Base station field of view angle adjustment method and device, electronic equipment and storage medium

Abstract

The application discloses a base station field of view angle adjustment method and device, electronic equipment and storage medium. Among them, the method comprises: determining the base station spacing and the base station height between the millimeter wave base stations in the low altitude sensing network; in the case that a drone device is detected in the sensing area of the millimeter wave base station, the height of the drone device is determined; according to the base station spacing, the base station height and the height of the drone device, the target field of view angle corresponding to the millimeter wave base station is determined, wherein the target field of view angle is the angle at which the signal strength of the antenna of the millimeter wave base station theoretically transmitting signals to the drone device is the largest; according to the main lobe scanning range corresponding to the antenna of the millimeter wave base station and the target field of view angle, the field of view angle range corresponding to the millimeter wave base station is determined and set. The application solves the technical problem of poor continuity and reliability of low altitude signal coverage caused by the fixed field of view angle of the millimeter wave base station in the related art.

Description

Technical Field

[0001] This application relates to the field of wireless communication technology, and more specifically, to a base station field of view adjustment method, apparatus, electronic device, and storage medium. Background Technology

[0002] With the development of technologies such as drones, low-altitude logistics, and autonomous driving, low-altitude sensing networks have become critical infrastructure. Millimeter waves, due to their high frequency and wide bandwidth, are an ideal choice for low-altitude sensing networks. However, millimeter wave signals are easily affected by obstacles and environmental factors during propagation, and the field of view (FOV) of millimeter wave base stations in related technologies remains constant, resulting in poor continuity and reliability of low-altitude signal coverage.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This application provides a base station field of view adjustment method, device, electronic device, and storage medium to at least solve the technical problem of poor continuity and reliability of low-altitude signal coverage caused by the fixed field of view of millimeter-wave base stations in related technologies.

[0005] According to one aspect of the embodiments of this application, a method for adjusting the field of view of a base station is provided, comprising: determining the distance between base stations and the height of base stations among millimeter-wave base stations in a low-altitude sensing network, wherein the low-altitude sensing network includes multiple millimeter-wave base stations with interconnected signal coverage areas; determining the drone height of a drone device when a drone device is detected within the sensing area of ​​a millimeter-wave base station; determining the target field of view of the millimeter-wave base station based on the distance between base stations, the height of the base stations, and the height of the drone device, wherein the target field of view is theoretically the angle at which the signal strength of the signal transmitted from the antenna of the millimeter-wave base station to the drone device is the greatest; and determining and setting the field of view range of the millimeter-wave base station based on the main lobe scanning range of the antenna of the millimeter-wave base station and the target field of view.

[0006] Optionally, determining the target field of view corresponding to the millimeter-wave base station based on the base station spacing, base station height, and UAV height includes: calculating the difference between the UAV height and the base station height to obtain a first parameter; determining a second parameter based on the base station spacing and a preset adjustment coefficient; and determining the target field of view using an inverse trigonometric function based on the first and second parameters.

[0007] Optionally, the main lobe scanning range includes: a 3dB width of the vertical beam; based on the main lobe scanning range corresponding to the antenna of the millimeter-wave base station and the target field of view, the field of view range corresponding to the millimeter-wave base station is determined and set, including: determining the 3dB width of the vertical beam corresponding to the antenna of the millimeter-wave base station; and determining the field of view range as the angle range offset vertically and vertically by 3dB width with the target field of view as the center, wherein the upper limit of the angle of the field of view range is equal to the sum of the target field of view and the 3dB width of the vertical beam, and the lower limit of the angle of the field of view range is equal to the difference between the target field of view and the 3dB width of the vertical beam.

[0008] Optionally, the method further includes: when multiple drone devices are detected within the sensing area of ​​the millimeter-wave base station, determining the drone height corresponding to each drone device, and determining the field of view range corresponding to each drone device based on the drone height; determining and setting the target field of view range corresponding to the millimeter-wave base station based on the field of view range corresponding to each drone device, wherein the field of view range corresponding to each drone device is included within the target field of view range.

[0009] Optionally, the method further includes: when no drone device is detected within the sensing area of ​​the millimeter-wave base station, determining the target field of view corresponding to the millimeter-wave base station based on a preset default drone altitude, and determining and setting the field of view range corresponding to the millimeter-wave base station based on the target field of view.

[0010] Optionally, the method further includes: acquiring the movement trajectory data of the unmanned aerial vehicle (UAV), wherein the movement trajectory data is used to characterize the position and altitude of the UAV at each moment; using a prediction model, based on the movement trajectory data, determining the position and altitude of the UAV at the next moment; determining and setting the field of view range of the millimeter-wave base station at the next moment based on the predicted position and altitude, and using the prediction model to correct the field of view range.

[0011] Optionally, the prediction model is trained on a training dataset, which includes multiple historical movement trajectory data of multiple UAV devices, as well as the field of view range of the millimeter-wave base station and the signal quality parameters corresponding to the field of view range for each historical moment in each historical movement trajectory data. The signal quality parameters are used to characterize the quality of communication between the millimeter-wave base station and the UAV device at the historical moment when the field of view range is set.

[0012] According to another aspect of the embodiments of this application, a base station field of view adjustment device is also provided, comprising: a base station parameter determination module, used to determine the base station spacing and base station height between millimeter-wave base stations in a low-altitude sensing network, wherein the low-altitude sensing network includes multiple millimeter-wave base stations with interconnected signal coverage areas; a drone parameter determination module, used to determine the drone height of a drone device when a drone device is detected within the sensing area of ​​a millimeter-wave base station; a target field of view determination module, used to determine the target field of view corresponding to the millimeter-wave base station based on the base station spacing, base station height, and drone height, wherein the target field of view is theoretically the angle at which the signal strength of the signal transmitted by the antenna of the millimeter-wave base station to the drone device is the greatest; and a field of view range setting module, used to determine and set the field of view range corresponding to the millimeter-wave base station based on the main lobe scanning range corresponding to the antenna of the millimeter-wave base station and the target field of view.

[0013] According to another aspect of the embodiments of this application, an electronic device is also provided, including: a memory and a processor, the processor being configured to run a program stored in the memory, wherein the program executes a base station field of view adjustment method during runtime.

[0014] According to another aspect of the embodiments of this application, a non-volatile storage medium is also provided, the non-volatile storage medium including a stored computer program, wherein the device where the non-volatile storage medium is located executes a base station field of view adjustment method by running the computer program.

[0015] According to another aspect of the embodiments of this application, a computer program product is also provided, including a computer program that, when executed by a processor, implements the steps of a base station field of view adjustment method.

[0016] In this embodiment, the spacing and height of millimeter-wave base stations in a low-altitude sensing network are determined. The low-altitude sensing network includes multiple millimeter-wave base stations with interconnected signal coverage areas. When a drone is detected within the sensing area of ​​a millimeter-wave base station, the drone's altitude is determined. Based on the spacing, height, and altitude of the base stations, the target field of view (FOV) of the millimeter-wave base station is determined. The target FOV is theoretically the angle at which the signal strength transmitted from the millimeter-wave base station's antenna to the drone is maximized. The FOV range of the millimeter-wave base station is determined and set based on the main lobe scanning range of the base station's antenna and the target FOV. By dynamically adjusting the FOV of the millimeter-wave base station according to its altitude and location, combined with the altitude of the drone sensed within the area, the continuity of air coverage is ensured, signal interference between base stations is reduced, and the overall communication performance of the network is improved. This solves the technical problem of poor continuity and reliability of low-altitude signal coverage caused by the fixed FOV of millimeter-wave base stations in related technologies. Attached Figure Description

[0017] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0018] Figure 1 This is a hardware structure block diagram of a computer terminal (or electronic device) for implementing a method for adjusting the field of view of a base station, according to an embodiment of this application.

[0019] Figure 2 This is a schematic diagram of a method for adjusting the field of view of a base station according to an embodiment of this application;

[0020] Figure 3 This is a schematic diagram illustrating the principle of field of view calculation according to an embodiment of this application;

[0021] Figure 4 This is a schematic diagram of a base station field of view adjustment device provided according to an embodiment of this application. Detailed Implementation

[0022] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0023] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0024] To facilitate a better understanding of the embodiments of this application by those skilled in the art, some technical terms or nouns involved in the embodiments of this application are explained as follows:

[0025] Field of View (FOV): This refers to the angular range that a sensor or antenna can cover. For millimeter-wave communication systems, the FOV represents the spatial range in which the antenna can effectively transmit or receive signals. In wireless communication, especially millimeter-wave communication, the size of the FOV directly affects key performance indicators such as signal coverage, signal strength, and interference level.

[0026] In low-altitude communication environments, the simultaneous operation of multiple communication nodes (such as drones and base stations) can easily lead to signal interference, and millimeter-wave signals are susceptible to the effects of obstacles and environmental factors during propagation. Furthermore, in related technologies, the field of view (FOV) of millimeter-wave base stations remains fixed, resulting in poor continuity and reliability of low-altitude signal coverage.

[0027] To address the aforementioned issues, this application provides relevant solutions, which are detailed below.

[0028] According to an embodiment of this application, a method embodiment for adjusting the field of view of a base station is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0029] The methods and embodiments provided in this application can be executed on mobile terminals, computer terminals, or similar computing devices. Figure 1 A hardware structure block diagram of a computer terminal (or electronic device) for implementing a base station field-of-view adjustment method is shown. Figure 1As shown, the computer terminal 10 (or electronic device) may include one or more processors 102 (shown as 102a, 102b, ..., 102n in the figure) 102 (processor 102 may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.), a memory 104 for storing data, and a transmission device 106 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of a BUS bus), a network interface, a power supply, and / or a camera. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the aforementioned electronic device. For example, computer terminal 10 may also include... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0030] It should be noted that the aforementioned one or more processors 102 and / or other data processing circuits are generally referred to herein as "data processing circuits". These data processing circuits may be embodied, in whole or in part, in software, hardware, firmware, or any other combination thereof. Furthermore, the data processing circuits may be a single, independent processing module, or may be integrated, in whole or in part, into any other element within the computer terminal 10 (or electronic device). As involved in the embodiments of this application, the data processing circuits serve as a processor control mechanism (e.g., selection of a variable resistor termination path connected to an interface).

[0031] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the base station field of view adjustment method in this embodiment. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, thereby realizing the aforementioned base station field of view adjustment method. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the computer terminal 10 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0032] The transmission device 106 is used to receive or send data via a network. Specific examples of the network described above may include a wireless network provided by the communication provider of the computer terminal 10. In one example, the transmission device 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 106 may be a Radio Frequency (RF) module, used for wireless communication with the Internet.

[0033] The display may be, for example, a touchscreen liquid crystal display (LCD) that allows the user to interact with the user interface of the computer terminal 10 (or electronic device).

[0034] Under the above operating environment, this application embodiment provides a base station field of view adjustment method. Figure 2 This is a schematic diagram of a method for adjusting the field of view of a base station according to an embodiment of this application, as shown below. Figure 2 As shown, the method includes the following steps:

[0035] Step S202: Determine the base station spacing and base station height between millimeter-wave base stations in the low-altitude sensing network, wherein the low-altitude sensing network includes multiple millimeter-wave base stations with interconnected signal coverage areas.

[0036] Step S204: If the drone device is detected within the sensing area of ​​the millimeter-wave base station, determine the drone altitude of the drone device;

[0037] Step S206: Based on the distance between base stations, the height of the base stations, and the height of the UAV, determine the target field of view corresponding to the millimeter-wave base station. The target field of view is theoretically the angle at which the signal strength of the signal transmitted from the antenna of the millimeter-wave base station to the UAV is the greatest.

[0038] Step S208: Determine and set the field of view range corresponding to the millimeter-wave base station based on the main lobe scanning range of the antenna and the target field of view.

[0039] Through the above steps, by dynamically adjusting the field of view (FOV) of the millimeter-wave base station based on information such as its altitude and location, combined with the altitude of the drones sensed in the area, the continuity of aerial coverage is ensured, signal interference between base stations is reduced, and the overall communication performance of the network is improved. This solves the technical problem of poor continuity and reliability of low-altitude signal coverage caused by the fixed field of view of millimeter-wave base stations in related technologies.

[0040] The method for adjusting the field of view of the base station in steps S202 to S208 of the embodiments of this application will be further described below.

[0041] First, it is necessary to confirm the inter-base station spacing (ISD) and base station height (h) corresponding to the millimeter-wave base stations in the low-altitude sensing network. In this embodiment, multiple millimeter-wave base stations can be deployed in the low-altitude sensing network according to the required coverage height (e.g., 300 meters) to ensure seamless connection of signal coverage areas between base stations. Using high-gain directional antennas ensures wireless coverage in terms of signal propagation distance and coverage area at low altitudes.

[0042] When a drone is detected within the sensing area of ​​a millimeter-wave base station, the altitude of the detected drone is determined to be H. Then, the optimal field of view (FoV) of the millimeter-wave antenna (i.e., the target field of view) can be determined based on the base station spacing ISD, the base station height h, and the drone altitude H. The specific steps are as follows.

[0043] In some embodiments of this application, determining the target field of view corresponding to a millimeter-wave base station based on the base station spacing, base station height, and UAV height includes the following steps: calculating the difference between the UAV height and the base station height to obtain a first parameter; determining a second parameter based on the base station spacing and a preset adjustment coefficient; and determining the target field of view using an inverse trigonometric function based on the first and second parameters.

[0044] Specifically, the principle of field of view calculation is as follows: Figure 3 As shown, the formula for calculating the optimal field of view (FoV) is as follows: Wherein, Hh is the first parameter mentioned above. The second parameter mentioned above, taking an ISD of 1km, a UAV altitude of H of 300m, and a base station altitude of h of 30m as an example, calculates the optimal field of view (FoV) for airborne targets to be 40°.

[0045] After determining the target field of view (optimal field of view), the field of view (FOV) range corresponding to the millimeter-wave base station can be determined and set based on the main lobe scanning range of the antenna of the millimeter-wave base station. The specific steps are as follows.

[0046] In some embodiments of this application, the main lobe scanning range includes: a vertical beam width of 3dB; determining and setting the field of view range corresponding to the millimeter-wave base station based on the main lobe scanning range corresponding to the antenna of the millimeter-wave base station and the target field of view includes the following steps: determining the vertical beam width of the antenna of the millimeter-wave base station of 3dB; determining the angle range offset vertically and vertically by 3dB from the target field of view as the center as the field of view range, wherein the upper limit of the angle of the field of view range is equal to the sum of the target field of view and the vertical beam width of 3dB, and the lower limit of the angle of the field of view range is equal to the difference between the target field of view and the vertical beam width of 3dB.

[0047] Specifically, an antenna device with an adjustable field of view can be used. Considering the main lobe scanning range, the antenna's air-to-ground angle range can be calculated and adjusted. For example, if the vertical beam width is 3dB and the range is Δ, then the calculated field of view range (FOV Range) of the millimeter-wave antenna is (FOV-Δ, FOV+Δ) to ensure a uniform distribution of signal strength within the coverage area.

[0048] When sensing changes in drone altitude, the above steps can be repeated based on real-time data to dynamically adjust the field of view and ensure continuous signal coverage. In addition, when multiple drones at different altitudes are detected, i.e., when multiple drone devices are detected within the sensing area of ​​the millimeter-wave base station, the field of view range at each altitude can be calculated separately, and the maximum range can be taken as the field of view setting of the base station to achieve signal coverage for all drones. The specific steps are as follows.

[0049] In some embodiments of this application, the method further includes the following steps: when multiple drone devices are detected within the sensing area of ​​the millimeter-wave base station, determine the drone height corresponding to each drone device, and determine the field of view range corresponding to each drone device based on the drone height; determine and set the target field of view range corresponding to the millimeter-wave base station based on the field of view range corresponding to each drone device, wherein the field of view range corresponding to each drone device is included within the target field of view range.

[0050] Specifically, when the millimeter-wave integrated sensing base station senses multiple drones and different altitudes h1, h2, h3, ..., it substitutes the above-mentioned calculation formulas for the optimal field of view (FoV) and field of view range to obtain multiple field of view ranges such as FoV Range1, FoV Range2, FoV Range3, ..., performs a union operation on the multiple field of view ranges, and takes the largest range of millimeter-wave base station FoV angle (i.e., the above-mentioned target field of view range) for setting.

[0051] In addition, when there are no drones in the sensing area, since the drone altitude h cannot be obtained, the FoV Range can be calculated from the base station's default sensing altitude (i.e., the default drone altitude). The specific steps are as follows.

[0052] In some embodiments of this application, the method further includes the following steps: when no drone device is detected within the sensing area of ​​the millimeter-wave base station, the target field of view corresponding to the millimeter-wave base station is determined based on a preset default drone altitude, and the field of view range corresponding to the millimeter-wave base station is determined and set based on the target field of view.

[0053] Taking ISD = 1km, low-altitude default altitude H = 300m, and station height h = 30m as an example, the air-to-ground FoV is calculated to be 40°. In this embodiment, when there are no drones within the sensing area, the field of view is calculated using the base station's default sensing altitude, ensuring reasonable signal coverage even in the absence of drones.

[0054] In addition, to further improve signal coverage, AI technology can be used for dynamic field-of-view optimization. By analyzing historical data, AI can predict the drone's movement path and altitude, dynamically adjust the field of view, reduce interference, and improve communication performance. Simultaneously, the base station continuously optimizes its field-of-view setting strategy through AI self-learning. The specific steps are as follows.

[0055] In some embodiments of this application, the method further includes the following steps: acquiring the movement trajectory data of the unmanned aerial vehicle (UAV) device, wherein the movement trajectory data is used to characterize the position and altitude of the UAV device at each time moment; using a prediction model, based on the movement trajectory data, determining the position and altitude of the UAV device at the next time moment; based on the predicted position and altitude of the UAV device, determining and setting the field of view range of the millimeter-wave base station at the next time moment, and using the prediction model to correct the field of view range.

[0056] In this embodiment, the prediction model is trained based on a training dataset, which includes multiple historical movement trajectory data of multiple UAV devices, as well as the field of view range of the millimeter-wave base station corresponding to each historical moment in each historical movement trajectory data and the signal quality parameters corresponding to the field of view range. The signal quality parameters are used to characterize the quality of communication between the millimeter-wave base station and the UAV device at the historical moment when the field of view range is set.

[0057] Specifically, base stations can collect real-time data on the location, altitude, and movement trajectory of drones. Using AI algorithms combined with historical data, they analyze the existing real-time data to predict the drone's possible movement path and altitude. Based on the AI ​​prediction results, the base station's field of view is dynamically adjusted, and antenna pointing is optimized in advance, improving response speed and signal coverage efficiency. Furthermore, AI technology can be used to monitor signal interference between base stations, dynamically adjusting the field of view and transmission power to reduce interference and improve communication performance. Simultaneously, through self-learning via AI algorithms, base stations can continuously optimize their field of view setting strategies, improving the overall communication performance and stability of the network.

[0058] In this embodiment, a millimeter-wave integrated sensing base station can first be used to continuously scan and track the drone to acquire its flight data. The collected data is preprocessed by sensing network elements, including noise reduction, filtering, and feature extraction, to improve data quality and usability for drone identification. Subsequently, the intelligent processing network elements of the base station core network train an AI algorithm using a large amount of drone flight data, enabling it to accurately identify the drone's flight patterns and characteristics. Through optimization of algorithm parameters and model structure, the accuracy and real-time performance of drone predictions are improved. The trained model is then deployed in the base station.

[0059] When a millimeter-wave base station detects and acquires drone flight data, it uses a trained AI algorithm to predict the drone's trajectory and updates the prediction results in real time. Based on the discrepancy between the drone's actual flight data and the predicted results, the algorithm parameters and prediction model are dynamically adjusted to improve prediction accuracy and robustness. Furthermore, multi-base station collaboration can enable data sharing and coordinated operation between multiple base stations for sensing and prediction, improving the accuracy of drone prediction in a networked environment. Finally, the predicted drone trajectory can be used for advance tracking and adjustment of the base station's field of view (FOV). For example, by predicting changes in drone altitude in advance, the FOV of the millimeter-wave base station can be dynamically adjusted to ensure the drone remains within the main lobe coverage area, guaranteeing communication and sensing capabilities for the drone.

[0060] This application's embodiments determine the field of view (FOV) of the millimeter-wave base station based on the base station itself and the altitude and number of drones within the area. Considering the base station's inherent AI capabilities, historical drone data is used to predict drone trajectories, allowing for pre-optimization of the millimeter-wave base station's FOV. By constraining the FOV, the signal can be concentrated in a specific area, reducing interference between adjacent nodes and improving communication quality. Simultaneously, signal energy can be concentrated, enhancing signal strength and reducing signal attenuation and instability, thereby improving communication reliability. This achieves improved communication and sensing performance while reducing interference, enhancing the sensing accuracy of millimeter-wave base stations in the air. Furthermore, by rationally controlling the FOV, the antenna's radiated energy distribution can be optimized, reducing unnecessary energy waste, lowering the energy consumption of the millimeter-wave base station, and improving system energy efficiency.

[0061] According to an embodiment of this application, an embodiment of a base station field of view adjustment device is also provided. Figure 4 This is a schematic diagram of a base station field-of-view adjustment device according to an embodiment of this application. Figure 4 As shown, the device includes:

[0062] The base station parameter determination module 40 is used to determine the base station spacing and base station height between millimeter-wave base stations in the low-altitude sensing network, wherein the low-altitude sensing network includes multiple millimeter-wave base stations with interconnected signal coverage areas.

[0063] The drone parameter determination module 42 is used to determine the drone altitude of the drone device when the drone device is detected within the sensing area of ​​the millimeter-wave base station.

[0064] The target field of view determination module 44 is used to determine the target field of view corresponding to the millimeter-wave base station based on the base station spacing, base station height, and UAV height. The target field of view is theoretically the angle at which the signal strength of the signal transmitted from the antenna of the millimeter-wave base station to the UAV device is the greatest.

[0065] The field of view range setting module 46 is used to determine and set the field of view range corresponding to the millimeter-wave base station based on the main lobe scanning range of the antenna of the millimeter-wave base station and the target field of view.

[0066] Optionally, determining the target field of view corresponding to the millimeter-wave base station based on the base station spacing, base station height, and UAV height includes: calculating the difference between the UAV height and the base station height to obtain a first parameter; determining a second parameter based on the base station spacing and a preset adjustment coefficient; and determining the target field of view using an inverse trigonometric function based on the first and second parameters.

[0067] Optionally, the main lobe scanning range includes: a 3dB width of the vertical beam; based on the main lobe scanning range corresponding to the antenna of the millimeter-wave base station and the target field of view, the field of view range corresponding to the millimeter-wave base station is determined and set, including: determining the 3dB width of the vertical beam corresponding to the antenna of the millimeter-wave base station; and determining the field of view range as the angle range offset vertically and vertically by 3dB width with the target field of view as the center, wherein the upper limit of the angle of the field of view range is equal to the sum of the target field of view and the 3dB width of the vertical beam, and the lower limit of the angle of the field of view range is equal to the difference between the target field of view and the 3dB width of the vertical beam.

[0068] Optionally, the base station field of view adjustment device is also used to: determine the drone height corresponding to each drone device when multiple drone devices are detected in the sensing area of ​​the millimeter-wave base station, and determine the field of view range corresponding to each drone device based on the drone height; determine and set the target field of view range corresponding to the millimeter-wave base station based on the field of view range corresponding to each drone device, wherein the field of view range corresponding to each drone device is included in the target field of view range.

[0069] Optionally, the base station field of view adjustment device is also used to: determine the target field of view corresponding to the millimeter-wave base station based on the preset default drone altitude when no drone equipment is detected within the sensing area of ​​the millimeter-wave base station, and determine and set the field of view range corresponding to the millimeter-wave base station based on the target field of view.

[0070] Optionally, the base station field of view adjustment device is also used to: acquire the movement trajectory data of the UAV device, wherein the movement trajectory data is used to characterize the position and altitude of the UAV device at each moment; use a prediction model to determine the position and altitude of the UAV device at the next moment based on the movement trajectory data; determine and set the field of view range of the millimeter wave base station at the next moment based on the predicted position and altitude, and use the prediction model to correct the field of view range.

[0071] Optionally, the prediction model is trained on a training dataset, which includes multiple historical movement trajectory data of multiple UAV devices, as well as the field of view range of the millimeter-wave base station and the signal quality parameters corresponding to the field of view range for each historical moment in each historical movement trajectory data. The signal quality parameters are used to characterize the quality of communication between the millimeter-wave base station and the UAV device at the historical moment when the field of view range is set.

[0072] It should be noted that each module in the above-mentioned base station field of view adjustment device can be a program module (for example, a set of program instructions to implement a certain function) or a hardware module. For the latter, it can be manifested in the following forms, but is not limited to them: each of the above modules is manifested as a processor, or the functions of each of the above modules are implemented by a processor.

[0073] It should be noted that the base station field of view adjustment device provided in this embodiment can be used to perform... Figure 2 The base station field of view adjustment method shown above is also applicable to the embodiments of this application, and will not be repeated here.

[0074] This application embodiment also provides a non-volatile storage medium, which includes a stored computer program. The device containing the non-volatile storage medium executes the following base station field-of-view adjustment method by running the computer program: determining the base station spacing and base station height between millimeter-wave base stations in a low-altitude sensing network, wherein the low-altitude sensing network includes multiple millimeter-wave base stations with interconnected signal coverage areas; determining the drone altitude of the drone device when a drone device is detected within the sensing area of ​​the millimeter-wave base station; determining the target field-of-view angle corresponding to the millimeter-wave base station based on the base station spacing, base station height, and drone altitude, wherein the target field-of-view angle is theoretically the angle at which the signal strength of the signal transmitted from the antenna of the millimeter-wave base station to the drone device is greatest; and determining and setting the field-of-view angle range corresponding to the millimeter-wave base station based on the main lobe scanning range of the antenna of the millimeter-wave base station and the target field-of-view angle.

[0075] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the base station field of view adjustment method described in various embodiments of this application: determining the base station spacing and base station height between millimeter-wave base stations in a low-altitude sensing network, wherein the low-altitude sensing network includes multiple millimeter-wave base stations with interconnected signal coverage areas; determining the drone height of the drone device when a drone device is detected within the sensing area of ​​the millimeter-wave base station; determining the target field of view corresponding to the millimeter-wave base station based on the base station spacing, base station height, and drone height, wherein the target field of view is theoretically the angle at which the signal strength of the signal transmitted from the antenna of the millimeter-wave base station to the drone device is the greatest; and determining and setting the field of view range corresponding to the millimeter-wave base station based on the main lobe scanning range of the antenna of the millimeter-wave base station and the target field of view.

[0076] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0077] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0078] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0079] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0080] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0081] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard drive, magnetic disk, or optical disk.

[0082] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for adjusting the field of view of a base station, characterized in that, include: Determine the base station spacing and base station height between millimeter-wave base stations in a low-altitude sensing network, wherein the low-altitude sensing network includes multiple millimeter-wave base stations whose signal coverage areas are interconnected; If a drone device is detected within the sensing area of ​​the millimeter-wave base station, the drone altitude of the drone device is determined. Based on the distance between base stations, the height of the base stations, and the height of the UAV, the target field of view angle corresponding to the millimeter-wave base station is determined, wherein the target field of view angle is theoretically the angle at which the signal strength of the signal transmitted by the antenna of the millimeter-wave base station to the UAV device is the greatest; Based on the main lobe scanning range of the antenna of the millimeter-wave base station and the target field of view, the field of view range corresponding to the millimeter-wave base station is determined and set. The method further includes: acquiring the movement trajectory data of the drone device, wherein the movement trajectory data is used to characterize the position and altitude of the drone device at each time moment; using a prediction model, determining the position and altitude of the drone device at the next time moment based on the movement trajectory data; determining and setting the field of view range of the millimeter-wave base station at the next time moment based on the predicted position and altitude, and correcting the field of view range using the prediction model, wherein the prediction model is trained based on a training dataset, wherein the training dataset contains multiple historical movement trajectory data of multiple drone devices, and the field of view range of the millimeter-wave base station at each historical time moment in each historical movement trajectory data and the signal quality parameters corresponding to the field of view range, wherein the signal quality parameters are used to characterize the quality of communication between the millimeter-wave base station and the drone device at the historical time moment under the set field of view range.

2. The base station field of view adjustment method according to claim 1, characterized in that, Based on the distance between base stations, the height of the base stations, and the altitude of the UAV, the target field of view corresponding to the millimeter-wave base station is determined as follows: The difference between the drone's altitude and the base station's altitude is calculated to obtain the first parameter; The second parameter is determined based on the base station spacing and the preset adjustment coefficient; The target field of view angle is determined by using inverse trigonometric functions based on the first parameter and the second parameter.

3. The base station field of view adjustment method according to claim 2, characterized in that, The main lobe scanning range includes: a vertical plane beamwidth of 3 dB; the field of view range corresponding to the millimeter-wave base station is determined and set based on the main lobe scanning range of the antenna of the millimeter-wave base station and the target field of view, including: Determine the 3dB width of the vertical beam corresponding to the antenna of the millimeter-wave base station; The field of view range is defined as the range of angles offset vertically and vertically by 3 dB from the target field of view angle as the center. The upper limit of the field of view range is equal to the sum of the target field of view angle and the 3 dB width of the vertical beam, and the lower limit of the field of view range is equal to the difference between the target field of view angle and the 3 dB width of the vertical beam.

4. The base station field of view adjustment method according to claim 1, characterized in that, The method further includes: When multiple drone devices are detected within the sensing area of ​​the millimeter-wave base station, the drone altitude corresponding to each drone device is determined, and the field of view range corresponding to each drone device is determined based on the drone altitude; Based on the field of view range corresponding to each of the UAV devices, the target field of view range corresponding to the millimeter-wave base station is determined and set, wherein the field of view range corresponding to each of the UAV devices is included within the target field of view range.

5. The base station field of view adjustment method according to claim 4, characterized in that, The method further includes: If no drone device is detected within the sensing area of ​​the millimeter-wave base station, the target field of view corresponding to the millimeter-wave base station is determined based on the preset default drone altitude, and the field of view range corresponding to the millimeter-wave base station is determined and set based on the target field of view.

6. A base station field-of-view adjustment device, characterized in that, include: The base station parameter determination module is used to determine the base station spacing and base station height between millimeter-wave base stations in the low-altitude sensing network, wherein the low-altitude sensing network includes multiple millimeter-wave base stations with interconnected signal coverage areas. The drone parameter determination module is used to determine the drone altitude of the drone device when the drone device is detected within the sensing area of ​​the millimeter-wave base station. The target field of view determination module is used to determine the target field of view corresponding to the millimeter-wave base station based on the base station spacing, the base station height, and the drone height. The target field of view is theoretically the angle at which the signal strength of the signal transmitted from the antenna of the millimeter-wave base station to the drone is the greatest. The field of view setting module is used to determine and set the field of view range corresponding to the millimeter-wave base station based on the main lobe scanning range corresponding to the antenna of the millimeter-wave base station and the target field of view. The field-of-view setting module is further configured to acquire the movement trajectory data of the UAV device, wherein the movement trajectory data is used to characterize the position and altitude of the UAV device at each moment; using a prediction model, based on the movement trajectory data, determine the position and altitude of the UAV device at the next moment; based on the predicted position and altitude, determine and set the field-of-view range of the millimeter-wave base station at the next moment, and use the prediction model to correct the field-of-view range, wherein the prediction model is trained on a training dataset, wherein the training dataset contains multiple historical movement trajectory data of multiple UAV devices, and the field-of-view range of the millimeter-wave base station at each historical moment in each historical movement trajectory data and the signal quality parameters corresponding to the field-of-view range, wherein the signal quality parameters are used to characterize the quality of communication between the millimeter-wave base station and the UAV device at the historical moment when the field-of-view range is set.

7. An electronic device, characterized in that, include: A memory and a processor, the processor being configured to run a program stored in the memory, wherein the program, when running, executes the base station field of view adjustment method according to any one of claims 1 to 5.

8. A non-volatile storage medium, characterized in that, The non-volatile storage medium includes a stored computer program, wherein the device containing the non-volatile storage medium executes the base station field of view adjustment method according to any one of claims 1 to 5 by running the computer program.

9. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the base station field of view adjustment method according to any one of claims 1 to 5.

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