Electronic device, method for wireless communication, and computer readable storage medium

Abstract

An electronic device, a method for wireless communication, and a computer readable storage medium are provided. The electronic device may include a processing circuit configured to determine, based on the channel characteristics, a monitoring mode for a beam prediction model that obtains predicted beam information for a future time based on the measured beam information, the monitoring mode indicating a future time corresponding to the predicted beam information as a monitoring object.

Description

Electronic device, method for wireless communication, and computer-readable storage medium

[0001] This application claims priority to the Chinese patent application filed with the China Patent Office on February 9, 2023, with application number 202310099117.9 and invention name “Electronic device, method for wireless communication, and computer-readable storage medium”, the entire contents of which are incorporated by reference into this application. Technical Field

[0002] The present application relates to the technical field of wireless communications, and more particularly, to an electronic device, a method for wireless communications, and a computer-readable storage medium that facilitates effective supervision of the performance of a beam prediction model. Background Art

[0003] With the development of artificial intelligence (AI) / machine learning (ML) technology, the application of AI / ML models in the field of wireless communications has received increasing attention.

[0004] Currently, leveraging the prediction results of AI / ML-based beam prediction models for beam management is a key research direction. The beam prediction model can be trained using historical beam measurement data, and the trained beam prediction model can be used to obtain predicted beam information based on the measured beam information. Using this predicted beam information for beam management can partially replace the traditional beam scanning process and reduce overhead.

[0005] In the process of using the predicted beam information to perform beam management, a supervision mechanism can be activated when necessary to supervise the performance of the beam prediction model, and it is expected that the performance of the model can be effectively supervised.

[0006] Summary of the Invention

[0007] A brief overview of the present disclosure is provided below to provide a basic understanding of certain aspects of the present disclosure. However, it should be understood that this overview is not an exhaustive overview of the present disclosure. It is not intended to identify key or important parts of the present disclosure, nor is it intended to limit the scope of the present disclosure. Its purpose is simply to present certain concepts of the present disclosure in a simplified form as a prelude to the more detailed description that will be given later.

[0008] An object of at least one aspect of the present disclosure is to provide an electronic device, a method for wireless communication, and a computer-readable storage medium, which are capable of determining a monitoring mode of a beam prediction model based on channel characteristics, thereby facilitating effective supervision of the performance of the beam prediction model.

[0009] According to one aspect of the present disclosure, an electronic device is provided, which includes a processing circuit, which is configured to: determine a monitoring mode of a beam prediction model for obtaining predicted beam information at a future moment based on measured beam information based on channel characteristics, and the monitoring mode indicates the future moment corresponding to the predicted beam information as a monitoring object.

[0010] According to another aspect of the present disclosure, a method for wireless communication is also provided, which includes: based on channel characteristics, determining a monitoring mode of a beam prediction model for obtaining predicted beam information at future moments based on measured beam information, wherein the monitoring mode indicates the future moment corresponding to the predicted beam information as a monitoring object.

[0011] According to another aspect of the present disclosure, a non-transitory computer-readable storage medium storing executable instructions is further provided. When the executable instructions are executed by a processor, the processor executes the above-mentioned method for wireless communication or various functions of the above-mentioned electronic device.

[0012] According to other aspects of the present disclosure, computer program codes and computer program products for implementing the above-mentioned method according to the present disclosure are also provided.

[0013] According to at least one aspect of an embodiment of the present disclosure, a monitoring mode of a beam prediction model is determined based on current channel characteristics, and the monitoring mode indicates a future moment corresponding to the predicted beam information of the monitored object, so that the performance of the beam prediction model can be effectively supervised using a monitoring mode suitable for the current channel characteristics.

[0014] Other aspects of the embodiments of the present disclosure are given in the following description, wherein the detailed description is used to fully disclose the preferred embodiments of the embodiments of the present disclosure without imposing limitations thereon. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The drawings described herein are for illustrative purposes only of selected embodiments and not all possible implementations, and are not intended to limit the scope of the present disclosure. In the drawings:

[0016] FIG1 is a schematic diagram for explaining beam management using prediction results of a beam prediction model;

[0017] FIG2 is a block diagram showing a configuration example of an electronic device according to an embodiment of the present disclosure;

[0018] 3A and 3B are tables for explaining examples of monitoring modes and intervals for channel fading speeds;

[0019] 4A and 4B are schematic diagrams for explaining an example process of determining a monitoring starting point;

[0020] 5A to 5C are schematic diagrams for explaining an example process of determining a monitoring target based on a monitoring mode and a monitoring starting point;

[0021] 6 is a block diagram illustrating a configuration example of an electronic device implemented on a terminal side according to an embodiment of the present disclosure;

[0022] 7 is a flowchart for illustrating an example signaling interaction for realizing an electronic device on the terminal side reporting capability information to the network side;

[0023] FIG8 is a flowchart illustrating an example signaling interaction for implementing beam prediction in an electronic device on the terminal side;

[0024] 9 is a flowchart for illustrating an example signaling interaction for determining a monitoring mode by an electronic device on a terminal side;

[0025] FIG10 is a flowchart illustrating an example signaling interaction for implementing an electronic device on the terminal side to measure a downlink monitoring beam;

[0026] FIG11 is a schematic diagram for illustrating an example of a MAC CE message for activating a downlink monitoring beam;

[0027] FIG12 is a flowchart illustrating another example signaling interaction for implementing an electronic device on the terminal side to measure a downlink monitoring beam;

[0028] 13 is a block diagram illustrating a configuration example of an electronic device implemented on a network side according to an embodiment of the present disclosure;

[0029] FIG14 is a flowchart illustrating an example signaling interaction for implementing an electronic device on the network side to obtain predicted beam information;

[0030] 15 is a flowchart for illustrating an example signaling interaction for an electronic device to determine a monitoring mode on a network side;

[0031] FIG16 is a flowchart illustrating an example signaling interaction for implementing an electronic device on the network side to send a downlink monitoring beam;

[0032] FIG17 is a flowchart illustrating another example signaling interaction for implementing an electronic device on the network side to send a downlink monitoring beam;

[0033] FIG18 is a flowchart illustrating a process example of a method for wireless communication according to an embodiment of the present disclosure;

[0034] FIG19 is a block diagram showing a first example of a schematic configuration of an eNB to which the technology of the present disclosure may be applied;

[0035] FIG20 is a block diagram illustrating a second example of a schematic configuration of an eNB to which the technology of the present disclosure may be applied;

[0036] FIG21 is a block diagram showing an example of a schematic configuration of a smartphone to which the technology of the present disclosure can be applied;

[0037] FIG. 22 is a block diagram illustrating an example of a schematic configuration of a car navigation device to which the technology of the present disclosure can be applied.

[0038] While the present disclosure is susceptible to various modifications and alternative forms, specific embodiments thereof have been shown by way of example in the drawings and are described in detail herein. It should be understood, however, that the description of specific embodiments herein is not intended to limit the disclosure to the particular forms disclosed, but rather, the disclosure is intended to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the disclosure. It should be noted that throughout the several drawings, corresponding reference numerals indicate corresponding parts. DETAILED DESCRIPTION

[0039] Examples of the present disclosure will now be described more fully with reference to the accompanying drawings.The following description is merely exemplary in nature and is not intended to limit the present disclosure, application, or uses.

[0040] Example embodiments are provided so that the present disclosure will be exhaustive and will fully convey its scope to those skilled in the art. Numerous specific details such as examples of specific components, devices, and methods are set forth to provide a detailed understanding of the embodiments of the present disclosure. It will be apparent to those skilled in the art that specific details need not be used and that the example embodiments can be implemented in many different forms, none of which should be construed as limiting the scope of the present disclosure. In some example embodiments, well-known processes, well-known structures, and well-known technologies are not described in detail.

[0041] The description will be in the following order:

[0042] 1. Overview

[0043] 2. Configuration examples of electronic devices

[0044] 2.1 Configuration Example

[0045] 2.2 Configuration Example of Electronic Devices Implemented on the Terminal Side

[0046] 2.3 Configuration Example of Electronic Devices Implemented on the Base Station Side

[0047] 3. Method Examples

[0048] 4. Application Examples

[0049] <1. Overview>

[0050] Before discussing the supervision of beam prediction models, we first briefly introduce beam prediction models and their applications in beam management.

[0051] As previously mentioned, the beam prediction model based on the AI / ML model can be trained using historical data from beam measurements, and the trained model can be used to predict beam information. The AI / ML models used by the beam prediction model can include various categories, such as but not limited to models based on neural networks (such as convolutional neural networks (CNN), recurrent neural networks (RNN) such as long short-term memory (LSTM) networks, etc.) or other AI / ML technologies, and this disclosure does not limit this.

[0052] As an example, consider the beam management sub-use case 2 (BM-Case 2) for downlink beam prediction discussed in a recent 3GPP meeting for AI / ML model-based beam management. In downlink beam prediction such as BM-Case 2, a trained AI / ML model-based beam prediction model can take the most recent K beam measurements or measured beam information obtained at K past moments as input and output, for example, F pieces of predicted beam information for F future moments, where K and F are each natural numbers greater than or equal to 1.

[0053] Here, for a given beam prediction model, K and F can be pre-specified model parameters, but the specific values ​​of the F future moments / the specific intervals between these moments can be related to the effective time or beam dwell time of the predicted beam information at each future moment, that is, the interval between two adjacent future moments corresponds to the effective time or beam dwell time of the predicted beam information at the previous future moment. Accordingly, depending on the specific beam prediction model, the moment values ​​or interval values ​​of the F future moments can be pre-specified (for example, specifying the interval between each future moment and the current time for prediction), or can be obtained as part of the model output (for example, outputting the interval between each future moment and the current time for prediction and / or the interval between each future moment, etc.), and the present disclosure does not limit this.

[0054] In the beam prediction model described above, the measured beam information obtained from each / every past beam measurement as input may include, but is not limited to, measurement information for L candidate beams, such as the reference signal received power (RSRP) of the L candidate beams (L is a natural number greater than or equal to 1). Optionally, if the beam prediction model is an RNN-based model (such as an LSTM-based model), the measured beam information obtained from each / every past beam measurement may also include information about the corresponding measurement time.

[0055] The predicted beam information at each future moment output by the beam prediction model may have various appropriate forms, for example, including but not limited to prediction information of N predicted beams at the future moment, where the N predicted beams may be, for example, the first N candidate beams among L candidate beams (N is a natural number greater than or equal to 1 and less than or equal to L). The prediction information of the N predicted beams may include, for example, identification information of each predicted beam (such as a beam ID) and one or more of the following information for each predicted beam: beam quality represented by RSRP (e.g., L1-RSRP); probability of being the optimal beam (and optionally related confidence); beam application time / dwell time; and / or other relevant information capable of determining the priority of the predicted beam.

[0056] In beam management, the predicted beam information obtained by the aforementioned beam prediction model can be used to replace the measured beam information obtained during existing beam scanning or beam measurement processes, thereby reducing overhead. Figure 1 shows an example of beam management using the prediction results of the beam prediction model. This example uses measured beam information from K past moments (K beam measurements) and predicted beam information for F future moments based on this measured beam information.

[0057] In the example of Figure 1 , for example, beam measurement can be performed whenever a beam failure occurs (beam measurement can also be restarted after the predicted beam information for the previous F time points becomes invalid) to obtain measured beam information for K times / K past time points. Furthermore, for example, model prediction can be performed whenever the next beam failure occurs after obtaining measured beam information for K times / K past time points to obtain predicted beam information for F future time points. This disclosure does not specifically limit the conditions or timing for triggering beam measurement and beam prediction, and these are not further detailed here.

[0058] In the example of beam management, such as that shown in FIG1 , beam failure may occur during beam management based on predicted beam information. This may be due to the performance of the beam prediction model, such as prediction accuracy, failing to meet requirements, or due to a degradation in the transmission quality of the current link or a sudden change in the channel at a certain moment. The latter case does not necessarily mean a degradation in the overall performance of the model, and there is no need to switch back to traditional beam measurement. Therefore, it is desirable to activate a supervision mechanism to monitor the performance of the beam prediction model when appropriate (for example, but not limited to, when a beam fails during beam management based on predicted beam information) to determine whether the entire model (not limited to the predicted beam information at a single moment) meets predetermined requirements, thereby facilitating a determination of whether it is necessary to switch back to traditional beam measurement.

[0059] Currently, there is no proposal on how to appropriately select the predicted beam information of the beam prediction model as the supervision object or monitoring object of the model according to different situations.

[0060] In view of the above situation, the inventors have proposed the inventive concept of the present invention: based on the channel characteristics, a monitoring mode for the beam prediction model is determined, and the monitoring mode indicates the future time corresponding to the predicted beam information of the monitoring object, so that the performance of the beam prediction model can be effectively supervised using a monitoring mode suitable for the current channel characteristics. Next, the device / method embodiments based on the above inventive concept and various preferred examples and processing will be described in conjunction with the example of beam management in Figure 1. Note that although the application background of the present disclosure is introduced by taking downlink beam management as an example, on the basis of the present disclosure, those skilled in the art can understand that the present disclosure is not limited to downlink beam management and can be appropriately applied to uplink beam management, which will not be repeated here.

[0061] <2. Configuration Example of Electronic Equipment>

[0062] [2.1 Configuration Example]

[0063] FIG. 2 is a block diagram illustrating a configuration example of an electronic device according to an embodiment of the present disclosure.

[0064] 2 , the electronic device 200 may include a determining unit 210. Optionally, the electronic device 200 may further include a communication unit 220 for transmitting information to or receiving information from another device and a storage unit 230 for storing various data, programs, and information.

[0065] Here, each unit of the electronic device 200 may be included in a processing circuit. It should be noted that the electronic device 200 may include either one processing circuit or multiple processing circuits. Furthermore, the processing circuit may include various discrete functional units to perform various functions and / or operations. It should be noted that these functional units may be physical entities or logical entities, and units with different names may be implemented by the same physical entity.

[0066] Note that the electronic device 200 can be either a network-side device or a terminal device, and this is not a limitation here. Furthermore, the electronic device 200 can have a deployed beam prediction model, i.e., a beam prediction model stored in its storage unit 230, so that the model can be used to directly obtain predicted beam information based on measured beam information. The electronic device 200 can also obtain information about the beam prediction model and / or predicted beam information, and other information required to monitor the performance of the model, via the communication unit 230, without having a beam prediction model, and this is also not a limitation here.

[0067] According to an embodiment of the present disclosure, the determination unit 210 of the electronic device 200 can be configured to: determine a monitoring mode of a beam prediction model for obtaining predicted beam information at future moments based on measured beam information based on channel characteristics, and the monitoring mode indicates the future moment (which may also be referred to as a monitoring moment when appropriate in this document) corresponding to the predicted beam information as the monitoring object.

[0068] As an example, the above-mentioned channel characteristics may include a channel fading speed. The channel fading speed may be based on the mobility of the terminal device, and the determination unit 210 may determine or obtain an indicator of the channel fading speed via various appropriate methods.

[0069] In one example, the determination unit 210 may be configured to determine the current channel fading speed based on, for example, a predetermined reference signal received via the communication unit 220. When the electronic device 200 is a network-side device, the predetermined reference signal may be an uplink reference signal received from the terminal device; when the electronic device 200 is a terminal device, the predetermined reference signal may be a downlink reference signal received from the network-side device. The determination unit 210 may perform channel estimation and determine the Doppler shift in various existing ways based on the received reference signal, and characterize the channel fading speed in an appropriate form of the Doppler shift (for example, but not limited to, the inverse of the Doppler shift), wherein the larger the Doppler shift, the faster the channel fading speed. Alternatively, for example, when the electronic device 200 is a terminal device (or when the electronic device 200 is a network-side device that can directly obtain its moving speed from the terminal device), the determination unit 210 may also directly characterize the channel fading speed by the moving speed of the terminal device, wherein the faster the moving speed of the terminal device, the faster the channel fading speed, which will not be described in detail here.

[0070] Preferably, the determination unit 210 may pre-set a plurality of predetermined intervals for the channel fading speed and a plurality of monitoring modes in an associated manner, and store them in the storage unit 230. The upper table in Figures 3A and 3B shows an example of the association between the above-mentioned speed intervals and monitoring modes, the middle table shows an example of the definition of each speed interval, and the lower table shows an example of the definition of each monitoring mode (described in detail later).

[0071] In this case, the determination unit 210 may be configured to determine, based on one of the multiple predetermined intervals to which the current channel fading rate belongs, one of the multiple monitoring patterns corresponding to the interval. For example, in the case of applying the example of predetermined intervals and monitoring patterns in FIG3A , if the current channel fading rate is within a first interval between V2 and V3, the determination unit 310 determines the first pattern corresponding to the first interval among the first and second patterns.

[0072] Preferably, in the multiple predetermined intervals pre-set by the determination unit 210, the channel fading rate of the first interval is greater than the channel fading rate of the second interval, and in the multiple monitoring modes, the correlation between the multiple future moments of the multiple predicted beam information indicated by the first mode corresponding to the first interval can be higher than the correlation between the multiple future moments of the multiple predicted beam information indicated by the second mode corresponding to the second interval. The reason for the above preferred setting is that the performance of the time-domain beam prediction model is mainly affected by the time variation of the channel. When the time-varying characteristics of the channel are relatively gentle, only the accuracy of the predicted beam information at moments with high correlation is close to each other. Therefore, it is necessary to select moments with high correlation, for example, so that the monitored objects are relatively concentrated in time, thereby ensuring the timeliness of the model supervision. In contrast, when the time-varying characteristics of the channel are relatively gentle, even if the correlation between the moments is low, the accuracy of the predicted beam information at these moments is relatively stable (close to each other). Therefore, moments with low correlation can be selected, for example, so that the monitored objects are relatively dispersed in time, which is conducive to avoiding interference with the model supervision caused by channel mutations. Therefore, the above-mentioned preferred setting is conducive to appropriately selecting different monitoring modes for different channel scenarios, thereby facilitating effective supervision of the beam prediction model.

[0073] As an example, the monitoring modes preset by the determination unit 210 may include: a first monitoring mode (continuous mode) indicating continuous future moments; and a second monitoring mode (discrete mode) indicating discrete future moments.

[0074] Preferably, the above two monitoring modes can both indicate future moments corresponding to the predicted beam information obtained by the beam prediction model based on the measurement beam information of the same past moment. In other words, they are continuous or discrete future moments among the F future moments predicted (one model output) based on the same K times / K past moments' measurement beam information.

[0075] The table below FIG3A shows two examples of monitoring modes in this case. In this example, in order to facilitate unification or simplification of operation, each mode, in addition to specifying whether the future moment of the monitored object (monitoring moment) is a continuous or discrete future moment, also additionally specifies the number M of monitoring moments (M is a natural number less than F). In addition, the second mode, which is a discrete mode, also additionally specifies the interval between monitoring moments. It will be understood that the above additional restrictions are not necessary for defining the monitoring mode and can be omitted.

[0076] As shown in the upper and middle tables of FIG3A , the above-mentioned first mode and second mode can be respectively applicable to the first interval where the channel fading speed is faster and the second interval where the channel fading speed is normal or slower. The specific range of each interval (the specific values ​​of V1 to V3 in the middle table of FIG3A ) can be set in various appropriate ways. In one example, the first interval may correspond to a situation where the terminal device moves at high speed (such as on a high-speed rail), and the second interval may correspond to a situation where the terminal device moves at a medium speed (such as being carried by a user riding a bicycle or taking a car) or moves at a low speed (such as being carried by a walking user) or is stationary. Additionally or alternatively, the specific range of each interval can be appropriately determined by experiments or the like, so that the monitoring accuracy of the monitoring mode corresponding to each interval meets the predetermined requirements, which will not be repeated here.

[0077] Alternatively, the first monitoring mode (continuous mode) may indicate continuous future moments corresponding to the predicted beam information obtained by one prediction, and the second monitoring mode (discrete mode) may include two modes, respectively indicating discrete future moments corresponding to the predicted beam information obtained by one prediction or multiple predictions. In other words, the first discrete mode may indicate the future moment corresponding to the predicted beam information obtained by the beam prediction model based on the measurement beam information at the same past moment (one prediction based on the same measurement beam information at K times / K past moments), and the second discrete mode may indicate the future moment corresponding to the predicted beam information obtained by the beam prediction model based on the measurement beam information at different past moments (multiple predictions based on multiple groups of measurement beam information at K times / K past moments).

[0078] The table below Figure 3B shows an example of the definition of two (three) monitoring modes in this case. The definitions of the first mode (continuous mode) and the second mode (first discrete mode) in Figure 3B actually correspond to the definitions of the first mode and the second mode in Figure 3A, respectively, and are not repeated here. In order to facilitate unification or simplify operation, the definition of the third mode as the second discrete mode in Figure 3B additionally specifies the positions of the monitoring moments in multiple predictions. It can be understood that the above additional restrictions are not necessary for defining the monitoring mode and can be omitted.

[0079] As shown in the upper and middle tables of FIG3B , the above-mentioned first, second and third modes can be respectively applicable to the first interval with a faster channel fading speed, the second interval with a normal channel fading speed and the third interval with a slower channel fading speed. The specific range of each interval (the specific values ​​of V1 to V4 in the middle table of FIG3B ) can be set in various appropriate ways. In one example, the first interval can correspond to a situation where the terminal device moves at a high speed (such as on a high-speed rail), the second interval can correspond to a situation where the terminal device moves at a medium speed (such as being carried by a user riding a bicycle or taking a car), and the third interval can correspond to a situation where the terminal device moves at a low speed (such as being carried by a walking user) or is stationary. Additionally or alternatively, the specific range of each interval can be appropriately determined by experiments or the like, so that the monitoring accuracy of the monitoring mode corresponding to each interval meets the predetermined requirements, which will not be repeated here.

[0080] Although it is not explicitly shown in some examples of the monitoring modes in Figures 3A and 3B, preferably, the starting point of the M future moments specified by each mode (i.e., the first moment of the M moments, also referred to as the monitoring starting moment) can be the moment when the predicted beam information can first be monitored from the monitoring trigger moment, for example, the predicted beam information corresponding to this moment is the monitoring starting point.

[0081] Optionally, the determining unit 210 may be further configured to determine predicted beam information as a monitoring starting point.

[0082] The determination unit 210 can determine the monitoring starting point in various ways. In one example, the determination unit 210 can be configured to determine the predicted beam information corresponding to the moment after a predetermined time from the monitoring trigger moment of the beam prediction model as the predicted beam information of the monitoring starting point. Preferably, the predetermined time here is determined based on the time required to measure all the predicted beams (e.g., N predicted beams) indicated by the predicted beam information at a future moment (e.g., the scanning time of N predicted beams), and can, for example, be equal to or slightly greater than the scanning time of N predicted beams. The above configuration of the determination unit 210 is conducive to accurately determining the earliest monitorable moment of the predicted beam information (i.e., the earliest moment that can ensure that the N predicted beams indicated by a piece of predicted beam information are completely measured).

[0083] Figures 4A and 4B illustrate an example of determining the monitoring start point using the aforementioned method. In this example, the beam prediction model outputs predicted beam information for F = 6 future time points F1 to F6 based on K times / K past measured beam information. These predicted beam information has validity periods or dwell times D1 to D6, respectively. Furthermore, during the beam dwell time D2 of the predicted beam information at time F2, a beam failure occurs at time M0, triggering the initiation of the monitoring mechanism.

[0084] In this example, the determination unit 210 can determine the predicted beam information corresponding to the moment as the monitoring starting point, depending on the effective time or residence time of the predicted beam information at which moment (M0+X1) after the scanning time X1 of the N predicted beams from the monitoring trigger moment M0 falls. That is, in the example of FIG4A , M0+X1 falls during the effective time D2 of moment F2, which means that the measurement of the N predicted beams indicated by the predicted beam information at moment F2 can be completed within the effective time D2 starting from M0. Therefore, the determination unit 210 can determine the predicted beam information at moment F2 as the monitoring starting point. Alternatively, in the example of FIG4B , M0+X1 falls during the effective time D3 of moment F3, which means that the measurement of the N predicted beams indicated by the predicted beam information at moment F2 cannot be completed within the effective time D2 starting from M0. Therefore, the determination unit 210 must determine the predicted beam information at moment F3 as the monitoring starting point at the earliest.

[0085] Note that although the above describes an example of determining the monitoring starting point based on the position of M0+X1, the present disclosure is not limited to this. In an alternative example, the determination unit 210 can directly use the predicted beam information of the moment corresponding to the monitoring trigger moment M0 (for example, moment F2) as the starting point, so as to ensure the execution speed of the monitoring. In this case, if it is not possible to complete the measurement of all predicted beams at the moment within the corresponding time (for example, the effective time D2 of moment F2), the measurement result of the predicted beam for which no result is obtained can be replaced with a predetermined value. In another alternative example, the predicted beam information of the next future moment (for example, moment F3) corresponding to the monitoring trigger moment M0 can also be directly used as the starting point, so as to ensure the accuracy of the monitoring.

[0086] Next, an example process in which the determination unit 210 determines the monitoring object based on the determined monitoring mode and monitoring starting point will be described with reference to Figures 5A to 5C. Figures 5A to 5C are schematic diagrams for illustrating an example process for determining the monitoring object based on the monitoring mode and the monitoring starting point, which respectively show examples of monitoring objects specified according to the first, second or third mode shown in Figure 3B and the monitoring starting point shown in Figure 4A (beam prediction information at time F2). In the examples of Figures 5A to 5C, the output of the beam prediction model is similar to that of Figures 4A and 4B, except that in the example of Figure 5C, because three predictions (three model outputs) are involved, suffixes -1, -2, and -3 are added to the relevant reference numerals of the future time and the effective time or the residence time for distinction.

[0087] In the examples of Figures 5A to 5C, the start of the supervision mechanism is triggered due to the beam failure within the residence time D2 of the beam prediction information at time F2, and the determination unit 210 determines that the monitoring starting point is F2, for example, through the example process described above with reference to Figure 4A, and determines different modes according to whether the current channel fading speed is in the first, third or third interval respectively, and accordingly specifies M=3 continuous or discrete monitoring objects starting from the monitoring starting point F2, and schematically shows the moments M1, M2, and M3 at which measurements (measurements of the predicted beam indicated by the monitoring object) can be performed within the residence time of each monitoring object to mark each monitoring object. That is, in the example of the first mode in Figure 5A, three consecutive future moments F2 to F4 starting from F2 are specified; in the example of the second mode in Figure 5B, three discrete future moments F2, F4 and F6 starting from F2 and separated by 1 moment from each other are specified; in the example of the third mode in Figure 5C, the earliest monitorable future moments F2-1, F1-2 and F1-3 in each of the three predictions are specified.

[0088] In the above manner, the determination unit 210 can determine the monitoring mode for the beam prediction model accordingly for different channel characteristics, such as channel fading rate, and indicate the future time corresponding to the predicted beam information of the monitoring object, so that the performance of the beam prediction model can be effectively supervised using the monitoring mode suitable for the current channel characteristics.

[0089] Optionally, the determining unit 210 may be further configured to determine the performance of the beam prediction model according to a measurement result of the predicted beam indicated by the predicted beam information as the monitoring object.

[0090] As an example, the measurement result for each of the N predicted beams indicated by the predicted beam information at a time point may be a beam quality, such as represented by RSRP. The determination unit 210 may compare the measurement results for the N predicted beams at a time point with the relevant information about the corresponding predicted beam indicated by the predicted beam information at that time point to determine the prediction accuracy of the N predicted beams at that monitoring time point. The determination unit 210 may determine the prediction accuracy of the beam prediction model as an indicator of model performance based on the prediction accuracy at each monitoring time point, i.e., the prediction accuracy of each monitored object.

[0091] In one example, the relevant information about each predicted beam in the predicted beam information may be predicted beam quality, such as expressed in RSRP. In this case, the determination unit 210 may directly calculate the difference between the measurement results of the N predicted beams at each monitoring moment and the predicted beam quality of the corresponding predicted beam indicated by the predicted beam information at that moment as an error, and determine the prediction accuracy of the prediction model based on the cumulative error or average error at each monitoring moment.

[0092] In another example, the relevant information about each predicted beam in the predicted beam information may be the probability of being the optimal beam (and optionally the relevant confidence) and / or other relevant information capable of determining the priority of the predicted beam. In this case, the determination unit 210 may directly determine the priority of the N predicted beams based on the measurement results of the N predicted beams at each monitoring moment (for example, the higher the measured beam quality, such as represented by RSRP, the higher the priority), and compare it with the priority of the corresponding predicted beam indicated by the predicted beam information at that moment (for example, the higher the probability of being the optimal beam, the higher the priority), and determine the prediction accuracy of the prediction model based on the cumulative error or average error of the priorities at each monitoring moment.

[0093] Optionally, the determination unit 210 can be further configured to determine that the prediction accuracy of the prediction model cannot meet the predetermined requirements when the cumulative error or average error at each monitoring moment is greater than the corresponding threshold, thereby determining that it is necessary to switch back to beam measurement, which will not be repeated here.

[0094] Note that in actual applications, the number of monitoring objects determined by determination unit 210 based on the monitoring mode and monitoring starting point may not meet the number specified by the monitoring mode. For example, in the first mode (a continuous mode specifying three consecutive moments) of FIG5A , assuming a beam failure occurs within dwell time D5 of the predicted beam information at time F5, only the predicted beam information at times F5 and F6 can be determined as two monitoring objects at most. In this case, determination unit 210 can, for example, perform corresponding monitoring based only on the two determined monitoring objects, which will not be further described here.

[0095] The above describes a basic configuration example of the electronic device 200 according to an embodiment of the present disclosure. Next, configuration examples and example processes of the electronic device 200 in different situations on the base station side and the terminal side will be further described.

[0096] [2.2 Configuration Example of Electronic Device Implemented on the Terminal Side]

[0097] First, consider an example case where the electronic device is implemented on the terminal side, for example but not limited to being implemented as a terminal device.

[0098] Figure 6 is a block diagram showing a configuration example of an electronic device implemented on the terminal side. As shown in Figure 6, the electronic device 600 of this configuration example may include a determination unit 610, a communication unit 620, and a storage unit 630, which respectively correspond to the determination unit 210, the communication unit 220, and the storage unit 230 of the electronic device 200 shown in Figure 2. The difference between the electronic device 600 and the electronic device 200 is that its determination unit 610, the communication unit 620, and the storage unit 630 can perform more additional operations on the basis of the corresponding units of the electronic device 200, and the electronic device 600 also includes an optional measurement unit 640 for beam measurement and a prediction unit 650 for beam prediction. The following description will focus on these differences and their related processing, including the configuration, processing, signaling interaction, etc. of the electronic device and its corresponding units.

[0099] (Reporting information related to the beam prediction model, etc.)

[0100] When implemented as an electronic device on the terminal side, the electronic device 600 is preferably deployed with a beam prediction model. That is, the electronic device 600 preferably pre-stores in the storage unit 630 a trained beam prediction model and a list of associated monitoring patterns and channel fading speed intervals, such as those shown in FIG. 3A and / or FIG. 3B .

[0101] In this case, preferably, when reporting the terminal device's capability information to the network device, the terminal-side electronic device 600 can use its communication unit 620 to include information related to the beam prediction model (which may indicate various information related to the beam prediction model, such as model parameters K and F) and information related to the monitoring mode list (which may indicate various information related to the monitoring mode list, such as in the table form below FIG. 3A and / or FIG. 3B ) in the capability information and report it together. FIG. 7 shows a flowchart of an example signaling interaction for an electronic device 600 to report capability information, where the terminal device UE has the functionality of the electronic device 600 and is served by a base station gNB.

[0102] (Beam prediction / acquisition of predicted beam information, etc.)

[0103] The electronic device 600 on the terminal side can perform beam prediction based on the beam prediction model through necessary interaction with the network side device to obtain predicted beam information. FIG8 shows a flowchart of an example signaling interaction for the electronic device 600 to perform beam prediction.

[0104] In the example of FIG8 , a terminal device UE having the functionality of an electronic device 600 can receive, for example, L downlink candidate beams sent by a base station gNB serving it through its communication unit 620, and measure these downlink candidate beams through its measurement unit 640. Thereafter, the UE can obtain, for example, predicted beam information for F future moments based on the measurement results (measured beam information) of the downlink candidate beams at the most recent K times / K past moments using the beam prediction model stored in the storage unit 630 through its prediction unit 650. Note that although the figure schematically illustrates only a single transmission and measurement of a downlink candidate beam, this process is repeated K times before the UE uses the beam prediction model for beam prediction, so that the UE can obtain the measured beam information for the most recent K times / K past moments required by the model.

[0105] Here, the predicted beam information at each future moment obtained by the UE using the beam prediction model may, for example, include or indicate the prediction information of the first N predicted beams among the L candidate beams. As an example, the prediction information of the N predicted beams at a future moment may, for example, include identification information of each predicted beam (such as a beam ID) and the beam quality of each predicted beam, such as represented by RSRP (e.g., L1-RSRP) (alternatively or additionally, as the probability of the optimal beam (and optionally related confidence) and / or other relevant information that can determine the priority of the predicted beam, etc.), and may also include the residence time of these N predicted beams.

[0106] In addition, the UE may also use its communication unit 620 to transmit the obtained predicted beam information for the F future time points to the gNB (a network-side device). Based on the received predicted beam information, the gNB may select one of the N predicted beams for each future time point as the optimal beam, such as, but not limited to, the predicted beam with the best beam quality (maximum RSRP). Optionally, the gNB may transmit optimal beam information indicating the selected optimal beam to the UE.

[0107] (Supervision of beam prediction models)

[0108] Determination of monitoring mode

[0109] During the dwell time of the optimal beam selected by the network-side device based on the predicted beam information (e.g., during the dwell time D2 at time F2 shown in FIG. 4A or FIG. 4B ), a beam failure of the downlink beam may occur. In this case, supervision of the beam prediction model will be triggered. In this case, the electronic device 600 can, for example, determine a monitoring mode corresponding to the current channel characteristics, such as the channel fading rate, through appropriate interaction with the network-side device.

[0110] FIG9 shows a flowchart of an example signaling interaction for the electronic device 600 to determine the monitoring mode.

[0111] In the example of FIG9 , a terminal device UE having the functionality of electronic device 600 can receive, via its communication unit 620, a predetermined downlink reference signal (such as, but not limited to, a Channel State Information-Reference Signal (CSI-RS)) transmitted by its serving base station gNB, and determine, via its determination unit 610, the current channel fading rate based on the received downlink reference signal in the manner previously described. The UE can then refer to a list of associated monitoring modes and channel fading rate intervals stored in storage unit 630 (such as the list shown in FIG3A or 3B ) through its determination unit 610, and determine, based on the interval to which the current channel fading rate belongs, the monitoring mode corresponding to the interval.

[0112] Optionally, the UE may also appropriately determine the predicted beam information as the monitoring starting point through the determination unit 610, for example, in the manner described above with reference to Figures 4A and 4B, which will not be repeated here.

[0113] Reporting of monitoring mode information, etc., and reception and measurement of downlink monitoring beams

[0114] Optionally, in order for the network side device to send a downlink monitoring beam for the predicted beam information as the supervision object for measurement, the determination unit 610 of the electronic device 600 can further generate monitoring mode information and optional monitoring starting point information, etc., and report this information to the network side device via the communication unit 600.

[0115] Specifically, for example, after determining the monitoring mode, the determination unit 610 of the electronic device 600 may further generate monitoring mode information indicating the determined monitoring mode, which may, for example, indicate identification information of the determined monitoring mode. For example, in the example of the monitoring mode list of FIG. 3A , the generated monitoring mode information may have a single bit form of 0 or 1 to indicate the first or second mode, respectively. In the example of the monitoring mode list of FIG. 3B , the generated monitoring mode information may have a bit sequence form of 00, 01, 10 to indicate the first, second, or third mode, respectively.

[0116] Optionally, the determination unit 610 may further generate monitoring start point information indicating the monitoring start point, which may indicate, for example, but is not limited to, identification information of the determined monitoring start point moment. For example, in an example where the value of parameter F of the beam prediction model stored and applied by the electronic device 600 is 6 (i.e., the model outputs predicted beam information for 6 future moments), the generated monitoring start point information may have a 3-bit bit sequence format to indicate one of the 6 moments F1 to F6, respectively.

[0117] The electronic device 600 can use its communication unit 620 to send monitoring mode information such as the above-mentioned form (and optional monitoring starting point information) to the network side device, so that the network side device can determine and send the corresponding downlink monitoring beam based on the predicted beam information and monitoring mode information (and optional pre-acquired beam prediction model related information and monitoring mode list related information, optional monitoring starting point information, etc.), that is, determine and send the predicted beam indicated by the predicted beam information of the monitoring object.

[0118] For example, in the case where the monitoring mode information sent by the electronic device 600 to the network side device indicates identification information of the monitoring mode, the network side device can determine the monitoring mode indicated by the identification information based on the pre-acquired monitoring mode list related information (for example, it can indicate a list in the form shown below Figure 3A or Figure 3B), and optionally determine the monitoring starting point based on the monitoring starting point information (combined with the pre-acquired beam prediction model related information), thereby determining each monitoring object starting from the monitoring starting point (that is, the future moment corresponding to the predicted beam information as the monitoring object). The specific process can be similar to the example processing previously described with reference to Figures 5A to 5C, and will not be repeated here. Then, the network side device can determine the N predicted beams specified by each predicted beam information as the monitoring object as the downlink monitoring beam at the corresponding moment, and send the corresponding downlink monitoring beam during the beam residence time of the predicted beam information.

[0119] Accordingly, the measurement unit 640 of the electronic device 600 can receive and measure the above-mentioned downlink monitoring beam determined and sent by the network side device based on the predicted beam information and the monitoring mode information. The measurement results of these downlink monitoring beams are the measurement results of the "predicted beam indicated by the predicted beam information as the monitoring object" previously described in the "2.1 Configuration Example" section, and can be used to determine the performance of the beam prediction model in the manner previously described. For example, the determination unit 610 of the electronic device 600 can determine the performance of the beam prediction model based on the above-mentioned measurement results; alternatively, the electronic device 600 can report the measurement results of the downlink monitoring beam to the network side device, for example, via the communication unit 620, so that the network side device can determine the performance of the beam prediction model. This embodiment does not limit the subject that ultimately determines the performance of the beam prediction model, and will not be repeated here.

[0120] Preferably, in order for the electronic device 600 on the terminal side to be able to measure the downlink monitoring beam, the network side device can also configure the measurement resources of the downlink monitoring beam for the terminal device based on the predicted beam information and the monitoring mode information and generate measurement configuration information accordingly. Here, the network side device can configure the frequency resources of the downlink monitoring beam in various ways, but the time resources configured for the downlink monitoring beam need to be within the beam residence time of the corresponding predicted beam information as the monitoring object. Accordingly, the communication unit 620 of the electronic device 600 can receive the measurement configuration information of the downlink monitoring beam generated by the network side device based on the predicted beam information and the monitoring mode information, and its measurement unit 640 can measure the downlink monitoring beam for the resources indicated by the measurement configuration information.

[0121] Next, two examples of the electronic device 600 receiving and measuring a downlink monitoring beam will be described in conjunction with different configurations of measurement resources of the downlink monitoring beam.

[0122] First, let's discuss the first example. In the first example, after determining the downlink monitoring beam of the terminal device based on the received predicted beam information and monitoring mode information, the network-side device can configure an aperiodic downlink reference signal resource set for the terminal-side electronic device 600 via RRC signaling to carry these downlink monitoring beams, and can simultaneously trigger, via a DCI command, the sequential transmission of each downlink reference signal in the resource set according to the corresponding designated time slot offset.

[0123] For example, the network side device can configure a non-periodic non-zero power CSI-RS (nzp-CSI-RS) resource set for the electronic device 600 on the terminal side. The resource set may include M subsets corresponding to M monitoring objects respectively, wherein the m-th subset includes N nzp-CSI-RSs, and the transmission beam of each nzp-CSI-RS corresponds to one of the N predicted beams indicated by the predicted beam information of the m-th monitoring object, that is, one of the N downlink monitoring beams to be transmitted during the beam dwell time corresponding to the m-th monitoring object, where m=1,…,M. Alternatively or similarly, each subset may also include N synchronization signal blocks (SSBs), which will not be expanded here.

[0124] In this case, the network side device can generate and send the configuration information of the nzp-CSI-RS resource set (i.e., the measurement configuration information of the downlink monitoring beam) to the electronic device 600 on the terminal side through RRC signaling, which can be in the form of CSI-measconfig IE (or alternatively in the form of CSI-reportconfig IE), wherein the measurement item is RSRP (L1-RSRP) and the measurement object (i.e., downlink resource) is the above-mentioned nzp-CSI-RS resource set.

[0125] Preferably, in this configuration, for each subset in the nzp-CSI-RS resource set, the network side device can configure the time resources of the N nzp-CSI-RS therein according to the measurement time required for the terminal side electronic device 600 to measure a single beam, so that the N nzp-CSI-RS in the current subset can be sent in sequence, and the interval between the transmission times of two temporally adjacent nzp-CSI-RS is equal to or slightly greater than the measurement time required to measure a single beam. The configuration of the above-mentioned time resources can be achieved, for example, but not limited to, by configuring the distance between the time slot offsets of each nzp-CSI-RS in each subset.

[0126] In addition, preferably, for the mth subset of the non-periodic nzp-CSI-RS resource set, the network side device can configure the time resources of the N nzp-CSI-RS therein according to the effective time or beam residence time corresponding to the mth monitoring object, so that the transmission time of each nzp-CSI-RS of the subset is within the above-mentioned effective time or beam residence time. As an example, the configuration of the above-mentioned time resources of the first subset can be, for example, but not limited to, by configuring the time slot offset of the first nzp-CSI-RS to be sent to 1 (that is, sent immediately after being triggered by the DCI command), and the configuration of the above-mentioned time resources of the mth subset thereafter can be achieved by configuring the appropriate distance between the time slot offset of the first nzp-CSI-RS to be sent and the time slot offset of the Nth nzp-CSI-RS to be sent in the m-1th subset, which will not be repeated here.

[0127] The M*N nzp-CSI-RSs of the above-mentioned non-periodic nzp-CSI-RS resource set can be simultaneously triggered by a DCI command indicating the resource set ID of the resource set sent by the network side device, and can be sent in sequence according to the configured time slot offset.

[0128] For example, the non-periodic nzp-CSI-RS resource set configured and triggered in the above manner can be applied to a continuous mode such as the first mode described previously, for example, but not limited to. For example, assuming that the network side device determines the predicted beam information from time F2 to F4 in the example of the first mode of Figure 5A as the monitoring object based on the predicted beam information and the monitoring mode information, it can configure an non-periodic nzp-CSI-RS resource set, which includes 3 subsets for supervision of the predicted beam information at time F2, F3 or F4, respectively, each subset including, for example, N=4 nzp-CSI-RS, which corresponds to one of the 4 predicted beams indicated by the predicted beam information at time F2, F3 or F4, respectively, and the time slot offset of each nzp-CSI-RS meets the requirements described above.

[0129] The electronic device 600 on the terminal side can use the communication unit 620 to receive the configuration information and DCI trigger command sent by the network side device immediately after the above-mentioned nzp-CSI-RS resource set configuration is completed. The electronic device 600 on the terminal side can use the communication unit 620 and the measurement unit 640 to receive and measure the downlink monitoring beam carried by the nzp-CSI-RS resource set according to the received configuration information of the above-mentioned nzp-CSI-RS resource set and the indication of the DCI trigger command.

[0130] FIG10 shows a signaling interaction process of a first example in which the electronic device 600 performs downlink monitoring beam reception and measurement.

[0131] As shown in Figure 10, a UE having the functionality of electronic device 600 transmits monitoring mode information (and optional monitoring start point information) to a serving base station gNB, which serves as a network-side device. The gNB can use this information, combined with previously received predicted beam information, to determine, for example, M*N downlink monitoring beams to be monitored. The gNB can configure, for these downlink monitoring beams, an aperiodic NZP-CSI-RS resource set, such as the one described above, as measurement resources, generate corresponding configuration information as measurement configuration information for the M*N downlink monitoring beams, and transmit it to the UE. The gNB can also transmit a DCI trigger command to the UE to trigger the resource set, and subsequently transmit the M*N downlink monitoring beams carried by the aperiodic NZP-CSI-RS resource set. Upon receiving the measurement configuration information and the corresponding DCI trigger command from the gNB, the UE can receive and perform measurements on the M*N downlink monitoring beams carried by the aperiodic NZP-CSI-RS resource set in accordance with the measurement configuration information and the DCI trigger command.

[0132] Next, a second example of receiving and measuring a downlink monitoring beam by the electronic device 600 is discussed. In the second example, after determining the downlink monitoring beam of the terminal device based on the received predicted beam information and monitoring mode information, the network-side device may configure multiple aperiodic downlink reference signal resources for the terminal-side electronic device 600 via RRC signaling for carrying these downlink monitoring beams, and may activate the corresponding downlink reference signal for each monitored object via a corresponding MAC CE command, for example, sequentially transmitting the reference signal according to the corresponding designated time slot offset.

[0133] Specifically, for example, the network-side device may configure M*N non-periodic nzp-CSI-RS resources for a total of M*N prediction beams of M monitoring objects, each of which indicates N prediction beams, wherein each nzp-CSI-RS resource may correspond to one of the M*N prediction beams, that is, one of the N downlink monitoring beams that should be sent during the beam dwell time corresponding to the mth monitoring object, where m=1,…,M, and each nzp-CSI-RS resource may be represented, for example, by a corresponding index from 1 to M*N. Alternatively or similarly, the network-side device may also configure M*N SSBs, which will not be expanded here.

[0134] In this case, the network side device can generate and send the configuration information of the nzp-CSI-RS resources (i.e., the measurement configuration information of the downlink monitoring beam) to the electronic device 600 on the terminal side through RRC signaling, which can be in the form of CSI-measconfig IE (or alternatively in the form of CSI-reportconfig IE), wherein the measurement item is RSRP (L1-RSRP) and the measurement object (i.e., the downlink resource) is the above-mentioned M*N nzp-CSI-RS.

[0135] Preferably, in this configuration, the network-side device can configure the time resources of the N nzp-CSI-RS for each monitored object, so that the N nzp-CSI-RS can be sent sequentially, and the interval between the transmission times of two temporally adjacent nzp-CSI-RS is equal to or slightly greater than the measurement time required to measure a single beam. The configuration of the above-mentioned time resources can be achieved, for example, but not limited to, by configuring the distance between the time slot offsets of the N nzp-CSI-RS for each monitored object.

[0136] The above-mentioned M*N non-periodic nzp-CSI-RSs can be activated accordingly via M MAC CEs sent by the network side device for M monitoring objects, respectively indicating the N nzp-CSI-RSs of the current monitoring object (that is, the N nzp-CSI-RSs of the current monitoring object are activated each time), and can be sent sequentially according to the configured time slot offset after activation. Here, preferably, the network side device can send the corresponding MAC CE activation message as early as possible within the beam residence time corresponding to each monitoring object to ensure that the measurement of the corresponding N downlink monitoring beams is completed as early as possible within the time.

[0137] Figure 11 shows an example of a MAC CE activation message that can be used in this example. In this example, there are M = 8 monitoring objects, each monitoring object (beam prediction information) indicates N = 4 predicted beams, and the network side device configures M*N = 32 non-periodic nzp-CSI-RS accordingly. As shown in Figure 11, in this case, a MAC CE activation message received by the electronic device 600 on the terminal side from the network side device via the communication unit 620 may include 4 8-bit bitmaps, that is, in Oct2 to Oct5, including 1-bit information for indicating whether the i-th nzp-CSI-RS among the configured 32 nzp-CSI-RS is selected, when its value is 1, it indicates that the i-th nzp-CSI-RS is selected, and when its value is 0, it indicates that the i-th nzp-CSI-RS is not selected (i = 1, 2, ..., 32). More specifically, the MAC CE message shown in FIG11 specifies that the 4th, 10th, 15th, and 27th nzp-CSI-RS (e.g., nzp-CSI-RS with corresponding indexes) are selected as resources for the four downlink monitoring beams for the current monitoring object via the 4-bit information with a value of 1 in Oct2, Oct3, and Oct5. It can be understood that the MAC CE activation message in FIG11 is only an example, and the number of 8-bit bitmaps included in the MAC CE can be appropriately selected based on the value of M*N to ensure that the selection of M*N downlink monitoring beams can be indicated, which will not be repeated here.

[0138] For example, the non-periodic nzp-CSI-RS resources configured and activated in the above manner can be applied to discrete modes such as the second or third modes described previously, for example, but not limited to. For example, assuming that the network side device determines the predicted beam information at moments F2, F4, and F6 in the example of the second mode of Figure 5B as the monitoring object based on the predicted beam information and the monitoring mode information, it can configure M*N=3*4=12 non-periodic nzp-CSI-RS, which respectively correspond to one of the four predicted beams indicated by the predicted beam information at moments F2, F4, or F6, and the time slot offset of each nzp-CSI-RS meets the requirements described above.

[0139] The electronic device 600 on the terminal side can use the communication unit 620 to receive the configuration information sent by the network side device immediately after the configuration of the above-mentioned M*N=12 nzp-CSI-RS is completed. Then, the electronic device 600 can use the communication unit 620 to receive the MAC CE activation message sent by the network side device as early as possible within the beam dwell time D2 of the predicted beam information at time F2, indicating the 4 nzp-CSI-RS configured for the predicted beam information at time F2. The electronic device 600 can use the communication unit 620 and the measurement unit 640 to receive and measure the downlink monitoring beams carried by the 4 nzp-CSI-RS activated and sent by the MAC CE activation message according to the configuration information of the 12 nzp-CSI-RSs received successively and the indication of the MAC CE activation message, so as to obtain the measurement result of the predicted beam information at time F2. Thereafter, the electronic device 600 on the terminal side may perform similar processing on the predicted beam information at time F4 and time F6 and similar interaction with the network side device to receive and measure the corresponding downlink monitoring beam.

[0140] FIG12 illustrates a signaling interaction process for a second example of downlink monitoring beam measurement performed by electronic device 600. The example of FIG12 differs from the example of FIG11 in that a UE having the functionality of electronic device 600 receives measurement configuration information for M*N NZP-CSI-RSs (rather than measurement configuration information for a single NZP-CSI-RS resource set) as measurement configuration information for M*N downlink monitoring modes from a serving base station gNB (gNB). Upon receiving an mth MAC CE message from the gNB for activating N NZP-CSI-RSs corresponding to the current mth monitoring object, the UE receives and performs measurements on the N downlink monitoring beams carried by the N NZP-CSI-RSs according to the measurement configuration information and the MAC CE message, until all measurements related to the M monitoring objects indicated by the M MAC CE messages (m=1, ..., M) are completed.

[0141] [2.3 Configuration Example of Electronic Devices Implemented on the Network Side]

[0142] Next, an example case where the electronic device is implemented on the network side, for example but not limited to being implemented as a base station, etc. is discussed.

[0143] FIG13 is a block diagram illustrating a configuration example of an electronic device implemented on the network side. As shown in FIG13 , electronic device 1300 of this configuration example may include a determination unit 1310, a communication unit 1320, and a storage unit 1330, which correspond to the determination unit 210, the communication unit 220, and the storage unit 230 of the electronic device shown in FIG2 , respectively. Electronic device 1300 differs from electronic device 200 in that its determination unit 1310, the communication unit 1320, and the storage unit 1330 can perform more additional operations based on the corresponding units of electronic device 200, and electronic device 1300 further includes an optional prediction unit 1340 for beam prediction and a configuration unit 1350 for configuring measurement resources for a downlink monitoring beam. The following description will focus on these differences and their related processing.

[0144] When the electronic device is implemented on the network side, the beam prediction model can be deployed on the network side or on the terminal side. This deployment difference may affect the manner in which the network-side electronic device 1300 obtains information related to the beam prediction model and beam prediction information, but will not substantially affect the subsequent supervision of the beam prediction model. Because in this configuration example, even when the beam prediction model is deployed on the terminal side, its supervision is performed by the network-side electronic device 1300. The following will first describe the configuration, processing, signaling interaction, and other aspects that may differ due to different deployments of the beam prediction model. The following will then describe the uniformly applicable supervision-related configuration, processing, signaling interaction, and other aspects that are substantially unaffected by the deployment of the beam prediction model.

[0145] (Obtaining information related to the beam prediction model, etc.)

[0146] In one example, the beam prediction model can be deployed in the electronic device 1300 on the network side. In this case, the storage unit 1330 of the electronic device 1300 can be configured to pre-store a trained beam prediction model (i.e., the storage unit 1330 has various relevant information of the beam prediction model, including but not limited to various model parameters, etc.) and a list of associated monitoring modes and channel fading speed intervals, such as those shown in FIG. 3A and / or FIG. 3B.

[0147] Alternatively, the beam prediction model can also be deployed on the terminal side. At this time, the electronic device 1300 on the network side can obtain the beam prediction model related information included in the capability information (which can indicate various information related to the beam prediction model, such as model parameters K and F) when using its communication unit 1320 to receive the capability information of the terminal device reported by the terminal device. An example signaling interaction in which the electronic device 1300 obtains the capability information reported by the terminal device can be roughly similar to the example shown in Figure 7. At this time, the base station gNB in ​​the figure can have the functions of the electronic device 1300 and serve the terminal device UE, but the reported capability information obtained from the UE only includes beam prediction model related information and does not include monitoring mode list related information.

[0148] The above-mentioned electronic device 1300 that does not have a beam prediction model can, for example, based on the beam prediction model related information received from the terminal device, use its determination unit 1310 to appropriately obtain a list of monitoring modes and channel fading speed intervals associated with each other such as shown in Figures 3A and / or 3B in the manner previously described, and store it in the storage unit 1330.

[0149] (Acquisition of prediction beam information, etc.)

[0150] The electronic device 1300 on the network side can obtain the predicted beam information output by the beam prediction model in an appropriate manner through necessary interaction with the terminal device, and optionally, the determination unit 1310 of the electronic device 1300 can be further configured to determine the optimal beam based on the obtained predicted beam information.

[0151] First, consider the case where the beam prediction model is deployed on the network side. In this case, the network-side electronic device 1300 can directly use the beam prediction model to obtain predicted beam information. Figure 14 shows a flowchart of an example signaling interaction for electronic device 1300 to perform beam prediction (and determine the optimal beam) in this case.

[0152] In the example of Figure 14 , a base station gNB having the functionality of electronic device 1300 can transmit, for example, L downlink candidate beams to a terminal device UE via its communication unit 1320, enabling the UE to measure these downlink candidate beams and receive the measurement results (measured beam information) of the downlink candidate beams reported by the UE. The gNB can then utilize its prediction unit 1340, using the beam prediction model stored in storage unit 1330, to obtain, for example, predicted beam information for F future time points based on the measurement results (measured beam information) of the downlink candidate beams at the most recent K times / K past time points. Note that while the figure schematically illustrates only a single transmission and measurement of downlink candidate beams, as well as the reporting of the measurement results, this process is repeated K times before the gNB uses the beam prediction model to perform beam prediction, allowing the gNB to obtain the measured beam information for the most recent K times / K past time points required by the model.

[0153] Here, the predicted beam information at each future time instant obtained by the gNB using the beam prediction model may, for example, include or indicate prediction information of the first N predicted beams among the L candidate beams. As an example, the prediction information of the N predicted beams at a future time instant may include identification information of each predicted beam (such as a beam ID) and beam quality of each predicted beam, such as represented by RSRP (e.g., L1-RSRP) (alternatively or additionally, as the probability of being the optimal beam (and optionally related confidence) and / or other related information capable of determining the priority of the predicted beam), and may also include the dwell times of the N predicted beams.

[0154] The gNB may, for example, utilize its determination unit 1310 to select one of the N predicted beams at each future time as the optimal beam based on the obtained predicted beam information for the F future time points, such as, but not limited to, the predicted beam with the best beam quality (maximum RSRP). Optionally, the gNB may utilize its communication unit 1320 to transmit optimal beam information indicating the selected optimal beam to the UE.

[0155] Furthermore, consider the case where the beam prediction model is deployed on the terminal side. In this case, the network-side electronic device 1300 can receive from the terminal device predicted beam information obtained by the terminal device using the beam prediction model. In this case, an example signaling interaction between the network-side electronic device 1300 and the terminal device to obtain the predicted beam information from the terminal device can be similar to the example shown in Figure 8. In this case, the base station gNB shown in Figure 8 can have the functions of the electronic device 1300 and serve the terminal device UE.

[0156] (Supervision of beam prediction models)

[0157] Determination of monitoring mode

[0158] After the electronic device 1300 on the network side obtains the predicted beam information in various appropriate ways and selects the optimal beam at each moment accordingly, a beam failure of the downlink beam may occur during the dwell time of the optimal beam (for example, during the dwell time D2 at the F2 moment shown in Figure 4A or Figure 4B). At this time, supervision of the beam prediction model will be triggered. In this case, the electronic device 1300 can, for example, determine a monitoring mode corresponding to the current channel characteristics such as the channel fading speed through appropriate interaction with the terminal device. This interaction can be independent of which side the beam prediction model is deployed on.

[0159] FIG15 shows a flowchart of an example signaling interaction for the electronic device 1300 to determine the monitoring mode.

[0160] In the example of FIG15 , a base station gNB having the functionality of electronic device 1300 may receive a predetermined uplink reference signal (such as, but not limited to, a sounding reference signal (SRS)) transmitted for a terminal device UE via its communication unit 1320, and determine a current channel fading rate based on the received uplink reference signal via its determination unit 1310 in the manner previously described. The gNB may then refer to a list of associated monitoring modes and channel fading rate intervals stored in its storage unit 1330 (such as the list shown in FIG3A or FIG3B ) via its determination unit 1310, and determine a monitoring mode corresponding to the interval to which the current channel fading rate belongs.

[0161] Optionally, the base station gNB can also appropriately determine the predicted beam information as the monitoring starting point through the determination unit 1310, for example, in the manner described above with reference to Figures 4A and 4B, which is not repeated here.

[0162] Downlink monitoring beam transmission and resource allocation

[0163] Optionally, the determination unit 1310 of the electronic device 1300 on the network side may be further configured to determine a corresponding downlink monitoring beam based on the acquired predicted beam information and the determined monitoring mode (and optionally the determined monitoring starting point), that is, to determine the predicted beam indicated by the predicted beam information as the monitoring object. The communication unit 1320 may be further configured to send the downlink monitoring beam to the terminal device. In addition, the communication unit 1320 may be further configured to receive the measurement results of the terminal device on these downlink monitoring beams.

[0164] For example, the determination unit 1310 can determine, for example, each monitoring object starting from the monitoring starting point (i.e., the future moment corresponding to the predicted beam information of the monitoring object) based on the determined monitoring mode and optionally based on the determined monitoring starting point. The specific process can be similar to the example processing previously described with reference to Figures 5A to 5C, and will not be repeated here. The determination unit 1310 can determine the N predicted beams specified by each piece of predicted beam information as the monitoring object as the downlink monitoring beams at the corresponding moment, and the communication unit 1320 can send the corresponding downlink monitoring beam during the beam dwell time of the predicted beam information, so that the terminal device can perform corresponding measurements and report its measurement results.

[0165] The measurement results of the above-mentioned downlink monitoring beam are the measurement results of the "predicted beam indicated by the predicted beam information as the monitoring object" previously described in the "2.1 Configuration Example" section, and the determination unit 1310 of the electronic device 1300 can determine the performance of the beam prediction model based on the above-mentioned measurement results in the manner described previously, which will not be repeated here.

[0166] Preferably, in order for the terminal device to be able to measure the downlink monitoring beam, the configuration unit 1350 of the electronic device 1300 can be configured to configure the measurement resources of the downlink monitoring beam for the terminal device based on the acquired predicted beam information and the determined monitoring mode, and the configuration unit 1350 can be further configured to generate measurement configuration information indicating the measurement resources of the downlink monitoring beam. Here, the configuration unit 1350 can configure the frequency resources of the downlink monitoring beam in various ways, but the time resources configured for the downlink monitoring beam need to be within the beam residence time of the corresponding predicted beam information as the monitoring object. The communication unit 1320 of the electronic device 1300 can be further configured to send measurement configuration information indicating the measurement resources of the downlink monitoring beam to the terminal device, so that the terminal device can measure the downlink monitoring beam for the resources indicated by the measurement configuration information.

[0167] Next, two examples of electronic device 1300 sending a downlink monitoring beam for terminal device measurement will be described in conjunction with different configurations of measurement resources for the downlink monitoring beam. Note that the processing and interactions involved in these examples may be independent of which side the beam prediction model is deployed on.

[0168] First, let's discuss the first example. In the first example, after determining the downlink monitoring beam of the terminal device based on the acquired predicted beam information and the determined monitoring mode, the electronic device 1300 may configure an aperiodic downlink reference signal resource set for the terminal device via RRC signaling to carry the downlink monitoring beam, and may simultaneously trigger, via a DCI command, the sequential transmission of each downlink reference signal in the resource set according to a corresponding designated time slot offset.

[0169] For example, the configuration unit 1350 can configure an nzp-CSI-RS resource set for the terminal device. The resource set may include M subsets corresponding to M monitoring objects, respectively, wherein the m-th subset includes N nzp-CSI-RSs, and the transmit beam of each nzp-CSI-RS corresponds to one of the N predicted beams indicated by the predicted beam information of the m-th monitoring object, that is, one of the N downlink monitoring beams to be transmitted during the beam dwell time corresponding to the m-th monitoring object, where m=1,…,M. Alternatively or similarly, each subset may also include N SSBs, which will not be expanded here.

[0170] In this case, the electronic device 1300 can use the configuration unit 1350 to generate and send the configuration information of the nzp-CSI-RS resource set (i.e., the measurement configuration information of the downlink monitoring beam) to the terminal device through RRC signaling via the communication unit 1320, which can be in the form of CSI-measconfig IE (or alternatively in the form of CSI-reportconfig IE), wherein the measurement item is RSRP (L1-RSRP) and the measurement object (i.e., downlink resource) is the above-mentioned nzp-CSI-RS resource set.

[0171] Preferably, in this configuration mode, for each subset in the nzp-CSI-RS resource set, the configuration unit 1350 can configure the time resources of the N nzp-CSI-RS therein according to the measurement time required for the terminal device to measure a single beam, so that the N nzp-CSI-RS in the current subset can be sent in sequence, and the interval between the transmission times of two temporally adjacent nzp-CSI-RS is equal to or slightly greater than the measurement time required to measure a single beam. The configuration of the above-mentioned time resources can be achieved, for example, but not limited to, by configuring the distance between the time slot offsets of each nzp-CSI-RS in each subset.

[0172] In addition, preferably, for the mth subset of the non-periodic nzp-CSI-RS resource set, the configuration unit 1350 can configure the time resources of the N nzp-CSI-RSs therein according to the effective time or beam dwell time corresponding to the mth monitoring object, so that the transmission time of each nzp-CSI-RS of the subset is within the above-mentioned effective time or beam dwell time. As an example, the configuration of the above-mentioned time resources of the first subset can be, for example, but not limited to, by configuring the time slot offset of the first nzp-CSI-RS to be transmitted to 1 (that is, immediately transmitted after being triggered by the DCI command), and the configuration of the above-mentioned time resources of the mth subset thereafter can be achieved by configuring the time slot offset of the first nzp-CSI-RS to be transmitted and the time slot offset of the Nth nzp-CSI-RS to be transmitted in the m-1th subset to be appropriately distanced, which will not be repeated here.

[0173] The M*N nzp-CSI-RSs of the above-mentioned non-periodic nzp-CSI-RS resource set can be generated by the configuration unit 1350 and triggered simultaneously by sending a DCI command indicating the resource set ID of the resource set using the communication unit 1320, and can be sent sequentially according to the configured time slot offset.

[0174] For example, the non-periodic nzp-CSI-RS resource set configured and triggered in the above manner can be, for example, but not limited to, applied to a continuous mode such as the first mode described previously. For example, assuming that the determination unit 1310 of the electronic device 1300 determines the predicted beam information at moments F2 to F4 in the example of the first mode of Figure 5A as a monitoring object based on the acquired predicted beam information and the determined monitoring mode, the configuration unit 1350 of the electronic device 1300 can configure an non-periodic nzp-CSI-RS resource set, which includes 3 subsets for supervision of the predicted beam information at moments F2, F3 or F4, respectively, each subset including, for example, N=4 nzp-CSI-RSs, which correspond to one of the 4 predicted beams indicated by the predicted beam information at moments F2, F3 or F4, respectively, and the time slot offset of each nzp-CSI-RS meets the requirements described above.

[0175] After the configuration unit 1350 completes the configuration of the above-mentioned NZP-CSI-RS resource set, the electronic device 1300 can immediately send the corresponding configuration information and DCI trigger command generated by the configuration unit 1350 via the communication unit 1320, and send the downlink monitoring beam carried by the above-mentioned NZP-CSI-RS resource set. The terminal device will receive and measure the downlink monitoring beam carried by the NZP-CSI-RS resource set according to the received configuration information of the above-mentioned NZP-CSI-RS resource set and the instruction of the DCI trigger command.

[0176] FIG16 shows a signaling interaction process of a first example of configuration and transmission of a downlink monitoring beam by the electronic device 1300 .

[0177] As shown in FIG16 , a gNB having the functionality of electronic device 1300 may determine, using its determination unit 1310, M monitoring targets, such as M*N downlink monitoring beams, based on the acquired predicted beam information and the determined monitoring mode (and optional monitoring starting point). The gNB may configure, using its configuration unit 1350, the aperiodic NZP-CSI-RS resource set described above, as measurement resources for these downlink monitoring beams, generate corresponding configuration information as measurement configuration information for the M*N downlink monitoring beams, and transmit this information to the UE using its communication unit 1320. The gNB may also transmit, using its communication unit 1320, a DCI trigger command to trigger the resource set to the UE, and subsequently transmit the M*N downlink monitoring beams carried by the aperiodic NZP-CSI-RS resource set. Upon receiving the measurement configuration information and the corresponding DCI trigger command from the gNB, the UE may receive and perform measurements on the M*N downlink monitoring beams carried by the aperiodic NZP-CSI-RS resource set in accordance with the measurement configuration information and the DCI trigger command. In addition, the gNB can also use its communication unit 1320 to receive measurement results reported by the UE.

[0178] Next, a second example of configuring and transmitting a downlink monitoring beam by the electronic device 1300 is discussed. In the second example, after determining the downlink monitoring beam of the terminal device based on the acquired predicted beam information and the determined monitoring mode, the electronic device 1300 may configure multiple non-periodic downlink reference signal resources for the terminal-side electronic device 1300 via RRC signaling for carrying these downlink monitoring beams, and may activate the corresponding downlink reference signal for each monitored object via the corresponding MAC CE command, for example, to transmit them sequentially according to the corresponding designated time slot offset.

[0179] Specifically, for example, the configuration unit 1350 of the electronic device 1300 can configure M*N non-periodic nzp-CSI-RS resources for a total of M*N prediction beams of the determined M monitoring objects, each indicating N prediction beams, wherein each nzp-CSI-RS resource can correspond to one of the M*N prediction beams, that is, one of the N downlink monitoring beams that should be sent during the beam dwell time corresponding to the mth monitoring object, where m=1,…,M, and each nzp-CSI-RS resource can be represented, for example, by a corresponding index from 1 to M*N. Alternatively or similarly, the network-side device can also configure M*N SSBs, which will not be expanded here.

[0180] In this case, the electronic device 1300 can use the configuration unit 1350 to generate and send the configuration information of the nzp-CSI-RS resources (i.e., the measurement configuration information of the downlink monitoring beam) to the electronic device 1300 on the terminal side through RRC signaling via the communication unit 1320, which can be in the form of CSI-measconfig IE (or alternatively in the form of CSI-reportconfig IE), wherein the measurement item is RSRP (L1-RSRP) and the measurement object (i.e., downlink resource) is the above-mentioned M*N nzp-CSI-RS.

[0181] Preferably, in this configuration, the configuration unit 1350 can configure the time resources of the N nzp-CSI-RS for each monitored object, so that the N nzp-CSI-RS can be sent sequentially, and the interval between the transmission times of two temporally adjacent nzp-CSI-RS is equal to or slightly greater than the measurement time required to measure a single beam. The configuration of the above-mentioned time resources can be achieved, for example, but not limited to, by configuring the distance between the time slot offsets of the N nzp-CSI-RS of each monitored object.

[0182] The above-mentioned M*N non-periodic nzp-CSI-RSs can be generated for M monitoring objects by the configuration unit 1350 and activated accordingly by using the communication unit 1320 to send M MAC CEs respectively indicating the N nzp-CSI-RSs of the current monitoring object (that is, the N nzp-CSI-RSs of the current monitoring object are activated each time), and can be sent sequentially according to the configured time slot offset after activation. Here, preferably, the corresponding MAC CE activation message generated by the configuration unit 1350 can be sent as early as possible using the communication unit 1320 within the beam dwell time corresponding to each monitoring object to ensure that the measurement of the corresponding N downlink monitoring beams is completed as early as possible within the time. An example of a MAC CE activation message generated by the configuration unit 1350 in this example can have a form similar to that shown in Figure 11, which will not be repeated here.

[0183] For example, the non-periodic nzp-CSI-RS resources configured and activated in the above manner can be, for example, but not limited to, applied to discrete modes such as the second or third modes described previously. For example, assuming that the determination unit 1310 of the electronic device 1300 determines the predicted beam information at moments F2, F4, and F6 in the example of the second mode of FIG. 5B as the monitoring object based on the acquired predicted beam information and the determined monitoring mode, its configuration unit 1350 can configure M*N=3*4=12 non-periodic nzp-CSI-RS, which respectively correspond to one of the four predicted beams indicated by the predicted beam information at moments F2, F4, or F6, and the time slot offset of each nzp-CSI-RS meets the requirements described above.

[0184] After the configuration unit 1350 completes the configuration of the M*N=12 nzp-CSI-RSs, the electronic device 1300 may immediately send the configuration information generated by the configuration unit 1350 to the terminal device via the communication unit 1320. Then, for example, the electronic device 1300 may send a MAC CE activation message generated by the configuration unit 1350 to the terminal device as soon as possible within the beam dwell time D2 of the predicted beam information at time F2 via the communication unit 1320, thereby activating the four nzp-CSI-RSs and sending the downlink monitoring beams carried by them. The terminal device will receive and measure the downlink monitoring beams carried by the four nzp-CSI-RSs according to the previously received configuration information of the 12 nzp-CSI-RSs and the indication of the currently received MAC CE activation message, as the measurement result for the predicted beam information at time F2. Thereafter, the electronic device 1300 may perform similar processing on the predicted beam information at time F4 and time F6 and similar interaction with the terminal device to send and measure the corresponding downlink monitoring beam.

[0185] FIG17 shows a second example signaling interaction process of the electronic device 1300 configuring and sending a downlink monitoring beam.

[0186] The example of FIG17 differs from the example of FIG16 in that, in the example, the gNB having the functionality of the electronic device 1300 uses its configuration unit 1350 to configure the M*N NZP-CSI-RSs, such as described above, as measurement resources for the M*N downlink monitoring beams and generates corresponding configuration information as measurement configuration information for the M*N downlink monitoring beams. Thereafter, the gNB uses its communication unit 1320 to send the corresponding mth MAC CE message generated by the configuration unit 1350 within the beam dwell time corresponding to the current mth monitoring object (e.g., as early as possible) to activate the N NZP-CSI-RSs corresponding to the current monitoring object and transmit the N downlink monitoring beams carried by the N NZP-CSI-RSs. After receiving the MAC CE message, the terminal device can receive and perform measurements on the N downlink monitoring beams carried by the N NZP-CSI-RSs indicated in the MAC CE message according to the measurement configuration information until measurements associated with all M monitoring objects indicated by the M MAC CE messages (m=1, ..., M) are completed.

[0187] The gNB may utilize its communication unit 1320 to receive the measurement results of each downlink monitoring beam reported by the UE. Note that although FIG17 illustrates the UE reporting the measurement results once after completing the measurement of all downlink monitoring beams, this example is not limited thereto. For example, the UE may, but is not limited to, report the measurement results each time it completes the measurement of the N downlink monitoring beams currently being monitored. This description is omitted here.

[0188] The above describes configuration examples of electronic devices and example processing performed thereon according to embodiments of the present disclosure, and describes example configurations and example processing of the electronic device 600 implemented on the terminal side and the electronic device 1300 implemented on the network side, respectively. Based on the above description, some of the example processing of the electronic device 600 and the electronic device 1300 described above may be combined or replaced with each other where appropriate, and such combinations and / or replacements are also within the scope of the present disclosure.

[0189] In addition, in the above description of the electronic device of the embodiment of the present disclosure, in addition to the processing performed by the electronic device 600 implemented on the terminal side and the electronic device 1300 implemented on the network side, the interaction between the electronic device 600 on the terminal side and the network side device, and the interaction between the electronic device 1300 on the network side and the terminal device are also described. In other words, the present disclosure not only provides an electronic device capable of supervising a beam prediction model, but also correspondingly discloses another device that interacts with the electronic device. The other device is also included in the present disclosure and will not be described in detail here.

[0190] <3. Method Example>

[0191] Corresponding to the above-mentioned device embodiments, the present disclosure provides the following method embodiments.

[0192] FIG18 is a flowchart illustrating a process example of a method for wireless communication according to an embodiment of the present disclosure.

[0193] As shown in FIG18 , in step S1801 , a monitoring mode of a beam prediction model for obtaining predicted beam information at future moments based on measured beam information may be determined based on channel characteristics. The monitoring mode indicates the future moment corresponding to the predicted beam information as a monitoring object.

[0194] As an example, the channel characteristics may include a channel fading rate.

[0195] Optionally, although not shown in the figure, the method of one embodiment may further include: determining a current channel fading rate based on the received predetermined reference signal. Accordingly, in step S1801, based on one of the multiple predetermined intervals to which the current channel fading rate belongs, one of the multiple monitoring patterns corresponding to the interval may be determined.

[0196] As an example, multiple predetermined intervals of channel fading speed and multiple monitoring modes can be preconfigured. Among the multiple predetermined intervals, the channel fading speed in a first interval can be greater than the channel fading speed in a second interval. In the multiple monitoring modes, the correlation between multiple future time points of the multiple pieces of predicted beam information indicated by a first mode corresponding to the first interval can be greater than the correlation between multiple future time points of the multiple pieces of predicted beam information indicated by a second mode corresponding to the second interval.

[0197] As an example, the above-mentioned monitoring modes may include: a first monitoring mode indicating continuous future moments; and a second monitoring mode indicating discrete future moments.

[0198] Optionally, the above-mentioned second monitoring mode may include: a first mode, which indicates the future moment corresponding to the predicted beam information obtained by the beam prediction model based on the measurement beam information at the same past moment; and a second mode, which indicates the future moment corresponding to the predicted beam information obtained by the beam prediction model based on the measurement beam information at different past moments.

[0199] Optionally, although not shown in the figure, the method of one embodiment may further include determining predicted beam information as a monitoring starting point. For example, predicted beam information corresponding to a time point that has elapsed a predetermined time from the monitoring trigger time of the beam prediction model may be determined as the predicted beam information at the monitoring starting point. As an example, the predetermined time may be determined based on the time required to measure all predicted beams indicated by the predicted beam information at a future time point.

[0200] Optionally, although not shown in the figures, the method of an embodiment may further include: determining the performance of the beam prediction model based on a measurement result of the predicted beam indicated by the predicted beam information as the monitoring object.

[0201] In one implementation, the method of this embodiment may be implemented on the terminal side and may be executed, for example, by the terminal device. In this case, the beam prediction model may be deployed, for example, in the terminal device.

[0202] Optionally, although not shown in the figure, the method of an embodiment may further include: obtaining predicted beam information using a beam prediction model, and sending the obtained predicted beam information to a network-side device.

[0203] Optionally, although not shown in the figure, the method of an embodiment may also include: sending monitoring mode information indicating the determined monitoring mode to the network side device; and measuring the downlink monitoring beam sent by the network side device based on the predicted beam information and the monitoring mode information.

[0204] Optionally, although not shown in the figure, the method of an embodiment may further include: receiving measurement configuration information for a downlink monitoring beam generated by a network-side device based on the predicted beam information and the monitoring mode information. Accordingly, the downlink monitoring beam may be measured for the resources indicated by the measurement configuration information.

[0205] Optionally, although not shown in the figure, the method of an embodiment may further include: reporting the measurement result of the downlink monitoring beam to the network side device. In this case, the final determination of the model performance may be performed by the network side device.

[0206] In another implementation, the method of this embodiment can be implemented on the network side and can be executed, for example, by a network-side device. In this case, the beam prediction model can be deployed on the network side or on the terminal side, without any special restrictions here, and appropriate processing can be performed accordingly.

[0207] Optionally, although not shown in the figure, the method of an embodiment may further include: obtaining predicted beam information output by the beam prediction model. Here, depending on the deployment of the beam prediction model, the predicted beam information may be obtained directly using the beam prediction model, or the receiving terminal device may obtain the predicted beam information using the beam prediction model.

[0208] Optionally, although not shown in the figure, the method of an embodiment may also include: sending a downlink monitoring beam to the terminal device based on the obtained predicted beam information and the determined monitoring mode; and receiving the measurement results of the downlink monitoring beam by the terminal device.

[0209] Optionally, although not shown in the figure, the method of an embodiment may further include: configuring measurement resources for a downlink monitoring beam for the terminal device based on the obtained predicted beam information and the determined monitoring mode. Accordingly, the network-side device may utilize the configured resources to send the downlink monitoring beam to the terminal device. Optionally, the method of an embodiment may further include: generating and sending measurement configuration information indicating the measurement resources for the downlink monitoring beam to the terminal device.

[0210] According to an embodiment of the present disclosure, the subject executing the above method may be the electronic device 200, 600 or 1300 according to an embodiment of the present disclosure, and therefore all the embodiments of the electronic device 200, 600 or 1300 in the foregoing text are applicable hereto.

[0211] <4. Application Examples>

[0212] The technology of the present disclosure can be applied to various products.

[0213] For example, when the electronic device is implemented on the base station side, the electronic device can be implemented as any type of base station device, such as a macro eNB and a small eNB, and can also be implemented as any type of gNB (a base station in a 5G system). A small eNB can be an eNB that covers a cell smaller than a macro cell, such as a pico eNB, a micro eNB, and a home (femto) eNB. Alternatively, the base station can be implemented as any other type of base station, such as a NodeB and a base transceiver station (BTS). The base station may include: a main body (also referred to as a base station device) configured to control wireless communications; and one or more remote radio heads (RRHs) arranged at a location different from the main body.

[0214] Furthermore, the electronic device on the base station side can also be implemented as any type of TRP. This TRP can have both sending and receiving functions, for example, it can receive information from user equipment and base station equipment, and can also send information to user equipment and base station equipment. In a typical example, the TRP can provide services to user equipment and be controlled by the base station equipment. Furthermore, the TRP can have a structure similar to the base station equipment, or it can only have the structures of the base station equipment related to sending and receiving information.

[0215] When the electronic device is implemented on the terminal device side, the electronic device can be various user devices, which can be implemented as terminal devices (such as smart phones, tablet personal computers (PCs), notebook PCs, portable game terminals, portable / dongle-type mobile routers, and digital camera devices) or vehicle-mounted terminals (such as car navigation devices). The user device can also be implemented as a terminal that performs machine-to-machine (M2M) communication (also known as a machine-type communication (MTC) terminal). In addition, the user device can be a wireless communication module (such as an integrated circuit module including a single chip) installed on each of the above-mentioned user devices.

[0216] [Application examples for base stations]

[0217] (First application example)

[0218] 19 is a block diagram showing a first example of a schematic configuration of an eNB to which the technology of the present disclosure can be applied. The eNB 1800 includes one or more antennas 1810 and a base station device 1820. The base station device 1820 and each antenna 1810 can be connected to each other via an RF cable.

[0219] Each of the antennas 1810 includes a single or multiple antenna elements (such as multiple antenna elements included in a multiple-input multiple-output (MIMO) antenna) and is used for base station device 1820 to transmit and receive wireless signals. As shown in FIG19 , eNB 1800 may include multiple antennas 1810. For example, multiple antennas 1810 may be compatible with multiple frequency bands used by eNB 1800. Although FIG19 shows an example in which eNB 1800 includes multiple antennas 1810, eNB 1800 may also include a single antenna 1810.

[0220] The base station device 1820 includes a controller 1821 , a memory 1822 , a network interface 1823 , and a wireless communication interface 1825 .

[0221] The controller 1821 may be, for example, a CPU or a DSP, and operates various functions of the higher layers of the base station device 1820. For example, the controller 1821 generates data packets based on the data in the signal processed by the wireless communication interface 1825, and transmits the generated packets via the network interface 1823. The controller 1821 may bundle data from multiple baseband processors to generate bundled packets, and transmit the generated bundled packets. The controller 1821 may have logic functions for performing the following controls: the control may be radio resource control, radio bearer control, mobility management, admission control, and scheduling. The control may be performed in conjunction with a nearby eNB or core network node. The memory 1822 includes RAM and ROM, and stores programs executed by the controller 1821 and various types of control data (such as a terminal list, transmission power data, and scheduling data).

[0222] The network interface 1823 is a communication interface for connecting the base station device 1820 to the core network 1824. The controller 1821 can communicate with the core network node or another eNB via the network interface 1823. In this case, the eNB 1800 and the core network node or other eNB can be connected to each other through a logical interface (such as an S1 interface and an X2 interface). The network interface 1823 can also be a wired communication interface or a wireless communication interface for a wireless backhaul line. If the network interface 1823 is a wireless communication interface, the network interface 1823 can use a higher frequency band for wireless communication than the frequency band used by the wireless communication interface 1825.

[0223] The wireless communication interface 1825 supports any cellular communication scheme, such as Long Term Evolution (LTE) and LTE-Advanced, and provides wireless connectivity to terminals located in the cell of the eNB 1800 via the antenna 1810. The wireless communication interface 1825 may typically include, for example, a baseband (BB) processor 1826 and RF circuitry 1827. The BB processor 1826 can perform various signal processing functions, such as encoding / decoding, modulation / demodulation, and multiplexing / demultiplexing, and performs various types of signal processing for layers such as Layer 1 (L1), Medium Access Control (MAC), Radio Link Control (RLC), and Packet Data Convergence Protocol (PDCP). In place of the controller 1821, the BB processor 1826 may perform some or all of the aforementioned logical functions. The BB processor 1826 may be a memory that stores communication control programs, or a module including a processor configured to execute programs and associated circuitry. Program updates can modify the functionality of the BB processor 1826. This module may be a card or blade inserted into a slot in the base station device 1820. Alternatively, the module may be a chip mounted on the card or blade. Meanwhile, the RF circuit 1827 may include, for example, a mixer, a filter, and an amplifier, and transmit and receive wireless signals via the antenna 1810 .

[0224] As shown in FIG19 , the wireless communication interface 1825 may include multiple BB processors 1826. For example, multiple BB processors 1826 may be compatible with multiple frequency bands used by the eNB 1800. As shown in FIG19 , the wireless communication interface 1825 may include multiple RF circuits 1827. For example, multiple RF circuits 1827 may be compatible with multiple antenna elements. Although FIG19 illustrates an example in which the wireless communication interface 1825 includes multiple BB processors 1826 and multiple RF circuits 1827, the wireless communication interface 1825 may also include a single BB processor 1826 or a single RF circuit 1827.

[0225] In the eNB 1800 shown in FIG. 19 , the communication unit in the electronic device 200 or 1300 described above with reference to FIG. 2 and FIG. 13 may be implemented via a wireless communication interface 1825 and an optional antenna 1810. At least some of the functions of the determination unit in the electronic device 200 or 1300, and the functions of the prediction unit and configuration unit in the electronic device 1300, may be implemented via a controller 1821. For example, the controller 1821 may implement at least some of the functions of the determination unit, the prediction unit, and / or the configuration unit by executing instructions stored in a memory 1822. The functions of the storage unit in the electronic device 200 or 1300 may also be implemented via the memory 1822.

[0226] (Second application example)

[0227] FIG20 is a block diagram illustrating a second example of a schematic configuration of an eNB to which the techniques of this disclosure may be applied. An eNB 1930 includes one or more antennas 1940, a base station 1950, and an RRH 1960. The RRH 1960 and each antenna 1940 may be connected to each other via an RF cable. The base station 1950 and the RRH 1960 may be connected to each other via a high-speed line such as an optical fiber cable.

[0228] Each of the antennas 1940 includes a single or multiple antenna elements (such as multiple antenna elements included in a MIMO antenna) and is used for RRH 1960 to transmit and receive wireless signals. As shown in FIG20 , eNB 1930 may include multiple antennas 1940. For example, multiple antennas 1940 may be compatible with multiple frequency bands used by eNB 1930. Although FIG20 shows an example in which eNB 1930 includes multiple antennas 1940, eNB 1930 may also include a single antenna 1940.

[0229] Base station device 1950 includes a controller 1951, a memory 1952, a network interface 1953, a wireless communication interface 1955, and a connection interface 1957. Controller 1951, memory 1952, and network interface 1953 are the same as controller 1821, memory 1822, and network interface 1823 described with reference to FIG.

[0230] The wireless communication interface 1955 supports any cellular communication scheme (such as LTE and LTE-Advanced) and provides wireless communication to terminals located in the sector corresponding to the RRH 1960 via the RRH 1960 and the antenna 1940. The wireless communication interface 1955 may generally include, for example, a BB processor 1956. The BB processor 1956 is identical to the BB processor 1826 described with reference to FIG. 19 , except that the BB processor 1956 is connected to the RF circuit 1964 of the RRH 1960 via a connection interface 1957. As shown in FIG. 20 , the wireless communication interface 1955 may include multiple BB processors 1956. For example, the multiple BB processors 1956 may be compatible with multiple frequency bands used by the eNB 1930. Although FIG. 20 illustrates an example in which the wireless communication interface 1955 includes multiple BB processors 1956, the wireless communication interface 1955 may also include a single BB processor 1956.

[0231] The connection interface 1957 is an interface for connecting the base station device 1950 (wireless communication interface 1955) to the RRH 1960. The connection interface 1957 may also be a communication module for connecting the base station device 1950 (wireless communication interface 1955) to the RRH 1960 for communication in the high-speed line.

[0232] The RRH 1960 includes a connection interface 1961 and a wireless communication interface 1963 .

[0233] The connection interface 1961 is an interface for connecting the RRH 1960 (wireless communication interface 1963) to the base station device 1950. The connection interface 1961 may also be a communication module for communication in the above-mentioned high-speed line.

[0234] The wireless communication interface 1963 transmits and receives wireless signals via the antenna 1940. The wireless communication interface 1963 may generally include, for example, an RF circuit 1964. The RF circuit 1964 may include, for example, a mixer, a filter, and an amplifier, and transmits and receives wireless signals via the antenna 1940. As shown in FIG. 20 , the wireless communication interface 1963 may include multiple RF circuits 1964. For example, the multiple RF circuits 1964 may support multiple antenna elements. Although FIG. 20 shows an example in which the wireless communication interface 1963 includes multiple RF circuits 1964, the wireless communication interface 1963 may also include a single RF circuit 1964.

[0235] In the eNB 1930 shown in FIG. 20 , the communication unit in the electronic device 200 or 1300 described previously with reference to FIG. 2 and FIG. 13 may be implemented, for example, via the wireless communication interface 1963 and the optional antenna 1940. At least some of the functions of the determination unit in the electronic device 200 or 1300, and the functions of the prediction unit and configuration unit in the electronic device 1300, may be implemented by the controller 1951. For example, the controller 1951 may implement at least some of the functions of the determination unit, the prediction unit, and / or the configuration unit by executing instructions stored in the memory 1952. The functions of the storage unit in the electronic device 200 or 1300 may also be implemented by the memory 1952.

[0236] [Application examples on user devices]

[0237] (First application example)

[0238] 21 is a block diagram showing an example of a schematic configuration of a smartphone 2000 to which the technology of the present disclosure can be applied. The smartphone 2000 includes a processor 2001, a memory 2002, a storage device 2003, an external connection interface 2004, a camera 2006, a sensor 2007, a microphone 2008, an input device 2009, a display device 2010, a speaker 2011, a wireless communication interface 2012, one or more antenna switches 2015, one or more antennas 2016, a bus 2017, a battery 2018, and an auxiliary controller 2019.

[0239] The processor 2001 may be, for example, a CPU or a system on a chip (SoC), and controls the functions of the application layer and other layers of the smartphone 2000. The memory 2002 includes RAM and ROM, and stores data and programs executed by the processor 2001. The storage device 2003 may include storage media such as semiconductor memories and hard disks. The external connection interface 2004 is an interface for connecting external devices (such as memory cards and universal serial bus (USB) devices) to the smartphone 2000.

[0240] The camera 2006 includes an image sensor (such as a charge coupled device (CCD) and a complementary metal oxide semiconductor (CMOS)) and generates a captured image. The sensor 2007 may include a group of sensors such as a measurement sensor, a gyroscope sensor, a geomagnetic sensor, and an acceleration sensor. The microphone 2008 converts the sound input to the smart phone 2000 into an audio signal. The input device 2009 includes, for example, a touch sensor, a keypad, a keyboard, a button, or a switch configured to detect a touch on the screen of the display device 2010, and receives an operation or information input from the user. The display device 2010 includes a screen (such as a liquid crystal display (LCD) and an organic light emitting diode (OLED) display) and displays the output image of the smart phone 2000. The speaker 2011 converts the audio signal output from the smart phone 2000 into sound.

[0241] The wireless communication interface 2012 supports any cellular communication scheme (such as LTE and LTE-Advanced) and performs wireless communication. The wireless communication interface 2012 may generally include, for example, a BB processor 2013 and an RF circuit 2014. The BB processor 2013 may perform, for example, encoding / decoding, modulation / demodulation, and multiplexing / demultiplexing, and perform various types of signal processing for wireless communication. Meanwhile, the RF circuit 2014 may include, for example, a mixer, a filter, and an amplifier, and transmit and receive wireless signals via an antenna 2016. The wireless communication interface 2012 may be a chip module on which the BB processor 2013 and the RF circuit 2014 are integrated. As shown in FIG21 , the wireless communication interface 2012 may include multiple BB processors 2013 and multiple RF circuits 2014. Although FIG21 shows an example in which the wireless communication interface 2012 includes multiple BB processors 2013 and multiple RF circuits 2014, the wireless communication interface 2012 may also include a single BB processor 2013 or a single RF circuit 2014.

[0242] In addition, in addition to the cellular communication scheme, the wireless communication interface 2012 can support other types of wireless communication schemes, such as a short-range wireless communication scheme, a near field communication scheme, and a wireless local area network (LAN) scheme. In this case, the wireless communication interface 2012 can include a BB processor 2013 and an RF circuit 2014 for each wireless communication scheme.

[0243] Each of the antenna switches 2015 switches the connection destination of the antenna 916 between a plurality of circuits (eg, circuits for different wireless communication schemes) included in the wireless communication interface 2012 .

[0244] Each of the antennas 2016 includes a single or multiple antenna elements (such as multiple antenna elements included in a MIMO antenna) and is used for transmitting and receiving wireless signals via the wireless communication interface 2012. As shown in FIG21, the smartphone 2000 may include multiple antennas 2016. Although FIG21 shows an example in which the smartphone 2000 includes multiple antennas 2016, the smartphone 2000 may also include a single antenna 2016.

[0245] In addition, the smartphone 2000 may include an antenna 2016 for each wireless communication scheme. In this case, the antenna switch 2015 may be omitted from the configuration of the smartphone 2000.

[0246] The bus 2017 connects the processor 2001, the memory 2002, the storage device 2003, the external connection interface 2004, the camera 2006, the sensor 2007, the microphone 2008, the input device 2009, the display device 2010, the speaker 2011, the wireless communication interface 2012, and the auxiliary controller 2019. The battery 2018 supplies power to the various blocks of the smartphone 2000 shown in FIG21 via feeders, which are partially shown as dotted lines in the figure. The auxiliary controller 2019 operates the minimum necessary functions of the smartphone 2000, for example, in sleep mode.

[0247] In the smartphone 2000 shown in FIG21 , the communication unit in the electronic device 200 or 600 described above with reference to FIG2 or FIG6 can be implemented via the wireless communication interface 2012 and the optional antenna 2016. The functions of the determination unit in the electronic device 200 or 600 and at least part of the functions of the prediction unit and the measurement unit in the electronic device 600 can be implemented by the processor 2001 or the auxiliary controller 2019. For example, the processor 2001 or the auxiliary controller 2019 can implement at least part of the functions of the determination unit, the prediction unit, and / or the measurement unit by executing instructions stored in the memory 2002 or the storage device 2003. The functions of the storage unit in the electronic device 200 or 600 can be implemented by the memory 2002 or the storage device 2003.

[0248] (Second application example)

[0249] 22 is a block diagram showing an example of a schematic configuration of a car navigation device 2120 to which the technology of the present disclosure can be applied. The car navigation device 2120 includes a processor 2121, a memory 2122, a global positioning system (GPS) module 2124, a sensor 2125, a data interface 2126, a content player 2127, a storage medium interface 2128, an input device 2129, a display device 2130, a speaker 2131, a wireless communication interface 2133, one or more antenna switches 2136, one or more antennas 2137, and a battery 2138.

[0250] The processor 2121 may be, for example, a CPU or an SoC, and controls a navigation function and other functions of the car navigation device 2120. The memory 2122 includes a RAM and a ROM, and stores data and programs executed by the processor 2121.

[0251] The GPS module 2124 uses GPS signals received from GPS satellites to measure the position (such as latitude, longitude, and altitude) of the car navigation device 2120. The sensor 2125 may include a group of sensors such as a gyroscope sensor, a geomagnetic sensor, and an air pressure sensor. The data interface 2126 is connected to, for example, the vehicle network 2141 via a terminal not shown, and acquires data generated by the vehicle (such as vehicle speed data).

[0252] The content player 2127 reproduces content stored in a storage medium (such as a CD or DVD) inserted into the storage medium interface 2128. The input device 2129 includes, for example, a touch sensor, button, or switch configured to detect a touch on the screen of the display device 2130, and receives an operation or information input from the user. The display device 2130 includes a screen such as an LCD or OLED display and displays an image of a navigation function or reproduced content. The speaker 2131 outputs the sound of the navigation function or the reproduced content.

[0253] The wireless communication interface 2133 supports any cellular communication scheme (such as LTE and LTE-Advanced) and performs wireless communication. The wireless communication interface 2133 may generally include, for example, a BB processor 2134 and an RF circuit 2135. The BB processor 2134 may perform, for example, encoding / decoding, modulation / demodulation, and multiplexing / demultiplexing, and perform various types of signal processing for wireless communication. Meanwhile, the RF circuit 2135 may include, for example, a mixer, a filter, and an amplifier, and transmit and receive wireless signals via an antenna 2137. The wireless communication interface 2133 may also be a chip module on which the BB processor 2134 and the RF circuit 2135 are integrated. As shown in Figure 22, the wireless communication interface 2133 may include multiple BB processors 2134 and multiple RF circuits 2135. Although Figure 22 shows an example in which the wireless communication interface 2133 includes multiple BB processors 2134 and multiple RF circuits 2135, the wireless communication interface 2133 may also include a single BB processor 2134 or a single RF circuit 2135.

[0254] In addition, in addition to the cellular communication scheme, the wireless communication interface 2133 can support other types of wireless communication schemes, such as a short-range wireless communication scheme, a near-field communication scheme, and a wireless LAN scheme. In this case, for each wireless communication scheme, the wireless communication interface 2133 can include a BB processor 2134 and an RF circuit 2135.

[0255] Each of the antenna switches 2136 switches the connection destination of the antenna 2137 between a plurality of circuits included in the wireless communication interface 2133 , such as circuits for different wireless communication schemes.

[0256] Each of the antennas 2137 includes a single or multiple antenna elements (such as multiple antenna elements included in a MIMO antenna) and is used for transmitting and receiving wireless signals via the wireless communication interface 2133. As shown in FIG22, the car navigation device 2120 may include multiple antennas 2137. Although FIG22 shows an example in which the car navigation device 2120 includes multiple antennas 2137, the car navigation device 2120 may also include a single antenna 2137.

[0257] Furthermore, the car navigation device 2120 may include an antenna 2137 for each wireless communication scheme. In this case, the antenna switch 2136 may be omitted from the configuration of the car navigation device 2120.

[0258] The battery 2138 supplies power to the respective blocks of the car navigation device 2120 shown in Fig. 22 via a feeder line, which is partially shown as a dotted line in the figure. The battery 2138 accumulates the power supplied from the vehicle.

[0259] In the car navigation device 2120 shown in FIG22 , the communication unit in the electronic device 200 or 600 described above with reference to FIG2 or FIG6 can be implemented through the wireless communication interface 2133 and the optional antenna 2137. The functions of the determination unit in the electronic device 200 or 600 and at least part of the functions of the prediction unit and the measurement unit in the electronic device 600 can be implemented by the processor 2121. For example, the processor 2121 can implement at least part of the functions of the determination unit, the prediction unit, and / or the measurement unit by executing instructions stored in the memory 2122. The functions of the storage unit in the electronic device 200 or 600 can be implemented by the memory 2122.

[0260] The technology of the present disclosure can also be implemented as an in-vehicle system (or vehicle) 2140 including a car navigation device 2120, an in-vehicle network 2141, and one or more blocks of a vehicle module 2142. The vehicle module 2142 generates vehicle data (such as vehicle speed, engine speed, and fault information) and outputs the generated data to the in-vehicle network 2141.

[0261] The preferred embodiments of the present disclosure are described above with reference to the accompanying drawings, but the present disclosure is of course not limited to the above examples. Those skilled in the art may obtain various changes and modifications within the scope of the appended claims, and it should be understood that these changes and modifications will naturally fall within the technical scope of the present disclosure.

[0262] For example, the units shown in dotted boxes in the functional block diagrams shown in the accompanying drawings all indicate that the functional units are optional in the corresponding device, and the various optional functional units can be combined in an appropriate manner to achieve the required functions.

[0263] For example, a plurality of functions included in one unit in the above embodiments may be implemented by separate devices. Alternatively, a plurality of functions implemented by a plurality of units in the above embodiments may be implemented by separate devices, respectively. In addition, one of the above functions may be implemented by a plurality of units. Needless to say, such a configuration is included in the technical scope of the present disclosure.

[0264] In this specification, the steps described in the flowchart include not only processing executed in time series in the order described, but also processing executed in parallel or individually rather than necessarily in time series. In addition, even in the steps processed in time series, it goes without saying that the order can be changed as appropriate.

[0265] Furthermore, the present disclosure may have configurations as described below.

[0266] 1. An electronic device comprising:

[0267] The processing circuit is configured to:

[0268] Based on the channel characteristics, a monitoring mode of a beam prediction model for obtaining predicted beam information at a future time based on the measured beam information is determined. The monitoring mode indicates the future time corresponding to the predicted beam information as a monitoring target.

[0269] 2. The electronic device according to configuration 1, wherein the channel characteristics include a channel fading rate.

[0270] 3. The electronic device according to configuration 2, wherein the processing circuit is further configured to: determine a current channel fading speed based on the received predetermined reference signal.

[0271] 4. The electronic device as described in configuration 2, wherein the processing circuit is further configured to: determine a mode corresponding to the interval among the multiple monitoring modes based on an interval among multiple predetermined intervals to which the current channel fading speed belongs.

[0272] 5. The electronic device according to configuration 4, wherein:

[0273] Among the plurality of predetermined intervals, the channel fading speed in a first interval is greater than the channel fading speed in a second interval, and

[0274] In multiple monitoring modes, the correlation between multiple future moments of multiple predicted beam information indicated by the first mode corresponding to the first interval is higher than the correlation between multiple future moments of multiple predicted beam information indicated by the second mode corresponding to the second interval.

[0275] 6. The electronic device according to any one of configurations 1 to 5, wherein the monitoring mode comprises:

[0276] A first monitoring mode, which indicates successive future moments; and

[0277] The second monitoring mode indicates discrete future moments.

[0278] 7. The electronic device according to configuration 6, wherein the second monitoring mode includes:

[0279] A first mode indicates a future time corresponding to predicted beam information obtained by the beam prediction model based on measured beam information at the same past time; and

[0280] The second mode indicates the future time corresponding to the predicted beam information obtained by the beam prediction model based on the measured beam information at different past time points.

[0281] 8. The electronic device according to configuration 1, wherein the processing circuit is further configured to: determine predicted beam information as a monitoring starting point.

[0282] 9. The electronic device as described in configuration 7, wherein the processing circuit is further configured to: determine the predicted beam information corresponding to the moment when a predetermined time has passed from the monitoring trigger moment of the beam prediction model as the predicted beam information of the monitoring start point.

[0283] 10. The electronic device according to configuration 9, wherein the predetermined time is determined based on a time required to measure all predicted beams indicated by the predicted beam information at one future time.

[0284] 11. The electronic device according to configuration 1, wherein the processing circuit is further configured to: determine the performance of the beam prediction model based on a measurement result of the predicted beam indicated by the predicted beam information as a monitoring object.

[0285] 12. The electronic device according to configuration 1, wherein the electronic device is a terminal device, and the processing circuit is further configured to:

[0286] Using the beam prediction model to obtain predicted beam information, and

[0287] The obtained predicted beam information is sent to the network side device.

[0288] 13. The electronic device of configuration 12, wherein the processing circuit is further configured to:

[0289] Sending monitoring mode information indicating the determined monitoring mode to the network side device; and

[0290] Measure the downlink monitoring beam sent by the network-side device based on the predicted beam information and monitoring mode information.

[0291] 14. The electronic device of configuration 13, wherein the processing circuit is further configured to:

[0292] receiving measurement configuration information of a downlink monitoring beam generated by a network-side device based on the predicted beam information and the monitoring mode information; and

[0293] The downlink monitoring beam is measured for the resources indicated by the measurement configuration information.

[0294] 15. The electronic device according to configuration 13 or 14, wherein the processing circuit is further configured to: report the measurement results of the downlink monitoring beam to the network side device.

[0295] 16. The electronic device according to configuration 1, wherein the electronic device is a network-side device, and the processing circuit is further configured to:

[0296] Get the predicted beam information output by the beam prediction model.

[0297] 17. The electronic device of configuration 16, wherein the processing circuit is further configured to:

[0298] Sending a downlink monitoring beam to the terminal device based on the obtained predicted beam information and the determined monitoring mode; and

[0299] Receive the measurement results of the downlink monitoring beam from the terminal device.

[0300] 18. The electronic device of configuration 17, wherein the processing circuit is further configured to:

[0301] Based on the predicted beam information and the determined monitoring mode, configuring measurement resources of the downlink monitoring beam for the terminal device; and

[0302] Use the configured resources to send a downlink monitoring beam to the terminal device.

[0303] 19. The electronic device of configuration 18, wherein the processing circuit is further configured to:

[0304] directly using the beam prediction model to obtain predicted beam information, or receiving the predicted beam information obtained by the terminal device using the beam prediction model; and

[0305] Generate and send measurement configuration information indicating the measurement resources of the downlink monitoring beam to the terminal device.

[0306] 20. A wireless communication method, comprising:

[0307] Based on the channel characteristics, a monitoring mode of a beam prediction model for obtaining predicted beam information at a future time based on the measured beam information is determined. The monitoring mode indicates the future time corresponding to the predicted beam information as a monitoring target.

[0308] 21. A non-transitory computer-readable storage medium storing executable instructions, wherein when the executable instructions are executed by a processor, the processor is caused to perform the wireless processing method of configuration 20.

[0309] Although the embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, it should be understood that the embodiments described above are merely illustrative of the present disclosure and are not intended to limit the present disclosure. Those skilled in the art will appreciate that various modifications and variations can be made to the above embodiments without departing from the spirit and scope of the present disclosure. Therefore, the scope of the present disclosure is solely defined by the appended claims and their equivalents.

Claims

1. An electronic device, comprising: The processing circuit is configured to: Based on the channel characteristics, a monitoring mode of a beam prediction model for obtaining predicted beam information at a future time based on the measured beam information is determined, where the monitoring mode indicates the future time corresponding to the predicted beam information as a monitoring object.

2. The electronic device according to claim 1, wherein: Channel characteristics include channel fading rate.

3. The electronic device according to claim 2, wherein: The processing circuit is further configured to determine a current channel fading speed based on the received predetermined reference signal.

4. The electronic device according to claim 2, wherein: The processing circuit is further configured to: determine, based on an interval among multiple predetermined intervals to which the current channel fading speed belongs, a mode among multiple monitoring modes corresponding to the interval.

5. The electronic device according to claim 4, wherein: In a plurality of predetermined intervals, a channel fading rate in a first interval is greater than a channel fading rate in a second interval, and In multiple monitoring modes, the correlation between multiple future moments of multiple predicted beam information indicated by a first mode corresponding to a first interval is higher than the correlation between multiple future moments of multiple predicted beam information indicated by a second mode corresponding to a second interval.

6. The electronic device according to any one of claims 1 to 5, wherein: Monitoring modes include: A first monitoring mode, which indicates successive future moments; and The second monitoring mode indicates discrete future moments.

7. The electronic device according to claim 6, wherein: The second monitoring mode includes: A first mode indicates a future time corresponding to predicted beam information obtained by the beam prediction model based on measured beam information at the same past time; and The second mode indicates the future time corresponding to the predicted beam information obtained by the beam prediction model based on the measured beam information at different past time moments.

8. The electronic device according to claim 1, wherein: The processing circuit is further configured to determine predicted beam information as a monitoring starting point.

9. The electronic device according to claim 7, wherein: The processing circuit is further configured to determine predicted beam information corresponding to a time point at which a predetermined time has elapsed from a monitoring triggering time point of the beam prediction model as predicted beam information of a monitoring start point.

10. The electronic device according to claim 9, wherein: The predetermined time is determined based on the time required to measure all the predicted beams indicated by the predicted beam information at a future time.

11. The electronic device according to claim 1, wherein: The processing circuit is further configured to determine the performance of the beam prediction model according to the measurement result of the predicted beam indicated by the predicted beam information as the monitoring object.

12. The electronic device according to claim 1, wherein: The electronic device is a terminal device, and the processing circuit is further configured to: Using the beam prediction model to obtain predicted beam information, and The obtained predicted beam information is sent to the network side device.

13. The electronic device according to claim 12, wherein: The processing circuit is further configured to: Sending monitoring mode information indicating the determined monitoring mode to the network side device; and Measure the downlink monitoring beam sent by the network-side device based on the predicted beam information and monitoring mode information.

14. The electronic device according to claim 13, wherein: The processing circuit is further configured to: receiving measurement configuration information of a downlink monitoring beam generated by a network side device based on the predicted beam information and the monitoring mode information; and The downlink monitoring beam is measured for the resources indicated by the measurement configuration information.

15. The electronic device according to claim 13 or 14, wherein: The processing circuit is further configured to: report the measurement result of the downlink monitoring beam to the network side device.

16. The electronic device according to claim 1, wherein: The electronic device is a network side device, and the processing circuit is further configured to: Get the predicted beam information output by the beam prediction model.

17. The electronic device according to claim 16, wherein: The processing circuit is further configured to: Sending a downlink monitoring beam to the terminal device based on the obtained predicted beam information and the determined monitoring mode; and The receiving terminal device measures the downlink monitoring beam.

18. The electronic device according to claim 17, wherein: The processing circuit is further configured to: Based on the predicted beam information and the determined monitoring mode, configure the downlink monitoring beam for the terminal device. The measurement resources of the bundle; and Utilize the configured resources to send a downlink monitoring beam to the terminal device.

19. The electronic device according to claim 18, wherein: The processing circuit is further configured to: directly using the beam prediction model to obtain predicted beam information, or receiving the predicted beam information obtained by the terminal device using the beam prediction model; and Generate and send measurement configuration information indicating the measurement resources of the downlink monitoring beam to the terminal device.

20. A wireless communication method, comprising: Based on the channel characteristics, a monitoring mode of a beam prediction model for obtaining predicted beam information at a future time based on the measured beam information is determined, where the monitoring mode indicates the future time corresponding to the predicted beam information as a monitoring object.

21. A non-transitory computer-readable storage medium storing executable instructions, wherein when the executable instructions are executed by a processor, the processor performs the wireless processing method according to claim 20.

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