Beam measurement method, user equipment and base station

Abstract

This application discloses a beam measurement method, a user equipment, a base station, a storage medium, and a program product. The beam measurement method, executed by a second communication device, includes the steps of transmitting beam recommendation indication information to a first communication device so that the first communication device determines a target test beam constituting a target reference signal resource according to the beam recommendation indication information, receiving the target test beam transmitted from the first communication device, predicting an optimal beam result according to the target reference signal resource, and transmitting optimal beam report indication information corresponding to the optimal beam result to the first communication device.

Description

[Technical Field]

[0001] [CROSS-REFERENCE TO RELATED APPLICATIONS] This application is based on and claims priority from a Chinese patent application bearing application number 202210961436.1 and filed on August 11, 2022, the entire contents of which are incorporated herein by reference. [Technical field] The present application relates to the field of communications technology, and in particular to a beam measurement method, a user equipment, a base station, a computer storage medium and a computer program product. [Background technology]

[0002] Currently, in beam management methods based on artificial intelligence (AI), a base station only needs to transmit reference signals in a portion of the beam space, and uses an AI model to predict full beam space information and optimal beam pairs. Specifically, the deployed AI model uses measurement results from a portion of the sampled beams as model inputs to infer desired beam measurement results. However, in conventional protocols, the beams on the base station and user equipment (UE) sides are both realized based on dual transparency. That is, the beams transmitted from the base station are unknown to the UE side. That is, it is not known whether the base station is transmitting a beam that requires measurement by the UE side. Therefore, the UE side cannot ensure that the AI model can perform good predictions according to the corresponding beams, which is disadvantageous to improving the beam measurement accuracy of the UE side AI model. Summary of the Invention [Problem to be solved by the invention]

[0003] The following is a summary of the subject matter described in detail herein, which is not intended to limit the scope of protection of the claims.

[0004] Embodiments of the present application provide a beam measurement method, a user equipment, a base station, a computer storage medium, and a computer program product that can reduce beam training overhead and improve beam measurement accuracy. [Means for solving the problem]

[0005] In a first aspect, the present embodiment comprises: Sending beam recommendation indication information to a first communication device, so that the first communication device determines a target test beam constituting a target reference signal resource according to the beam recommendation indication information; receiving the target test beam transmitted from the first communication device; A beam measurement method is provided, which includes a step of predicting an optimal beam result according to the target reference signal resource and sending optimal beam report indication information corresponding to the optimal beam result to the first communication device.

[0006] In a second aspect, the present embodiment comprises: receiving beam recommendation indication information transmitted from a second communication device; determining a target test beam constituting a target reference signal resource according to the beam recommendation indication information; transmitting the target test beam to the second communication device, so that the second communication device predicts an optimal beam result according to the target reference signal resource; receiving optimal beam report indication information transmitted from the second communication device, the optimal beam report indication information corresponding to the optimal beam result; There is further provided a beam measurement method comprising:

[0007] In a third aspect, the present embodiment comprises: determining a target test beam including beam designation information, the beam designation information being used to indicate position information of the target test beam in beam space; transmitting the target test beam to a second communication device, so that the second communication device predicts an optimal beam result according to the beam indication information; receiving optimal beam report indication information transmitted from the second communication device, the optimal beam report indication information corresponding to the optimal beam result; There is further provided a beam measurement method comprising:

[0008] In a fourth aspect, the present embodiment comprises: receiving a target test beam transmitted from a first communication device, the target test beam being determined by the first communication device and including beam designation information, the beam designation information being used to indicate position information of the target test beam in beam space; The present invention further provides a beam measurement method including the steps of predicting an optimal beam result according to the beam instruction information and transmitting optimal beam report instruction information corresponding to the optimal beam result to the first communication device.

[0009] In a fifth aspect, an embodiment of the present application further provides a user device comprising at least one processor and at least one memory for storing at least one program, wherein the at least one program, when executed by the at least one processor, realizes the beam measurement method described in the first and fourth aspects.

[0010] In a sixth aspect, an embodiment of the present application further provides a base station comprising at least one processor and at least one memory for storing at least one program, wherein the at least one program, when executed by the at least one processor, realizes the beam measurement method described in the second and third aspects.

[0011] In a seventh aspect, embodiments of the present application further provide a computer-readable storage medium storing a processor-executable program for, when executed by a processor, implementing the beam measurement method described above.

[0012] In an eighth aspect, an embodiment of the present application further provides a computer program product including a computer program or computer instructions stored on a computer-readable storage medium, wherein a processor of a computing device reads the computer program or the computer instructions from the computer-readable storage medium, and the processor executes the computer program or the computer instructions such that the computing device performs the beam measurement method described above. [Effects of the Invention]

[0013] In an embodiment of the present application, by sending beam recommendation instruction information to a first communication device, the first communication device only needs to configure reference signal resources for the recommended transmission beam corresponding to the beam recommendation instruction information, that is, only needs to configure reference signal resources for the desired target test beam and transmit the target test beam, which is advantageous for reducing the beam training overhead on the first communication device side. In addition, in such a situation, the desired target test beam transmitted from the first communication device can be received stably and reliably, so that beam model measurement can be performed according to the target test beam to obtain optimal beam results, which is advantageous for improving beam measurement accuracy and can fill the technical gap in related methods. [Brief explanation of the drawings]

[0014] [Figure 1] 1 is a schematic diagram of an implementation environment for performing a beam metrology method, according to one embodiment of the present application; [Figure 2] 1 is a flowchart of a beam measurement method according to an embodiment of the present application. [Figure 3] 1 is a schematic diagram of a scene in which beam recommendation instruction information is transmitted in a beam measurement method according to an embodiment of the present application; [Figure 4] 1 is a schematic diagram of a scene in which reporting instruction information for a first beam is transmitted in a beam measurement method according to one embodiment of the present application. [Figure 5] FIG. 10 is a schematic diagram of a scene in which reporting instruction information for a first beam is transmitted in a beam measurement method according to another embodiment of the present application. [Figure 6] 10 is a flowchart illustrating a step of transmitting optimal beam report instruction information in a beam measurement method according to an embodiment of the present application. [Figure 7] 1 is a flowchart of a beam measurement method according to another embodiment of the present application. [Figure 8] 1 is a flowchart illustrating a step of determining a target test beam according to beam recommendation instruction information in a beam measurement method according to an embodiment of the present application. [Figure 9] 10 is a flowchart illustrating a step of determining a target test beam according to beam recommendation instruction information in a beam measurement method according to another embodiment of the present application. [Figure 10] 1 is a schematic diagram of an application scenario of beam indication information in a beam measurement method according to an embodiment of the present application; [Figure 11] 1 is a flowchart of a beam measurement method according to another embodiment of the present application. [Figure 12] 1 is a flowchart illustrating a step of determining a target test beam in a beam measurement method according to an embodiment of the present application. [Figure 13] 1 is a flowchart of a beam measurement method according to another embodiment of the present application. [Figure 14]10 is a flowchart before transmitting beam recommendation indication information to a first communication device in a beam measurement method according to one embodiment of the present application. [Figure 15] 1 is a schematic diagram of a user device according to an embodiment of the present application; [Figure 16] 1 is a schematic diagram of a base station according to an embodiment of the present application; DETAILED DESCRIPTION OF THE INVENTION

[0015] In order to clarify the purpose, technical aspects and advantages of the present application, the present application will be described in more detail below with reference to the drawings and examples. It should be understood that the specific examples described herein are only for the purpose of interpreting the present application, and are not intended to limit the present application.

[0016] It should be noted that although a logical order is depicted in the flowcharts, in some cases the steps shown or described may be performed out of the order depicted in the flowcharts. The terms "first," "second," etc. in the specification and claims and in the above-mentioned drawings are intended to distinguish between similar objects and are not intended to describe a particular order or priority.

[0017] Currently, advanced artificial intelligence algorithms such as deep learning can be used to extract spatial correlation of wireless channels, and further directly infer the quality information of all beams from the quality information of a small number of beams, thereby predicting the optimal beam, thereby significantly reducing the overhead of beam training and measurement. However, in existing standard protocols, the base station beam and the terminal beam are both based on a dual-transparent design, and when an artificial intelligence model is deployed on the terminal side, issues such as how the base station performs resource configuration and beam scanning with low overhead, and how the terminal performs beam measurement and reporting, all need to be resolved as soon as possible.

[0018] Based on this, the present application provides a beam measurement method, a user equipment, a base station, a computer storage medium, and a computer program product. The beam measurement method of one embodiment includes the steps of: transmitting beam recommendation indication information to a first communication device so that the first communication device determines a target test beam constituting a target reference signal resource according to the beam recommendation indication information; receiving the target test beam transmitted from the first communication device; predicting an optimal beam result according to the target reference signal resource; and transmitting optimal beam report indication information corresponding to the optimal beam result to the first communication device. In this embodiment, by sending beam recommendation instruction information to the first communication device, the first communication device only needs to configure reference signal resources for the recommended transmission beam corresponding to the beam recommendation instruction information, that is, only needs to configure reference signal resources for the desired target test beam and transmit the target test beam, which is advantageous for reducing the beam training overhead on the first communication device side. In addition, in such a situation, the desired target test beam transmitted from the first communication device can be received stably and reliably, so that beam model measurement can be performed according to the target test beam to obtain optimal beam results, which is advantageous for improving beam measurement accuracy and can fill the technical gap in related methods.

[0019] Hereinafter, the present invention will be further described with reference to the accompanying drawings. As shown in FIG. 1, FIG. 1 is a schematic diagram of an implementation environment for performing a beam metrology method according to one embodiment of the present application.

[0020] In the example of FIG. 1, the implementation environment includes a user device 110 and a base station 120, between which wireless signals can be transmitted and received.

[0021] It should be noted that the relative positions of the base station 120 and the user equipment 110 can be set according to specific application scenarios, for example, the user equipment 110 can move along the radiation sphere formed when the base station 120 radiates a signal to the outside, that is, when there are multiple user equipments 110 and different user equipments 110 are set as described above, they can receive the wireless signal transmitted from the base station 120 at different spatial positions, and the spatial positions here may be different regional conditions.

[0022] In one embodiment, user equipment 110 may be referred to as an access terminal, user equipment (UE), subscriber unit, subscriber station, mobile station, mobile unit, remote station, remote terminal, mobile device, user terminal, wireless communication device, user agent, or user device. For example, user equipment 110 may be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA), a handheld device with wireless communication capabilities, a computing device or other processing device connected to a wireless modem, an in-vehicle device, a wearable device, a terminal device in a 5G network or a future 5G or higher network, etc., but this embodiment is not specifically limited thereto.

[0023] In one embodiment, an implementation environment for performing the beam measurement method may be applied to the organizational architecture of the 3rd Generation Partnership Project (3GPP), which has formulated a series of beam management procedures, including beam scanning, beam measurement, beam reporting, and beam instruction, for adjusting beam directions in high frequency bands and maintaining appropriate transmit / receive beam pairs. For example, in the transmit beam scanning process, the base station 120 transmits beams at a set of predefined intervals and directions, the user equipment 110 measures reference signal resources carried in the transmit beams and reports beam quality information to the base station 120, and finally, the base station 120 determines an optimal beam and establishes a directional communication link. Specifically, the base station configures one or more reference signal resource configurations for each user equipment 110 in a channel state information instance CSI-ResourceConfig and configures one or more CSI reporting configurations for each user equipment 110 in an upper layer parameter CSI-ReportConfig. The CSI-ResourceConfig configures reference signal resources used for channel measurement or interference measurement, including a channel state information reference signal (CSI-Reference Symbol, CSI-RS) resource used for channel measurement, a synchronization signal and PBCH block (SSB) resource, and a CSI-IM resource used for interference measurement. The CSI-ReportConfig configures parameters related to CSI reporting, including a codebook type, a frequency domain reporting granularity, a measurement restriction configuration, and a CSI-related feedback amount, such as a layer indicator, a CSI-RS resource indicator (CRI), an SSB resource indicator (SSBRI), a physical layer reference signal received power (L1-RSRP), and a physical layer signal to interference plus noise ratio (L1-SINR).NR completes reporting of beam-related information within the framework of CSI feedback using L1-RSRP as a reporting parameter for beam measurement. In beam measurement, the CSI feedback quantity parameter reportQuantity in the CSI reporting configuration is configured as "CRI-RSRP" or "SSB-Index-RSRP." In this case, the user equipment 110 needs to report the reference signal resource index CRI / SSBRI and the reference signal received power RSRP, where CRI / SSBRI represents the index in the resource set of the CSI-RS resource selected by the user equipment 110, and RSRP represents the quality information of the measured beam. Note that the number of measurement reference signal resources and the number of RSRPs that can be reported in one reporting configuration specifically depends on the capability of the user equipment 110, or may be selectively adjusted and configured according to actual application scenarios.

[0024] It should be noted that the beams in this application are for convenience of explanation only and should not be considered as limiting in any way.

[0025] The transmit beam in this application is used to indicate a transmission scheme, and the transmission scheme parameters are: a transmit beam; A transmitting antenna; a transmitting sector; Transmitter precoding and Antenna ports; an antenna weight vector; an antenna weight matrix; a transmission method corresponding to the space division multiplexing method; a transmission method that supports frequency domain diversity transmission; a transmission method that supports time domain diversity transmission; a transmission sequence; The number of layers being transmitted, and A transmission mode; a modulation coding scheme; A reference signal; and transmit filtering.

[0026] In this patent, the term "receiving beam" is used to indicate a receiving scheme, and the receiving scheme parameters are: a receive beam; A receiving antenna; a receiving antenna panel; a receiving sector; and receive filtering.

[0027] The user equipment 110 has at least functions such as sending beam recommendation indication information to the base station 120 so that the base station 120 determines a target test beam according to the beam recommendation indication information, receiving a target test beam sent from the base station 120, predicting an optimal beam result according to a target reference signal resource, and sending optimal beam report indication information to the base station 120. The target test beam is configured by the target reference signal resource, and the optimal beam report indication information corresponds to the optimal beam result.

[0028] The user equipment 110 further has at least the functions of receiving a target test beam transmitted from the base station 120, predicting an optimal beam result according to beam indication information included in the target test beam, and transmitting optimal beam report indication information to the base station 120. The target test beam is determined by the base station 120, the beam indication information is used to indicate the position information of the target test beam in the beam space, and the optimal beam report indication information corresponds to the optimal beam result.

[0029] The base station 120 has at least the function of performing beam management based on preset operating logic or under the control of an operator. For example, the base station 120 has at least the function of predicting and managing an optimal beam result, i.e., the base station 120 can determine a target test beam based on preset operating logic or under the control of an operator, transmit the target test beam to the user equipment 110, and allow the user equipment 110 to predict an optimal beam result according to beam indication information included in the target test beam, and receive optimal beam report indication information transmitted from the user equipment 110. Alternatively, the base station 120 can receive beam recommendation indication information transmitted from the user equipment 110 based on preset operating logic or under the control of an operator, determine a target test beam based on the beam recommendation indication information, transmit the target test beam to the user equipment 110, and allow the user equipment 110 to predict an optimal beam result according to a target reference signal resource, and receive optimal beam report indication information transmitted from the user equipment 110. The target test beam is configured with a target reference signal resource, the beam instruction information is used to indicate the position information of the target test beam in beam space, and the optimal beam report instruction information corresponds to the optimal beam result. Note that the base station 120 may be a general mobile communication base station or a millimeter-wave AAS base station, but is not specifically limited here.

[0030] It should be noted that the above-mentioned functions possessed by the base station 120 and the user equipment 110 can be applied to different application scenarios, which are not limited here.

[0031] Those skilled in the art will understand that this implementation environment can be applied to 5G, 6G communication network systems and subsequent evolved mobile communication network systems, but this embodiment does not specifically limit this.

[0032] Those skilled in the art will appreciate that the implementation environment shown in FIG. 1 is not intended to limit the scope of the present application and may include more or fewer assemblies than those shown, or may combine some assemblies, or may be configured using different assemblies.

[0033] Below, various embodiments of the beam measurement method of the present invention will be proposed based on the above-mentioned implementation environment. As shown in Fig. 2, Fig. 2 is a flowchart of a beam measurement method according to an embodiment of the present application, which may be applied to a second communication device such as, but not limited to, the user equipment 110 in the embodiment shown in Fig. 1. The beam measurement method may include, but is not limited to, steps S110 to S130.

[0034] In step S110, beam recommendation indication information is sent to the first communication device, so that the first communication device determines a target test beam constituting a target reference signal resource according to the beam recommendation indication information.

[0035] It should be noted that the second communication device in this embodiment may be, but is not limited to, the user equipment 110 in the embodiment shown in FIG. 1, and the first communication device in this embodiment may be, but is not limited to, the base station 120 in the embodiment shown in FIG. 1. Alternatively, those skilled in the art can select and configure a corresponding first communication device or second communication device according to an actual application scenario, but this embodiment is not limited thereto. To more easily explain the application scenarios and principles of the present application, in the following relevant embodiments, the user equipment will be described as the second communication device and the base station will be described as the first communication device, but this should not be construed as limiting the embodiments of the present application.

[0036] In this step, compared to the related method of comprehensively scanning all beams in the codebook, by sending beam recommendation indication information to the base station, the base station only needs to configure reference signal resources for the recommended transmission beam corresponding to the beam recommendation indication information, i.e., only needs to configure reference signal resources for the desired target test beam and transmit the target test beam, which is advantageous in reducing beam training overhead on the base station side.

[0037] In one embodiment, the beam recommendation indication information is Indication information for recommending a reference signal resource index for the target test beam; instruction information for recommending a sampling interval for the target test beam; instructional information for recommending a number of target test beams; Indication information for indicating an index of at least one first test beam group including a plurality of target test beams; instruction information for recommending a beam angle for the target test beam; instruction information for recommending a beam direction for the target test beam; instruction information for recommending a beam width for the target test beam; instruction information for recommending a beam type for the target test beam; Indication information for recommending an angle of arrival or angle of reception of a transmission channel in which the target test beam is located; instruction information for the first communication device to recommend transmission of a relative angle of the target test beam; and instruction information for recommending a relative angle of the target test beam.

[0038] The reference signal resource corresponding to the reference signal resource index of the target test beam may be, but is not limited to, a channel state information reference signal resource or a synchronization signal resource. The specific number of target test beams in the first test beam group can be set according to specific application scenarios, but is not limited here. Different target test beams may be located on different transmission channels, that is, the arrival angle or reception angle of the transmission channel on which the target test beam is located needs to be specifically analyzed, but the specific value is not limited here. In addition, specific application scenarios of each beam recommendation indication information will be described step by step in the following embodiments, but the description will be omitted here.

[0039] In one embodiment, the specific method by which the base station determines the target test beam according to the beam recommendation indication information can be selected and set according to the actual scene, but is not limited thereto.

[0040] In order to better explain the operating principles of the above-described embodiments, several specific examples will be given below.

[0041] (Example 1) For example, a UE may report indication information for recommending reference signal resource indexes for a target test beam. Depending on the specific characteristics of the deployed AI model, the UE may report multiple reference signal resource indexes representing the locations of the sampling beams or wide beams recommended by the UE. The base station may then configure reference signal resources only at these beam locations. Taking FIG. 3 as an example, each circle corresponds to a reference signal resource index or a measurement beam, with blank circles representing transmitted beams and textured circles representing untransmitted beams. Terminal A uses the beam measurement results corresponding to reference signal resource indexes 1, 6, 11, and 16 as model inputs to infer beam quality information for other beam locations. Terminal A reports reference signal resource indexes 1, 6, 11, and 16 to indicate to the base station that it should transmit beams only at these locations. Similarly, terminal B reports reference signal resource indexes 1, 3, 6, 8, 9, 11, 14, and 16.

[0042] (Example 2) For example, if the UE reports a beam sampling interval that conforms to the deployed AI model, the base station can then transmit beams only at these sampling intervals and configure reference signal resources. For example, in Figure 3, the beam sampling interval reported by terminal A is 4, and the beam sampling interval reported by terminal B is 2.

[0043] (Example 3) According to the specific characteristics of the deployed AI model, the UE reports the number of matched input and / or output beams, i.e., reports indication information for recommending the number of target test beams. The base station then only needs to configure the corresponding number of reference signal resources. For example, in FIG. 3, the number of model input beams reported by terminal A is 4 and the number of model output beams is 16, while the number of model input beams reported by terminal B is 8 and the number of model output beams is 16.

[0044] (Example 4) If the base station configures or predefines multiple beam groups, the UE reports indication information to indicate one or more beam groups or beam group indexes, i.e., the index of at least one first test beam group, according to the training and inference results of the deployed AI model, and each beam group can be used as an input to the AI model. If the UE reports multiple beam groups or beam group indexes, the base station can select to transmit one or more beam groups and perform corresponding resource configuration according to the scheduling situation.

[0045] As can be seen from Examples 1 to 4, based on the indication information of the recommended transmission beam reported by the UE, the base station can select to configure reference signal resources only for the recommended transmission beam, thereby effectively reducing beam training overhead. In addition, because the AI model is deployed on the UE side, even when the AI model has just come online or its inference performance is poor, the UE can proactively trigger or deactivate the transmission of the associated reference signal resource set to provide data required for fine-tuning or performance monitoring of the AI model when it is online.

[0046] In step S120, a target test beam transmitted from the first communication device is received.

[0047] In this step, since the base station has determined the target test beam in step S110, in step S120 the user equipment can receive the target test beam from the base station, which makes it easier to predict the optimal beam result according to the target test beam in subsequent steps and feed back related information of the optimal beam result to the base station.

[0048] In step S130, predict an optimal beam result according to the target reference signal resource, and send optimal beam report indication information corresponding to the optimal beam result to the first communication device.

[0049] In this step, the user equipment can stably and reliably receive the desired target test beam transmitted from the base station, so that it can perform beam model measurement according to the target test beam to obtain optimal beam results, which is beneficial to improving beam measurement accuracy and filling the technical gap in related methods.

[0050] In one embodiment, there are multiple methods for the user equipment to predict the target reference signal resource, and these methods are not limited thereto. For example, the user equipment may perform measurement according to a preset predictive measurement program. When the program detects that the target reference signal resource has been received, the user equipment may measure the target reference signal resource according to the preset predictive measurement program to obtain an optimal beam result. Alternatively, for example, the operator may provide a sensing device for sensing the received target reference signal resource. When the sensing device indicates that the target reference signal resource has been received, this indicates that a target test beam corresponding to the target reference signal resource has been received. The operator may then measure the target reference signal resource of the target test beam to obtain an optimal beam result. Alternatively, for example, the user equipment may input the target reference signal resource into a pre-trained AI model, and the output result of the AI model may be used as the optimal beam result.

[0051] In one embodiment, the optimal beam result can be determined according to a specific scene, but is not limited thereto, for example, at least one optimal beam; at least one optimal beam pair; and at least one beam pair adjacent to the at least one optimal beam pair.

[0052] In one embodiment, the target test beam includes beam designation information, which is used to indicate the position information of the target test beam in the beam space, where the beam space may be one or more and is determined according to an actual application scenario, that is, different actual application scenarios may result in different position information of the corresponding target test beam in the beam space.

[0053] In one embodiment, the beam direction information comprises: index information of at least one second test beam group including a plurality of target test beams; index information of at least one first target virtual resource in the omni resource set corresponding to the target test beam, the first target virtual resource not being used for transmission by the first communication device; and and control signaling for indicating an active state of at least one reference signal resource in a preconfigured omni resource set, the control signaling including a signaling field corresponding to the reference signal resource, the control signaling indicating that the reference signal resource is in an active state when the value of the signaling field is target data.

[0054] The specific number of target test beams in the second test beam group can be set according to specific application scenarios, but is not limited thereto. The beam corresponding to the first target virtual resource is a beam that the base station has not transmitted to the user equipment, but is a useful predicted beam for the user equipment. Therefore, by transmitting index information of at least one first target virtual resource in the omni resource set corresponding to the target test beam to the base station, the base station can configure the first target virtual resource and transmit the corresponding test beam to the user equipment. The specific value of the signaling field in the control signaling is not limited and is only used to indicate an active or inactive state. Specific application scenarios for each beam indication information will be described step by step in the following embodiments, but the description thereof will be omitted here.

[0055] In one embodiment, when the beam instruction information includes control signaling for indicating an active state of at least one reference signal resource in a preconfigured omni resource set, the control signaling includes: Media access control layer control unit signaling; and and downlink control signaling.

[0056] The above-configured control signaling can better represent the active state of the reference signal resource, and has a good indication effect.

[0057] In one embodiment of the present application, the step before "sending optimal beam report indication information to the first communication device" in step S130 is further described, and may further include, but is not limited to, step S140.

[0058] In step S140, reporting method instruction information is transmitted to the first communication device to indicate a method for transmitting the optimal beam report instruction information.

[0059] In this step, the determined reporting method indication information is used to indicate the method of transmitting the optimal beam reporting indication information. Therefore, by transmitting the reporting method indication information to the base station, the base station can be informed of the specific form in which the user equipment will transmit the optimal beam reporting indication information, thereby enabling the base station to identify the specific form of the optimal beam reporting indication information and accurately grasp the actual situation of the optimal beam result.

[0060] In one embodiment, the specific form of the optimal beam report instruction information may vary depending on different application scenarios, but each embodiment will be described in detail step by step below.

[0061] In the omni-beam scanning method of the related art, the base station configures reference signal resources in all beam directions, i.e., configures an omni-resource set, and the terminal measures the omni-resource set and then selects and reports one or more optimal beams from the set. On the other hand, in the AI-based beam scanning method, the terminal can only receive and measure some sampling beams or wide beams, predicts full beam spatial information based on the AI inference result, and reports the optimal beam. Here, there may be a problem that the optimal beam inferred by the AI is a beam not transmitted by the base station. Therefore, the UE needs to indicate this optimal beam in the beam report to inform the base station of the content of this optimal beam. Based on this, the UE transmits first beam reporting indication information corresponding to this situation to the base station. If the optimal beam reporting indication information includes first beam reporting indication information, the first beam reporting indication information is Index information of the optimal beam result; Offset information of the optimal beam result for at least one first beam, where the first beam is a beam that has not been received from the first communication device, that is, the base station does not know the relevant information of the first beam and therefore needs to report it; and Prediction-related parameter information of a pre-configured prediction model, which is used by a user device to predict an optimal beam result, and the prediction model can be set according to a specific scene, for example, an AI model, a deep network model, etc., but is not limited thereto; and and beam characteristic information of the optimal beam result.

[0062] In one embodiment, the index information of the optimal beam result is: index information of at least one second target virtual resource in the omni resource set corresponding to the optimal beam result, the second target virtual resource not being used by the first communication device to transmit; and The channel state information of the optimal beam result includes at least one of the reference signal resource set and the reference signal received power.

[0063] Although the beam corresponding to the second target virtual resource is a beam that the base station has not transmitted to the user equipment, it is a predicted optimal beam result. Therefore, by transmitting index information of at least one second target virtual resource in the omni resource set corresponding to the optimal beam result to the base station, the base station can know the optimal beam result corresponding to the second target virtual resource.

[0064] In one embodiment, the offset information of the optimal beam result for the at least one first beam comprises: index offset information of a best beam result for at least one first beam; optimal beam result directional offset information for at least one first beam; optimal beam result angular offset information for the at least one first beam; and position offset information of the optimal beam result for the at least one first beam.

[0065] By reporting the offset amount of the optimum beam result for at least one first beam, the base station can know the relative relationship between the optimum beam result and the first beam.

[0066] In one embodiment, the prediction-related parameter information comprises: output vector information; and matrix index information.

[0067] The output vector information or matrix index information may be parameter information corresponding to the prediction model used by the user device, and in specific application scenarios, the output vector information or matrix index information may be other corresponding parameter information, but this is not limited thereto.

[0068] In one embodiment, the beam characteristic information of the optimal beam result is: beam direction information for optimal beam results; beam angle information for optimal beam results; beam angle range information for optimal beam results; beam width information for optimal beam results; Beam type information for optimal beam results; and location information of the adjacent transmit beams of the optimal beam result.

[0069] In order to better explain the operating principles of the above-described embodiments, several specific examples will be given below.

[0070] (Example 5) For example, a UE reports a virtual resource set index or virtual resource index corresponding to an optimal beam result. Since the base station configures reference signal resources only for some sampling beams or wide beams, the AI-based beam reporting method requires the UE to measure the transmit beam and infer the optimal beam result using the deployed AI model. The UE can then establish a mapping relationship between the configured resource set and the omni-resource set using the virtual resource set index or virtual resource index, thereby providing a reporting instruction to the base station. Specifically, the UE can employ two reporting methods: 1) a traditional reporting method, i.e., a reporting method that reports a reference signal resource index and a beam measurement result; and 2) an AI model-based reporting method, i.e., a reporting method that reports a virtual resource set index or virtual resource index and predicted beam quality information. The UE can also use an additional bit to indicate whether the reporting method is traditional or AI model-based. The virtual resource set index or virtual resource index is used to indicate the index or position in the omni resource set of the reported resource / beam index, where virtual indicates that the omni resource set or resource is not actually being transmitted.

[0071] 4, for example, one circle corresponds to one reference signal resource index or one measurement beam, a blank circle represents a transmitted beam, and a textured circle represents a non-transmitted beam. The base station sets the reference signal resource index to 1 to 4, but the UE predicts through the AI model that the reference signal resource virtual index corresponding to the optimal beam is 8, so the UE reports the reference signal resource index 8 and the corresponding beam quality information.

[0072] (Example 6)

[0073]

number

[0074] As shown in Figure 5, each circle corresponds to one reference signal resource index or one measurement beam. Blank circles represent transmitted beams, and textured circles represent untransmitted beams. The reference signal resource indexes carried by the wide beams configured by the base station are 1 to 4, respectively. Assuming that one wide beam can be subdivided into four narrow beams, i.e., the reference signal resources carried by one wide beam and four narrow beams are configured as QCL type D, the base station only needs to configure and transmit wide beam set A. The UE infers the beam quality information of the narrow beam (i.e., omni resource set B) based on the deployed AI model and reports the wide beam index corresponding to the optimal narrow beam, the beam quality information predicted by the AI, and an offset. This offset can take the values 00, 01, 10, or 11, representing the specific location of the narrow beam where the reported wide beam satisfies the quasi-colocation relationship.

[0075] (Example 7) For example, if the UE reports the output vector or / and matrix index of an AI model, and the AI model deployed on the UE side is opaque to the base station, for example, if the base station has some understanding of the AI model input, model output, or model parameters, the UE can directly report relevant information of the AI model output, such as a numerical value or index corresponding to an element in the model output vector or model output matrix. The base station can determine the specific position of the reported optimal beam result based on the relevant information of the AI model output reported by the UE.

[0076] (Example 8) For example, when a UE reports additional beam description information, since a base station configures or transmits reference signal resources only for some sampling beams or wide beams, if the optimal beam inferred by the UE's AI model is a beam not transmitted by the base station, the UE cannot report the corresponding reference signal resource index and beam measurement result using the conventional reporting method. In this case, in the AI-based beam reporting method, the UE reports additional beam description information and corresponding beam quality information to indicate the location and beam quality of the optimal beam result reported by the base station. This beam description information includes at least one of the following: beam direction, beam angle, beam angle range, beam width, beam type, and location information between two previously transmitted transmission beams.

[0077] As can be seen from Examples 5 to 8, based on the reporting instruction information of the first beam reported by the UE, the base station can reliably determine the specific position of the optimal beam reported by the UE.

[0078] In one embodiment, considering that the reference signal resource index CRI / SSBRI of the synchronization signal block index reported by the user equipment has a binding relationship with its beam quality information, i.e., each CRI / SSBRI in the reported parameters corresponds to one beam quality information, in order to fit the AI-based beam reporting scheme, the binding relationship between the CRI / SSBRI and the beam quality information in the beam report is relaxed, i.e., the number of reference signal resource indexes and beam quality information that need to be reported from the user equipment is flexibly indicated according to the UE capability and system load, and the reference signal resource index and the corresponding beam quality information are reported sequentially according to the mapping rule of the channel state information (CSI) domain. In addition, for each beam that needs to be reported, the user equipment can report corresponding time information. That is, if the optimal beam report indication information includes report indication information of a second beam, the report indication information of the second beam is Index information and beam quality information of reference signal resources corresponding to the optimal beam result; Index information of a reference signal resource corresponding to the optimal beam result; Index information of reference signal resources corresponding to some of the optimal beams in the optimal beam result, beam quality information, and index information of reference signal resources corresponding to other some of the optimal beams in the optimal beam result; The information includes at least one of index information of the reference signal resource corresponding to the optimal beam result, beam quality information, and slot information.

[0079] In one embodiment, the index information of the reference signal resource corresponding to the optimal beam result is: Index information of a reference signal resource corresponding to the measured optimal beam result; Index information of a reference signal resource corresponding to an optimal beam result obtained based on a pre-configured prediction model; and index information of a reference signal resource corresponding to an input beam of a preconfigured prediction model, the prediction model being used to predict an optimal beam result.

[0080] In other words, the specific form of the index information of the reference signal resource corresponding to the optimal beam result transmitted from the user equipment can be determined according to different application scenarios, for example, it may be measured by itself, obtained based on a prediction model, or it may be index information of the reference signal resource corresponding to the input beam of the prediction model.

[0081] In one embodiment, the slot information is: slot offset information; slot order information; Slot application information; Slot position information; and slot continuation information.

[0082] By transmitting slot information, the user equipment notifies the base station of the transmission timing status of the optimal beam result, which allows the base station to better arrange or process the optimal beam result thereafter, which is advantageous for improving the overall control effect.

[0083] As shown in Figure 6, in one embodiment of the present application, when the optimal beam result includes multiple optimal beams, the step S130 of "sending optimal beam report instruction information to the first communication device" is further described, which may include, but is not limited to, steps S1301 to S1302.

[0084] In step S1301, a plurality of optimal beams are sorted in descending order according to a preset time to obtain a target report instruction information sequence.

[0085] In step S1302, optimal beam report instruction information corresponding to a plurality of optimal beams is sequentially transmitted to the first communication device, starting from the first optimal beam in the target report instruction information sequence.

[0086] In this step, by arranging multiple optimal beams in order according to their respective transmission times to obtain a target report instruction information sequence, the transmission timing situation of each optimal beam can be determined, and optimal beam report instruction information corresponding to each optimal beam can be transmitted sequentially according to the target report instruction information sequence, thereby realizing timing-staggered transmission. This allows the base station to receive each optimal beam report instruction information more intuitively and reliably, avoiding situations such as inaccurate or difficult reception by the base station, and at the same time, marking the timing also makes it easier to correct any subsequent errors that may occur.

[0087] In one embodiment, the application scenario of the optimal beam may be various and may be determined according to a specific application situation, but is not limited thereto. For example, one optimal beam may be, but is not limited to, the optimal beam to be transmitted in the current situation. Also, for example, the optimal beam may be the optimal beam at multiple future times predicted by the user equipment, that is, the optimal beam is a beam that is not transmitted.

[0088] In order to better explain the operating principles of the above-described embodiments, specific examples will be given below. (Example 9) In one reporting flow, the UE reports one or more CRIs and corresponding beam quality information, including at least one of the CRI corresponding to the optimal beam measured by the UE, the CRI corresponding to the optimal beam inferred by the AI model, and the CRI corresponding to the input beam used for the AI inference.

[0089] In another reporting flow, the UE reports only the CRI corresponding to the selected beam. For example, if the AI model deployed on the UE side can only predict the optimal beam index, the UE can report only the CRI corresponding to the optimal beam and does not need to report its corresponding beam quality information.

[0090] In another reporting flow, the UE reports corresponding CRI and beam quality information for some of the beams that need to be reported, and reports only corresponding CRI for other parts of the beams that need to be reported. For example, the UE reports beam groups each including multiple beams for one or more different beam areas, and within each beam group, it only needs to report one beam quality information indicating the rough beam quality of this beam group, and reports only corresponding CRI for other beams.

[0091] In another reporting flow, the UE reports one or more reference signal resource indexes (CRIs), beam quality information, and corresponding time information. For example, the UE can directly predict optimal transmission beams at multiple future times according to the deployed AI model, and report CRIs, beam quality information, and corresponding time information corresponding to one or more optimal beams at multiple future times. The time information here may be, but is not limited to, a slot offset, a priority, an application time, a location slot, and a duration.

[0092] As can be seen from Example 9, by transmitting the reporting instruction information of the second beam, the problem of insufficient flexibility in resource configuration and beam reporting in existing protocols can be effectively solved.

[0093] As shown in Fig. 7, Fig. 7 is a flowchart of a beam measurement method according to another embodiment of the present application, which may be applied to a first communication device such as, but not limited to, the base station 120 in the embodiment shown in Fig. 1. The beam measurement method may include, but is not limited to, steps S210 to S240.

[0094] In step S210, beam recommendation indication information transmitted from the second communication device is received.

[0095] In step S220, a target test beam constituting a target reference signal resource is determined according to the beam recommendation indication information.

[0096] In step S230, a target test beam is transmitted to the second communication device, so that the second communication device predicts an optimal beam result according to the target reference signal resource.

[0097] In step S240, receive optimal beam report indication information sent from the second communication device, where the optimal beam report indication information corresponds to the optimal beam result.

[0098] It should be noted that the first communication device in this embodiment may be, but is not limited to, the base station 120 in the embodiment shown in FIG. 1, and the second communication device in this embodiment may be, but is not limited to, the user equipment 110 in the embodiment shown in FIG. 1. Alternatively, those skilled in the art can select and configure the corresponding first communication device or second communication device according to the actual application scenario, but this embodiment is not limited thereto. In order to more easily explain the application scenarios and principles of the present application, in the following related embodiments, a base station will be described as the first communication device and a user equipment will be described as the second communication device, but this should not be construed as limiting the embodiments of the present application.

[0099] In this step, by receiving beam recommendation instruction information transmitted from the user equipment, it is only necessary to configure reference signal resources only for the recommended transmission beam corresponding to the beam recommendation instruction information, that is, it is only necessary to configure reference signal resources only for the desired target test beam and transmit the target test beam, which is advantageous for reducing the beam training overhead on the base station side, and in such a situation, the user equipment can stably and reliably receive the desired target test beam.Furthermore, beam model measurement can be performed according to the target test beam to obtain optimal beam results, which is advantageous for improving beam measurement accuracy and can fill the technical gap in related methods.

[0100] In one embodiment of the present application, step S220 is further described, as shown in Figure 8. Step S220 may include, but is not limited to, steps S2201 to S2202.

[0101] In step S2201, a recommended beam is determined according to the beam recommendation instruction information. In step S2202, a reference signal resource is configured for the recommended beam to obtain a target test beam.

[0102] In this step, the recommended beam corresponding to the beam recommendation indication information is determined according to the beam recommendation indication information, and reference signal resource configuration is further performed for the recommended beam to accurately obtain the desired target test beam.

[0103] In one embodiment of the present application, step S2202 is further described. Step S2202 is configuring a target reference signal resource for a recommended beam; The method may include, but is not limited to, any one of the steps of: searching for and activating a target reference signal resource from a pre-configured omni resource set for the recommended beam, wherein the omni resource set includes reference signal resources configured for all beams in the beam space.

[0104] That is, the target reference signal resource may be directly configured for the recommended beam, or may be indirectly configured by activating the target reference signal resource from a pre-configured omni-resource set, or may be specifically selected according to the actual scene, but this is not limited thereto.

[0105] In one embodiment of the present application, step S220 is further described, as shown in Figure 9. Step S220 may include, but is not limited to, step S2203.

[0106] In step S2203, a target test beam including beam instruction information is determined according to the beam recommendation instruction information, and the beam instruction information is used to indicate the position information of the target test beam in the beam space.

[0107] In this step, a target test beam including beam indication information is determined, and by transmitting the target test beam to the user equipment, the user equipment obtains the beam indication information, thereby enabling the user equipment to determine the specific position in the beam space of the target test beam transmitted from the base station, which makes it easier to input the corresponding beam into the prediction model, and is beneficial to improving the prediction accuracy of the prediction model.

[0108] In addition, steps S210 to S240, steps S2201 to S2202, and step S2203 in the above embodiment are the same inventive idea as the related embodiment of the previous beam measurement method, and only the execution entity is different, that is, the execution entity of the previous beam measurement method is the second communication device, but the execution entity of steps S210 to S240, steps S2201 to S2202, and step S2203 in the above embodiment is the first communication device.Therefore, for other specific embodiments and related embodiments of steps S210 to S240, steps S2201 to S2202, and step S2203 in the above embodiment, such as specific embodiments of beam recommendation instruction information, beam instruction information, first beam report instruction information, second beam report instruction information, etc., reference can be made to the specific embodiments of the beam measurement method in the previous embodiment, and in order to avoid redundancy, the description of this part of the embodiment will be omitted here.

[0109] In order to better explain the operating principles of the above-described embodiments, several specific examples will be given below. (Example 10) Taking the inclusion of a beam group index as an example, if a base station configures multiple beam groups, or if a UE reports or pre-defines multiple beam groups, when configuring a reference signal resource, the base station can include a corresponding beam group index therein to indicate the specific position of the corresponding transmitting beam in the beam space. (Example 11) For example, in the omni-beam scanning method of the related art, a base station needs to configure reference signal resources for all beam directions, i.e., configure an omni-resource set. In contrast, in the AI-based beam scanning method, a base station only needs to configure reference signal resources for some beam directions and includes a virtual resource set index or virtual resource index to indicate the index or position of the configured reference signal resource in the omni-resource set. The "virtual" symbol indicates that this omni-resource set or resource is not actually transmitted. For example, referring to FIG. 10, one circle corresponds to one reference signal resource index or one measurement beam, a blank circle represents a transmitted beam, and a textured circle represents a non-transmitted beam. For different terminals A and B, when the base station configures reference signal resources for terminal A, the additional information to be included therein is 1, 6, 11, and 16. When the base station configures reference signal resources for terminal B, the additional information to be included therein is 1, 3, 10, and 12. (Example 12) For example, in the AI-based beam scanning method, the base station only needs to transmit some beams. Therefore, after configuring an omni-resource set, the base station simultaneously uses additional MAP control unit signaling or downlink control signaling to indicate the activation / deactivation status of each reference signal resource in the resource set. That is, the activation / deactivation operation is defined to be performed at the resource level. Specifically, the included MAP control unit signaling or downlink control signaling includes index IDs of all or some of the reference signal resources in the omni-beam set and their corresponding activation / deactivation statuses. For example, if the value of the associated signaling field is 1, it indicates that the corresponding reference signal resource is activated; otherwise, it indicates that it is deactivated.

[0110] As can be seen from Examples 10 to 12, the UE can clarify the index or specific position in the beam space of the beam transmitted from the base station through the beam instruction information transmitted from the base station, and can input the measurement results of the corresponding beam into the AI model for measurement, which is advantageous for improving the accuracy of model inference.

[0111] As shown in Fig. 11, Fig. 11 is a flowchart of a beam measurement method according to another embodiment of the present application, which may be applied to a first communication device such as, but not limited to, the base station 120 in the embodiment shown in Fig. 1. The beam measurement method may include, but is not limited to, steps S310 to S330.

[0112] In step S310, a target test beam including beam designation information is determined, and the beam designation information is used to indicate the position information of the target test beam in beam space.

[0113] In step S320, a target test beam is transmitted to the second communication device, so that the second communication device predicts an optimal beam result according to the beam indication information.

[0114] In step S330, receive optimal beam report indication information sent from the second communication device, where the optimal beam report indication information corresponds to the optimal beam result.

[0115] It should be noted that the first communication device in this embodiment may be, but is not limited to, the base station 120 in the embodiment shown in FIG. 1, and the second communication device in this embodiment may be, but is not limited to, the user equipment 110 in the embodiment shown in FIG. 1. Alternatively, those skilled in the art can select and configure the corresponding first communication device or second communication device according to the actual application scenario, but this embodiment is not limited thereto. In order to more easily explain the application scenarios and principles of the present application, in the following related embodiments, a base station will be described as the first communication device and a user equipment will be described as the second communication device, but this should not be construed as limiting the embodiments of the present application.

[0116] In this step, a target test beam including beam indication information is determined and the target test beam is transmitted to the user equipment, so that the user equipment can stably and reliably receive the desired target test beam, thereby clarifying the specific position in the beam space of the target test beam transmitted from the base station, and the measurement results of the corresponding target test beam can be input into the prediction model for measurement and the optimal beam result can be predicted, which is beneficial to improving the accuracy of model inference and can fill the technical gap in related methods.

[0117] In one embodiment of the present application, step S310 will be further described, as shown in Figure 12. Step S310 may include, but is not limited to, steps S3101 to S3102.

[0118] In step S3101, beam recommendation instruction information transmitted from the second communication device is received.

[0119] In step S3102, a target test beam constituting a target reference signal resource is determined according to the beam recommendation indication information.

[0120] In this step, compared to the related method of comprehensively scanning all beams in the codebook, by receiving beam recommendation indication information transmitted from the user equipment, reference signal resources only need to be configured for the recommended transmission beam corresponding to the beam recommendation indication information, i.e., reference signal resources only need to be configured for the desired target test beam, which is advantageous in reducing beam training overhead on the base station side.

[0121] In one embodiment, step S3102 may include, but is not limited to, determining a recommended beam according to the beam recommendation indication information, and configuring a reference signal resource for the recommended beam to obtain a target test beam. That is, the recommended beam corresponding to the beam recommendation indication information is determined according to the beam recommendation indication information, and then configuring a reference signal resource for the recommended beam to accurately obtain a desired target test beam.

[0122] Configuring a reference signal resource for a recommended beam may be, but is not limited to, configuring a target reference signal resource for the recommended beam, or searching for and activating a target reference signal resource from a pre-configured omni resource set for the recommended beam, where the omni resource set includes reference signal resources configured for all beams in the beam space.

[0123] In addition, since steps S310 to S330 and steps S3101 to S3102 in the above embodiment are the same inventive idea as the related embodiment of the previous beam measurement method, other specific embodiments and related embodiments of steps S310 to S330 and steps S3101 to S3102 in the above embodiment, such as specific embodiments of beam recommendation instruction information, beam instruction information, first beam report instruction information, second beam report instruction information, etc., can refer to the specific embodiments of the beam measurement method in the previous embodiment, and in order to avoid redundancy, the description of this part of the embodiment will be omitted here.

[0124] As shown in Fig. 13, Fig. 13 is a flowchart of a beam measurement method according to another embodiment of the present application, which may be applied to a second communication device such as, but not limited to, the user equipment 110 in the embodiment shown in Fig. 1. The beam measurement method may include, but is not limited to, steps S410 to S420.

[0125] In step S410, a target test beam transmitted from a first communication device is received, the target test beam is determined by the first communication device, and the target test beam includes beam indication information, which is used to indicate the position information of the target test beam in beam space.

[0126] In step S420, predict an optimal beam result according to the beam indication information, and send optimal beam report indication information corresponding to the optimal beam result to the first communication device.

[0127] It should be noted that the second communication device in this embodiment may be, but is not limited to, the user equipment 110 in the embodiment shown in FIG. 1, and the first communication device in this embodiment may be, but is not limited to, the base station 120 in the embodiment shown in FIG. 1. Alternatively, those skilled in the art can select and configure a corresponding first communication device or second communication device according to an actual application scenario, but this embodiment is not limited thereto. In order to more easily explain the application scenarios and principles of the present application, in the following related embodiments, the user equipment is described as the second communication device and the base station is the first communication device, but this should not be construed as limiting the embodiments of the present application.

[0128] In this step, by receiving the desired target test beam transmitted from the first communication device, the specific position in the beam space of the target test beam transmitted from the base station can be clarified, and the measurement results of the corresponding target test beam can be input into the predictive model for measurement, making it easy to predict the optimal beam result, which is beneficial to improving the accuracy of model inference and can fill the technological gap in related methods.

[0129] 14, in an embodiment of the present application, a step before step S410 is further described, which may further include, but is not limited to, step S430 before step S410.

[0130] In step S430, beam recommendation indication information is sent to the first communication device, so that the first communication device determines a target test beam constituting the target reference signal resource according to the beam recommendation indication information.

[0131] In this step, compared to the related method of comprehensively scanning all beams in the codebook, by sending beam recommendation indication information to the base station, the base station only needs to configure reference signal resources for the recommended transmission beam corresponding to the beam recommendation indication information, i.e., only needs to configure reference signal resources for the desired target test beam, which is advantageous in reducing beam training overhead on the base station side.

[0132] In addition, since steps S410 to S420 and step S430 in the above embodiment are the same inventive idea as the related embodiment of the previous beam measurement method, other specific embodiments and related embodiments of steps S410 to S420 and step S430 in the above embodiment, such as specific embodiments of beam recommendation instruction information, beam instruction information, first beam report instruction information, second beam report instruction information, etc., can refer to the specific embodiment of the beam measurement method in the previous embodiment, and in order to avoid redundancy, the description of this part of the embodiment will be omitted here.

[0133] Furthermore, as shown in FIG. 15, one embodiment of the present invention further discloses a user device 200 that includes at least one processor 210 and at least one memory 220 for storing at least one program, and that, when the at least one program is executed by the at least one processor 210, realizes steps S110 to S130, step S140, step S1301 to S1302, step S410 to S420, or step S430 of the beam measurement method in the above-mentioned embodiment.

[0134] Furthermore, as shown in FIG. 16, one embodiment of the present application further discloses a base station 300 comprising at least one processor 310 and at least one memory 320 for storing at least one program, which, when executed by the at least one processor 310, realizes steps S210 to S240, steps S2201 to S2202, step S2203, steps S310 to S330, or steps S3101 to S3102 of the beam measurement method in any of the above-mentioned embodiments.

[0135] Furthermore, one embodiment of the present application discloses a computer-readable storage medium storing computer-executable instructions for executing the beam measurement method described in any of the previous embodiments.

[0136] Furthermore, an embodiment of the present application further discloses a computer program product including a computer program or computer instructions stored on a computer-readable storage medium, wherein a processor of a computing device reads the computer program or computer instructions from the computer-readable storage medium, and the processor executes the computer program or computer instructions such that the computing device performs the beam measurement method described in any of the previous embodiments.

[0137] Those skilled in the art will appreciate that all or part of the method steps and systems disclosed above can be implemented as software, firmware, hardware, and any suitable combination thereof. Some or all of the physical components can be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on computer-readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). As known to those skilled in the art, the term "computer storage media" includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVDs) or other optical disk storage, magnetic cartridges, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and that can be accessed by a computer. Also, as known to those skilled in the art, communication media typically includes computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0138] Although several embodiments of the present application have been specifically described above, the present application is not limited to the above embodiments, and a person skilled in the art may make various equivalent modifications or substitutions without departing from the scope of the present application, and all of these equivalent modifications or substitutions are included in the scope limited by the claims of the present application.

Claims

1. sending beam recommendation indication information to a first communication device, so that the first communication device determines a target test beam constituting a target reference signal resource according to the beam recommendation indication information; receiving the target test beam transmitted from the first communication device; predicting an optimal beam result according to the target reference signal resource, and sending optimal beam report indication information corresponding to the optimal beam result to the first communication device; A beam measurement method comprising:

2. The beam recommendation instruction information is Indication information for recommending a reference signal resource index of the target test beam; instructions for recommending a sampling interval for the target test beam; instruction information for recommending the number of target test beams; indication information for indicating an index of at least one first test beam group including a plurality of the target test beams; an instruction for recommending a beam angle for the target test beam; instruction information for recommending a beam direction of the target test beam; an instruction for recommending a beam width of the target test beam; an instruction for recommending a beam type for the target test beam; Indication information for recommending an angle of arrival or an angle of reception of a transmission channel in which the target test beam is located; instruction information for the first communication device to recommend transmission of the relative angle of the target test beam; and an instruction to recommend a relative angle of the target test beam.

3. The beam measurement method according to claim 1 , wherein the target test beam includes beam designation information, and the beam designation information is used to indicate position information of the target test beam in beam space.

4. The beam instruction information is index information of at least one second test beam group including a plurality of the target test beams; index information of at least one first target virtual resource in an omni resource set corresponding to the target test beam, the first target virtual resource not being used for transmission by the first communication device; and 4. The beam measurement method of claim 3, further comprising at least one of: control signaling for indicating an active state of at least one reference signal resource in a preconfigured omni resource set, the control signaling including a signaling field corresponding to the reference signal resource, and indicating that the reference signal resource is in an active state when the value of the signaling field is target data.

5. When the beam instruction information includes control signaling for indicating an active state of at least one reference signal resource in a preconfigured omni resource set, the control signaling further includes: Media access control layer control unit signaling; and and downstream control signaling.

6. When the optimal beam reporting instruction information includes first beam reporting instruction information, the first beam reporting instruction information is Index information of the optimal beam result; offset information of the optimal beam result for at least one of the first beams, the beam not being received from the first communication device; and prediction-related parameter information of a pre-configured prediction model, the prediction model being used to predict the optimal beam outcome; and and beam characteristic information of the optimal beam result.

7. When the first beam reporting instruction information includes the index information of the optimal beam result, the index information of the optimal beam result is index information of at least one second target virtual resource in an omni resource set corresponding to the optimal beam result, the second target virtual resource not being used for transmission by the first communication device; and The beam measurement method of claim 6 , including at least one of: a channel state information reference signal resource set of the optimal beam result; and a reference signal received power.

8. When the reporting instruction information of the first beam includes offset information of the optimal beam result for at least one of the first beams, the offset information of the optimal beam result for at least one of the first beams is index offset information of the optimal beam result for at least one of the first beams; directional offset information of the optimal beam result for at least one of the first beams; angular offset information of the optimal beam result for at least one of the first beams; and and position offset information of the optimum beam result for at least one of the first beams.

9. When the reporting instruction information of the first beam includes prediction-related parameter information of the preconfigured prediction model, the prediction-related parameter information is output vector information; and row and column index information.

10. When the report instruction information of the first beam includes beam characteristic information of the optimal beam result, the beam characteristic information of the optimal beam result is beam direction information of the optimal beam result; beam angle information of the optimal beam result; beam angle range information of the optimal beam result; beamwidth information of the optimal beam result; beam type information of the optimal beam result; and position information of adjacent transmit beams of the optimal beam result.

11. before transmitting optimal beam report indication information to the first communication device, The beam measurement method according to claim 1 , further comprising the step of transmitting, to the first communication device, reporting scheme instruction information for indicating a scheme for transmitting the optimal beam report instruction information.

12. When the optimal beam reporting instruction information includes second beam reporting instruction information, the second beam reporting instruction information is Index information and beam quality information of reference signal resources corresponding to the optimal beam result; Index information of a reference signal resource corresponding to the optimal beam result; Index information of reference signal resources corresponding to some optimal beams in the optimal beam result, beam quality information, and index information of reference signal resources corresponding to other optimal beams in the optimal beam result; The beam measurement method of claim 1 , including at least one of index information, beam quality information, and slot information of a reference signal resource corresponding to the optimal beam result.

13. When the second beam reporting indication information includes index information of a reference signal resource corresponding to the optimal beam result, the index information of the reference signal resource corresponding to the optimal beam result is: Index information of a reference signal resource corresponding to the measured optimal beam result; index information of a reference signal resource corresponding to the optimal beam result obtained based on a pre-configured prediction model; and index information of reference signal resources corresponding to input beams of a preconfigured prediction model, the prediction model being used to predict the optimal beam result.

14. When the second beam reporting indication information includes index information, beam quality information, and slot information of a reference signal resource corresponding to the optimal beam result, the slot information is: slot offset information; slot order information; Slot application information; Slot position information; and slot continuation information.

15. When the optimal beam result includes a plurality of optimal beams, the step of transmitting optimal beam report indication information to the first communication device includes: sorting the plurality of optimal beams in ascending order according to a predetermined time to obtain a target report indication information sequence; The beam measurement method of claim 1, further comprising a step of sequentially transmitting optimal beam report instruction information corresponding to the plurality of optimal beams to the first communication device, starting from the first optimal beam in the target report instruction information sequence.

16. receiving beam recommendation indication information transmitted from a second communication device; determining a target test beam constituting a target reference signal resource according to the beam recommendation indication information; transmitting the target test beam to the second communication device, so that the second communication device predicts an optimal beam result according to the target reference signal resource; receiving optimal beam report indication information transmitted from the second communication device, the optimal beam report indication information corresponding to the optimal beam result; A beam measurement method comprising:

17. The step of determining a target test beam according to the beam recommendation indication information includes: determining a recommended beam according to the beam recommendation indication information; The beam measurement method of claim 16, further comprising a step of configuring reference signal resources for the recommended beam to obtain a target test beam.

18. The step of configuring a reference signal resource for the recommended beam includes: configuring the target reference signal resource for the recommended beam; and a step of searching for and activating the target reference signal resource from a preconfigured omni resource set for the recommended beam, the omni resource set including reference signal resources configured for all beams in a beam space.

19. The step of determining a target test beam according to the beam recommendation indication information includes: The beam measurement method of claim 16, further comprising a step of determining a target test beam including beam instruction information in response to the beam recommendation instruction information, the beam instruction information being used to indicate position information of the target test beam in beam space.

20. When the optimal beam reporting instruction information includes first beam reporting instruction information, the first beam reporting instruction information is Index information of the optimal beam result; offset information of the optimal beam result for at least one of the first beams, the beam not being transmitted to the second communication device; and prediction-related parameter information of a preconfigured prediction model, the prediction model being used by the second communication device to predict the optimal beam result; and and beam characteristic information of the optimal beam result.

21. before receiving optimal beam report indication information transmitted from the second communication device, The beam measurement method of claim 16, further comprising a step of receiving reporting scheme indication information transmitted from the second communication device, the reporting scheme indication information being used to indicate a scheme in which the second communication device transmits the optimal beam reporting indication information.

22. When the optimal beam reporting instruction information includes second beam reporting instruction information, the second beam reporting instruction information is Index information and beam quality information of reference signal resources corresponding to the optimal beam result; Index information of a reference signal resource corresponding to the optimal beam result; Index information of reference signal resources corresponding to some optimal beams in the optimal beam result, beam quality information, and index information of reference signal resources corresponding to other optimal beams in the optimal beam result; The beam measurement method of claim 16 , including at least one of index information, beam quality information, and slot information of a reference signal resource corresponding to the optimal beam result.

23. determining a target test beam including beam designation information, the beam designation information being used to indicate position information of the target test beam in beam space; transmitting the target test beam to a second communication device, so that the second communication device predicts an optimal beam result according to the beam indication information; receiving optimal beam report indication information transmitted from the second communication device, the optimal beam report indication information corresponding to the optimal beam result; A beam measurement method comprising:

24. The step of determining a target test beam comprises: receiving beam recommendation indication information transmitted from the second communication device; The beam measurement method of claim 23, further comprising: determining a target test beam that constitutes a target reference signal resource in response to the beam recommendation indication information.

25. The beam recommendation instruction information is Indication information for recommending a reference signal resource index of the target test beam; instructions for recommending a sampling interval for the target test beam; instruction information for recommending the number of target test beams; indication information for indicating an index of at least one first test beam group including a plurality of the target test beams; an instruction for recommending a beam angle for the target test beam; instruction information for recommending a beam direction of the target test beam; an instruction for recommending a beam width of the target test beam; an instruction for recommending a beam type for the target test beam; Indication information for recommending an angle of arrival or an angle of reception of a transmission channel in which the target test beam is located; instruction information for recommending transmission of the relative angle of the target test beam; and an instruction to recommend a relative angle at which the second communications device receives the target test beam.

26. The step of determining a target test beam according to the beam recommendation indication information includes: determining a recommended beam according to the beam recommendation indication information; The beam measurement method of claim 24, further comprising a step of performing reference signal resource configuration for the recommended beam to obtain a target test beam.

27. The step of configuring a reference signal resource for the recommended beam includes: configuring the target reference signal resource for the recommended beam; and a step of searching for and activating the target reference signal resource from a preconfigured omni resource set for the recommended beam, the omni resource set including reference signal resources configured for all beams in a beam space.

28. The beam instruction information is index information of at least one second test beam group including a plurality of the target test beams; index information of at least one first target virtual resource in an omni resource set corresponding to the target test beam, the first target virtual resource not being used for transmitting to the second communication device; and and control signaling for indicating an active state of at least one reference signal resource in a preconfigured omni resource set, the control signaling including a signaling field corresponding to the reference signal resource, the control signaling indicating that the reference signal resource is in an active state when the value of the signaling field is target data.

29. When the beam instruction information includes control signaling for indicating an active state of at least one reference signal resource in a preconfigured omni resource set, the control signaling further includes: Media access control layer control unit signaling; and and downstream control signaling.

30. When the optimal beam reporting instruction information includes first beam reporting instruction information, the first beam reporting instruction information is Index information of the optimal beam result; offset information of the optimal beam result for at least one of the first beams, the beam not being transmitted to the second communication device; and prediction-related parameter information of a preconfigured prediction model, the prediction model being used by the second communication device to predict the optimal beam result; and and beam characteristic information of the optimal beam result.

31. When the first beam reporting instruction information includes the index information of the optimal beam result, the index information of the optimal beam result is index information of at least one second target virtual resource in an omni resource set corresponding to the optimal beam result, the second target virtual resource not being used for transmission to the second communication device; and The beam measurement method of claim 30, including at least one of: a channel state information reference signal resource set of the optimal beam result; and a reference signal received power.

32. When the reporting instruction information of the first beam includes offset information of the optimal beam result for at least one of the first beams, the offset information of the optimal beam result for at least one of the first beams is index offset information of the optimal beam result for at least one of the first beams; directional offset information of the optimal beam result for at least one of the first beams; angular offset information of the optimal beam result for at least one of the first beams; and and position offset information of the optimum beam result for at least one of the first beams.

33. When the reporting instruction information of the first beam includes prediction-related parameter information of the preconfigured prediction model, the prediction-related parameter information is output vector information; and row and column index information.

34. When the report instruction information of the first beam includes beam characteristic information of the optimal beam result, the beam characteristic information of the optimal beam result is beam direction information of the optimal beam result; beam angle information of the optimal beam result; beam angle range information of the optimal beam result; beamwidth information of the optimal beam result; beam type information of the optimal beam result; and position information of adjacent transmit beams of the optimal beam result.

35. before receiving optimal beam report indication information transmitted from the second communication device, The beam measurement method of claim 23, further comprising a step of receiving reporting scheme indication information transmitted from the second communication device, the reporting scheme indication information being used to indicate a scheme in which the second communication device transmits the optimal beam reporting indication information.

36. When the optimal beam reporting instruction information includes second beam reporting instruction information, the second beam reporting instruction information is Index information and beam quality information of reference signal resources corresponding to the optimal beam result; Index information of a reference signal resource corresponding to the optimal beam result; Index information of reference signal resources corresponding to some optimal beams in the optimal beam result, beam quality information, and index information of reference signal resources corresponding to other optimal beams in the optimal beam result; The beam measurement method of claim 23, including at least one of index information, beam quality information, and slot information of a reference signal resource corresponding to the optimal beam result.

37. When the second beam reporting indication information includes index information of a reference signal resource corresponding to the optimal beam result, the index information of the reference signal resource corresponding to the optimal beam result is: index information of a reference signal resource corresponding to the optimal beam result measured by the second communication device; and Index information of a reference signal resource corresponding to the optimal beam result obtained based on a prediction model preconfigured by the second communication device; and index information of reference signal resources corresponding to input beams of a preconfigured prediction model, the prediction model being used by the second communication device to predict the optimal beam result.

38. When the report indication information of the second beam includes a channel state information reference signal resource set, beam quality information, and slot information of the optimal beam result, the slot information is: slot offset information; slot order information; Slot application information; Slot position information; and slot duration information.

39. receiving a target test beam transmitted from a first communication device, the target test beam being determined by the first communication device, the target test beam including beam designation information, the beam designation information being used to indicate position information of the target test beam in beam space; A beam measurement method comprising the steps of predicting an optimal beam result according to the beam instruction information and transmitting optimal beam report instruction information corresponding to the optimal beam result to the first communication device.

40. before receiving a target test beam transmitted from the first communication device; 40. The beam measurement method of claim 39, further comprising the step of transmitting beam recommendation indication information to the first communication device so that the first communication device determines the target test beam constituting the target reference signal resource in accordance with the beam recommendation indication information.

41. When the optimal beam reporting instruction information includes first beam reporting instruction information, the first beam reporting instruction information is Index information of the optimal beam result; offset information of the optimal beam result for at least one of the first beams, the beam not being received from the first communication device; and prediction-related parameter information of a pre-configured prediction model, the prediction model being used to predict the optimal beam outcome; and and beam characteristic information of the optimal beam result.

42. before transmitting optimal beam report indication information to the first communication device, 40. The beam measurement method of claim 39, further comprising the step of transmitting, to the first communication device, reporting scheme indication information for indicating a scheme for transmitting the optimal beam report indication information.

43. When the optimal beam reporting instruction information includes second beam reporting instruction information, the second beam reporting instruction information is Index information and beam quality information of reference signal resources corresponding to the optimal beam result; Index information of a reference signal resource corresponding to the optimal beam result; Index information of reference signal resources corresponding to some optimal beams in the optimal beam result, beam quality information, and index information of reference signal resources corresponding to other optimal beams in the optimal beam result; 40. The beam measurement method of claim 39, including at least one of index information, beam quality information, and slot information of a reference signal resource corresponding to the optimal beam result.

44. When the optimal beam result includes a plurality of optimal beams, the step of transmitting optimal beam report indication information to the first communication device includes: sorting the plurality of optimal beams in ascending order according to a predetermined time to obtain a target report indication information sequence; 40. The beam measurement method of claim 39, further comprising the step of sequentially transmitting optimal beam report instruction information corresponding to the plurality of optimal beams to the first communication device, starting from the first optimal beam in the target report instruction information sequence.

45. at least one processor; at least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the beam measurement method according to any one of claims 1 to 15 is realized, or the beam measurement method according to any one of claims 39 to 44 is realized. User equipment.

46. at least one processor; at least one memory for storing at least one program; At least one of the programs, when executed by at least one of the processors, implements the beam measurement method according to any one of claims 16 to 38. Base station.

47. A computer-readable storage medium storing a processor-executable program for implementing the beam measurement method according to any one of claims 1 to 44 when executed by a processor.

48. 45. A computer program product comprising a computer program or computer instructions stored on a computer readable storage medium, wherein a processor of a computing device reads the computer program or computer instructions from the computer readable storage medium, and the processor executes the computer program or computer instructions such that the computing device performs the beam measurement method of any one of claims 1 to 44.

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