Configuration method and device, computer equipment, readable storage medium and program product
By using reconstructible intelligent reflective surfaces in the base station of the synesthesia integrated system to build a virtual line of sight channel, the problem of perception and communication performance degradation when the line of sight channel between the base station and the user terminal and the perceived target does not exist, and the effect of improving the perceived and communication service quality is achieved.
Patent Information
- Application Number
- CN202411905707.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-23
- Publication Date
- 2025-04-01
- Estimated Expiration
- 2044-12-23
AI Technical Summary
In the synesthesia integrated system, since it is impossible for a long-term view channel to exist between the base station and the user terminal and the perceived target, the service quality of the perceived performance and communication performance of the base station are degraded.
By using the reconstructible intelligent reflection surface in the base station, the first channel state information between the user terminal and the base station during the current time slot period is obtained, and the second channel state information between the intelligent reflection surface and the base station can be reconstructed, and the beamforming and reflection coefficient matrix in the perception slot and the transmission slot are determined to construct a virtual line of sight channel, assist in perception and communication.
When there is no line-of-sight channel between the base station and the target to be perceived and the user terminal, a virtual line-of-sight channel is constructed by reconstructing an intelligent reflective surface to improve the perceived performance of the base station and the communication service quality of the user terminal.
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Figure CN119743836A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of synaesthesia integration, and in particular to a configuration method, apparatus, computer equipment, computer-readable storage medium, and computer program product. Background Art
[0002] In the current synaesthesia integrated system, time division is usually used to avoid interference between perception signals and communication signals. In the perception time slot, a perception signal with a specific waveform is sent to the target, and then the echo signal reflected by the target is used to perceive the target's position, speed and other information. In the communication time slot, the base station provides communication services to the user terminal through traditional communication methods.
[0003] In traditional technologies, the base station's perception of a target and its perception performance mainly rely on the line-of-sight channel between the base station and the perceived target. In the communication time slot, the communication between the base station and the user terminal can also effectively ensure the communication quality of the data user through the line-of-sight channel between the base station and the user terminal.
[0004] However, due to the mobility of the sensing target and the user terminal, it is impossible for a line-of-sight channel to always exist between the base station and the user terminal, or between the base station and the sensing target, resulting in a serious degradation in the sensing performance of the base station and the service quality of the communication performance between the base station and the user terminal. Summary of the invention
[0005] Based on this, it is necessary to provide a configuration method, apparatus, computer device, computer-readable storage medium and computer program product to address the above technical issues.
[0006] In a first aspect, the present application provides a configuration method, the method being applied to a base station, the base station being connected to a reconfigurable smart reflective surface, the method comprising:
[0007] Acquire first channel state information between the user terminal and the base station in a current time slot period, and second channel state information between the reconfigurable intelligent reflective surface and the base station;
[0008] In a sensing time slot of the current time slot cycle, determining a first beamforming of the base station and a first reflection coefficient matrix of the reconfigurable smart reflection surface based on the second channel state information; and / or,
[0009] In a transmission time slot of the current time slot cycle, determining a second beamforming of the base station and a second reflection coefficient matrix of the reconfigurable smart reflection surface based on the first channel state information;
[0010] Among them, the first beamforming, the first reflection coefficient matrix, the second beamforming and the second reflection coefficient matrix are used to control the reconfigurable intelligent reflection surface to construct a virtual line-of-sight channel, assisting in the perception of the target to be perceived and / or the communication between the base station and the user terminal.
[0011] In one embodiment, the acquiring first channel state information between the user terminal and the base station in the current time slot period includes:
[0012] Acquiring direct link channel information between the user terminal and the base station based on the uplink pilot signal;
[0013] Based on the initial reflection coefficient of the reconfigurable smart reflective surface, obtaining cascade channel information of a reflection link between the reconfigurable smart reflective surface and the base station;
[0014] Based on the direct link channel information, the reflection link cascade channel information and channel reciprocity, first channel state information between the user terminal and the base station is determined.
[0015] In one embodiment, obtaining second channel state information between the reconfigurable smart reflective surface and the base station includes:
[0016] Obtaining position information of a reconfigurable smart reflective surface;
[0017] Based on the position information of the reconfigurable smart reflective surface and the position information of the base station, second channel state information between the reconfigurable smart reflective surface and the base station is determined.
[0018] In one of the embodiments, determining the first beamforming of the base station and the first reflection coefficient matrix of the reconfigurable smart reflection surface based on the second channel state information in the sensing time slot of the current time slot cycle includes:
[0019] In the perception time slot of the current time slot cycle, based on the second channel state information, the first beamforming of the base station and the first reflection coefficient matrix of the reconfigurable smart reflection surface are determined with the maximization of the target perception signal-to-noise ratio corresponding to each perception target as the optimization goal.
[0020] In one of the embodiments, determining the second beamforming of the base station and the second reflection coefficient matrix of the reconfigurable smart reflection surface based on the first channel state information in the transmission time slot of the current time slot cycle includes:
[0021] In the transmission time slot of the current time slot cycle, based on the first channel state information, the second beamforming of the base station and the second reflection coefficient matrix of the reconfigurable smart reflection surface are determined with maximizing the target received signal-to-interference ratio corresponding to each user terminal as the optimization goal.
[0022] In one of the embodiments, determining the second beamforming of the base station and the second reflection coefficient matrix of the reconfigurable smart reflection surface based on the first channel state information in the transmission time slot of the current time slot cycle includes:
[0023] In a transmission time slot of the current time slot cycle, based on the first channel state information and the first reflection coefficient matrix, the beamforming of the base station and the second reflection coefficient matrix of the reconfigurable smart reflection surface are determined with maximizing a target received signal-to-interference ratio as an optimization goal.
[0024] In a second aspect, the present application also provides a configuration device, including:
[0025] An acquisition module, used to acquire first channel state information between the user terminal and the base station in a current time slot period, and second channel state information between the reconfigurable intelligent reflective surface and the base station;
[0026] A first determination module is configured to determine, in a sensing time slot of the current time slot cycle, a first beamforming of the base station and a first reflection coefficient matrix of the reconfigurable smart reflection surface based on the second channel state information;
[0027] A second determination module is configured to determine, in a transmission time slot of the current time slot cycle, a second beamforming of the base station and a second reflection coefficient matrix of the reconfigurable smart reflection surface based on the first channel state information;
[0028] Among them, the first beamforming, the first reflection coefficient matrix, the second beamforming and the second reflection coefficient matrix are used to control the reconfigurable intelligent reflection surface to construct a virtual line-of-sight channel, assisting in the perception of the target to be perceived and / or the communication between the base station and the user terminal.
[0029] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:
[0030] Acquire first channel state information between the user terminal and the base station in a current time slot period, and second channel state information between the reconfigurable intelligent reflective surface and the base station;
[0031] In a sensing time slot of the current time slot cycle, determining a first beamforming of the base station and a first reflection coefficient matrix of the reconfigurable smart reflection surface based on the second channel state information; and / or,
[0032] In a transmission time slot of the current time slot cycle, determining a second beamforming of the base station and a second reflection coefficient matrix of the reconfigurable smart reflection surface based on the first channel state information;
[0033] Among them, the first beamforming, the first reflection coefficient matrix, the second beamforming and the second reflection coefficient matrix are used to control the reconfigurable intelligent reflection surface to construct a virtual line-of-sight channel, assisting in the perception of the target to be perceived and / or the communication between the base station and the user terminal.
[0034] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:
[0035] Acquire first channel state information between the user terminal and the base station in a current time slot period, and second channel state information between the reconfigurable intelligent reflective surface and the base station;
[0036] In a sensing time slot of the current time slot cycle, determining a first beamforming of the base station and a first reflection coefficient matrix of the reconfigurable smart reflection surface based on the second channel state information; and / or,
[0037] In a transmission time slot of the current time slot cycle, determining a second beamforming of the base station and a second reflection coefficient matrix of the reconfigurable smart reflection surface based on the first channel state information;
[0038] Among them, the first beamforming, the first reflection coefficient matrix, the second beamforming and the second reflection coefficient matrix are used to control the reconfigurable intelligent reflection surface to construct a virtual line-of-sight channel, assisting in the perception of the target to be perceived and / or the communication between the base station and the user terminal.
[0039] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:
[0040] Acquire first channel state information between the user terminal and the base station in a current time slot period, and second channel state information between the reconfigurable intelligent reflective surface and the base station;
[0041] In a sensing time slot of the current time slot cycle, determining a first beamforming of the base station and a first reflection coefficient matrix of the reconfigurable smart reflection surface based on the second channel state information; and / or,
[0042] In a transmission time slot of the current time slot cycle, determining a second beamforming of the base station and a second reflection coefficient matrix of the reconfigurable smart reflection surface based on the first channel state information;
[0043] Among them, the first beamforming, the first reflection coefficient matrix, the second beamforming and the second reflection coefficient matrix are used to control the reconfigurable intelligent reflection surface to construct a virtual line-of-sight channel, assisting in the perception of the target to be perceived and / or the communication between the base station and the user terminal.
[0044] The above-mentioned configuration method, apparatus, computer equipment, computer-readable storage medium and computer program product obtain the first channel state information between the user terminal and the base station in the current time slot period, and the second channel state information between the reconfigurable intelligent reflective surface and the base station; in the perception time slot of the current time slot period, based on the second channel state information, determine the first beamforming of the base station and the first reflection coefficient matrix of the reconfigurable intelligent reflective surface; in the transmission time slot of the current time slot period, based on the first channel state information, determine the second beamforming of the base station and the second reflection coefficient matrix of the reconfigurable intelligent reflective surface; wherein the first beamforming, the first reflection coefficient matrix, the second beamforming and the second reflection coefficient matrix are used to control the reconfigurable intelligent reflective surface to construct a virtual line-of-sight channel to assist in the perception of the target to be perceived and / or the communication between the base station and the user terminal. The method adopts the method of obtaining the first channel state information between the user terminal and the base station and obtaining the second channel state information between the reconfigurable intelligent reflection surface and the base station, determining the first beamforming of the base station and the first reflection coefficient matrix of the reconfigurable intelligent reflection surface in the perception time slot, and determining the second beamforming of the base station and the second reflection coefficient matrix of the reconfigurable intelligent reflection surface in the transmission time slot. Therefore, when there is no line-of-sight channel between the base station and the target to be perceived and between the base station and the user terminal, a virtual line-of-sight channel can be constructed with the help of the reconfigurable intelligent reflection surface to ensure the perception performance of the base station and the communication service quality of the user terminal. BRIEF DESCRIPTION OF THE DRAWINGS
[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.
[0046] Figure 1 An application environment diagram of a configuration method in an embodiment;
[0047] Figure 2 A schematic diagram of a configuration method in an embodiment;
[0048] Figure 3 A schematic diagram of a time-division synaesthesia integration system frame structure in one embodiment;
[0049] Figure 4 A schematic diagram of a flow chart of a step of determining first channel state information between a user terminal and a base station in an embodiment;
[0050] Figure 5 A schematic flow chart of a step of determining second channel state information between a reconfigurable smart reflective surface and a base station in one embodiment;
[0051] Figure 6 A schematic diagram of a flow chart of a step of determining a first beamforming and a first reflection coefficient matrix in one embodiment;
[0052] Figure 7 A schematic flow chart of the steps of determining a second beamforming and a second reflection coefficient matrix in one embodiment;
[0053] Figure 8 A schematic flow chart of a step of determining a second beamforming and a second reflection coefficient matrix in another embodiment;
[0054] Fig. 9 It is a structural block diagram of a configuration device in one embodiment;
[0055] Fig.10 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION
[0056] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.
[0057] The configuration method provided in the embodiment of the present application can be applied to Figure 1In the application environment of synaesthesia integration shown in the figure. Among them, the synaesthesia integration application environment includes a base station 110 and a reconfigurable intelligent reflective surface 120 (RIS, Reconfigurable Intelligent Surface). The synaesthesia integration system also involves a target 130 to be sensed and a user terminal for realizing communication. There is a line-of-sight channel between the sensed target and the base station, and there is a line-of-sight channel between the user terminal and the base station. However, due to the mobility of the target to be sensed and the user terminal, it is impossible for the line-of-sight channel to always exist between the base station and the user terminal, and between the base station and the sensed target. Therefore, in order to ensure the perception performance of the base station and the service quality of the user terminal, a reconfigurable intelligent surface is added to the synaesthesia integration system of the present application. The reconfigurable intelligent surface can be installed on the outer surface of the target building and connected to the base station by wire or wireless. In this way, when there is no line-of-sight channel between the base station and the user terminal and / or the base station and the sensed target, a virtual line-of-sight channel is constructed through the reconfigurable intelligent reflective surface to realize the perception function of the base station and ensure the service quality of the user terminal. Specifically, the method is applied to the base station, and the base station obtains the first channel state information between the user terminal and the base station in the current time slot period, and the second channel state information between the reconfigurable intelligent reflective surface and the base station. In a sensing time slot of the current time slot cycle, a first beamforming of the base station and a first reflection coefficient matrix of the reconfigurable smart reflection surface are determined based on the second channel state information. In a transmission time slot of the current time slot cycle, a second beamforming of the base station and a second reflection coefficient matrix of the reconfigurable smart reflection surface are determined based on the first channel state information.
[0058] Among them, beamforming and reflection coefficient matrix are used to control the reconfigurable intelligent reflection surface to construct a virtual line-of-sight channel, which assists in the perception of the target to be perceived and / or the communication between the base station and the user terminal.
[0059] The terminal 102 may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart car devices, projection devices, etc. Portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. Head-mounted devices may be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc. The server 104 may be an independent physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server that provides cloud computing services.
[0060] In an exemplary embodiment, Figure 2 As shown, a configuration method is provided, which is applied to Figure 1The base station in FIG. 1 is taken as an example to illustrate, and the method includes the following steps 202 to 206. Among them:
[0061] Step 202: Acquire first channel state information between the user terminal and the base station and second channel state information between the reconfigurable intelligent reflective surface and the base station in the current time slot period.
[0062] In the implementation, in the synaesthesia integrated system, the base station provides the perception function and the communication function in a time-division manner to avoid interference between the perception signal and the communication signal, such as Figure 3 As shown, Figure 3 It is a time-division synaesthesia integrated system frame structure, in which the perception time slot (represented by S) and the communication time slot (represented by C) are constantly switched. Furthermore, the base station is also connected to the reconfigurable intelligent reflection surface, and the direction or amplitude of the reflection beam of the reconfigurable intelligent reflection surface is controlled by adjusting the reflection coefficient of the reconfigurable intelligent reflection surface. In this way, in order to provide better perception performance and communication services with the help of the reconfigurable intelligent reflection surface, the base station needs to configure the beamforming of the base station and the reflection coefficient of the reconfigurable intelligent reflection surface. Therefore, the base station obtains the first channel state information between the user terminal and the base station in the current time slot period, and the second channel state information between the reconfigurable intelligent reflection surface and the base station.
[0063] Step 204: Determine, in a sensing time slot of the current time slot cycle, a first beamforming of the base station and a first reflection coefficient matrix of the reconfigurable smart reflection surface based on the second channel state information.
[0064] In implementation, during the time slot switching process of the base station, if the current time slot cycle is a sensing time slot, and there is no direct line-of-sight channel between the base station and the target to be sensed due to the movement of the target to be sensed, the base station constructs an objective function and constraint conditions based on the second channel state information acquired in advance, optimizes the objective function when the constraint conditions are met, and determines the first beamforming of the base station and the first reflection coefficient matrix of the reconfigurable smart reflection surface in this case when the function value of the objective function is optimized. In this way, after the base station determines the first beamforming and the first reflection coefficient matrix of the reconfigurable smart reflection surface, the base station can configure the reconfigurable smart reflection surface based on the first reflection coefficient matrix, so as to reflect the beam with the help of the configured reconfigurable smart reflection surface, thereby constructing a virtual line-of-sight channel between the reconfigurable smart reflection surface, the base station and the target to be sensed, so as to ensure the high perception performance of the base station.
[0065] Step 206: Determine, in a transmission time slot of the current time slot cycle, a second beamforming of the base station and a second reflection coefficient matrix of the reconfigurable smart reflection surface based on the first channel state information.
[0066] Among them, the first beamforming, the first reflection coefficient matrix, the second beamforming and the second reflection coefficient matrix are used to control the reconfigurable intelligent reflection surface to construct a virtual line-of-sight channel to assist in the perception of the target to be perceived and / or the communication between the base station and the user terminal.
[0067] In implementation, when the current time slot period switches to the transmission time slot (also called the communication time slot), due to the mobility of the user terminal, there is no direct line-of-sight channel between the base station and the user terminal. The base station constructs the objective function and the constraint condition based on the first channel state information acquired in advance, optimizes the objective function when the constraint condition is satisfied, and determines the second beamforming of the base station and the second reflection coefficient matrix of the reconfigurable intelligent reflection surface in this case when the function value of the objective function is optimized. In this way, after the base station determines the second beamforming and the second reflection coefficient matrix of the reconfigurable intelligent reflection surface, the base station can configure the reconfigurable intelligent reflection surface based on the second reflection coefficient matrix to reflect the beam with the help of the configured reconfigurable intelligent reflection surface, thereby constructing a virtual line-of-sight channel between the reconfigurable intelligent reflection surface, the base station and the user terminal, so as to ensure that the base station provides high-quality communication services to the user.
[0068] In the above configuration method, the first channel state information between the user terminal and the base station in the current time slot period and the second channel state information between the reconfigurable intelligent reflection surface and the base station are obtained; in the perception time slot of the current time slot period, based on the second channel state information, the first beamforming of the base station and the first reflection coefficient matrix of the reconfigurable intelligent reflection surface are determined; in the transmission time slot of the current time slot period, based on the first channel state information, the second beamforming of the base station and the second reflection coefficient matrix of the reconfigurable intelligent reflection surface are determined; wherein the beamforming and the reflection coefficient matrix are used to control the reconfigurable intelligent reflection surface to construct a virtual line-of-sight channel, to assist in the perception of the target to be perceived and / or the communication between the base station and the user terminal. The method adopts the method of obtaining the first channel state information between the user terminal and the base station and obtaining the second channel state information between the reconfigurable intelligent reflection surface and the base station, determining the first beamforming of the base station and the first reflection coefficient matrix of the reconfigurable intelligent reflection surface in the perception time slot, and determining the second beamforming of the base station and the second reflection coefficient matrix of the reconfigurable intelligent reflection surface in the transmission time slot. Therefore, when there is no line-of-sight channel between the base station and the target to be perceived and between the base station and the user terminal, a virtual line-of-sight channel can be constructed with the help of the reconfigurable intelligent reflection surface to ensure the perception performance of the base station and the communication service quality of the user terminal.
[0069] In an exemplary embodiment, Figure 4As shown, the specific processing process of obtaining the first channel state information between the user terminal and the base station in the current time slot period in step 202 includes steps 402 to 406. Among them:
[0070] Step 402: Acquire direct link channel information between the user terminal and the base station based on the uplink pilot signal.
[0071] In the implementation, the base station obtains the direct link channel information between the user terminal and the base station based on the uplink pilot signal. Specifically, the user terminal actively sends a first pilot signal to the base station, and the first pilot signal is used for channel estimation, that is, the base station can measure the wireless channel characteristics between the user terminal and the base station, such as fading value, delay, etc., by sending a known pilot signal by the user terminal, thereby obtaining the direct link channel information between the user terminal and the base station.
[0072] Optionally, the number of user terminals that perform channel estimation with the base station can be one or more. The embodiment of the present application does not limit the number of user terminals that interact with the base station. When the number of user terminals is multiple, the base station obtains direct link channel information between the multiple user terminals.
[0073] Step 404: based on the initial reflection coefficient of the reconfigurable smart reflective surface, obtain the cascade channel information of the reflection link between the reconfigurable smart reflective surface and the base station.
[0074] In implementation, after the base station obtains the direct link channel information between the base station and the user terminal, the base station can perform initial configuration on the reconfigurable intelligent reflective surface based on the initial reflection coefficient of the reconfigurable intelligent reflective surface (i.e., the initial RIS reflection coefficient). After the configuration of the reconfigurable intelligent reflective surface is completed, the base station sends a waveform signal to the reconfigurable intelligent reflective surface, so that, based on the reflection of the reconfigurable intelligent reflective surface, the base station can measure the reflection link cascade channel information between the reconfigurable intelligent reflective surface and the base station.
[0075] Step 406: Determine first channel state information between the user terminal and the base station based on the direct link channel information, the reflection link cascade channel information, and the channel reciprocity.
[0076] In the implementation, the base station calculates the measured direct link channel information and reflection link cascade channel information to determine the uplink channel state information between the current user terminal and the base station. This process can be performed multiple times, that is, the base station controls the direction or amplitude of the reflected beam by adjusting the reflection coefficient of the RIS, thereby obtaining multiple sets of direct link channel information and reflection link cascade channel information, so that multiple uplink channel state information between the user terminal and the base station can be further obtained. Since the current channel transmission has channel reciprocity, that is, the channel characteristics of the user terminal (transmitter) and the base station (receiver) are the same as the channel characteristics from the base station (receiver) to the user terminal (transmitter). In this way, after determining the uplink channel state information between the user terminal and the base station, the uplink channel state information is used as the downlink channel state information between the base station and the user terminal, that is, the first channel state information.
[0077] In this embodiment, direct link channel information and reflection link cascade channel information are obtained through uplink pilot and reconfigurable intelligent reflection surface, and first channel state information between the user terminal and the base station is determined through the direct link channel information, the reflection link cascade channel information and channel reciprocity, so that the beamforming of the base station and the second reflection coefficient matrix of the reconfigurable intelligent reflection surface are determined based on the first channel state information, thereby achieving improvement in the perception accuracy of the perception process.
[0078] In one embodiment, if Figure 5 As shown, the specific processing process of obtaining the second channel state information between the reconfigurable intelligent reflective surface and the base station in step 202 includes:
[0079] Step 502: Acquire position information of the reconfigurable smart reflective surface.
[0080] In implementation, the base station obtains the location information of the reconfigurable smart reflective surface. Generally, the reconfigurable smart reflective surface is set on the surface of the building's exterior wall, and the base station can send a beam signal, which is reflected by the reconfigurable smart reflective surface, and the base station obtains the reflected signal, thereby determining the location information of the reconfigurable smart reflective surface based on the sent beam signal and the reflected signal.
[0081] Step 504: determine second channel state information between the reconfigurable smart reflective surface and the base station based on the position information of the reconfigurable smart reflective surface and the position information of the base station.
[0082] In implementation, the base station stores its own location information, and then the base station determines the second channel state information between the reconfigurable smart reflective surface and the base station based on the location information of the reconfigurable smart reflective surface and the location information of the base station.
[0083] In this embodiment, the second channel state information between the reconfigurable intelligent reflecting surface and the base station is determined by the location information of the reconfigurable intelligent reflecting surface and the base station. The second state information is used to determine the second beamforming of the base station and the second reflection coefficient matrix of the reconfigurable intelligent reflecting surface, thereby improving the user communication service quality with the help of the reconfigurable intelligent reflecting surface.
[0084] In one embodiment, if Figure 6 As shown, the specific processing process of step 204 includes:
[0085] Step 602: In a sensing time slot of a current time slot cycle, based on the second channel state information, a first beamforming of a base station and a first reflection coefficient matrix of a reconfigurable smart reflection surface are determined with the optimization goal of maximizing a target sensing signal-to-noise ratio corresponding to each sensing target.
[0086] In implementation, in the sensing time slot of the current time slot cycle, it is necessary to sense the target to be sensed. When the target to be sensed is partially blocked by an object or not blocked by an object, the RIS reflection coefficient matrix can be adjusted to improve the sensing performance of the base station by using the physical line-of-sight channel and the virtual line-of-sight channel constructed by the RIS. If the target to be sensed is completely blocked by an object, there is no direct physical line-of-sight channel between the base station and the target to be sensed. Then, the base station can realize the communication service between the target to be sensed and the base station by adjusting the beamforming and the virtual line-of-sight channel constructed by the reflection coefficient of the RIS. Specifically, the base station adjusts the beamforming of the base station and the reflection coefficient matrix of the RIS based on the pre-calculated second channel state information, and configures the reconfigurable intelligent reflection surface through the adjusted beamforming and the reflection coefficient matrix of the RIS, so that the reconfigurable intelligent reflection surface constructs a virtual line-of-sight channel, that is, the perception signal in the perception process is reflected through the virtual line-of-sight channel to realize the perception of the target to be sensed. At the same time, in the process of perceiving each target to be sensed, the perception signal-to-noise ratio of each target to be sensed is calculated. The smallest perceptual signal-to-noise ratio among the perceptual signal-to-noise ratios corresponding to the targets to be sensed is taken as the target perceptual signal-to-noise ratio, and maximizing the target perceptual signal-to-noise ratio is taken as the optimization target. When the value of the target perceptual signal-to-noise ratio is maximized (that is, the target perceptual signal-to-noise ratio is greater than a preset perceptual signal-to-noise ratio threshold), the first beamforming given by the current base station and the first reflection coefficient matrix of the reconfigurable intelligent reflection surface are determined, and these are used as configuration parameters for the reconfigurable intelligent reflection surface, thereby determining the direction or amplitude of the reflection beam of the reconfigurable intelligent reflection surface to complete the perception process of all the targets to be sensed in the perception time slot.
[0087] Specifically, the process of determining the first beamforming of the base station and the first reflection coefficient matrix of the reconfigurable smart reflection surface includes:
[0088] The calculation formula of each perceived signal-to-noise ratio to be perceived is shown in the following formula (1):
[0089] (1)
[0090] In addition, the target perceptual signal-to-noise ratio (i.e., the minimum perceptual signal-to-noise ratio) corresponding to each perceptual target is maximized, and the corresponding objective function is shown in the following formula (2):
[0091] (2)
[0092] The objective function represents maximizing the minimum echo signal SNR (Signal-to-Noise Ratio) among all targets to be sensed, and the constraints are that the modulus of the reflection coefficient of each reflection unit of the RIS (Reconfigurable Intelligent Reflective Surface) is not greater than 1, and the maximum transmission power limit of the base station. Indicates the maximum transmit power of the base station. and They represent the base station’s transmission power and the clutter power when receiving echo signals, respectively. and represents the sensing waveform design (beamforming) of the base station, Represents the base station and the target to be sensed The covariance matrix of the equivalent channel between the two channels can be obtained based on the second channel state information obtained in step 202 and the RIS reflection coefficient matrix express, represents the filter design of the base station for processing echo signals, Represents the number of samples of the perceived signal.
[0093] By solving the objective function in this way, the first beamforming of the base station and the first reflection coefficient matrix of the reconfigurable smart reflection surface corresponding to the maximum objective function value can be determined.
[0094] In this embodiment, by maximizing the minimum perceived signal-to-noise ratio among all targets to be perceived, in the process of the base station adjusting the beamforming and the reflection coefficient matrix of the reconfigurable intelligent reflection surface, the beamforming and reflection coefficient matrix that meet the final conditions are determined, and the virtual line-of-sight channel constructed in this way can improve the perception performance of the base station, thereby improving the perception accuracy of the base station.
[0095] In one embodiment, if Figure 7 As shown, the specific processing process of step 206 includes:
[0096] Step 702: In a transmission time slot of the current time slot cycle, based on the first channel state information, a second beamforming of the base station and a second reflection coefficient matrix of the reconfigurable smart reflection surface are determined with the goal of maximizing the target received signal-to-interference ratio corresponding to each user terminal.
[0097] In implementation, when the current time slot period switches to the transmission time slot, communication between the user terminal and the base station is required. When the user terminal is partially blocked by an object or not blocked by an object, the RIS reflection coefficient matrix can be adjusted to improve the communication quality by using the physical line-of-sight channel and the virtual line-of-sight channel constructed by RIS. If the user terminal is completely blocked by an object and there is no direct physical line-of-sight channel between the user terminal and the base station, the base station can realize the communication service between the user terminal and the base station by adjusting the beamforming and the virtual line-of-sight channel constructed by the reflection coefficient matrix of RIS. Specifically, the base station adjusts the beamforming of the base station and the reflection coefficient matrix of the RIS based on the pre-calculated first channel state information, and configures the reconfigurable intelligent reflection surface through the adjusted beamforming and the reflection coefficient matrix of the RIS, so that the reconfigurable intelligent reflection surface constructs virtual line-of-sight information, that is, the communication signal in the communication process is reflected through the virtual line-of-sight channel to realize the communication service of the user terminal. At the same time, in the process of providing communication services to each user terminal, the receiving signal-to-noise ratio corresponding to each user terminal is calculated, and the maximization of the target receiving signal-to-noise ratio is used as the optimization target. When the value of the target receiving signal-to-noise ratio is maximized (that is, the target receiving signal-to-noise ratio is greater than a preset signal-to-interference-to-noise ratio threshold), the second beamforming given by the current base station and the second reflection coefficient matrix of the reconfigurable intelligent reflection surface are determined, and the second reflection coefficient matrix is used as the configuration parameter of the reconfigurable intelligent reflection surface, so as to determine the direction or amplitude of the reflection beam of the reconfigurable intelligent reflection surface to complete the communication process of all user terminals in the transmission time slot.
[0098] Specifically, the process of determining the second beamforming of the base station and the second reflection coefficient matrix of the reconfigurable smart reflection surface includes:
[0099] The calculation formula of the received signal-to-noise ratio of each user terminal is shown in the following formula (3):
[0100] (3)
[0101] In addition, the minimum received signal to interference and noise ratio among the received signal to interference and noise ratios corresponding to each user terminal is maximized. The objective function is shown in the following formula (4):
[0102] (4)
[0103] The objective function represents maximizing the minimum echo signal SINR (Signal to Interference plus Noise Ratio) of the communication signals at all user terminals. The constraints are that the modulus of the reflection coefficient of each reflection unit of the RIS is not greater than 1 and the maximum transmission power limit of the base station. Indicates the maximum transmit power of the base station. Indicates user terminal The receiver's additive noise power, Indicates the base station to the user terminal The transmit beamforming vector of Indicates base station and user terminal The equivalent channel between can be represented by the first channel state information obtained in the above step 202 and the RIS reflection coefficient matrix.
[0104] By solving the objective function in this way, the second beamforming of the base station and the second reflection coefficient matrix of the reconfigurable smart reflection surface corresponding to the maximum objective function value can be determined.
[0105] In this embodiment, by maximizing the minimum received signal-to-noise ratio among all user terminals, in the process of the base station adjusting the beamforming and the reflection coefficient matrix of the reconfigurable intelligent reflection surface, the beamforming and reflection coefficient matrix that meet the final conditions are determined, and the virtual line-of-sight channel constructed in this way can improve the communication performance of the base station, and then improve the communication service quality of the user terminal.
[0106] In one embodiment, if Figure 8 As shown, according to the actual system overhead limit, it is possible to support the sensing time slot and the communication time slot to use the same RIS reflection coefficient matrix to reduce the control overhead caused by frequent configuration of RIS. Specifically, the specific processing process of step 206 includes:
[0107] Step 802: In a transmission time slot of a current time slot cycle, based on the first channel state information and the first reflection coefficient matrix, a second reflection coefficient matrix of a beamforming and a reconfigurable smart reflection surface of a base station is determined with the maximization of a target received signal-to-interference ratio as an optimization target.
[0108] In implementation, the sensing time slot and the communication time slot (i.e., the transmission time slot) use the same RIS reflection coefficient matrix to reduce the control overhead caused by frequent configuration of RIS. Its essence is to determine the RIS reflection coefficient in the sensing time slot as a basis (using the RIS reflection coefficient in the sensing time slot as a constraint condition), and further adjust the beamforming and RIS reflection coefficient matrix based on the first channel state information, so that the reconfigurable intelligent reflection surface constructs a virtual line-of-sight channel, that is, the communication signal in the transmission process is reflected through the virtual line-of-sight channel to realize the communication of the user terminal. At the same time, in the process of communicating with each user terminal, the received signal-to-interference-and-noise ratio of each user terminal is calculated, and the minimum received signal-to-interference-and-noise ratio is used as the target received signal-to-interference-and-noise ratio, and the target received signal-to-interference-and-noise ratio is maximized. When the target received signal-to-interference-and-noise ratio is maximized, the beamforming given by the base station and the second reflection coefficient matrix of the reconfigurable intelligent reflection surface are determined.
[0109] Specifically, the process of determining the second beamforming of the base station and the second reflection coefficient matrix of the reconfigurable smart reflection surface includes:
[0110] Maximize the minimum received signal to interference and noise ratio among the received signal to interference and noise ratios corresponding to each user terminal. The objective function is shown in the following formula (5):
[0111] (5) (6)
[0112] The objective function is to maximize the minimum SINR of the communication signals at all user terminals. The constraints are, in turn, the limit on the SNR (i.e., the perceived signal-to-noise ratio) of the echo signals of each target to be sensed in the previous sensing time slot, the modulus of the reflection coefficient of each reflection unit of RIS is not greater than 1, and the maximum transmit power limit of the base station.
[0113] By solving the objective function in this way, the second beamforming of the base station and the second reflection coefficient matrix of the reconfigurable smart reflection surface corresponding to the maximum objective function value can be determined.
[0114] In this embodiment, the sensing time slot and the communication time slot use the same RIS reflection coefficient matrix to reduce the control overhead caused by frequent configuration of RIS, thereby ensuring the smoothness of service switching between the sensing process and the communication process.
[0115] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.
[0116] Based on the same inventive concept, the embodiment of the present application also provides a configuration device for implementing the configuration method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more configuration device embodiments provided below can refer to the limitations on the configuration method above, and will not be repeated here.
[0117] In an exemplary embodiment, Fig. 9 As shown, a configuration device 900 is provided, comprising: an acquisition module 901, a first determination module 902 and a second determination module 903, wherein:
[0118] The acquisition module 901 is used to acquire first channel state information between the user terminal and the base station and second channel state information between the reconfigurable intelligent reflective surface and the base station in the current time slot period.
[0119] The first determination module 902 is configured to determine, in a sensing time slot of a current time slot cycle, a first beamforming of a base station and a first reflection coefficient matrix of a reconfigurable smart reflection surface based on second channel state information.
[0120] The second determination module 903 is configured to determine, in a transmission time slot of a current time slot cycle, a second beamforming of the base station and a second reflection coefficient matrix of the reconfigurable smart reflection surface based on the first channel state information.
[0121] Among them, the first beamforming, the first reflection coefficient matrix, the second beamforming and the second reflection coefficient matrix are used to control the reconfigurable intelligent reflection surface to construct a virtual line-of-sight channel to assist in the perception of the target to be perceived and / or the communication between the base station and the user terminal.
[0122] In one embodiment, the acquisition module 901 is specifically configured to acquire direct link channel information between the user terminal and the base station based on the uplink pilot signal;
[0123] Based on the initial reflection coefficient of the reconfigurable smart reflection surface, cascade channel information of the reflection link between the reconfigurable smart reflection surface and the base station is obtained;
[0124] Based on the direct link channel information, the reflected link cascade channel information and the channel reciprocity, first channel state information between the user terminal and the base station is determined.
[0125] In one embodiment, the acquisition module 901 is specifically used to acquire the position information of the reconfigurable smart reflective surface;
[0126] Based on the position information of the reconfigurable smart reflective surface and the position information of the base station, second channel state information between the reconfigurable smart reflective surface and the base station is determined.
[0127] In one of the embodiments, the first determination module 902 is specifically used to determine the first beamforming of the base station and the first reflection coefficient matrix of the reconfigurable intelligent reflection surface in the perception time slot of the current time slot cycle based on the second channel state information, with the goal of maximizing the target perception signal-to-noise ratio corresponding to each perception target.
[0128] In one of the embodiments, the second determination module 903 is specifically used to determine the second beamforming of the base station and the second reflection coefficient matrix of the reconfigurable intelligent reflection surface in the transmission time slot of the current time slot cycle based on the first channel state information, with the goal of maximizing the target received signal-to-interference ratio corresponding to each user terminal.
[0129] In one embodiment, the second determination module 903 is specifically used to determine the second reflection coefficient matrix of the beamforming and reconfigurable intelligent reflection surface of the base station in the transmission time slot of the current time slot cycle based on the first channel state information and the first reflection coefficient matrix, with maximizing the target received signal-to-interference ratio as the optimization goal.
[0130] Each module in the above configuration device can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.
[0131] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Fig.10As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a configuration method is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.
[0132] Those skilled in the art will understand that Fig.10 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.
[0133] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:
[0134] Acquire first channel state information between the user terminal and the base station in the current time slot period, and second channel state information between the reconfigurable intelligent reflective surface and the base station;
[0135] In a sensing time slot of a current time slot cycle, determining a first beamforming of a base station and a first reflection coefficient matrix of a reconfigurable smart reflection surface based on the second channel state information; and / or,
[0136] In a transmission time slot of a current time slot cycle, determining a second beamforming of the base station and a second reflection coefficient matrix of the reconfigurable smart reflection surface based on the first channel state information;
[0137] Among them, the first beamforming, the first reflection coefficient matrix, the second beamforming and the second reflection coefficient matrix are used to control the reconfigurable intelligent reflection surface to construct a virtual line-of-sight channel to assist in the perception of the target to be perceived and / or the communication between the base station and the user terminal.
[0138] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:
[0139] Based on the uplink pilot signal, obtaining direct link channel information between the user terminal and the base station;
[0140] Based on the initial reflection coefficient of the reconfigurable smart reflection surface, cascade channel information of the reflection link between the reconfigurable smart reflection surface and the base station is obtained;
[0141] Based on the direct link channel information, the reflected link cascade channel information and the channel reciprocity, first channel state information between the user terminal and the base station is determined.
[0142] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:
[0143] Obtaining position information of a reconfigurable smart reflective surface;
[0144] Based on the position information of the reconfigurable smart reflective surface and the position information of the base station, second channel state information between the reconfigurable smart reflective surface and the base station is determined.
[0145] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:
[0146] In a sensing time slot of a current time slot cycle, based on the second channel state information, a first beamforming of the base station and a first reflection coefficient matrix of the reconfigurable smart reflection surface are determined with the maximization of a target sensing signal-to-noise ratio corresponding to each sensing target as an optimization goal.
[0147] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:
[0148] In a transmission time slot of a current time slot cycle, based on the first channel state information, a second beamforming of the base station and a second reflection coefficient matrix of the reconfigurable smart reflection surface are determined with maximizing a target received signal-to-interference ratio corresponding to each user terminal as an optimization goal.
[0149] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:
[0150] In a transmission time slot of a current time slot cycle, based on the first channel state information and the first reflection coefficient matrix, the beamforming of the base station and the second reflection coefficient matrix of the reconfigurable smart reflection surface are determined with maximizing the target received signal-to-interference ratio as the optimization goal.
[0151] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.
[0152] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.
[0153] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.
[0154] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.
[0155] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.
[0156] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.
Claims
1. A configuration method, characterized in that: The method is applied to a base station, the base station is connected to a reconfigurable intelligent reflective surface, and the method comprises: Acquire first channel state information between the user terminal and the base station in a current time slot period, and second channel state information between the reconfigurable intelligent reflective surface and the base station; In a sensing time slot of the current time slot cycle, determining a first beamforming of the base station and a first reflection coefficient matrix of the reconfigurable smart reflection surface based on the second channel state information; and / or, In a transmission time slot of the current time slot cycle, determining a second beamforming of the base station and a second reflection coefficient matrix of the reconfigurable smart reflection surface based on the first channel state information; Among them, the first beamforming, the first reflection coefficient matrix, the second beamforming and the second reflection coefficient matrix are used to control the reconfigurable intelligent reflection surface to construct a virtual line-of-sight channel, assisting in the perception of the target to be perceived and / or the communication between the base station and the user terminal.
2. The method according to claim 1, characterized in that The acquiring first channel state information between the user terminal and the base station in the current time slot period includes: Acquiring direct link channel information between the user terminal and the base station based on the uplink pilot signal; Based on the initial reflection coefficient of the reconfigurable smart reflective surface, obtaining cascade channel information of a reflection link between the reconfigurable smart reflective surface and the base station; Based on the direct link channel information, the reflection link cascade channel information and channel reciprocity, first channel state information between the user terminal and the base station is determined.
3. The method according to claim 1, characterized in that: Acquiring second channel state information between the reconfigurable intelligent reflective surface and the base station, including: Obtaining position information of a reconfigurable smart reflective surface; Based on the position information of the reconfigurable smart reflective surface and the position information of the base station, second channel state information between the reconfigurable smart reflective surface and the base station is determined.
4. The method according to claim 1, characterized in that: The step of determining, in a sensing time slot of the current time slot cycle, a first beamforming of the base station and a first reflection coefficient matrix of the reconfigurable smart reflection surface based on the second channel state information comprises: In the perception time slot of the current time slot cycle, based on the second channel state information, the first beamforming of the base station and the first reflection coefficient matrix of the reconfigurable smart reflection surface are determined with the maximization of the target perception signal-to-noise ratio corresponding to each perception target as the optimization goal.
5. The method according to claim 1, characterized in that The step of determining, in a transmission time slot of the current time slot cycle, a second beamforming of the base station and a second reflection coefficient matrix of the reconfigurable smart reflection surface based on the first channel state information comprises: In the transmission time slot of the current time slot cycle, based on the first channel state information, the second beamforming of the base station and the second reflection coefficient matrix of the reconfigurable smart reflection surface are determined with maximizing the target received signal-to-interference ratio corresponding to each user terminal as the optimization goal.
6. The method according to claim 1, characterized in that The step of determining, in a transmission time slot of the current time slot cycle, a second beamforming of the base station and a second reflection coefficient matrix of the reconfigurable smart reflection surface based on the first channel state information comprises: In a transmission time slot of the current time slot cycle, based on the first channel state information and the first reflection coefficient matrix, the beamforming of the base station and the second reflection coefficient matrix of the reconfigurable smart reflection surface are determined with maximizing a target received signal-to-interference ratio as an optimization goal.
7. A configuration device, characterized in that: The device is applied to a base station, the base station is connected to a reconfigurable intelligent reflective surface, and the device comprises: An acquisition module, used to acquire first channel state information between the user terminal and the base station in a current time slot period, and second channel state information between the reconfigurable intelligent reflective surface and the base station; A first determination module is configured to determine, in a sensing time slot of the current time slot cycle, a first beamforming of the base station and a first reflection coefficient matrix of the reconfigurable smart reflection surface based on the second channel state information; A second determination module is configured to determine, in a transmission time slot of the current time slot cycle, a second beamforming of the base station and a second reflection coefficient matrix of the reconfigurable smart reflection surface based on the first channel state information; Among them, the first beamforming, the first reflection coefficient matrix, the second beamforming and the second reflection coefficient matrix are used to control the reconfigurable intelligent reflection surface to construct a virtual line-of-sight channel, assisting in the perception of the target to be perceived and / or the communication between the base station and the user terminal.
8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.
10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.
Citation Information
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