Beam configuration method and device, computer equipment and readable storage medium

Abstract

The invention relates to the technical field of communication, in particular to a beam configuration method and device, computer equipment and a computer readable storage medium. The method comprises the following steps: acquiring a sensing period, a sensing range and a sensing performance demand of a target scene; the perception performance requirements comprise perception precision, perception resolution and refresh rate; acquiring sensing waveform information required when a sensing wave beam emitted by the base station executes the sensing function in the target scene from a data frame adopted by the base station for executing the communication and sensing function in the target scene; determining a beam scanning scheme of the sensing beam in the sensing period according to the sensing period, the sensing range and the sensing performance requirement; and configuring the sensing beam according to the sensing waveform information and the beam scanning scheme.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a beam configuration method, apparatus, computer equipment, and computer-readable storage medium. Background Art

[0002] Realizing an integrated design of communication and perception based on cellular networks mainly refers to integrating and enhancing communication and perception capabilities on the basis of existing cellular mobile communication networks, so that base stations and terminal equipment can simultaneously provide high-quality communication services and environmental perception functions.

[0003] In traditional technology, a separate design is often adopted for the integrated design of communication and perception, that is, communication and perception operate as two independent entities. They can share certain hardware components (such as antennas), but are usually independently optimized and designed in terms of signal processing, waveform design, frame structure, etc.

[0004] When dealing with the integrated design of communication and perception, traditional technologies mainly focus on the independent optimization of their respective fields, while ignoring the potential synergy between the two, making it difficult for traditional technologies to meet the perception needs of different perception scenarios. Summary of the invention

[0005] Based on this, it is necessary to provide a beam configuration method, device, computer equipment and computer-readable storage medium that can adaptively meet different perception needs in response to the above technical problems.

[0006] In a first aspect, the present application provides a beam configuration method, which is applied to a base station, and the method includes:

[0007] Obtain the perception cycle, perception range and perception performance requirements of the target scene; the perception performance requirements include perception accuracy, perception resolution and refresh rate;

[0008] Acquire, from the data frame used by the base station to perform communication and perception functions in the target scene, the perception waveform information required when the perception beam emitted by the base station performs the perception function in the target scene;

[0009] Determine a beam scanning scheme of the sensing beam within the sensing period according to the sensing period, sensing range and sensing performance requirements;

[0010] The sensing beam is configured according to the sensing waveform information and the beam scanning scheme.

[0011] In one of the embodiments, the target scene includes at least one perception area; the data frame includes a communication symbol and a perception symbol, and the perception symbol is used to describe the perception waveform information corresponding to each perception area;

[0012] The ratio between the number of communication symbols and the number of perception symbols is determined by the first intelligent model according to the scene type of the target scene, the communication performance requirement and the perception performance requirement of the target scene, and the communication and perception resource allocation constraints of the base station in the target scene;

[0013] The perception waveform information corresponding to each perception area is determined by the first intelligent model according to the scene type of the target scene and the perception range corresponding to the perception area, as well as the waveform coverage capability of each candidate waveform;

[0014] The first intelligent model is also used to determine the time slot position of each perception symbol in the data frame.

[0015] In one of the embodiments, determining a beam scanning scheme of a sensing beam within a sensing period according to a sensing period, a sensing range, and a sensing performance includes:

[0016] Allocating a beam period to a sensing beam corresponding to each sensing area; wherein each beam period is within a sensing period, and adjacent beam periods do not overlap each other;

[0017] For each sensing area, according to the sensing performance requirements and sensing range corresponding to the sensing area, a beam scanning scheme of the sensing beam used by the base station to perform the sensing function in the sensing area within the corresponding beam period is determined.

[0018] In one embodiment, the sensing range includes a sensing distance range and a sensing angle range; and determining a beam scanning scheme of a sensing beam within the sensing period according to the sensing period, the sensing range, and the sensing performance requirement includes:

[0019] Determine the beam width parameter and the total number of beams corresponding to the sensing area according to the sensing distance range and the sensing angle range of the sensing area;

[0020] According to the perception accuracy and perception resolution of the perception area, the beam width parameters and the total number of beams are processed to obtain a beam scanning scheme of the perception beam used by the base station to perform the perception function for the perception area within the corresponding beam period; the beam scanning scheme meets the refresh rate.

[0021] In one of the embodiments, a beam width parameter and a total number of beams are processed according to a sensing accuracy and a sensing resolution of a sensing area to obtain a beam scanning scheme of a sensing beam used by a base station to perform a sensing function for the sensing area within a corresponding beam period, including:

[0022] According to the sensing accuracy and the sensing resolution corresponding to the sensing area, the beam period of the sensing beam corresponding to the sensing area is divided to obtain a plurality of identical scanning periods;

[0023] According to the total number of beams, the number of scans corresponding to each scanning cycle is determined;

[0024] According to each scanning period and the number of scans corresponding to each scanning period, a beam scanning scheme of a sensing beam adopted by the base station to perform a sensing function within a sensing area within a corresponding beam period is determined.

[0025] In one of the embodiments, determining, according to each scanning period and the number of scans corresponding to each scanning period, a beam scanning scheme of a sensing beam used by a base station to perform a sensing function in a sensing area within a corresponding beam period includes:

[0026] For each scanning cycle, a plurality of identical frame cycles included in the scanning cycle are determined, and according to the scanning times corresponding to the scanning cycle, the scanning times and scanning intervals within each frame cycle are determined;

[0027] The number of intra-frame scans and the scanning interval of the frame period corresponding to each scanning period are determined to determine a beam scanning scheme in the corresponding beam period for the sensing beam adopted by the base station to perform the sensing function in the sensing area.

[0028] In one embodiment, the perception angle range includes a horizontal viewing angle range and a vertical viewing angle range; the perception accuracy includes but is not limited to distance accuracy, speed accuracy, and angle accuracy; and the perception resolution includes distance resolution, speed resolution, or angle resolution.

[0029] In one embodiment, allocating a beam period to a sensing beam corresponding to each sensing area includes:

[0030] The scene information of the target scene, the area information of each perception area and the beam information of the perception beam are input into the second intelligent model, and the second intelligent model outputs the perception beam allocation beam period corresponding to each perception area.

[0031] In a second aspect, the present application also provides a beam configuration device, including:

[0032] An acquisition module is used to acquire the perception cycle, perception range and perception performance requirements of the target scene; the perception performance requirements include perception accuracy, perception resolution and refresh rate;

[0033] A waveform determination module is used to obtain, from the data frame used by the base station to perform communication and perception functions in the target scene, the perception waveform information required when the perception beam emitted by the base station performs the perception function in the target scene;

[0034] A scanning scheme determination module, used to determine a beam scanning scheme of a sensing beam within a sensing period according to a sensing period, a sensing range and a sensing performance requirement;

[0035] The beam configuration module is used to configure the sensing beam according to the sensing waveform information and the beam scanning scheme.

[0036] 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:

[0037] Obtain the perception cycle, perception range and perception performance requirements of the target scene; the perception performance requirements include perception accuracy, perception resolution and refresh rate;

[0038] Acquire, from the data frame used by the base station to perform communication and perception functions in the target scene, the perception waveform information required when the perception beam emitted by the base station performs the perception function in the target scene;

[0039] Determine a beam scanning scheme of the sensing beam within the sensing period according to the sensing period, sensing range and sensing performance requirements;

[0040] The sensing beam is configured according to the sensing waveform information and the beam scanning scheme.

[0041] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the following steps are implemented:

[0042] Obtain the perception cycle, perception range and perception performance requirements of the target scene; the perception performance requirements include perception accuracy, perception resolution and refresh rate;

[0043] Acquire, from the data frame used by the base station to perform communication and perception functions in the target scene, the perception waveform information required when the perception beam emitted by the base station performs the perception function in the target scene;

[0044] Determine a beam scanning scheme of the sensing beam within the sensing period according to the sensing period, sensing range and sensing performance requirements;

[0045] The sensing beam is configured according to the sensing waveform information and the beam scanning scheme.

[0046] 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:

[0047] Obtain the perception cycle, perception range and perception performance requirements of the target scene; the perception performance requirements include perception accuracy, perception resolution and refresh rate;

[0048] Acquire, from the data frame used by the base station to perform communication and perception functions in the target scene, the perception waveform information required when the perception beam emitted by the base station performs the perception function in the target scene;

[0049] Determine a beam scanning scheme of the sensing beam within the sensing period according to the sensing period, sensing range and sensing performance requirements;

[0050] The sensing beam is configured according to the sensing waveform information and the beam scanning scheme.

[0051] The above-mentioned beam configuration method, device, computer equipment and computer-readable storage medium can ensure that the perception system covers the entire target scene in the best way by obtaining the perception period, perception range and perception performance requirements (including perception accuracy, perception resolution and refresh rate) of the target scene. This helps to reduce perception blind spots and improve the comprehensiveness and accuracy of perception. By obtaining the perception waveform information required by the perception beam emitted by the base station to perform the perception function in the target scene from the data frame, it can ensure that the perception beam matches the characteristics of the target scene. This helps to improve the penetration, anti-interference ability and echo quality of the perception signal, thereby further improving the perception accuracy and resolution.

[0052] According to the sensing cycle, sensing range and sensing performance requirements, the beam scanning scheme of the sensing beam within the sensing cycle is determined. This intelligent beam scanning strategy can ensure that the target scene is fully and efficiently scanned within a limited time, improving the sensing efficiency and refresh rate. The sensing beam is configured according to the sensing waveform information and the beam scanning scheme. This flexible configuration method enables the perception system to be dynamically adjusted according to actual needs to adapt to the perception needs under different scenarios and conditions. At the same time, it also helps to optimize the allocation and utilization of perception resources and reduce the energy consumption and cost of the perception system. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] 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.

[0054] FIG1 is a schematic diagram of a flow chart of a beam configuration method in an embodiment;

[0055] FIG2 is a flow chart of steps for determining a beam scanning scheme for a sensing beam within a sensing period according to a sensing period, a sensing range, and a sensing performance in one embodiment;

[0056] FIG3 is a schematic diagram of a beam scheme formed in a frame structure in one embodiment;

[0057] FIG4 is a flowchart of steps for determining a beam scanning scheme for a sensing beam used by a base station to perform a sensing function within a sensing area within a corresponding beam period according to a sensing performance requirement and a sensing range corresponding to the sensing area in an embodiment;

[0058] FIG5 is a flow chart showing steps of obtaining a beam scanning scheme of a sensing beam used by a base station to perform a sensing function for a sensing area within a corresponding beam period in another embodiment;

[0059] FIG6 is a flowchart of steps for determining a beam scanning scheme for a sensing beam used by a base station to perform a sensing function within a sensing area within a corresponding beam period in one embodiment;

[0060] FIG7 is a structural block diagram of a beam configuration device in one embodiment;

[0061] FIG. 8 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0062] 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.

[0063] In the context of the current dual demand for communication and perception capabilities in vehicles in multiple fields (air, ground, and water), communication and perception integration technology is particularly important and has received widespread attention. This technology uses the information generated by the interaction between wireless signals and the environment during the propagation process to not only achieve data transmission, but also provide the ability to perceive the surrounding environment. Through the widespread application of cellular networks, this technology can enhance the functions of base station equipment, achieve mutual assistance between perception and communication, and thus improve overall network performance and reduce operating costs.

[0064] To achieve integrated communication and perception based on cellular networks, detailed design must be carried out according to the specific needs of different scenarios. This includes frame structure, waveform selection, beam scanning scheme and other aspects. Among them:

[0065] (1) In the technology of synaesthesia (i.e., integration of communication and perception), the frame structure refers to the time or frequency unit structure used to organize and arrange the transmission of data during the communication and perception process. The frame structure needs to reasonably divide the time resources to support the simultaneous communication and perception functions. This includes determining the time slots for communication data transmission and the time slots for perception signal processing. The design of the frame structure also needs to consider how to optimize the use of communication and perception resources. For example, during periods of low perception demand, more time resources can be allocated to communication to improve the efficiency of data transmission. On the contrary, during periods of heavy perception tasks, the frame structure needs to be adjusted accordingly to meet the perception demand.

[0066] (2) Different waveforms have different characteristics, such as bandwidth, time width, resolution, etc. These characteristics will affect performance, such as communication rate, distance measurement accuracy, speed measurement capability, etc. Different application scenarios have different performance requirements for communication and perception. For example, in air traffic, drones and other aircraft require high-speed data transmission and accurate positioning and speed measurement capabilities, which may require the selection of waveforms with high bandwidth, low latency and good Doppler characteristics. In ground traffic, more emphasis can be placed on accurate perception and stable data transmission at close range, and the waveform selection will be adjusted accordingly.

[0067] (3) The design of the beam scanning scheme needs to consider multiple factors such as scanning speed, scanning range, beam width parameters, and beam gain;

[0068] Among them, the scanning speed refers to the speed at which the antenna scans in different directions, which directly affects the response time and tracking capability. A faster scanning speed can shorten the response time to the target and improve the real-time tracking of the target. However, too fast a scanning speed may also cause the antenna to be unable to fully focus the signal, affecting the quality of communication or perception. Therefore, when designing a beam scanning solution, it is necessary to reasonably set the scanning speed according to the needs of the specific application scenario to achieve a balance between response time and signal quality;

[0069] Scanning range refers to the angular area that the antenna beam can cover. A wider scanning range can expand the monitoring and communication range, but it can also lead to a decrease in beam gain, affecting the communication distance and quality. On the contrary, a narrower scanning range can increase beam gain, but it will limit the monitoring and communication range. Therefore, when designing a beam scanning solution, it is necessary to reasonably set the scanning range according to the actual needs of the application scenario to achieve the maximum monitoring and communication range while ensuring communication quality;

[0070] The beam width parameter refers to the width of the beam in space, which directly affects the directivity and gain. A narrower beam width parameter can improve the directivity and gain, but it will also reduce the coverage of the signal. When designing a beam scanning solution, it is necessary to reasonably set the beam width parameter according to the needs of the specific application scenario. For example, in application scenarios that require high-precision positioning and tracking, a narrower beam width parameter can be selected to improve positioning accuracy; in application scenarios that require wide coverage, a wider beam width parameter needs to be selected to expand the coverage.

[0071] Currently, flexible, dynamically configurable synaesthesia integration solutions are under research, and no unified conclusion has been reached, and improvements are urgently needed.

[0072] Based on this, in an exemplary embodiment, as shown in FIG1 , this embodiment provides a beam configuration method, which is described by taking the method applied to a base station as an example.

[0073] S101, obtaining the perception period, perception range and perception performance requirements of the target scene.

[0074] Among them, in the context of communication and perception integration, target scenarios refer to specific environments or situations that require the simultaneous realization of communication functions and perception functions.

[0075] Specifically, the target scenarios can cover multiple areas, such as airspace (such as drone flight supervision), ground (such as vehicle networking, smart home, climate and environmental monitoring) and water areas, etc. Each scenario has its own unique characteristics and requirements, and the communication perception integrated system needs to be designed specifically to meet these requirements.

[0076] For example, taking the drone scenario as an example, communication perception integration is mainly used for drone supervision, path planning and obstacle avoidance. Since drones fly at high speeds and require real-time supervision, the perception cycle should be as short as possible to ensure real-time tracking and supervision of drones. The length of the specific perception cycle needs to be considered comprehensively based on factors such as the drone's flight speed, flight altitude, and regulatory requirements. The perception range should cover all areas where drones may fly, including low altitude, medium altitude, and high altitude. In addition, sensitive areas or no-fly zones that drones may enter must be considered to ensure effective perception and supervision in these areas.

[0077] The sensing period refers to the time required for the base station to perform a complete sensing. When determining the beam scanning scheme, it is necessary to consider the length of the sensing period and its impact on system performance.

[0078] The sensing range refers to the spatial area of ​​the target scene that the base station can sense. When determining the beam scanning scheme, it is necessary to consider the size of the sensing range and its impact on the beam scanning strategy.

[0079] Among them, perception performance requirements include perception accuracy, perception resolution and refresh rate.

[0080] It can be understood that perception accuracy refers to the degree of closeness between the data obtained by the sensor or perception system and the actual value when measuring or perceiving the target object. It includes but is not limited to the following aspects:

[0081] Distance accuracy: refers to the accuracy of the perception system when measuring the distance between the target and the perception device. For example, in an autonomous driving scenario, the vehicle needs to accurately perceive the distance of surrounding obstacles to ensure driving safety.

[0082] Speed ​​accuracy: refers to the accuracy of the perception system in measuring the moving speed of the target object. In scenarios such as traffic monitoring and drone tracking, the speed accuracy requirement is usually high.

[0083] Angular accuracy: refers to the accuracy of the perception system in measuring the direction or angle of the target object. In scenarios such as radar detection and target tracking, angular accuracy is crucial for determining the target position and movement trajectory.

[0084] Furthermore, perception resolution refers to the ability of a sensor or perception system to distinguish or identify the smallest changes in a target object. It includes but is not limited to the following aspects:

[0085] Range resolution: refers to the minimum difference in distance between two target objects that the perception system can distinguish. In scenarios such as radar detection and sonar ranging, high range resolution helps to identify the target position more accurately.

[0086] Speed ​​resolution: refers to the minimum speed difference between two target objects that the perception system can distinguish. In scenarios such as traffic monitoring and drone tracking, high speed resolution helps to more accurately determine the motion state of the target object.

[0087] Angular resolution: refers to the minimum difference in direction or angle between two target objects that the perception system can distinguish. In scenarios such as radar detection and target tracking, high angular resolution helps to more accurately determine the target position and movement trajectory.

[0088] Furthermore, resolution is an important indicator to measure the ability of a perception system to capture details. It is usually related to factors such as the hardware design and signal processing algorithm of the perception system. In the integrated communication and perception system, in order to improve the perception resolution, more advanced sensor technology, optimized signal processing algorithms, and increased measurement dimensions (such as simultaneous measurement of distance, speed, and angle) can be used. These methods help improve the system's ability to capture details of the target object, thereby providing richer and more accurate perception information.

[0089] S102, acquiring, from a data frame used by the base station to perform communication and perception functions in the target scene, perception waveform information required when a perception beam emitted by the base station performs a perception function in the target scene.

[0090] The data frame is the basic unit for transmitting communication data and perception data in the integrated communication and perception system. The data frame contains not only information used for communication (such as user data, control information, etc.), but also waveform data used for perception. These data are organized in order in the data frame so that the base station can send and receive them efficiently.

[0091] In a data frame, the perception waveform information data is usually stored in specific fields or areas. These fields may include: Waveform identification: used to uniquely identify the type or characteristics of the perception waveform information. Waveform parameters: such as frequency, amplitude, phase, etc., which define the specific shape and characteristics of the perception waveform information. Timestamp: records the time slot position of the perception beam of the waveform. Other auxiliary information: such as waveform processing algorithms, calibration data, etc., used to improve perception accuracy and resolution.

[0092] Specifically, obtaining the perception waveform information required when the perception beam emitted by the base station performs the perception function in the target scene includes: first, the received data frame needs to be parsed to extract the perception waveform information data contained therein. This usually involves parsing and verifying the header, payload part and check code of the data frame. After parsing the data frame, the required perception waveform information data is extracted according to the waveform identifier and parameter field. Using the extracted waveform parameters, the perception waveform information is reconstructed through the corresponding algorithm or model.

[0093] S103: Determine a beam scanning scheme for the sensing beam within the sensing period according to the sensing period, sensing range and sensing performance requirements.

[0094] The beam scanning scheme refers to the strategy of how the base station scans and manages the sensing beams during the sensing cycle. It includes key contents such as the number and layout of beams, scanning parameters (such as scanning speed, frequency, angle, etc.) and scanning algorithms.

[0095] Optionally, the influence of the sensing period, sensing range and sensing performance requirements on the beam scanning scheme is analyzed respectively, exemplarily:

[0096] If the perception cycle is long, the target scene can be perceived more deeply in each cycle, improving the perception accuracy and resolution. However, this may also lead to a slower response to changes in the target scene. Short perception cycle: If the perception cycle is short, changes in the target scene can be captured more quickly, improving the response speed. However, this may also limit the time and resources available for perception in each cycle, thus affecting the perception accuracy and resolution.

[0097] If the sensing range is large, a more extensive beam scanning strategy is needed to cover the entire area. This may require increasing the number of beams and the scanning frequency to ensure full coverage of the target scene. If the sensing range is small, a more concentrated beam scanning strategy can be used to focus on sensing key areas. This helps improve sensing accuracy and resolution, but may also limit adaptability to changes in the target scene.

[0098] Perception accuracy and resolution: To meet the perception requirements of high accuracy and high resolution, a more sophisticated beam scanning scheme is needed. This may include strategies such as using narrower beam widths, increasing the number of beams, and scanning density.

[0099] Refresh rate: To meet the perception requirements of high refresh rates, the speed and frequency of beam scanning need to be increased. This may require strategies such as optimizing the beam scanning algorithm and increasing the hardware processing speed.

[0100] Determine the number and layout of beams: Determine the number and layout of beams based on the requirements of sensing range and sensing accuracy. The number of beams should be sufficient to ensure full coverage of the target scene, and the layout of beams should be reasonable to avoid mutual interference.

[0101] Set beam scanning parameters: Set the beam scanning parameters according to the requirements of the sensing cycle and refresh rate, including the beam scanning speed, scanning frequency, scanning angle, etc.

[0102] Optimize beam scanning algorithm: To improve the efficiency and accuracy of beam scanning, the beam scanning algorithm can be optimized. For example, an adaptive beam scanning algorithm can be used to dynamically adjust the beam scanning strategy according to changes in the target scene.

[0103] S104: Configure the sensing beam according to the sensing waveform information and the beam scanning scheme.

[0104] Specifically, according to the requirements of the sensing waveform information, determine the key parameters of the sensing beam, such as frequency, amplitude, and phase. These parameters should meet the requirements of the sensing task for performance such as accuracy, resolution, and refresh rate. Consider the requirements of the beam scanning scheme for the sensing beam, such as the number of beams, layout, and scanning parameters. Ensure that the configuration of the sensing beam can support the effective implementation of the beam scanning scheme.

[0105] In the above-mentioned beam configuration method, device, computer equipment and computer-readable storage medium, the present application obtains the perception period, perception range and perception performance requirements (including perception accuracy, perception resolution and refresh rate) of the target scene, and the scheme can ensure that the perception system covers the entire target scene in the best way. This helps to reduce perception blind spots and improve the comprehensiveness and accuracy of perception. Obtaining the perception waveform information required by the perception beam emitted by the base station when performing the perception function in the target scene from the data frame can ensure that the perception beam matches the characteristics of the target scene. This helps to improve the penetration, anti-interference ability and echo quality of the perception signal, thereby further improving the perception accuracy and resolution.

[0106] According to the sensing cycle, sensing range and sensing performance requirements, the beam scanning scheme of the sensing beam within the sensing cycle is determined. This intelligent beam scanning strategy can ensure that the target scene is fully and efficiently scanned within a limited time, improving the sensing efficiency and refresh rate. The sensing beam is configured according to the sensing waveform information and the beam scanning scheme. This flexible configuration method enables the perception system to be dynamically adjusted according to actual needs to adapt to the perception needs under different scenarios and conditions. At the same time, it also helps to optimize the allocation and utilization of perception resources and reduce the energy consumption and cost of the perception system.

[0107] In an exemplary embodiment, the target scene includes at least one perception area, and there is no overlap between the perception areas; the data frame includes a communication symbol and a perception symbol, and the perception symbol is used to describe the perception waveform information corresponding to each perception area.

[0108] It is understandable that the target scene is an object that the base station communicates and senses, and it includes at least one sensing area. These sensing areas may be specific geographical areas, spatial ranges, or sets of objects, and the base station needs to perform sensing tasks in these areas to obtain relevant information.

[0109] Furthermore, communication symbols are used to transmit communication content such as user data and control information. The number and proportion of communication symbols affect the communication performance and resource utilization of the system. Perception symbols are used to describe the perception waveform information corresponding to each perception area. Perception symbols contain key parameters of perception waveform information, such as frequency, amplitude, phase, etc., which are crucial for the base station to perform perception tasks.

[0110] Among them, the ratio between the number of communication symbols and the number of perception symbols is determined by the first intelligent model according to the scene type of the target scene, the communication performance requirements and perception performance requirements of the target scene, and the communication and perception resource allocation constraints of the base station in the target scene.

[0111] Specifically, the first intelligent model includes a first sub-model, and the ratio between the number of communication symbols and the number of perception symbols is determined by the first sub-model in the first intelligent model according to the scene type of the target scene, the communication performance requirements and the perception performance requirements of the target scene, and the communication and perception resource allocation constraints of the base station in the target scene.

[0112] It is understandable that the first sub-model needs to comprehensively consider the needs of communication and perception, as well as resource constraints, to find an optimal symbol ratio. This ratio should be able to balance the performance of communication and perception, ensuring that the system can efficiently transmit communication data and accurately perform perception tasks.

[0113] Among them, the communication and perception resource allocation constraints of the base station in the target scenario refer to a series of measures and methods to reasonably allocate and utilize various resources of the base station according to the communication needs and perception needs in a specific scenario to optimize communication performance, improve network efficiency, and meet user needs. These resources include but are not limited to spectrum resources, power resources, antenna resources, computing resources, etc. The resource allocation constraints of the base station in the target scenario involve multiple aspects such as spectrum resources, power resources, antenna resources, etc. The allocation of these resources directly affects the design of the data frame structure, specifically:

[0114] (1) The allocation of spectrum resources determines the frequency and bandwidth of data frame transmission. When spectrum resources are limited, the base station needs to design a more compact data frame structure to reduce transmission time and improve spectrum utilization. When communication demand is high, the base station can allocate more spectrum resources to communication symbols to increase the proportion of communication symbols in the data frame, thereby ensuring smooth communication.

[0115] (2) The allocation of power resources affects the transmission distance and reception quality of data. When the transmission distance is long or the channel conditions are poor, the base station needs to increase the transmission power to ensure reliable data transmission. At the same time, the base station can also reasonably allocate power resources to the sensing symbols according to the adjustment of sensing requirements to improve the accuracy and reliability of sensing.

[0116] (3) The allocation of antenna resources can affect the directionality and spatial multiplexing rate of data transmission. Through reasonable antenna design, the base station can achieve more accurate spatial positioning, thereby improving the accuracy of perception. In multiple antennas, the base station can optimize the allocation of antenna resources through technologies such as beamforming to achieve better transmission effects and perception performance.

[0117] Specifically, the base station should dynamically adjust the proportion of communication symbols and perception symbols in the data frame according to the real-time network status and user needs. The implementation of this strategy requires the base station to have an intelligent decision-making algorithm, which can be determined based on experience in historical scenarios.

[0118] Accordingly, the training samples of the first sub-model may include:

[0119] Scenario labels: clearly identify classification information of different scenario types, such as urban, rural, highway, traffic congested road sections, etc. These labels are used to train intelligent models to identify communication and perception needs in different scenarios.

[0120] Scenario characteristics: quantitative indicators that describe the characteristics of the scenario, such as vehicle density, driving speed, road conditions, weather conditions, etc. These characteristics help the intelligent model understand the specific impact of the scenario on communication and perception performance.

[0121] Communication volume demand: refers to the amount of information that needs to be exchanged between vehicles in a specific scenario, usually measured in data rate or number of data packets.

[0122] Communication quality requirements: such as bit error rate, delay time, etc., reflecting the reliability and real-time requirements of the communication system.

[0123] Perception range requirement: indicates the range of the surrounding environment that the vehicle needs to perceive in a specific scenario.

[0124] Perception accuracy requirements: such as object recognition accuracy, distance measurement accuracy, etc., reflecting the accuracy requirements of the perception system.

[0125] Spectrum resource limit: indicates the total amount of spectrum resources that can be used for communication and perception in a specific scenario.

[0126] Computing and storage resource limits: Indicates the amount of computing and storage resources that a base station or vehicle can use to process communication and perception tasks in a specific scenario.

[0127] Historical proportion records: The actual proportion of communication symbols and perception symbols in data frames in similar scenarios in the past. These data can be used as a reference for intelligent model learning.

[0128] Optimal ratio label: In a specific scenario, the optimal ratio of communication symbols to perception symbols obtained through practical verification or theoretical calculation. These labels are the learning targets of the intelligent model.

[0129] Furthermore, the perception waveform information corresponding to each perception area is determined by the first intelligent model according to the scene type of the target scene and the perception range corresponding to the perception area, as well as the waveform coverage capability of each candidate waveform.

[0130] Optionally, the first intelligent model includes a second sub-model, and the perception waveform information corresponding to each perception area is determined by the second sub-model in the first intelligent model according to the scene type of the target scene and the perception range corresponding to the perception area, as well as the waveform coverage capability of each candidate waveform.

[0131] It is understandable that different scene types (such as indoor, outdoor, urban, rural, etc.) have different requirements for perception waveform information. For example, indoor scenes may require waveforms to have better penetration and anti-interference, while outdoor scenes may pay more attention to the propagation distance and coverage of the waveform. Perception distance is one of the important factors in determining perception waveform information. Close-range perception may require waveforms to have higher resolution and accuracy, while long-range perception pays more attention to the propagation ability and anti-interference of the waveform. Different waveforms have different coverage capabilities, including propagation distance, penetration, anti-interference, etc. The second sub-model needs to analyze the characteristics of each candidate waveform and select the waveform that best suits the current perception task.

[0132] The second sub-model can use advanced technologies such as deep learning to achieve intelligent selection and configuration of perceived waveform information through a large amount of training data and algorithm optimization. The composition of the training samples should cover all possible scene types, perception distances, and candidate waveform combinations, and be annotated with corresponding perceived waveform information labels.

[0133] It may include the following parts:

[0134] Scene type label: indicates the classification information of different scene types, such as indoor, outdoor, urban, rural, etc.

[0135] Perception distance data: represents the specific values ​​or ranges of different perception distances.

[0136] Candidate waveform information: indicates the characteristic parameters of different candidate waveforms, such as frequency, amplitude, phase, coverage, etc. Perception waveform information label: indicates the optimal perception waveform information selection under a given scene type and perception distance.

[0137] Furthermore, the first intelligent model is also used to determine the time slot position of each perception symbol in the data frame.

[0138] Optionally, the first intelligent model also includes a third sub-model, and the third sub-model is also used to determine the time slot position of each perception symbol in the data frame.

[0139] It is understandable that the choice of time slot position is crucial to the performance and resource utilization of the system. Specifically: Affecting the coordination of communication and perception: The time slot position determines the order in which communication symbols and perception symbols are arranged in the data frame, which in turn affects the execution timing of communication and perception tasks. Unreasonable time slot arrangement may lead to conflicts between communication and perception, reducing the overall performance of the system. Affecting resource utilization: The choice of time slot position also determines how system resources are allocated. If the time slot arrangement is unreasonable, it may lead to waste or shortage of resources and reduce the resource utilization of the system.

[0140] The third sub-model needs to consider multiple factors when determining the time slot position of each perception symbol in the data frame. Specifically:

[0141] Timing requirements of communication and perception: The third sub-model needs to analyze the timing relationship between communication and perception tasks to ensure that they can be executed in the expected order and time interval. This helps avoid conflicts between communication and perception and improves the coordination and stability of the system.

[0142] Resource availability: The third sub-model also needs to consider the availability of system resources, including spectrum resources, computing resources, storage resources, etc. In the case of limited resources, the third sub-model needs to optimize time slot scheduling to maximize resource utilization.

[0143] Application of intelligent algorithms: The third sub-model may use intelligent algorithms such as deep learning and reinforcement learning to determine the time slot location. These algorithms can learn and optimize the time slot scheduling strategy based on historical data and real-time feedback to adapt to different application scenarios and needs.

[0144] Exemplarily, in an intelligent traffic scenario, the base station needs to meet the communication needs between vehicles and the road condition perception needs at the same time. The third sub-model can dynamically adjust the proportion of communication symbols and perception symbols in the data frame and the time slot position according to the real-time traffic conditions and demand changes. For example, in the case of traffic congestion, the communication demand increases because vehicles need to exchange information more frequently to coordinate driving. At this time, the third sub-model can increase the proportion of communication symbols in the data frame and optimize the time slot arrangement to ensure smooth communication. In the case of complex road conditions, the perception demand increases because vehicles need to perceive the surrounding environment more accurately to make correct driving decisions. At this time, the third sub-model can increase the proportion of perception symbols in the data frame and adjust the time slot position to improve the accuracy and reliability of perception.

[0145] In one embodiment, as shown in FIG2 , determining a beam scanning scheme of a sensing beam within a sensing period according to a sensing period, a sensing range, and a sensing performance includes:

[0146] S201, allocating a beam period to a sensing beam corresponding to each sensing area.

[0147] Each perception beam covers a different perception area. Therefore, in this embodiment, each perception area of ​​the target scene corresponds to a perception beam.

[0148] Exemplarily, if one of the perception areas is airspace or water outside the range of 500 meters, the full pulse wave is selected as the perception beam corresponding to the perception area; if the perception area is a ground area outside the range of 200 meters, the full continuous wave is selected as the perception beam corresponding to the perception area.

[0149] Optionally, for each perception area, evaluate which candidate waveforms can cover the area. This can be achieved by comparing the perception range of the beam and the range of the perception area. If the perception range of the beam completely or partially covers the perception area, the beam is considered a potential candidate. After determining the candidate waveforms that can cover each perception area, it is necessary to further select the optimal perception beam. This can be done based on a variety of criteria, such as beam strength, directionality, signal-to-noise ratio, energy consumption, etc. In some cases, it may be necessary to select multiple beams to provide redundant coverage or enhance perception effects.

[0150] Among them, each beam period is located within the sensing period, and adjacent beam periods do not overlap with each other.

[0151] It can be understood that the beam period refers to the time required for the beam to complete a full scan from transmission to reception.

[0152] For example, a sensing cycle is ; The types of sensing beams can include pulse waves and continuous waves. The pulse wave scanning period is , the scanning period of the continuous wave is ;

[0153] Among them, and and It can be determined according to the perception performance requirements of the corresponding perception beam in the target scene.

[0154] Exemplarily, the beam schemes formed by various sensing beams (Beam1, Beam2, Beam3, BeamN) in one frame structure may be as shown in beam scheme 1, beam scheme 2, beam scheme 3, and beam scheme 4 in FIG. 3 .

[0155] In one achievable manner, historical experience may be used to manually divide the sensing beams corresponding to each sensing area and allocate beam periods.

[0156] In another possible implementation, a beam period is allocated to a perception beam corresponding to each perception area, including: inputting scene information of the target scene, area information of each perception area, and beam information of the perception beam into a second intelligent model, and obtaining an output of the second intelligent model to allocate a beam period to the perception beam corresponding to each perception area.

[0157] The construction process of the second intelligent model is as follows: Collect and organize the scene information of the target scene, which may include the size, shape, obstacle distribution, environmental characteristics, etc. of the scene. Determine the regional information of each perception area, such as the location, size, shape of each area and their relative position relationship in the scene. Obtain the beam information of the perception beam, including the emission angle, coverage, power and other parameters of the beam.

[0158] Select or build a second intelligent model suitable for handling such problems. This model should be able to receive scene information, region information, and beam information as input, and output the beam period assigned to each perception area. Possible model choices include machine learning algorithms (such as decision trees, random forests, support vector machines, etc.) or deep learning algorithms (such as neural networks, convolutional neural networks, etc.).

[0159] If a model that needs to be trained is used, historical data or simulation data should be used to train the model. The training data should contain similar scene information, region information, and beam information, as well as the corresponding beam period allocation results. Through training, the model should be able to learn how to allocate reasonable beam periods to each perception area based on the input information.

[0160] The use process of the second intelligent model is as follows: input the prepared scene information, region information and beam information into the trained second intelligent model, and obtain output from the model, that is, the beam period allocated to the perception beam corresponding to each perception area.

[0161] Specifically, the second intelligent model first analyzes the characteristics of each sensing area, including the size, shape, complexity of the sensing range, and the expected sensing target, etc. These characteristics will affect the selection and allocation of beam periods, because different areas may require different scanning times and accuracies.

[0162] Based on the characteristics of the sensing area, the second intelligent model calculates and optimizes the beam period corresponding to each sensing area. The beam period should ensure that each area can be completely scanned once within the sensing period, while avoiding overlap and conflict between adjacent beam periods.

[0163] The second intelligent model will allocate corresponding sensing beams to each sensing area according to the optimized beam period. The characteristics of the beams, such as beam width, scanning angle, power, etc., will be considered during the allocation process to ensure that the beam can cover the entire sensing area and meet the requirements of sensing performance.

[0164] The second intelligent model also considers the resource constraints of the base station, such as spectrum resources, computing resources, storage resources, etc., to ensure that the allocation of beam periods and the use of sensing beams do not exceed the carrying capacity of the base station. By optimizing resource allocation, the overall performance and resource utilization of the system can be improved.

[0165] S202: For each sensing area, according to the sensing performance requirement and sensing range corresponding to the sensing area, determine a beam scanning scheme of a sensing beam used by the base station to perform a sensing function in the sensing area within a corresponding beam period.

[0166] Optionally, for any perception area, the beam scanning scheme of the perception beam adopted by the base station to perform the perception function within the perception area within the corresponding beam period may include: scanning mode selection, scanning path planning, and scanning parameter setting; wherein the scanning parameter setting may include scanning speed, scanning angle, beam width and number of scans, etc.

[0167] Among them, the beam scanning scheme meets the refresh rate.

[0168] It is understandable that the refresh rate refers to the speed at which the perception scans and updates the perception area. It determines how quickly changes in the perception area can be captured. In order to ensure that the beam scanning solution meets the refresh rate requirements, the base station needs to comprehensively adjust the scanning mode, scanning path, scanning parameters, etc. according to the characteristics of the perception area, perception performance requirements and resource conditions. For example, in scenarios that require a high refresh rate, you can choose a continuous scanning mode, optimize the scanning path to reduce scanning time, increase the scanning speed, or increase the number of scans.

[0169] In an exemplary embodiment, as shown in FIG4 , the sensing range includes a sensing distance range and a sensing angle range; determining a beam scanning scheme of a sensing beam used by a base station to perform a sensing function in the sensing area within a corresponding beam period according to the sensing performance requirement and the sensing range corresponding to the sensing area, including:

[0170] S401, determining a beam width parameter and a total number of beams corresponding to a perception area according to a perception distance range and a perception angle range of the perception area.

[0171] Specifically, the sensing angle range refers to the angular coverage of the geographical or spatial area that the base station needs to sense. The size of the sensing angle range will directly affect the selection of the beam width.

[0172] Beamwidth parameter: Beamwidth refers to the coverage angle of the beam in the horizontal or vertical direction. A wider beam can cover a larger angular range, but may reduce the perceived resolution; while a narrower beam can provide a higher perceived resolution, but the coverage angle range is limited.

[0173] Perception distance range: This refers to the distance coverage of the geographical or spatial area that the base station needs to perceive. The size of the perception distance range will directly affect the selection of the total number of beams.

[0174] Total number of beams: This refers to the number of beams that the base station needs to configure to cover the entire sensing area. The total number of beams is related to multiple factors such as sensing distance range, beam width parameters, and sensing performance requirements.

[0175] When determining the beamwidth parameter, the base station needs to weigh the requirements of the sensing angle range and the sensing resolution. If the sensing angle range is large, a wider beam may need to be selected to ensure full coverage; if the sensing performance requirements are high and a finer sensing resolution is required, a narrower beam may need to be selected.

[0176] In this embodiment, the total number of beams is determined based on the sensing distance range. , further, based on the total number of beams The beam width parameter is determined by the sensing angle range ;

[0177] For example, the total number of beams =Perception angle range / beam width parameter .

[0178] Optionally, assuming that a 360-degree full-range angle needs to be covered and the perception accuracy requirement is high, the beam width parameter is selected as 5 degrees. According to the above steps, the total number of beams required can be calculated as: total number of beams = 360 degrees / 5 degrees = 72.

[0179] S402, processing the beam width parameter and the total number of beams according to the sensing accuracy and the sensing resolution of the sensing area, and obtaining a beam scanning scheme of the sensing beam used by the base station to perform the sensing function for the sensing area within a corresponding beam period.

[0180] Among them, the beam scanning scheme meets the refresh rate.

[0181] It can be understood that for each perception beam, after determining the beam width parameter and the total number of beams of the perception beam, the beam width parameter and the total number of beams are processed according to the perception accuracy and perception resolution corresponding to the perception area. The purpose is to further divide the scanning granularity of the perception beam and obtain a beam scanning scheme that matches the perception accuracy.

[0182] Specifically, as shown in FIG5 , according to the sensing accuracy and the sensing resolution of the sensing area, the beam width parameter and the total number of beams are processed to obtain a beam scanning scheme of the sensing beam used by the base station to perform the sensing function for the sensing area within the corresponding beam period, including:

[0183] S501, dividing the beam period of the sensing beam corresponding to the sensing area according to the sensing accuracy and the sensing resolution corresponding to the sensing area to obtain a plurality of identical scanning periods.

[0184] Specifically, a division coefficient is determined according to the perception accuracy and the perception resolution corresponding to the perception area, and the number of scanning times of the beam in the scanning cycle is determined according to the division coefficient. , the duration of a single scan .

[0185] For example, the division coefficient is the speed measurement resolution in the perception resolution Take this as an example to illustrate:

[0186] Speed ​​measurement resolution When determining the scanning period, it is determined by the following formula (1):

[0187] (1)

[0188] in is the signal wavelength, is the scanning cycle, Also written as

[0189] is the number of beam scans within the scanning cycle, The scanning duration of a single scan.

[0190] S502: Determine the number of scans corresponding to each scanning cycle according to the total number of beams.

[0191] Specifically, the number of scans corresponding to each scan cycle =Total number of beams / ;

[0192] Among them, the number of scans corresponding to any scan cycle = ;

[0193] in, is the number of sensing beams in the scanning cycle, It is the scanning repetition number of the sensing beam in this scanning cycle.

[0194] As shown in the above example, the scanning period of the positioning sensing beam is On the basis of, if the sensing beam is a pulse wave, the scanning period corresponding to the sensing beam is recorded as ; If the sensing beam is a pulse wave, the scanning period corresponding to the sensing beam is recorded as ;

[0195] Correspondingly, the number of scans corresponding to any scan cycle is ;

[0196] Correspondingly, the number of scans corresponding to any scan cycle is .

[0197] S503: Determine, according to each scanning period and the number of scans corresponding to each scanning period, a beam scanning scheme for a sensing beam used by the base station to perform a sensing function within a sensing area within a corresponding beam period.

[0198] In an implementable manner, each scanning period and the number of scans corresponding to each scanning period may be directly determined as a beam scanning scheme corresponding to the sensing area.

[0199] In another possible implementation, each scanning period and the number of scans corresponding to each scanning period may be further refined to obtain a beam scanning scheme corresponding to the sensing area.

[0200] In an exemplary embodiment, as shown in FIG6 , determining, according to each scanning period and the number of scans corresponding to each scanning period, a beam scanning scheme of a sensing beam used by a base station to perform a sensing function in a sensing area within a corresponding beam period includes:

[0201] S601, for each scanning cycle, determining a plurality of identical frame cycles included in the scanning cycle, and determining the number of intra-frame scans and the scanning interval corresponding to each frame cycle according to the number of scans corresponding to the scanning cycle.

[0202] For example, a scan cycle Divided into multiple identical frame periods ; For each frame period , the number of scans within a frame is ,one The corresponding number of intra-frame scans is , the beam spacing is .

[0203] It can be understood that based on the second-level perception accuracy, the number of consecutive beam repetitions in one frame period is The more beams there are, the greater the single-direction beam gain is, the stronger the long-distance coverage capability is, and the more suitable it is for target tracking scenarios. Within a frame period, the higher the beam switching frequency is, the smaller the interval between different beams is, and the more suitable it is for low-speed scenarios.

[0204] For each frame period , the number of scans within a frame is ; accordingly,

[0205] S602: Determine the number of intra-frame scans and the scanning interval of the frame period corresponding to each scanning period to determine a beam scanning scheme in the corresponding beam period for the sensing beam used by the base station to perform a sensing function within the sensing area.

[0206] Furthermore, for the same scanning cycle, the number of intra-frame scanning times and the scanning interval of the frame cycle can form multiple schemes, as shown in FIG3 , for example:

[0207] Beam scheme 1: contains only one beam in one frame period, and the single beam is repeated times.

[0208] Beam Scheme 2: contains only 2 beams in one frame period, and the number of repetitions of a single beam is half of that of Scheme 1 , the two beams are scanned continuously in time sequence.

[0209] Beam scheme 3: contains beams in one frame period, and the single beam scanning time is the total time occupied by the sensing symbol / , The beams are scanned continuously in time sequence.

[0210] Beam scheme 4: It also contains beams in one frame period, but different beams are scanned at different intervals. After the beam 1 to beam scan is completed, the beam 1 to beam scan is started again.

[0211] In an exemplary embodiment, this embodiment provides a beam configuration method, including:

[0212] Taking the millimeter wave communication frame structure DDDSU as an example, under the condition of 120kHz subcarrier spacing, it corresponds to a 0.625ms period, that is, .

[0213] The refresh rate of the target scene does not exceed Taking the resource allocation constraint characterization of the base station in the target scenario that the proportion of perception resources in the total resources corresponding to the data frame does not exceed 35% as an example, it is obtained that 24 perception symbols can be set in one data frame (DDDSU) cycle.

[0214] According to the requirements of the actual application scenario for the sensing coverage range, if the sensing area is airspace or water outside the range of 500m, full pulse wave coverage can be selected. If the sensing area is the ground area outside the range of 200m, full continuous wave coverage can be selected. The specific positions of the 24 sensing symbols in the 70 symbols can be different D or S. The above options constitute an alternative set, which is matched according to the specific scenario through an intelligent algorithm.

[0215] Taking full pulse wave coverage as an example, consider the sensing angle range of ,use Further considering the speed resolution requirement, the duration of the perception signal is set . Set the entire coverage area to be divided into 60 sub-areas. Set the number of sensing beams in the scanning cycle and repeat in the coverage sub-area with the same sensing beam scanning scheme, setting the number of repetitions .

[0216] A scan cycle contains multiple communication frame cycles For each frame period , sensing beam repetitive scanning Second-rate;

[0217] For pulse waves ;

[0218] .

[0219] Furthermore, a frame period is designed For low-speed scenarios, design a sensing beam arrangement scheme within a frame period and set the number of sensing beam repetitions within a frame period. and sensing beam spacing .

[0220] 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.

[0221] Based on the same inventive concept, the embodiment of the present application also provides a beam configuration device for implementing the beam 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 the one or more beam configuration device embodiments provided below can refer to the limitations on the beam configuration method above, and will not be repeated here.

[0222] In an exemplary embodiment, as shown in FIG7 , a beam configuration device is provided, including an acquisition module 11, a beam configuration method module 12, a perception data acquisition module 13 and a data transmission module 14, wherein:

[0223] An acquisition module 11 is used to acquire a perception cycle, a perception range, and a perception performance requirement of a target scene; the perception performance requirement includes perception accuracy, perception resolution, and refresh rate;

[0224] The waveform determination module 12 is used to obtain the sensing waveform information required when the sensing beam emitted by the base station performs the sensing function in the target scene from the data frame used by the base station to perform the communication and sensing function in the target scene;

[0225] A scanning scheme determining module 13 is used to determine a beam scanning scheme of a sensing beam within a sensing period according to a sensing period, a sensing range and a sensing performance requirement;

[0226] The beam configuration module 14 is used to configure the sensing beam according to the sensing waveform information and the beam scanning scheme.

[0227] In one of the embodiments, the target scene includes at least one perception area; the data frame includes a communication symbol and a perception symbol, and the perception symbol is used to describe the perception waveform information corresponding to each perception area;

[0228] The ratio between the number of communication symbols and the number of perception symbols is determined by the first intelligent model according to the scene type of the target scene, the communication performance requirement and the perception performance requirement of the target scene, and the communication and perception resource allocation constraints of the base station in the target scene;

[0229] The perception waveform information corresponding to each perception area is determined by the first intelligent model according to the scene type of the target scene and the perception range corresponding to the perception area, as well as the waveform coverage capability of each candidate waveform;

[0230] The first intelligent model is also used to determine the time slot position of each perception symbol in the data frame.

[0231] In one embodiment, the scanning scheme determination module 13 is used to:

[0232] Allocating a beam period to a sensing beam corresponding to each sensing area; wherein each beam period is within a sensing period, and adjacent beam periods do not overlap each other;

[0233] For each sensing area, according to the sensing performance requirements and sensing range corresponding to the sensing area, a beam scanning scheme of the sensing beam used by the base station to perform the sensing function in the sensing area within the corresponding beam period is determined.

[0234] In one embodiment, the sensing range includes a sensing distance range and a sensing angle range; the scanning scheme determination module 13 is used to:

[0235] Determine the beam width parameter and the total number of beams corresponding to the sensing area according to the sensing distance range and the sensing angle range of the sensing area;

[0236] According to the sensing accuracy and sensing resolution of the sensing area, the beam width parameter and the total number of beams are processed to obtain a beam scanning scheme of the sensing beam used by the base station to perform the sensing function for the sensing area within the corresponding beam period;

[0237] Among them, the beam scanning scheme meets the refresh rate.

[0238] In one of the embodiments, a beam width parameter and a total number of beams are processed according to a sensing accuracy and a sensing resolution of a sensing area to obtain a beam scanning scheme of a sensing beam used by a base station to perform a sensing function for the sensing area within a corresponding beam period, including:

[0239] According to the sensing accuracy and the sensing resolution corresponding to the sensing area, the beam period of the sensing beam corresponding to the sensing area is divided to obtain a plurality of identical scanning periods;

[0240] According to the total number of beams, the number of scans corresponding to each scanning cycle is determined;

[0241] According to each scanning period and the number of scans corresponding to each scanning period, a beam scanning scheme of a sensing beam adopted by the base station to perform a sensing function within a sensing area within a corresponding beam period is determined.

[0242] In one embodiment, the scanning scheme determination module 13 is used to:

[0243] For each scanning cycle, a plurality of identical frame cycles included in the scanning cycle are determined, and according to the scanning times corresponding to the scanning cycle, the scanning times and scanning intervals within each frame cycle are determined;

[0244] The number of intra-frame scans and the scanning interval of the frame period corresponding to each scanning period are determined to determine a beam scanning scheme in the corresponding beam period for the sensing beam adopted by the base station to perform the sensing function in the sensing area.

[0245] In one embodiment, the perception angle range includes a horizontal viewing angle range and a vertical viewing angle range; the perception accuracy includes but is not limited to distance accuracy, speed accuracy, and angle accuracy; and the perception resolution includes distance resolution, speed resolution, or angle resolution.

[0246] In one embodiment, the scanning scheme determination module 13 is used to:

[0247] Allocate a beam period for the sensing beam corresponding to each sensing area, including:

[0248] The scene information of the target scene, the area information of each perception area and the beam information of the perception beam are input into the second intelligent model, and the second intelligent model outputs the perception beam allocation beam period corresponding to each perception area.

[0249] Each module in the above-mentioned beam configuration device can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above-mentioned modules 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 of the above modules.

[0250] In an exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be shown in FIG8. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected via a bus, and the communication interface is connected to the bus via 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 operations, computer programs and databases. The internal memory provides an environment for the operation of the operations and computer programs in the non-volatile storage medium. The database of the computer device is used to store data of the beam configuration method. 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 through a network connection. When the computer program is executed by the processor, a beam configuration method is implemented.

[0251] Those skilled in the art will understand that the structure shown in FIG. 8 is merely a block diagram of a partial 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 shown in the figure, or combine certain components, or have a different arrangement of components.

[0252] 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:

[0253] Obtain the perception cycle, perception range and perception performance requirements of the target scene; the perception performance requirements include perception accuracy, perception resolution and refresh rate;

[0254] Acquire, from the data frame used by the base station to perform communication and perception functions in the target scene, the perception waveform information required when the perception beam emitted by the base station performs the perception function in the target scene;

[0255] Determine a beam scanning scheme of the sensing beam within the sensing period according to the sensing period, sensing range and sensing performance requirements;

[0256] The sensing beam is configured according to the sensing waveform information and the beam scanning scheme.

[0257] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0258] Obtain the perception cycle, perception range and perception performance requirements of the target scene; the perception performance requirements include perception accuracy, perception resolution and refresh rate;

[0259] Acquire, from the data frame used by the base station to perform communication and perception functions in the target scene, the perception waveform information required when the perception beam emitted by the base station performs the perception function in the target scene;

[0260] Determine a beam scanning scheme of the sensing beam within the sensing period according to the sensing period, sensing range and sensing performance requirements;

[0261] The sensing beam is configured according to the sensing waveform information and the beam scanning scheme.

[0262] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0263] Obtain the perception cycle, perception range and perception performance requirements of the target scene; the perception performance requirements include perception accuracy, perception resolution and refresh rate;

[0264] Acquire, from the data frame used by the base station to perform communication and perception functions in the target scene, the perception waveform information required when the perception beam emitted by the base station performs the perception function in the target scene;

[0265] Determine a beam scanning scheme of the sensing beam within the sensing period according to the sensing period, sensing range and sensing performance requirements;

[0266] The sensing beam is configured according to the sensing waveform information and the beam scanning scheme.

[0267] 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 beam configuration method logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0268] 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.

[0269] 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 beam configuration method, characterized in that: Applied to a base station, the method comprises: Acquire the perception cycle, perception range and perception performance requirements of the target scene; the perception performance requirements include perception accuracy, perception resolution and refresh rate; Acquire, from a data frame used by the base station to perform communication and perception functions in the target scene, perception waveform information required when the perception beam emitted by the base station performs a perception function in the target scene; Determining a beam scanning scheme of the sensing beam within the sensing period according to the sensing period, the sensing range and the sensing performance requirement; The sensing beam is configured according to the sensing waveform information and the beam scanning scheme.

2. The method according to claim 1, characterized in that The target scene includes at least one perception area; the data frame includes a communication symbol and a perception symbol, and the perception symbol is used to describe the perception waveform information corresponding to each perception area; The ratio between the number of communication symbols and the number of perception symbols is determined by the first intelligent model according to the scene type of the target scene, the communication performance requirement of the target scene, the perception performance requirement, and the communication and perception resource allocation constraints of the base station in the target scene; The perception waveform information corresponding to each perception area is determined by the first intelligent model according to the scene type of the target scene and the perception range corresponding to the perception area, as well as the waveform coverage capability of each candidate waveform; The first intelligent model is also used to determine the time slot position of each perception symbol in the data frame.

3. The method according to claim 2, characterized in that The determining, according to the sensing period, the sensing range, and the sensing performance, a beam scanning scheme of the sensing beam within the sensing period includes: Allocating a beam period to a sensing beam corresponding to each sensing area; wherein each beam period is within the sensing period, and adjacent beam periods do not overlap each other; For each sensing area, according to the sensing performance requirement and sensing range corresponding to the sensing area, a beam scanning scheme of the sensing beam used by the base station to perform the sensing function in the sensing area within the corresponding beam period is determined.

4. The method according to claim 3, characterized in that: The sensing range includes a sensing distance range and a sensing angle range; and determining, according to the sensing performance requirement and the sensing range corresponding to the sensing area, a beam scanning scheme of a sensing beam used by the base station to perform a sensing function in the sensing area within a corresponding beam period, includes: Determine a beam width parameter and a total number of beams corresponding to the sensing area according to a sensing distance range and a sensing angle range of the sensing area; Processing the beam width parameter and the total number of beams according to the sensing accuracy and the sensing resolution of the sensing area to obtain a beam scanning scheme of the sensing beam used by the base station to perform a sensing function for the sensing area within a corresponding beam period; Wherein, the beam scanning scheme satisfies the refresh rate.

5. The method according to claim 4, characterized in that The processing of the beam width parameter and the total number of beams according to the sensing accuracy and the sensing resolution of the sensing area to obtain a beam scanning scheme of the sensing beam used by the base station to perform a sensing function for the sensing area within a corresponding beam period includes: According to the sensing accuracy and the sensing resolution corresponding to the sensing area, the beam period of the sensing beam corresponding to the sensing area is divided to obtain a plurality of identical scanning periods; Determining the number of scans corresponding to each scanning cycle according to the total number of beams; According to each scanning period and the number of scans corresponding to each scanning period, a beam scanning scheme of a sensing beam adopted by the base station to perform a sensing function in the sensing area within a corresponding beam period is determined.

6. The method according to claim 5, characterized in that The determining, according to each scanning period and the number of scans corresponding to each scanning period, a beam scanning scheme of a sensing beam used by the base station to perform a sensing function in the sensing area within a corresponding beam period includes: For each scanning cycle, a plurality of identical frame cycles included in the scanning cycle are determined, and according to the scanning times corresponding to the scanning cycle, the intra-frame scanning times and scanning intervals corresponding to each frame cycle are determined; The number of intra-frame scans and the scanning interval of the frame period corresponding to each scanning period are determined to determine a beam scanning scheme in a corresponding beam period for the sensing beam adopted by the base station to perform a sensing function within the sensing area.

7. The method according to claim 4, characterized in that The perception angle range includes a horizontal viewing angle range and a vertical viewing angle range; the perception accuracy includes but is not limited to distance accuracy, speed accuracy, and angle accuracy; the perception resolution includes distance resolution, speed resolution, or angle resolution.

8. The method according to claim 3, characterized in that The allocating a beam period to the sensing beam corresponding to each sensing area includes: The scene information of the target scene, the area information of each perception area and the beam information of the perception beam are input into the second intelligent model, and the second intelligent model outputs the perception beam allocation beam period corresponding to each perception area.

9. A beam configuration device, characterized in that: The device comprises: An acquisition module, used to acquire the perception cycle, perception range and perception performance requirements of the target scene; the perception performance requirements include perception accuracy, perception resolution and refresh rate; A waveform determination module, used to obtain, from a data frame used by the base station to perform communication and perception functions in the target scene, perception waveform information required when the perception beam emitted by the base station performs a perception function in the target scene; A scanning scheme determining module, used to determine a beam scanning scheme of the sensing beam within the sensing period according to the sensing period, the sensing range and the sensing performance requirement; A beam configuration module is used to configure the sensing beam according to the sensing waveform information and the beam scanning scheme.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

11. 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 8 are implemented.

12. 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 of any one of claims 1 to 8 are implemented.

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