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

Abstract

The invention relates to an electronic device and method for wireless communication, and a computer readable storage medium. An electronic device for wireless communication includes at least one processor and at least one memory, the at least one memory including computer program code, and wherein the at least one memory and the computer program code are configured to, via the at least one processor, transmit the at least one memory to the at least one processor. The electronic device is caused to perform grouping candidate beams for the electronic device to communicate with user equipment within its coverage into a plurality of beam subsets, and indicating information about the grouping to the user equipment based on associations between the plurality of beam subsets.

Description

Technical Field

[0001] This disclosure relates to the field of wireless communication technology, and more particularly to electronic devices and methods for wireless communication. More specifically, it relates to electronic devices and methods for wireless communication that group candidate beams into multiple beam subsets. Background Technology

[0002] In 5G communication, the presence of large-scale beamforming presents multiple challenges. Increased beam numbers and narrower beams lead to beam failures and frequent beam switching, increased measurement overhead and latency, and sensitivity to channel environments. Addressing the reduction of measurement latency and resource allocation overhead is currently a hot research topic. Summary of the Invention

[0003] A brief overview of the invention is given below to provide a basic understanding of certain aspects of it. It should be understood that this overview is not an exhaustive summary of the invention. It is not intended to identify key or essential parts of the invention, nor is it intended to limit the scope of the invention. Its purpose is merely to present certain concepts in a simplified form as a prelude to the more detailed description that follows.

[0004] According to one aspect of this disclosure, an electronic device for wireless communication is provided, 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, through the at least one processor, to cause the electronic device to: group candidate beams for communication between the electronic device and user equipment within its coverage area into a plurality of beam subsets, and to indicate information about the groups to the user equipment based on the correlation between the plurality of beam subsets.

[0005] According to one aspect of this disclosure, an electronic device for wireless communication is provided, 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, through the at least one processor, to cause the electronic device to: group candidate beams for communication between a network-side device serving the electronic device and the electronic device into a plurality of beam subsets, and report information about the packets to the network-side device based on the correlation between the plurality of beam subsets.

[0006] According to one aspect of this disclosure, a method for wireless communication is provided, comprising: grouping candidate beams for communication between an electronic device and a user device within the coverage area of ​​the electronic device into a plurality of beam subsets, and indicating information about the grouping to the user device based on the correlation between the plurality of beam subsets.

[0007] According to one aspect of this disclosure, a method for wireless communication is provided, comprising: grouping candidate beams for communication between a network-side device and an electronic device for providing services to the electronic device into a plurality of beam subsets, and reporting information about the packets to the network-side device based on the correlation between the plurality of beam subsets.

[0008] According to other aspects of the present invention, computer program code and computer program product for implementing the above methods, as well as a computer-readable storage medium having the computer program code for implementing the above methods recorded thereon, are also provided. Attached Figure Description

[0009] To further illustrate the above and other advantages and features of the present invention, specific embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. The accompanying drawings, together with the following detailed description, are included in and form a part of this specification. Elements having the same function and structure are indicated by the same reference numerals. It should be understood that these drawings only depict typical examples of the invention and should not be construed as limiting the scope of the invention. In the drawings:

[0010] Figure 1 An exemplary functional block diagram of an electronic device for wireless communication according to an embodiment of the present disclosure is shown;

[0011] Figure 2 This is an example diagram illustrating the grouping of candidate beams according to an embodiment of the present disclosure;

[0012] Figure 3 This is a graph illustrating the relationship between the number of epochs of data learning during training and the training loss of the second model according to an embodiment of the present disclosure;

[0013] Figure 4 This is a graph illustrating the relationship between the number of epochs of data learning and accuracy during training of the second model according to an embodiment of the present disclosure;

[0014] Figure 5 An exemplary functional block diagram of an electronic device for wireless communication according to another embodiment of the present disclosure is shown;

[0015] Figure 6 A flowchart of a method for wireless communication according to an embodiment of the present disclosure is shown;

[0016] Figure 7 A flowchart of a method for wireless communication according to another embodiment of the present disclosure is shown;

[0017] Figure 8 This is a block diagram illustrating a first example of a schematic configuration of an eNB or gNB to which the technologies of this disclosure can be applied;

[0018] Figure 9 This is a block diagram illustrating a second example of a schematic configuration of an eNB or gNB to which the technologies of this disclosure can be applied;

[0019] Figure 10 This is a block diagram illustrating an example of a schematic configuration of a smartphone to which the technologies of this disclosure can be applied;

[0020] Figure 11 This is a block diagram illustrating an example of a schematic configuration of a car navigation device to which the technology of this disclosure can be applied; and

[0021] Figure 12 This is a block diagram of an exemplary structure of a general-purpose personal computer in which methods and / or apparatus and / or systems according to embodiments of the present invention can be implemented. Detailed Implementation

[0022] Exemplary embodiments of the invention will be described below with reference to the accompanying drawings. For clarity and brevity, not all features of actual implementations are described in the specification. However, it should be understood that many implementation-specific decisions must be made in the development of any such actual embodiment to achieve the developer's specific goals, such as complying with constraints related to the system and business, and these constraints may vary depending on the implementation. Furthermore, it should be understood that while development work can be very complex and time-consuming, such development work is merely a routine task for those skilled in the art who benefit from this disclosure.

[0023] It should also be noted that, in order to avoid obscuring the invention with unnecessary details, only the device structure and / or processing steps closely related to the solution according to the invention are shown in the accompanying drawings, while other details that are not closely related to the invention are omitted.

[0024] This disclosure provides an electronic device for wireless communication according to one embodiment of the disclosure. The electronic device includes at least one processor and at least one memory, the at least one memory including computer program code, wherein the at least one memory and the computer program code are configured, via the at least one processor, to cause the electronic device to: group candidate beams for communication between the electronic device and user equipment within its coverage area into a plurality of beam subsets, and indicate information about the groups to the user equipment based on the correlation between the plurality of beam subsets.

[0025] Figure 1 An exemplary functional block diagram of an electronic device 100 for wireless communication according to an embodiment of the present disclosure is shown.

[0026] like Figure 1As shown, the electronic device 100 includes: a control unit 101 for performing control; a processing unit 103 configured to, under the control of the control unit 101, group candidate beams for communication between the electronic device 100 and user equipment within its coverage area into multiple beam subsets; and an indication unit 105 configured to, under the control of the control unit 101, indicate information about the grouping to the user equipment based on the correlation between the multiple beam subsets.

[0027] The control unit 101, processing unit 103, and indicating unit 105 can be implemented as one or more processing circuits and at least one memory. The processing circuit can be, for example, a processor or chip, and the at least one memory can be RAM, ROM, etc., and is used to store, for example, computer program code and data required for the processing circuits to perform processing. Furthermore, it should be understood that... Figure 1 The functional units in the electronic device 100 shown are logical modules divided according to the specific functions they implement, rather than being used to limit the specific implementation method.

[0028] Electronic device 100 may be located on the base station side or communicatively connected to the base station. For example, electronic device 100 may function as the base station itself and may also include external devices such as memory and transceiver (not shown). Memory may be used to store programs and related data information that electronic device 100 needs to execute to perform various functions. Transceiver may include one or more communication interfaces to support communication with different devices (e.g., UE, base station, etc.), and the implementation of transceiver is not specifically limited here.

[0029] As an example, the base station could be an eNB or a gNB. In the following description, we will typically use a gNB as the base station.

[0030] For example, the set of all candidate beams can be called the universal set, which can be represented as Set A.

[0031] Figure 2 This is an example diagram illustrating the grouping of candidate beams according to an embodiment of the present disclosure.

[0032] like Figure 2 As shown, the entire set Set A can be divided into beam subsets Set A1, Set A2, Set A3, Set A4, Set A5, and Set A6. Figure 2 The number of the entire set and the number of beam subsets (e.g., 6) are merely examples. Those skilled in the art should understand that the entire set can be a collection that includes only beams in a specific direction, the number of beam subsets can be any positive integer, and the number of beams in different beam subsets can be the same or different.

[0033] The presence of large-scale beams presents multiple challenges, including increased beam number and narrower beams, leading to beam failures and frequent beam switching, increased measurement overhead and latency, and sensitivity to channel environment.

[0034] When beams are expanded to a larger scale, such as 256 beams or more, the challenges to existing beam management mechanisms are as follows: beams become narrower, beam failures and beam switching become more frequent in mobile environments; the narrower the beam, the more severe the channel's impact on the beam, requiring higher-precision channel estimation capabilities; beam measurement overhead, latency, and signaling interaction will increase significantly; narrower beams have more concentrated energy, and the interference between beams will have a more significant impact than under previous wide beam conditions; network resource allocation will also become a challenge; and there are also hardware challenges.

[0035] In the 3GPP discussions on BM-Case 1 (spatial beam prediction) and BM-Case 2 (temporal beam prediction), Set A represents the complete beam set, containing all possible beams, while Set B represents the set of measurement beams input to the AI ​​model on the UE side. Considering that the AI ​​model used for beam prediction exists to save on UE measurement overhead, the UE does not want to measure the entire set. After discussion, the reason for agreeing to allocate Set A and Set B to the UE separately is that the network can configure Set A and Set B, but whether the UE performs measurements depends on the UE's behavior. However, in some cases (e.g., Option 1 for monitoring the AI ​​model: obtaining the prediction accuracy (with or without margin) of the top 1 or top K beams by comparing the prediction results with the measurement results based on the resource set / resources used for monitoring), the UE must measure the entire set to find the optimal measurement beams. When the beams are extended to 256 or more, configuring Set A will cause significant losses in terms of both resource allocation and measurement overhead.

[0036] In contrast, the electronic device 100 according to embodiments of this disclosure can group candidate beams into multiple beam subsets, enabling processing not on all candidate beams but on beams within the beam subsets, thereby mitigating measurement latency and resource allocation overhead. Furthermore, instructing user equipment on packet information based on the correlation between multiple beam subsets can both save signaling overhead and align the understanding of packet information between the user equipment and the electronic device 100.

[0037] For example, regarding the AI ​​model used for beam prediction on the UE side, by performing the above grouping, the complete set faced by different AI models is, for example, Figure 2 The different Sets A1, Set A2, ... are shown.

[0038] Those skilled in the art will understand that grouping the entire beam set according to embodiments of this disclosure can provide gains not only in beam management but also in mobility management and random access. This is because mobility management and random access also involve beam scanning, and scanning a subset of beams is less expensive than scanning the entire set. In the following description, for convenience, beam management scenarios are sometimes used as examples. For instance, downlink beam management is used as an example, where the candidate beams are downlink beams.

[0039] The correlation between multiple beam subsets refers to the possible relationships between different beam subsets. Different beam subsets can be correlated using a mechanism similar to QCL (quasi-co-addressable), and this correlation method corresponds to the characteristic attributes of different beam subsets.

[0040] As an example, the correlation between multiple beam subsets may include at least one of the following: directional differences between different beam subsets, differences in the number of beams between different beam subsets, and correlations between the channel conditions corresponding to different beam subsets. Through these correlations, user equipment and electronic equipment 100 can better identify and process the corresponding beam subsets.

[0041] For example, the direction of a beam subset can be characterized by the angle between the horizontal direction and the direction of the beam subset's center in space; the directional differences between different beam subsets can be characterized by the differences between the aforementioned angles. For example, the channel conditions corresponding to a beam subset can be characterized by at least one of the following: channel fading, Doppler shift, multipath propagation, time delay, and the moving speed of the user equipment relative to the electronic equipment 100. The correlation between the channel conditions corresponding to different beam subsets can be characterized by the correlation of at least one of the following: channel fading, Doppler shift, multipath propagation, time delay, and moving speed.

[0042] As an example, when electronic device 100 indicates information about packets to user equipment, it also indicates the ID of the beam subset. Each beam subset corresponds to a specific ID.

[0043] As an example, the processing unit 103 may be configured to group candidate beams based on the estimated channel conditions and / or capability information representing the capabilities of the user equipment.

[0044] As an example, channel conditions include at least one of the following: channel fading conditions obtained through channel estimation, Doppler shift, multipath conditions, time delay, and the moving speed of the user equipment relative to the electronic equipment 100. For example, channel fading conditions may include large-scale fading and small-scale fading.

[0045] For example, if at least one of the following conditions—moving speed, fading, Doppler shift, multipath propagation, and time delay—is greater than its corresponding set threshold, the entire set of candidate beams is divided into fewer beam subsets; that is, the beam subsets include more beams. Conversely, if at least one of the following conditions—moving speed, fading, Doppler shift, multipath propagation, and time delay—is less than or equal to its corresponding set threshold, the entire set of candidate beams is divided into more beam subsets; that is, the beam subsets include fewer beams.

[0046] As an example, capability information includes at least one of the following: the maximum number of beams that the user equipment can measure, the number of antennas of the user equipment, and measurement errors caused by the hardware of the user equipment.

[0047] For example, when grouping beams, the number of beams included in the beam subset is less than or equal to the maximum number of beams that the user equipment can measure; the number of antennas of the user equipment is sufficient to find the optimal beam in the beam subset.

[0048] Electronic device 100 can also group beams based on both the estimated channel conditions and the user equipment capability information.

[0049] As an example, the processing unit 103 may be configured to group candidate beams based on collected historical information about the user equipment, using a pre-trained first model, to obtain a selected subset of beams to be used by the electronic device 100 to communicate with the user equipment.

[0050] For example, the first pre-trained model can be an AI model (artificial intelligence model) or a machine learning model. In the following description, for convenience, we will use the example of an AI model as the first pre-trained model.

[0051] Using a pre-trained first model to select the chosen beam subset can reduce measurement overhead and latency.

[0052] For example, the selected beam subset could be the measurement set of the AI ​​model used for beam prediction on the UE side. A pre-trained first model can be used to select the optimal measurement set and send it to the UE based on its learning from historical data.

[0053] As an example, historical information may include observations of the channel in which the user equipment is located and / or monitoring results of the user equipment's mobility. For example, the mobility of a user equipment can be characterized by its movement trajectory.

[0054] For example, the observation results of the channel in which the user equipment is located can include channel state information, channel impulse response, and so on.

[0055] As an example, when the number of beams included in the selected beam subset is less than or equal to a predetermined threshold, beam management is performed based on beam scanning, and when the number of beams included in the selected beam subset is greater than the predetermined threshold, beam management is performed based on a pre-trained second model.

[0056] For example, the pre-trained second model can be an AI model or a machine learning model. In the following description, for convenience, we will use the example of a pre-trained second model being an AI model. For example, the pre-trained first model and the pre-trained second model can be the same or different.

[0057] Within the selected beam subset (optimal measurement set) given by the second model, either existing beam management in NR (i.e., beam management based on beam scanning) or AI-assisted beam management (i.e., beam management based on an AI model) can be performed. If the measurement set given by the second model is small enough, the existing NR beam management mechanism is a better choice than the AI-assisted beam management mechanism because the beam selection under the NR beam management mechanism is more accurate than that under the AI-assisted beam management mechanism. Therefore, when the measurement set is relatively small, the existing NR beam management mechanism can be selected. The size of the measurement set can be determined by comparing it with a predetermined threshold. For example, the predetermined threshold can be determined in advance based on experience or application scenarios. For example, the predetermined threshold can be 4, and those skilled in the art will understand that the predetermined threshold can also be other values. For example, when the number of beams in the measurement set is less than or equal to four, the existing NR beam management mechanism can be used. The AI-assisted beam management mechanism can reduce measurement and latency overhead. For example, when the number of beams in the measurement set is greater than four, the AI-assisted beam management mechanism can be used.

[0058] In this application, the following simulation evaluation is provided: Set B is selected using a first model (i.e., Set B is obtained by grouping candidate beams), and then the measurement results of Set B are input into a second model (e.g., a beam prediction model) to predict the optimal beam. In this simulation evaluation, a DeepMIMO dataset generated using the Saleh-Valenzuela channel model is used, and the simulation parameters are as follows.

[0059] Table 1 shows the normalized beamforming gain G for evaluating the optimal predicted beam. N .

[0060] parameter value Center frequency 28GHz BS beam count 64 bandwidth 50MHz noise factor 5dB

[0061] Table 1

[0062] Consider a policy network providing 10% of the beam of the SSB (Synchronization Signal Block).

[0063] The top-performing beam predicted achieved a satisfaction rate of over 90.66%. N

[0064] The top-predicted optimal beam achieved an accuracy of over 90.80%.

[0065] • The top 5 predicted optimal beams achieved an accuracy of over 95.58%.

[0066] Figure 3 This is a graph illustrating the relationship between the number of epochs of data learning during training and the training loss of the second model according to an embodiment of this disclosure. From Figure 3 It is evident that the more rounds there are, the lower the training loss becomes.

[0067] Figure 4 This is a graph illustrating the relationship between the number of epochs of data learning and accuracy during training of the second model according to an embodiment of the present disclosure. From Figure 4 It is evident that the higher the number of rounds, the higher the beam prediction accuracy.

[0068] Regarding interference, in large-scale beamforming scenarios, both beam-to-beam interference and interference from obstacles significantly impact optimal beam selection. In existing AI-assisted beam management, a crucial input parameter for the model is RSRP (Reference Signal Received Power). However, in the presence of interference, SINR (Signal-to-Interference-plus-Noise Ratio) might be more suitable. Both RSRP and SINR can be reported via CSI (Channel State Information) report frames. Regarding the increased beam-switching frequency due to mobility and narrowing beams, this primarily affects spatial beam prediction. Increased AI model operating frequency leads to increased measurement frequency. If the output of time-domain beam prediction included the dwell time of candidate beams, frequent beam switching could be mitigated to some extent.

[0069] As an example, the density of the reference signal in the time and / or frequency domains is enhanced for use in channel estimation.

[0070] One approach to enhancing channel estimation is to enhance the configuration of the reference signal, such as increasing its density in the time-frequency domain. Another approach is through AI enhancement, which does not change the existing reference signal configuration and may even require less time-frequency resources to transmit the reference signal, then uses AI algorithms to obtain channel state information.

[0071] This disclosure also provides a wireless electronic device 200 according to another embodiment of this disclosure. The electronic device 200 includes at least one processor and at least one memory, the at least one memory including computer program code, wherein the at least one memory and the computer program code are configured, through the at least one processor, to cause the electronic device 200 to: group candidate beams for communication between a network-side device serving the electronic device 200 and the electronic device 200 into multiple beam subsets, and report information about packets to the network-side device based on the correlation between the multiple beam subsets.

[0072] Figure 5 An exemplary functional block diagram of an electronic device 200 for wireless communication according to another embodiment of the present disclosure is shown.

[0073] like Figure 5 As shown, the electronic device 200 includes: a control unit 201, which performs control; a processing unit 203, which, under the control of the control unit 201, groups candidate beams for communication between the network-side device providing services to the electronic device 200 and the electronic device 200 into multiple beam subsets; and a reporting unit 205, which, under the control of the control unit 201, reports information about the packets to the network-side device based on the correlation between the multiple beam subsets.

[0074] The control unit 201, processing unit 203, and reporting unit 205 can be implemented as one or more processing circuits and at least one memory. The processing circuit can be, for example, a processor or chip, and the at least one memory can be RAM, ROM, etc., and is used to store, for example, computer program code and data required for the processing circuits to perform processing. Furthermore, it should be understood that... Figure 5 The functional units in the electronic device 200 shown are logical modules divided according to the specific functions they implement, rather than being used to limit the specific implementation method.

[0075] For example, electronic device 200 can function as a user equipment itself and may also include external devices such as memory and transceiver (not shown). The memory can be used to store programs and related data information that electronic device 200 needs to execute to perform various functions. The transceiver may include one or more communication interfaces to support communication with different devices (e.g., UE, base station, etc.), and there is no specific limitation on the implementation of the transceiver.

[0076] The electronic device 200 according to embodiments of this disclosure can group candidate beams into multiple beam subsets, enabling processing to be performed on beams within the beam subsets rather than on all candidate beams, thereby mitigating measurement latency and resource allocation overhead. Furthermore, reporting packet information to the network-side device based on the correlation between multiple beam subsets can save signaling overhead and align the understanding of packet information between the network-side device and the electronic device 200.

[0077] Electronic device 200 needs to report packet-related information to the network-side device because the network-side device needs to know the beam set used by electronic device 200 in subsequent resource configuration.

[0078] As an example, electronic device 200 can be a user device in the embodiment of electronic device 100, and network-side device in the embodiment of electronic device 200 can be electronic device 100.

[0079] As an example, correlation includes at least one of the following: directional differences between different beam subsets, differences in the number of beams between different beam subsets, and correlation between the channel conditions corresponding to different beam subsets.

[0080] As an example, the processing unit 203 may be configured to group candidate beams based on the estimated channel conditions and / or capability information representing the capabilities of the electronic device 200.

[0081] As an example, the aforementioned capability information includes at least one of the following: the maximum number of beams that the electronic device 200 can measure, the number of antennas of the electronic device 200, and the measurement error caused by the hardware of the electronic device 200.

[0082] For descriptions of correlation, channel conditions, and capability information, please refer to the relevant sections in the embodiments of electronic device 100, which will not be repeated here.

[0083] As an example, the processing unit 203 can be configured to group candidate beams based on collected historical information about the electronic device 200, using a pre-trained first model, to obtain a selected subset of beams to be used for communication between the network-side device and the electronic device 200.

[0084] As an example, historical information includes observations of the channel in which the electronic device 200 is located and / or monitoring results of the mobility of the electronic device 200.

[0085] As an example, the mobility of electronic device 200 is characterized by the motion trajectory of electronic device 200.

[0086] Historical information may include observation results of the channel (such as channel state information, channel impulse response, etc.) and the results of mobility monitoring of electronic device 200 (movement trajectory of electronic device 200, etc.). Electronic device 200 can adjust in real time based on this information when the current measurement set is not applicable, and output the measurement beam set that is most suitable for electronic device 200.

[0087] For a description of the first model, the second model, and the selected beam subset, please refer to the corresponding section in the embodiment of the electronic device 100, which will not be repeated here.

[0088] As an example, when the number of beams included in the selected beam subset is less than or equal to a predetermined threshold, beam management is performed based on beam scanning; and when the number of beams included in the selected beam subset is greater than the predetermined threshold, beam management is performed based on a pre-trained second model. For example, the predetermined threshold can be set by the electronic device 200.

[0089] As an example, the density of the reference signal in the time and / or frequency domains is enhanced for use in channel estimation.

[0090] In the process of describing electronic devices 100 and 200 in the above embodiments, some processes or methods have obviously been disclosed. Hereinafter, without repeating some details already discussed above, a summary of these methods is given. However, it should be noted that although these methods are disclosed in the description of the above electronic devices, they do not necessarily employ or are performed by the components described. For example, the embodiments of the above electronic devices can be implemented partially or entirely using hardware and / or firmware, while the methods discussed below can be implemented entirely by computer-executable programs, although these methods can also be implemented using the hardware and / or firmware of the electronic device.

[0091] Figure 6 A flowchart of a method S600 for wireless communication according to an embodiment of the present disclosure is shown. Method S600 begins at step S602. In step S604, candidate beams for communication between an electronic device and a user device within the coverage area of ​​the electronic device are grouped into multiple beam subsets. In step S606, information about the groupings is indicated to the user device based on the correlation between the multiple beam subsets. Method S600 ends at step S608.

[0092] This method can be executed, for example, by the electronic device 100 described above. For details, please refer to the above description of the relevant processing of the electronic device 100, which will not be repeated here.

[0093] Figure 7A flowchart of a method S700 for wireless communication according to another embodiment of the present disclosure is shown. Method S700 begins at step S702. In step S704, candidate beams for communication between a network-side device and an electronic device, used to provide services to the electronic device, are grouped into multiple beam subsets. In step S706, information about packets is reported to the network-side device based on the correlation between the multiple beam subsets. Method S700 ends at step S708.

[0094] This method can be executed, for example, by the electronic device 200 described above. For details, please refer to the above description of the relevant processing of the electronic device 200, which will not be repeated here.

[0095] The technology disclosed herein can be applied to a variety of products.

[0096] Electronic device 100 can be located on the base station side or connected to the base station. The base station can be implemented as any type of evolved Node B (eNB) or gNB (5G base station). eNBs include, for example, macro eNBs and small eNBs. Small eNBs can be eNBs that cover cells smaller than macro cells, such as pico eNBs, micro eNBs, and femtocell eNBs. A similar situation can occur with gNBs. Alternatively, the base station can be implemented as any other type of base station, such as NodeBs and base transceiver stations (BTSs). The base station may include: a subject configured to control wireless communication (also called base station equipment); and one or more remote radio heads (RRHs) located in a different location from the subject. In addition, various types of electronic devices can operate as base stations by temporarily or semi-persistently performing base station functions.

[0097] Electronic device 200 can be implemented as various user devices. User devices can be implemented as mobile terminals (such as smartphones, tablet PCs, laptop PCs, portable gaming terminals, portable / dongle-type mobile routers, and digital camera devices) or in-vehicle terminals (such as car navigation devices). User devices can also be implemented as terminals performing machine-to-machine (M2M) communication (also known as machine-type communication (MTC) terminals). Furthermore, user devices can be wireless communication modules (such as integrated circuit modules comprising a single chip) installed on each of the aforementioned terminals.

[0098] [Application examples of base stations]

[0099] (First application example)

[0100] Figure 8This is a block diagram illustrating a first example of a schematic configuration of an eNB or gNB to which the technologies of this disclosure can be applied. Note that the following description uses an eNB as an example, but it can also be applied to a gNB. The eNB 800 includes one or more antennas 810 and a base station device 820. The base station device 820 and each antenna 810 can be connected to each other via RF cables.

[0101] Each of the antennas 810 includes one or more antenna elements (such as multiple antenna elements included in a multiple-input multiple-output (MIMO) antenna) and is used by the base station equipment 820 to transmit and receive wireless signals. Figure 8 As shown, the eNB 800 may include multiple antennas 810. For example, the multiple antennas 810 may be compatible with multiple frequency bands used by the eNB 800. Although Figure 8 An example is shown in which the eNB 800 includes multiple antennas 810, but the eNB 800 may also include a single antenna 810.

[0102] The base station equipment 820 includes a controller 821, a memory 822, a network interface 823, and a wireless communication interface 825.

[0103] The controller 821 can be, for example, a CPU or a DSP, and operates various higher-level functions of the base station equipment 820. For example, the controller 821 generates data packets based on data in signals processed by the wireless communication interface 825, and transmits the generated packets via the network interface 823. The controller 821 can bundle data from multiple baseband processors to generate bundled packets and transmit the generated bundled packets. The controller 821 may have logical functions that perform controls such as radio resource control, radio bearer control, mobility management, admission control, and scheduling. This control can be performed in conjunction with nearby eNBs or core network nodes. The memory 822 includes RAM and ROM, and stores programs executed by the controller 821 and various types of control data (such as terminal lists, transmission power data, and scheduling data).

[0104] Network interface 823 is a communication interface used to connect base station equipment 820 to core network 824. Controller 821 can communicate with core network nodes or other eNBs via network interface 823. In this case, eNB 800 and core network nodes or other eNBs can be connected to each other through logical interfaces (such as S1 and X2 interfaces). Network interface 823 can also be a wired communication interface or a wireless communication interface for wireless backhaul. If network interface 823 is a wireless communication interface, it can use a higher frequency band for wireless communication compared to the frequency band used by wireless communication interface 825.

[0105] The wireless communication interface 825 supports any cellular communication scheme (such as LTE and LTE-Advanced) and provides wireless connectivity to terminals located in the cell of eNB 800 via antenna 810. The wireless communication interface 825 typically includes, for example, a baseband (BB) processor 826 and RF circuitry 827. The BB processor 826 can perform, for example, encoding / decoding, modulation / demodulation, and multiplexing / demultiplexing, and performs various types of signal processing at layers (e.g., Layer 1, Medium Access Control (MAC), Radio Link Control (RLC), and Packet Data Convergence Protocol (PDCP)). Instead of controller 821, the BB processor 826 can have some or all of the above-described logical functions. The BB processor 826 can be a memory storing communication control programs, or a module including a processor and associated circuitry configured to execute programs. Update programs can change the functionality of the BB processor 826. The module can be a card or blade inserted into a slot in base station equipment 820. Alternatively, the module can also be a chip mounted on a card or blade. Meanwhile, the RF circuit 827 may include, for example, a mixer, a filter, and an amplifier, and transmits and receives wireless signals via the antenna 810.

[0106] like Figure 8 As shown, the wireless communication interface 825 may include multiple BB processors 826. For example, the multiple BB processors 826 may be compatible with multiple frequency bands used by the eNB 800. Figure 8 As shown, the wireless communication interface 825 may include multiple RF circuits 827. For example, the multiple RF circuits 827 may be compatible with multiple antenna elements. Although Figure 8 An example is shown in which the wireless communication interface 825 includes multiple BB processors 826 and multiple RF circuits 827, but the wireless communication interface 825 may also include a single BB processor 826 or a single RF circuit 827.

[0107] When electronic device 100 is implemented Figure 8 In the case of the eNB 800 shown, its transceiver can be implemented by the wireless communication interface 825. At least a portion of the functionality can also be implemented by the controller 821. For example, the controller 821 can divide the candidate beams into multiple beam subsets by executing the functions of the units in the electronic device 100.

[0108] (Second application example)

[0109] Figure 9This is a block diagram illustrating a second example of a schematic configuration of an eNB or gNB to which the technologies of this disclosure can be applied. Note that, similarly, the following description uses an eNB as an example, but it can also be applied to a gNB. The eNB 830 includes one or more antennas 840, a base station device 850, and an RRH 860. The RRH 860 and each antenna 840 can be connected to each other via RF cables. The base station device 850 and the RRH 860 can be connected to each other via high-speed lines such as fiber optic cables.

[0110] Each of the antennas 840 includes one or more antenna elements (such as multiple antenna elements included in a MIMO antenna) and is used by the RRH 860 to transmit and receive wireless signals. Figure 9 As shown, the eNB 830 may include multiple antennas 840. For example, the multiple antennas 840 may be compatible with multiple frequency bands used by the eNB 830. Although Figure 9 An example is shown in which the eNB 830 includes multiple antennas 840, but the eNB 830 may also include a single antenna 840.

[0111] The base station equipment 850 includes a controller 851, a memory 852, a network interface 853, a wireless communication interface 855, and a connection interface 857. The controller 851, memory 852, and network interface 853 are connected to a reference... Figure 9 The controller 821, memory 822, and network interface 823 described are the same.

[0112] The wireless communication interface 855 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 860 via the RRH 860 and antenna 840. The wireless communication interface 855 may typically include, for example, a BB processor 856. In addition to the BB processor 856 being connected to the RF circuitry 864 of the RRH 860 via a connection interface 857, the BB processor 856 is connected to the reference... Figure 9 The described BB processor 826 is the same. Figure 9 As shown, the wireless communication interface 855 may include multiple BB processors 856. For example, the multiple BB processors 856 may be compatible with multiple frequency bands used by the eNB 830. Although Figure 9 An example is shown in which the wireless communication interface 855 includes multiple BB processors 856, but the wireless communication interface 855 may also include a single BB processor 856.

[0113] Connection interface 857 is an interface for connecting base station device 850 (wireless communication interface 855) to RRH 860. Connection interface 857 can also be a communication module for connecting base station device 850 (wireless communication interface 855) to the aforementioned high-speed line of RRH 860.

[0114] The RRH 860 includes a connectivity interface 861 and a wireless communication interface 863.

[0115] Connection interface 861 is an interface for connecting RRH 860 (wireless communication interface 863) to base station equipment 850. Connection interface 861 can also be a communication module for communication in the aforementioned high-speed line.

[0116] The wireless communication interface 863 transmits and receives wireless signals via antenna 840. The wireless communication interface 863 typically includes, for example, RF circuitry 864. RF circuitry 864 may include, for example, a mixer, a filter, and an amplifier, and transmits and receives wireless signals via antenna 840. Figure 9 As shown, the wireless communication interface 863 may include multiple RF circuits 864. For example, the multiple RF circuits 864 may support multiple antenna elements. Although Figure 9 An example is shown in which the wireless communication interface 863 includes multiple RF circuits 864, but the wireless communication interface 863 may also include a single RF circuit 864.

[0117] When electronic device 100 is implemented Figure 9 In the case of the eNB 830 shown, its transceiver can be implemented by the wireless communication interface 855. At least a portion of the functionality can also be implemented by the controller 851. For example, the controller 851 can divide the candidate beams into multiple beam subsets by performing the functions of the units in the electronic device 100.

[0118] [Application examples related to user equipment]

[0119] (First application example)

[0120] Figure 10 This is a block diagram illustrating an example of a schematic configuration of a smartphone 900 to which the technologies of this disclosure can be applied. The smartphone 900 includes a processor 901, a memory 902, a storage device 903, an external connection interface 904, a camera device 906, a sensor 907, a microphone 908, an input device 909, a display device 910, a speaker 911, a wireless communication interface 912, one or more antenna switches 915, one or more antennas 916, a bus 917, a battery 918, and an auxiliary controller 919.

[0121] The processor 901 can be, for example, a CPU or a system-on-a-chip (SoC), and controls the application layer and other functions of the smartphone 900. The memory 902 includes RAM and ROM, and stores data and programs executed by the processor 901. The storage device 903 can include storage media such as semiconductor memory and hard disks. The external connectivity interface 904 is an interface for connecting external devices, such as memory cards and Universal Serial Bus (USB) devices, to the smartphone 900.

[0122] The camera device 906 includes an image sensor (such as a charge-coupled device (CCD) and complementary metal-oxide-semiconductor (CMOS)) and generates captured images. The sensor 907 may include a set of sensors, such as a measurement sensor, a gyroscope sensor, a magnetometer sensor, and an accelerometer sensor. The microphone 908 converts sound input to the smartphone 900 into an audio signal. The input device 909 includes, for example, a touch sensor, keypad, keyboard, buttons, or switches configured to detect touches on the screen of the display device 910 and receives operations or information input from the user. The display device 910 includes a screen (such as a liquid crystal display (LCD) and an organic light-emitting diode (OLED) display) and displays the output image of the smartphone 900. The speaker 911 converts the audio signal output from the smartphone 900 into sound.

[0123] The wireless communication interface 912 supports any cellular communication scheme (such as LTE and LTE-Advanced) and performs wireless communication. The wireless communication interface 912 typically includes, for example, a BB processor 913 and RF circuitry 914. The BB processor 913 can perform, for example, encoding / decoding, modulation / demodulation, and multiplexing / demultiplexing, and performs various types of signal processing for wireless communication. Meanwhile, the RF circuitry 914 can include, for example, mixers, filters, and amplifiers, and transmits and receives wireless signals via antenna 916. Note that although the figure shows a scenario where one RF link is connected to one antenna, this is only illustrative; scenarios where an RF link is connected to multiple antennas via multiple phase shifters are also included. The wireless communication interface 912 can be a single chip module on which the BB processor 913 and RF circuitry 914 are integrated. Figure 10 As shown, the wireless communication interface 912 may include multiple BB processors 913 and multiple RF circuits 914. Although Figure 10 An example is shown in which the wireless communication interface 912 includes multiple BB processors 913 and multiple RF circuits 914, but the wireless communication interface 912 may also include a single BB processor 913 or a single RF circuit 914.

[0124] In addition to cellular communication schemes, the wireless communication interface 912 can 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 912 may include a BB processor 913 and RF circuitry 914 for each wireless communication scheme.

[0125] Each of the antenna switches 915 switches the connection destination of the antenna 916 among multiple circuits (e.g., circuits for different wireless communication schemes) included in the wireless communication interface 912.

[0126] Each of the antennas 916 includes one or more antenna elements (such as multiple antenna elements included in a MIMO antenna) and is used by the wireless communication interface 912 to transmit and receive wireless signals. Figure 10 As shown, the smartphone 900 may include multiple antennas 916. Although Figure 10 An example is shown in which the smartphone 900 includes multiple antennas 916, but the smartphone 900 may also include a single antenna 916.

[0127] Furthermore, the smartphone 900 may include an antenna 916 for each wireless communication scheme. In this case, the antenna switch 915 can be omitted from the configuration of the smartphone 900.

[0128] Bus 917 connects processor 901, memory 902, storage device 903, external connection interface 904, camera device 906, sensor 907, microphone 908, input device 909, display device 910, speaker 911, wireless communication interface 912, and auxiliary controller 919 to each other. Battery 918 supplies power to... Figure 10 The various blocks of the smartphone 900 shown are powered, and the feeders are partially shown as dashed lines in the figure. The auxiliary controller 919 operates the minimum necessary functions of the smartphone 900, for example, in sleep mode.

[0129] When electronic device 200 is implemented, for example, as a smartphone on the user equipment side, for example Figure 10 In the case of the smartphone 900 shown, the transceiver of the electronic device 200 can be implemented by the wireless communication interface 912. At least a portion of the functionality can also be implemented by the processor 901 or the auxiliary controller 919. For example, the processor 901 or the auxiliary controller 919 can divide the candidate beams into multiple beam subsets by executing the functions of the units in the electronic device 200 described above.

[0130] (Second application example)

[0131] Figure 11This is a block diagram illustrating an example of a schematic configuration of a car navigation device 920 to which the technology of this disclosure can be applied. The car navigation device 920 includes a processor 921, a memory 922, a Global Positioning System (GPS) module 924, a sensor 925, a data interface 926, a content player 927, a storage medium interface 928, an input device 929, a display device 930, a speaker 931, a wireless communication interface 933, one or more antenna switches 936, one or more antennas 937, and a battery 938.

[0132] The processor 921 can be, for example, a CPU or a SoC, and controls the navigation functions and other functions of the car navigation device 920. The memory 922 includes RAM and ROM, and stores data and programs executed by the processor 921.

[0133] GPS module 924 uses GPS signals received from GPS satellites to measure the location (such as latitude, longitude, and altitude) of car navigation device 920. Sensor 925 may include a set of sensors, such as a gyroscope sensor, a geomagnetic sensor, and an air pressure sensor. Data interface 926 is connected to, for example, an in-vehicle network 941 via a terminal not shown, and acquires data generated by the vehicle (such as vehicle speed data).

[0134] Content player 927 reproduces content stored on storage media (such as CDs and DVDs), which is inserted into storage media interface 928. Input device 929 includes, for example, a touch sensor, button, or switch configured to detect touch on the screen of display device 930, and receives operations or information input from the user. Display device 930 includes a screen such as an LCD or OLED display and displays images or reproduced content for navigation functions. Speaker 931 outputs sound for navigation functions or reproduced content.

[0135] The wireless communication interface 933 supports any cellular communication scheme (such as LTE and LTE-Advanced) and performs wireless communication. The wireless communication interface 933 typically includes, for example, a BB processor 934 and RF circuitry 935. The BB processor 934 can perform, for example, encoding / decoding, modulation / demodulation, and multiplexing / demultiplexing, and performs various types of signal processing for wireless communication. Meanwhile, the RF circuitry 935 can include, for example, a mixer, filters, and amplifiers, and transmits and receives wireless signals via an antenna 937. The wireless communication interface 933 can also be a chip module on which the BB processor 934 and RF circuitry 935 are integrated. Figure 11 As shown, the wireless communication interface 933 may include multiple BB processors 934 and multiple RF circuits 935. Although Figure 11An example is shown in which the wireless communication interface 933 includes multiple BB processors 934 and multiple RF circuits 935, but the wireless communication interface 933 may also include a single BB processor 934 or a single RF circuit 935.

[0136] In addition to cellular communication schemes, the wireless communication interface 933 can 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 933 may include a BB processor 934 and an RF circuit 935.

[0137] Each of the antenna switches 936 switches the connection destination of the antenna 937 among multiple circuits (such as circuits for different wireless communication schemes) included in the wireless communication interface 933.

[0138] Each of the antennas 937 includes one or more antenna elements (such as multiple antenna elements included in a MIMO antenna) and is used by the wireless communication interface 933 to transmit and receive wireless signals. Figure 11 As shown, the car navigation device 920 may include multiple antennas 937. Although Figure 11 An example is shown in which the car navigation device 920 includes multiple antennas 937, but the car navigation device 920 may also include a single antenna 937.

[0139] Furthermore, the car navigation device 920 may include an antenna 937 for each wireless communication scheme. In this case, the antenna switch 936 can be omitted from the configuration of the car navigation device 920.

[0140] Battery 938 via feeder to Figure 11 The various blocks of the car navigation device 920 shown are powered, and the feeders are partially shown as dashed lines in the figure. Battery 938 accumulates the power supplied from the vehicle.

[0141] When electronic device 200 is implemented, for example, as a car navigation device on the user device side, for example Figure 11 In the case of the illustrated car navigation device 920, the transceiver of the electronic device 200 can be implemented by the wireless communication interface 933. At least a portion of the functionality can also be implemented by the processor 921. For example, the processor 921 can divide the candidate beams into multiple beam subsets by executing the functions of the units in the electronic device 200 described above.

[0142] The technology disclosed herein can also be implemented as an in-vehicle system (or vehicle) 940 comprising one or more of the following blocks: a car navigation device 920, an in-vehicle network 941, and a vehicle module 942. The vehicle module 942 generates vehicle data (such as vehicle speed, engine speed, and fault information) and outputs the generated data to the in-vehicle network 941.

[0143] The basic principles of the present invention have been described above in conjunction with specific embodiments. However, it should be noted that those skilled in the art will understand that all or any step or component of the method and apparatus of the present invention can be implemented in any computing device (including processors, storage media, etc.) or network of computing devices, in the form of hardware, firmware, software or a combination thereof. This can be achieved by those skilled in the art using their basic circuit design knowledge or basic programming skills after reading the description of the present invention.

[0144] Furthermore, this invention also proposes a program product storing machine-readable instruction code. When the instruction code is read and executed by a machine, the method described above according to embodiments of the present invention can be performed.

[0145] Accordingly, the storage medium used to carry the program product storing the machine-readable instruction code is also included in the disclosure of this invention. Storage media include, but are not limited to, floppy disks, optical disks, magneto-optical disks, memory cards, memory sticks, etc.

[0146] When the present invention is implemented via software or firmware, the transmission from a storage medium or network to a computer with a dedicated hardware architecture (e.g., Figure 12 The general-purpose computer 1200 shown is equipped with the programs that constitute the software, and when various programs are installed, the computer is able to perform various functions, etc.

[0147] exist Figure 12 In this system, the Central Processing Unit (CPU) 1201 performs various processes based on programs stored in the Read-Only Memory (ROM) 1202 or programs loaded into the Random Access Memory (RAM) 1203 from the Storage Section 1208. The RAM 1203 also stores data required as needed when the CPU 1201 performs various processes, etc. The CPU 1201, ROM 1202, and RAM 1203 are interconnected via a bus 1204. An input / output interface 1205 is also connected to the bus 1204.

[0148] The following components are connected to the input / output interface 1205: input section 1206 (including keyboard, mouse, etc.), output section 1207 (including display, such as cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.), storage section 1208 (including hard disk, etc.), and communication section 1209 (including network interface card, such as LAN card, modem, etc.). The communication section 1209 performs communication processing via a network, such as the Internet. If necessary, a drive 1210 may also be connected to the input / output interface 1205. Removable media 1211, such as disk, optical disk, magneto-optical disk, semiconductor memory, etc., are installed on the drive 1210 as needed, so that computer programs read from them can be installed into the storage section 1208 as needed.

[0149] When the above series of processes are implemented by software, the program constituting the software is installed from a network such as the Internet or a storage medium such as removable media 1211.

[0150] Those skilled in the art will understand that such storage media are not limited to Figure 12 The illustration shows a removable medium 1211 containing a program, distributed separately from the device to provide the program to the user. Examples of removable media 1211 include disks (including floppy disks (registered trademark)), optical disks (including optical disc read-only memory (CD-ROM) and digital versatile disks (DVD)), magneto-optical disks (including mini-discs (MD) (registered trademark)), and semiconductor memory. Alternatively, the storage medium may be ROM 1202, a hard disk included in storage section 1208, etc., containing programs and distributed to the user along with the device containing them.

[0151] It should also be noted that in the apparatus, method, and system of the present invention, the components or steps can be decomposed and / or recombined. These decompositions and / or recombinations should be considered equivalent solutions of the present invention. Furthermore, the steps performing the above series of processes can naturally be executed in the order described, but are not necessarily required to be executed in chronological order. Some steps can be performed in parallel or independently of each other.

[0152] Finally, it should be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Furthermore, unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0153] While embodiments of the present invention have been described in detail above with reference to the accompanying drawings, it should be understood that the embodiments described above are merely illustrative and do not constitute a limitation thereof. Those skilled in the art can make various modifications and alterations to the above embodiments without departing from the spirit and scope of the present invention. Therefore, the scope of the present invention is defined only by the appended claims and their equivalents.

[0154] This technology can also be implemented as follows.

[0155] Option 1. An electronic device for wireless communication, comprising:

[0156] At least one processor; and

[0157] At least one memory, including computer program code, wherein the at least one memory and the computer program code are configured to cause the electronic device to execute via the at least one processor:

[0158] Candidate beams used for communication between the electronic device and user equipment within its coverage area are grouped into multiple beam subsets, and

[0159] Based on the correlation between the multiple beam subsets, information about the packets is indicated to the user equipment.

[0160] Option 2. The electronic device according to Option 1, wherein,

[0161] The correlation includes at least one of the following: directional differences between different beam subsets, differences in the number of beams between different beam subsets, and correlations between the channel conditions corresponding to different beam subsets.

[0162] Option 3. The electronic device according to Option 1 or 2, wherein the at least one memory and the computer program code are configured to cause the electronic device to execute, via the at least one processor:

[0163] The candidate beams are grouped based on the estimated channel conditions and / or capability information representing the capabilities of the user equipment.

[0164] Option 4. The electronic device according to Option 3, wherein,

[0165] The capability information includes at least one of the following: the maximum number of beams that the user equipment can measure, the number of antennas of the user equipment, and the measurement error caused by the hardware of the user equipment.

[0166] Option 5. The electronic device according to Option 1 or 2, wherein the at least one memory and the computer program code are configured to cause the electronic device to execute, via the at least one processor:

[0167] Based on the collected historical information about the user equipment, the candidate beams are grouped using a pre-trained first model to obtain a selected subset of beams to be used for communication between the electronic equipment and the user equipment.

[0168] Option 6. The electronic device according to Option 5, wherein,

[0169] The historical information includes observations of the channel in which the user equipment is located and / or monitoring results of the user equipment's mobility.

[0170] Option 7. The electronic device according to Option 6, wherein,

[0171] The mobility of the user equipment is characterized by the movement trajectory of the user equipment.

[0172] Option 8. The electronic device according to any one of Options 5 to 7, wherein,

[0173] When the number of beams included in the selected beam subset is less than or equal to a predetermined threshold, beam management is performed based on beam scanning.

[0174] If the number of beams included in the selected beam subset is greater than the predetermined threshold, beam management is performed based on a pre-trained second model.

[0175] Option 9. The electronic device according to any one of Options 1 to 8, wherein,

[0176] The density of the reference signal in the time and / or frequency domains is enhanced for use in channel estimation.

[0177] Option 10. An electronic device for wireless communication, comprising:

[0178] At least one processor; and

[0179] At least one memory, including computer program code, wherein the at least one memory and the computer program code are configured to cause the electronic device to execute via the at least one processor:

[0180] The candidate beams for communication between the network-side devices providing services to the electronic device and the electronic device are divided into multiple beam subsets, and

[0181] Based on the correlation between the multiple beam subsets, information about the packets is reported to the network-side device.

[0182] Option 11. The electronic device according to Option 10, wherein,

[0183] The correlation includes at least one of the following: directional differences between different beam subsets, differences in the number of beams between different beam subsets, and correlations between the channel conditions corresponding to different beam subsets.

[0184] Option 12. The electronic device according to Option 10 or 11, wherein the at least one memory and the computer program code are configured to cause the electronic device to execute, via the at least one processor:

[0185] The candidate beams are grouped based on the estimated channel conditions and / or capability information representing the capabilities of the electronic device.

[0186] Option 13. The electronic device according to Option 12, wherein,

[0187] The capability information includes at least one of the following: the maximum number of beams that the electronic device can measure, the number of antennas of the electronic device, and the measurement error caused by the hardware of the electronic device.

[0188] Option 14. The electronic device according to Option 10 or 11, wherein the at least one memory and the computer program code are configured to cause the electronic device to execute, via the at least one processor:

[0189] Based on the collected historical information about the electronic device, the candidate beams are grouped using a pre-trained first model to obtain a selected subset of beams for communication between the network-side device and the electronic device.

[0190] Option 15. The electronic device according to Option 14, wherein,

[0191] The historical information includes observations of the channel in which the electronic device is located and / or monitoring results of the mobility of the electronic device.

[0192] Option 16. The electronic device according to Option 15, wherein,

[0193] The mobility of the electronic device is characterized by its motion trajectory.

[0194] Option 17. The electronic device according to any one of Options 14 to 16, wherein,

[0195] When the number of beams included in the selected beam subset is less than or equal to a predetermined threshold, beam management is performed based on beam scanning.

[0196] If the number of beams included in the selected beam subset is greater than the predetermined threshold, beam management is performed based on a pre-trained second model.

[0197] Option 18. The electronic device according to any one of Options 10 to 17, wherein,

[0198] The density of the reference signal in the time and / or frequency domains is enhanced for use in channel estimation.

[0199] Option 19. A method for wireless communication, comprising:

[0200] Candidate beams used for communication between electronic devices and user equipment within the coverage area of ​​said electronic devices are grouped into multiple beam subsets, and

[0201] Based on the correlation between the multiple beam subsets, information about the packets is indicated to the user equipment.

[0202] Option 20. A method for wireless communication, comprising:

[0203] The candidate beams used by network-side devices to provide services to electronic devices and communicate with the electronic devices are divided into multiple beam subsets, and

[0204] Based on the correlation between the multiple beam subsets, information about the packets is reported to the network-side device.

[0205] Scheme 21. A computer-readable storage medium having stored thereon computer-executable instructions that, when executed, perform the method according to Scheme 19 or 20.

Claims

1. An electronic device for wireless communication, 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 cause the electronic device to execute via the at least one processor: Candidate beams used for communication between the electronic device and user equipment within its coverage area are grouped into multiple beam subsets, and Based on the correlation between the multiple beam subsets, information about the packets is indicated to the user equipment.

2. The electronic device according to claim 1, wherein, The correlation includes at least one of the following: directional differences between different beam subsets, differences in the number of beams between different beam subsets, and correlations between the channel conditions corresponding to different beam subsets.

3. The electronic device according to claim 1 or 2, wherein, The at least one memory and the computer program code are configured to cause the electronic device to execute, via the at least one processor: The candidate beams are grouped based on the estimated channel conditions and / or capability information representing the capabilities of the user equipment.

4. The electronic device according to claim 3, wherein, The capability information includes at least one of the following: the maximum number of beams that the user equipment can measure, the number of antennas of the user equipment, and the measurement error caused by the hardware of the user equipment.

5. The electronic device according to claim 1 or 2, wherein, The at least one memory and the computer program code are configured to cause the electronic device to execute, via the at least one processor: Based on the collected historical information about the user equipment, the candidate beams are grouped using a pre-trained first model to obtain a selected subset of beams to be used for communication between the electronic equipment and the user equipment.

6. The electronic device according to claim 5, wherein, The historical information includes observations of the channel in which the user equipment is located and / or monitoring results of the user equipment's mobility.

7. An electronic device for wireless communication, 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 cause the electronic device to execute via the at least one processor: The candidate beams for communication between the network-side devices providing services to the electronic device and the electronic device are divided into multiple beam subsets, and Based on the correlation between the multiple beam subsets, information about the packets is reported to the network-side device.

8. A method for wireless communication, comprising: Candidate beams used for communication between electronic devices and user equipment within the coverage area of ​​said electronic devices are grouped into multiple beam subsets, and Based on the correlation between the multiple beam subsets, information about the packets is indicated to the user equipment.

9. A method for wireless communication, comprising: The candidate beams used by network-side devices to provide services to electronic devices and communicate with the electronic devices are divided into multiple beam subsets, and Based on the correlation between the multiple beam subsets, information about the packets is reported to the network-side device.

10. A computer-readable storage medium having stored thereon computer-executable instructions that, when executed, perform the method according to claim 8 or 9.

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