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

Abstract

An electronic device, a method for wireless communication, and a computer readable storage medium are provided. An electronic device on a terminal side may include 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, by the at least one processor, to cause the electronic device to perform: obtaining a beam measurement result for a measurement beam; and under the condition that the obtained beam measurement result does not meet the requirement of the beam prediction model on the beam measurement result to be input, a non-conformance report is sent to the network side equipment.

Description

Technical Field

[0001] The present application relates to the field of wireless communication technologies, and more particularly, to an electronic device, a method for wireless communication, and a computer-readable storage medium that facilitate sharing information related to input data of a beam prediction model between a network side and a user equipment (UE) side. Background Art

[0002] With the development of Artificial Intelligence (AI) / Machine Learning (ML) technologies, the application of AI / ML models in the field of wireless communication has received increasing attention.

[0003] Currently, using the prediction results of a beam prediction model based on an AI / ML model for beam management is one of the important research directions. The beam prediction model can be trained with beam measurement results for measured beams as historical data, and the trained beam prediction model can be used to obtain predicted beam information based on, for example, currently obtained beam measurement results. In this way, by using the predicted beam information for beam management, the traditional beam scanning process can be at least partially replaced to reduce overhead.

[0004] To effectively utilize the beam prediction model, there may be certain requirements for the input data of the beam prediction model (i.e., the beam measurement results to be input). Summary of the Invention

[0005] A brief overview of the present disclosure is given 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 the key or important parts of the present disclosure, nor is it intended to limit the scope of the present disclosure. Its purpose is merely to present certain concepts of the present disclosure in a simplified form as a prelude to the more detailed description that follows.

[0006] 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 that can share the situation where the beam measurement results do not meet the requirements of the beam prediction model for input data (also simply referred to as the requirements of the beam prediction model for input or "requirements") between the network side and the UE side, so as to facilitate the network side and / or the UE side to perform corresponding subsequent processing based on this non-compliance.

[0007] According to a first aspect of the present disclosure, there is provided an electronic device on the terminal side, 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 perform: obtaining a beam measurement result for a measurement beam; and when the obtained beam measurement result does not meet the requirements of the beam prediction model for the beam measurement result to be input, sending a non-compliance report to a network-side device.

[0008] According to a first aspect of the present disclosure, there is also provided a method for wireless communication, the method including: obtaining a beam measurement result for a measurement beam; and when the obtained beam measurement result does not meet the requirements of the beam prediction model for the beam measurement result to be input, sending a non-compliance report to a network-side device.

[0009] According to a second aspect of the present disclosure, there is also provided an electronic device on the network side, 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 perform: receiving a non-compliance report from a terminal device, the report indicating 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.

[0010] According to a second aspect of the present disclosure, there is also provided a method for wireless communication, the method including: receiving a non-compliance report from a terminal device, the report indicating 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.

[0011] According to another aspect of the present disclosure, there is also provided a non-transitory computer-readable storage medium storing computer program code, the computer program code causing, through a processor included in an electronic device, the electronic device to perform the method for wireless communication provided according to the above first aspect or second aspect.

[0012] According to other aspects of the present disclosure, there are also provided computer program code and a computer program product for implementing the method according to the present disclosure as described above.

[0013] 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 result does 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.

[0014] In the following description of the specification, other aspects of the embodiments of the present disclosure are given, in which the preferred embodiments for fully disclosing the embodiments of the present disclosure are described in detail without imposing limitations thereon. Description of the Drawings

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

[0016] Figure 1 is a schematic diagram for illustrating beam prediction using a beam prediction model;

[0017] Figure 2 is a block diagram showing a configuration example of an electronic device according to a first embodiment of the present disclosure;

[0018] Figure 3A and Figure 3B is a flowchart of an example signaling interaction for illustrating the sharing of relevant information of a beam prediction model between an electronic device (UE) on the terminal side and a network-side device (gNB);

[0019] Figure 4 is a flowchart of an example signaling interaction for illustrating a UE sending a non-compliance report to a gNB;

[0020] Figure 5 is a flowchart of an example signaling interaction for illustrating a UE and a gNB in the case where the beam measurement result does not meet the requirements;

[0021] Figure 6 is a flowchart of an example signaling interaction for illustrating a UE and a gNB in the case where the beam measurement result does not meet the requirements when the beam prediction model is deployed on the network side;

[0022] Figure 7 is a flowchart of an example signaling interaction for illustrating a UE and a gNB in the case where the beam measurement result meets the requirements when the beam prediction model is deployed on the network side;

[0023] Figure 8 is a flowchart of an example signaling interaction for illustrating a UE and a gNB in the case where the beam measurement result does not meet the requirements when the beam prediction model is deployed on the terminal side;

[0024] Figure 9 is a flowchart of an example signaling interaction for illustrating a UE and a gNB in the case where the beam measurement result meets the requirements when the beam prediction model is deployed on the terminal side;

[0025] Figure 10 is a block diagram showing a configuration example of an electronic device according to a second embodiment of the present disclosure;

[0026] Figure 11 is a schematic diagram for explaining the training or optimization process of a beam prediction model;

[0027] Figure 12 is a flowchart showing a process example of a method for wireless communication according to a first embodiment of the present disclosure;

[0028] Figure 13 is a flowchart showing a process example of a method for wireless communication according to a second embodiment of the present disclosure;

[0029] Figure 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;

[0030] Figure 15 is a block diagram showing a second example of a schematic configuration of an eNB to which the technology of the present disclosure can be applied;

[0031] Figure 16 is a block diagram showing an example of a schematic configuration of a smart phone to which the technology of the present disclosure can be applied;

[0032] Figure 17 is a block diagram showing an example of a schematic configuration of an in-vehicle navigation device to which the technology of the present disclosure can be applied.

[0033] Although 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 herein described in detail. It should be understood, however, that the description of specific embodiments herein is not intended to limit the present disclosure to the particular forms disclosed, but on the contrary, the present disclosure is intended to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present disclosure. It should be noted that throughout the several views, corresponding reference numerals indicate corresponding parts. Detailed Description of Specific Embodiments

[0034] 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, its application, or uses.

[0035] Exemplary embodiments are provided so that the present disclosure will be thorough and will fully convey the scope to those skilled in the art. Numerous specific details are set forth such as examples of specific components, devices, and methods to provide a thorough understanding of 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 exemplary embodiments may be embodied in many different forms, and neither should they be construed as limiting the scope of the present disclosure. In some exemplary embodiments, well-known processes, well-known structures, and well-known technologies have not been described in detail.

[0036] It will be described in the following order:

[0037] 1. Overview

[0038] 2. Configuration example of the electronic device of the first embodiment

[0039] 2.1 Configuration example

[0040] 2.2 Example processing

[0041] 3. Configuration example of the electronic device of the second embodiment

[0042] 3.1 Configuration example

[0043] 3.2 Example processing

[0044] 3.3 Others (training and optimization of beam prediction model)

[0045] 4. Method embodiment

[0046] 5. Application example

[0047] <1. Overview>

[0048] As a preface, the beam prediction model and its application in beam management will be briefly introduced first.

[0049] As described above, the beam prediction model based on the AI / ML model can be trained with the historical data of beam measurements, and the trained model can be used to predict beam information. The AI / ML models used by the beam prediction model can include various categories, such as but not limited to neural networks (such as Convolutional Neural Networks (CNN), etc., and the present disclosure does not limit this).

[0050] As an example, beam management use case 1 (BM-Case1) for airspace downlink beam prediction discussed in recent 3rd Generation Partnership Project (3GPP) meetings regarding beam management based on the AI / ML model can be considered. In downlink beam prediction such as BM-Case1, as Figure 1 schematically shown in, the trained beam prediction model based on the AI / ML model can take the beam measurement results of the (downlink) measurement beams in beam set B (Set B) as input and output the beam prediction information of the (downlink) candidate beams in beam set A (Set A), where beam set B can be different from beam set A or can be a subset of beam set A.

[0051] Here, the beam measurement results input to the beam prediction model may, for example, include or indicate identification information (such as beam ID) for each measurement beam in the beam set B and the beam quality obtained through measurement, and may optionally include other relevant information that can determine the quality of the measurement beam, etc. In addition, the predicted beam information output by the beam prediction model may, for example, include or indicate the identification information (such as beam ID) of each of the beams that are the predicted beams among the candidate beams in the beam set A and the beam quality of each predicted beam. In addition, the predicted beam information may optionally further include or indicate the probability that each predicted beam is the optimal beam (and optional related confidence) and / or other relevant information that can determine the priority of the predicted beam, etc.

[0052] Here, the predicted beams output by the beam prediction model may, for example, be the top N candidate beams with the highest beam quality among all the candidate beams in the beam set A, or L candidate beams with a beam quality above a predetermined threshold, where N and L are natural numbers. The beam quality may include the absolute or relative intensity of the beam, such as the Reference Signal Receiving Power (RSRP) or L1-RSRP. In addition, the beam quality may also include the Signal to Interference plus Noise Ratio (SINR), etc.

[0053] In beam management, the predicted beam information obtained using the above beam prediction model can be used to replace to a certain extent the beam measurement results obtained through the existing beam scanning or beam measurement process, thereby reducing overhead.

[0054] In, for example, Figure 1 In the usage example of the beam prediction model as shown, in order to ensure the quality of the input data to obtain good prediction performance, the beam prediction model may have certain requirements for the input data, that is, there are certain screening criteria for the beam set B (or its measurement results). For example, the screening criteria may include that the beam set B should include at least a specified number of measurement beams and the beam quality of each measurement beam is above a predetermined threshold, etc.

[0055] To obtain beam measurement results for the beam set B that meet the requirements, the network side (such as a base station, etc.) may pre-configure measurement resources for the (candidate) measurement beams of the beam set C (Set C) for the UE based on relevant information of the beam prediction model, etc., for measurement, and randomly select or select at least a specified number of beams from those beams whose beam measurement results meet the screening criteria (such as the beam quality being above a predetermined threshold) based on additional criteria, to form the beam set B whose beam measurement results are input into the model. Here, the number of beams in the beam set C may be greater than the specified number, and preferably covers a wider spatial range.

[0056] However, even when the UE performs beam measurements on all the beams of the beam set C (Set C), the obtained beam measurement results may not meet the requirements (unable to form the required beam set B). In this case, if the above non-compliance is ignored and the beam measurement results are directly input into the beam prediction model without any additional processing, it may lead to a decline in the prediction performance of the model.

[0057] In view of the above situation, the inventors 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, send a non-compliance report to the network side device, so as to share the above non-compliance situation between the network side and the UE side, thereby facilitating the network side and / or the UE side to perform corresponding subsequent processing based on this non-compliance.

[0058] Next, the device / method embodiments and various preferred examples and processes based on the above inventive concept will be continued to be described in combination with Figure 1 the example of the beam prediction model. Note that although the following downlink beams are used as examples of measurement beams, and the application background of the present disclosure is introduced and the subsequent detailed description is carried out by taking the UE obtaining beam measurement results and sending a non-compliance report to the network side as an example, 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 beams can be uplink beams, and the network side can obtain beam measurement results and send non-compliance messages similar to non-compliance reports to the UE, etc.), which will not be elaborated here.

[0059] <2. Configuration example of the electronic device of the first embodiment>

[0060] [2.1 Configuration example]

[0061] Figure 2 is a block diagram showing a configuration example of an electronic device according to a first embodiment of the present disclosure.

[0062] As Figure 2As shown, 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 related processing or operations via the processor 210. Optionally, the memory 220 may also be configured to store various data and information, etc. 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 and the computer program code included therein and the processor 210.

[0063] In the context of the present disclosure, when necessary, the processing and operations performed by the electronic device 200 may be implemented by other components (such as the optional transceiver 230) in addition to the processor 210 and the memory 220UI in the electronic device 200, but the implementation details of these other components are not the focus of the present invention, so no further description will be given.

[0064] Here, each component of the electronic device 200 (such as, but not limited to, the processor, the memory, and / or the transceiver, etc.) may be included in the processing circuit. It should be noted that the electronic device 200 may include either one processing circuit or multiple processing circuits. Further, the processing circuit may include various discrete functional units to perform various different functions and / or operations. It should be noted that these functional units may be physical entities or logical entities, and units with different names may be implemented by the same physical entity.

[0065] In addition, although Figure 2 an example is schematically shown 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 respectively replace the above-mentioned processor, memory, and / or transceiver, and they respectively have exactly the same or similar functions and / or configurations as the processor, memory, and / or transceiver described herein, which will not be elaborated here.

[0066] In this embodiment, the electronic device 200 is a device on the terminal side. 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 (such as a network-side device such as a gNB) deployed with the beam prediction model 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 it can directly obtain predicted beam information based on the beam measurement results by using this model (and share relevant information with the network-side device). The present disclosure has no particular limitation in this regard. Whether the beam prediction model is deployed on the terminal side or the network side, preferably, relevant information of the beam prediction model is shared in advance between the two. Figure 3A and Figure 3B Schematically shows an example signaling interaction of sharing relevant information of the beam prediction model between the electronic device 200 as the UE and the network-side device gNB in two cases.

[0067] The relevant information of the beam prediction model shared between the terminal side and the network side is, for example but not limited to, the identification information (model ID) of the model, 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, etc. Here, as described in the example above with reference to Figure 1 The requirements of the beam prediction model for the input data can be understood as the requirements for the beam measurement results of the measurement beams such as the beam set B to be input. Therefore, in this article, without causing confusion, this requirement can also be simply referred to as the requirement of the beam set B or the Set B requirement.

[0068] 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 cause the electronic device 200 to perform the following processing or operations through the processor 210: obtain beam measurement results for measurement beams; and send a non-compliance report to the network-side device when the obtained beam measurement results do not meet the requirements of the beam prediction model for the beam measurement results to be input.

[0069] Figure 4 Is a flowchart for illustrating an example signaling interaction in which the electronic device 200 as the UE sends a non-compliance report to the network-side device gNB (which has the configuration and function of the electronic device 1000 in the second embodiment described later, for example). Next, the example processing performed by the electronic device 200 and further details will be described in combination with Figure 4 Describe the example processing and further details performed by the electronic device 200.

[0070] As Figure 4As shown, optionally, the gNB may send information on the measurement resources of the (candidate) measurement beams, i.e., beam set C (Set C), to the electronic device 200 serving as a UE. The above information may include, for example, the (measurement) configuration information of the downlink reference signal (reference signal corresponding to the (candidate) measurement beam) for carrying the (candidate) measurement beams in beam set C, to indicate the time-frequency resources of the downlink reference signal, beam information (e.g., beam identification information such as beam ID), and / or measurement items (e.g., RSRP (L1-RSRP)), etc. In one example, the downlink reference signal carrying the (candidate) measurement beams may be, for example, a non-periodic non-zero power channel state information reference signal (nzp-CSI-RS) resource set. In the case of a non-periodic reference signal, optionally, the above information on the measurement resources may further include, for example, the DCI trigger command sent subsequently, which will not be elaborated here.

[0071] Next, as Figure 4 shown, the gNB may send the (candidate) measurement beams of beam set C to the electronic device serving as a UE.

[0072] Accordingly, the memory 220 of the electronic device 200 and the computer program code included therein may cause the electronic device 200 to perform the following series of processes or operations via the processor 210: For example, according to the received information on the measurement resources, receive and measure the (candidate) measurement beams sent by the gNB, that is, obtain a beam measurement result via beam measurement of the (candidate) measurement beams in beam set C.

[0073] The series of processes or operations performed by the electronic device 200 may further include: judging whether the obtained beam measurement result meets the requirements based on the requirements of the beam prediction model for the input data; further, as Figure 4 shown, when it is determined that the requirements are not met, generate and send a non-compliance report to the network-side device.

[0074] As an example, the requirements (Set B requirements) of the beam prediction model for the beam measurement result to be input may include one or more of the following: the number of measurement beams with a 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). Here, the beam quality may include the absolute intensity or relative intensity of the measurement beam, such as RSRP or L1-RSRP. In addition, the beam quality may further include SINR, etc.

[0075] Accordingly, the non-conformance 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-conformance report in the form of a single bit may use bit 1 or 0 to represent the result of non-conformance; a bit sequence of length 1 + n may additionally use n additional bits to represent whether each specific requirement (such as the first to third requirements above) is met, or to represent the number of the specific requirement that is not met (n is a natural number).

[0076] In this way, the situation where the beam measurement result of the (candidate) measurement beam does not meet the requirements of the input data of the beam prediction model can be shared between the electronic device 200 as a UE and a device on the network side such as a gNB, along with the optional details of the above non-conformance, thus facilitating subsequent corresponding processing on the network side and / or the UE side based on this non-conformance.

[0077] In one example, as Figure 4 shown, optionally, a series of processes or operations performed by the electronic device 200 may further include: in addition to the above non-conformance report, for example, in response to a requirement (not shown) from the gNB to the UE to provide beam measurement results based on the non-conformance report, sending the obtained beam measurement results to the network side device for the network side device to further understand the relevant details.

[0078] [2.2 Example Processing]

[0079] Next, in conjunction with Figures 5 to 9 , more example processing performed by the electronic device 200 and related details that the computer program code included in the memory 220 of the electronic device 200 can also cause the electronic device 200 to perform through the processor 210 will be described.

[0080] (Example of Reconfiguration and Measurement in Response to Non-Conformance Report)

[0081] First, refer to Figure 5 , which shows an example signaling interaction between the electronic device 200 as a UE and the network side device gNB when the measurement result does not meet the requirements.

[0082] As Figure 5 shown, the gNB may, according to the received non-conformance report, configure updated measurement resources for the electronic device 200 as a terminal device UE to obtain beam measurement results, and may generate and send information on the configured updated measurement resources to the UE.

[0083] Next, the gNB may send the corresponding (candidate) measurement beam to the UE using the updated measurement resources.

[0084] Accordingly, the memory 220 of the electronic device 200 as a UE and the computer program code included therein can be configured to cause the electronic device 200 to perform the following series of processes or operations via the processor 210: for example, obtain updated beam measurement results for measurement beams transmitted using updated measurement resources via beam measurement.

[0085] In a first example of the updated measurement resources, the updated measurement resources configured by the gNB for the electronic device 200 as a UE may include updated time and / or frequency resources of a reference signal corresponding to the measurement beam (downlink reference signal for carrying the measurement beam). In other words, the updated measurement resources may include the updated time resources of the (candidate) measurement beams of the beam set C (which may also be referred to as the original Set C) that has not changed in terms of the beam. Accordingly, the information of the updated measurement resources generated and transmitted by the gNB may indicate the updated time and / or frequency resources of the reference signal corresponding to the measurement beam. In a preferred example, the updated measurement resources may include the updated time resources of the downlink reference signal for carrying the measurement beam, and the information of the updated measurement resources indicates the updated time resources.

[0086] In this way, for example, the (candidate) measurement beams of the original Set C can be used, but updated beam measurement results are obtained via the retransmission by the network-side device gNB described above and the remeasurement by the electronic device 200 as a UE. Accordingly, it is possible to avoid improper decisions such as considering the unsatisfactory beam measurement results caused by the UE being temporarily in an unfavorable position (e.g., accidentally in an occluded position) due to UE mobility as the unsatisfactory of the beam prediction model itself, and then resulting in model switching, starting model supervision, or even reverting to the traditional beam management mode (i.e., the mode without using the beam prediction model).

[0087] In a second example of the updated measurement resources, alternatively (or additionally), the updated measurement resources configured by the gNB for the electronic device 200 as a UE may include updated measurement beams, and these updated measurement beams preferably include at least newly added measurement beams. In other words, the updated measurement resources may include the measurement beams included in the updated beam set C (updated Set C).

[0088] The gNB can determine the updated measurement beams in various ways, which can be, for example but not limited to: randomly specifying multiple beams from all possible, e.g., 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, e.g., 64 downlink beams, whose spatial range is wider than the coverage range of the beams in the original Set C; retaining all the beams in the original Set C, and then randomly specifying or specifying additional beams based on the spatial coverage from all possible, e.g., 64 downlink beams; in the case where the gNB receives a detailed non - compliance report and / or specific beam measurement results from the UE, only retaining the beams with higher beam quality among the beams in the original Set C, and randomly specifying or specifying additional beams based on the spatial coverage from all possible, e.g., 64 downlink beams; and so on.

[0089] Accordingly, the information of the updated measurement resources generated and sent by the gNB can indicate the updated measurement beams, and preferably at least indicate the additional measurement beams, and optionally also indicate the measurement beams in the original measurement beams that can still be used. In other words, the information of the updated measurement resources can indicate the (candidate) measurement beams of the beam set C (updated Set C) whose beams have changed in terms of beams.

[0090] In this way, for example, the (candidate) measurement beams of the updated Set C can be used to obtain updated beam measurement results through the re - transmission of the above - described network - side device gNB and the re - measurement of the electronic device 200 serving as the UE. Accordingly, it is possible to avoid the situation where the unsatisfactory beam measurement results caused by the inapplicability of the spatial coverage of the (candidate) measurement beams in the original Set C to the current radio mobile environment of the UE are regarded as the unsatisfactory beam prediction model itself, and then lead to improper decisions such as model switching, starting model supervision, or even reverting to the traditional beam management mode.

[0091] In practical applications, there is a situation where the updated beam measurement results obtained by the electronic device 200 serving as the UE still do not meet the requirements (Set B requirements) of the input data of the beam prediction model. Optionally, as Figure 5 shown, a series of processes or operations performed by the electronic device 200 can also include: sending an updated non - compliance report to the network - side device (gNB) in the case where the obtained updated beam measurement results do not meet the requirements; and alternatively or additionally, sending the obtained updated beam measurement results (regardless of whether they meet the above requirements) to the network - side device (gNB).

[0092] The network - side device gNB can make corresponding decisions based on the above - mentioned updated non - compliance reports 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 initiate the supervision of the beam prediction model; in the case where the beam prediction model is deployed on the network side, determining that a model switch is required, and optionally 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.

[0093] (Example in the case where the beam prediction model is deployed on the network side)

[0094] For the case where the beam prediction model is deployed on the network side, the memory 220 of the electronic device 200 as a UE and the computer program code included therein can be configured to cause the electronic device 200 to perform the following processing or operations through the processor 210: sending the obtained beam measurement results (regardless of whether they meet the requirements of the input data of the beam prediction model) to the network - side device.

[0095] In one example, when the beam measurement results do not meet the input requirements of the beam prediction model, the network - side device can perform subsequent processing based on the beam measurement results and the received non - compliance reports. Figure 6 An example of the signaling interaction between the electronic device 200 as a UE and the gNB in this example case is shown. As Figure 6 shown, the gNB can select another beam prediction model so that the obtained beam measurement results meet the requirements of the other beam prediction model for the input beam measurement results (which may require a smaller Set B and / or lower beam quality than the current beam prediction model, etc.). In addition, the gNB can also send the relevant information of the other beam prediction model to the UE. Then, although not shown in the figure, the UE and the gNB can use the other beam prediction model as the switched - to beam prediction model and perform beam - related processing in various appropriate ways (such as existing ways), for example.

[0096] In another example, when the beam measurement results meet the input requirements of the beam prediction model, the network - side device can obtain predicted beam information based on the beam prediction model using the beam measurement results that meet the requirements. Figure 7 An example of the signaling interaction between the electronic device 200 as a UE and the gNB in this example case is shown. As Figure 7 shown, the gNB can obtain predicted beam information based on the beam prediction model using the beam measurement results that meet the requirements of the beam prediction mode for the input data.

[0097] Optionally, asFigure 7 As shown, the gNB can also determine the optimal beam based on the predicted beam information and perform data transmission using the optimal beam. Correspondingly, a series of processes or operations performed by the electronic device 200 as the UE may also include: determining that the corresponding signal quality is lower than a predetermined threshold; sending a low-quality report and / or a handover request to the gNB. The gNB that receives the above low-quality report and / or handover request can switch back to the traditional beam management, or (attempt to) switch to another beam prediction model (such as reselecting the model based on various criteria, etc.), or start a beam model supervision mechanism, etc., which will not be elaborated here.

[0098] (Example in the case where the beam prediction model is deployed on the terminal side)

[0099] For the case where the beam prediction model is deployed on the terminal side, the electronic device 200 as the UE does not necessarily send beam measurement results that do not meet the requirements of the input data of the beam prediction model to the network-side device. Instead, for example, it can directly perform model switching; in addition, the electronic device 200 can also directly use the beam measurement results that meet the requirements for beam prediction.

[0100] As an example, Figure 8 shows an example signaling interaction between the electronic device 200 as the UE and the gNB when the beam measurement results do not meet the requirements. As Figure 8 shown, in this case, the memory 220 of the electronic device 200 as the UE and the computer program code included therein can be configured to cause the electronic device 200 to perform the following processes or operations through the processor 210: select another beam prediction model so that the obtained beam measurement results meet the requirements of the other beam prediction model for the beam measurement results to be input (which can require a smaller Set B and / or lower beam quality, etc. than the current beam prediction model); and optionally, send relevant information about the other beam prediction model (such as but not limited to the identification information of the other beam prediction model, necessary application conditions, model switching-related delay, etc.) to the network-side device. Then, although not shown in the figure, the UE and the gNB can use the other beam prediction model as the switched beam prediction model and perform beam prediction-related processing in various appropriate ways (such as existing ways), for example.

[0101] As another example, Figure 9 shows an example signaling interaction between the electronic device 200 as the UE and the gNB when the beam measurement results meet the requirements. As Figure 9As shown, in this case, the memory 220 of the electronic device 200 as the UE and the computer program code included therein may be configured to cause the electronic device 200 to perform the following processes or operations through the processor 210: obtaining predicted beam information based on the beam measurement results that meet the requirements and a beam prediction model; and optionally, sending the beam prediction information to the network-side device.

[0102] After that, optionally, the gNB may also perform a process of determining an optimal beam with similar predicted beam information to that in Figure 7 and performing data transmission using the optimal beam, and the processes or operations performed by the electronic device 200 as the UE may be similar to those in Figure 7 , that is, sending a low-quality report and / or a handover request to the gNB when the signal quality is lower than a predetermined threshold. The gNB that receives the above low-quality report and / or handover request may determine to switch back to the traditional beam management, or determine to switch to another beam prediction model (and directly make a decision on model switching or instruct the UE to make a decision on model switching), or determine to initiate a beam model supervision mechanism, etc., which will not be elaborated here.

[0103] The above describes a configuration example of the electronic device 200 on the terminal side in the first embodiment of the present disclosure and its example processes.

[0104] In the above description process, in addition to the electronic device 200 on the terminal side, the network-side device that interacts with the electronic device 200 on the terminal side (such as Figures 4 to 9 the gNB shown in

[0105] <3. Configuration example of the electronic device in the second embodiment>

[0106] [3.1 Configuration example]

[0107] Figure 10 is a block diagram showing a configuration example of the network-side electronic device according to the second embodiment of the present disclosure.

[0108] As shown in Figure 10As shown, 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 related processing or operations via the processor 1010. Optionally, the memory 1020 may also be configured to store various data and information, etc. The transceiver 1030 is, for example, used to send information to another device or receive information from another device, and may perform corresponding processing or operations under the control of the memory 1020 and the computer program code included therein as well as the processor 1010.

[0109] In the context of the present disclosure, when necessary, the processing and operations performed by the electronic device 1000 may be implemented by other components (such as the optional transceiver 1030) in the electronic device 1000 in addition to the processor 1010 and the memory 1020, but the implementation details of these other components are not the focus of the present invention, and thus will not be described in detail.

[0110] Here, each component of the electronic device 1000 (such as, but not limited to, the processor, the memory, and / or the transceiver, etc.) may be included in the processing circuit. It should be noted that the electronic device 1000 may include one processing circuit or multiple processing circuits. Further, the processing circuit may include various discrete functional units to perform various different functions and / or operations. It should be noted that these functional units may be physical entities or logical entities, and units with different names may be implemented by the same physical entity.

[0111] In addition, although an example in which the electronic device 1000 includes a processor 1010, a memory 1020, and a transceiver 1030 is schematically shown in Figure 10 , 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 respectively replace the above-mentioned processor, memory, and / or transceiver, and they respectively have exactly the same or similar functions and / or configurations as the processor, memory, and / or transceiver described herein, which will not be elaborated here.

[0112] In this embodiment, the electronic device 1000 is a network-side device, which may be, for example, a base station device such as a gNB as discussed in detail in the first embodiment above. Preferably, the electronic device 1000 may deploy a beam prediction model, that is, store a beam prediction model in its memory 1020, so that the predicted beam information can be directly obtained based on the beam measurement results obtained from the UE using this model. Alternatively, the electronic device 1000 may not have a beam prediction model and obtain relevant information about the beam prediction model from a device (such as a UE like the electronic device 1000 in the first embodiment) equipped with a beam prediction model via the transceiver 1030. The present disclosure has no particular limitation in this regard. Whether the beam prediction model is deployed on the terminal side or the network side, preferably, relevant information about the beam prediction model is pre-shared between the two, as described above Figure 3A and Figure 3B as shown in, which will not be repeated here.

[0113] The relevant information about the beam prediction model shared between the terminal side and the network side includes, for example but not limited to, the identification information (model ID) of the model, 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, etc.

[0114] According to an embodiment of the present disclosure, the memory 1020 of the electronic device 1000 and the computer program code included therein may be configured to cause the electronic device 1000 to perform the following processing or operations through the processor 1010: receive a non-compliance report from the terminal device, where the report indicates that the beam measurement results of the measurement beams obtained by the terminal device do not meet the requirements of the beam prediction model for the beam measurement results to be input.

[0115] As mentioned above, by way of example, the requirements of the beam prediction model for the beam measurement results to be input (Set B requirements) may include, for example, one or more of the following: the number of measurement beams with a 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). Here, the beam quality may include the absolute intensity or relative intensity of the measurement beam, such as RSRP or L1-RSRP. In addition, the beam quality may also include SINR, etc.

[0116] Correspondingly, 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 bit 1 or 0 to represent the non-compliance result; a bit sequence of length 1 + n may additionally use n additional bits to represent whether each specific requirement (such as the first to third requirements above) is met, or represent the number of the specific requirement that is not met (n is a natural number).

[0117] In this way, the situation where the beam measurement results of (candidate) measurement beams shared between the UE and the electronic device 1000 on the network side do not meet the requirements of the input data of the beam prediction model, and optionally the details of the non - compliance described above, can be shared, facilitating subsequent corresponding processing by the network side and / or the UE side based on this non - compliance.

[0118] As an example of the signaling interaction for the electronic device 1000, which is a gNB, to obtain a non - compliance report from the terminal device UE, it can be as described previously Figure 4 shown.

[0119] As Figure 4 shown, optionally, in order to enable the UE to perform required beam measurements, the memory 1020 of the electronic device 1000 and the computer program code it includes can be configured to cause the electronic device 1000 to perform the following processing or operations through the processor 1010: send information on the measurement resources of (candidate) measurement beams, i.e., beam set C (Set C), to the UE, and send (candidate) measurement beams of beam set C to the UE.

[0120] Correspondingly, as Figure 4 shown, the UE can receive and measure the (candidate) measurement beams sent by the electronic device 1000, which is a gNB, according to the received information on the measurement resources, and generate and send a non - compliance report to the electronic device 1000, which is a gNB, when it determines that the beam measurement results do not meet the requirements. Additionally, optionally, a series of processing or operations performed by the electronic device 1000 can further include: for example, issuing a requirement to the UE to provide beam measurement results (not shown) based on the non - compliance report, and receiving the beam measurement results sent by the UE in response to this requirement to further understand the relevant details.

[0121] [3.2 Example Processing]

[0122] Next, in combination with what is described above Figures 5 to 9 a more detailed description will be given of more example processing that the memory 1020 of the electronic device 1000 and the computer program code it includes can cause the electronic device 1000 to perform through the processor 1010 and related details.

[0123] (Example of Re - configuration and Measurement in Response to Non - compliance Report)

[0124] First, refer to Figure 5 As Figure 5As shown, 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 processes and / or operations through the processor 1010: Configure updated measurement resources for the UE to obtain beam measurement results according to the received non-conformance report, and generate and send information on the configured updated measurement resources to the UE.

[0125] In addition, as Figure 5 shown, the processes and / or operations performed by the electronic device 1000 may further include: Sending corresponding (candidate) measurement beams to the UE by using the updated measurement resources. Accordingly, the UE can obtain updated beam measurement results for the (candidate) measurement beams sent by using the updated measurement resources through beam measurement.

[0126] In a first example of the updated measurement resources, the updated measurement resources configured by the electronic device 1000 may include updated time and / or frequency resources of a reference signal corresponding to a measurement beam (a downlink reference signal for carrying the measurement beam). In other words, the updated measurement resources may include updated time resources of (candidate) measurement beams of a beam set C (which may also be referred to as the original SetC) that has 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 of the reference signal corresponding to the measurement beam. In a preferred example, the updated measurement resources may include updated time resources of the downlink reference signal for carrying the measurement beam, and the information on the updated measurement resources indicates the updated time resources.

[0127] In this way, for example, the (candidate) measurement beams of the original Set C can be used, but updated beam measurement results can be obtained through the retransmission by the electronic device 1000 acting as a gNB and the remeasurement by the UE as described above. Accordingly, it is possible to avoid situations where an unsatisfactory beam measurement result caused by, for example, the UE being temporarily in an unfavorable position due to UE mobility is regarded as an unsatisfactory beam prediction model itself, which may then lead to various improper decisions.

[0128] In a second example of the updated measurement resources, alternatively (or additionally), the updated measurement resources configured by the electronic device 1000 may include updated measurement beams, and these updated measurement beams preferably include at least newly added measurement beams. In other words, the updated measurement resources may include the measurement beams included in an updated beam set C (updated Set C).

[0129] The electronic device 1000 can determine updated measurement beams in various ways, which can 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 from all possible, for example, 64 downlink beams, the spatial range of which is wider than the coverage range of the beams in the original Set C; retaining all the beams in the original Set C, and then randomly specifying or specifying additional beams based on the spatial coverage from all possible, for example, 64 downlink beams; in the case where the electronic device 1000 receives a detailed non - compliance report and / or specific beam measurement results from the UE, only retaining the beams with higher beam quality among the beams in the original Set C, and randomly specifying or specifying additional beams based on the spatial coverage from all possible, for example, 64 downlink beams; and so on.

[0130] Correspondingly, the information on the updated measurement resources generated and sent by the electronic device 1000 can indicate the updated measurement beams, and preferably at least indicate the additional measurement beams, and optionally also indicate the measurement beams among the original measurement beams that can still be used. In other words, the information on the updated measurement resources can indicate the (candidate) measurement beams of the beam set C (updated Set C) that has changed in terms of beams.

[0131] In this way, for example, the (candidate) measurement beams of the updated Set C can be used to obtain updated beam measurement results through the re - transmission of the electronic device 1000 acting as the gNB and the re - measurement of the UE described above. Correspondingly, it is possible to avoid the situation where the unsatisfactory beam measurement results caused by the inapplicability of the spatial coverage of the (candidate) measurement beams of the original Set C to the current radio mobile environment of the UE are regarded as the unsatisfactory of the beam prediction model itself, and then various improper decisions.

[0132] In practical applications, there is a situation where the updated beam measurement results obtained by the UE still do not meet the requirements (Set B requirements) of the input data of the beam prediction model. Optionally, as Figure 5 shown, when the updated beam measurement results obtained by the UE do not meet the requirements, the UE can send an updated non - compliance report to the electronic device 1000 acting as the gNB; and alternatively or additionally, send the obtained updated beam measurement results (regardless of whether they meet the above requirements) to the electronic device 1000 acting as the gNB.

[0133] The electronic device 1000 may make corresponding decisions based on the above updated non - compliance reports 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; in the case where the beam prediction model is deployed on the network side, determining that a model switch is required, and optionally selecting another beam prediction model such 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.

[0134] (Example in the case where the beam prediction model is deployed on the network side)

[0135] For the case where the beam prediction model is deployed on the network side, the memory 1020 of the electronic device 1000 acting as a gNB and the computer program code included therein may be configured to cause the electronic device 1000 to perform the following processes or operations through the processor 1010: receive the beam measurement results obtained by the UE (regardless of whether they meet the requirements of the input data of the beam prediction model).

[0136] In one example, in the case where the beam measurement results do not meet the input requirements of the beam prediction model, the electronic device 1000 may perform subsequent processing based on the beam measurement results and the received non - compliance reports. As Figure 6 shown, the processes performed by the electronic device 1000 acting as a gNB may include: selecting another beam prediction model such that the obtained beam measurement results meet the requirements of the beam measurement results to be input for the said another 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 the relevant information of the said another beam prediction model to the UE. Then, although not shown in the figure, the UE and the electronic device 1000 acting as a gNB may perform beam - prediction - related processing with the said another beam prediction model as the switched - to beam prediction model, for example, in various appropriate ways (such as existing ways).

[0137] In another example, in the case where the beam measurement results meet the input requirements of the beam prediction model, the electronic device 1000 may obtain predicted beam information based on the beam prediction model using the compliant beam measurement results. As Figure 7 shown, the processes performed by the electronic device 1000 acting as a gNB may include: obtaining predicted beam information based on the beam prediction model using the beam measurement results that meet the requirements of the input data of the beam prediction mode.

[0138] Optionally, as Figure 7As shown, the processing performed by the electronic device 1000 acting as a gNB may further include: determining an optimal beam based on predicted beam information and performing data transmission using the optimal beam. Correspondingly, the UE may perform the following processing or operations: determining that the corresponding signal quality is lower than a predetermined threshold; sending a low-quality report and / or a handover request to the electronic device 1000 acting as a gNB. The electronic device 1000 acting as a gNB that receives the above low-quality report and / or handover request may switch back to traditional beam management, or (attempt to) switch to another beam prediction model (such as re-selecting a model based on various criteria, etc.), or start a beam model supervision mechanism, etc., which will not be elaborated here.

[0139] (Example in the case where the beam prediction model is deployed on the terminal side)

[0140] For 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 requirements of the input data of the beam prediction model to the electronic device 1000 acting as a network-side device. Instead, for example, the UE can directly perform model switching; the UE can also directly use the beam measurement results that meet the requirements for beam prediction.

[0141] As previously mentioned, as an example, Figure 8 shows an example signaling interaction between the UE and the electronic device 1000 acting as a gNB when the beam measurement results do not meet the requirements. As Figure 8 shown, the electronic device 1000 acting as a gNB can receive relevant information about another beam prediction model (such as but not limited to the identification information of another beam prediction model, necessary application conditions, model switching-related time delays, etc.) from the UE, where the beam measurement results obtained by the UE meet the requirements of the another beam prediction model for the input beam measurement results. Here, although not shown in the figure, the electronic device 1000 acting as a gNB and the UE can use the another beam prediction model as the switched beam prediction model and perform beam prediction-related processing in various appropriate ways (such as existing ways), for example.

[0142] In addition, as previously mentioned, as another example, Figure 9 shows an example signaling interaction between the UE and the electronic device 1000 acting as a gNB when the beam measurement results meet the requirements. As Figure 9 shown, the electronic device 1000 acting as a gNB can receive the predicted beam information obtained by the UE from the UE. Thereafter, the electronic device 1000 acting as a gNB can perform operations related to Figure 7A similar series of processes, such as determining the optimal beam based on predicted beam information, performing data transmission using the optimal beam, receiving low-quality reports and / or handover requests, and making relevant decisions in response to low-quality reports and / or handover requests, etc., will not be elaborated here.

[0143] [3.3 Others (Training and Optimization of Beam Prediction Model)]

[0144] As mentioned above, the beam prediction model involved in the present disclosure can be implemented using a convolutional neural network (CNN). CNN is very powerful in processing image data or data with spatial relationships and is suitable for location-related problems such as beam ID and RSRP. The above beam prediction model can be obtained through a training or optimization process such as Figure 11 schematically shown, and is preferably deployed on the network side, such as in the electronic device 1000 as a gNB. Here, an example process for obtaining a CNN-based beam prediction model is outlined.

[0145] (1) Data Preparation:

[0146] A dataset of beam measurement results including the beam ID (an example of identification information) and RSRP (an example of beam quality) of the beam can be collected and sorted. In this data, each beam measurement result includes relevant information (such as the ID and RSRP of the actually used beam) annotated with the subsequent corresponding actually used beam. The dataset can be divided into a training set and a test set to ensure the balance of the dataset.

[0147] (2) Model Design:

[0148] The architecture of the CNN can be designed, which can include a convolutional layer, a pooling layer, a fully connected layer, etc. The input of the CNN is the beam measurement results in the dataset, and the output of the CNN is the predicted beam information, including the beam ID and RSRP of the predicted beam. For the beam ID, the last layer of the CNN uses the softmax activation function for multi-class classification. For the regression problem of RSRP, the last layer of the CNN uses a linear activation function (or no activation function) for regression prediction.

[0149] (3) Training and Optimization:

[0150] The CNN can be trained using the training set, and a suitable loss function (cross-entropy loss or mean squared error loss) can be selected. An appropriate optimization algorithm, such as stochastic gradient descent (SGD) or Adam algorithm, can be selected to minimize the loss function. The performance of the model can be improved by adjusting the hyperparameters of the CNN, including the learning rate, batch size, etc.

[0151] (4) Model Evaluation and Tuning:

[0152] The trained CNN can be evaluated using a test set, and metrics such as accuracy or mean squared error (MSE) are typically used. Based on the evaluation results, the model can be tuned, which may involve adjusting the network architecture or performing more training iterations.

[0153] Once the expected performance is met, the model can be deployed into practical applications, such as the electronic device 1000 on the network side (or alternatively, the electronic device 200 on the terminal side) described above, for predicting the beam ID and RSRP.

[0154] <4. Method Embodiment>

[0155] Corresponding to the above device embodiment, the present disclosure provides the following method embodiments.

[0156] Figure 12 It is a flowchart showing a process example of a method for wireless communication according to a first embodiment of the present disclosure.

[0157] As shown in Figure 12 , in step S11, beam measurement results for measurement beams can be obtained. In step S12, in the case where the obtained beam measurement results do not meet the requirements of the beam prediction model for the beam measurement results to be input, a non - compliance report can be sent to the network - side device.

[0158] As an example, the above 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 the ranking of the beam quality of the measurement beams. For example, the beam quality may include the absolute intensity and / or relative intensity of the measurement beam.

[0159] Optionally, although not shown in the figure, the method of one embodiment may further include: receiving, 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.

[0160] As an example, the information on the updated measurement resources may indicate the updated time and / or frequency resources of the reference signal corresponding to the measurement beam.

[0161] As another example, the information on the updated measurement resources may indicate updated measurement beams, and for example, may at least indicate newly added measurement beams.

[0162] Optionally, although not shown in the figure, the method of this embodiment may further include: obtaining updated beam measurement results for the measurement beams transmitted using the updated measurement resources.

[0163] Optionally, although not shown in the figures, the method of this embodiment may further include one or more of the following: sending the obtained updated beam measurement result to a network-side device; or sending an updated non-compliance report to the network-side device when the obtained updated beam measurement result does not meet the requirements.

[0164] In one example, the beam prediction model is deployed in a network-side device. In this case, although not shown in the figures, the method may further include: sending the obtained beam measurement result to the network-side device.

[0165] In another example, the beam prediction model is deployed in the electronic device. In this case, although not shown in the figures, the method may further include: selecting 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; optionally, sending information related to the another beam prediction model to the network-side device. Additionally, although not shown in the figures, the method may further include: obtaining predicted beam information based on the beam prediction model using the beam measurement result that meets the requirements.

[0166] According to an embodiment of the present disclosure, the entity executing the above method may be the electronic device 200 according to the first embodiment of the present disclosure, and thus all embodiments of the electronic device 200 described above are applicable here.

[0167] Figure 13 is a flowchart showing a process example of a method for wireless communication according to a second embodiment of the present disclosure.

[0168] As shown in Figure 13 In step S21, a non-compliance report may be received from a terminal device, and the report 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.

[0169] As an example, the above requirements may 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. For example, the beam quality may include the absolute intensity and / or relative intensity of the measurement beam.

[0170] Optionally, although not shown in the figures, the method of one embodiment may further include: configuring updated measurement resources for the terminal device to obtain beam measurement results according to the non-compliance report; and generating and sending information about the updated measurement resources to the terminal device.

[0171] As an example, the updated measurement resources may include updated time and / or frequency resources of a reference signal corresponding to the measurement beam.

[0172] As another example, the updated measurement resource may include updated measurement beams, for example, at least including newly added measurement beams.

[0173] Optionally, although not shown in the figures, the method of this embodiment may further include: obtaining updated beam measurement results for the measurement beams transmitted using the updated measurement resource.

[0174] Optionally, although not shown in the figures, the method of this embodiment may further include receiving from the terminal device one or more of the following: updated beam measurement results for the measurement beams transmitted using the updated measurement resource; or an updated non - compliance report indicating that the updated beam measurement results obtained by the terminal device do not meet the requirements.

[0175] In one example, the beam prediction model is deployed in the terminal device. In this case, although not shown in the figures, the method may further include: receiving from the terminal device relevant information about another beam prediction model, where the beam measurement results obtained by the terminal device meet the requirements of the another beam prediction model for the beam measurement results to be input.

[0176] In another example, the beam prediction model is deployed in an electronic device on the network side that executes the method of this embodiment. In this case, although not shown in the figures, the method may further include: receiving from the terminal device the beam measurement results obtained by the terminal device. In addition, although not shown in the figures, 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 another beam prediction model for the beam measurement results to be input; and / or obtaining predicted beam information based on the beam prediction model using the beam measurement results that meet the requirements.

[0177] According to an embodiment of the present disclosure, the subject that executes the above - mentioned method may be the electronic device 1000 according to the second embodiment of the present disclosure, so all the embodiments of the electronic device 1000 in the foregoing text are applicable here.

[0178] <5. Application Examples>

[0179] The technology of the present disclosure can be applied to various products.

[0180] The electronic device according to the first embodiment is implemented on the terminal device side. The electronic device can be various user devices, and can be implemented as a terminal device (such as a smart phone, a tablet personal computer (PC), a notebook PC, a portable game terminal, a portable / dongle-type mobile router, and a digital camera device) 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 referred to 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 wafer) installed on each of the above user devices.

[0181] The electronic device according to the second embodiment is implemented on the network side, such as the base station side. The electronic device can be implemented as any type of base station device, such as a macro eNB and a small eNB, and can also be implemented as any type of gNB (a base station in a 5G system). A small eNB can be an eNB that covers a cell smaller than a macro cell, such as a pico eNB, a micro eNB, and a home (femto) eNB. Instead, 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 can include: a main body configured to control wireless communication (also referred to as a base station device); and one or more remote radio heads (RRHs) provided in a place different from the main body.

[0182] In addition, the electronic device according to the second embodiment can also be implemented as any type of TRP. The TRP can have transmission and reception functions. For example, it can receive information from a terminal device and a base station device, and can also send information to a terminal device and a base station device. In a typical example, the TRP can provide services to a terminal device and be controlled by a base station device. Further, the TRP can have a structure similar to that of a base station device, or can only have a structure related to transmitting and receiving information in a base station device.

[0183] [Application Examples of Base Stations]

[0184] (First Application Example)

[0185] Figure 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.

[0186] 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 the base station device 1820 to transmit and receive wireless signals. As Figure 14As shown, eNB 1800 may include a plurality of antennas 1810. For example, the plurality of antennas 1810 may be compatible with a plurality of frequency bands used by eNB 1800. Although Figure 14 an example in which eNB 1800 includes a plurality of antennas 1810 is shown, eNB 1800 may also include a single antenna 1810.

[0187] The base station device 1820 includes a controller 1821, a memory 1822, a network interface 1823, and a wireless communication interface 1825.

[0188] 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 signals processed by the wireless communication interface 1825, and transmits the generated packets via the network interface 1823. The controller 1821 may bundle data from a plurality of baseband processors to generate a bundled packet, and transmit the generated bundled packet. The controller 1821 may have a logical function for performing control such as radio resource control, radio bearer control, mobility management, admission control, and scheduling. This control may be performed in conjunction with a nearby eNB or a core network node. The memory 1822 includes a RAM and a 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).

[0189] The network interface 1823 is a communication interface for connecting the base station device 1820 to the core network 1824. The controller 1821 may communicate with a core network node or another eNB via the network interface 1823. In this case, eNB 1800 and the core network node or other eNBs may be connected to each other through logical interfaces (such as the S1 interface and the X2 interface). The network interface 1823 may 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, compared with the frequency band used by the wireless communication interface 1825, the network interface 1823 may use a higher frequency band for wireless communication.

[0190] The wireless communication interface 1825 supports any cellular communication scheme (such as Long Term Evolution (LTE) and LTE-Advanced), and provides a wireless connection to terminals in the cell located in the eNB 1800 via the antenna 1810. The wireless communication interface 1825 typically may include, for example, a baseband (BB) processor 1826 and RF circuitry 1827. The BB processor 1826 may perform, for example, encoding / decoding, modulation / demodulation, and multiplexing / demultiplexing, and perform various types of signal processing of layers (such as L1, Media Access Control (MAC), Radio Link Control (RLC), and Packet Data Convergence Protocol (PDCP)). Instead of the controller 1821, the BB processor 1826 may have part or all of the above-described logical functions. The BB processor 1826 may be a memory storing a communication control program, or a module including a processor configured to execute the program and related circuitry. An update program may change the functions of the BB processor 1826. The module may be a card or blade inserted into a slot of the base station device 1820. Alternatively, the module may also be a chip mounted on the card or blade. Meanwhile, the RF circuitry 1827 may include, for example, mixers, filters, and amplifiers, and transmit and receive wireless signals via the antenna 1810.

[0191] As Figure 14 shown, the wireless communication interface 1825 may include multiple BB processors 1826. For example, the multiple BB processors 1826 may be compatible with multiple frequency bands used by the eNB 1800. As Figure 14 shown, the wireless communication interface 1825 may include multiple RF circuits 1827. For example, the multiple RF circuits 1827 may be compatible with multiple antenna elements. Although Figure 14 an example is shown 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.

[0192] In Figure 14 the eNB 1800 shown, the transceiver in the electronic device 1000 previously described with reference to Figure 10 can be implemented by the wireless communication interface 1825 and an optional antenna 1810. At least part of the functions of the processor in the electronic device 1000 can be implemented by the controller 1821. The functions of the memory in the electronic device 1000 can be implemented by the memory 1822. For example, the controller 1821 may implement at least part of the functions of the processor by executing instructions stored in the memory 1822.

[0193] (Second application example)

[0194] Figure 15FIG. is a block diagram showing a second example of a schematic configuration of an eNB to which the technology of the present disclosure can be applied. The eNB 1930 includes one or more antennas 1940, a base station device 1950, and an RRH 1960. The RRH 1960 and each antenna 1940 can be connected to each other via an RF cable. The base station device 1950 and the RRH 1960 can be connected to each other via a high-speed line such as an optical fiber cable.

[0195] 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 to transmit and receive wireless signals for the RRH 1960. As Figure 15 shown, the eNB 1930 can include multiple antennas 1940. For example, the multiple antennas 1940 can be compatible with multiple frequency bands used by the eNB 1930. Although Figure 15 an example in which the eNB 1930 includes multiple antennas 1940 is shown, the eNB 1930 can also include a single antenna 1940.

[0196] The 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. The controller 1951, the memory 1952, and the network interface 1953 are the same as the controller 1821, the memory 1822, and the network interface 1823 described with reference to Figure 14 description.

[0197] 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 generally may include, for example, a BB processor 1956. Except that the BB processor 1956 is connected to the RF circuit 1964 of the RRH 1960 via the connection interface 1957, the BB processor 1956 is the same as the BB processor 1826 described with reference to Figure 14 description. As Figure 15 shown, the wireless communication interface 1955 can include multiple BB processors 1956. For example, the multiple BB processors 1956 can be compatible with multiple frequency bands used by the eNB 1930. Although Figure 15 an example in which the wireless communication interface 1955 includes multiple BB processors 1956 is shown, the wireless communication interface 1955 can also include a single BB processor 1956.

[0198] 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 can also be a communication module for communication in the above high-speed line for connecting the base station device 1950 (wireless communication interface 1955) to the RRH 1960.

[0199] The RRH 1960 includes a connection interface 1961 and a wireless communication interface 1963.

[0200] 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 can also be a communication module for communication in the above high-speed line.

[0201] The wireless communication interface 1963 transmits and receives wireless signals via the antenna 1940. The wireless communication interface 1963 generally can include, for example, an RF circuit 1964. The RF circuit 1964 can include, for example, mixers, filters, and amplifiers, and transmits and receives wireless signals via the antenna 1940. As Figure 15 shown, the wireless communication interface 1963 can include multiple RF circuits 1964. For example, the multiple RF circuits 1964 can support multiple antenna elements. Although Figure 15 an example where the wireless communication interface 1963 includes multiple RF circuits 1964 is shown, the wireless communication interface 1963 can also include a single RF circuit 1964.

[0202] In Figure 15 the eNB 1930 shown, the transceiver in the electronic device 1000 previously described with reference to Figure 10 can be implemented, for example, by the wireless communication interface 1963 and an optional antenna 1940. At least part of the functions of the processor in the electronic device 1000 can be implemented by the controller 1951. The function of the memory in the electronic device 1000 can be implemented by the memory 1952. For example, the controller 1951 can implement at least part of the functions of the processor by executing the instructions stored in the memory 1952.

[0203] [Application Examples for Terminal Devices]

[0204] (First Application Example)

[0205] Figure 16A 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 device 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.

[0206] The processor 2001 can be, for example, a CPU or a system on 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 can 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.

[0207] The camera device 2006 includes image sensors such as charge-coupled devices (CCDs) and complementary metal-oxide-semiconductor (CMOSs), and generates captured images. The sensor 2007 can include a set of sensors such as a measurement sensor, a gyro sensor, a geomagnetic sensor, and an acceleration sensor. The microphone 2008 converts the sound input to the smartphone 2000 into an audio signal. The input device 2009 includes, for example, a touch sensor configured to detect touches on the screen of the display device 2010, a keypad, a keyboard, buttons, or switches, and receives operations 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 output images of the smartphone 2000. The speaker 2011 converts the audio signal output from the smartphone 2000 into sound.

[0208] 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 generally can include, for example, a BB processor 2013 and an RF circuit 2014. The BB processor 2013 can perform, for example, encoding / decoding, modulation / demodulation, and multiplexing / demultiplexing, and perform various types of signal processing for wireless communication. At the same time, the RF circuit 2014 can include, for example, mixers, filters, and amplifiers, and transmits and receives wireless signals via the antenna 2016. The wireless communication interface 2012 can be a single chip module on which the BB processor 2013 and the RF circuit 2014 are integrated. As Figure 16As shown, the wireless communication interface 2012 may include a plurality of BB processors 2013 and a plurality of RF circuits 2014. Although Figure 16 An example is shown in which the wireless communication interface 2012 includes a plurality of BB processors 2013 and a plurality of RF circuits 2014, but the wireless communication interface 2012 may also include a single BB processor 2013 or a single RF circuit 2014.

[0209] In addition to cellular communication schemes, the wireless communication interface 2012 may support other types of wireless communication schemes, such as short-range wireless communication schemes, near-field communication schemes, and wireless local area network (LAN) schemes. In this case, the wireless communication interface 2012 may include a BB processor 2013 and an RF circuit 2014 for each wireless communication scheme.

[0210] Each of the antenna switches 2015 switches the connection destination of the antenna 916 among a plurality of circuits included in the wireless communication interface 2012 (for example, circuits for different wireless communication schemes).

[0211] Each of the antennas 2016 includes a single or multiple antenna elements (such as the multiple antenna elements included in a MIMO antenna), and is used for the wireless communication interface 2012 to transmit and receive wireless signals. As Figure 16 shown, the smart phone 2000 may include a plurality of antennas 2016. Although Figure 16 An example is shown in which the smart phone 2000 includes a plurality of antennas 2016, but the smart phone 2000 may also include a single antenna 2016.

[0212] In addition, the smart phone 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 smart phone 2000.

[0213] The bus 2017 connects the processor 2001, the memory 2002, the storage device 2003, the external connection interface 2004, the imaging device 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 to each other. The battery 2018 supplies power to Figure 16 each block of the smart phone 2000 shown via a feeder line, which is partially shown as a dashed line in the figure. The auxiliary controller 2019 operates the minimum necessary functions of the smart phone 2000, for example, in the sleep mode.

[0214] In Figure 16 the smart phone 2000 shown, previously with reference to Figure 2The transceiver in the described electronic device 200 can be implemented via a wireless communication interface 2012 and an optional antenna 2016. At least some functions of the processor in the electronic device 200 can be implemented by a processor 2001 or an auxiliary controller 2019. The function of the memory in the electronic device 200 can be implemented by a memory 2002 or a 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.

[0215] (Second application example)

[0216] Figure 17 FIG. 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.

[0217] The processor 2121 can be, for example, a CPU or an SoC, and controls the 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.

[0218] The GPS module 2124 uses GPS signals received from GPS satellites to measure the position of the car navigation device 2120 (such as latitude, longitude, and altitude). The sensor 2125 can include a set of sensors, such as a gyro sensor, a geomagnetic sensor, and an air pressure sensor. The data interface 2126 is connected to, for example, an in-vehicle network 2141 via a terminal not shown, and acquires data generated by the vehicle (such as vehicle speed data).

[0219] The content player 2127 reproduces content stored in a storage medium (such as a CD and a DVD) inserted into the storage medium interface 2128. The input device 2129 includes, for example, a touch sensor, a button, or a switch configured to detect a touch on the screen of the display device 2130, and receives operations or information input from a user. The display device 2130 includes a screen such as an LCD or an OLED display, and displays an image of the navigation function or the reproduced content. The speaker 2131 outputs the sound of the navigation function or the reproduced content.

[0220] 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 generally may 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. At the same time, the RF circuit 2135 may include, for example, mixers, filters, and amplifiers, and transmit and receive wireless signals via an antenna 2137. The wireless communication interface 2133 may also be a single chip module on which the BB processor 2134 and the RF circuit 2135 are integrated. As Figure 17 shown, the wireless communication interface 2133 may include a plurality of BB processors 2134 and a plurality of RF circuits 2135. Although Figure 17 an example in which the wireless communication interface 2133 includes a plurality of BB processors 2134 and a plurality of RF circuits 2135 is shown, the wireless communication interface 2133 may also include a single BB processor 2134 or a single RF circuit 2135.

[0221] In addition, in addition to cellular communication schemes, the wireless communication interface 2133 may support other types of wireless communication schemes, such as short-range wireless communication schemes, near-field communication schemes, and wireless LAN schemes. In this case, for each wireless communication scheme, the wireless communication interface 2133 may include a BB processor 2134 and an RF circuit 2135.

[0222] Each of the antenna switches 2136 switches the connection destination of the antenna 2137 among a plurality of circuits included in the wireless communication interface 2133 (such as circuits for different wireless communication schemes).

[0223] Each of the antennas 2137 includes a single or a plurality of antenna elements (such as a plurality of antenna elements included in a MIMO antenna), and is used for the wireless communication interface 2133 to transmit and receive wireless signals. As Figure 17 shown, the car navigation device 2120 may include a plurality of antennas 2137. Although Figure 17 an example in which the car navigation device 2120 includes a plurality of antennas 2137 is shown, the car navigation device 2120 may also include a single antenna 2137.

[0224] In addition, 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.

[0225] The battery 2138 supplies power to Figure 17Each block of the automotive navigation device 2120 shown supplies power, and the feeder lines are shown partially as dashed lines in the figure. The battery 2138 accumulates the power supplied from the vehicle.

[0226] In Figure 17 the automotive navigation device 2120 shown, the transceiver in the electronic device 200 previously referred to Figure 2 and described can be implemented by the wireless communication interface 2133 and an optional antenna 2137. At least part of the functions of the processor in the electronic device 200 can be implemented by the processor 2121. The functions 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 functions of the processor by executing the instructions stored in the memory 2122.

[0227] The technology of the present disclosure can also be implemented as an in-vehicle system (or vehicle) 2140 including one or more blocks of the automotive navigation device 2120, the in-vehicle network 2141, and the 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.

[0228] The preferred embodiments of the present disclosure have been 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 can 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.

[0229] For example, the units shown in dashed boxes in the functional block diagrams in the drawings all indicate that the functional units are optional in the corresponding devices, and the various optional functional units can be combined in an appropriate manner to achieve the required functions.

[0230] For example, multiple functions included in one unit in the above embodiments can be implemented by separate devices. Alternatively, multiple functions implemented by multiple units in the above embodiments can be respectively implemented by separate devices. In addition, one of the above functions can be implemented by multiple units. Needless to say, such configurations are included in the technical scope of the present disclosure.

[0231] In this specification, the steps described in the flowcharts include not only the processes executed in time series in the described order, but also the processes executed in parallel or separately and not necessarily in time series. In addition, even in the steps of processing in time series, needless to say, the order can be appropriately changed.

[0232] In addition, the present disclosure can have the following configurations.

[0233] 1. An electronic device on the terminal side, comprising:

[0234] at least one processor; and

[0235] 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:

[0236] obtain a beam measurement result for a measurement beam; and

[0237] in a case where the obtained beam measurement result does not meet the requirements of a beam prediction model for the beam measurement result to be input, send a non - compliance report to a network - side device.

[0238] 2. The electronic device according to Configuration 1, wherein the requirements include one or more of the following:

[0239] the number of measurement beams having a beam quality above a predetermined threshold;

[0240] the beam quality of the measurement beam; or

[0241] the ranking of the beam quality of the measurement beam.

[0242] 3. The electronic device according to Configuration 2, wherein the beam quality includes the absolute intensity and / or relative intensity of the measurement beam.

[0243] 4. The electronic device according to Configuration 1, 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:

[0244] receive, from a network - side device, information on updated measurement resources for obtaining a beam measurement result configured for the electronic device according to the non - compliance report.

[0245] 5. The electronic device according to Configuration 4, wherein the information on the updated measurement resources indicates the updated time and / or frequency resources of a reference signal corresponding to the measurement beam.

[0246] 6. The electronic device according to Configuration 4, wherein the information on the updated measurement resources indicates updated measurement beams.

[0247] 7. The electronic device according to Configuration 6, wherein the information on the updated measurement resources indicates at least newly added measurement beams.

[0248] 8. The electronic device according to Configuration 4, 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:

[0249] Obtain updated beam measurement results for the measurement beams transmitted using the updated measurement resources.

[0250] 9. The electronic device according to 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:

[0251] Send the obtained updated beam measurement results to the network-side device; or

[0252] In the case where the obtained updated beam measurement results do not meet the requirements, send an updated non-compliance report to the network-side device.

[0253] 10. The electronic device according to configuration 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:

[0254] Send the obtained beam measurement results to the network-side device.

[0255] 11. The electronic device according to configuration 1, wherein the beam prediction model is deployed in the electronic device.

[0256] 12. The electronic device according to 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 perform:

[0257] Select another beam prediction model so that the obtained beam measurement results meet the requirements of the another beam prediction model for the beam measurement results to be input.

[0258] 13. The electronic device according to 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 perform:

[0259] Send the relevant information of the another beam prediction model to the network-side device.

[0260] 14. The electronic device according to 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 perform:

[0261] Obtain predicted beam information based on the beam prediction model using the beam measurement results that meet the requirements.

[0262] 15. An electronic device on the network side, comprising:

[0263] At least one processor; and

[0264] 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:

[0265] Receive a non - compliance report from a terminal device, the non - compliance report being used to indicate that the beam measurement result obtained by the terminal device does not meet the requirements of the beam prediction model for the beam measurement result to be input.

[0266] 16. The electronic device according to configuration 15, wherein the requirements include one or more of the following:

[0267] The number of measurement beams having a beam quality above a predetermined threshold;

[0268] The beam quality of the measurement beam; or

[0269] The ranking of the beam quality of the measurement beam.

[0270] 17. The electronic device according to configuration 16, wherein the beam quality includes the absolute intensity and / or relative intensity of the measurement beam.

[0271] 18. The electronic device according to configuration 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:

[0272] Configure updated measurement resources for the terminal device to obtain beam measurement results according to the non - compliance report; and

[0273] Generate and send information about the updated measurement resources to the terminal device.

[0274] 19. The electronic device according to configuration 18, wherein the updated measurement resources include updated time and / or frequency resources of the reference signal corresponding to the measurement beam.

[0275] 20. The electronic device according to configuration 18, wherein the updated measurement resources include updated measurement beams.

[0276] 21. The electronic device according to configuration 20, wherein the updated measurement beams at least include newly added measurement beams.

[0277] 22. The electronic device according to configuration 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:

[0278] Receive one or more of the following from the terminal device:

[0279] Updated beam measurement results for the measurement beam transmitted using the updated measurement resources; or

[0280] An updated non - compliance report for indicating that the updated beam measurement results obtained by the terminal device do not meet the requirements.

[0281] 23. The electronic device according to configuration 15, wherein the beam prediction model is deployed in the terminal device.

[0282] 24. The electronic device according to configuration 23, wherein the at least one memory and the computer program code are further configured, via the at least one processor, to cause the electronic device to perform:

[0283] Receive, from the terminal device, information related to an additional beam prediction model, 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.

[0284] 25. The electronic device according to configuration 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, via the at least one processor, to cause the electronic device to perform:

[0285] Receive, from the terminal device, the beam measurement results obtained by the terminal device.

[0286] 26. The electronic device according to configuration 25, wherein the at least one memory and the computer program code are further configured, via the at least one processor, to cause the electronic device to perform:

[0287] Select an additional beam prediction model such 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.

[0288] 27. The electronic device according to configuration 25, wherein the at least one memory and the computer program code are further configured, via the at least one processor, to cause the electronic device to perform:

[0289] Obtain predicted beam information based on the beam prediction model using the beam measurement results that meet the requirements.

[0290] 28. A method for wireless communication, comprising:

[0291] Obtain beam measurement results for a measurement beam; and

[0292] 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.

[0293] 29. A method for wireless communication, comprising:

[0294] 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.

[0295] 30. A non-transitory computer-readable storage medium storing computer program code, where the computer program code enables an electronic device to perform the method as described in configuration 28 or 29 through a processor included in the electronic device.

[0296] Although the embodiments of the present disclosure have been described in detail above in conjunction with the accompanying drawings, it should be understood that the above-described embodiments are only used to illustrate the present disclosure and do not constitute a limitation to the present disclosure. For those skilled in the art, various modifications and changes can be made to the above embodiments without departing from the essence and scope of the present disclosure. Therefore, the scope of the present disclosure is only defined by the appended claims and their equivalent meanings.

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 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.

2. The electronic device according to claim 1, 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.

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 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.

7. 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, through the at least one processor, cause the electronic device to perform: Receive 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.

8. A method for wireless communication, comprising: Obtain 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.

9. A method for wireless communication, comprising: Receive 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.

10. A non - transitory computer - readable storage medium storing computer program code, the computer program code causing an electronic device including a processor to perform the method according to claim 8 or 9.

Images