Communication method and communication apparatus

Abstract

The present application provides a communication method and a communication apparatus. The method comprises: determining a first CSI and a second CSI; and sending a first CSI report, wherein the first CSI report comprises the first CSI and does not comprise the second CSI. The priority, i.e., a priority order, of a target CSI, e.g., a predicted CSI or a compressed CSI, is related to one or more of the following: a time domain resource unit used for acquiring a reference signal resource set of the target CSI, a predicted time unit corresponding to the target CSI, prediction probability information or prediction confidence information comprised in the target CSI, signal quality information comprised in the target CSI, and an acquisition method for the signal quality information comprised in the target CSI, wherein the acquisition method comprises measurement or prediction. The target CSI comprises the first CSI or the second CSI. According to the present application, a terminal can send a CSI having a higher priority.

Description

Communication method and communication apparatus

[0001] The present application claims priority to the Chinese patent application No. 202411393292.X, filed on September 30, 2024, and entitled "Communication method and communication apparatus", the content of which is incorporated herein by reference in its entirety. TECHNICAL FIELD

[0002] The present application relates to the field of communication, and more particularly, to a communication method and a communication apparatus. BACKGROUND

[0003] In a communication system, a network device needs to determine the resource of a downlink data channel of a terminal device, the modulation and coding scheme (MCS) and the related configuration information of the downlink channel such as precoding according to the downlink channel state information (CSI) parameters. The terminal device calculates the downlink CSI parameters by measuring the downlink reference signal, and feeds back to the network device through the CSI report. The CSI feedback mode includes codebook-based CSI feedback and artificial intelligence (AI) model-based CSI feedback, etc. In some scenarios, the size of the CSI report to be transmitted may exceed the range that the channel can bear. For example, in the case that multiple CSI reports need to be transmitted on the same resource, the size of the CSI report to be transmitted may exceed the range that the channel can bear.

[0004] Therefore, how to perform CSI feedback so that the network device obtains the CSI report becomes a problem to be solved. SUMMARY

[0005] The present application provides a communication method and a communication apparatus. The first device can send a first CSI report according to the priority of multiple CSIs, thereby facilitating the first device to send a CSI to the second device which is more conducive to subsequent data transmission between the first device and the second device, thereby improving the communication quality and / or communication efficiency.

[0006] In a first aspect, a communication method is provided. The method can be performed by a terminal device, or can also be performed by a component (such as a chip, circuit or module, etc.) of the terminal device.

[0007] The method comprises: determining first channel state information (CSI) and second CSI; and transmitting a first CSI report, the first CSI report comprising the first CSI and not comprising the second CSI; wherein the priority of the first CSI is higher than the priority of the second CSI.

[0008] The priority of the target CSI is related to first information, and the first information comprises one or more of: a time domain resource unit of a reference signal resource set used to obtain the target CSI, a prediction time unit corresponding to the target CSI, prediction probability information or prediction confidence information included in the target CSI, signal quality information included in the target CSI, or an acquisition manner of the signal quality information included in the target CSI; the acquisition manner comprises measuring the reference signal resource set used to obtain the target CSI to obtain the signal quality information included in the target CSI, or predicting the reference signal resource set used to obtain the target CSI to obtain the signal quality information included in the target CSI. The target CSI comprises the first CSI or the second CSI, and the reference signal resource set comprises one or more reference signal resources.

[0009] Based on the above technical solution, the first device can transmit the first CSI report according to the priority of the CSI, thereby facilitating the first device to transmit the CSI with higher priority to the second device, and the CSI with higher priority is more conducive to subsequent data transmission between the first device and the second device, thereby facilitating improvement of communication quality and / or communication efficiency. For example, if the priority of the CSI is related to prediction confidence information included in the CSI, the first device can transmit the CSI with higher prediction confidence to the second device, thereby facilitating the second device to determine more accurate communication parameters required for subsequent data transmission between the first device and the second device according to the CSI with higher prediction confidence.

[0010] For example, if the resources required for transmitting the first CSI and the second CSI are less than or equal to the resources used for transmitting the CSI report, the transmitted first CSI report comprises the first CSI and the second CSI; or, if the resources required for transmitting the first CSI and the second CSI are greater than the resources used for transmitting the CSI report, the transmitted first CSI report comprises the first CSI with higher priority.

[0011] For example, the target CSI comprises one or more of: identification information of a reference signal resource corresponding to the target CSI; signal quality information corresponding to the reference signal resource corresponding to the target CSI; prediction probability information or prediction confidence information corresponding to the reference signal resource corresponding to the target CSI; or monitoring index information corresponding to the reference signal resource corresponding to the target CSI.

[0012] For example, the first CSI corresponds to different spatial domain resources than the second CSI. The spatial domain resources can also be referred to as beams.

[0013] In some implementations of the first aspect, in combination with the first aspect, the first information includes signal quality information included in the target CSI, and a priority of the target CSI is higher when the signal quality information included in the target CSI indicates a higher signal quality.

[0014] For example, the priority of the first CSI is higher than the priority of the second CSI, including that the signal quality information included in the first CSI indicates a higher signal quality than the signal quality information included in the second CSI, or the signal quality information included in the first CSI indicates a signal quality within a first signal quality range, the signal quality information included in the second CSI indicates a signal quality within a second signal quality range, and a minimum value of the first signal quality range is greater than a maximum value of the second signal quality range.

[0015] Based on the above technical solution, the higher the signal quality indicated by the signal quality information included in the CSI, the higher the communication quality of the terminal device and the network device communicating through the spatial domain resource (or beam) corresponding to the CSI. Therefore, if the terminal device preferentially sends the CSI including the signal quality information indicating a higher signal quality to the network device, it is beneficial to improve the communication quality of subsequent communication between the terminal device and the network device.

[0016] In some implementations of the first aspect, in combination with the first aspect, the first information includes prediction probability information included in the target CSI, and a priority of the target CSI is higher when the prediction probability information included in the target CSI indicates a higher prediction probability.

[0017] For example, the priority of the first CSI is higher than the priority of the second CSI, including that the prediction probability information included in the first CSI indicates a higher prediction probability than the prediction probability information included in the second CSI, or the prediction probability information included in the first CSI indicates a prediction probability within a first probability range, the prediction probability information included in the second CSI indicates a prediction probability within a second probability range, and a minimum value of the first probability range is greater than a maximum value of the second probability range.

[0018] Based on the above technical solution, the higher the prediction probability indicated by the prediction probability information included in the CSI, the higher the importance of the CSI. Therefore, if the terminal device preferentially sends the CSI including the prediction probability information indicating a higher prediction probability to the network device, it is beneficial for the network device to determine more accurate communication parameters required for subsequent data transmission between the terminal device and the network device according to the CSI with higher importance.

[0019] With reference to the first aspect, in some implementations of the first aspect, the first information comprises prediction confidence information comprised in the target CSI, and the prediction confidence information comprised in the target CSI indicates a higher prediction confidence, and the target CSI has a higher priority.

[0020] For example, the priority of the first CSI is higher than the priority of the second CSI, including: the prediction confidence indicated by the prediction confidence information comprised in the first CSI is higher than the prediction confidence indicated by the prediction confidence information comprised in the second CSI; or, the prediction confidence indicated by the prediction confidence information comprised in the first CSI belongs to a first confidence range, the prediction confidence indicated by the prediction confidence information comprised in the second CSI belongs to a second confidence range, and the minimum value of the first confidence range is greater than the maximum value of the second confidence range.

[0021] Based on the above technical solution, the higher the prediction confidence indicated by the prediction confidence information comprised in the CSI, the higher the accuracy of the CSI, and therefore, if the terminal device preferentially sends the CSI comprising the prediction confidence information indicating a higher prediction confidence to the network device, it is beneficial for the network device to determine more accurate communication parameters required for subsequent data transmission between the terminal device and the network device according to the CSI with higher accuracy.

[0022] With reference to the first aspect, in some implementations of the first aspect, the first information comprises an acquisition manner of signal quality information comprised in the target CSI, and the acquisition manner of the signal quality information comprised in the target CSI is measurement on a reference signal resource set used to obtain the target CSI, and the target CSI has a higher priority.

[0023] For example, the priority of the first CSI is higher than the priority of the second CSI, including: the acquisition manner of the signal quality information comprised in the first CSI is measurement on a reference signal resource set used to obtain the first CSI to obtain the signal quality information comprised in the first CSI, and the acquisition manner of the signal quality information comprised in the second CSI is prediction on a reference signal resource set used to obtain the second CSI to obtain the signal quality information comprised in the second CSI.

[0024] Based on the above technical solution, the accuracy of the CSI obtained by measurement is higher than that of the CSI obtained by prediction, and therefore, if the terminal device preferentially sends the CSI obtained by measurement to the network device, it is beneficial for the network device to determine more accurate communication parameters required for subsequent data transmission between the terminal device and the network device according to the CSI with higher accuracy.

[0025] With reference to the first aspect, in some implementations of the first aspect, the first information comprises a prediction time unit corresponding to the target CSI, and the earlier the prediction time unit corresponding to the target CSI, the higher the priority of the target CSI.

[0026] For example, the priority of the first CSI is higher than the priority of the second CSI, including: the prediction time unit corresponding to the first CSI is earlier than the prediction time unit corresponding to the second CSI; or, the prediction time unit corresponding to the first CSI belongs to a first time unit range, the prediction time unit corresponding to the second CSI belongs to a second time unit range, and any time unit in the first time unit range is earlier than any time unit in the second time unit range.

[0027] Based on the above technical solution, when predicting the CSI of the future moment through the first model, the closer the future moment is to the acquisition moment of the input of the first model, that is, the earlier the future moment is, the more accurate the CSI of the future moment predicted by the first model is. Therefore, if the terminal device preferentially sends the CSI corresponding to the earlier prediction time unit to the network device, it is beneficial for the network device to determine more accurate communication parameters required for subsequent data transmission between the terminal device and the network device according to the CSI with higher accuracy.

[0028] In combination with the first aspect, in some implementations of the first aspect, the first information includes a time domain resource unit of a reference signal resource set used to obtain the target CSI, and the priority of the target CSI is higher when the time domain resource unit of the reference signal resource set used to obtain the target CSI is later.

[0029] For example, the priority of the first CSI is higher than the priority of the second CSI, including: the time domain resource unit of the reference signal resource set used to obtain the first CSI is later than the time domain resource unit of the reference signal resource set used to obtain the second CSI; or, the time domain resource unit of the reference signal resource set used to obtain the first CSI belongs to a first time domain resource unit range, the time domain resource unit of the reference signal resource set used to obtain the second CSI belongs to a second time domain resource unit range, and any time domain resource unit in the first time domain resource unit range is later than any time domain resource unit in the second time domain resource unit range.

[0030] Based on the above technical solution, the closer the time of acquiring the CSI is to the time of using the CSI, the more likely it is to obtain higher communication quality using the CSI. Therefore, if the terminal device preferentially sends the CSI acquired at a later time (i.e., the time domain resource unit of the corresponding reference signal resource is later) to the network device, it is beneficial for the network device to determine more accurate communication parameters required for subsequent data transmission between the terminal device and the network device according to the CSI acquired at a later time.

[0031] In some implementations of the first aspect, the first information comprises: a prediction time unit corresponding to the target CSI and the second information, and the second information comprises one or more of: prediction probability information or prediction confidence information included in the target CSI, or signal quality information included in the target CSI; and the priority of the target CSI is related to the first information, including: the priority of the target CSI is related to a first priority rule and / or a second priority rule, the priority of the first priority rule is higher than the priority of the second priority rule, the first priority rule is related to the prediction time unit corresponding to the target CSI, and the second priority rule is related to the second information.

[0032] Based on the above technical solution, when determining the priority of the target CSI, the priority of the target CSI can be determined according to the prediction time unit corresponding to the target CSI first. If the priority of the target CSI cannot be determined according to the prediction time unit corresponding to the target CSI, the priority of the target CSI can be determined based on the second information.

[0033] For example, if the prediction time unit corresponding to the first CSI is the same as the prediction time unit corresponding to the second CSI, or the prediction time unit corresponding to the first CSI and the prediction time unit corresponding to the second CSI belong to the same time unit range, the relationship between the priority of the first CSI and the priority of the second CSI cannot be determined. In this case, for example, the relationship between the priority of the first CSI and the priority of the second CSI can be determined based on the prediction probability information included in the first CSI and the prediction probability information included in the second CSI.

[0034] In some implementations of the first aspect, the first information comprises: a time domain resource unit used to obtain a reference signal resource set of the target CSI and signal quality information included in the target CSI; and the priority of the target CSI is related to the first information, including: the priority of the target CSI is related to a third priority rule and / or a fourth priority rule, the priority of the third priority rule is higher than the priority of the fourth priority rule, the third priority rule is related to the time domain resource unit used to obtain the reference signal resource set of the target CSI, and the second priority rule is related to the signal quality information included in the target CSI.

[0035] Based on the above technical solution, when determining the priority of the target CSI, the priority of the target CSI can be determined according to the time domain resource unit used to obtain the reference signal resource set of the target CSI first. If the priority of the target CSI cannot be determined according to the time domain resource unit used to obtain the reference signal resource set of the target CSI, the priority of the target CSI can be determined based on the signal quality information included in the target CSI.

[0036] For example, if the time domain resource units of the reference signal resource set used to obtain the first CSI are the same as the time domain resource units of the reference signal resource set used to obtain the second CSI, the priority of the first CSI and the priority of the second CSI cannot be determined according to the relationship. In this case, the priority of the first CSI and the priority of the second CSI can be determined based on the signal quality information included in the first CSI and the signal quality information included in the second CSI.

[0037] In a second aspect, a communication apparatus is provided, which is configured to execute the method in the first aspect or any possible implementation of the first aspect. Specifically, the apparatus can include units and / or modules configured to execute the method in the first aspect or any possible implementation of the first aspect, such as a processing unit and / or a communication unit.

[0038] In an implementation, the apparatus is a communication device, such as a terminal device. When the apparatus is a communication device, the communication unit can be a transceiver, or an input / output interface; and the processing unit can be at least one processor. Optionally, the transceiver can be a transceiver circuit. Optionally, the input / output interface can be an input / output circuit.

[0039] In another implementation, the apparatus is a chip, chip system or circuit, or a communication module for a communication device, such as a terminal device. When the apparatus is a chip, chip system or circuit for a communication device, the communication unit can be an input / output interface, an interface circuit, an output circuit, an input circuit, a pin or related circuit on the chip, chip system or circuit, etc.; and the processing unit can be at least one processor, a processing circuit or a logic circuit, etc.

[0040] In a third aspect, a communication apparatus is provided, which includes at least one processor configured to execute computer programs or instructions to perform the method in the first aspect and any possible implementation of the first aspect. Optionally, the apparatus further includes a memory configured to store the computer programs or instructions. Optionally, the apparatus further includes a communication interface through which the processor reads the computer programs or instructions.

[0041] In an implementation, the apparatus is a communication device, such as a terminal device.

[0042] In another implementation, the apparatus is a chip, chip system or circuit for a communication device, such as a terminal device.

[0043] In a fourth aspect, a processor is provided, which is configured to perform the method in the first aspect.

[0044] For the sending and obtaining / receiving operations involved by the processor, if no special description is made, or if it does not conflict with the actual role or internal logic in the related description, it can be understood as the processor output and receiving, input operations, and can also be understood as the sending and receiving operations performed by the radio frequency circuit and the antenna, and the present application does not limit this.

[0045] Optionally, the apparatus further comprises a memory for storing a program; correspondingly, the at least one processor is configured to execute the computer program or instructions in the memory.

[0046] Optionally, the apparatus further comprises a communication interface. The communication interface is coupled with the processor, and can be used for inputting information to the processor, or outputting information in the processor.

[0047] In a fifth aspect, a computer readable storage medium is provided, which stores program codes for execution by an apparatus, and the program codes comprise codes for executing the method in the first aspect and any possible implementation manner of the first aspect.

[0048] In a sixth aspect, a computer program product containing instructions is provided, which, when executed on a computer, causes the computer to execute the method in the first aspect and any possible implementation manner of the first aspect.

[0049] In a seventh aspect, a chip is provided, which comprises a processor and a communication interface. The processor reads instructions on a memory through the communication interface, and executes the method provided by the first aspect and any implementation manner of the first aspect.

[0050] Optionally, as an implementation manner, the chip further comprises a memory, and the memory stores computer programs or instructions. The processor is configured to execute the computer programs or instructions on the memory, and when the computer programs or instructions are executed, the processor is configured to execute the method provided by the first aspect and any implementation manner of the first aspect.

[0051] In an eighth aspect, a communication system is provided, which comprises a terminal device and / or a network device. The terminal device and / or the network device are configured to implement the method provided by the first aspect and any possible implementation manner of the first aspect.

[0052] It should be understood that the beneficial effects of the second aspect to the eighth aspect and any implementation manner thereof can refer to the first aspect and any implementation manner thereof. BRIEF DESCRIPTION OF DRAWINGS

[0053] FIG. 1 is a schematic diagram of a possible application framework in a communication system.

[0054] FIG. 2 is a schematic diagram of a possible application framework in a communication system.

[0055] Figure 3 is a schematic diagram of a communication system suitable for use in the communication method of embodiments of the application.

[0056] Figure 4 is a schematic diagram of a communication system suitable for use in the communication method of embodiments of the application.

[0057] Figure 5 is a schematic diagram of a neuron structure.

[0058] Figure 6 shows a schematic diagram of a prediction procedure for beam management scheme 1.

[0059] Figure 7 shows a schematic diagram of a prediction procedure for beam management scheme 2.

[0060] Figure 8 is a schematic diagram of a communication method 800 provided by embodiments of the application.

[0061] Figure 9 is a schematic diagram of a communication method 900 provided by embodiments of the application.

[0062] Figure 10 is a schematic diagram of a communication method 1000 provided by embodiments of the application.

[0063] Figure 11 is a schematic diagram of a communication method 1100 provided by embodiments of the application.

[0064] Figure 12 is a schematic diagram of a communication apparatus 2000 provided by embodiments of the application.

[0065] Figure 13 is a schematic diagram of another communication apparatus 3000 provided by embodiments of the application. DETAILED DESCRIPTION

[0066] The technical solutions in the application will be described below with reference to the accompanying drawings.

[0067] The technical solutions provided in the present application can be applied to various communication systems, for example, a 5th generation (5G) or new radio (NR) system, a long term evolution (LTE) system, an LTE frequency division duplex (FDD) system, an LTE time division duplex (TDD) system, a wireless local area network (WLAN) system, a satellite communication system, a future communication system, or a fusion system of multiple systems, and the like. The technical solutions provided in the present application can also be applied to device to device (D2D) communication, vehicle-to-everything (V2X) communication, machine to machine (M2M) communication, machine type communication (MTC), and an internet of things (IoT) communication system or other communication systems.

[0068] A device in a communication system can send a signal to another device or receive a signal from another device. The signal can include information, signaling, or data, and the like. The device can also be replaced by an entity, a network entity, a communication device, a mobile device, a network element, a communication module, a node, a communication node, a communication apparatus, and the like. The device is taken as an example for description in the present disclosure. For example, the communication system can include at least one terminal device and at least one network device. The network device can send a downlink signal to the terminal device, and / or the terminal device can send an uplink signal to the network device.

[0069] In the embodiments of the present application, the terminal device can also be referred to as a user equipment (UE), an access terminal, a user unit, a user station, a mobile station, a mobile station, a remote station, a remote terminal, a mobile device, a user terminal, a terminal, a wireless communication device, a user agent, or a user apparatus.

[0070] The terminal device can be a device providing voice / data, for example, a handheld device with wireless connection function, a vehicle-mounted device, etc. At present, some examples of terminals are: mobile phone, tablet computer, notebook computer, palm computer, mobile internet device (MID), wearable device, virtual reality (VR) device, augmented reality (AR) device, wireless terminal in industrial control, wireless terminal in self driving, wireless terminal in remote medical surgery, wireless terminal in smart grid, wireless terminal in transportation safety, wireless terminal in smart city, wireless terminal in smart home, cellular phone, cordless phone, session initiation protocol (SIP) phone, wireless local loop (WLL) station, personal digital assistant (PDA), handheld device with wireless communication function, computing device or other processing device connected to a wireless modem, wearable device, terminal device in a 5G network, or terminal device in a future evolved public land mobile network (PLMN), etc. The embodiments of the present application are not limited thereto.

[0071] By way of example and not limitation, in the embodiments of the present application, the terminal device can also be a wearable device. The wearable device can also be referred to as a wearable smart device, which is a general term for devices that are designed and developed by applying wearable technology to daily wear, such as glasses, gloves, watches, clothing, and shoes. The wearable device is a portable device that is directly worn on the body or integrated into the user's clothes or accessories. The wearable device is not only a hardware device, but also a device that realizes powerful functions through software support and data interaction and cloud interaction. The general wearable smart device includes devices with full functions, large size, and the ability to realize complete or partial functions without relying on a smart phone, such as smart watches or smart glasses, and devices that focus on a certain application function and need to be used in cooperation with other devices, such as smart phones, such as various smart wristbands and smart jewelry for monitoring vital signs.

[0072] In the embodiments of the present application, the apparatus for implementing the function of the terminal device can be a terminal device, or can be an apparatus capable of supporting the terminal device to implement the function, for example, a chip system, which can be installed in the terminal device or used in matching with the terminal device. In the embodiments of the present application, the chip system can be composed of a chip, or can include the chip and other discrete devices. In the embodiments of the present application, only the apparatus for implementing the function of the terminal device is taken as an example for description, and the scheme of the embodiments of the present application is not limited in this way.

[0073] The network device in the embodiments of the present application can include a device for communicating with a terminal device, for example, the network device can include an access network device or a radio access network device, for example, the network device can be a base station. The radio access network device in the embodiments of the present application can refer to a radio access network (RAN) node (or device) that accesses a terminal device to a wireless network. The base station can broadly cover various names in the following or be replaced by the following names, such as: Node B (NodeB), evolved Node B (eNB), next generation Node B (gNB), relay station, access point, transmitting and receiving point (TRP), transmitting point (TP), primary station, secondary station, motor slide retainer (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), radio unit (RU), positioning node, etc. The base station can be a macro base station, a micro base station, a relay node, a donor node or the like, or a combination thereof. The base station can also refer to a communication module, modem or chip used in the above-mentioned devices or apparatuses. The base station can also be a mobile switching center and a device that performs the function of a base station in D2D, V2X, M2M communication, a device that performs the function of a base station in future communication systems, etc. The base station can support networks of the same or different access technologies. Optionally, the RAN node can also be a server, a wearable device, a vehicle or a vehicle-mounted device, etc. For example, the access network device in the vehicle to everything (V2X) technology can be a road side unit (RSU). The embodiments of the present application do not limit the specific technology and specific device form of the network device.

[0074] The base station can be fixed or mobile. For example, a helicopter or a drone can be configured to act as a mobile base station, and one or more cells can move according to the location of the mobile base station. In other examples, the helicopter or the drone can be configured to serve as a device that communicates with another base station.

[0075] In some deployments, the network device mentioned by embodiments of the present application can be a device including a CU, or a DU, or a device including a CU and a DU, or a control plane CU node (central unit-control plane (CU-CP)) and a user plane CU node (central unit-user plane (CU-UP)), and a DU node. For example, the network device can include a gNB-CU-CP, a gNB-CU-UP, and a gNB-DU.

[0076] In some deployments, wireless access is assisted by multiple RAN nodes cooperating to assist a terminal, and different RAN nodes respectively implement part of the functions of a base station. For example, the RAN node can be a CU, a DU, a CU-CP, a CU-UP, or an RU, etc. The CU and the DU can be separately arranged, or can also be included in the same network element, such as a BBU. The RU can be included in a radio frequency device or a radio frequency unit, such as an RRU, an AAU, or an RRH.

[0077] The RAN node can support one or more types of fronthaul interfaces, different fronthaul interfaces respectively corresponding to DUs and RUs having different functions. If the fronthaul interface between the DU and the RU is a common public radio interface (CPRI), the DU is configured to implement one or more of baseband functions, and the RU is configured to implement one or more of radio frequency functions. If the fronthaul interface between the DU and the RU is another interface, which, relative to the CPRI, moves one or more of partial baseband functions of the downlink and / or uplink, such as, for the downlink, one or more of precoding, digital beamforming (BF), or inverse fast Fourier transform (IFFT) / add cyclic prefix (CP), from the DU to the RU for implementation, and for the uplink, one or more of digital beamforming (BF), or fast Fourier transform (FFT) / remove cyclic prefix (CP), from the DU to the RU for implementation. In a possible implementation, the interface can be an enhanced common public radio interface (eCPRI). Under the eCPRI architecture, the splitting manner between the DU and the RU is different, corresponding to different categories (Cat) of eCPRI, such as eCPRI Cat A, B, C, D, E, and F.

[0078] Taking eCPRI Cat A as an example, for downlink transmission, with layer mapping as the cut, the DU is configured to implement layer mapping and one or more functions (i.e., one or more of encoding, rate matching, scrambling, modulation, layer mapping) before layer mapping, while other functions (e.g., one or more of RE mapping, digital beamforming (BF), or inverse fast Fourier transform (IFFT) / addition of cyclic prefix (CP)) after layer mapping are implemented in the RU. For uplink transmission, with de-RE mapping as the cut, the DU is configured to implement de-mapping and one or more functions (i.e., one or more of decoding, de-rate matching, de-scrambling, de-modulation, inverse discrete Fourier transform (IDFT), channel equalization, de-RE mapping) before de-mapping, while other functions (e.g., one or more of digital BF or fast Fourier transform (FFT) / CP removal) after de-mapping are implemented in the RU. It can be understood that the function description of the DU and the RU corresponding to various types of eCPRI can refer to the eCPRI protocol, which is not described here.

[0079] In a possible design, the processing unit in the BBU for implementing baseband functions is referred to as a base band high (BBH) unit, and the processing unit in the RRU / AAU / RRH for implementing baseband functions is referred to as a base band low (BBL) unit.

[0080] In different systems, the CU (or CU-CP and CU-UP), DU or RU can also have different names, but those skilled in the art can understand their meanings. For example, in an open RAN (ORAN) system, the CU can also be referred to as an O-CU (open CU), the DU can also be referred to as an O-DU, the CU-CP can also be referred to as an O-CU-CP, the CU-UP can also be referred to as an O-CU-UP, and the RU can also be referred to as an O-RU. Any of the CU (or CU-CP, CU-UP), DU and RU in this application can be implemented by a software module, a hardware module, or a combination of a software module and a hardware module.

[0081] In the embodiments of the present application, the apparatus for implementing the function of the network device can be a network device, or an apparatus capable of supporting the network device to implement the function, such as a chip system, a hardware circuit, a software module, or a hardware circuit plus a software module. The apparatus can be installed in the network device or used in combination with the network device. In the embodiments of the present application, only the apparatus for implementing the function of the network device is taken as an example for illustration, and the scheme of the embodiments of the present application is not limited in this way.

[0082] The network device and / or the terminal device can be deployed on land, including indoors or outdoors, handheld or vehicle-mounted; can also be deployed on water; and can also be deployed on airplanes, balloons and satellites in the air. The scenarios in which the network device and the terminal device are located are not limited in the embodiments of the present application. In addition, the terminal device and the network device can be hardware devices, or software functions running on special hardware, software functions running on general hardware, such as virtualized functions instantiated on a platform (for example, a cloud platform), or entities including special or general hardware devices and software functions. The specific forms of the terminal device and the network device are not limited in the present application.

[0083] In a wireless communication network, for example, in a mobile communication network, the services supported by the network are increasingly diverse, and therefore the needs to be met are increasingly diverse. For example, the network needs to be able to support ultra-high rates, ultra-low latencies, and / or ultra-large connections. This feature makes network planning, network configuration, and / or resource scheduling increasingly complex. In addition, as the functions of the network become increasingly powerful, for example, supporting increasingly high frequency spectrums, supporting high-order multiple input multiple output (MIMO) technology, supporting beamforming, and / or supporting new technologies such as beam management, network energy saving has become a hot research topic. These new needs, new scenarios and new features bring unprecedented challenges to network planning, operation and efficient operation. In order to meet this challenge, artificial intelligence technology can be introduced into the wireless communication network, thereby realizing network intelligentization.

[0084] In order to support artificial intelligence (AI) technology in the wireless network, an AI node can also be introduced into the network.

[0085] Optionally, the AI node can be deployed in one or more of the following positions in the communication system: an access network device, a terminal device, or a core network device, etc., or the AI node can also be deployed separately, for example, deployed in a position other than any of the above devices, such as a host or a cloud server of an over the top (OTT) system. The AI node can communicate with other devices in the communication system, which can be one or more of the following: a wireless access network device, a terminal device, or a network element of a core network, etc.

[0086] It can be understood that the present application does not limit the number of AI nodes. For example, when there are multiple AI nodes, the multiple AI nodes can be divided based on functions, such as different AI nodes being responsible for different functions.

[0087] It can also be understood that the AI node can be a separate device, can be integrated into the same device to implement different functions, or can be a network element in a hardware device, or a software function running on a dedicated hardware, or a virtualized function instantiated on a platform (e.g., a cloud platform), and the present application does not limit the specific form of the AI node.

[0088] The AI node can be an AI network element or an AI module.

[0089] FIG. 1 is a schematic diagram of a possible application framework in a communication system. As shown in FIG. 1, the network elements in the communication system are connected through interfaces (such as next generation (NG) interfaces, Xn interfaces), or air interfaces. One or more AI modules (only one is shown in FIG. 1 for clarity) are provided in one or more of the following network element nodes: a core network device, an access network node or device (RAN node or device), a terminal, or one or more devices in operation administration and maintenance (OAM). The access network node can be a separate RAN node, or can include multiple RAN nodes, for example, including a CU and a DU. The CU and / or DU can also be provided with one or more AI modules. Optionally, the CU can also be split into a CU-CP and a CU-UP. One or more AI models are provided in the CU-CP and / or the CU-UP.

[0090] The AI module is used to implement a corresponding AI function. The AI modules deployed in different network elements can be the same or different. The AI module can implement different functions according to different parameter configurations of the model of the AI module. The model of the AI module can be configured based on one or more of the following parameters: a structure parameter (for example, at least one of a number of neural network layers, a width of a neural network, a connection relationship between layers, a weight of a neuron, an activation function of a neuron, or a bias in the activation function), an input parameter (for example, a type of input parameter and / or a dimension of the input parameter), or an output parameter (for example, a type of output parameter and / or a dimension of the output parameter). The bias in the activation function can also be referred to as a bias of the neural network.

[0091] One AI module can have one or more models. One model can infer an output including one parameter or multiple parameters. The learning process, the training process, or the inference process of different models can be deployed in different nodes or devices, or can be deployed in the same node or device.

[0092] Figure 2 is a schematic diagram of a possible application framework in a communication system. As shown in Figure 2, the communication system includes a RAN intelligent controller (RIC). For example, the RIC can be the AI module shown in Figure 1, used to implement AI-related functions. The RIC includes a near-real time RIC (near-RT RIC) and a non-real time RIC (Non-RT RIC). The non-real time RIC mainly processes non-real time information, such as data that is not sensitive to latency, which can be on the order of seconds. The real-time RIC mainly processes near-real-time information, such as data that is relatively sensitive to latency, which is on the order of tens of milliseconds.

[0093] The near-real-time RIC is used for model training and inference. For example, for training an AI model, inference is performed using the AI model. The near-real-time RIC can obtain network-side and / or terminal-side information from RAN nodes (such as CUs, CU-CPs, CU-UPs, DUs, and / or RUs) and / or terminals. This information can be used as training data or inference data. Optionally, the near-real-time RIC can submit inference results to RAN nodes and / or terminals. Optionally, the inference results can be exchanged between CUs and DUs, and / or between DUs and RUs. For example, the near-real-time RIC submits the inference results to the DU, and the DU sends the inference results to the RU.

[0094] The non-real-time RIC is also used for model training and inference. For example, the non-real-time RIC is used for training an AI model, and inference is performed using the model. The non-real-time RIC can obtain network-side and / or terminal-side information from a RAN node (e.g., a CU, a CU-CP, a CU-UP, a DU, and / or a RU) and / or a terminal. The information can be used as training data or inference data, and the inference result can be delivered to the RAN node and / or the terminal. Alternatively, the inference result can be exchanged between a CU and a DU, and / or between a DU and a RU, for example, the non-real-time RIC delivers the inference result to the DU, and the inference result is further delivered to the RU by the DU.

[0095] The near-real-time RIC and the non-real-time RIC can be respectively configured as a network element alone. Alternatively, the near-real-time RIC and the non-real-time RIC can be part of other devices, for example, the near-real-time RIC is configured in a RAN node (e.g., a CU, a DU), and the non-real-time RIC is configured in an OAM, a cloud server, a core network device, or other network devices.

[0096] FIG. 3 is a schematic diagram of a communication system suitable for the communication method according to the embodiments of the present application. As shown in FIG. 3, the communication system 100 can include at least one network device, for example, the network device 110 shown in FIG. 3, and the communication system 100 can also include at least one terminal device, for example, the terminal device 120 and the terminal device 130 shown in FIG. 3. The network device 110 and the terminal devices (e.g., the terminal device 120 and the terminal device 130) can communicate with each other through wireless links. The communication devices in the communication system, for example, the network device 110 and the terminal device 120, can communicate with each other through multi-antenna technology.

[0097] FIG. 4 is a schematic diagram of a communication system suitable for the communication method according to the embodiments of the present application. Compared with the communication system 100 shown in FIG. 3, the communication system 200 shown in FIG. 4 further includes an AI network element 140. The AI network element 140 is used to perform AI-related operations, for example, constructing a training data set or training an AI model.

[0098] In a possible implementation, the network device 110 can send data related to the training of the AI model to the AI network element 140, the AI network element 140 constructs a training data set and trains the AI model. For example, the data related to the training of the AI model can include data reported by the terminal device. The AI network element 140 can send the result of the AI model related operation to the network device 110 and forward it to the terminal device through the network device 110. For example, the result of the AI model related operation can include at least one of the following: a trained AI model, an evaluation result or a test result of the model, and the like. For example, part of the trained AI model can be deployed on the network device 110, and the other part can be deployed on the terminal device. Alternatively, the trained AI model can be deployed on the network device 110. Alternatively, the trained AI model can be deployed on the terminal device.

[0099] It should be understood that FIG. 4 is only used as an example to illustrate that the AI network element 140 is directly connected to the network device 110, and in other scenarios, the AI network element 140 can also be connected to the terminal device. Alternatively, the AI network element 140 can be connected to both the network device 110 and the terminal device. Alternatively, the AI network element 140 can also be connected to the network device 110 through a third-party network element. The connection relationship between the AI network element and other network elements is not limited in the embodiments of the present application.

[0100] The AI network element 140 can also be set as a module in the network device and / or the terminal device, for example, in the network device 110 or the terminal device shown in FIG. 3.

[0101] It should be noted that FIGS. 3 and 4 are only simplified schematic diagrams for understanding, for example, the communication system can also include other devices, such as wireless relay devices and / or wireless backhaul devices, which are not shown in FIGS. 3 and 4. In actual application, the communication system can include multiple network devices and multiple terminal devices. The number of network devices and terminal devices included in the communication system is not limited in the embodiments of the present application.

[0102] In order to facilitate understanding of the scheme of the embodiments of the present application, the terms that can be involved in the embodiments of the present application are explained as follows.

[0103] (1) Artificial intelligence: It is to make the machine have learning ability and can accumulate experience to solve the problems that can be solved by human experience, such as natural language understanding, image recognition and chess playing. Artificial intelligence can be understood as the intelligence shown by the machine made by human. Artificial intelligence usually refers to the technology of presenting human intelligence through computer program. The goal of artificial intelligence includes understanding intelligence by constructing symbolic reasoning or reasoning computer program.

[0104] (2) Machine Learning (ML): is a way of implementing artificial intelligence. Machine learning is a method that can give a machine the ability to learn and complete functions that cannot be completed by direct programming. In a practical sense, machine learning is a method of training a model by using data and then using the model for prediction. There are many methods of machine learning, such as neural networks (NN), decision trees, support vector machines, etc. Machine learning theory is mainly about designing and analyzing algorithms that allow computers to automatically learn. Machine learning algorithms are a class of algorithms that automatically analyze rules from data and use the rules to predict unknown data.

[0105] (3) Neural Network: Neural network is a specific embodiment of machine learning method. Neural network is a mathematical model that simulates the behavior characteristics of animal neural network for information processing. As shown in FIG. 5, neural network is a network that can be composed of three types of calculation layers, input layer, hidden layer and output layer. Each layer has one or more logical judgment units, which are called neurons. Common neural network structures include feedforward neural network (FNN), convolutional neural network (CNN) and recurrent neural network (RNN), etc., which are all based on neurons. Among them, each neuron can perform weighted summation operation on its input value, and the result of the weighted summation operation is output through a nonlinear function. The weights of the neurons in the neural network and the nonlinear function can be referred to as the parameters of the neural network, the connection relationship between the neurons in the neural network can be referred to as the structure of the neural network, and all the parameters of the neurons in the neural network constitute the parameters of the neural network.

[0106] (4) Deep Neural Network: Neural network with multiple hidden layers.

[0107] (5) Deep Learning: Machine learning using deep neural networks.

[0108] (6) AI Model: is an algorithm or computer program that can realize AI function. The AI model represents the mapping relationship between the input and output of the model, or in other words, the AI model is a function model that maps a certain dimension of input to a certain dimension of output. The parameters of the function model can be obtained by machine learning training. For example, f(x) = ax 2+b is a quadratic function model, which can be regarded as an AI model, and a and b are parameters of the AI model, and a and b can be obtained by machine learning training. Exemplarily, the AI model mentioned in the embodiments below is not limited to a neural network, a linear regression model, a decision tree model, a support vector machine (SVM), a Bayesian network, a Q learning model, or other machine learning (ML) models.

[0109] The implementation of the AI model can be hardware circuit, software, or a combination of software and hardware, without limitation. Non-limiting examples of software include program code, programs, subprograms, instructions, instruction sets, codes, code segments, software modules, applications, or software applications, etc.

[0110] (7) Beam and beam management:

[0111] In this application, a beam refers to a specific shape and direction of energy distribution formed by electromagnetic waves transmitted by an antenna in space, therefore, K beams refer to K different shapes and / or different directions of energy distribution. One implementation of a beam is to use a sensor array (such as an antenna array) to achieve the purpose of directional transmission and reception of signals. Specifically, by adjusting the phase and amplitude of each element (such as an antenna) in the sensor array, so that the signals of certain angles obtain constructive interference (i.e. the wave peak and the wave peak are added, and the signal is enhanced), while the signals of other angles obtain destructive interference (i.e. the wave peak and the wave trough are offset, and the signal is weakened), thereby forming a beam with a specific shape and direction. The beam is a kind of communication resource. The beam can be a wide beam, or a narrow beam, or other types of beams. The technology of forming the beam can be beamforming technology or other technical means. The beamforming technology can be digital beamforming technology, analog beamforming technology, or hybrid digital / analog beamforming technology. Different beams can be considered as different resources. The same information or different information can be transmitted through different beams. Alternatively, multiple beams with the same or similar communication characteristics can be considered as one beam. One beam can include one or more antenna ports for transmitting at least one of a data channel, a control channel, and a sounding signal. The beam, which can also be understood as a spatial resource, can refer to a transmission or reception precoding vector with energy transmission directivity. The energy transmission directivity can refer to that the signal received after being pre-coded by the precoding vector has better reception power in a certain spatial position, such as satisfying the reception demodulation signal-to-noise ratio, and the energy transmission directivity can also refer to that the same signal transmitted from different spatial positions has different reception power by using the precoding vector. Different devices (such as network devices or terminal devices) can have different precoding vectors, and different devices can also have different precoding vectors, i.e. corresponding to different beams. According to the configuration or capability of a device, the device can use one or more of multiple different precoding vectors at the same time, i.e. can form one beam or multiple beams at the same time. From the perspectives of transmission and reception, the beam can be divided into transmission beams and reception beams.

[0112] Optionally, beam can also be replaced by first signal, downlink beam, transmission beam, transmitting beam, fine beam, narrow beam, wide beam, spatial filter, spatial filter, spatial parameters, spatial domain transmit filter, port, etc. The beam used for transmitting signal can be referred to as transmission beam (Tx beam), and can be referred to as spatial domain transmit filter or spatial domain transmit parameter; the beam used for receiving signal can be referred to as reception beam (Rx beam), and can be referred to as spatial domain receiver filter or spatial domain receive parameter.

[0113] In this application, the information used to indicate the beam used for transmission can be referred to as beam indication information. The beam indication information can be one or more of the following: beam number (or number, index, identity (ID), etc.), uplink signal resource number, downlink signal resource number, absolute index of the beam, relative index of the beam, logical index of the beam, index of the antenna port corresponding to the beam, antenna port group index corresponding to the beam, index of the downlink signal corresponding to the beam, time index of the downlink synchronization signal block corresponding to the beam, beam pair link (BPL) information, transmission parameter (Tx parameter) corresponding to the beam, reception parameter (Rx parameter) corresponding to the beam, transmission weight corresponding to the beam, weight matrix corresponding to the beam, weight vector corresponding to the beam, reception weight corresponding to the beam, index of the transmission weight corresponding to the beam, index of the weight matrix corresponding to the beam, index of the weight vector corresponding to the beam, index of the reception weight corresponding to the beam, reception codebook corresponding to the beam, transmission codebook corresponding to the beam, index of the reception codebook corresponding to the beam, index of the transmission codebook corresponding to the beam. The beam indication information can also be embodied as a transmission configuration index (TCI) or a TCI state. One TCI state includes one or more quasi co-location (QCL) information, and each QCL information includes the ID of one reference signal (or synchronization signal block) and one QCL type. For example: the terminal device can need to determine the beam for receiving the physical downlink shared channel (PDSCH) according to the TCI state indicated by the network device (usually carried by the physical downlink control channel (PDCCH)). In this application, the index information of the beam is a typical example of the beam indication information, and the index of the beam can be replaced by other beam indication information that can indicate the beam.

[0114] The reference signal resource and the beam described in the embodiments of this application can have a corresponding relationship, such as a one-to-one correspondence, or a many-to-one relationship, or a one-to-many relationship. In one possible way, the reference signal resource can include a spatial domain resource, and the spatial domain resource included in the reference signal resource is the beam corresponding to the reference signal resource. In another possible way, the reference signal resource can not include a spatial domain resource, such as a time domain resource and / or a frequency domain resource.

[0115] The reference signal transmitted on the reference signal resource is used to determine the signal quality of the beam corresponding to the reference signal resource.

[0116] In order to realize beam management, methods such as hierarchical scanning can be used to reduce the overhead of beam scanning, for example, first scanning a wide beam, and then scanning part of the narrow beam under the wide beam. The selection of the beam is mainly completed through the reference signal and the corresponding beam measurement. The reference signal mainly includes a synchronization signal block (SS / PBCH block, SSB) and / or a channel state information-reference signal (CSI-RS) or a reference signal with similar functions, which are not limited here. The SSB is a cell broadcast signal, which contains a primary synchronization signal (PSS), a secondary synchronization signal (SSS), a physical broadcast channel (PBCH), and a demodulation reference signal (DMRS). The SSB can be periodically transmitted according to the cell configuration, and its function is not only used for beam management, but also for initial access, time-frequency synchronization, etc. Simply, the SSB signal can be considered as a wide beam signal. Correspondingly, the CSI-RS is a UE-level signal, and the network side configures one or more groups of CSI-RS signals for the UE according to the actual situation. Similarly, the CSI-RS is not only used for beam management, but also for channel quality measurement, etc. The CSI-RS signal can be understood as a narrow beam signal.

[0117] Traditional beam management systems perform two-step beam sweeping in the serving beam selection phase: in the first stage, SSBs (i.e., wide beams) are swept, in which the UE measures and reports the reference signal received power (RSRP) of the SSB beams to the network side; in the second stage, the network side selects the SSB beam with the largest RSRP based on the RSRP of the SSB beams reported by the UE, and configures a CSI-RS signal for the terminal device to sweep the narrow beams under the coverage of the SSB beam with the largest RSRP to determine the best beam (or optimal beam). The optimal beam can refer to a beam that maximizes the reception or transmission energy. For example, if the receiver uses different receive beams to receive signals, the optimal beam can include the beam with the largest RSRP (or SINR) of the signals received by the multiple different receive beams. For another example, if the transmitter uses different transmit beams to transmit signals, the optimal beam can include the beam with the largest RSRP (or SINR) of the signals measured by the receiver when the signals transmitted by the multiple transmit beams arrive at the receiver. In recent years, artificial intelligence (AI) technology has played a great role in beam management, especially in reducing the overhead of beam sweeping. Typically, an AI model takes the received power of wide beams or sparsely swept narrow beams measured by the UE as input, and the AI model infers K candidate best narrow beams, which can be referred to as Top-K candidate beams, as output. As an example, the AI model can output the RSRP values or IDs of the beams in the beam set (including the K best narrow beams). The network side performs scanning based on the Top-K candidate beams to finally determine the best beam, and K is a positive integer equal to or greater than 1. Typically, the AI model can be deployed on the UE side or the network side.

[0118] Currently, the application of AI beam management (BM) mainly lies in two aspects, namely spatial domain prediction and time domain prediction, which can be referred to as BM case 1 and BM case 2, respectively.

[0119] FIG. 6 is a schematic diagram of a prediction process of BM case 1. The input of the AI model is the beam information (typically RSRP values) of a specific pattern swept at a certain time, and the set corresponding to the beam information is referred to as set B (set B). After prediction by the AI model, the set corresponding to the output beam information is referred to as set A (set A). The terminal can select the top-K beams in set A and report the related information (such as RSRP or probability value as the best beam) of the top-K beams to the network side. It should be noted that set B belongs to set A, and the top-K beams belong to set A.

[0120] FIG. 7 is a schematic diagram of a prediction process of BM case 2. A sliding time window is used to collect input information of the AI model, such as the RSRP of set B from time (t-N+1) to time (t) in FIG. 7, which includes the RSRP corresponding to each beam in set B. Time (t-N+1) to time (t) corresponds to an observation time window T1. The AI model processes the input information to output a prediction result in a future time window. The future time window is shown as time (t+1) to time (t+M) in FIG. 7, also denoted as time window T2. If the AI model is a regression model, the prediction result is the RSRP of set A, which includes the RSRP corresponding to each beam in set A; if the AI model is a classification model, the prediction result is the ID of the top-K beams. Accordingly, the terminal device finally selects the top-K beams in set A and their related information, or selects the beam ID of the top-K beams to report to the network side. top-K(t+1) represents the prediction result at time (t+1), which can be the beam ID of the top-K beams output by the AI model.

[0121] wherein the time can be understood as any one or more of a time slot, a subframe, a frame, or an OFDM symbol. For example, the time corresponding to A represents the time slot or subframe or frame or OFDM symbol in which A is located, or the first time slot or subframe or frame or OFDM symbol in which A is located, or the last time slot or subframe or frame or OFDM symbol in which A is located.

[0122] In a codebook-based CSI feedback mode, for some codebooks with large overhead, such as release (R) 15 type II, R16 type II, R17 type II, etc., the reporting content of the CSI report can be divided into two parts, i.e., a first part and a second part. The first part can also be referred to as part 1, and the second part can also be referred to as part 2. Among them, CQI, RI, etc. belong to the first part, and PMI, etc. belong to the second part. The second part can be transmitted through a physical uplink shared channel (PUSCH) or a physical uplink control channel (PUCCH). Since the size of the second part is not fixed, and multiple CSI reports may need to be transmitted on the same resource, the size of the second part included in multiple CSI reports may exceed the range that can be carried by the channel. In a related solution, when the number of coded modulation symbols (or modulation symbols) of the second part to be transmitted exceeds a certain threshold, the terminal device will discard the content of the lower priority part in order of priority of the reporting content until the number of coded modulation symbols of the second part to be transmitted does not exceed the certain threshold. The number of coded modulation symbols of the second part to be transmitted and the certain threshold can be calculated by a formula and parameters defined by a protocol.

[0123] With the development of artificial intelligence (AI) technology, an AI model-based CSI feedback mode has emerged, for example, a UE feeds back the IDs of top-K beams predicted based on an AI model to a base station. Accordingly, in the CSI feedback process, multiple types of AI-related CSI reports have emerged. The content of the AI-related CSI report is different from that of the codebook-based CSI report, and the above-mentioned solution is no longer applicable to the AI model-based CSI feedback mode.

[0124] For example, the CSI report in the embodiments of the present application can include one or more CSIs, and the CSI can include one or more of the following: identification information of a reference signal resource corresponding to the CSI, signal quality information corresponding to the reference signal resource corresponding to the CSI, prediction probability information or prediction confidence information corresponding to the reference signal resource corresponding to the CSI, or monitoring index information corresponding to the reference signal resource corresponding to the CSI.

[0125] Therefore, the application provides a communication method and a communication device. The priority of CSI is determined according to one or more of the following: a time domain resource unit of a reference signal resource set used to obtain the CSI, a prediction time unit corresponding to the CSI, prediction probability information or prediction confidence information included in the CSI, signal quality information included in the CSI, or a manner of obtaining the signal quality information included in the CSI. When the size of a CSI report to be transmitted exceeds a set threshold, the terminal device can discard part of the CSI with a lower priority according to the priority of the CSI, so that the network device can obtain the CSI with a higher priority, which is beneficial to subsequent data transmission between the network device and the terminal device. The communication method can be applied to the above-mentioned communication system, for example, an FDD communication scenario. In addition, the communication method can also be used in a TDD communication scenario, which is not limited in the present disclosure.

[0126] Before introducing the scheme of the present application, the following points are explained.

[0127] (1) In the present application, "indication" can include direct indication, indirect indication, display indication, and implicit indication. When describing that certain indication information is used to indicate A, it can be understood that the indication information carries A, directly indicates A, or indirectly indicates A.

[0128] In the present application, the information indicated by the indication information is referred to as the to-be-indicated information. In the specific implementation process, there are many ways to indicate the to-be-indicated information, for example, but not limited to, the to-be-indicated information can be directly indicated, such as the to-be-indicated information itself or the index of the to-be-indicated information. The to-be-indicated information can also be indirectly indicated by indicating other information, where the other information and the to-be-indicated information have an association relationship. The to-be-indicated information can also be indicated only by a part of the to-be-indicated information, and the other part of the to-be-indicated information is known or agreed in advance. For example, the indication of a specific information can also be achieved by means of the arrangement order of each information agreed in advance (for example, a protocol), thereby reducing the indication overhead to a certain extent. In addition, the to-be-indicated information can be sent as a whole, or can be sent separately in multiple sub-information, and the sending period and / or sending time of these sub-information can be the same or different.

[0129] (2) In the present application, "sending" and "receiving" represent the direction of signal transmission. For example, "sending information to XX" can be understood as that the destination of the information is XX, which can include direct sending through the air interface, or indirect sending through the air interface by other units or modules. "Receiving information from YY" can be understood as that the source of the information is YY, which can include direct receiving from YY through the air interface, or indirect receiving from YY through the air interface by other units or modules. "Sending" can also be understood as the "output" of the chip interface, and "receiving" can also be understood as the "input" of the chip interface. In other words, sending and receiving can be carried out between devices, such as between network devices and terminal devices, or can be carried out within a device, such as between components, modules, chips, software modules or hardware modules within a device through a bus, wire or interface.

[0130] (3) In various embodiments of the present application, the terms and / or descriptions of different embodiments are consistent and can be referred to each other if there is no special description and logical conflict, and the technical features in different embodiments can be combined to form new embodiments according to their inherent logical relationship.

[0131] (4) In the present application, "first", "second", and "#1", "#2", etc. are only for convenience of description, used for distinguishing objects, and do not limit the scope of the embodiments of the present application. They are not used to describe the order or sequence of features. It should be understood that the objects thus described can be interchanged under appropriate circumstances, so as to be able to describe schemes other than the embodiments of the present application.

[0132] (5) In the present application, "predefined" can mean standard protocol predefined, or can also mean pre-agreed or pre-negotiated between devices.

[0133] (6) In the present application, the words "exemplarily", "such as" and the like are used to represent examples, illustrations or descriptions. Any embodiment or design scheme described as "example" in the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the word "example" is intended to present the concept in a specific way. In the embodiments of the present application, "of", "corresponding" and "corresponding" can be used interchangeably at times, and it should be pointed out that when the distinction is not emphasized, the meanings expressed are consistent. In addition, "corresponding to" in the present application can also be replaced by "for" or replaced by "determined according to xx" or replaced by "for determining".

[0134] (7) "at least one" in this document means one or more. "Multiple" means two or more. "And / or" describes the relationship between the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent the following three cases: A exists alone, A and B exist together, B exists alone, where A and B can be singular or plural. In the text description of this application, the character " / ", generally represents the "or" relationship between the associated objects; in the formula of this application, the character " / ", represents the "division" relationship between the associated objects. "Including at least one of A, B and C" can mean: including A; including B; including C; including A and B; including A and C; including B and C; including A, B and C.

[0135] (8) The arrows or blocks shown by dashed lines in the schematic diagrams in the drawing part of the specification of this application represent optional steps or optional modules.

[0136] The communication method provided by the embodiments of this application will be described in detail below with reference to the accompanying drawings. The embodiments provided by this application can be applied to the communication system shown in FIG. 3 or FIG. 4, without limitation.

[0137] It should be noted that the first device in the following embodiments can be a terminal device, or a component part of the terminal device, such as a chip or a circuit. The second device in the following embodiments can be a network device, or a component part of the network device, such as a chip or a circuit. Alternatively, the second device in the following embodiments can be an access network node, such as RIC, or CU, or DU, or RU, etc., or the second device can be a component part of the access network node, such as a chip or a circuit.

[0138] It should also be noted that the first device in the following embodiments is different from the second device, for example, the first device is a terminal device, and the second device is a network device.

[0139] FIG. 8 shows a schematic flowchart of the communication method provided by the embodiments of this application. As shown in FIG. 8, the method 800 can include the following steps.

[0140] S810, the first device determines the first CSI and the second CSI.

[0141] Optionally, the first device can determine multiple CSIs, and the multiple CSIs include the first CSI and the second CSI. The following is described by taking the first device determining multiple CSIs as an example.

[0142] Optionally, the multiple CSIs correspond to the first model.

[0143] For example, the multiple CSIs corresponding to the first model means that the CSI in the multiple CSIs is the input or output of the first model.

[0144] For example, the first model is deployed at the first device side (the first model is deployed in the first device, or, the first model is deployed on another device different from the first device, such as a server), each of the plurality of CSIs is an output of the first model, or, part of the plurality of CSIs is an input of the first model or monitoring of the output of the first model, and the rest of the plurality of CSIs is an output of the first model.

[0145] For example, the first model is a classification model for beam management, and the plurality of CSIs can include IDs of top-K beams output by the first model (further, can also include a probability value of each of the top-K beams as the best beam), that is, each of the plurality of CSIs is an output of the first model.

[0146] For another example, the first model is a regression model for beam management, and the plurality of CSIs can include an RSRP corresponding to each beam in set A predicted by the first model, and optionally, can also include a prediction confidence of the RSRP corresponding to each beam predicted by the first model, that is, each of the plurality of CSIs is an output of the first model.

[0147] For example, the first model is a regression model for beam management, and the first model is configured to output the RSRP corresponding to each beam in the set A. Optionally, the first model is also configured to output the predicted confidence of the RSRP corresponding to each beam in the set A. The set A includes the set B, i.e., the output of the first model includes the RSRP corresponding to each beam in the set B (or the predicted confidence of the RSRP corresponding to each beam in the set B). Since the first device obtains the RSRP corresponding to each beam in the set B by measuring at least one reference signal, and the RSRP corresponding to each beam in the set B obtained by the first device by measuring the reference signal is more accurate than the RSRP corresponding to each beam in the set B predicted by the first model, the first device can carry the measured value of the RSRP corresponding to each beam in the set B in the CSI corresponding to each beam in the set B, which can better achieve beam management. That is, the RSRP obtained by inference for a beam is replaced by the RSRP obtained by measurement for the beam. In this case, the plurality of CSIs determined by the first device can include the CSI corresponding to each beam in the set B, and the CSI corresponding to each beam in the set A except the beams in the set B. The CSI corresponding to each beam in the set B includes the measured value of the RSRP corresponding to the beam, and the measured value of the RSRP corresponding to each beam in the set B included in the CSI is actually the input of the first model. The CSI corresponding to each beam in the set A except the beams in the set B includes the predicted value of the RSRP corresponding to the beam, and the predicted value of the RSRP corresponding to each beam in the set A except the beams in the set B is the output of the first model.

[0148] Optionally, the measured value of the RSRP corresponding to each beam in the set B can be obtained by processing the predicted value of the RSRP corresponding to each beam in the set A (for example, one or more of compensation, quantization, normalization, etc.). Alternatively, the predicted value of the RSRP corresponding to each beam in the set A except the beams in the set B can be obtained by processing the real predicted value of the RSRP corresponding to each beam in the set B (for example, one or more of compensation, quantization, normalization, etc.).

[0149] The set A includes all beams associated with the inference task of the beam management by the network device, and the set B is a subset of the set A. For example, the reference signal resource set corresponding to the set B is used to obtain the model input corresponding to the inference task of the beam management. The reference signal resource set corresponding to the set B refers to the reference signal resource set composed of the reference signal resource corresponding to each beam in the set B.

[0150] For example, the first model is deployed at the second device side (the first model is deployed in the second device, or the first model is deployed in another device different from the second device, such as a server), and each CSI in the plurality of CSIs is an input of the first model.

[0151] For example, the first model is a model for beam management, and the plurality of CSIs can include an RSRP corresponding to each beam in set B, and each CSI in the plurality of CSIs is an input of the first model.

[0152] In a possible implementation, different CSIs in the plurality of CSIs correspond to different spatial domain resources. The spatial domain resources can be replaced by beams. For example, the reference signal resource corresponding to the spatial domain resource (or the beam) includes a spatial domain resource, and different CSIs in the plurality of CSIs correspond to different reference signal resources. It can be understood that the first CSI and the second CSI correspond to different spatial domain resources.

[0153] In this application, the prediction value can be a prediction result directly output by the AI model, or a result obtained after data processing of the prediction result directly output by the AI model. One prediction value can be a prediction result directly output by the AI model in one prediction process, or a result obtained after data processing of the prediction result. The AI model can be deployed on a terminal device, or on an OTT device at the terminal device side. When the AI model is deployed on the OTT device, the terminal device can receive the prediction result output by the AI model from the OTT device.

[0154] The information contained in the target CSI is described below. The target CSI is any CSI in the plurality of CSIs. For example, the target CSI is the first CSI or the second CSI.

[0155] The target CSI can include one or more of the following: identification information of the reference signal resource corresponding to the target CSI, signal quality information corresponding to the reference signal resource corresponding to the target CSI, prediction probability information or prediction confidence information corresponding to the reference signal resource corresponding to the target CSI, or monitoring index information corresponding to the reference signal resource corresponding to the target CSI.

[0156] For example, if the first model is deployed at the first device side, the target CSI can include one or more of the following: identification information of the reference signal resource corresponding to the target CSI, signal quality information corresponding to the reference signal resource corresponding to the target CSI, prediction probability information or prediction confidence information corresponding to the reference signal resource corresponding to the target CSI, or monitoring index information corresponding to the reference signal resource corresponding to the target CSI.

[0157] For example, if the first model is deployed at the second device side, the target CSI can include one or more of the following: identification information of the reference signal resource corresponding to the target CSI, or signal quality information corresponding to the reference signal resource corresponding to the target CSI.

[0158] For example, if the CSI#1 includes information related to the reference signal resource#1, such as identification information of the reference signal resource#1, signal quality information corresponding to the reference signal resource#1, prediction probability information or prediction confidence information corresponding to the reference signal resource#1, or monitoring index information corresponding to the reference signal resource#1, it means that the CSI#1 corresponds to the reference signal resource#1.

[0159] The identification information can include one or more of the following: an identifier (ID) of a beam corresponding to the reference signal resource corresponding to the target CSI, an ID of the reference signal resource corresponding to the target CSI, or a sequence number of the reference signal resource corresponding to the target CSI in a reference signal resource set to which the reference signal resource corresponding to the target CSI belongs. For ease of description, the beam corresponding to the reference signal resource corresponding to the target CSI is referred to as the target beam. If the reference signal resource includes time domain resources and / or frequency domain resources, the ID of the reference signal resource can include the ID of the time domain resources and / or the ID of the frequency domain resources included in the reference signal resource, or the ID of the time domain resources and the ID of the frequency domain resources. The reference signal resource can also include space domain resources, and the ID of the reference signal resource can also include the ID of the space domain resources included in the reference signal resource. The ID of the space domain resources included in the reference signal resource can be equivalent to the ID of the beam corresponding to the reference signal resource.

[0160] The signal quality indicated by the signal quality information can include one or more of the following: RSRP, RSRQ, or SINR corresponding to the reference signal resource corresponding to the target CSI. The signal quality information can include signal quality, or a quantized value of the signal quality, or a relative value of the signal quality, such as a differential value or a ratio value. For example, the signal quality corresponding to the reference signal resource corresponding to the CSI#1 in the plurality of CSIs is the largest, and the signal quality information included in the CSI#1 can include the signal quality corresponding to the reference signal resource corresponding to the CSI#1. The signal quality information included in the CSI#2 in the plurality of CSIs can include a difference value or a ratio value between the signal quality corresponding to the reference signal resource corresponding to the CSI#1 and the signal quality corresponding to the reference signal resource corresponding to the CSI#2.

[0161] The signal quality indicated by the signal quality information can be a predicted value obtained by measuring the reference signal resource set used to obtain the target CSI, or a predicted value obtained by the first model, and the input parameter of the first model is obtained by measuring the reference signal resource set used to obtain the target CSI.

[0162] The reference signal resource set used to obtain the target CSI includes the reference signal resource corresponding to the target CSI, or the reference signal resource set used to obtain the target CSI does not include the reference signal resource corresponding to the target CSI. That is, if the reference signal resource set used to obtain the target CSI does not include the reference signal resource corresponding to the target CSI, the first device cannot obtain the measurement value of the signal quality corresponding to the reference signal resource corresponding to the target CSI in the measurement process, and therefore the signal quality indicated by the signal quality information carried in the target CSI is the predicted signal quality obtained by the first model. The input parameter of the first model is obtained by measuring the reference signal resource set used to obtain the target CSI.

[0163] If the reference signal resource set used to obtain the target CSI includes the reference signal resource corresponding to the target CSI, the first device can obtain the measurement value of the signal quality corresponding to the reference signal resource corresponding to the target CSI in the measurement process. Further, the signal quality indicated by the signal quality information carried in the target CSI can be the measurement value of the signal quality or the predicted signal quality obtained by the first model.

[0164] For example, the reference signal resource set corresponding to set B is used to obtain a plurality of CSIs. Among the plurality of CSIs, the beam corresponding to CSI#1 (an example of the target CSI) belongs to set B, in other words, the reference signal resource set corresponding to set B includes the reference signal resource corresponding to CSI#1. The beam corresponding to CSI#2 (another example of the target CSI) in the plurality of CSIs belongs to set A and does not belong to set B, in other words, the reference signal resource set corresponding to set B does not include the reference signal resource corresponding to CSI#2.

[0165] The first device measures the reference signal resource set corresponding to set B to obtain the measurement value of the signal quality of set B, and the measurement value of the signal quality of set B includes the measurement value of the signal quality corresponding to each beam in set B. Further, the first device takes the signal quality of set B as the input of the first model, and the output of the first model is the predicted value of the signal quality of set A, and the predicted value of the signal quality of set A includes the predicted value of the signal quality corresponding to each beam in set A.

[0166] Assuming that beam #1 belongs to set B, beam #2 belongs to set A, and does not belong to set B, the CSI #1 corresponding to beam #1 determined by the first device can include a measurement value and / or a prediction value of the signal quality corresponding to beam #1, and the CSI #1 corresponding to beam #2 includes a prediction value of the signal quality corresponding to beam #2. It can be understood that beam #1 belongs to set B, and the reference signal resource corresponding to beam #1 (or the reference signal resource corresponding to CSI #1) belongs to the reference signal resource set corresponding to set B. Beam #2 does not belong to set B, and the reference signal resource corresponding to beam #2 (or the reference signal resource corresponding to CSI #2) does not belong to the reference signal resource set corresponding to set B.

[0167] The prediction probability information is used to indicate a prediction probability of a prediction result of the target CSI predicted by the first device through the first model. For example, the first model is a model for beam management, and the first model is a classification model, and the prediction probability information is used to indicate a prediction probability of the beam corresponding to the target CSI becoming the optimal beam predicted by the first device through the first model.

[0168] The prediction probability information can include a prediction probability corresponding to the reference signal resource corresponding to the target CSI, or can include a quantized value of the prediction probability corresponding to the reference signal resource corresponding to the target CSI, and can also include a relative value of the prediction probability, such as a differential value or a ratio value. For example, the prediction probability corresponding to the reference signal resource corresponding to CSI #1 in the plurality of CSIs is the largest, and the prediction probability information included by CSI #1 can include the prediction probability corresponding to the reference signal resource corresponding to CSI #1, and the prediction probability information included by CSI #2 in the plurality of CSIs can include a difference value or a ratio value between the prediction probability corresponding to the reference signal resource corresponding to CSI #1 and the prediction probability corresponding to the reference signal resource corresponding to CSI #2.

[0169] The prediction confidence information is used to indicate a prediction confidence of a prediction result of the target CSI predicted by the first device through the first model. For example, the first model is a model for beam management, and the first model is a regression model, and the prediction confidence information is used to indicate a prediction confidence of the signal quality information corresponding to the reference signal resource corresponding to the CSI predicted by the first device through the first model.

[0170] The prediction confidence information can include a prediction confidence corresponding to the reference signal resource corresponding to the target CSI, or can include a quantized value of the prediction confidence corresponding to the reference signal resource corresponding to the target CSI, and can also include a relative value of the prediction confidence, such as a differential value or a ratio value. For example, the prediction confidence corresponding to the reference signal resource corresponding to CSI#1 of the plurality of CSIs is the largest, and the prediction confidence information included in CSI#1 can include the prediction confidence corresponding to the reference signal resource corresponding to CSI#1, and the prediction confidence information included in CSI#2 of the plurality of CSIs can include a differential value or a ratio value between the prediction confidence corresponding to the reference signal resource corresponding to CSI#1 and the prediction confidence corresponding to the reference signal resource corresponding to CSI#2.

[0171] The monitoring index information is used to monitor the first model. The monitoring index information can include one or more of the following: a differential value or a ratio value between the prediction confidence indicated by the prediction confidence information included in the target CSI and a confidence threshold, or a differential value or a ratio value between the signal quality indicated by the signal quality information #1 corresponding to the target CSI and the signal quality indicated by the signal quality information #2 corresponding to the target CSI. The signal quality indicated by the signal quality information #1 is obtained by the first device by measuring the reference signal on the reference signal resource corresponding to the target CSI, and the signal quality indicated by the signal quality information #2 is obtained by the first device by the first model. The monitoring index information can also be referred to as monitoring result information.

[0172] S820, the first device sends the first CSI report.

[0173] Correspondingly, the second device receives the first CSI report.

[0174] For example, if the resource for transmitting the CSI report is sufficient for transmitting the plurality of CSIs, in other words, the resource required for transmitting the plurality of CSIs is less than or equal to the resource for transmitting the CSI report, the first device sends the first CSI report including the plurality of CSIs, for example, including the first CSI and the second CSI.

[0175] For example, if the resource for transmitting the CSI report is insufficient for transmitting the plurality of CSIs, in other words, the resource required for transmitting the plurality of CSIs is greater than the resource for transmitting the CSI report, the first device sends the first CSI report according to the priority order of the plurality of CSIs, and the first CSI report includes one or more of the plurality of CSIs. For example, the first CSI report includes the first CSI and does not include the second CSI. The priority of the first CSI is higher than the priority of the second CSI.

[0176] Specifically, the priority of any CSI included in the first CSI report is higher than or equal to the priority of any CSI not included in the first CSI report among the plurality of CSIs. In other words, if the resource for transmitting the CSI report is insufficient for transmitting the plurality of CSIs, the first device transmits one or more CSIs with higher priority among the plurality of CSIs to the first device according to the priority, i.e., the priority order, of the plurality of CSIs. It should be noted that the resource required for transmitting the first CSI report is less than or equal to the resource for transmitting the CSI report.

[0177] For example, if the number of the plurality of CSIs is N, and the plurality of CSIs are ordered according to the priority from high to low, the number M of CSIs included in the first CSI report satisfies the following condition: wherein r m represents the resource required for transmitting the CSI ranked m among the plurality of CSIs, R represents the resource for transmitting the CSI report, m = 1, 2, …, M, M is a positive integer, and M is less than or equal to N.

[0178] For another example, the first device can group the plurality of CSIs according to a certain ratio and the priority order of the plurality of CSIs, for example, divide the plurality of CSIs into two groups, and the priority of any CSI in the first group is not lower than the priority of any CSI in the second group. Further, in the case where the resource for transmitting the CSI report is insufficient for transmitting the plurality of CSIs, the first device can transmit the first group of CSIs with priority, i.e., the first CSI report includes the first group of CSIs.

[0179] If the codebook of the CSI report is release (R) 15 type II, R16 type II, R17 type II or R18 type II, the above-mentioned first group of CSIs and the second group of CSIs can be respectively analogous to group 1 CSI and group 2 CSI. Or, if the codebook of the CSI report is other than the above-mentioned codebook, the above-mentioned first group of CSIs and the second group of CSIs can be respectively analogous to even subband CSI and odd subband CSI.

[0180] The way in which the first device determines the priority of the target CSI is described below.

[0181] For example, the priority of the target CSI is related to the first information, and the first information includes one or more of the following: a time domain resource unit for obtaining a reference signal resource set of the target CSI, a prediction time unit corresponding to the target CSI, prediction probability information or prediction confidence information included in the target CSI, signal quality information included in the target CSI, or a way of obtaining the signal quality information included in the target CSI.

[0182] The reference signal resource set for obtaining the target CSI includes one or more reference signal resources. The first device can obtain at least one CSI including the target CSI by using the reference signal resource set for obtaining the target CSI.

[0183] As described above, the reference signal resource set for obtaining the target CSI can include or not include the reference signal resource corresponding to the target CSI. For example, the reference signal resource set for obtaining the target CSI can include reference signal resource #1 and reference signal resource #2, and the first device can obtain CSI #1, CSI #2 and CSI #3 according to the reference signal resource set for obtaining the target CSI. The CSI #1 (an example of the target CSI) and the CSI #2 (another example of the target CSI) correspond to the reference signal resource #1 and the reference signal resource #2 respectively, i.e., the reference signal resource set for obtaining the target CSI includes the reference signal resource corresponding to the target CSI. The CSI #3 (another example of the target CSI) corresponds to the reference signal resource #3, i.e., the reference signal resource set for obtaining the target CSI does not include the reference signal resource corresponding to the target CSI. That is, as shown in the right part of FIG. 6, the scanning beams and the top-K candidate beams include partially the same beams.

[0184] For example, if the first device obtains the target CSI by measuring the reference signal resource set for obtaining the target CSI, the time domain resource unit of the reference signal resource set for obtaining the target CSI can be referred to as a measurement time unit corresponding to the target CSI.

[0185] If the signal quality information included in the target CSI is used to indicate the signal quality of the reference signal resource corresponding to the target CSI at a future time unit, for example, the first device predicts the signal quality information included in the target CSI by using a first model, and the signal quality information predicted by the first model is used to indicate the signal quality of the reference signal resource corresponding to the target CSI at a future time unit, the future time unit can be referred to as a predicted time unit corresponding to the target CSI. The predicted time unit corresponding to the target CSI can be a time unit in which the target CSI is applied in the future.

[0186] The prediction probability information included in the target CSI can refer to the description of the prediction probability information corresponding to the reference signal resource corresponding to the target CSI in S810 above.

[0187] The prediction confidence information included in the target CSI can refer to the description of the prediction confidence information corresponding to the reference signal resource corresponding to the target CSI in S810 above.

[0188] The signal quality information included in the target CSI can refer to the description of the signal quality information corresponding to the reference signal resource corresponding to the target CSI in S810 above.

[0189] The signal quality information included in the target CSI can be obtained in one of the following ways: measuring the signal quality information included in the target CSI on the reference signal resource set used to obtain the target CSI, or predicting the signal quality information included in the target CSI on the reference signal resource set used to obtain the target CSI. Wherein, measuring the reference signal on the reference signal resource set used to obtain the target CSI means measuring the reference signal on the reference signal resource set used to obtain the target CSI. The signal quality information included in the target CSI can be replaced by the acquisition method of the signal quality indicated by the signal quality information included in the target CSI.

[0190] It can be understood that for different first information, the first device determines the priority of the target CSI in different ways according to the first information. The different ways of determining the priority of the target CSI by the first device are described below.

[0191] Method 1: The first information includes the signal quality information included in the target CSI, and the first device determines the priority of the target CSI according to the signal quality indicated by the signal quality information included in the target CSI.

[0192] For example, the higher the signal quality indicated by the signal quality information included in the target CSI, the higher the priority of the target CSI. Or, the larger the minimum value (or maximum value) of the signal quality range to which the signal quality indicated by the signal quality information included in the target CSI belongs, the higher the priority of the target CSI.

[0193] For example, the multiple CSIs include a first CSI and a second CSI, and the priority of the first CSI is higher than that of the second CSI, including: the signal quality indicated by the signal quality information included in the first CSI is higher than that indicated by the signal quality information included in the second CSI; or, the signal quality indicated by the signal quality information included in the first CSI belongs to a first signal quality range, the signal quality indicated by the signal quality information included in the second CSI belongs to a second signal quality range, and the minimum value of the first signal quality range is greater than the maximum value of the second signal quality range.

[0194] The signal quality range includes a plurality of continuous signal quality values, for example, the signal quality range #1 is represented as [signal quality value #1, signal quality value #2], and the signal quality range #1 includes all signal quality values greater than or equal to the signal quality value #1 and less than or equal to the signal quality value #2. The signal quality belongs to the signal quality range means that the signal quality is greater than or equal to the minimum value of the signal quality range and less than or equal to the maximum value of the signal quality range.

[0195] In a third manner, the first information includes prediction confidence information included in the target CSI, and the first device determines the priority of the target CSI according to a prediction confidence indicated by the prediction confidence information included in the target CSI.

[0196] For example, the higher the prediction confidence indicated by the prediction confidence information included in the target CSI, the higher the priority of the target CSI. Alternatively, the greater the minimum value (or the maximum value) of a confidence range to which the prediction confidence indicated by the prediction confidence information included in the target CSI belongs, the higher the priority of the target CSI.

[0197] For example, the plurality of CSIs include a first CSI and a second CSI, the priority of the first CSI is higher than the priority of the second CSI, and the first CSI includes prediction confidence information indicating a prediction confidence, and the second CSI includes prediction confidence information indicating a prediction confidence, and the prediction confidence indicated by the prediction confidence information included in the first CSI is greater than the prediction confidence indicated by the prediction confidence information included in the second CSI, or the prediction confidence indicated by the prediction confidence information included in the first CSI belongs to a first confidence range, the prediction confidence indicated by the prediction confidence information included in the second CSI belongs to a second confidence range, and the minimum value of the first confidence range is greater than the maximum value of the second confidence range.

[0198] The probability range includes a plurality of continuous prediction probability values, for example, the probability range #1 is represented as [prediction probability value #1, prediction probability value #2], and the probability range #1 includes all prediction probability values greater than or equal to the prediction probability value #1 and less than or equal to the prediction probability value #2. The prediction probability belongs to the probability range means that the prediction probability is greater than or equal to the minimum value of the probability range and less than or equal to the maximum value of the probability range.

[0199] In a third manner, the first information includes prediction confidence information included in the target CSI, and the first device determines the priority of the target CSI according to a prediction confidence indicated by the prediction confidence information included in the target CSI.

[0200] For example, the higher the prediction confidence indicated by the prediction confidence information included in the target CSI, the higher the priority of the target CSI. Alternatively, the greater the minimum value (or the maximum value) of a confidence range to which the prediction confidence indicated by the prediction confidence information included in the target CSI belongs, the higher the priority of the target CSI.

[0201] For example, the plurality of CSI includes a first CSI and a second CSI, and the priority of the first CSI is higher than the priority of the second CSI, including: the prediction confidence indicated by the prediction confidence information included in the first CSI is greater than the prediction confidence indicated by the prediction confidence information included in the second CSI; or, the prediction confidence indicated by the confidence information included in the first CSI belongs to a first confidence range, the prediction confidence indicated by the prediction confidence information included in the second CSI belongs to a second confidence range, and the minimum value of the first confidence range is greater than the maximum value of the second confidence range.

[0202] The confidence range includes a plurality of continuous prediction confidence values, for example, the confidence range #1 is represented as [prediction confidence value #1, prediction confidence value #2], and the confidence range #1 includes all prediction confidence values greater than or equal to the prediction confidence value #1 and less than or equal to the prediction confidence value #2. The prediction confidence belongs to the confidence range means that the prediction confidence is greater than or equal to the minimum value of the confidence range and less than or equal to the maximum value of the confidence range.

[0203] In mode 4, the first information includes: an acquisition mode of the signal quality information included in the target CSI, and the first device determines the priority of the target CSI according to the acquisition mode of the signal quality information included in the target CSI.

[0204] For example, the signal quality information included in the target CSI is obtained by measuring the reference signal resource set used to obtain the target CSI, and the priority of the target CSI is higher.

[0205] For example, the plurality of CSI includes a first CSI and a second CSI, and the priority of the first CSI is higher than the priority of the second CSI, including: the acquisition mode of the signal quality information included in the first CSI is that the signal quality information included in the first CSI is obtained by measuring the reference signal resource set used to obtain the first CSI; and the acquisition mode of the signal quality information included in the second CSI is that the signal quality information included in the second CSI is obtained by predicting the reference signal resource set used to obtain the second CSI.

[0206] The reference signal resource set used to obtain the first CSI can be the same as or different from the reference signal resource set used to obtain the second CSI. In the case that the reference signal resource set used to obtain the first CSI is different from the reference signal resource set used to obtain the second CSI, the time domain resource unit of the reference signal resource set used to obtain the first CSI is different from the time domain resource unit of the reference signal resource set used to obtain the second CSI.

[0207] Manner 5, the first information comprises: a prediction time unit corresponding to the target CSI, and the first device determines the priority of the target CSI according to the prediction time unit corresponding to the target CSI.

[0208] For example, the earlier the prediction time unit corresponding to the target CSI is, the higher the priority of the target CSI is. Alternatively, the earlier the time unit range to which the prediction time unit corresponding to the target CSI belongs is, the higher the priority of the target CSI is. It can be understood that the earlier the prediction time unit corresponding to the target CSI is, the smaller the interval between the prediction time unit corresponding to the target CSI and an observation time unit is. The observation time unit is a time unit in which the first device measures a reference signal resource set used to obtain the target CSI. For example, the observation time unit is a time unit in which the first device obtains the input of the first model, i.e., the input of the first model obtained by the first device in the observation time unit is used to determine the target CSI.

[0209] For example, the plurality of CSIs comprise a first CSI and a second CSI, the priority of the first CSI is higher than that of the second CSI, and the first CSI corresponds to a prediction time unit earlier than a prediction time unit corresponding to the second CSI, or the first CSI corresponds to a prediction time unit belonging to a first time unit range, the second CSI corresponds to a prediction time unit belonging to a second time unit range, and any time unit in the first time unit range is earlier than any time unit in the second time unit range.

[0210] For example, the time unit range comprises a plurality of continuous time units, e.g., a time unit range #1 is represented as [time unit #1, time unit #2], then the time unit range #1 comprises the time unit #1, the time unit #2 and all time units between the time unit #1 and the time unit #2. The time unit can be one of the following: a slot, a subframe, a frame, an orthogonal frequency division multiplexing (OFDM) symbol, a second (s) or a millisecond (ms), etc.

[0211] Manner 6, the first information comprises: a time domain resource unit of a reference signal resource set used to obtain the target CSI, and the first device determines the priority of the target CSI according to the time domain resource unit of the reference signal resource set used to obtain the target CSI.

[0212] For example, the later the time domain resource unit used to obtain the reference signal resource set of the target CSI, the higher the priority of the target CSI. Alternatively, the later the time domain resource unit range to which the time domain resource unit used to obtain the reference signal resource set of the target CSI belongs, the higher the priority of the target CSI. It can be understood that the later the time domain resource unit used to obtain the reference signal resource set of the target CSI, the smaller the interval between the time domain resource unit used to obtain the reference signal resource set of the target CSI and the time domain resource unit used to send the first CSI report.

[0213] For example, the plurality of CSIs include a first CSI and a second CSI, the priority of the first CSI is higher than the priority of the second CSI, and the method comprises: the time domain resource unit used to obtain the reference signal resource set of the first CSI is later than the time domain resource unit used to obtain the reference signal resource set of the second CSI; or, the time domain resource unit used to obtain the reference signal resource set of the first CSI belongs to a first time domain resource unit range, the time domain resource unit used to obtain the reference signal resource set of the second CSI belongs to a second time domain resource unit range, and any time domain resource unit in the first time domain resource unit range is later than any time domain resource unit in the second time domain resource unit range.

[0214] For example, the time domain resource unit range #1 is represented as [time domain resource unit #1, time domain resource unit #2], the time domain resource unit range #1 includes the time domain resource unit #1, the time domain resource unit #2 and all time units between the time domain resource unit #1 and the time domain resource unit #2. The time domain resource unit can be one of the following: a slot, a subframe, a frame, an orthogonal frequency division multiplexing (OFDM) symbol, a second (s) or a millisecond (ms), etc.

[0215] In mode 7, the first information includes at least two of the following: signal quality information included in the target CSI, prediction confidence information or prediction probability information included in the target CSI, a prediction time unit corresponding to the target CSI, a time domain resource unit used to obtain the reference signal resource set of the target CSI, and an acquisition manner of the signal quality information included in the target CSI, and the first device determines the priority of the target CSI according to one or more of the at least two priority rules.

[0216] For example, the number of items of the priority rule is the same as the number of items of the at least two of the above included in the first information.

[0217] For example, in the process of determining the priority of the target CSI according to the at least two priority rules, the first device first determines the priority of the target CSI according to the priority rule with higher priority, and then determines the priority of the target CSI according to the priority rule with lower priority if the first device fails to determine the priority of the target CSI according to the priority rule with higher priority. Alternatively, in the process of determining the priority of the target CSI according to the at least two priority rules, the priority rule with higher priority has a higher proportion in the at least two priority rules, for example, the priority of the target CSI is equal to the weighted sum of the priorities determined according to the respective priority rules.

[0218] For example, the first information includes the prediction time unit corresponding to the target CSI and the second information, and the second information includes one or more of the prediction probability information or the prediction confidence information included in the target CSI or the signal quality information included in the target CSI. The priority of the target CSI is related to the first information, including that the priority of the target CSI is related to the first priority rule and / or the second priority rule, and the priority of the first priority rule is higher than the priority of the second priority rule. The first priority rule is related to the prediction time unit corresponding to the target CSI, and the second priority rule is related to the second information.

[0219] Optionally, if the second information includes multiple items, the second priority rule can include multiple sub-priority rules. For example, the second information includes the prediction confidence information included in the target CSI and the signal quality information included in the target CSI, and the second priority rule can include sub-priority rule #1 and sub-priority rule #2, and the priority of the sub-priority rule #1 is higher than the priority of the sub-priority rule #2. The sub-priority rule #1 is related to the prediction confidence information included in the target CSI, and the sub-priority rule #2 is related to the signal quality information included in the target CSI.

[0220] For example, the multiple CSI include a first CSI and a second CSI, the first device first determines the priority relationship between the first CSI and the second CSI according to the first priority rule. If the prediction time unit corresponding to the first CSI is different from the prediction time unit corresponding to the second CSI, or the prediction time unit corresponding to the first CSI belongs to a different time unit range from the prediction time unit corresponding to the second CSI, the first device can determine the priority relationship between the first CSI and the second CSI according to the first priority rule in the manner described in the fifth manner. If the prediction time unit corresponding to the first CSI is the same as the prediction time unit corresponding to the second CSI, or the prediction time unit corresponding to the first CSI belongs to the same time unit range as the prediction time unit corresponding to the second CSI, the first device continues to determine the priority relationship between the first CSI and the second CSI based on the second priority rule. For example, the second priority rule is related to the prediction confidence information included in the target CSI, and the first device can determine the priority relationship between the first CSI and the second CSI according to the second priority rule in the manner described in the third manner.

[0221] For another example, the first information includes a time domain resource unit of a reference signal resource set used to obtain the target CSI and signal quality information included in the target CSI. The priority of the target CSI is related to the first information, including that the priority of the target CSI is related to a third priority rule and / or a fourth priority rule, the priority of the third priority rule is higher than the priority of the fourth priority rule. The third priority rule is related to the time domain resource unit of the reference signal resource set used to obtain the target CSI, and the second priority rule is related to the signal quality information included in the target CSI.

[0222] For example, the plurality of CSI includes a first CSI and a second CSI, the first device first determines the priority of the first CSI and the priority of the second CSI according to the third priority rule. If the time domain resource units of the reference signal resource set used to obtain the first CSI are different from the time domain resource units of the reference signal resource set used to obtain the second CSI, or the time domain resource units of the reference signal resource set used to obtain the first CSI belong to different time domain resource unit ranges from the time domain resource units of the reference signal resource set used to obtain the second CSI, the first device can determine the priority of the first CSI and the priority of the second CSI according to the third priority rule in the manner described above in manner 6. If the time domain resource units of the reference signal resource set used to obtain the first CSI are the same as the time domain resource units of the reference signal resource set used to obtain the second CSI, or the time domain resource units of the reference signal resource set used to obtain the first CSI belong to the same time domain resource unit range as the time domain resource units of the reference signal resource set used to obtain the second CSI, the first device continues to determine the priority of the first CSI and the priority of the second CSI based on the fourth priority rule. The first device can determine the priority of the first CSI and the priority of the second CSI according to the fourth priority rule in the manner described above in manner 1.

[0223] For another example, the first information includes: an acquisition manner of signal quality information included in the target CSI and prediction confidence information included in the target CSI. The priority of the target CSI is related to the first information, including: the priority of the target CSI is related to the fifth priority rule and / or the sixth priority rule, and the priority of the fifth priority rule is higher than the priority of the sixth priority rule. The fifth priority rule is related to the acquisition manner of the signal quality information included in the target CSI, and the second priority rule is related to the prediction confidence information included in the target CSI.

[0224] For example, the plurality of CSIs include a first CSI and a second CSI, the first device first determines the priority of the first CSI and the priority of the second CSI according to the fifth priority rule. If the first CSI includes signal quality information obtained in a manner different from the manner in which the second CSI includes signal quality information, the first device can determine the priority of the first CSI and the priority of the second CSI according to the fifth priority rule in the manner described in the fourth manner. If the first CSI includes signal quality information obtained in the same manner as the manner in which the second CSI includes signal quality information, and both the first CSI and the second CSI are obtained by prediction based on a reference signal resource set used to obtain the target CSI, the first device continues to determine the priority of the first CSI and the priority of the second CSI based on the sixth priority rule. The first device can determine the priority of the first CSI and the priority of the second CSI according to the sixth priority rule in the manner described in the third manner.

[0225] It should be noted that the priority order of each priority rule in the seventh manner is only an example, and the present application does not limit the priority order of each priority rule.

[0226] It should be noted that the first to seventh manners of determining the priority of the target CSI are only examples, and the present application does not limit the manner in which the first device determines the priority of the target CSI. For example, based on the same inventive concept, the first device can determine the priority of the target CSI in a manner opposite to any of the first to seventh manners. For example, if the first device determines the priority of the target CSI in a manner opposite to the first manner, the lower the signal quality indicated by the signal quality information included in the target CSI, the higher the priority of the target CSI. Correspondingly, if the first device determines the priority of the target CSI in a manner opposite to the first manner, the priority of any CSI in the first CSI report sent by the first device is not higher than (i.e., lower than or equal to) the priority of any CSI that does not belong to the first CSI report.

[0227] In the embodiments of the present application, the first device can send the first CSI report according to the priority of the CSI, thereby facilitating the first device to send a CSI with a higher priority to the second device, and the CSI with a higher priority is more conducive to subsequent data transmission between the first device and the second device, thereby facilitating improvement of communication quality and / or communication efficiency. For example, if the priority of the CSI is related to the prediction confidence information included in the CSI, the first device can send a CSI with higher prediction confidence to the second device, thereby facilitating the second device to determine more accurate communication parameters required for subsequent data transmission between the first device and the second device according to the CSI with higher prediction confidence.

[0228] The communication method shown in FIG. 8 is described in detail below by taking the first model for beam management as an example. The network device in FIGS. 9-11 is an example of the second device, and the UE is an example of the first device.

[0229] For example, the first model in FIGS. 9 and 10 are both deployed at the UE side. The first model in FIG. 9 corresponds to a beam management scheme 1 (or the first model supports spatial domain prediction), and the first model in FIG. 10 corresponds to a beam management scheme 2 (or the first model supports time domain prediction). The first model in FIG. 11 is deployed at the network device side.

[0230] FIG. 9 shows a schematic flowchart of the communication method provided by the embodiments of the present application. As shown in FIG. 9, the method 900 can include the following steps.

[0231] S901, the UE reports capability information.

[0232] The capability information is used to indicate the type of prediction task supported by the first model deployed at the UE side. For example, if the first model deployed at the UE side supports both spatial domain prediction and time domain prediction, the UE can report the capability information indicating both types of prediction in the capability information.

[0233] Optionally, the UE can also send a request message. The request message is used to indicate that the UE can start to perform the prediction task. In this way, the network device can issue the prediction task supported by the AI model at the UE side based on the request message of the UE.

[0234] S901 is an optional step. For example, when the UE reports the capability information to the network side, the network device saves the capability information of the UE. In the subsequent prediction task based on the first model, the UE does not need to report its own capability information every time. Unless the type of prediction task supported by the UE changes, the UE can indicate the changed capability information to the network device.

[0235] S902, the network device sends a set of reference signal resources.

[0236] The set of reference signal resources is used for the UE to perform measurement on the set of reference signal resources.

[0237] Alternatively, the reference signal resources included in the set of reference signal resources can also be referred to as beams or beam resources. The process of measuring the set of reference signal resources by the UE can also be referred to as beam sweeping.

[0238] S903, the UE performs beam sweeping to obtain a first set of measurement information.

[0239] The first measurement information set is measurement information of a scanning beam obtained by the UE through beam scanning, for example, RSRP. The scanning beam forms a beam set, which can be referred to as set B. The measurement information of the scanning beam can also be referred to as signal quality information of the scanning beam.

[0240] In S904, the UE obtains a plurality of CSIs based on the first model and the first measurement information set.

[0241] For example, if the first model is a classification model, the UE takes the first measurement information set as input of the first model, so that the output of the first model is IDs of top-K beams and a prediction probability that each of the top-K beams is the optimal beam. Then, the UE can determine that the number of the plurality of CSIs is K, and the K CSIs correspond to the top-K beams one by one. Each CSI can include an ID of one of the top-K beams and a prediction probability that the beam is the optimal beam, and different CSIs in the K CSIs include IDs of different beams in the top-K beams.

[0242] For example, if the first model is a regression model, the UE takes the first measurement information set as input of the first model, so that the output of the first model is predicted signal quality information, for example, RSRP, of each beam in set A and a prediction confidence of the signal quality information of each beam in set A. Set A includes all beams associated with one beam management inference task, and set B is a subset of set A. Assuming that set A includes L beams, the UE can determine that the number of the plurality of CSIs is L, and the L CSIs correspond to the L beams in set A one by one. A beam #x corresponding to a CSI #x in the L CSIs belongs to set B, and the CSI #x includes measurement information of the beam #x. A beam #y corresponding to a CSI #y in the L CSIs belongs to set A and does not belong to set B, and the CSI #y includes predicted signal quality information of the beam #y and a prediction confidence of the signal quality information of the beam #y.

[0243] In S905, the UE determines a priority ranking of the plurality of CSIs.

[0244] In a possible implementation, if the plurality of CSIs are the K CSIs described in S904, the UE determines a priority or a priority ranking of the K CSIs according to the prediction probability included in each CSI in the K CSIs, for example, by determining a priority of each CSI to determine the priority ranking of the K CSIs. For example, the greater the prediction probability included in a CSI, the higher the priority of the CSI.

[0245] In a possible implementation, if the plurality of CSI is L CSI, the UE first sets the priority of L1 CSI in the L CSI to the highest, each of the L1 CSI including measurement information. Then, the UE determines the priority of each of L2 CSI in the L CSI according to the prediction confidence of the CSI, to determine the priority ranking of the L CSI. Each of the L2 CSI includes predicted signal quality information. For example, the higher the signal quality indicated by the signal quality information included in the CSI, the higher the priority of the CSI.

[0246] For example, the L CSI includes CSI#x1, CSI#x2, CSI#y1, and CSI#y2, the CSI#x1 includes measurement information of a beam#x1, the CSI#x2 includes measurement information of a beam#x2, the CSI#y1 includes predicted signal quality information of a beam#y1 and prediction confidence of the signal quality information of the beam#y1, and the CSI#y2 includes predicted signal quality information of a beam#y2 and prediction confidence of the signal quality information of the beam#y2. The UE first determines that the priority of the CSI#x1 and the CSI#x2 is higher than the priority of the CSI#y1 and the CSI#y2. Then, if the prediction confidence of the signal quality information of the beam#y1 is higher than the prediction confidence of the signal quality information of the beam#y2, the UE determines that the priority of the CSI#y1 is higher than the priority of the CSI#y2.

[0247] It should be noted that S905 is an optional step. For example, if the method 900 first performs S906, and in S906, the UE determines that the transmission resource is sufficient to transmit the plurality of CSI, the method 900 can not perform S905.

[0248] S906, the UE determines whether to perform dropping due to insufficient transmission resource.

[0249] For example, if the transmission resource is less than the resource required to transmit the plurality of CSI, the UE performs dropping. Then, the method 900 continues to perform S908 and S909. If the transmission resource is greater than or equal to the resource required to transmit the plurality of CSI, the UE does not perform dropping. Then, the method 900 continues to perform S907.

[0250] In the process of dropping part of the plurality of CSI, the UE drops the CSI with a lower priority according to the priority ranking of the plurality of CSI. The UE drops the CSI due to insufficient transmission resource, which is equivalent to the UE reporting the CSI with a higher priority due to insufficient transmission resource.

[0251] S907, the UE reports the plurality of CSI.

[0252] S908, the UE discards the CSI in a descending order of priority until the transmission resource requirement is met.

[0253] That is, the UE discards part of the plurality of CSI in a descending order of priority until the resource required for transmitting the reserved CSI (i.e., the CSI that is not discarded) is less than or equal to the transmission resource.

[0254] S909, the UE reports the reserved CSI in the plurality of CSI.

[0255] In the embodiments of the present application, if the transmission resource is insufficient to transmit all the prediction results (i.e., the plurality of CSI) of the first model, the UE can report the prediction results with higher prediction probability in priority, or report the prediction results with higher prediction confidence in priority. Compared with the method of discarding all the prediction results of the first model, or the method of randomly discarding part of the prediction results of the first model, the present application can more scientifically and efficiently save the air interface overhead, ensure that the prediction results with higher quality are not discarded by mistake, thereby facilitating to provide the communication quality between the UE and the network device.

[0256] FIG. 10 shows a schematic flowchart of a communication method according to an embodiment of the present application. As shown in FIG. 10, the method 1000 can include the following steps.

[0257] S1001, the UE reports capability information.

[0258] More description of S1001 can be referred to S901 in method 900 above.

[0259] S1002, the UE repeatedly performs beam sweeping in N time windows.

[0260] The process of beam sweeping performed by the UE in each time window can be referred to S902 and S903 in method 900 above. N is a positive integer.

[0261] It should be noted that in S1002, the UE can obtain N sets of measurement information, and the N sets of measurement information correspond to the N time windows one by one.

[0262] S1004, the UE obtains a plurality of CSI based on the first model and the N sets of measurement information.

[0263] The UE can take the N sets of measurement information as the input of the first model, so that the output of the first model is the plurality of CSI.

[0264] The plurality of CSI can be divided into T groups of CSI, and the T groups of CSI correspond to T future prediction time units one by one. T is a positive integer.

[0265] The following describes the plurality of CSI by taking the t-th CSI in the T CSI as an example. t is a positive integer, and 1≤t≤T.

[0266] For example, if the first model is a classification model, the UE takes the N sets of measurement information as the input of the first model, so that the output of the first model is the ID of the top-K beams corresponding to each of the T prediction time units and the prediction probability of each of the top-K beams being the optimal beam. Then, the UE can determine that the number of the t-th CSI is K, the K CSI correspond to the top-K beams one-to-one, and each of the K CSI can include the ID of one of the top-K beams and the prediction probability of the beam being the optimal beam. Different CSI in the K CSI include the ID of different beams in the top-K beams.

[0267] For example, if the first model is a regression model, the UE takes the N sets of measurement information as the input of the first model, so that the output of the first model is the signal quality information of set A corresponding to each of the T prediction time units, for example, RSRP, and the prediction confidence of the signal quality information of set A. Set A includes all beams associated with one beam management task, and the signal quality information of set A includes the quality information of each beam in set A. Assuming that the number of beams included in set A is L, the UE can determine that the number of the t-th CSI is L, and the L CSI correspond to the L beams in set A one-to-one. CSI#l in the L CSI includes the signal quality information of beam#l predicted by the first model and the prediction confidence of the signal quality information of beam#l.

[0268] In S1004, the UE determines the priority ranking of the plurality of CSI.

[0269] In a possible implementation, the t-th CSI in the T CSI is the K CSI described in S1003, and the UE determines the priority or the priority ranking of the plurality of CSI according to the prediction probability included in each of the plurality of CSI, for example, by determining the priority of each of the CSI, so as to determine the priority ranking of the plurality of CSI. For example, the higher the prediction probability included in the CSI, the higher the priority of the CSI.

[0270] In a possible implementation, the t-th CSI in the T CSI is the L CSI described in S1003, and the UE determines the priority or the priority ranking of the plurality of CSI according to the prediction confidence included in each of the plurality of CSI, for example, by determining the priority of each of the CSI, so as to determine the priority ranking of the plurality of CSI. For example, the higher the prediction confidence included in the CSI, the higher the priority of the CSI.

[0271] In a possible implementation, the UE determines the priority or priority order of the plurality of CSIs according to the prediction time unit corresponding to each of the plurality of CSIs, for example, by determining the priority of each of the plurality of CSIs, thereby determining the priority order of the plurality of CSIs. For example, the priority of a CSI is higher if the prediction time unit corresponding to the CSI is earlier.

[0272] It can be understood that in this implementation, all CSIs in the t th group of CSIs correspond to the same prediction time unit, and the priorities of different CSIs in the t th group of CSIs are the same.

[0273] Optionally, the t th group of CSIs is the K CSIs described in S1003, and the UE can further determine the priority or priority order of the K CSIs in the t th group of CSIs according to the prediction probability included in each of the K CSIs, for example, by determining the priority of each of the K CSIs, thereby determining the priority order of the K CSIs in the t th group of CSIs. Alternatively, the t th group of CSIs is the L CSIs described in S1003, and the UE determines the priority or priority order of the L CSIs in the t th group of CSIs according to the prediction confidence included in each of the L CSIs, for example, by determining the priority of each of the L CSIs, thereby determining the priority order of the L CSIs in the t th group of CSIs.

[0274] It should be noted that S1004 is an optional step. For example, if the method 1000 first performs S1005, and in S1005, the UE determines that the transmission resource is sufficient to transmit the plurality of CSIs, the method 1000 can not perform S1004.

[0275] S1005, the UE determines whether to perform dropping due to insufficient transmission resource.

[0276] S1005 can refer to S906 in the method 900 described above.

[0277] S1006, the UE reports the plurality of CSIs.

[0278] S1007, the UE discards CSIs in a descending order of priority until the transmission resource requirement is met.

[0279] That is, the UE discards part of the plurality of CSIs in a descending order of priority until the resource required for transmitting the reserved CSIs (i.e., the CSIs that are not discarded) is less than or equal to the transmission resource.

[0280] S1008, the UE reports the reserved CSIs in the plurality of CSIs.

[0281] In the embodiments of the present application, if the transmission resource is insufficient to transmit all the prediction results (i.e., multiple CSIs) of the first model, the UE can report the prediction results with higher prediction probability in priority, or report the prediction results with higher prediction confidence in priority, or report the prediction results of earlier prediction time units in priority, compared with the mode of discarding all the prediction results of the first model, or the mode of randomly discarding part of the prediction results of the first model, the present application can more scientifically and efficiently save the air interface overhead, ensure that the prediction results with higher quality and / or the prediction results with greater impact on all the prediction results are not discarded by mistake, thereby facilitating to provide the communication quality between the UE and the network device.

[0282] FIG. 11 shows a schematic flowchart of a communication method provided by the embodiments of the present application. As shown in FIG. 11, the method 1100 can include the following steps.

[0283] S1101, the network device sends a data collection instruction to the UE.

[0284] The data collection instruction is used to instruct the UE to perform beam scanning and report measurement information obtained by scanning the beams.

[0285] S1101 can be an optional step. For example, the network device pre-configures the UE to perform beam scanning in a specified reference signal resource and / or time period and report the measurement information, and then the method 1100 can not perform S1101.

[0286] S1102, the UE repeatedly performs beam scanning in N time windows.

[0287] The process of the UE performing beam scanning in each time window can refer to S902 and S903 in the above method 900. N is a positive integer.

[0288] It should be noted that in S1002, the UE can obtain N groups of CSIs, and the N groups of CSIs correspond to the N time windows one by one. The nth group of CSIs in the N groups of CSIs includes M CSIs, the M CSIs in the nth group of CSIs correspond to the M scanned beams one by one, each CSI in the nth group of CSIs includes measurement information of one scanned beam in the M scanned beams, and different CSIs in the nth group of CSIs include measurement information of different scanned beams in the M scanned beams. The measurement information can also be referred to as signal quality information. M is a positive integer. n is a positive integer, and 1≤n≤N.

[0289] S1103, the UE determines the priority order of the multiple CSIs.

[0290] For example, the UE determines the priority or priority order of the plurality of CSIs according to the time window corresponding to each of the plurality of CSIs, such as determining the priority of each of the plurality of CSIs, thereby determining the priority order of the plurality of CSIs. For example, the later the time window corresponding to a CSI, the higher the priority of the CSI. The time window corresponding to a CSI can also be referred to as a time domain resource unit of a reference signal resource set used to obtain the CSI.

[0291] It can be understood that in this implementation, all CSIs in the nth group of CSIs correspond to the same time window, and the priorities of different CSIs in the nth group of CSIs are the same.

[0292] Optionally, the UE can also determine the priority or priority order of the M CSIs in the nth group of CSIs according to the measurement information included in each of the M CSIs, such as determining the priority of each of the M CSIs, thereby determining the priority order of the M CSIs in the nth group of CSIs. For example, the higher the signal quality indicated by the measurement information included in a CSI, the higher the priority of the CSI.

[0293] It should be noted that S1103 is an optional step. For example, if the method 1100 first performs S1104, and in S1104, the UE determines that the transmission resource is sufficient to transmit the plurality of CSIs, the method 1100 can not perform S1103.

[0294] In S1104, the UE determines whether to perform dropping due to insufficient transmission resources.

[0295] S1104 can refer to S906 in the method 900 described above.

[0296] In S1105, the UE does not report the plurality of CSIs.

[0297] In S1106, the UE discards CSIs in descending order of priority until the transmission resource requirement is met.

[0298] That is, the UE discards part of the plurality of CSIs in descending order of priority until the resources required for transmitting the reserved CSIs (i.e., the CSIs that are not discarded) are less than or equal to the transmission resources.

[0299] In S1107, the UE reports the reserved CSIs in the plurality of CSIs.

[0300] In the embodiments of the present application, the first model is deployed on the network device side, and the CSI reported by the UE is used for beam management by the network device. For example, the first model is a classification model, and after the network device receives the CSI from the UE, the network device can take the CSI from the UE as the input of the first model, and then obtain the predicted top-K beams through the first model. Optionally, the network device can also obtain the predicted probability that each beam in the top-K beams is the optimal beam. For example, the first model is a regression model, and after the network device receives the CSI from the UE, the network device can take the CSI from the UE as the input of the first model, and then obtain the predicted RSRP of each beam in the set A through the first model. Optionally, the network device can also obtain the predicted confidence of the RSRP of each beam. The set A includes all beams associated with a beam management inference task.

[0301] In the embodiments of the present application, if the transmission resource is insufficient to transmit all the measurement information (i.e., multiple CSIs), the UE can report the measurement information with high priority, thereby facilitating the second device to obtain more accurate prediction results according to the measurement information reported by the first device.

[0302] In the above embodiments, the deployment of the first model on the first device side can be implemented on a chip inside the first device, or can be implemented in a position outside the first device, such as a host or a cloud server of an OTT system.

[0303] If the first model is deployed in a position outside the first device, the following steps in the above embodiments can be performed by the device or equipment deploying the first model: determining the multiple CSIs.

[0304] Taking the first device as an example, the deployment of the first model on the UE side can be implemented on a chip inside the UE, or can be implemented in a position outside the UE, such as a host or a cloud server of an OTT system.

[0305] If the first model on the UE side is deployed in a host or a cloud server of an OTT system, in the method 800 shown in FIG. 8, the method 900 shown in FIG. 9, or the method 1000 shown in FIG. 10, the UE obtains the input of the first model (for example, the RSRP corresponding to each beam in the set B) and sends it to the OTT, and then the OTT obtains the output of the first model (for example, the RSRP corresponding to each beam in the set A or the ID of the top-K beams) according to the input of the first model and the first model, and sends it to the UE. The UE can determine the priority of each CSI of the multiple CSIs, and report one or more CSIs in the multiple CSIs according to the priority of each CSI.

[0306] It should be understood that the size of the serial number of the above processes does not mean the order of execution, and the execution order of the processes should be determined according to its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0307] It should also be understood that in various embodiments of the present application, the terms and / or descriptions of different embodiments are consistent and can be referred to each other if there is no special description and logical conflict, and the technical features in different embodiments can be combined to form new embodiments according to their inherent logical relationship.

[0308] It can be understood that the methods and operations implemented by the devices (such as the first device and the second device) in the above various method embodiments can also be implemented by components (such as chips or circuits) of the devices.

[0309] The above, in combination with FIG. 8 to FIG. 11, details the communication method provided by the embodiments of the present application. The above communication method is mainly introduced from the perspective of the interaction between the first device and the second device. It can be understood that the first device and the second device contain the corresponding hardware structure and / or software module for executing each function in order to realize the above functions.

[0310] It can be understood that in order to realize the functions in the above embodiments, the first device and the second device include the corresponding hardware structure and / or software module for executing each function. Those skilled in the art should easily realize that the units and method steps of each example described in combination with the embodiments disclosed in the present application can be realized in the form of hardware or hardware and computer software combination. Whether a certain function is executed in hardware or computer software driven hardware depends on the specific application scenario and design constraints of the technical solution.

[0311] FIG. 12 and FIG. 13 are schematic block diagrams of communication devices provided by embodiments of the present application. These communication devices can be used to realize the functions of the first device or the second device in the above method embodiments, and thus can also realize the beneficial effects possessed by the above method embodiments.

[0312] FIG. 12 is a schematic block diagram of a communication device 2000 provided by an embodiment of the present application. As shown in FIG. 12, the communication device 2000 includes a transceiver unit (or communication unit) 2020, and optionally, the communication device 2000 also includes a processing unit 2010. The communication device 2000 is used to realize the functions of the first device or the second device in the method embodiments shown in FIG. 8, FIG. 9, FIG. 10 or FIG. 11.

[0313] When the communication apparatus 2000 is used to implement the functions of the first device in the method embodiments shown in FIG. 8, FIG. 9, FIG. 10 or FIG. 11, the processing unit 2010 is configured to determine the first CSI and the second CSI. The transceiver unit 2020 is configured to send the first CSI report, the first CSI report including the first CSI and not including the second CSI, the priority of the first CSI being higher than the priority of the second CSI.

[0314] For more detailed description of the processing unit 2010 and the transceiver unit 2020, please refer to the relevant description in the method embodiments shown in FIG. 8, FIG. 9, FIG. 10 or FIG. 11.

[0315] The apparatus 2000 in each of the above-mentioned schemes has the functions of implementing the corresponding steps performed by the first device in the above-mentioned methods, or the apparatus 2000 in each of the above-mentioned schemes has the functions of implementing the corresponding steps performed by the second device in the above-mentioned methods. The functions can be implemented by hardware or by executing corresponding software by hardware. The hardware or software includes one or more modules corresponding to the above-mentioned functions; for example, the transceiver unit can be replaced by a transceiver (for example, the sending unit in the transceiver unit can be replaced by a transmitter, and the receiving unit in the transceiver unit can be replaced by a receiver), and other units such as the processing unit can be replaced by a processor, which respectively performs the transceiving operations and related processing operations in each method embodiment.

[0316] In addition, the above-mentioned transceiver unit can also be a transceiver circuit (for example, it can include a receiving circuit and a sending circuit), and the processing unit can be a processing circuit. The processing circuit can be one or more processors, or all or part of the circuit in one or more processors for control or processing functions. In the embodiments of the present application, the apparatus in FIG. 12 can be the first device or the second device in the above-mentioned embodiments, or can be a chip or a chip system, for example, a system on chip (SoC). Wherein, the transceiver unit can be an input / output circuit, a communication interface; the processing unit is a processor or a microprocessor integrated on the chip or an integrated circuit. Herein, no limitation is made.

[0317] FIG. 13 is a schematic block diagram of a communication apparatus 3000 provided by the embodiments of the present application. The apparatus 3000 includes a processing circuit. The apparatus can also include a communication circuit. Wherein, the processing circuit and the communication circuit communicate with each other through an internal connection path, and the processing circuit is configured to execute instructions to control the communication circuit to send and / or receive signals.

[0318] In a possible implementation, the apparatus 3000 is configured to implement the procedures and steps corresponding to the first device in the method embodiments described above. In another possible implementation, the apparatus 3000 is configured to implement the procedures and steps corresponding to the second device in the method embodiments described above.

[0319] In a possible implementation, the apparatus 3000 is configured to implement the procedures and steps corresponding to the first device in the method embodiments described above. In another possible implementation, the apparatus 3000 is configured to implement the procedures and steps corresponding to the second device in the method embodiments described above.

[0320] It can be understood that the apparatus 3000 can be specifically the first device or the second device in the above embodiments, and can also be a chip or a chip system. Correspondingly, the communication circuit can be an interface circuit of the chip, or an input / output circuit, which is not limited herein. Specifically, the apparatus 3000 can be configured to perform the procedures and steps corresponding to the first device or the second device in the method embodiments described above.

[0321] When the apparatus 3000 is configured to implement the method shown in FIG. 8, FIG. 9, FIG. 10 or FIG. 11, the processor 3010 is configured to implement the functions of the processing unit 2010 described above, and the transceiver 3020 is configured to implement the functions of the transceiving unit 2020 described above.

[0322] When the apparatus described above is a chip or an OTT device applied to the first device, the chip or the OTT device of the first device implements the functions of the first device in the method embodiments described above, for example, implements the processing functions of the first device. The chip or the OTT device of the first device receives information from the second device, which can be understood as the information being received by other modules (such as radio frequency modules or antennas) in the first device first, and then being transmitted to the chip or the OTT device of the first device by the modules. The chip or the OTT device of the first device transmits information to the second device, which can be understood as the information being transmitted by the chip or the OTT device of the first device to other modules (such as radio frequency modules or antennas) in the first device first, and then being transmitted to the second device by the modules.

[0323] When the communication device is a chip or an OTT device applied to the second device, the chip or the OTT device of the second device implements the functions of the second device in the method embodiments, for example, implements the processing functions of the second device. The chip or the OTT device of the second device receives information from the first device, which can be understood as that the information is first received by other modules (such as a radio frequency module or an antenna) in the second device, and then transmitted to the chip or the OTT device of the second device by the modules. The chip or the OTT device of the second device transmits information to the first device, which can be understood as that the information is first transmitted by the chip or the OTT device of the second device to other modules (such as a radio frequency module or an antenna) in the second device, and then transmitted to the first device by the modules.

[0324] It can be understood that, in order to implement the functions in the above embodiments, the first device and the second device include corresponding hardware structures and / or software modules for performing various functions. Those skilled in the art should easily realize that, in combination with the units and method steps of the examples described in the embodiments disclosed in the present application, the present application can be realized in the form of hardware or a combination of hardware and computer software. Whether a certain function is implemented in hardware or computer software driven hardware depends on the specific application scenarios and design constraints of the technical solutions.

[0325] It can be understood that the processor in the embodiments of the present application can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), image processors, artificial intelligence processors or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. The general-purpose processor can be a microprocessor or any conventional processor.

[0326] The method steps in the embodiments of the present application can be implemented in hardware or in software instructions executable by a processor. The software instructions can be composed of corresponding software modules, which can be stored in a random access memory, a flash memory, a read-only memory, a programmable read-only memory, an erasable programmable read-only memory, an electrically erasable programmable read-only memory, a register, a hard disk, a mobile hard disk, a CD-ROM, or any other form of storage medium well known in the art. An exemplary storage medium is coupled to the processor, so that the processor can read information from and write information to the storage medium. The storage medium can also be an integral part of the processor. The processor and the storage medium can be located in an ASIC. In addition, the ASIC can be located in the first device or the second device. The processor and the storage medium can also exist as discrete components in the first device or the second device.

[0327] In the above embodiments, all or part of the embodiments can be implemented by software, hardware, firmware, or any combination thereof. When implemented by software, all or part of the embodiments can be implemented in the form of a computer program product. The computer program product includes one or more computer programs or instructions. When the computer programs or instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments are performed. The computer can be a general-purpose computer, a special-purpose computer, a computer network, a network device, a user equipment, or other programmable apparatus. The computer programs or instructions can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another computer-readable storage medium, for example, the computer programs or instructions can be transferred from one website, computer, server, or data center to another website, computer, server, or data center through a wired or wireless manner. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that integrates one or more available media. The available medium can be a magnetic medium, such as a floppy disk, a hard disk, a magnetic tape; an optical medium, such as a digital video disc; or a semiconductor medium, such as a solid-state disk. The computer-readable storage medium can be a volatile or non-volatile storage medium, or can include both volatile and non-volatile storage media.

[0328] In the above various embodiments, the terms and / or descriptions of different embodiments are consistent and can be mutually referred to if there is no special description and no logical conflict. The technical features in different embodiments can be combined to form new embodiments according to their inherent logical relationship.

[0329] Those skilled in the art can clearly understand that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0330] Those skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working processes of the above-described system, device and unit can refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

[0331] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the above-described device embodiments are only schematic, for example, the division of the units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or other forms.

[0332] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0333] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically independently, or two or more units can be integrated into one unit.

[0334] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the parts that contribute to the prior art or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0335] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

A communication method characterized by comprising: Comprising: determining first channel state information, CSI, and second CSI; sending a first CSI report, the first CSI report comprising the first CSI and not comprising the second CSI; wherein a priority of the first CSI is higher than a priority of the second CSI; a priority of a target CSI is related to first information, the first information comprising one or more of: a time domain resource unit of a reference signal resource set used to obtain the target CSI, a prediction time unit corresponding to the target CSI, prediction probability information or prediction confidence information included in the target CSI, signal quality information included in the target CSI, or a way of obtaining the signal quality information included in the target CSI; the way of obtaining comprising measuring the signal quality information included in the target CSI with respect to the reference signal resource set used to obtain the target CSI, or predicting the signal quality information included in the target CSI with respect to the reference signal resource set used to obtain the target CSI; the target CSI comprising the first CSI or the second CSI, the reference signal resource set comprising one or more reference signal resources. The method of claim 1, wherein the first information comprising signal quality information included in the target CSI; the priority of the first CSI being higher than the priority of the second CSI comprises: a signal quality indicated by the signal quality information included in the first CSI is higher than a signal quality indicated by the signal quality information included in the second CSI; or, a signal quality indicated by the signal quality information included in the first CSI belongs to a first signal quality range, a signal quality indicated by the signal quality information included in the second CSI belongs to a second signal quality range, and a minimum value of the first signal quality range is greater than a maximum value of the second signal quality range. The method of claim 1, wherein the first information comprising prediction probability information included in the target CSI; the priority of the first CSI being higher than the priority of the second CSI comprises: a prediction probability indicated by the prediction probability information included in the first CSI is greater than a prediction probability indicated by the prediction probability information included in the second CSI; or, a prediction probability indicated by the prediction probability information included in the first CSI belongs to a first probability range, a prediction probability indicated by the prediction probability information included in the second CSI belongs to a second probability range, and a minimum value of the first probability range is greater than a maximum value of the second probability range. The method of claim 1, wherein the first information comprising prediction confidence information included in the target CSI; the priority of the first CSI being higher than the priority of the second CSI comprises: a prediction confidence indicated by the prediction confidence information included in the first CSI is greater than a prediction confidence indicated by the prediction confidence information included in the second CSI; or, a prediction confidence indicated by the prediction confidence information included in the first CSI belongs to a first confidence range, a prediction confidence indicated by the prediction confidence information included in the second CSI belongs to a second confidence range, and a minimum value of the first confidence range is greater than a maximum value of the second confidence range. The method of claim 1, wherein The first information comprises: an acquisition manner of signal quality information included in the target CSI; The priority of the first CSI is higher than the priority of the second CSI, comprising: The acquisition manner of signal quality information included in the first CSI is measuring the signal quality information included in the first CSI on a reference signal resource set used for obtaining the first CSI, and the acquisition manner of signal quality information included in the second CSI is predicting the signal quality information included in the second CSI on a reference signal resource set used for obtaining the second CSI. The method of claim 1, wherein The first information comprises: a prediction time unit corresponding to the target CSI; The priority of the first CSI is higher than the priority of the second CSI, comprising: The prediction time unit corresponding to the first CSI is earlier than the prediction time unit corresponding to the second CSI; or, The prediction time unit corresponding to the first CSI belongs to a first time unit range, the prediction time unit corresponding to the second CSI belongs to a second time unit range, and any time unit in the first time unit range is earlier than any time unit in the second time unit range. The method of claim 1, wherein The first information comprises: a time domain resource unit of a resource set used for obtaining the target CSI; The priority of the first CSI is higher than the priority of the second CSI, comprising: The time domain resource unit of the reference signal resource set used for obtaining the first CSI is later than the time domain resource unit of the reference signal resource set used for obtaining the second CSI; or, The time domain resource unit of the reference signal resource set used for obtaining the first CSI belongs to a first time domain resource unit range, the time domain resource unit of the reference signal resource set used for obtaining the second CSI belongs to a second time domain resource unit range, and any time domain resource unit in the first time domain resource unit range is later than any time domain resource unit in the second time domain resource unit range. The method of claim 1, wherein The first information comprises: a prediction time unit corresponding to the target CSI and second information; the second information comprises one or more of: prediction probability information or prediction confidence information included in the target CSI, or signal quality information included in the target CSI; The priority of the target CSI is related to the first information, comprising: The priority of the target CSI is related to a first priority rule and / or a second priority rule, the priority of the first priority rule is higher than the priority of the second priority rule, the first priority rule is related to a prediction time unit corresponding to the target CSI, and the second priority rule is related to the second information. The method of claim 1, wherein The first information comprises: a time domain resource unit of a reference signal resource set used for obtaining the target CSI and signal quality information included in the target CSI; The priority of the target CSI is related to the first information, comprising: The priority of the target CSI is related to a third priority rule and / or a fourth priority rule, a priority of the third priority rule is higher than a priority of the fourth priority rule, the third priority rule is related to a time domain resource unit of a reference signal resource set used for obtaining the target CSI, and the fourth priority rule is related to signal quality information included in the target CSI. The method according to any one of claims 1 to 9, characterized in that The target CSI includes one or more of the following: identification information of a reference signal resource corresponding to the target CSI; signal quality information corresponding to the reference signal resource corresponding to the target CSI; prediction probability information or prediction confidence information corresponding to the reference signal resource corresponding to the target CSI; or monitoring index information corresponding to the reference signal resource corresponding to the target CSI. The method according to any one of claims 1 to 10, characterized in that The first CSI and the second CSI correspond to different spatial domain resources. A communication device characterized by comprising: The apparatus includes a module or unit for performing the method of any one of claims 1-11. A communication device, characterized by The apparatus includes a processor for executing computer programs or instructions to cause the method of any one of claims 1-11 to be performed. The communication apparatus according to claim 13, characterized in that The communication device further includes a memory. A computer-readable storage medium, characterized by The computer-readable storage medium stores program code for execution by an apparatus, the program code for performing the method of any one of claims 1-11. A computer program product, characterized in that The computer program product includes instructions which, when the computer program product is executed on a computer, cause the computer to carry out the method of any one of claims 1-11. A chip characterized by The apparatus includes a processor and a communication interface, the processor reading instructions on the memory through the communication interface to perform the method of any one of claims 1-11.

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