

[0123] In some embodiments, the identifier of a resource in the first resource set may include the identifier of the frequency domain resource in which the first resource set is located. For example, the identifier of a resource in the first resource set may include: the identifier of the first resource set, the identifier of the frequency domain resource in which the first resource set is located, and the identifier of the time domain resource in which the resource in the first resource set is located.

[0124] For example, the identifier of a resource in the first resource set can be represented as Set B. n,k,c (1≤n≤N, 1≤k≤K, 1≤c≤C).

[0125] 'n' represents the identifier of the first resource set, and there are a total of N first resource sets. In some embodiments, N > 1, in which case one first resource set can correspond to one cell, meaning that different cells can correspond to different first resource sets. In some embodiments, N = 1, meaning that one first resource set can contain all downlink reference signal measurement resources.

[0126] k represents the identifier of the time-domain resource in the first resource set. A total of K time-domain resources need to be measured as the RRM measurement results as the input of the model.

[0127] c represents the identifier of the frequency domain resource where the first resource set is located, which includes a total of C frequency domain resources.

[0128] In some embodiments, the identifier of a resource in the second resource set may include the identifier of the frequency domain resource in which the second resource set is located. For example, the identifier of a resource in the second resource set may include: the identifier of the second resource set, the identifier of the frequency domain resource in which the second resource set is located, and the identifier of the time domain resource in which the resource in the second resource set is located.

[0129] For example, the identifier of a resource in the second resource set can be represented as Set A m,f,p (1≤m≤M, 1≤f≤F, 1≤p≤P).

[0130] m represents the identifier of the second resource set, and there are a total of M second resource sets. In some embodiments, M > 1, in which case one second resource set can correspond to one cell, that is, different cells can correspond to different second resource sets. In some embodiments, M = 1, that is, one second resource set can contain the reference signal resources to be predicted for all cells.

[0131] f represents the identifier of the time-domain resource in the second resource set, meaning the model can predict the RRM prediction results of the future F time-domain resources based on historical measurements.

[0132] p represents the identifier of the frequency domain resource where the second resource set is located, which includes a total of P frequency domain resources.

[0133] In some embodiments, the identifier of the frequency domain resource where the first resource set is located is different from the identifier of the frequency domain resource where the second frequency domain resource set is located, for example, Set B. n,k,c With Set A m,f,p The 'c' and 'p' in the text are different. However, the embodiments of this application are not limited to this. For example, the identifier of the frequency domain resource where the first resource set is located can be the same as the identifier of the frequency domain resource where the second frequency domain resource set is located, that is, prediction and measurement can be performed on the same frequency domain resource.

[0134] In some embodiments, the first resource set and / or the second resource set described above are configured by the network device. For example, the network device can configure the first resource set and / or the second resource set via higher-layer signaling (such as RRC signaling).

[0135] In some embodiments, the first resource set described above is used by the terminal device to perform RRM measurements of one or more cells (including the terminal device's current serving cell and / or neighboring cells).

[0136] In some embodiments, the second resource set described above is used by a terminal device or network device to perform RRM prediction and / or mobility event prediction for one or more cells (including the terminal device’s current serving cell and / or neighboring cells).

[0137] The preceding text describes how to use the RRM measurement results corresponding to the first frequency domain resource to predict the RRM information and / or mobility event related information corresponding to the second frequency domain resource. The following text describes the process of the method according to the embodiments of this application.

[0138] Figure 10 is a schematic flowchart of a method for wireless communication provided in an embodiment of this application. The method shown in Figure 10 can be executed by a first device.

[0139] In the embodiments of this application, the first device is a device capable of performing RRM prediction and / or mobility event prediction, or in other words, the first device is a device with a deployed model that can be used for RRM prediction and / or mobility event prediction. The embodiments of this application do not limit the first device. In some embodiments, the first device may be a terminal device, such as the terminal device 120 shown in FIG1; in some embodiments, the first device may be a network device, such as the network device 110 shown in FIG1.

[0140] The method shown in Figure 10 may include step S1010, in which the first device acquires the RRM measurement result corresponding to the first frequency domain resource.

[0141] In the embodiments of this application, the RRM measurement results corresponding to the first frequency domain resource can be used to predict the RRM information corresponding to the second frequency domain resource, and / or, the RRM measurement results corresponding to the first frequency domain resource can be used to predict the relevant information of mobility events corresponding to the second frequency domain resource. For an explanation of how to use the RRM measurement results corresponding to the first frequency domain resource to predict the RRM information and / or the relevant information of mobility events corresponding to the second frequency domain resource, please refer to the above.

[0142] In some embodiments, when the first device is a terminal device, the first device obtaining the RRM measurement result corresponding to the first frequency domain resource may mean that the first device performs RRM measurement to obtain the RRM measurement result corresponding to the first frequency domain resource.

[0143] In some embodiments, when the first device is a network device, the first device obtaining the RRM measurement result corresponding to the first frequency domain resource may mean that the first device receives the RRM measurement result corresponding to the first frequency domain resource sent by the terminal device.

[0144] For ease of understanding, the process of the method embodiments of this application will be described in more detail below, with the first device being used as both the terminal device and the network device.

[0145] Example 1:

[0146] In Example 1, the first device is a terminal device, and the RRM measurement results corresponding to the first frequency domain resource are used to predict the RRM information and / or related information of mobility events corresponding to the second frequency domain resource.

[0147] Figure 11 is a flowchart illustrating a method for wireless communication according to another embodiment of this application. The method shown in Figure 11 may include steps S1110 to S1130, which will be described below.

[0148] In step S1110, the first device receives a first configuration sent by the network device. The first configuration is used to configure a first resource set and a second resource set. For details regarding the first and second resource sets, please refer to the above text.

[0149] In step S1120, the first device acquires the RRM measurement result corresponding to the first frequency domain resource. For example, the first device may perform an RRM measurement to acquire the RRM measurement result corresponding to the first frequency domain resource.

[0150] In Example 1, the RRM measurement results corresponding to the first frequency domain resource can be used to predict the RRM information corresponding to the second frequency domain resource, and / or, the RRM measurement results corresponding to the first frequency domain resource can be used to predict the relevant information of mobility events corresponding to the second frequency domain resource. For an explanation of how to use the RRM measurement results corresponding to the first frequency domain resource to predict the RRM information and / or the relevant information of mobility events corresponding to the second frequency domain resource, please refer to the above.

[0151] In step S1130, the first device sends the RRM information corresponding to the second frequency domain resource and / or the relevant information of the mobility event corresponding to the second frequency domain resource to the network device.

[0152] In other words, in step S1130, the first device can send (or report) the predicted information to the network device. For example, using the RRM measurement results corresponding to the first frequency domain resource to predict the RRM information corresponding to the second frequency domain resource, after the first device predicts the RRM information corresponding to the second frequency domain resource, it can send the predicted RRM information to the network device. Similarly, using the RRM measurement results corresponding to the first frequency domain resource to predict the relevant information of mobility events corresponding to the second frequency domain resource, after the first device predicts the relevant information of mobility events corresponding to the second frequency domain resource, it can send the predicted relevant information of mobility events corresponding to the second frequency domain resource to the network device.

[0153] In some embodiments, step S1130 is triggered by the first device, that is, the transmission of RRM information corresponding to the second frequency domain resource and / or information related to mobility events corresponding to the second frequency domain resource is triggered by the first device. In other words, the first device can decide for itself whether to report the predicted RRM information and / or information related to mobility events.

[0154] In some embodiments, step S1130 is triggered based on an instruction from the network device, that is, the transmission of RRM information corresponding to the second frequency domain resource and / or information related to mobility events corresponding to the second frequency domain resource is indicated by the network device.

[0155] In some embodiments, step S1130 is triggered based on rules predefined by the protocol, that is, the transmission of RRM information corresponding to the second frequency domain resource and / or information related to mobility events corresponding to the second frequency domain resource is predefined by the protocol.

[0156] In some embodiments, when the first device sends the predicted RRM information corresponding to the second frequency domain resource to the network device, in the frequency domain, the first device may send the RRM information of the top L cells with the best link quality corresponding to one or more frequency domain resources.

[0157] In some embodiments, when the first device sends the predicted RRM information corresponding to the second frequency domain resource to the network device, in the time domain, the first device may send the RRM information of the top L cells with the best link quality corresponding to one or more time domain resources (i.e., multiple future times).

[0158] In some embodiments, for each reporting cell, the first device may send the link quality of the top Q spatial filters with the best predicted link quality.

[0159] For ease of understanding, the following example, in conjunction with Table 1, shows an example of the first device sending the predicted RRM information corresponding to the second frequency domain resource to the network device.

[0160] Table 1

[0161] In the example in Table 1, for carrier or frequency band 1, the first device can report RRM information for F time instances; for carrier or frequency band C, the first device can report RRM information for F time instances.

[0162] In some embodiments, when the first device sends information related to the predicted mobility events corresponding to the second frequency domain resources to the network device, it may send one or more of the following: whether one or more mobility events have occurred, and information about the mobility events that have occurred.

[0163] In some embodiments, the first device needs to know which mobility events need to be predicted. This application does not limit the method by which the first device learns about mobility events. For example, the network device can configure the first device to predict one or more mobility events and corresponding parameters (such as threshold values, offsets, etc.). Alternatively, the protocol can predefine one or more mobility events that the first device needs to predict.

[0164] In some embodiments, the network device may configure some uplink resources for the first device so that the first device can report information related to predicted mobility events. This application embodiment does not limit the uplink resources; for example, the uplink resources may be a physical uplink shared channel (PUSCH) or a physical uplink control channel (PUCCH).

[0165] In some embodiments, the network device may configure a PUCCH resource for the first device to request uplink resources so that the first device can request uplink resources to report information related to predicted mobility events. For example, the network device may configure a PUCCH resource for the first device to carry scheduling requests (SRs).

[0166] In some embodiments, the first device may send information related to the predicted mobility events corresponding to the second frequency domain resources to the network device via control signaling at the physical layer or higher.

[0167] As an example, in the case of an LTM (Low-Temperature Time) mobility event, the first device can send information related to the predicted mobility event corresponding to the second frequency domain resource to the network device via physical layer control signaling. For example, the first device can send the information related to the predicted mobility event corresponding to the second frequency domain resource to the network device via uplink control information (UCI) or PUCCH.

[0168] As another example, when the mobility event is an LTM event, the first device can send information related to the predicted mobility event corresponding to the second frequency domain resource to the network device via MAC layer control signaling. For example, the first device can send information related to the predicted mobility event corresponding to the second frequency domain resource to the network device via MAC CE.

[0169] For example, if the mobility event is a Layer 3 event, the first device can send information related to the predicted mobility event corresponding to the second frequency domain resource to the network device via RRC layer control signaling. For instance, the first device can send information related to the predicted mobility event corresponding to the second frequency domain resource to the network device via RRC signaling.

[0170] In some embodiments, when a first device reports information related to one or more mobility events to a network device in a single report, the reporting content corresponding to each reported mobility event can be different. For example, the first device may report in a single report: predicting that mobility event A will occur on time domain resource f=1 and frequency domain resource p=1; predicting that mobility event B will occur on time domain resource f=2 and frequency domain resource p=2; and predicting that no mobility event will occur on time domain resource f=3 and frequency domain resource p=3.

[0171] In some embodiments, if no mobility event occurs at a certain time domain resource (or, at a certain moment), the first device may not report the relevant information of the mobility event corresponding to that time domain resource.

[0172] For ease of understanding, an example is given below, in conjunction with Table 2, of the first device sending information related to the predicted mobility events corresponding to the second frequency domain resources to the network device.

[0173] Table 2

[0174] In the example in Table 2, the first device can report information related to mobility events on different frequency domain resources at F time points, including the index of the frequency domain resources, the type of mobility event, the index of candidate reference signals (containing information about the cell where the mobility event occurred), and the performance of the candidate reference signals. In some embodiments, for each time point f, the first device can report information related to mobility events on one or more frequency domain resources.

[0175] Table 2 illustrates the UCI reporting format. However, this application is not limited to this. As a possible implementation, if MAC CE is used to report the relevant information of the predicted mobility events, the MAC CE reporting format of 8 bits per byte can be used, and the reported content is the same as that reported using the UCI format.

[0176] Referring again to Figure 11, in some embodiments, the method of Figure 11 may further include step S1140. In step S1140, the first device receives a handover command sent by the network device. This handover command is determined based on the RRM information corresponding to the second frequency domain resource and / or relevant information about the mobility event corresponding to the second frequency domain resource.

[0177] In some embodiments, the switching command described above can be carried out via MAC CE.

[0178] In some embodiments, the handover command described above can be used to instruct the first device to hand over to the target cell and / or the target spatial filter on a third frequency domain resource. In some embodiments, the third frequency domain resource is different from the frequency domain resource on which the handover command is sent; that is, the network device can send a handover command on one frequency domain resource, instructing the first device to hand over to the target cell and / or the target spatial filter on another frequency domain resource.

[0179] This application does not limit the indication method of the third frequency domain resource. For example, the third frequency domain resource can be indicated in an explicit or implicit manner. Exemplarily, the third frequency domain resource can be indicated by one or more of the following: the identifier of the spatial filter, the TCI status.

[0180] As an example, third-frequency domain resources can be indicated by the identifier of spatial filters, which can be understood as an explicit indication method.

[0181] As another example, third-frequency domain resources can be indicated via TCI status, which can be understood as an implicit indication method. In this case, the network device can indicate the TCI status of the target cell and / or target spatial filter to the first device, which is configured on the third-frequency domain resources.

[0182] In some embodiments, the handover command may include one or more of the following: the identifier of the target cell, the identifier of the TCI status, and third frequency domain resources.

[0183] For example, the handover command mentioned above may include the identifier of the target cell and third frequency domain resources to instruct the first device to hand over to the target cell on the third frequency domain resources.

[0184] For example, the handover command may include the identifier of the target cell and the identifier of the TCI status to instruct the first device to hand over to the target cell and the target spatial filter, which may be configured on a third frequency domain resource, for example.

[0185] For example, the handover command may include the identifier of the target cell, the identifier of the TCI status, and the third frequency domain resources to instruct the first device to hand over to the target cell and the target spatial filter on the third frequency domain resources.

[0186] Example 2:

[0187] In Embodiment 2, the first device is a network device, and the RRM measurement results corresponding to the first frequency domain resource are used to predict the RRM information and / or related information of mobility events corresponding to the second frequency domain resource.

[0188] Figure 12 is a flowchart illustrating a method for wireless communication according to another embodiment of this application. The method shown in Figure 12 may include steps S1210 and S1220, which will be described below.

[0189] In step S1210, the first device sends a first configuration to the terminal device. The first configuration is used to configure a first resource set. For details regarding the first resource set, please refer to the above text.

[0190] In step S1220, the first device acquires the RRM measurement result corresponding to the first frequency domain resource. For example, the first device may receive the RRM measurement result corresponding to the first frequency domain resource sent by the terminal device.

[0191] In some embodiments, when a terminal device sends the RRM measurement result corresponding to the first frequency domain resource to a first device, it may send it based on one or more of the following dimensions: spatial domain, time domain, and frequency domain.

[0192] As an example, when a terminal device sends the RRM measurement results corresponding to the first frequency domain resource to the first device, in a single reporting instance, the RRM measurement results of the above three dimensions can be reported to the first device all at once.

[0193] As another example, when the terminal device sends the RRM measurement results corresponding to the first frequency domain resource to the first device, in a reporting instance, the above three dimensions can be combined in pairs to form a reporting instance and reported to the first device.

[0194] As another example, when a terminal device sends the RRM measurement results corresponding to the first frequency domain resource to the first device, in a reporting instance, the RRM measurement results can be reported to the first device using only one dimension.

[0195] In Embodiment 2, the first device can predict the RRM information corresponding to the second frequency domain resource based on the RRM measurement results corresponding to the first frequency domain resource reported by the terminal device, and / or predict the relevant information of the mobility event corresponding to the second frequency domain resource. For an explanation of how to use the RRM measurement results corresponding to the first frequency domain resource to predict the RRM information and / or the relevant information of the mobility event corresponding to the second frequency domain resource, please refer to the above.

[0196] In some embodiments, the method of FIG12 may further include step S1230. In step S1230, the first device sends a handover command to the terminal device. The handover command is determined based on the RRM information corresponding to the second frequency domain resource and / or the relevant information of the mobility event corresponding to the second frequency domain resource.

[0197] In some embodiments, the switching command described above can be carried out via MAC CE.

[0198] In some embodiments, the handover command described above can be used to instruct the first device to hand over to the target cell and / or the target spatial filter on a third frequency domain resource. In some embodiments, the third frequency domain resource is different from the frequency domain resource on which the handover command is sent; that is, the network device can send a handover command on one frequency domain resource, instructing the first device to hand over to the target cell and / or the target spatial filter on another frequency domain resource.

[0199] This application does not limit the indication method of the third frequency domain resource. For example, the third frequency domain resource can be indicated in an explicit or implicit manner. Exemplarily, the third frequency domain resource can be indicated by one or more of the following: the identifier of the spatial filter, the TCI status.

[0200] As an example, third-frequency domain resources can be indicated by the identifier of spatial filters, which can be understood as an explicit indication method.

[0201] As another example, third-frequency domain resources can be indicated via TCI status, which can be understood as an implicit indication method. In this case, the network device can indicate the TCI status of the target cell and / or target spatial filter to the first device, which is configured on the third-frequency domain resources.

[0202] In some embodiments, the handover command may include one or more of the following: the identifier of the target cell, the identifier of the TCI status, and third frequency domain resources.

[0203] For example, the handover command mentioned above may include the identifier of the target cell and third frequency domain resources to instruct the first device to hand over to the target cell on the third frequency domain resources.

[0204] For example, the handover command may include the identifier of the target cell and the identifier of the TCI status to instruct the first device to hand over to the target cell and the target spatial filter, which may be configured on a third frequency domain resource, for example.

[0205] For example, the handover command may include the identifier of the target cell, the identifier of the TCI status, and the third frequency domain resources to instruct the first device to hand over to the target cell and the target spatial filter on the third frequency domain resources.

[0206] The method embodiments of this application have been described in detail above with reference to Figures 1 to 12. The apparatus embodiments of this application will be described in detail below with reference to Figures 13 and 14. 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 preceding method embodiments.

[0207] Figure 13 is a schematic diagram of the structure of a communication device provided in an embodiment of this application. The communication device 1300 shown in Figure 13 can be any of the first devices described above. The communication device 1300 includes an acquisition module 1310. The acquisition module 1310 can be used to acquire the RRM measurement results corresponding to a first frequency domain resource; wherein, the RRM measurement results corresponding to the first frequency domain resource are used to predict the RRM information corresponding to a second frequency domain resource, and / or, the RRM measurement results corresponding to the first frequency domain resource are used to predict the relevant information of mobility events corresponding to the second frequency domain resource.

[0208] In some embodiments, the RRM information includes one or more of the following: RRM prediction results for one or more cells; frequency domain resource information corresponding to the RRM prediction results for the one or more cells; and time domain resource information corresponding to the RRM prediction results for the one or more cells.

[0209] In some embodiments, the RRM prediction results of the one or more cells include one or more of the following: cell identifier; spatial filter identifier; cell-level RRM prediction results; spatial filter-level RRM prediction results.

[0210] In some embodiments, the information related to the mobility event is used to indicate one or more of the following: whether one or more mobility events have occurred, and information about the mobility events that have occurred.

[0211] In some embodiments, the information of the mobility event includes one or more of the following: the type of the mobility event; the time-domain resource information of the mobility event; the frequency-domain resource information of the mobility event; the information of the cell associated with the mobility event; the information of the spatial filter associated with the mobility event; and the RRM prediction result corresponding to the mobility event.

[0212] In some embodiments, the communication device further includes: a first receiving module 1320, configured to receive a first configuration sent by a network device, the first configuration being configured to configure a first resource set and a second resource set, the first resource set being used for RRM measurement, and the second resource set being used for RRM prediction.

[0213] In some embodiments, the identifier of a resource in the first resource set includes the identifier of a frequency domain resource in which the first resource set is located; and / or the identifier of a resource in the second resource set includes the identifier of a frequency domain resource in which the second resource set is located.

[0214] In some embodiments, the identifier of the resources in the first resource set includes: the identifier of the first resource set, the identifier of the frequency domain resource in which the first resource set is located, and the identifier of the time domain resource in which the resources in the first resource set are located; and / or the identifier of the resources in the second resource set includes: the identifier of the second resource set, the identifier of the frequency domain resource in which the second resource set is located, and the identifier of the time domain resource in which the resources in the second resource set are located.

[0215] In some embodiments, the identifier of the frequency domain resource where the first resource set is located is different from the identifier of the frequency domain resource where the second resource set is located.

[0216] In some embodiments, the communication device further includes: a first transmitting module, configured to transmit to the network device RRM information corresponding to the second frequency domain resource and / or information related to the mobility event corresponding to the second frequency domain resource.

[0217] In some embodiments, the transmission of RRM information corresponding to the second frequency domain resource and / or information related to mobility events corresponding to the second frequency domain resource is triggered based on one or more of the following: the first device, an indication from the network device, or a rule predefined by the protocol.

[0218] In some embodiments, the communication device further includes: a second receiving module, configured to receive a handover command sent by a network device, the handover command being determined based on RRM information corresponding to the second frequency domain resource and / or relevant information of mobility events corresponding to the second frequency domain resource.

[0219] In some embodiments, the handover command is used to instruct the first device to hand over to the target cell and / or target spatial filter on a third frequency domain resource, the third frequency domain resource being different from the frequency domain resource from which the handover command was sent.

[0220] In some embodiments, the third frequency domain resource is indicated by one or more of the following: the identifier of the spatial filter, the TCI status.

[0221] In some embodiments, the first device is a terminal device.

[0222] In some embodiments, the communication device further includes: a second transmitting module, configured to transmit a first configuration to a terminal device, the first configuration being configured to configure a first resource set, the first resource set being used for RRM measurement, and the identifier of the resources in the first resource set including the identifier of the frequency domain resources in which the first resource set is located.

[0223] In some embodiments, the identifier of the resources in the first resource set includes: the identifier of the first resource set, the identifier of the frequency domain resource in which the first resource set is located, and the identifier of the time domain resource in which the resources in the first resource set are located.

[0224] In some embodiments, the identifier of the frequency domain resource where the first resource set is located is different from the identifier of the frequency domain resource where the second resource set used for RRM prediction is located.

[0225] In some embodiments, the acquisition module is configured to: receive RRM measurement results corresponding to the first frequency domain resource sent by the terminal device.

[0226] In some embodiments, the RRM measurement results are transmitted based on one or more of the following dimensions: spatial domain, time domain, and frequency domain.

[0227] In some embodiments, the communication device further includes: a third transmitting module, configured to send a handover command to a terminal device, the handover command being determined based on RRM information corresponding to the second frequency domain resource and / or relevant information of mobility events corresponding to the second frequency domain resource.

[0228] In some embodiments, the handover command is used to instruct the terminal device to hand over to the target cell and / or target spatial filter on a third frequency domain resource, wherein the third frequency domain resource is different from the frequency domain resource from which the handover command was sent.

[0229] In some embodiments, the third frequency domain resource is indicated by one or more of the following: the identifier of the spatial filter, the TCI status.

[0230] In some embodiments, the first device is a network device.

[0231] In some embodiments, the mobility event is configured by the network device or is predefined by the protocol.

[0232] In some embodiments, the RRM information is used for Layer 1 / Layer 2 triggered mobility LTM handover, and / or the mobility event includes an LTM event.

[0233] In some embodiments, the first frequency domain resource and / or the second frequency domain resource are determined according to one or more of the following granularities: carrier, frequency band, and combination of frequency bands.

[0234] In some embodiments, the acquisition module 1310 may be a processor 1410 or a transceiver 1430. The communication device 1300 may also include a memory 1420, as shown in FIG14.

[0235] Figure 14 is a schematic structural diagram of a communication device according to an embodiment of this application. The dashed lines in Figure 14 indicate that the unit or module is optional. This device 1400 can be used to implement the methods described in the above method embodiments. Device 1400 can be a chip, a terminal device, or a network device.

[0236] Apparatus 1400 may include one or more processors 1410. The processor 1410 may support apparatus 1400 in implementing the methods described in the preceding method embodiments. The processor 1410 may be a general-purpose processor or a special-purpose processor. For example, the processor may be a central processing unit (CPU). Alternatively, the processor may 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. The general-purpose processor may be a microprocessor or any conventional processor.

[0237] The apparatus 1400 may further include one or more memories 1420. The memories 1420 store a program that can be executed by the processor 1410, causing the processor 1410 to perform the methods described in the preceding method embodiments. The memories 1420 may be independent of the processor 1410 or integrated within the processor 1410.

[0238] The device 1400 may also include a transceiver 1430. The processor 1410 can communicate with other devices or chips via the transceiver 1430. For example, the processor 1410 can send and receive data with other devices or chips via the transceiver 1430.

[0239] 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 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.

[0240] 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 the embodiments of this application, 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.

[0241] 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 various embodiments of this application.

[0242] It should be understood that the terms "system" and "network" in this application can be used interchangeably. Furthermore, the terminology used in this application is only for explaining specific embodiments of the application and is not intended to limit the 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.

[0243] 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.

[0244] 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.

[0245] 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.

[0246] In the embodiments of this application, the term "comprising" can refer to direct inclusion or indirect inclusion. Optionally, "comprising" in the embodiments of this application can be replaced with "instructing" or "used to determine". For example, "A includes B" can be replaced with "A instructs B" or "A is used to determine B".

[0247] 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.

[0248] 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.

[0249] 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.

[0250] 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.

[0251] 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.

[0252] 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.

[0253] 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.

[0254] 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), etc.

[0255] 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 technical scope 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, comprising: Comprising: The first device obtains a radio resource management (RRM) measurement result corresponding to a first frequency domain resource; The RRM measurement result corresponding to the first frequency domain resource is used to predict a RRM information corresponding to a second frequency domain resource, and / or the RRM measurement result corresponding to the first frequency domain resource is used to predict related information of a mobility event corresponding to the second frequency domain resource.

2. The method of claim 1, wherein, The RRM information comprises one or more of the following information: An RRM prediction result of one or more cells; Frequency domain resource information corresponding to the RRM prediction result of the one or more cells; Time domain resource information corresponding to the RRM prediction result of the one or more cells.

3. The method of claim 2, wherein, The RRM prediction result of the one or more cells comprises one or more of the following: An identity of a cell; An identity of a spatial filter; An RRM prediction result at a cell level; An RRM prediction result at a spatial filter level.

4. The method according to any one of claims 1 to 3, characterized in that, The related information of the mobility event is used to indicate one or more of the following: whether one or more mobility events occur, and information of the occurred mobility event.

5. The method of claim 4, wherein, The information of the occurred mobility event comprises one or more of the following: A type of the occurred mobility event; Time domain resource information of the occurred mobility event; Frequency domain resource information of the occurred mobility event; Information of a cell associated with the occurred mobility event; Information of a spatial filter associated with the occurred mobility event; An RRM prediction result corresponding to the occurred mobility event.

6. The method according to any one of claims 1-5, characterized in that, The method further comprises: The first device receives a first configuration sent by a network device, the first configuration being used to configure a first resource set and a second resource set, the first resource set being used for RRM measurement, and the second resource set being used for RRM prediction.

7. The method of claim 6, wherein: An identity of a resource in the first resource set comprises an identity of a frequency domain resource where the first resource set is located; and / or An identity of a resource in the second resource set comprises an identity of a frequency domain resource where the second resource set is located.

8. The method of claim 6 or 7, wherein: An identity of a resource in the first resource set comprises: an identity of the first resource set, an identity of a frequency domain resource where the first resource set is located, and an identity of a time domain resource where the resource in the first resource set is located; and / or An identity of a resource in the second resource set comprises: an identity of the second resource set, an identity of a frequency domain resource where the second resource set is located, and an identity of a time domain resource where the resource in the second resource set is located.

9. The method according to any one of claims 6-8, characterized in that, The identity of the frequency domain resource where the first resource set is located is different from the identity of the frequency domain resource where the second resource set is located.

10. The method according to any one of claims 1-9, characterized in that, The method further comprises: The first device sends, to the network device, the RRM information corresponding to the second frequency domain resource and / or the related information of the mobility event corresponding to the second frequency domain resource.

11. The method of claim 10, wherein, The sending of the RRM information corresponding to the second frequency domain resource and / or the related information of the mobility event corresponding to the second frequency domain resource is based on one or more of the following triggers: an indication of the first device, an indication of the network device, and a protocol predefined rule.

12. The method according to any one of claims 1-11, characterized in that, The method further comprises: The first device receives a switching command sent by a network device, the switching command being determined based on RRM information corresponding to the second frequency domain resource and / or related information of a mobility event corresponding to the second frequency domain resource.

13. The method of claim 12, wherein, The switching command is used to instruct the first device to switch to a target cell and / or a target spatial filter on a third frequency domain resource, the third frequency domain resource being different from a frequency domain resource on which the switching command is sent.

14. The method of claim 13, wherein, The third frequency domain resource is indicated by one or more of the following: an identifier of a spatial filter, a transmission configuration indication (TCI) state.

15. The method according to any one of claims 6-14, characterized in that, The first device is a terminal device.

16. The method of any one of claims 1-5, wherein, The method further includes: The first device sends a first configuration to a terminal device, the first configuration being used to configure a first resource set, the first resource set being used for RRM measurement, and an identifier of a resource in the first resource set including an identifier of a frequency domain resource on which the first resource set is located.

17. The method of claim 16, wherein, The identifier of the resource in the first resource set includes: an identifier of the first resource set, an identifier of a frequency domain resource on which the first resource set is located, and an identifier of a time domain resource on which the resource in the first resource set is located.

18. The method according to claim 16 or 17, characterized in that, The identifier of the frequency domain resource on which the first resource set is located is different from an identifier of a frequency domain resource on which a second resource set used for RRM prediction is located.

19. The method of any one of claims 1-5, 16-18, wherein, The first device obtains an RRM measurement result corresponding to a first frequency domain resource, including: The first device receives an RRM measurement result corresponding to a first frequency domain resource sent by a terminal device.

20. The method of claim 19, wherein, The RRM measurement result is sent based on one or more of the following dimensions: space domain, time domain, and frequency domain.

21. The method of any one of claims 1-5, 16-20, wherein, The method further includes: The first device sends a switching command to a terminal device, the switching command being determined based on RRM information corresponding to the second frequency domain resource and / or related information of a mobility event corresponding to the second frequency domain resource.

22. The method of claim 21, wherein, The switching command is used to instruct the terminal device to switch to a target cell and / or a target spatial filter on a third frequency domain resource, the third frequency domain resource being different from a frequency domain resource on which the switching command is sent.

23. The method of claim 22, wherein, The third frequency domain resource is indicated by one or more of the following: an identifier of a spatial filter, a TCI state.

24. The method of any one of claims 16-23, wherein, The first device is a network device.

25. The method of any one of claims 1-24, wherein, The mobility event is configured by a network device or is pre-defined by a protocol.

26. The method of any one of claims 1-25, wherein, The RRM information is used for layer 1 / layer 2 triggered mobility (LTM) switching, and / or the mobility event includes an LTM event.

27. The method of any one of claims 1-26, wherein, The first frequency domain resource and / or the second frequency domain resource are determined according to one or more of the following granularities: carrier, frequency band, and frequency band combination.

28. A communications device, characterized by The communication device is a first device, and the communication device includes: An obtaining module, configured to obtain an RRM measurement result corresponding to a first frequency domain resource. The RRM measurement result corresponding to the first frequency domain resource is used to predict RRM information corresponding to a second frequency domain resource, and / or the RRM measurement result corresponding to the first frequency domain resource is used to predict related information of a mobility event corresponding to the second frequency domain resource.

29. The communication device of claim 28, wherein, The RRM information includes one or more of the following information: RRM prediction results of one or more cells; The frequency domain resource information corresponding to the RRM prediction result of the one or more cells; The time domain resource information corresponding to the RRM prediction result of the one or more cells.

30. The communication device of claim 29, wherein, The RRM prediction result of the one or more cells comprises one or more of the following: An identity of a cell; An identity of a spatial filter; A cell-level RRM prediction result; A spatial filter-level RRM prediction result.

31. The communication device of any of claims 28-30, wherein, The related information of the mobility event is used to indicate one or more of the following: whether one or more mobility events occur, information of the occurred mobility event.

32. The communication device of claim 31, wherein, The information of the occurred mobility event comprises one or more of the following: A type of the occurred mobility event; Time domain resource information of the occurred mobility event; Frequency domain resource information of the occurred mobility event; Information of a cell associated with the occurred mobility event; Information of a spatial filter associated with the occurred mobility event; An RRM prediction result corresponding to the occurred mobility event.

33. The communication device of any of claims 28-32, wherein, The communication device further comprises: A first receiving module, configured to receive a first configuration sent by a network device, wherein the first configuration is used to configure a first resource set and a second resource set, the first resource set is used for RRM measurement, and the second resource set is used for RRM prediction.

34. The communication device of claim 33, wherein: An identity of a resource in the first resource set comprises an identity of a frequency domain resource where the first resource set is located; and / or An identity of a resource in the second resource set comprises an identity of a frequency domain resource where the second resource set is located.

35. The communication device of claim 33 or 34, wherein: An identity of a resource in the first resource set comprises: an identity of the first resource set, an identity of a frequency domain resource where the first resource set is located, and an identity of a time domain resource where the resource in the first resource set is located; and / or An identity of a resource in the second resource set comprises: an identity of the second resource set, an identity of a frequency domain resource where the second resource set is located, and an identity of a time domain resource where the resource in the second resource set is located.

36. The communication device of any of claims 33-35, wherein, The identity of the frequency domain resource where the first resource set is located is different from the identity of the frequency domain resource where the second resource set is located.

37. The communication device of any of claims 28-36, wherein, The communication device further comprises: A first sending module, configured to send, to the network device, RRM information corresponding to the second frequency domain resource and / or related information of a mobility event corresponding to the second frequency domain resource.

38. The communication device of claim 37, wherein, The sending of the RRM information corresponding to the second frequency domain resource and / or the related information of the mobility event corresponding to the second frequency domain resource is based on one or more of the following triggers: the first device, an indication of the network device, and a protocol pre-defined rule.

39. The communication device of any of claims 28-38, wherein, The communication device further comprises: A second receiving module, configured to receive a handover command sent by the network device, wherein the handover command is determined based on the RRM information corresponding to the second frequency domain resource and / or the related information of the mobility event corresponding to the second frequency domain resource.

40. The communication device of claim 39, wherein, The handover command is used to instruct the first device to hand over to a target cell and / or a target spatial filter on a third frequency domain resource, wherein the third frequency domain resource is different from a frequency domain resource where the handover command is sent.

41. The communication device of claim 40, wherein, The third frequency domain resource is indicated by one or more of the following: an identity of a spatial filter, a transmission configuration indication (TCI) state.

42. The communication device of any of claims 33-41, wherein, The first device is a terminal device.

43. The communication device of any of claims 28-32, wherein, The communication device further includes: The second sending module is configured to send a first configuration to the terminal device, where the first configuration is used to configure a first resource set, the first resource set is used for RRM measurement, and an identity of a resource in the first resource set includes an identity of a frequency domain resource where the first resource set is located.

44. The communication device of claim 43, wherein, The identity of the resource in the first resource set includes: an identity of the first resource set, an identity of a frequency domain resource where the first resource set is located, and an identity of a time domain resource where the resource in the first resource set is located.

45. The communication device of claim 43 or 44, wherein, The identity of the frequency domain resource where the first resource set is located is different from an identity of a frequency domain resource where a second resource set used for RRM prediction is located.

46. The communication device of any of claims 28-32, 43-45, wherein, The obtaining module is configured to: Receive an RRM measurement result corresponding to the first frequency domain resource sent by the terminal device.

47. The communication device of claim 46, wherein, The RRM measurement result is sent based on one or more of the following dimensions: a spatial domain, a time domain, and a frequency domain.

48. The communication device of any of claims 28-32, 43-47, wherein, The communication device further includes: The third sending module is configured to send a switching command to the terminal device, where the switching command is determined based on RRM information corresponding to the second frequency domain resource and / or related information of a mobility event corresponding to the second frequency domain resource.

49. The communication device of claim 48, wherein, The switching command is used to instruct the terminal device to switch to a target cell and / or a target spatial filter on a third frequency domain resource, where the third frequency domain resource is different from a frequency domain resource where the switching command is sent.

50. The communication device of claim 49, wherein, The third frequency domain resource is indicated by one or more of the following: an identity of a spatial filter, a TCI state.

51. The communication device of any of claims 43-50, wherein, The first device is a network device.

52. The communication device of any of claims 28-51, wherein, The mobility event is configured by a network device or is pre-defined by a protocol.

53. The communication device of any of claims 28-52, wherein, The RRM information is used for layer 1 / layer 2 triggered mobility (LTM) switching, and / or the mobility event includes an LTM event.

54. The communication device of any of claims 28-53, wherein, The first frequency domain resource and / or the second frequency domain resource is determined according to one or more of the following granularities: a carrier, a frequency band, and a frequency band combination.

55. A communications device, characterized by A memory and a processor are included, the memory is used to store a program, and the processor is used to invoke the program in the memory to enable the communication device to perform the method in any one of claims 1-27.

56. An apparatus comprising: A processor is included and is used to invoke a program from a memory to enable the apparatus to perform the method in any one of claims 1-27.

57. A chip, comprising: A processor is included and is used to invoke a program from a memory to enable a device installed with the chip to perform the method in any one of claims 1-27.

58. A computer-readable storage medium, characterized in that, A program is stored on the computer-readable medium, and the program enables a computer to perform the method in any one of claims 1-27.

59. A computer program product, characterised in that, A program is included, and the program enables a computer to perform the method in any one of claims 1-27.

60. A computer program characterised in that, The computer program enables a computer to perform the method in any one of claims 1-27.

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