Base station field angle adjusting method and device, electronic equipment and storage medium

Abstract

The invention discloses a base station field angle adjusting method and device, electronic equipment and a storage medium. The method comprises the following steps: determining a base station distance and a base station height between millimeter wave base stations in a low-altitude sensing network; under the condition that the unmanned aerial vehicle equipment is detected in the sensing area of the millimeter wave base station, determining the unmanned aerial vehicle height of the unmanned aerial vehicle equipment; according to the base station distance, the base station height and the unmanned aerial vehicle height, a target field angle corresponding to the millimeter wave base station is determined, and the target field angle is theoretically the angle with the maximum signal intensity of a signal transmitted by an antenna of the millimeter wave base station to the unmanned aerial vehicle equipment; and determining and setting a field angle range corresponding to the millimeter wave base station according to the main lobe scanning range corresponding to the antenna of the millimeter wave base station and the target field angle. The technical problem that the continuity and reliability of low-altitude signal coverage are poor due to the fact that the field angle of the millimeter wave base station is fixed in the related technology is solved.

Description

Technical Field

[0001] The present application relates to the field of wireless communication technology, and in particular to a method, device, electronic device and storage medium for adjusting the field of view angle of a base station. Background Art

[0002] With the development of technologies such as drones, low-altitude logistics, and autonomous driving, low-altitude perception networks have become critical infrastructure. Millimeter waves, due to their high frequency and wide bandwidth, are an ideal choice for low-altitude perception networks. However, millimeter wave signal propagation is susceptible to obstacles and environmental factors, and the fixed field of view (FOV) of millimeter wave base stations in related technologies poses challenges in terms of continuity and reliability of low-altitude signal coverage.

[0003] To address the above-mentioned problems, no effective solutions have been proposed so far. Summary of the Invention

[0004] The embodiments of the present application provide a base station field of view angle 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 angle of the millimeter wave base station in the related technology.

[0005] According to one aspect of an embodiment of the present application, a method for adjusting the field of view angle of a base station is provided, including: 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; when a drone device is detected within the sensing area of ​​the millimeter wave base station, determining the drone height of the drone device; determining a target field of view angle corresponding to the millimeter wave base station based on the base station spacing, the base station height, and the drone height, 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 drone device is the largest; determining and setting the field of view angle range corresponding to the millimeter wave base station based on the main lobe scanning range and the target field of view angle corresponding to the antenna of the millimeter wave base station.

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

[0007] Optionally, the main lobe scanning range includes: the 3db width of the vertical plane beam; based on the main lobe scanning range and the target field of view angle corresponding to the antenna of the millimeter wave base station, determining and setting the field of view angle range corresponding to the millimeter wave base station includes: determining the 3db width of the vertical plane beam corresponding to the antenna of the millimeter wave base station; the angle range centered on the target field of view angle and offset up and down by the 3db width of the vertical plane beam is determined as the field of view angle range, wherein the value of the upper limit of the angle of the field of view angle range is equal to the sum of the target field of view angle and the 3db width of the vertical plane beam, and the value of the lower limit of the angle of the field of view angle range is equal to the difference between the target field of view angle and the 3db width of the vertical plane beam.

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

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

[0010] Optionally, the method also includes: obtaining 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 to determine the position and altitude of the UAV device at the next moment based on the movement trajectory data; determining and setting the field of view angle range corresponding to 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 angle range.

[0011] Optionally, the prediction model is trained based on a training data set, wherein the training data set includes multiple historical movement trajectory data of multiple UAV devices, as well as the field of view angle range of the millimeter wave base station corresponding to each historical moment in each historical movement trajectory data and the signal quality parameter corresponding to the field of view angle range, wherein the signal quality parameter is 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 angle range is set.

[0012] According to another aspect of the embodiment of the present application, a base station field of view angle adjustment device is also provided, including: 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 perception network, wherein the low-altitude perception network includes multiple millimeter wave base stations with interconnected signal coverage areas; a drone parameter determination module, used to determine the drone height of the drone device when a drone device is detected within the perception area of ​​the millimeter wave base station; a target field of view angle determination module, used to determine the target field of view angle 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 angle is 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 theoretically the largest; a field of view angle range setting module, used to determine and set the field of view angle range corresponding to the millimeter wave base station based on the main lobe scanning range and target field of view angle corresponding to the antenna of the millimeter wave base station.

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

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

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

[0016] In an embodiment of the present application, the base station spacing and base station height between millimeter wave base stations in a low-altitude sensing network are determined, wherein the low-altitude sensing network includes multiple millimeter wave base stations with interconnected signal coverage areas; when a drone device is detected in the sensing area of ​​the millimeter wave base station, the drone height of the drone device is determined; based on the base station spacing, the base station height, and the drone height, 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 drone device is the largest; based on the main lobe scanning range and the target field of view angle corresponding to the antenna of the millimeter wave base station, the field of view angle range corresponding to the millimeter wave base station is determined and set. By dynamically adjusting the FOV of the millimeter wave base station according to information such as the height and position of the millimeter wave base station and the drone height sensed in the area, the purpose of ensuring the continuity of air coverage, reducing signal interference between base stations, and improving the overall communication performance of the network is achieved, thereby solving 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 technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present 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 viewing angle of a base station provided in an embodiment of the present application;

[0019] Figure 2 1 is a schematic diagram of a method flow for adjusting the viewing angle of a base station provided in accordance with an embodiment of the present application;

[0020] Figure 3 is a schematic diagram of a field of view angle calculation principle provided according to an embodiment of the present application;

[0021] Figure 4 It is a structural diagram of a base station field of view angle adjustment device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.

[0023] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in a sequence other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0024] To facilitate those skilled in the art to better understand the embodiments of the present application, some technical terms or nouns involved in the embodiments of the present application are explained as follows:

[0025] Field of View (FOV) refers to the angular range covered by a sensor or antenna. For millimeter-wave communication systems, the FOV represents the spatial range within which the antenna can effectively transmit or receive signals. In wireless communications, especially millimeter-wave communications, the FOV directly impacts key performance indicators such as signal coverage, signal strength, and interference levels.

[0026] In low-altitude communication environments, multiple communication nodes (such as drones and base stations) operate simultaneously, which can easily cause signal interference. Millimeter-wave signals are also susceptible to obstacles and environmental factors during propagation. In related technologies, the field of view (FOV) of millimeter-wave base stations is fixed, resulting in poor continuity and reliability of low-altitude signal coverage.

[0027] In order to solve the above problems, relevant solutions are provided in the embodiments of the present application, which are described in detail below.

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

[0029] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Figure 1 The figure shows a hardware structure block diagram of a computer terminal (or electronic device) for implementing a method for adjusting the viewing angle of a base station. Figure 1As shown, the computer terminal 10 (or electronic device) may include one or more (illustrated as 102a, 102b, ..., 102n in the figure) processors 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), 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 the BUS bus), a network interface, a power supply and / or a camera. It will be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 1 More or fewer components than shown, or with Figure 1 Different configurations shown.

[0030] It should be noted that the one or more processors 102 and / or other data processing circuits described above may generally be referred to herein as "data processing circuitry". The data processing circuitry may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuitry may be a single independent processing module, or may be incorporated in whole or in part into any of the other components of the computer terminal 10 (or electronic device). As described in the embodiments of the present application, the data processing circuitry serves as a processor control (e.g., selection of a variable resistor terminal 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 the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, implementing the above-mentioned base station field of view adjustment method. The memory 104 may include a high-speed random access memory, and may also include a 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 a memory remotely located relative to the processor 102, and these remote memories may be connected to the computer terminal 10 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0032] The transmission device 106 is configured to receive or transmit data via a network. A specific example of the aforementioned network may include a wireless network provided by the communications provider of the computer terminal 10. In one embodiment, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to enable communication with the Internet. In another embodiment, the transmission device 106 may be a radio frequency (RF) module, which is configured to communicate with the Internet wirelessly.

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

[0034] In the above operating environment, the embodiment of the present application provides a method for adjusting the viewing angle of a base station. Figure 2 is a schematic diagram of a method flow for adjusting the viewing angle of a base station provided in accordance with an embodiment of the present application, such as Figure 2 As shown, the method includes the following steps:

[0035] Step S202: determining 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, when a UAV device is detected within the sensing area of ​​the millimeter wave base station, determining the UAV height of the UAV device;

[0037] Step S206: Determine the target field of view angle corresponding to the millimeter wave base station based on the base station spacing, base station height, and the altitude of the UAV. The target field of view angle is the angle at which the signal strength of the signal transmitted by the millimeter wave base station antenna to the UAV device is theoretically maximized.

[0038] Step S208 : determining and setting the field of view angle range corresponding to the millimeter wave base station according to the main lobe scanning range and the target field of view angle corresponding to the antenna of the millimeter wave base station.

[0039] Through the above steps, the FOV of the millimeter wave base station is dynamically adjusted according to information such as the height and position of the millimeter wave base station, combined with the height of the drone perceived in the area, thereby achieving the purpose of ensuring the continuity of air coverage, reducing signal interference between base stations, and improving the overall communication performance of the network. This 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 related technologies.

[0040] The following further introduces the base station field of view angle adjustment method in steps S202 to S208 of the embodiment of the present application.

[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 that the signal coverage areas between base stations can be seamlessly connected. The use of high-gain directional antennas can ensure the signal propagation distance and coverage range at low altitudes to achieve wireless coverage.

[0042] When a drone device is detected within the sensing area of ​​the millimeter wave base station, the human-machine height H of the sensed drone is determined. 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 height H. The specific steps are as follows.

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

[0044] Specifically, the principle of calculating the field of view angle is as follows: Figure 3 As shown, the calculation formula for the optimal field of view FoV is as follows: Among them, Hh is the first parameter mentioned above, This is the second parameter mentioned above. Taking ISD as 1km, UAV height H as 300m, and base station height h as 30m as an example, the calculated optimal field of view FoV for the air is 40°.

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

[0046] In some embodiments of the present application, the main lobe scanning range includes: a 3db width of a vertical plane beam; determining and setting the field of view angle range corresponding to the millimeter wave base station based on the main lobe scanning range and the target field of view angle corresponding to the antenna of the millimeter wave base station includes the following steps: determining the 3db width of the vertical plane beam corresponding to the antenna of the millimeter wave base station; determining the angle range of the vertical plane beam 3db width centered on the target field of view angle and offset up and down as the field of view angle range, wherein the value of the upper limit of the angle of the field of view angle range is equal to the sum of the target field of view angle and the 3db width of the vertical plane beam, and the value of the lower limit of the angle of the field of view angle range is equal to the difference between the target field of view angle and the 3db width of the vertical plane beam.

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

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

[0049] In some embodiments of the present application, the method also includes the following steps: when multiple drone devices are detected within the perception area of ​​the millimeter wave base station, determining the drone height corresponding to each drone device, and determining the field of view angle range corresponding to each drone device based on the drone height; based on the field of view angle range corresponding to each drone device, determining and setting the target field of view angle range corresponding to the millimeter wave base station, wherein the field of view angle range corresponding to each drone device is included in the target field of view angle range.

[0050] Specifically, when the millimeter-wave telesensory base station senses multiple drones and different heights h1, h2, h3, ..., the above-mentioned calculation formula for the optimal field of view FoV and field of view angle range is substituted to obtain FoV Range1, FoV Range2, FoVRange3, ... multiple field of view angle ranges, and a union operation is performed on the multiple field of view angle ranges, and the millimeter-wave base station FoV angle with the largest range (that is, the above-mentioned target field of view angle range) is taken for setting.

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

[0052] In some embodiments of the present application, the method also includes the following steps: when no 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 a preset default drone height, and determining and setting the field of view angle range corresponding to the millimeter wave base station based on the target field of view angle.

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

[0054] To further enhance signal coverage, AI technology can be combined with dynamic field of view optimization. This technology analyzes historical data, predicts the drone's movement path and altitude, and dynamically adjusts the field of view to reduce interference and improve communication performance. The base station also uses AI self-learning to continuously optimize the field of view setting strategy. The specific steps are as follows.

[0055] In some embodiments of the present application, the method also includes the following steps: obtaining 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 to determine the position and altitude of the UAV device at the next moment based on the movement trajectory data; determining and setting the field of view angle range corresponding to 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 angle range.

[0056] In this embodiment, the above-mentioned prediction model is obtained by training based on a training data set, wherein the training data set includes multiple historical movement trajectory data of multiple UAV devices, as well as the field of view angle range of the millimeter wave base station corresponding to each historical moment in each historical movement trajectory data and the signal quality parameter corresponding to the field of view angle range, wherein the signal quality parameter is 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 angle range is set.

[0057] Specifically, the base station can collect real-time data on the drone's location, altitude, and movement trajectory. AI algorithms are used to analyze existing real-time data in combination with historical data to predict the drone's likely movement path and altitude. Based on the AI ​​prediction results, the base station's field of view (FOV) is dynamically adjusted, antenna pointing is optimized in advance, and response speed and signal coverage efficiency are improved. Furthermore, AI technology can be used to monitor signal interference between base stations, dynamically adjusting the FOV and transmit power to reduce interference and improve communication performance. Furthermore, through self-learning using AI algorithms, the base station can continuously optimize the FOV setting strategy, improving the overall communication performance and stability of the network.

[0058] In an embodiment of the present application, a millimeter-wave tele-sensory integrated base station can first be used to continuously scan and track drones to obtain drone flight data. The collected data is pre-processed by the perception network element, including steps such as denoising, filtering, and feature extraction to improve the quality and availability of the data for drone identification. Afterwards, the base station core network intelligent processing network element uses a large amount of drone flight data to train the AI ​​algorithm, enabling it to accurately identify the drone's flight pattern and characteristics. By optimizing the 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 discrepancies between the drone's actual flight data and the predicted results, the algorithm parameters and prediction model are dynamically adjusted to improve the accuracy and robustness of the prediction. Furthermore, multi-base station collaboration can enable the sharing and collaboration of multi-base station perception and prediction data, improving the accuracy of drone predictions in a networked environment. Finally, the predicted drone trajectory can be used to track and adjust the base station's FOV in advance. For example, by predicting changes in a drone's flight altitude in advance, the millimeter-wave base station's FOV can be dynamically adjusted to ensure that the drone remains within the millimeter-wave base station's main lobe coverage, ensuring the millimeter-wave base station's communication and perception of the drone.

[0060] The embodiment of the present application determines the FOV of the millimeter wave base station based on the millimeter wave base station and in combination with the height and number of drones in the area, and considers the base station's inherent AI capabilities. It uses the drone's historical data to predict the drone's motion trajectory, and can optimize and adjust the millimeter wave base station's field of view in advance. By constraining the field of view, the signal can be concentrated in a specific area, reducing interference between adjacent nodes and improving communication quality. At the same time, it can concentrate signal energy, enhance signal strength, reduce signal attenuation and instability, thereby improving communication reliability, achieving reduced interference while improving communication and perception performance, and improving the millimeter wave's perception accuracy of the air base station. In addition, by reasonably controlling the field of view, the antenna's radiation energy distribution can be optimized, unnecessary energy waste can be reduced, the energy consumption of the millimeter wave base station can be reduced, and the energy efficiency of the system can be improved.

[0061] According to an embodiment of the present application, an embodiment of a base station field of view angle adjustment device is also provided. Figure 4 Schematic diagram of a base station viewing angle adjustment device according to an embodiment of the present application. Figure 4 As shown, the device includes:

[0062] a base station parameter determination module 40 for 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;

[0063] a drone parameter determination module 42 for determining the drone height 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 angle determination module 44 is configured to determine 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. The target field of view angle is the angle at which the signal strength of the millimeter wave base station antenna transmitting the signal to the drone device is theoretically maximized.

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

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

[0067] Optionally, the main lobe scanning range includes: the 3db width of the vertical plane beam; based on the main lobe scanning range and the target field of view angle corresponding to the antenna of the millimeter wave base station, determining and setting the field of view angle range corresponding to the millimeter wave base station includes: determining the 3db width of the vertical plane beam corresponding to the antenna of the millimeter wave base station; the angle range centered on the target field of view angle and offset up and down by the 3db width of the vertical plane beam is determined as the field of view angle range, wherein the value of the upper limit of the angle of the field of view angle range is equal to the sum of the target field of view angle and the 3db width of the vertical plane beam, and the value of the lower limit of the angle of the field of view angle range is equal to the difference between the target field of view angle and the 3db width of the vertical plane beam.

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

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

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

[0071] Optionally, the prediction model is trained based on a training data set, wherein the training data set includes multiple historical movement trajectory data of multiple UAV devices, as well as the field of view angle range of the millimeter wave base station corresponding to each historical moment in each historical movement trajectory data and the signal quality parameter corresponding to the field of view angle range, wherein the signal quality parameter is 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 angle range is set.

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

[0073] It should be noted that the base station viewing angle adjustment device provided in this embodiment can be used to perform Figure 2 The base station field of view angle adjustment method shown in the figure, therefore, the relevant explanations and descriptions of the above-mentioned base station field of view angle adjustment method are also applicable to the embodiments of the present application and will not be repeated here.

[0074] An embodiment of the present application also provides a non-volatile storage medium, which includes a stored computer program, wherein the device where the non-volatile storage medium is located executes the following base station field of view angle 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; when a drone device is detected within the sensing area of ​​the millimeter wave base station, determining the drone height of the drone device; determining the target field of view angle corresponding to the millimeter wave base station based on the base station spacing, the base station height, and the drone height, 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 drone device is the largest; determining and setting the field of view angle range corresponding to the millimeter wave base station based on the main lobe scanning range and the target field of view angle corresponding to the antenna of the millimeter wave base station.

[0075] An embodiment of the present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the base station field of view angle adjustment method described in each embodiment of the present 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; when a drone device is detected within the sensing area of ​​the millimeter wave base station, determining the drone height of the drone device; determining the target field of view angle corresponding to the millimeter wave base station based on the base station spacing, the base station height, and the drone height, 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 drone device is the maximum; determining and setting the field of view angle range corresponding to the millimeter wave base station based on the main lobe scanning range and the target field of view angle corresponding to the antenna of the millimeter wave base station.

[0076] The serial numbers of the above embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0077] In the above embodiments of the present application, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, please refer to the relevant description 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. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0079] The units described as separate components may or may not be physically separate, and 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 may be selected according to actual needs to achieve the purpose of the present embodiment.

[0080] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0081] If the integrated unit is implemented in the form of 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 the present application is essentially 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, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0082] The above is only a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for adjusting a viewing angle 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 a plurality of millimeter wave base stations whose signal coverage areas are interconnected; In the case where a UAV device is detected within the sensing area of ​​the millimeter wave base station, determining a UAV height of the UAV device; Determine the target field of view angle corresponding to the millimeter wave base station according to the base station spacing, the base station height, and the height of the UAV, wherein the target field of view angle is 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 theoretically the largest; The field of view angle range corresponding to the millimeter wave base station is determined and set according to the main lobe scanning range corresponding to the antenna of the millimeter wave base station and the target field of view angle.

2. The method for adjusting the viewing angle of a base station according to claim 1, characterized in that: Determining the target field of view angle corresponding to the millimeter wave base station according to the base station spacing, the base station height, and the height of the drone includes: Calculate the difference between the height of the UAV and the height of the base station to obtain a first parameter; Determining a second parameter according to the base station spacing and a preset adjustment coefficient; The target field of view angle is determined according to the first parameter and the second parameter by using an inverse trigonometric function.

3. The method for adjusting the viewing angle of a base station according to claim 2, characterized in that: The main lobe scanning range includes: a 3db width of a vertical plane beam; according to the main lobe scanning range corresponding to the antenna of the millimeter wave base station and the target field of view angle, determining and setting the field of view angle range corresponding to the millimeter wave base station includes: Determine the 3db width of the vertical plane beam corresponding to the antenna of the millimeter wave base station; The angle range of the vertical plane beam 3db width offset up and down with the target field of view angle as the center is determined as the field of view angle range, wherein the value of the upper limit of the field of view angle range is equal to the sum of the target field of view angle and the 3db width of the vertical plane beam, and the value of the lower limit of the field of view angle range is equal to the difference between the target field of view angle and the 3db width of the vertical plane beam.

4. The method for adjusting the viewing angle of a base station according to claim 1, characterized in that: The method further comprises: When multiple UAV devices are detected within the sensing area of ​​the millimeter wave base station, determine the UAV height corresponding to each UAV device, and determine the field of view angle range corresponding to each UAV device based on the UAV height; According to the field of view angle range corresponding to each of the UAV devices, the target field of view angle range corresponding to the millimeter wave base station is determined and set, wherein the field of view angle range corresponding to each of the UAV devices is included in the target field of view angle range.

5. The method for adjusting the viewing angle of a base station according to claim 4, characterized in that: The method further comprises: When no UAV device is detected within the sensing area of ​​the millimeter wave base station, the target field of view angle corresponding to the millimeter wave base station is determined according to a preset default UAV height, and the field of view angle range corresponding to the millimeter wave base station is determined and set according to the target field of view angle.

6. The method for adjusting the viewing angle of a base station according to claim 1, characterized in that: The method further comprises: Acquire 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 corresponding position of the drone device and the drone height at the next moment; According to the predicted position and the height of the UAV, the field of view angle range corresponding to the millimeter wave base station at the next moment is determined and set, and the prediction model is used to correct the field of view angle range.

7. The method for adjusting the viewing angle of a base station according to claim 6, characterized in that: The prediction model is trained based on a training data set, wherein the training data set includes multiple historical movement trajectory data of multiple UAV devices, and the field of view angle range of the millimeter wave base station corresponding to each historical moment in each historical movement trajectory data and the signal quality parameter corresponding to the field of view angle range, wherein the signal quality parameter is 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 angle range is set.

8. A base station viewing angle adjustment device, characterized in that: include: 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 a plurality of millimeter wave base stations whose signal coverage areas are interconnected; A drone parameter determination module, configured to determine a drone height of the drone device when a drone device is detected within a sensing area of ​​the millimeter wave base station; A target viewing angle determination module is used to determine the target viewing angle corresponding to the millimeter wave base station according to the base station spacing, the base station height, and the height of the drone, wherein the target viewing angle is 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 theoretically the maximum; The field of view angle range setting module is used to determine and set the field of view angle range corresponding to the millimeter wave base station according to the main lobe scanning range corresponding to the antenna of the millimeter wave base station and the target field of view angle.

9. An electronic device, characterized in that: include: A memory and a processor, wherein the processor is used to run a program stored in the memory, wherein the base station field of view angle adjustment method described in any one of claims 1 to 7 is executed when the program is run.

10. A non-volatile storage medium, characterized in that: The non-volatile storage medium includes a stored computer program, wherein the device where the non-volatile storage medium is located executes the base station field of view angle adjustment method according to any one of claims 1 to 7 by running the computer program.

11. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the base station viewing angle adjustment method described in any one of claims 1 to 7 are implemented.

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