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

Abstract

The present application provides an electronic device, a method for wireless communication, and a computer-readable storage medium. An electronic device on a terminal side may comprise at least one processor and at least one memory, the at least one memory comprising a computer program code. The at least one memory and the computer program code are configured to, by means of the at least one processor, enable the electronic device to execute: obtaining a beam measurement result for a measurement beam; and sending a non-compliance report to a network side device if the obtained beam measurement result does not conform to the requirements of a beam prediction model for a beam measurement result to be inputted.

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 January 11, 2024, with application number 202410044536.7 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 field of wireless communication technology, and more specifically, to an electronic device, a method for wireless communication, and a computer-readable storage medium that facilitates sharing information related to input data of a beam prediction model between a network side and a terminal equipment (UE) side. 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, utilizing the prediction results of AI / ML-based beam prediction models for beam management is a key research area. The beam prediction model can be trained using historical beam measurement results for measurement beams. The trained beam prediction model can then be used to obtain predicted beam information based on, for example, currently acquired beam measurement results. Using this predicted beam information for beam management can at least partially replace the traditional beam scanning process, reducing overhead.

[0005] In order to effectively utilize the beam prediction model, there may be certain requirements on the input data of the beam prediction model (ie, the beam measurement results to be input). Summary of the Invention

[0006] 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.

[0007] 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 sharing between a network side and a UE side a situation in which beam measurement results do not meet the requirements of a beam prediction model for input data (also referred to herein as the requirements of the beam prediction model for input or "requirements"), so as to facilitate the network side and / or the UE side to perform corresponding subsequent processing based on such non-compliance.

[0008] According to a first aspect of the present disclosure, a terminal-side electronic device is provided, the electronic device comprising at least one processor and at least one memory, wherein the at least one memory comprises computer program code. The at least one memory and the computer program code are configured to, through the at least one processor, cause the electronic device to: obtain a beam measurement result for a measurement beam; and, if the obtained beam measurement result does not meet requirements of a beam prediction model for input beam measurement results, send a non-compliance report to a network-side device.

[0009] According to the first aspect of the present disclosure, a method for wireless communication is also provided, which includes: obtaining a beam measurement result for a measurement beam; and sending a non-compliance report to a network side device when the obtained beam measurement result does not meet the requirements of the beam prediction model for the beam measurement result to be input.

[0010] According to a second aspect of the present disclosure, a network-side electronic device is further provided, the electronic device including at least one processor and at least one memory, wherein the at least one memory includes computer program code. The at least one memory and the computer program code are configured to, through the at least one processor, cause the electronic device to: receive a non-compliance report from a terminal device, the report indicating that a beam measurement result of a measurement beam obtained by the terminal device does not meet requirements of a beam prediction model for input beam measurement results.

[0011] According to the second aspect of the present disclosure, a method for wireless communication is also provided, which includes: receiving a non-compliance report from a terminal device, which indicates that the beam measurement result of the measurement beam obtained by the terminal device does not meet the requirements of the beam prediction model for the beam measurement result to be input.

[0012] According to another aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer program code is also provided. The computer program code enables the electronic device to execute the method for wireless communication provided according to the first or second aspect above through a processor included in the electronic device.

[0013] 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.

[0014] According to at least one aspect of the embodiments of the present disclosure, it is possible to share between the network side and the UE side the situation where the beam measurement results do not meet the requirements of the beam prediction model for the input data, so as to facilitate the network side and / or the UE side to perform corresponding subsequent processing based on this non-compliance.

[0015] 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

[0016] 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:

[0017] FIG1 is a schematic diagram for explaining beam prediction using a beam prediction model;

[0018] 2 is a block diagram showing a configuration example of an electronic device according to a first embodiment of the present disclosure;

[0019] FIG3A and FIG3B are flowcharts for illustrating example signaling interactions between a terminal-side electronic device (UE) and a network-side device (gNB) for sharing information related to a beam prediction model.

[0020] FIG4 is a flowchart illustrating an example signaling interaction for a UE to send a non-compliance report to a gNB;

[0021] FIG5 is a flowchart illustrating an example signaling interaction between a UE and a gNB when a beam measurement result does not meet the requirements;

[0022] FIG6 is a flowchart illustrating an example signaling interaction between a UE and a gNB when a beam prediction model is deployed on the network side and beam measurement results do not meet requirements;

[0023] FIG7 is a flowchart illustrating an example signaling interaction between the UE and the gNB when the beam prediction model is deployed on the network side and the beam measurement results meet the requirements;

[0024] FIG8 is a flowchart illustrating an example signaling interaction between the UE and the gNB when the beam prediction model is deployed on the terminal side and the beam measurement result does not meet the requirements;

[0025] FIG9 is a flowchart illustrating an example signaling interaction between the UE and the gNB when the beam prediction model is deployed on the terminal side and the beam measurement results meet the requirements;

[0026] 10 is a block diagram showing a configuration example of an electronic device according to a second embodiment of the present disclosure;

[0027] FIG11 is a schematic diagram for illustrating a training or optimization process of a beam prediction model;

[0028] 12 is a flowchart showing a process example of a method for wireless communication according to the first embodiment of the present disclosure;

[0029] 13 is a flowchart illustrating a process example of a method for wireless communication according to a second embodiment of the present disclosure;

[0030] FIG14 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;

[0031] FIG15 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;

[0032] FIG16 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;

[0033] FIG. 17 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.

[0034] 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

[0035] 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.

[0036] 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.

[0037] The description will be in the following order:

[0038] 1. Overview

[0039] 2. Configuration Example of Electronic Device of First Embodiment

[0040] 2.1 Configuration Example

[0041] 2.2 Example Processing

[0042] 3. Configuration Example of Electronic Device of Second Embodiment

[0043] 3.1 Configuration Example

[0044] 3.2 Example Processing

[0045] 3.3 Others (training and optimization of beam prediction model)

[0046] 4. Method Examples

[0047] 5. Application Examples

[0048] <1. Overview>

[0049] As a preface, we first briefly introduce the beam prediction model and its application in beam management.

[0050] As previously mentioned, a beam prediction model based on an AI / ML model can be trained using historical beam measurement data, and the trained model can be used to predict beam information. The AI / ML models used in the beam prediction model can include various categories, such as, but not limited to, those based on neural networks (such as convolutional neural networks (CNNs)), etc., which are not limited in this disclosure.

[0051] As an example, consider the beam management use case 1 (BM-Case 1) on spatial downlink beam prediction discussed in a recent 3rd Generation Partnership Project (3GPP) meeting for AI / ML model-based beam management. In downlink beam prediction such as BM-Case 1, as schematically shown in FIG1 , a trained AI / ML model-based beam prediction model can take as input beam measurement results for (downlink) measurement beams in beam set B (Set B) and output beam prediction information for (downlink) candidate beams in beam set A (Set A), where beam set B can be different from beam set A or a subset of beam set A.

[0052] Here, the beam measurement results input to the beam prediction model may, for example, include or indicate identification information (such as a beam ID) for each measured beam in beam set B and the beam quality obtained through the measurement, and may optionally include other relevant information capable of determining the quality of the measured beam. In addition, the predicted beam information output by the beam prediction model may, for example, include or indicate identification information (such as a beam ID) for each of the candidate beams in beam set A that serve as predicted beams, and the beam quality of each predicted beam. In addition, the predicted beam information may optionally also include or indicate the probability of each predicted beam being the optimal beam (and optionally the associated confidence level) and / or other relevant information capable of determining the priority of the predicted beam.

[0053] Here, the predicted beam output by the beam prediction model can be, for example, the top N candidate beams with the highest beam quality among all candidate beams in beam set A, or the L candidate beams with beam quality above a predetermined threshold, where N and L are natural numbers. Beam quality can include absolute or relative beam strength, such as Reference Signal Received Power (RSRP) or L1-RSRP. Beam quality can also include Signal to Interference plus Noise Ratio (SINR).

[0054] In beam management, the predicted beam information obtained by the above-mentioned beam prediction model can be used to replace the beam measurement results obtained by the existing beam scanning or beam measurement process to a certain extent, thereby reducing overhead.

[0055] In the example use of the beam prediction model shown in FIG1 , to ensure input data quality and achieve good prediction performance, the beam prediction model may have certain requirements for the input data, that is, certain screening criteria for beam set B (or its measurement results). For example, the screening criteria may include that beam set B must include at least a specified number of measurement beams, and that the beam quality of each measurement beam must be above a predetermined threshold.

[0056] To obtain beam measurement results for beam set B that meet the requirements, the network (e.g., the base station) may pre-configure measurement resources for (candidate) measurement beams in beam set C (Set C) for the UE based on information related to the beam prediction model. The network then randomly selects at least a specified number of beams from beams whose beam measurement results meet screening criteria (e.g., beam quality above a predetermined threshold) or selects at least a specified number based on additional criteria to form beam set B, whose beam measurement results are input into the model. The number of beams in beam set C can be greater than the specified number and preferably covers a wider spatial range.

[0057] However, even if the UE performs beam measurement on all beams in Beam Set C, the obtained beam measurement results may not meet the requirements (unable to form the required Beam Set B). In this case, ignoring this non-compliance and directly inputting the beam measurement results into the beam prediction model without any additional processing may result in a decrease in the model's prediction performance.

[0058] In view of the above situation, the inventor proposed the following concept of the present invention: when the beam measurement results obtained by the UE do not meet the requirements of the beam prediction model for the beam measurement results to be input, a non-compliance report is sent to the network side device to share the above non-compliance between the network side and the UE side, thereby facilitating the network side and / or UE side to perform corresponding subsequent processing based on this non-compliance.

[0059] Next, we will continue to describe the device / method embodiments and various preferred examples and processes based on the above-mentioned inventive concept in combination with the example of the beam prediction model of Figure 1. Note that although the downlink beam is used as an example of a measurement beam, and the UE obtains the beam measurement result and sends a non-compliance report to the network side as an example to introduce the application background of the present disclosure and expand the subsequent detailed description, based on 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 (that is, the measurement beam can be an uplink beam, and the beam measurement result can be obtained by the network side and a non-compliance message similar to a non-compliance report can be sent to the UE, etc.), which will not be repeated here.

[0060] <2. Configuration Example of Electronic Device of First Embodiment>

[0061] [2.1 Configuration Example]

[0062] FIG. 2 is a block diagram showing a configuration example of an electronic device according to the first embodiment of the present disclosure.

[0063] As shown in FIG2 , the electronic device 200 may include one or more processors 210 and one or more memories 220 including computer program code, and optionally a transceiver 230. The memory 220 and the computer program code included therein may be configured to cause the electronic device 200 to perform relevant processing or operations through the processor 210. Optionally, the memory 220 may also be configured to store various data and information. The transceiver 230 is used, for example, to send information to or receive information from another device, and may perform corresponding processing or operations under the control of the memory 220, the computer program code included therein, and the processor 210.

[0064] In the context of the present disclosure, when necessary, the processing and operations performed by the electronic device 200 can be implemented with the aid of other components in the electronic device 200 in addition to the processor 210 and the memory 220UI (such as the optional transceiver 230), but the implementation details of these other components are not the focus of the present invention and will not be described in detail.

[0065] Here, each component of the electronic device 200 (such as but not limited to a processor, memory and / or transceiver, etc.) can be included in the processing circuit. It should be noted that the electronic device 200 can include not only one processing circuit but also multiple processing circuits. Furthermore, the processing circuit can include various discrete functional units to perform various functions and / or operations. It should be noted that these functional units can be physical entities or logical entities, and units with different names may be implemented by the same physical entity.

[0066] In addition, although FIG2 schematically shows an example in which the electronic device 200 includes a processor 210, a memory 220, and a transceiver 230, the functional configuration of the electronic device 200 is not limited thereto. For example, the electronic device 200 may include a processing unit, a storage unit, and / or a communication unit to replace the above-mentioned processor, memory, and / or transceiver, respectively, which have the same or similar functions and / or configurations as the processor, memory, and / or transceiver described herein, and will not be described in detail here.

[0067] In this embodiment, the electronic device 200 is a terminal-side device, for example, it can be the UE itself. The electronic device 200 may not have a beam prediction model, but obtain relevant information about the beam prediction model from a device deployed with a beam prediction model (for example, a network-side device such as a gNB) via the transceiver 230. Alternatively, the electronic device 200 may also deploy a beam prediction model, that is, store a beam prediction model in its memory 220, so that the model can be used to directly obtain predicted beam information based on beam measurement results (and share relevant information with the network-side device). The present disclosure is not particularly limited in this regard. Regardless of whether the beam prediction model is deployed on the terminal side or the network side, preferably, the two share relevant information about the beam prediction model in advance. Figures 3A and 3B schematically illustrate example signaling interactions of relevant information about the shared beam prediction model between the electronic device 200 as a UE and the network-side device gNB in ​​two cases.

[0068] The information related to the beam prediction model shared between the terminal side and the network side includes, but is not limited to, the identification information of the model (model ID), the format and / or requirements of the model's input data, the form and / or requirements of the model's output data, and / or other model parameters. Here, as described in the example with reference to FIG1 , the requirements of the beam prediction model for input data can be understood as requirements for beam measurement results of measurement beams to be input, such as beam set B. Therefore, in this document, this requirement may also be referred to as beam set B requirement or Set B requirement without causing confusion.

[0069] According to an embodiment of the present disclosure, the memory 220 of the electronic device 200 and the computer program code included therein can be configured to enable the electronic device 200 to perform the following processing or operations through the processor 210: obtaining a beam measurement result for a measurement beam; and sending a non-compliance report to a network side device when the obtained beam measurement result does not meet the requirements of the beam prediction model for the beam measurement result to be input.

[0070] FIG4 is a flowchart illustrating an example signaling interaction for electronic device 200, acting as a UE, to send a non-compliance report to a network-side device gNB (e.g., having the configuration and functionality of electronic device 1000 of the second embodiment, described later). Next, an example process performed by electronic device 200 and further details will be described in conjunction with FIG4 .

[0071] As shown in Figure 4, the gNB can optionally send information about measurement resources for a (candidate) measurement beam, i.e., beam set C (Set C), to electronic device 200, acting as a UE. This information can, for example, include (measurement) configuration information for carrying a downlink reference signal (a reference signal corresponding to the (candidate) measurement beam) in beam set C, indicating the time-frequency resources of the downlink reference signal, beam information (e.g., beam identification information such as a beam ID), and / or measurement items (e.g., RSRP (L1-RSRP)). In one example, the downlink reference signal carrying the (candidate) measurement beam can be, for example, an aperiodic non-zero power channel state information reference signal (nzp-CSI-RS) resource set. In the case of an aperiodic reference signal, the measurement resource information can optionally include, for example, a subsequently transmitted DCI trigger command, etc., which will not be further described here.

[0072] Next, as shown in Figure 4, the gNB can send the (candidate) measurement beam of beam set C to the electronic device serving as the UE.

[0073] Accordingly, the memory 220 of the electronic device 200 and the computer program code included therein can enable the electronic device 200 to perform the following series of processing or operations through the processor 210: for example, based on the received measurement resource information, receive and measure the (candidate) measurement beam sent by the gNB, that is, obtain the beam measurement result through beam measurement of the (candidate) measurement beam of beam set C.

[0074] The series of processing or operations performed by the electronic device 200 may also include: judging whether the obtained beam measurement results meet the requirements of the beam prediction model for input data based on the requirements; further, as shown in Figure 4, if it is determined that the requirements are not met, generating and sending a non-compliance report to the network side device.

[0075] As an example, the beam prediction model's requirements for beam measurement results to be input (Set B requirements) may include one or more of the following: the number of measurement beams with beam quality above a predetermined threshold (number requirement or first requirement); the beam quality of the measurement beams (quality requirement or second requirement); or the ranking of the beam quality of the measurement beams (ranking requirement or third requirement). Beam quality may include the absolute or relative strength of the measurement beam, such as RSRP or L1-RSRP. Beam quality may also include SINR, etc.

[0076] Accordingly, the non-compliance report generated and sent by the electronic device 200 may be in the form of a single bit or a bit sequence. For example, a non-compliance report in the form of a single bit may use a bit 1 or 0 to indicate a non-compliance result; a bit sequence of length 1+n may use n additional bits to additionally indicate whether each specific requirement (e.g., the first to third requirements described above) is met, or the number of the specific requirement that is not met (n is a natural number).

[0077] In this way, the situation where the beam measurement results of the (candidate) measurement beam do not meet the requirements of the input data of the beam prediction model and the optional details of the above non-compliance can be shared between the electronic device 200 serving as the UE and the network side device such as the gNB, thereby facilitating the network side and / or the UE side to perform corresponding subsequent processing based on this non-compliance.

[0078] In one example, as shown in FIG4 , optionally, the series of processing or operations performed by the electronic device 200 may also include: in addition to the above-mentioned non-compliance report, for example, in response to a request (not shown) issued by the gNB to the UE to provide beam measurement results based on the non-compliance report, sending the obtained beam measurement results to the network side device for the network side device to further understand the relevant details.

[0079] [2.2 Example Processing]

[0080] Next, more example processes and related details that the memory 220 of the electronic device 200 and the computer program code included therein can also enable the electronic device 200 to perform through the processor 210 will be described in conjunction with Figures 5 to 9.

[0081] (Example of reconfiguration and measurement in response to non-compliance report)

[0082] First, refer to Figure 5, which shows an example signaling interaction between the electronic device 200 as the UE and the network side device gNB when the measurement results do not meet the requirements.

[0083] As shown in Figure 5, the gNB can configure updated measurement resources for the electronic device 200 serving as the terminal device UE to obtain beam measurement results based on the received non-compliance report, and can generate and send information about the configured updated measurement resources to the UE.

[0084] The gNB may then use the updated measurement resources to send the corresponding (candidate) measurement beams to the UE.

[0085] Accordingly, the memory 220 of the electronic device 200 serving as a UE and the computer program code included therein can be configured to enable the electronic device 200 to perform the following series of processing or operations through the processor 210: for example, via beam measurement, obtaining an updated beam measurement result for the measurement beam sent using the updated measurement resource.

[0086] In the first example of updating measurement resources, the updated measurement resources configured by the gNB for the electronic device 200 (the UE) may include updated time and / or frequency resources for the reference signal corresponding to the measurement beam (used to carry the downlink reference signal of the measurement beam). In other words, the updated measurement resources may include updated time resources for the (candidate) measurement beams of the beam set C (also referred to as the original Set C), which have not changed in terms of beam configuration. Accordingly, the updated measurement resource information generated and transmitted by the gNB may indicate the updated time and / or frequency resources for the reference signal corresponding to the measurement beam. In a preferred example, the updated measurement resources may include updated time resources for the downlink reference signal carrying the measurement beam, and the updated measurement resource information indicates the updated time resources.

[0087] In this way, for example, the original (candidate) measurement beams in Set C can be used, but updated beam measurement results are obtained through the retransmission by the network-side device gNB and the remeasurement by the electronic device 200 as the UE as described above. Accordingly, it is possible to avoid the situation where unsatisfactory beam measurement results, such as those caused by UE mobility temporarily placing the UE in an unfavorable position (e.g., accidentally being in an obstructed position), are interpreted as imperfect beam prediction models themselves, leading to inappropriate decisions such as model switching, initiating model supervision, or even reverting to a traditional beam management mode (i.e., a mode that does not use a beam prediction model).

[0088] In the second example of updating measurement resources, alternatively (or additionally), the updated measurement resources configured by the gNB for the electronic device 200 (the UE) may include updated measurement beams. These updated measurement beams preferably include at least newly added measurement beams. In other words, the updated measurement resources may include measurement beams included in the updated beam set C (updated Set C).

[0089] The gNB may determine updated measurement beams in various ways, such as, but not limited to: randomly specifying multiple beams from all possible, for example, 64 downlink beams, the number of which is greater than or equal to the number of beams in the original Set C; selecting several beams from all possible, for example, 64 downlink beams, whose spatial range is wider than the coverage of the beams in the original Set C; retaining all beams in the original Set C, and then randomly specifying or specifying new beams from all possible, for example, 64 downlink beams based on spatial coverage; when the gNB receives a detailed non-conformity report and / or specific beam measurement results from the UE, retaining only beams with higher beam quality from the original Set C beams, and randomly specifying or specifying new beams from all possible, for example, 64 downlink beams based on spatial coverage; and so on.

[0090] Accordingly, the updated measurement resource information generated and sent by the gNB may indicate the updated measurement beam, and preferably at least the newly added measurement beam, and optionally also indicates the measurement beams that can continue to be used among the existing measurement beams. In other words, the updated measurement resource information may indicate the (candidate) measurement beams of the changed beam set C (updated Set C).

[0091] In this way, for example, updated beam measurement results can be obtained by using the updated (candidate) measurement beams of Set C, through the retransmission by the network-side device gNB and remeasurement by the electronic device 200 as the UE as described above. Accordingly, unsatisfactory beam measurement results caused by the spatial coverage of the original (candidate) measurement beams of Set C being unsuitable for the UE's current wireless mobility environment can be avoided from being interpreted as imperfect beam prediction models themselves, leading to inappropriate decisions such as model switching, initiating model supervision, or even reverting to traditional beam management modes.

[0092] In actual applications, there may be situations where the updated beam measurement results obtained by electronic device 200, acting as a UE, still do not meet the input data requirements (Set B requirements) of the beam prediction model. Optionally, as shown in FIG5 , the series of processes or operations performed by electronic device 200 may further include: if the updated beam measurement results obtained do not meet the requirements, sending an updated non-compliance report to the network device (gNB); and alternatively or additionally, sending the updated beam measurement results obtained (regardless of whether they meet the requirements) to the network device (gNB).

[0093] The network side device gNB can make corresponding decisions based on the above-mentioned updated non-compliance report and / or updated beam measurement results received from the UE, including but not limited to: determining to switch back to the traditional beam management model; determining to start supervision of the beam prediction model; when the beam prediction model is deployed on the network side, determining that model switching is required, and selecting another beam prediction model so that, for example, the updated beam measurement results meet the requirements of the beam prediction model (which may require a smaller Set B and / or lower beam quality than the current beam prediction model, etc.); and so on.

[0094] (Example of a beam prediction model deployed on the network side)

[0095] In the case where the beam prediction model is deployed on the network side, the memory 220 of the electronic device 200 serving as the UE and the computer program code included therein can be configured to enable the electronic device 200 to perform the following processing or operation through the processor 210: sending the obtained beam measurement results to the network side device (regardless of whether they meet the input data requirements of the beam prediction model).

[0096] In one example, if a beam measurement result does not meet input requirements of a beam prediction model, the network-side device may perform subsequent processing based on the beam measurement result and the received non-compliance report. FIG6 illustrates example signaling interactions between electronic device 200, acting as a UE, and the gNB in ​​this example scenario. As shown in FIG6 , the gNB may select an alternative beam prediction model so that the obtained beam measurement result meets the input beam measurement result requirements of the alternative beam prediction model (which may require a smaller Set B and / or lower beam quality than the current beam prediction model, etc.). Furthermore, the gNB may send information related to the alternative beam prediction model to the UE. Subsequently, although not shown in the figure, the UE and the gNB may use the alternative beam prediction model as the switched beam prediction model, for example, performing beam prediction-related processing in various appropriate manners (e.g., conventional manners).

[0097] In another example, if the beam measurement results meet the input requirements of the beam prediction model, the network-side device can use the beam measurement results that meet the requirements to obtain predicted beam information based on the beam prediction model. Figure 7 shows an example signaling exchange between electronic device 200 (a UE) and the gNB in ​​this example scenario. As shown in Figure 7, the gNB can use the beam measurement results that meet the input data requirements of the beam prediction model to obtain predicted beam information based on the beam prediction model.

[0098] Optionally, as shown in Figure 7, the gNB may also determine the optimal beam based on the predicted beam information and perform data transmission using the optimal beam. Accordingly, the series of processes or operations performed by the electronic device 200 as a UE may also include: determining that the corresponding signal quality is below a predetermined threshold; and sending a low-quality report and / or a handover request to the gNB. Upon receiving the low-quality report and / or handover request, the gNB may switch back to traditional beam management, or (attempt) switch to another beam prediction model (e.g., reselecting the model based on various criteria), or initiate a beam model supervision mechanism, etc., which will not be further described here.

[0099] (Example of a case where the beam prediction model is deployed on the terminal side)

[0100] In the case where the beam prediction model is deployed on the terminal side, the electronic device 200 serving as the UE does not necessarily send beam measurement results that do not meet the input data requirements of the beam prediction model to the network side device, but can directly perform model switching, for example; in addition, the electronic device 200 can also directly use beam measurement results that meet the requirements for beam prediction.

[0101] As an example, Figure 8 illustrates an example signaling interaction between an electronic device 200 (a UE) and a gNB when beam measurement results do not meet requirements. As shown in Figure 8 , in this case, the memory 220 of the electronic device 200 (a UE) and the computer program code included therein may be configured to cause the electronic device 200, via the processor 210, to perform the following processes or operations: selecting an alternative beam prediction model so that the obtained beam measurement results meet the input beam measurement results requirements of the alternative beam prediction model (which may require a smaller Set B and / or lower beam quality than the current beam prediction model, etc.); and optionally, transmitting information related to the alternative beam prediction model (such as, but not limited to, identification information of the alternative beam prediction model, necessary application conditions, model switching-related delay, etc.) to a network-side device. Subsequently, although not shown in the figure, the UE and the gNB may use the alternative beam prediction model as the switched beam prediction model, for example, performing beam prediction-related processing in various appropriate manners (e.g., conventional manners).

[0102] As another example, Figure 9 illustrates an example signaling exchange between electronic device 200 (a UE) and a gNB when beam measurement results meet requirements. As shown in Figure 9 , in this case, memory 220 of electronic device 200 (a UE) and the computer program code included therein may be configured to cause, through processor 210, electronic device 200 to perform the following processing or operations: utilizing the beam measurement results that meet the requirements and obtaining predicted beam information based on a beam prediction model; and optionally, transmitting the beam prediction information to a network-side device.

[0103] Thereafter, optionally, the gNB may also perform similar processing as in FIG. 7 to predict beam information, determine an optimal beam, and perform data transmission using the optimal beam. Furthermore, the processing or operation performed by the electronic device 200 as a UE may be similar to that in FIG. 7 , i.e., sending a low-quality report and / or a handover request to the gNB when the signal quality falls below a predetermined threshold. Upon receiving the low-quality report and / or handover request, the gNB may determine to switch back to conventional beam management, or to switch to another beam prediction model (and directly make a decision to switch the model or instruct the UE to make a decision to switch the model), or to initiate a beam model supervision mechanism, etc., which will not be further described herein.

[0104] The configuration example of the electronic device 200 on the terminal side and example processing thereof of the first embodiment of the present disclosure have been described above.

[0105] In the above description, in addition to the electronic device 200 on the terminal side, the network side device (such as the gNB shown in Figures 4 to 9) that interacts with the electronic device 200 on the terminal side and the processing or operation performed by the network side device are also described. In other words, according to the present disclosure, in addition to the electronic device on the terminal side (first embodiment), an electronic device on the network side (second embodiment) is also proposed. The following will be based on the description of the electronic device 200 on the terminal side according to the first embodiment of the present disclosure, and a description of the electronic device 1000 on the network side according to the second embodiment of the present disclosure will be given, and unnecessary details will be omitted.

[0106] <3. Configuration Example of Electronic Device of Second Embodiment>

[0107] [3.1 Configuration Example]

[0108] FIG. 10 is a block diagram illustrating a configuration example of an electronic device on the network side according to the second embodiment of the present disclosure.

[0109] As shown in FIG10 , the electronic device 1000 may include one or more processors 1010 and one or more memories 1020 including computer program code, and optionally a transceiver 1030. The memory 1020 and the computer program code included therein may be configured to cause the electronic device 1000 to perform relevant processing or operations through the processor 1010. Optionally, the memory 1020 may also be configured to store various data and information. The transceiver 1030 is used, for example, to send information to or receive information from another device, and may perform corresponding processing or operations under the control of the memory 1020, the computer program code included therein, and the processor 1010.

[0110] In the context of the present disclosure, when necessary, the processing and operations performed by the electronic device 1000 can be implemented with the aid of other components in the electronic device 1000 in addition to the processor 1010 and the memory 1020 (such as the optional transceiver 1030), but the implementation details of these other components are not the focus of the present invention and will not be described in detail.

[0111] Here, each component of the electronic device 1000 (such as but not limited to a processor, a memory and / or a transceiver, etc.) can be included in a processing circuit. It should be noted that the electronic device 1000 can include either one processing circuit or multiple processing circuits. Furthermore, the processing circuit can include various discrete functional units to perform various functions and / or operations. It should be noted that these functional units can be physical entities or logical entities, and units with different names may be implemented by the same physical entity.

[0112] In addition, although FIG10 schematically shows an example in which the electronic device 1000 includes a processor 1010, a memory 1020, and a transceiver 1030, the functional configuration of the electronic device 1000 is not limited thereto. For example, the electronic device 1000 may include a processing unit, a storage unit, and / or a communication unit to replace the above-mentioned processor, memory, and / or transceiver, respectively, which have the same or similar functions and / or configurations as the processor, memory, and / or transceiver described herein, and will not be described in detail here.

[0113] In this embodiment, the electronic device 1000 is a device on the network side, for example, it can be a base station device, such as the gNB discussed above in the detailed description of the first embodiment. Preferably, the electronic device 1000 can deploy a beam prediction model, that is, a beam prediction model is stored in its memory 1020, so that the model can be used to directly obtain predicted beam information based on the beam measurement results obtained from the UE. Alternatively, the electronic device 1000 may not have a beam prediction model, but obtain relevant information about the beam prediction model from a device deployed with a beam prediction model (for example, a UE such as the electronic device 1000 of the first embodiment) via the transceiver 1030. The present disclosure has no particular limitations in this regard. Regardless of whether the beam prediction model is deployed on the terminal side or the network side, preferably, the two share relevant information of the beam prediction model in advance, as shown in Figures 3A and 3B described above, which will not be repeated here.

[0114] Relevant information of the beam prediction model shared between the terminal side and the network side includes, but is not limited to, the identification information of the model (model ID), the format and / or requirements of the input data of the model, the form and / or requirements of the output data of the model, and / or other model parameters.

[0115] According to an embodiment of the present disclosure, the memory 1020 of the electronic device 1000 and the computer program code included therein can be configured to enable the electronic device 1000 to perform the following processing or operation through the processor 1010: receiving a non-compliance report from the terminal device, which indicates that the beam measurement result of the measurement beam obtained by the terminal device does not meet the requirements of the beam prediction model for the beam measurement result to be input.

[0116] As previously mentioned, the beam prediction model's requirements for input beam measurement results (Set B requirements) may, for example, include one or more of the following: the number of measurement beams with beam quality exceeding a predetermined threshold (number requirement or first requirement); the beam quality of the measurement beams (quality requirement or second requirement); or the ranking of the beam quality of the measurement beams (ranking requirement or third requirement). Beam quality may include the absolute or relative strength of the measurement beam, such as RSRP or L1-RSRP. Furthermore, beam quality may include SINR, etc.

[0117] Accordingly, the non-compliance report received by the electronic device 1000 may be in the form of a single bit or a bit sequence. For example, a non-compliance report in the form of a single bit may use a bit 1 or 0 to indicate a non-compliance result; a bit sequence of length 1+n may use n additional bits to additionally indicate whether each specific requirement (e.g., the first to third requirements described above) is met, or the number of the specific requirement that is not met (n is a natural number).

[0118] In this way, the situation where the beam measurement results of the (candidate) measurement beam do not meet the requirements of the input data of the beam prediction model and the optional details of the above non-compliance can be shared between the UE and the electronic device 1000 on the network side, thereby facilitating the network side and / or UE side to perform corresponding subsequent processing based on this non-compliance.

[0119] An example signaling interaction in which the electronic device 1000 serving as a gNB obtains a non-compliance report from the terminal device UE can be shown in FIG. 4 described previously.

[0120] As shown in Figure 4, optionally, in order to enable the UE to perform the required beam measurement, the memory 1020 of the electronic device 1000 and the computer program code included therein can be configured to enable the electronic device 1000 to perform the following processing or operations through the processor 1010: sending information on the (candidate) measurement beam, i.e., the measurement resources of the beam set C (Set C) to the UE, and sending the (candidate) measurement beam of the beam set C to the UE.

[0121] Accordingly, as shown in FIG4 , the UE may receive and measure the (candidate) measurement beam sent by the electronic device 1000 serving as the gNB based on the received measurement resource information, and, if it is determined that the beam measurement result does not meet the requirements, generate and send a non-compliance report to the electronic device 1000 serving as the gNB. Optionally, the series of processes or operations performed by the electronic device 1000 may further include: for example, issuing a request (not shown) to the UE to provide beam measurement results based on the non-compliance report, and receiving, from the UE, for example, the beam measurement result sent in response to the request, to further understand relevant details.

[0122] [3.2 Example Processing]

[0123] Next, in combination with FIG. 5 to FIG. 9 described above, more example processes and related details that the memory 1020 of the electronic device 1000 and the computer program code included therein can enable the electronic device 1000 to perform through the processor 1010 will be briefly described.

[0124] (Example of reconfiguration and measurement in response to non-compliance report)

[0125] First, reference is made to Figure 5. As shown in Figure 5, the memory 1020 of the electronic device 1000 and the computer program code included therein can cause the electronic device 1000 to perform the following processing and / or operations through the processor 1010: configuring, based on the received non-compliance report, updated measurement resources for the UE to obtain beam measurement results, and generating and sending information about the configured updated measurement resources to the UE.

[0126] In addition, as shown in FIG5 , the processing and / or operations performed by electronic device 1000 may further include: using the updated measurement resources to send the corresponding (candidate) measurement beam to the UE. Accordingly, the UE may obtain, through beam measurement, an updated beam measurement result for the (candidate) measurement beam sent using the updated measurement resources.

[0127] In the first example of updating the measurement resources, the updated measurement resources configured by the electronic device 1000 may include updated time and / or frequency resources for the reference signal corresponding to the measurement beam (the downlink reference signal used to carry the measurement beam). In other words, the updated measurement resources may include updated time resources for the (candidate) measurement beams of the beam set C (also referred to as the original Set C) that have not changed in terms of beams. Accordingly, the information on the updated measurement resources generated and sent by the electronic device 1000 may indicate the updated time and / or frequency resources for the reference signal corresponding to the measurement beam. In a preferred example, the updated measurement resources may include updated time resources for the downlink reference signal used to carry the measurement beam, and the information on the updated measurement resources indicates the updated time resources.

[0128] In this way, for example, the existing (candidate) measurement beams in Set C can be used, but updated beam measurement results can be obtained through the retransmission by electronic device 1000 acting as the gNB and the remeasurement by the UE as described above. This prevents unsatisfactory beam measurement results, such as those caused by UE mobility temporarily placing the UE in an unfavorable position, from being interpreted as imperfect beam prediction models themselves, leading to various inappropriate decisions.

[0129] In the second example of updating measurement resources, alternatively (or additionally), the updated measurement resources configured by electronic device 1000 may include updated measurement beams, preferably including at least newly added measurement beams. In other words, the updated measurement resources may include measurement beams included in an updated beam set C (updated Set C).

[0130] The electronic device 1000 can determine the updated measurement beam in various ways, and these ways may be, for example, but not limited to: randomly specifying multiple beams from all possible, for example, 64 downlink beams, the number of which is greater than or equal to the number of beams in the original Set C; selecting several beams with a wider spatial range than the coverage of the beams in the original Set C from all possible, for example, 64 downlink beams; retaining all the beams of the original Set C, and then randomly specifying or specifying new beams from all possible, for example, 64 downlink beams based on the spatial coverage; when the electronic device 1000 receives a detailed non-compliance report and / or specific beam measurement results from the UE, only retaining beams with higher beam quality from the beams of the original Set C, and randomly specifying or specifying new beams from all possible, for example, 64 downlink beams based on the spatial coverage; and so on.

[0131] Accordingly, the updated measurement resource information generated and transmitted by the electronic device 1000 may indicate an updated measurement beam, and preferably at least a newly added measurement beam, and optionally also indicates measurement beams that can continue to be used among the existing measurement beams. In other words, the updated measurement resource information may indicate (candidate) measurement beams of the beam set C (updated Set C) that have undergone a beam change.

[0132] In this way, for example, updated beam measurement results can be obtained by using the updated (candidate) measurement beams of Set C through the retransmission by electronic device 1000 acting as the gNB and the remeasurement by the UE as described above. This prevents unsatisfactory beam measurement results caused by the spatial coverage of the original (candidate) measurement beams of Set C being unsuitable for the UE's current wireless mobility environment from being interpreted as imperfections in the beam prediction model itself, leading to various inappropriate decisions.

[0133] In actual applications, there may be situations where the updated beam measurement results obtained by the UE still do not meet the input data requirements of the beam prediction model (Set B requirements). Optionally, as shown in Figure 5, if the updated beam measurement results obtained do not meet the requirements, the UE may send an updated non-compliance report to electronic device 1000 serving as the gNB. Alternatively or additionally, the UE may send the updated beam measurement results obtained (regardless of whether they meet the requirements) to electronic device 1000 serving as the gNB.

[0134] The electronic device 1000 can make corresponding decisions based on the above-mentioned updated non-compliance report and / or updated beam measurement results received from the UE, including but not limited to: determining to switch back to the traditional beam management model; when the beam prediction model is deployed on the network side, determining that a model switch is required, and selecting another beam prediction model so that, for example, the updated beam measurement results meet the requirements of the beam prediction model (which may require a smaller Set B and / or lower beam quality than the current beam prediction model, etc.); and so on.

[0135] (Example of a beam prediction model deployed on the network side)

[0136] In the case where the beam prediction model is deployed on the network side, the memory 1020 of the electronic device 1000 serving as the gNB and the computer program code included therein can be configured to enable the electronic device 1000 to perform the following processing or operation through the processor 1010: receiving the beam measurement results obtained from the UE (regardless of whether they meet the input data requirements of the beam prediction model).

[0137] In one example, if a beam measurement result does not meet input requirements of a beam prediction model, electronic device 1000 may perform subsequent processing based on the beam measurement result and the received non-compliance report. As shown in FIG6 , the processing performed by electronic device 1000 as a gNB may include: selecting another beam prediction model so that the obtained beam measurement result meets the input beam measurement result requirements of the alternative beam prediction model (which may require a smaller Set B and / or lower beam quality than the current beam prediction model, etc.); and optionally, sending information related to the alternative beam prediction model to the UE. Subsequently, although not shown in the figure, the UE and electronic device 1000 as the gNB may use the alternative beam prediction model as the switched beam prediction model, for example, to perform beam prediction-related processing in various appropriate manners (e.g., conventional manners).

[0138] In another example, if the beam measurement results meet the input requirements of the beam prediction model, electronic device 1000 may use the beam measurement results that meet the requirements to obtain predicted beam information based on the beam prediction model. As shown in Figure 7, the processing performed by electronic device 1000 as a gNB may include using the beam measurement results that meet the input data requirements of the beam prediction model to obtain predicted beam information based on the beam prediction model.

[0139] Optionally, as shown in FIG7 , the processing performed by the electronic device 1000 serving as the gNB may further include: determining an optimal beam based on the predicted beam information, and performing data transmission using the optimal beam. Accordingly, the UE may perform the following processing or operations: determining that the corresponding signal quality is below a predetermined threshold; and sending a low-quality report and / or a handover request to the electronic device 1000 serving as the gNB. Upon receiving the low-quality report and / or handover request, the electronic device 1000 serving as the gNB may switch back to conventional beam management, or (attempt) switch to another beam prediction model (e.g., reselecting a model based on various criteria), or initiate a beam model supervision mechanism, etc., which will not be further described herein.

[0140] (Example of a case where the beam prediction model is deployed on the terminal side)

[0141] In the case where the beam prediction model is deployed on the terminal side, the UE does not necessarily send beam measurement results that do not meet the input data requirements of the beam prediction model to the electronic device 1000 as a network side device, but can directly switch the model, for example; the UE can also directly use the beam measurement results that meet the requirements for beam prediction.

[0142] As previously described, FIG8 illustrates, as an example, an exemplary signaling interaction between a UE and electronic device 1000, acting as a gNB, when beam measurement results do not meet requirements. As shown in FIG8 , electronic device 1000, acting as a gNB, may receive information related to an alternative beam prediction model (such as, but not limited to, identification information of the alternative beam prediction model, necessary application conditions, model switching-related delay, etc.) from the UE, wherein the beam measurement results obtained by the UE meet the input beam measurement results requirements of the alternative beam prediction model. Although not shown in the figure, electronic device 1000, acting as a gNB, and the UE may use the alternative beam prediction model as the beam prediction model after switching, for example, performing beam prediction-related processing in various appropriate manners (e.g., conventional manners).

[0143] Furthermore, as previously mentioned, as another example, FIG9 illustrates an exemplary signaling exchange between a UE and electronic device 1000, acting as a gNB, when beam measurement results meet requirements. As shown in FIG9 , electronic device 1000, acting as a gNB, may receive predicted beam information obtained by the UE from the UE. Subsequently, electronic device 1000, acting as the gNB, may perform a series of processes similar to those described in FIG7 , such as determining an optimal beam based on the predicted beam information, transmitting data using the optimal beam, receiving a low-quality report and / or a handover request, and making relevant decisions in response to the low-quality report and / or the handover request. These processes are not further described here.

[0144] [3.3 Others (Beam Prediction Model Training and Optimization)]

[0145] As previously mentioned, the beam prediction model involved in this disclosure can be implemented using a convolutional neural network (CNN). CNNs are very powerful when processing image data or data with spatial relationships and are suitable for location-related problems such as beam ID and RSRP. The beam prediction model can be obtained through a training or optimization process, such as the one schematically illustrated in FIG11 , and is preferably deployed on the network side, such as in an electronic device 1000 serving as a gNB. An example process for obtaining a CNN-based beam prediction model is briefly described herein.

[0146] (1) Data preparation:

[0147] A dataset of beam measurement results, including the beam ID (an example of identification information) and RSRP (an example of beam quality), can be collected and organized. Each beam measurement result includes information about the corresponding actual beam in use (such as the ID and RSRP of the actual beam in use). The dataset can be divided into a training set and a test set to ensure dataset balance.

[0148] (2) Model design:

[0149] The CNN architecture can be designed, including convolutional layers, pooling layers, and fully connected layers. The CNN input is the beam measurement results from the dataset, and the CNN output is the predicted beam information, including the beam ID and RSRP. For the beam ID, the last layer of the CNN uses a softmax activation function for multi-class classification. For RSRP regression, the last layer of the CNN uses a linear activation function (or no activation function) for regression prediction.

[0150] (3) Training and optimization:

[0151] You can train a CNN using the training set and choose an appropriate loss function (cross entropy loss or mean squared error loss). You can also choose an appropriate optimization algorithm, such as stochastic gradient descent (SGD) or the Adam algorithm, to minimize the loss function. You can improve model performance by adjusting CNN hyperparameters, including the learning rate and batch size.

[0152] (4) Model evaluation and tuning:

[0153] The trained CNN can be evaluated using a test set, typically using metrics such as accuracy or mean squared error (MSE). Based on the evaluation results, the model can be fine-tuned, which may require adjusting the network architecture or performing more training iterations.

[0154] Once the expected performance is met, the model can be deployed in practical applications, such as the electronic device 1000 on the network side described above (or alternatively, the electronic device 200 on the terminal side), for prediction of beam ID and RSRP.

[0155] <4. Method Example>

[0156] Corresponding to the above-mentioned device embodiments, the present disclosure provides the following method embodiments.

[0157] FIG12 is a flowchart illustrating a process example of a method for wireless communication according to the first embodiment of the present disclosure.

[0158] As shown in FIG12 , in step S11, a beam measurement result for the measurement beam may be obtained. In step S12, if the obtained beam measurement result does not meet the requirements of the beam prediction model for the input beam measurement result, a non-compliance report may be sent to the network side device.

[0159] As an example, the requirements may include one or more of the following: the number of measurement beams having a beam quality above a predetermined threshold; the beam quality of the measurement beams; or a ranking of the beam quality of the measurement beams. For example, the beam quality may include the absolute strength and / or relative strength of the measurement beams.

[0160] Optionally, although not shown in the figure, the method of an embodiment may further include: receiving from a network-side device information on updated measurement resources configured for the electronic device according to the non-compliance report for obtaining beam measurement results.

[0161] As an example, the information on updated measurement resources may indicate updated time and / or frequency resources of a reference signal corresponding to the measurement beam.

[0162] As another example, the information on the updated measurement resource may indicate an updated measurement beam, and for example may at least indicate a newly added measurement beam.

[0163] Optionally, although not shown in the drawings, the method of this embodiment may further include: obtaining an updated beam measurement result for the measurement beam sent using the updated measurement resource.

[0164] Optionally, although not shown in the figure, the method of this embodiment may also include one or more of the following items: sending the obtained updated beam measurement results to the network side device; or sending an updated non-compliance report to the network side device when the obtained updated beam measurement results do not meet the requirements.

[0165] In one example, the beam prediction model is deployed in a network-side device. In this case, although not shown in the figure, the method may further include: sending the obtained beam measurement result to the network-side device.

[0166] In another example, the beam prediction model is deployed in the electronic device. In this case, although not shown in the figure, the method may further include: selecting another beam prediction model so that the obtained beam measurement results meet the input beam measurement result requirements of the other beam prediction model; optionally, transmitting relevant information of the other beam prediction model to the network-side device. Additionally, although not shown in the figure, the method may further include: using the beam measurement results that meet the requirements to obtain predicted beam information based on the beam prediction model.

[0167] According to an embodiment of the present disclosure, the subject executing the above method may be the electronic device 200 according to the first embodiment of the present disclosure, and therefore all the above embodiments regarding the electronic device 200 are applicable hereto.

[0168] FIG13 is a flowchart illustrating a process example of a method for wireless communication according to the second embodiment of the present disclosure.

[0169] As shown in FIG13 , in step S21 , a non-compliance report may be received from the terminal device, where the report indicates that the beam measurement result of the measurement beam obtained by the terminal device does not comply with the requirement of the beam prediction model for the beam measurement result to be input.

[0170] As an example, the requirements may include one or more of the following: the number of measurement beams having a beam quality above a predetermined threshold; the beam quality of the measurement beams; or a ranking of the beam quality of the measurement beams. For example, the beam quality may include the absolute strength and / or relative strength of the measurement beams.

[0171] Optionally, although not shown in the figure, the method of an embodiment may also include: configuring updated measurement resources for obtaining beam measurement results for the terminal device based on the non-compliance report; and generating and sending information about the updated measurement resources to the terminal device.

[0172] As an example, the updated measurement resources may include updated time and / or frequency resources of a reference signal corresponding to the measurement beam.

[0173] As another example, the updated measurement resources may include updated measurement beams, for example, at least a newly added measurement beam.

[0174] Optionally, although not shown in the drawings, the method of this embodiment may further include: obtaining an updated beam measurement result for the measurement beam sent using the updated measurement resource.

[0175] Optionally, although not shown in the figure, the method of this embodiment may also include receiving one or more of the following items from the terminal device: an updated beam measurement result for the measurement beam sent using the updated measurement resource; or an updated non-compliance report indicating that the updated beam measurement result obtained by the terminal device does not meet the requirements.

[0176] In one example, the beam prediction model is deployed in a terminal device. In this case, although not shown in the figure, the method may further include: receiving information related to another beam prediction model from the terminal device, wherein the beam measurement result obtained by the terminal device meets the beam measurement result input requirements of the another beam prediction model.

[0177] In another example, the beam prediction model is deployed in a network-side electronic device that executes the method of this embodiment. In this case, although not shown in the figure, the method may further include: receiving, from the terminal device, beam measurement results obtained by the terminal device. Furthermore, although not shown in the figure, the method may further include: selecting another beam prediction model so that the beam measurement results obtained by the terminal device meet the requirements of the other beam prediction model for input beam measurement results; and / or using the beam measurement results that meet the requirements to obtain predicted beam information based on the beam prediction model.

[0178] According to an embodiment of the present disclosure, the subject executing the above method may be the electronic device 1000 according to the second embodiment of the present disclosure, and therefore all the above embodiments regarding the electronic device 1000 are applicable hereto.

[0179] <5. Application Examples>

[0180] The technology of the present disclosure can be applied to various products.

[0181] The electronic device according to the first embodiment is implemented on the terminal device side. The electronic device can be various user devices, which can be implemented as a terminal device (such as a smartphone, a tablet personal computer (PC), a notebook PC, a portable game terminal, a portable / dongle-type mobile router, and a digital camera) or a vehicle-mounted terminal (such as a car navigation device). The electronic 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 electronic device can be a wireless communication module (such as an integrated circuit module including a single chip) installed on each user device in the above-mentioned user devices.

[0182] The electronic device according to the second embodiment is implemented on the network side, such as the base station side, and 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). The 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 in a place different from the main body.

[0183] In addition, the electronic device according to the second embodiment can also be implemented as any type of TRP. The TRP can have both sending and receiving functions, for example, it can receive information from a terminal device and a base station device, and it can also send information to a terminal device and a base station device. In a typical example, the TRP can provide services to the terminal device and be controlled by the base station device. Furthermore, the TRP can have a structure similar to that of the base station device, or it can only have the structure of the base station device related to sending and receiving information.

[0184] [Application examples for base stations]

[0185] (First application example)

[0186] 14 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.

[0187] 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 FIG14 , eNB 1800 may include multiple antennas 1810. For example, multiple antennas 1810 may be compatible with multiple frequency bands used by eNB 1800. Although FIG14 shows an example in which eNB 1800 includes multiple antennas 1810, eNB 1800 may also include a single antenna 1810.

[0188] The base station device 1820 includes a controller 1821 , a memory 1822 , a network interface 1823 , and a wireless communication interface 1825 .

[0189] 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).

[0190] 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.

[0191] 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 .

[0192] As shown in FIG14 , 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 FIG14 , 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 FIG14 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.

[0193] In the eNB 1800 shown in FIG. 14 , the transceiver in the electronic device 1000 described previously with reference to FIG. 10 may be implemented via a wireless communication interface 1825 and an optional antenna 1810. At least some of the functions of the processor in the electronic device 1000 may be implemented by a controller 1821. The functions of the memory in the electronic device 1000 may be implemented by a memory 1822. For example, the controller 1821 may implement at least some of the functions of the processor by executing instructions stored in the memory 1822.

[0194] (Second application example)

[0195] FIG15 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.

[0196] 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 FIG15 , eNB 1930 may include multiple antennas 1940. For example, multiple antennas 1940 may be compatible with multiple frequency bands used by eNB 1930. Although FIG15 shows an example in which eNB 1930 includes multiple antennas 1940, eNB 1930 may also include a single antenna 1940.

[0197] 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.

[0198] 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. 14 , 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. 15 , the wireless communication interface 1955 may include multiple BB processors 1956. For example, multiple BB processors 1956 may be compatible with multiple frequency bands used by the eNB 1930. Although FIG. 15 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.

[0199] 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.

[0200] The RRH 1960 includes a connection interface 1961 and a wireless communication interface 1963 .

[0201] 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.

[0202] 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 FIG15 , the wireless communication interface 1963 may include multiple RF circuits 1964. For example, the multiple RF circuits 1964 may support multiple antenna elements. Although FIG15 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.

[0203] In the eNB 1930 shown in FIG. 15 , the transceiver in the electronic device 1000 described previously with reference to FIG. 10 may be implemented, for example, via the wireless communication interface 1963 and the optional antenna 1940. At least some of the functions of the processor in the electronic device 1000 may be implemented by the controller 1951. The functions of the memory in the electronic device 1000 may be implemented by the memory 1952. For example, the controller 1951 may implement at least some of the functions of the processor by executing instructions stored in the memory 1952.

[0204] [Application examples for terminal devices]

[0205] (First application example)

[0206] 16 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.

[0207] 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.

[0208] 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.

[0209] 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 FIG16 , the wireless communication interface 2012 may include multiple BB processors 2013 and multiple RF circuits 2014. Although FIG16 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.

[0210] 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.

[0211] 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 .

[0212] 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 FIG16 , the smartphone 2000 may include multiple antennas 2016. Although FIG16 shows an example in which the smartphone 2000 includes multiple antennas 2016, the smartphone 2000 may also include a single antenna 2016.

[0213] 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.

[0214] 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 FIG16 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.

[0215] In the smartphone 2000 shown in FIG16 , the transceiver in the electronic device 200 described previously with reference to FIG2 can be implemented via the wireless communication interface 2012 and the optional antenna 2016. At least some of the functions of the processor in the electronic device 200 can be implemented by the processor 2001 or the auxiliary controller 2019. The functions of the memory in the electronic device 200 can be implemented by the memory 2002 or the storage device 2003. For example, the processor 2001 or the auxiliary controller 2019 can implement at least some of the functions of the processor by executing instructions stored in the memory 2002 or the storage device 2003.

[0216] (Second application example)

[0217] 17 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.

[0218] 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.

[0219] 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).

[0220] 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.

[0221] 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 17, the wireless communication interface 2133 may include multiple BB processors 2134 and multiple RF circuits 2135. Although Figure 17 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.

[0222] 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.

[0223] 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.

[0224] 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 FIG17 , the car navigation device 2120 may include multiple antennas 2137. Although FIG17 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.

[0225] 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.

[0226] The battery 2138 supplies power to the respective blocks of the car navigation device 2120 shown in Fig. 17 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.

[0227] In the car navigation device 2120 shown in FIG17 , the transceiver in the electronic device 200 described previously with reference to FIG2 can be implemented via the wireless communication interface 2133 and the optional antenna 2137. At least part of the functionality of the processor in the electronic device 200 can be implemented by the processor 2121. The functionality of the memory in the electronic device 200 can be implemented by the memory 2122. For example, the processor 2121 can implement at least part of the functionality of the processor by executing instructions stored in the memory 2122.

[0228] 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.

[0229] 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.

[0230] 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.

[0231] 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.

[0232] 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.

[0233] Furthermore, the present disclosure may have configurations as described below.

[0234] 1. An electronic device on a terminal side, comprising:

[0235] at least one processor; and

[0236] at least one memory including computer program code, wherein the at least one memory and the computer program code are configured to, through the at least one processor, cause the electronic device to execute:

[0237] obtaining beam measurement results for the measurement beam; and

[0238] When the obtained beam measurement result does not meet the requirement of the beam prediction model for the beam measurement result to be input, a non-compliance report is sent to the network side device.

[0239] 2. The electronic device according to configuration 1, wherein the requirement includes one or more of the following:

[0240] the number of measurement beams having a beam quality above a predetermined threshold;

[0241] Measuring the beam quality of the beam; or

[0242] Measure the ranking of beam qualities of the beams.

[0243] 3. The electronic device of configuration 2, wherein the beam quality comprises measuring an absolute strength and / or relative strength of the beam.

[0244] 4. The electronic device of configuration 1, wherein the at least one memory and the computer program code are further configured to, through the at least one processor, cause the electronic device to execute:

[0245] Receive information on updated measurement resources configured for the electronic device according to the non-compliance report for obtaining beam measurement results from a network-side device.

[0246] 5. The electronic device according to configuration 4, wherein the information on updated measurement resources indicates updated time and / or frequency resources of a reference signal corresponding to the measurement beam.

[0247] 6. The electronic device according to configuration 4, wherein the information of the updated measurement resource indicates an updated measurement beam.

[0248] 7. The electronic device according to configuration 6, wherein the information of updating the measurement resources at least indicates a newly added measurement beam.

[0249] 8. The electronic device according to configuration 4, wherein the at least one memory and the computer program code are further configured to, through the at least one processor, cause the electronic device to execute:

[0250] An updated beam measurement result is obtained for the measurement beam sent using the updated measurement resource.

[0251] 9. The electronic device of configuration 8, wherein the at least one memory and the computer program code are further configured to, through the at least one processor, cause the electronic device to perform one or more of the following:

[0252] Sending the obtained updated beam measurement result to the network side device; or

[0253] When the obtained updated beam measurement result does not meet the requirement, an updated non-compliance report is sent to the network side device.

[0254] 10. The electronic device of configuration 1, wherein the beam prediction model is deployed in a network-side device, and wherein the at least one memory and the computer program code are further configured to, through the at least one processor, cause the electronic device to execute:

[0255] The obtained beam measurement results are sent to the network side device.

[0256] 11. The electronic device of configuration 1, wherein the beam prediction model is deployed in the electronic device.

[0257] 12. The electronic device of configuration 11, wherein the at least one memory and the computer program code are further configured to, through the at least one processor, cause the electronic device to execute:

[0258] Another beam prediction model is selected so that the obtained beam measurement result meets the requirements of the other beam prediction model for the beam measurement result to be input.

[0259] 13. The electronic device of configuration 12, wherein the at least one memory and the computer program code are further configured to, through the at least one processor, cause the electronic device to execute:

[0260] Send relevant information of the additional beam prediction model to the network side device.

[0261] 14. The electronic device of configuration 11, wherein the at least one memory and the computer program code are further configured to, through the at least one processor, cause the electronic device to execute:

[0262] The beam measurement results that meet the requirements are used to obtain predicted beam information based on the beam prediction model.

[0263] 15. A network-side electronic device, comprising:

[0264] at least one processor; and

[0265] at least one memory including computer program code, wherein the at least one memory and the computer program code are configured to, through the at least one processor, cause the electronic device to execute:

[0266] A non-compliance report is received from the terminal device, where the non-compliance report is used to indicate that a beam measurement result of a measurement beam obtained by the terminal device does not comply with a requirement of a beam prediction model for a beam measurement result to be input.

[0267] 16. The electronic device of configuration 15, wherein the requirement comprises one or more of the following:

[0268] the number of measurement beams having a beam quality above a predetermined threshold;

[0269] Measuring the beam quality of the beam; or

[0270] Measure the ranking of beam qualities of the beams.

[0271] 17. The electronic device of configuration 16, wherein the beam quality comprises measuring an absolute strength and / or a relative strength of the beam.

[0272] 18. The electronic device of configuration 15, wherein the at least one memory and the computer program code are further configured to, through the at least one processor, cause the electronic device to execute:

[0273] configuring, for the terminal device, updated measurement resources for obtaining beam measurement results based on the non-compliance report; and

[0274] Generate and send the information of updating the measurement resource to the terminal device.

[0275] 19. The electronic device according to configuration 18, wherein the updated measurement resources include updated time and / or frequency resources of a reference signal corresponding to the measurement beam.

[0276] 20. The electronic device of configuration 18, wherein the updated measurement resource comprises an updated measurement beam.

[0277] 21. The electronic device according to configuration 20, wherein the updated measurement beam includes at least a newly added measurement beam.

[0278] 22. The electronic device of configuration 18, wherein the at least one memory and the computer program code are further configured to, through the at least one processor, cause the electronic device to execute:

[0279] Receive one or more of the following from the terminal device:

[0280] an updated beam measurement result for the measurement beam sent using the updated measurement resource; or

[0281] The updated non-compliance report is used to indicate that the updated beam measurement results obtained by the terminal device do not meet the requirements.

[0282] 23. An electronic device as described in configuration 15, wherein the beam prediction model is deployed in the terminal device.

[0283] 24. The electronic device of configuration 23, wherein the at least one memory and the computer program code are further configured to, through the at least one processor, cause the electronic device to execute:

[0284] Relevant information of another beam prediction model is received from the terminal device, wherein the beam measurement result obtained by the terminal device meets the requirements of the other beam prediction model for the beam measurement result to be input.

[0285] 25. The electronic device of configuration 15, wherein a beam prediction model is deployed in the electronic device, and wherein the at least one memory and the computer program code are further configured to, through the at least one processor, cause the electronic device to execute:

[0286] A beam measurement result obtained by the terminal device is received from the terminal device.

[0287] 26. The electronic device of configuration 25, wherein the at least one memory and the computer program code are further configured to, through the at least one processor, cause the electronic device to execute:

[0288] Another beam prediction model is selected so that the beam measurement result obtained by the terminal device meets the requirements of the other beam prediction model for the beam measurement result to be input.

[0289] 27. The electronic device of configuration 25, wherein the at least one memory and the computer program code are further configured to, through the at least one processor, cause the electronic device to execute:

[0290] The beam measurement results that meet the requirements are used to obtain predicted beam information based on the beam prediction model.

[0291] 28. A method for wireless communication, comprising:

[0292] obtaining beam measurement results for the measurement beam; and

[0293] When the obtained beam measurement result does not meet the requirement of the beam prediction model for the beam measurement result to be input, a non-compliance report is sent to the network side device.

[0294] 29. A method for wireless communication, comprising:

[0295] A non-compliance report is received from the terminal device, where the non-compliance report is used to indicate that a beam measurement result of a measurement beam obtained by the terminal device does not comply with a requirement of a beam prediction model for a beam measurement result to be input.

[0296] 30. A non-transitory computer-readable storage medium storing a computer program code, wherein the computer program code causes a processor included in an electronic device to cause the electronic device to execute the method according to configuration 28 or 29.

[0297] 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 on the terminal side, comprising: At least one processor; And At least one memory, including computer program code, wherein the at least one memory and the computer program code are configured to, through the at least one processor, cause the electronic device to perform: Obtain a beam measurement result for a measurement beam; And In the case where the obtained beam measurement result does not meet the requirements of the beam prediction model for the beam measurement result to be input, send a non - compliance report to the network - side device.

2. The electronic device according to claim 1, wherein, The requirements include one or more of the following: The number of measurement beams with a beam quality above a predetermined threshold; The beam quality of the measurement beam; or The ranking of the beam quality of the measurement beam.

3. The electronic device according to claim 2, wherein, The beam quality includes the absolute intensity and / or relative intensity of the measurement beam.

4. The electronic device according to claim 1, wherein, The at least one memory and the computer program code are further configured to, through the at least one processor, cause the electronic device to perform: Receive, from the network - side device, information on updated measurement resources for obtaining beam measurement results configured for the electronic device according to the non - compliance report.

5. The electronic device according to claim 4, wherein, The information on the updated measurement resources indicates the updated time and / or frequency resources of the reference signal corresponding to the measurement beam.

6. The electronic device according to claim 4, wherein The information on the updated measurement resources indicates the updated measurement beam.

7. The electronic device according to claim 6, wherein, The information on the updated measurement resources indicates at least the newly added measurement beam.

8. The electronic device according to claim 4, wherein The at least one memory and the computer program code are further configured to, through the at least one processor, cause the electronic device to perform: Obtain an updated beam measurement result for the measurement beam transmitted using the updated measurement resources.

9. The electronic device according to claim 8, wherein, The at least one memory and the computer program code are further configured to, through the at least one processor, cause the electronic device to perform one or more of the following: Send the obtained updated beam measurement result to the network - side device; or In the case where the obtained updated beam measurement result does not meet the requirements, send an updated non - compliance report to the network - side device.

10. The electronic device according to claim 1, wherein, The beam prediction model is deployed in the network - side device, and wherein the at least one memory and the computer program code are further configured to, through the at least one processor, cause the electronic device to perform: Send the obtained beam measurement result to the network - side device.

11. The electronic device according to claim 1, wherein, The beam prediction model is deployed in the electronic device.

12. The electronic device according to claim 11, wherein, The at least one memory and the computer program code are further configured to, through the at least one processor, cause the electronic device to perform: Select another beam prediction model so that the obtained beam measurement result meets the requirements of the another beam prediction model for the beam measurement result to be input.

13. The electronic device according to claim 12, wherein, The at least one memory and the computer program code are further configured to, through the at least one processor, cause the electronic device to perform: Send the relevant information of the another beam prediction model to the network - side device.

14. The electronic device according to claim 11, wherein, The at least one memory and the computer program code are further configured to, through the at least one processor, cause the electronic device to perform: Obtain prediction beam information based on the beam prediction model using the beam measurement result that meets the requirements.

15. An electronic device on the network side, comprising: At least one processor; and at least one memory including computer program code, wherein the at least one memory and the computer program code are configured to, by means of the at least one processor, cause the electronic device to perform: Receiving a non - compliance report from a terminal device, the non - compliance report being used to indicate that the beam measurement result of the measurement beam obtained by the terminal device does not meet the requirements of the beam prediction model for the beam measurement result to be input.

16. The electronic device according to claim 15, wherein, The requirements include one or more of the following: The number of measurement beams having a beam quality above a predetermined threshold; The beam quality of the measurement beam; or The ranking of the beam quality of the measurement beam.

17. The electronic device according to claim 16, wherein, The beam quality includes the absolute intensity and / or relative intensity of the measurement beam.

18. The electronic device according to claim 15, wherein, The at least one memory and the computer program code are further configured to, by means of the at least one processor, cause the electronic device to perform: Configuring, according to the non - compliance report, updated measurement resources for the terminal device to obtain beam measurement results; and Generating and sending information on the updated measurement resources to the terminal device.

19. The electronic device according to claim 18, wherein The updated measurement resources include updated time and / or frequency resources of reference signals corresponding to the measurement beams.

20. The electronic device according to claim 18, wherein, The updated measurement resources include updated measurement beams.

21. The electronic device according to claim 20, wherein, The updated measurement beams at least include newly added measurement beams.

22. The electronic device according to claim 18, wherein, The at least one memory and the computer program code are further configured to, by means of the at least one processor, cause the electronic device to perform: Receiving from the terminal device one or more of the following: Updated beam measurement results for the measurement beams sent using the updated measurement resources; or An updated non - compliance report for indicating that the updated beam measurement results obtained by the terminal device do not meet the requirements.

23. The electronic device according to claim 15, wherein, The beam prediction model is deployed in the terminal device.

24. The electronic device according to claim 23, wherein, The at least one memory and the computer program code are further configured to, by means of the at least one processor, cause the electronic device to perform: Receiving relevant information on an additional beam prediction model from the terminal device, wherein the beam measurement results obtained by the terminal device meet the requirements of the additional beam prediction model for the beam measurement results to be input.

25. The electronic device according to claim 15, wherein, The beam prediction model is deployed in the electronic device, and wherein the at least one memory and the computer program code are further configured to, by means of the at least one processor, cause the electronic device to perform: Receiving the beam measurement results obtained by the terminal device from the terminal device.

26. The electronic device according to claim 25, wherein, The at least one memory and the computer program code are further configured to, by means of the at least one processor, cause the electronic device to perform: Selecting an additional beam prediction model so that the beam measurement results obtained by the terminal device meet the requirements of the additional beam prediction model for the beam measurement results to be input.

27. The electronic device according to claim 25, wherein, The at least one memory and the computer program code are further configured to, by means of the at least one processor, cause the electronic device to perform: Obtaining prediction beam information based on the beam prediction model using the beam measurement results that meet the requirements.

28. A method for wireless communication, including: Obtaining a beam measurement result for a measurement beam; and In a case where the obtained beam measurement result does not meet the requirements of the beam prediction model for the beam measurement result to be input, send a non-compliance report to the network-side device.

29. A method for wireless communication, comprising: Receiving, from a terminal device, a non-compliance report for indicating that a beam measurement result of a measured beam obtained by the terminal device does not meet the requirements of a beam prediction model for a beam measurement result to be input.

30. A non-transitory computer-readable storage medium storing computer program code, the computer program code causing an electronic device to perform the method according to claim 28 or 29 through a processor included in the electronic device.

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