Base station signal coverage methods, devices, electronic equipment, storage media and products

Abstract

This disclosure provides a signal coverage method, apparatus, electronic device, storage medium, and product for a base station. The method includes: acquiring flight attribute information and communication parameters of a drone connected to the base station; determining a target airspace where the drone can access the base station based on the flight attribute information; wherein the target airspace is the spatial region formed after the base station's antenna transmits beams obliquely upwards at an elevation angle; determining the number of antenna beams for each airspace layer of the target airspace based on the base station's maximum link loss and the communication parameters, thereby obtaining a signal coverage strategy for the target airspace from the base station; wherein the number of antenna beams corresponding to each airspace layer is different.

Description

Technical Field

[0001] This disclosure relates to the field of computer technology, and more specifically, to a method, apparatus, electronic device, storage medium, and product for signal coverage of a base station. Background Technology

[0002] Unmanned aerial vehicles (UAVs), or drones for short, have broad application prospects and can support solutions in many fields such as transportation, energy, and public utilities. UAVs can be combined with mobile communication technology to form connected UAVs. Connected UAVs can achieve equipment monitoring and management, standardized flight routes, improved efficiency, reduced impact on general air routes, and promoted the rational use of airspace resources.

[0003] Currently, the application scenarios and communication needs of connected drones are mainly in the low-altitude airspace. The existing technical solution for deploying communication networks in the low-altitude airspace is to use ground-based 5G base stations to cover the low-altitude airspace. However, the way traditional ground-based 5G base stations transmit signals cannot meet the signal requirements of drones in the low-altitude airspace. Summary of the Invention

[0004] This disclosure provides at least one method, apparatus, electronic device, storage medium, and product for signal coverage of a base station.

[0005] In a first aspect, embodiments of this disclosure provide a method for signal coverage of a base station, including:

[0006] Obtain the flight attribute information and communication parameters of the drones connected to the base station;

[0007] Based on the flight attribute information, the target airspace that the UAV can access the base station is determined; wherein, the target airspace is the spatial region formed after the base station's antenna transmits a beam obliquely upward at the transmission elevation angle;

[0008] Based on the maximum link loss of the base station and the communication parameters, the number of antenna beams for each airspace layer of the target airspace is determined, and the signal coverage strategy of the base station for the target airspace is obtained; wherein the number of antenna beams corresponding to each airspace layer is different.

[0009] In one optional implementation, the flight attribute information is a preset flight altitude; determining the target airspace where the UAV can access the base station based on the flight attribute information includes:

[0010] Obtain the coverage distance of the base station;

[0011] Based on the preset flight altitude and the coverage distance, the transmission elevation angle of the base station's antenna is determined, and based on the transmission elevation angle, the target airspace is determined.

[0012] In one optional implementation, the method further includes:

[0013] The coverage distance is input into the free space model for calculation to obtain the maximum link loss of the base station.

[0014] In one optional implementation, determining the number of antenna beams for each spatial layer of the target airspace based on the maximum link loss of the base station and the communication parameters includes:

[0015] Based on the communication parameters, the base station antenna gain of the base station is determined;

[0016] Based on the base station antenna gain, the number of antenna beams in each spatial layer of the target airspace is determined.

[0017] In one optional implementation, determining the base station antenna gain based on the communication parameters includes:

[0018] Based on the communication parameters, the maximum uplink link loss of the UAV is determined;

[0019] Based on the maximum uplink link loss and the maximum link loss, the maximum downlink link loss of the UAV is determined;

[0020] The base station antenna gain of the base station is determined based on the maximum downlink link loss.

[0021] In one optional implementation, the determination of the maximum uplink link loss of the UAV based on the communication parameters, wherein the communication parameters include at least one of the following: the UAV's transmit power and the UAV's receiver sensitivity, includes:

[0022] Based on the receiver sensitivity and uplink transmit power of the UAV in the communication parameters, the maximum uplink link loss of the UAV is determined.

[0023] In one optional implementation, determining the downlink maximum link loss of the UAV based on the uplink maximum link loss and the maximum link loss includes:

[0024] The difference between the maximum link loss and the maximum uplink link loss is determined as the maximum downlink link loss.

[0025] In one optional implementation, determining the number of antenna beams for each spatial layer of the target airspace based on the base station antenna gain includes:

[0026] Based on the base station antenna gain, the beamwidth of the antenna beam in the outermost spatial layer of each spatial layer is determined;

[0027] The number of antenna beams in the outermost spatial layer is determined based on the beamwidth of the antenna beams in the outermost spatial layer.

[0028] The number of antenna beams in the remaining spatial layers of each spatial layer is determined based on the number of antenna beams in the outermost spatial layer.

[0029] In one optional implementation, determining the number of antenna beams for the remaining spatial layers in each spatial layer based on the number of antenna beams in the outermost spatial layer includes:

[0030] Based on the beamwidth of the antenna beam of the outermost spatial layer, the beamwidth of the antenna beam of the remaining spatial layers is determined.

[0031] The number of antenna beams in the remaining spatial layer is determined based on the beamwidth of the antenna beams in the remaining spatial layer.

[0032] Secondly, embodiments of this disclosure also provide a signal coverage device for a base station, comprising:

[0033] The acquisition module is used to acquire the flight attribute information and communication parameters of the UAV connected to the base station;

[0034] The first determining module is used to determine, based on the flight attribute information, the target airspace in which the UAV can access the base station; wherein, the target airspace is the spatial region formed after the base station's antenna transmits a beam obliquely upward at the transmission elevation angle;

[0035] The second determining module is used to determine the number of antenna beams for each airspace layer of the target airspace based on the maximum link loss of the base station and the communication parameters, so as to obtain the signal coverage strategy of the base station for the target airspace; wherein the number of antenna beams corresponding to each airspace layer is different.

[0036] Thirdly, embodiments of this disclosure also provide an electronic device, including: a processor, a memory, and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the memory via the bus, and when the machine-readable instructions are executed by the processor, the steps of the first aspect above, or any possible implementation of the first aspect, are performed.

[0037] Fourthly, embodiments of this disclosure also provide a computer-readable storage medium storing a computer program that, when executed by a processor, performs the steps of the first aspect or any possible implementation of the first aspect.

[0038] Fifthly, embodiments of this disclosure also provide a computer program product, which is stored in a storage medium and is executed by at least one processor, along with the steps described in the first aspect or any possible implementation of the first aspect.

[0039] In the embodiments of this disclosure, firstly, the flight attribute information and communication parameters of the UAV accessed by the base station are obtained; then, based on the flight attribute information, the target airspace that the UAV can access the base station is determined; wherein, the target airspace is the spatial area formed after the base station's antenna transmits beams obliquely upward at the transmission elevation angle; finally, based on the base station's maximum link loss and communication parameters, the number of antenna beams for each airspace layer of the target airspace is determined, and the base station's signal coverage strategy for the target airspace is obtained; wherein, the number of antenna beams corresponding to each airspace layer is different.

[0040] Compared to the signal coverage area obtained by existing base stations using existing signal transmission methods, the technical solution disclosed in this disclosure, by determining the target airspace, can obtain a spatial region resembling a cone or an inverted trapezoid. Compared to the aforementioned signal coverage area, this spatial region has a larger coverage range in the low-altitude airspace, thereby expanding the access range of UAVs. Based on the shape of the target airspace, it is known that the signal coverage distance varies at different airspace layers. Therefore, by setting different numbers of antenna beams for different airspace layers, it is possible to ensure full signal coverage of the target airspace while further improving signal coverage performance.

[0041] To make the above-mentioned objects, features and advantages of this disclosure more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0042] To more clearly illustrate the technical solutions of the embodiments of this disclosure, the accompanying drawings used in the embodiments will be briefly described below. These drawings are incorporated in and constitute a part of this specification. They illustrate embodiments conforming to this disclosure and, together with the specification, serve to explain the technical solutions of this disclosure. It should be understood that the following drawings only show some embodiments of this disclosure and should not be considered as limiting the scope. Those skilled in the art can obtain other related drawings based on these drawings without creative effort.

[0043] Figure 1A flowchart of a base station signal coverage method provided in an embodiment of this disclosure is shown;

[0044] Figure 2 A schematic diagram showing the transmission elevation angle of the base station antenna provided in an embodiment of this disclosure is shown;

[0045] Figure 3 This diagram shows a top view of the beamwidth of the antenna beam of the outermost spatial layer provided in an embodiment of this disclosure;

[0046] Figure 4 This diagram shows a top view of the beamwidth of the antenna beams for each spatial layer provided in the embodiments of this disclosure;

[0047] Figure 5 This diagram shows a side view of the beamwidth of the antenna beams for each spatial layer provided in the embodiments of this disclosure;

[0048] Figure 6 A detailed flowchart of the base station signal coverage method provided in this embodiment of the present disclosure is shown;

[0049] Figure 7 A schematic diagram of another base station signal coverage device provided in an embodiment of this disclosure is shown;

[0050] Figure 8 A schematic diagram of an electronic device provided in an embodiment of the present disclosure is shown. Detailed Implementation

[0051] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this disclosure, and not all of them. The components of the embodiments of this disclosure described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this disclosure provided in the accompanying drawings is not intended to limit the scope of the claimed disclosure, but merely represents selected embodiments of this disclosure. All other embodiments obtained by those skilled in the art based on the embodiments of this disclosure without inventive effort are within the scope of protection of this disclosure.

[0052] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0053] In this document, the term "and / or" merely describes a relationship, indicating that three relationships can exist. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Furthermore, the term "at least one" in this document means any combination of at least two of any one or more elements. For example, including at least one of A, B, and C can mean including any one or more elements selected from the set consisting of A, B, and C.

[0054] Research has shown that unmanned aerial vehicles (UAVs) have broad application prospects and can support solutions in many fields such as transportation, energy, and public utilities. UAVs can be combined with mobile communication technology to form connected UAVs. Connected UAVs can achieve equipment monitoring and management, standardized flight routes, improved efficiency, reduced impact on general air routes, and promoted the rational use of airspace resources.

[0055] Currently, the application scenarios and communication needs of connected drones are mainly in the low-altitude airspace. The existing technical solution for deploying communication networks in the low-altitude airspace is to use terrestrial 5G base stations to cover the low-altitude airspace. However, since terrestrial 5G base stations typically transmit signals horizontally, they cannot meet the signal requirements of the low-altitude airspace.

[0056] Based on the above research, this disclosure provides a signal coverage method for a base station. Compared to the signal coverage area obtained by existing base stations using existing signal transmission methods, the technical solution of this disclosure, by determining the target airspace, can obtain a spatial region resembling a cone or an inverted trapezoid. Compared to the aforementioned signal coverage area, this spatial region has a larger coverage range in the low-altitude airspace, thereby expanding the access range of UAVs. As can be seen from the shape of the target airspace, the signal coverage distance varies at different airspace layers. Therefore, by setting different numbers of antenna beams for different airspace layers, it is possible to ensure full signal coverage of the target airspace while further improving signal coverage performance.

[0057] To facilitate understanding of this embodiment, a signal coverage method for a base station disclosed in this disclosure will first be described in detail. The execution subject of the signal coverage method for a base station provided in this disclosure is generally an electronic device with a certain computing power. In some possible implementations, the signal coverage method for the base station can be implemented by a processor calling computer-readable instructions stored in memory.

[0058] See Figure 1 The diagram shows a flowchart of a base station signal coverage method provided in an embodiment of this disclosure. The method includes steps S101 to S103, wherein:

[0059] S101. Obtain the flight attribute information and communication parameters of the UAV connected to the base station.

[0060] In embodiments of this disclosure, the flight attribute information of the UAV includes at least one of the following: the flight altitude and flight speed of the UAV.

[0061] Here, the communication parameters include at least one of the following: transmit power and receiver sensitivity. Transmit power includes both the UAV uplink transmit power and the UAV downlink transmit power.

[0062] Here, actual measurements can be taken to determine the drone's flight attributes and communication parameters; alternatively, the drone's factory settings can be referenced to determine its flight attributes and communication parameters.

[0063] S102. Based on flight attribute information, determine the target airspace where the UAV can access the base station; wherein, the target airspace is the spatial area formed after the base station's antenna transmits a beam obliquely upward at the transmission elevation angle.

[0064] In the embodiments of this disclosure, the target airspace where the UAV can access the base station can be determined based on a preset flight altitude in the flight attribute information. In other words, the UAV can access the base station when it is in the target airspace.

[0065] Here, the target airspace can be a conical region. The higher the preset flight altitude, the smaller the radius of the conical region, which means the smaller the area that can be covered by the drone. Here, the beam emitted by the base station's antenna needs to fill this target airspace.

[0066] S103. Based on the maximum link loss and communication parameters of the base station, determine the number of antenna beams for each airspace layer of the target airspace to obtain the signal coverage strategy of the base station for the target airspace; wherein, the number of antenna beams corresponding to each airspace layer is different.

[0067] In embodiments of this disclosure, the number of antenna beams in each spatial layer of the target airspace can be determined through the following steps: First, the maximum link loss of the base station can be determined. Second, based on the maximum link loss, the number of antenna beams in the outermost spatial layer of the target airspace can be determined. Finally, based on the number of antenna beams in the outermost spatial layer of the target airspace, the number of antenna beams in each spatial layer of the target airspace, excluding the outermost spatial layer, can be determined.

[0068] Here, the actual coverage range of each antenna beam in different spatial layers can be obtained based on the number of antenna beams in each spatial layer of the target airspace and the range of the target airspace. Furthermore, the number of antenna beams in different spatial layers and the actual coverage range of each antenna beam in different spatial layers are determined as the base station's signal coverage strategy for the target airspace.

[0069] Here, the target airspace can be pre-divided into an innermost airspace layer, an intermediate airspace layer, and an outermost airspace layer, from the innermost to the outermost layer. For example, the target airspace can be evenly divided into the innermost airspace layer, the intermediate airspace layer, and the outermost airspace layer from the innermost to the outermost layer; alternatively, the target airspace can be evenly divided into the innermost airspace layer, the intermediate airspace layer, and the outermost airspace layer according to a preset division ratio; the preset division ratio can be set according to actual needs and is not specifically limited here.

[0070] Here, since the outermost spatial layer has the longest signal coverage distance, the largest number of antenna beams need to be transmitted. The signal coverage distance decreases sequentially from the outermost spatial layer to the middle and innermost spatial layers; therefore, the number of antenna beams required also decreases accordingly. Thus, different antenna beams can be set for each spatial layer. For example, for each spatial layer of the target spatial domain, the number of antenna beams increases sequentially from the inside out.

[0071] In the embodiments of this disclosure, firstly, the flight attribute information and communication parameters of the UAV accessed by the base station are obtained; then, based on the flight attribute information, the target airspace that the UAV can access the base station is determined; wherein, the target airspace is the spatial area formed after the base station's antenna transmits beams obliquely upward at the transmission elevation angle; finally, based on the base station's maximum link loss and communication parameters, the number of antenna beams for each airspace layer of the target airspace is determined, and the base station's signal coverage strategy for the target airspace is obtained; wherein, the number of antenna beams corresponding to each airspace layer is different.

[0072] In the above embodiments, compared to the signal coverage area obtained by existing base stations using existing signal transmission methods, the technical solution of this disclosure, by determining the target airspace, can obtain a spatial region resembling a cone or an inverted trapezoid. Compared to the aforementioned signal coverage area, this spatial region has a larger coverage range in the low-altitude airspace, thereby expanding the access range of the UAV. Based on the shape of the target airspace, it is known that the signal coverage distance varies at different airspace layers. Therefore, by setting different numbers of antenna beams for different airspace layers, it is possible to ensure full signal coverage of the target airspace while further improving signal coverage performance.

[0073] In an optional implementation, the above steps, based on flight attribute information, determine the target airspace where the UAV can access the base station, specifically including the following steps:

[0074] First, obtain the coverage distance of the base station;

[0075] Secondly, based on the preset flight altitude and coverage distance, the transmission elevation angle of the base station antenna is determined, and based on the transmission elevation angle, the target airspace is determined.

[0076] In the embodiments of this disclosure, the coverage distance of the base station is the farthest distance that the base station signal can be transmitted to.

[0077] Here, refer to Figure 2 The diagram shown is a schematic representation of the transmission elevation angle of a base station antenna provided in an embodiment of this disclosure.

[0078] Here, the transmission elevation angle α of the base station antenna can be determined by preset flight altitude h0 and base station coverage distance l1. i Among them, the transmission elevation angle α of the base station antenna. i Meets the following conditions:

[0079] α i =2*(π / 2-sin -1 (h0 / l1)).

[0080] Here, the preset flight altitude h0 can be referenced to the current common low-altitude network altitude of 300 meters; the base station coverage distance l1 can be set to, for example, 1500 meters, 1400 meters or 1600 meters based on historical experience.

[0081] Here, the coverage area of ​​the base station's transmitted beam can be determined as the target airspace based on the preset flight altitude, coverage distance, and transmission elevation angle.

[0082] Here, firstly, the signal transmission area of ​​the base station can be determined based on the transmission elevation angle. Secondly, the longitudinal boundary of this signal transmission area is determined based on the preset flight altitude. Finally, the lateral boundary of this signal transmission area is determined by the coverage distance, thus obtaining... Figure 2 The target airspace shown is a cone-shaped object.

[0083] In an optional implementation, this disclosure further includes the following steps:

[0084] First, the coverage distance is input into the free space model for calculation, and the calculation results are obtained;

[0085] Then, the maximum link loss of the base station is determined based on the calculation results.

[0086] In embodiments of this disclosure, the maximum link loss can be determined in several ways.

[0087] Method 1:

[0088] First, obtain the radio frequency band used by the base station. Second, input the radio frequency band and the coverage distance of the base station into the free space model for calculation to obtain the result. Finally, the calculation result can be determined as the maximum link loss.

[0089] Here, the free space model calculation formula meets the following conditions:

[0090] FSPL(l1, f c ) = 32.45 + 20log 10 (f c )+20log 10 (d);

[0091] Where l1 is the coverage distance of the base station, f c This refers to the wireless frequency band used by the base station. Where f... c The unit for is GHz; the unit for l1 is meters.

[0092] Method 2:

[0093] First, the receiver sensitivity of the base station can be obtained. Second, the array gain of the base station can be determined. Third, the overall gain loss of the base station can be determined. Finally, based on the receiver sensitivity, array gain, and overall gain loss of the base station, the maximum link loss of the base station can be determined.

[0094] Here, the maximum link loss meets the following condition:

[0095] Maximum link loss = Transmit EIRP (dBm) - Base station receiver sensitivity + Total gain loss + Array gain; where Transmit EIRP is the base station transmit power, in dBm.

[0096] In an optional implementation, the above steps determine the number of antenna beams for each spatial layer of the target airspace based on the base station's maximum link loss and communication parameters, specifically including the following steps:

[0097] First, the base station antenna gain is determined based on communication parameters;

[0098] Then, based on the base station antenna gain, the number of antenna beams for each spatial layer of the target airspace is determined.

[0099] In embodiments of this disclosure, the base station antenna gain can be determined based on the receiver sensitivity and transmit power of the UAV in the communication parameters.

[0100] Here, firstly, the beamwidth of the antenna beams at each spatial layer of the target airspace can be determined based on the base station antenna gain. Then, the number of antenna beams at each spatial layer can be determined based on the beamwidth of the antenna beams at each spatial layer.

[0101] Here, the beamwidth of the antenna beam for each spatial layer can be determined based on the base station antenna gain of each spatial layer using the beamwidth method.

[0102] In an optional implementation, the above steps determine the number of antenna beams for each spatial layer of the target airspace based on the base station antenna gain, specifically including the following steps:

[0103] First, based on the base station antenna gain, the beamwidth of the antenna beam in the outermost spatial layer of each spatial layer is determined;

[0104] Secondly, based on the beamwidth of the antenna beam in the outermost spatial layer, the number of antenna beams in the outermost spatial layer is determined.

[0105] Finally, the number of antenna beams in the remaining spatial layers in each spatial layer is determined based on the number of antenna beams in the outermost spatial layer.

[0106] In the embodiments of this disclosure, the base station antenna can be a lens antenna. Here, referring to the lens antenna parameters, it can be seen that after determining the operating frequency band of the lens antenna, the beamwidth of the antenna beam of the outermost spatial layer of the target airspace can be determined according to the base station antenna gain.

[0107] Here, after determining the beamwidth of the antenna beam in the outermost spatial layer, the number of antenna beams n1 in the outermost spatial layer can be calculated based on the beamwidth of the antenna beam in the outermost spatial layer.

[0108] Here, the number n1 of antenna beams in the outermost spatial layer satisfies the following condition:

[0109] (Min(k1)*b1)-π / 2>0; n1=k1*4;

[0110] Where b1 is the beamwidth of the antenna beam in the outermost spatial layer.

[0111] Here, refer to Figure 3 The diagram shown is a top view illustrating the beamwidth of the antenna beam of the outermost spatial layer provided in this embodiment. Assuming the base station antenna gain is 16 dBi, the beamwidth b1 of the outermost spatial layer antenna beam can be determined to be 19°. Through the above calculations, k1 = 5. That is, when the target spatial domain is a cone, within a spatial domain of π / 2 in the top view, five outermost spatial layer antenna beams can be configured. Therefore, 20 outermost spatial layer antenna beams can be configured in the outermost layer of the target spatial domain.

[0112] Here, the number of antenna beams decreases sequentially from the outermost to the innermost spatial layer. In other words, the number of antenna beams in the outermost spatial layer is greater than the number of antenna beams in the innermost spatial layer.

[0113] Here, because the signal coverage distance of the outermost spatial layer is the farthest, the number of antenna beams that need to be transmitted is the largest. The signal coverage distance from the outermost spatial layer to the other spatial layers decreases sequentially, therefore, the number of antenna beams that need to be transmitted also decreases accordingly.

[0114] In an optional implementation, the above steps determine the base station antenna gain based on communication parameters, specifically including the following steps:

[0115] First, based on communication parameters, determine the maximum uplink loss of the UAV;

[0116] Secondly, based on the maximum uplink link loss and the maximum link loss, the maximum downlink link loss of the UAV is determined;

[0117] Finally, the base station antenna gain is determined based on the maximum downlink link loss.

[0118] In the embodiments of this disclosure, firstly, the receiver sensitivity of the base station can be obtained. Secondly, the communication parameters of the UAV are obtained. Finally, based on the receiver sensitivity of the base station and the communication parameters of the UAV, the maximum uplink link loss of the UAV is determined.

[0119] In an optional implementation, the above steps, based on communication parameters, determine the maximum uplink link loss of the UAV, including:

[0120] Based on the receiver sensitivity and uplink transmit power of the UAV in the communication parameters, the maximum uplink link loss of the UAV is determined.

[0121] In the embodiments of this disclosure, after obtaining the receiver sensitivity of the base station, the maximum uplink link loss of the drone can be determined based on the receiver sensitivity of the drone in the communication parameters, the uplink transmit power of the drone in the communication parameters, and the receiver sensitivity of the base station.

[0122] Here, the maximum uplink link loss meets the following condition:

[0123] Maximum uplink loss = Uplink transmit EIRP + Base station antenna gain - Base station receiver sensitivity;

[0124] Here, EIRP represents the uplink transmit power of the UAV, and the receiver sensitivity of the base station can be found in the base station's configuration information. The base station antenna gain is 0 dBi, and the array gain is 0 dB.

[0125] Here, the uplink transmit power can be preset to 26+1.5dBm.

[0126] Here, the maximum link loss can be processed based on the uplink loss to obtain the maximum downlink link loss of the UAV.

[0127] In an optional implementation, the above steps, based on the uplink maximum link loss and the maximum link loss, determine the downlink maximum link loss of the UAV, including:

[0128] The difference between the maximum link loss and the maximum uplink link loss is determined as the maximum downlink link loss.

[0129] In the embodiments of this disclosure, the mobile communication system is generally an uplink-limited system, and the maximum downlink link loss can be obtained by referring to the maximum uplink link loss value. For example, the maximum downlink link loss can be obtained by subtracting the maximum uplink link loss from the maximum link loss.

[0130] Here, the maximum downlink link loss meets the following condition:

[0131] Maximum downlink link loss = Maximum link loss - Maximum uplink link loss.

[0132] Here, after determining the maximum downlink link loss, the base station antenna gain can be determined based on the receiver sensitivity of the UAV and the maximum downlink link loss.

[0133] Here, the base station antenna gain meets the following condition:

[0134] Base station antenna gain = downlink transmit EIRP - UAV receiver sensitivity - maximum downlink link loss;

[0135] Among them, downlink transmit EIRP is the downlink transmit power of the UAV.

[0136] In an optional implementation, the above steps determine the number of antenna beams in the remaining spatial layers in each spatial layer based on the number of antenna beams in the outermost spatial layer, specifically including the following steps:

[0137] First, based on the beamwidth of the antenna beam in the outermost spatial layer, the beamwidth of the antenna beam in the remaining spatial layers is determined.

[0138] Then, based on the beamwidth of the antenna beams in the remaining spatial layer, the number of antenna beams in the remaining spatial layer is determined.

[0139] In the embodiments of this disclosure, after determining the beamwidth of the antenna beam of the outermost spatial layer, the base station antenna gain corresponding to the remaining spatial layers can first be determined based on the base station antenna gain corresponding to the beamwidth of the outermost spatial layer. Then, the beamwidth of the antenna beam of the remaining spatial layers is determined based on the base station antenna gain corresponding to the remaining spatial layers.

[0140] Here, because the outermost spatial layer has a long coverage distance, it requires a higher base station antenna gain compared to other spatial layers. Therefore, the base station antenna gain from the outermost to the innermost spatial layer can be set to decrease in a tiered manner.

[0141] Here, the spatial domain can be set to three spatial domains: the outermost spatial domain, the middle spatial domain, and the innermost spatial domain. The base station antenna gain of the outermost spatial domain is greater than that of the middle spatial domain; the base station antenna gain of the middle spatial domain is greater than that of the innermost spatial domain.

[0142] Here, refer to Figure 4 The diagram shown is a top view illustrating the beamwidth of the antenna beams for each spatial layer provided in this embodiment of the present disclosure.

[0143] Among them, b 10 b is the beamwidth of the antenna beam in the intermediate spatial layer. 100 This represents the beamwidth of the antenna beam in the innermost spatial layer.

[0144] Here, the beamwidth b of the antenna beam in the intermediate spatial layer can be determined by the base station antenna gain of the antenna beam in the intermediate spatial layer. 10 The beamwidth b of the antenna beam in the innermost spatial layer can be determined by the base station antenna gain of the antenna beam in the innermost spatial layer. 100 .

[0145] Here, the beamwidth b of the antenna beam in the intermediate spatial layer is determined. 10 The beamwidth b of the antenna beam in the innermost spatial layer 100 Then, the beamwidth b of the antenna beam in the intermediate spatial layer can be used as a basis. 10 The beamwidth b of the antenna beam in the innermost spatial layer 100 Determine the number of antenna beams n2 in the middle spatial layer and the number of antenna beams n3 in the innermost spatial layer.

[0146] Here, the number of antenna beams n2 in the middle spatial layer and the number of antenna beams n3 in the innermost spatial layer satisfy the following conditions:

[0147] (Min(k2)*b 10 -π / 2 > 0; n2 = k2 * 4;

[0148] (Min(k3)*b 100 )-π / 2>0;n3=k3*4.

[0149] Here, refer to Figure 5 The diagram shown is a side view illustrating the beamwidth of the antenna beams for each spatial layer provided in this embodiment of the present disclosure.

[0150] Here, b 100 b is the beamwidth of the antenna beam in the innermost spatial layer. 10 b1 is the beamwidth of the antenna beam in the middle spatial layer, and b2 is the beamwidth of the antenna beam in the outermost spatial layer.

[0151] Here, by using a stepwise reduction design method for beams with different gains in the lens antenna, the lens antenna can transmit beams with different base station antenna gains to fill the target airspace and achieve full signal coverage of the target airspace.

[0152] In the embodiments of this disclosure, after determining the signal coverage strategy for the target airspace, a UAV equipped with test instruments can be used to test the signal coverage performance of the target airspace to determine whether the target airspace covered by antenna beams of different levels (each airspace layer) meets the design requirements.

[0153] Here, a drone equipped with test instruments is used to test the target airspace and verify the signal coverage performance of the target airspace. Due to the high overlap of network coverage in low-altitude networks, the actual interference value is greater, and the interference margin parameter may not match the value in the link budget, so it needs to be verified by test instruments.

[0154] See Figure 6 The diagram shown is a detailed flowchart of a base station signal coverage method provided in an embodiment of this disclosure.

[0155] S10. Obtain the flight attribute information and communication parameters of the UAV connected to the base station.

[0156] S20. Obtain the coverage distance of the base station.

[0157] S30. Based on the preset flight altitude and coverage distance in the flight attribute information, determine the transmission elevation angle of the base station antenna.

[0158] S40 determines the target airspace based on preset flight altitude, coverage distance, and launch elevation angle.

[0159] S50. Determine the maximum link loss, and based on the maximum link loss, determine the maximum uplink link loss of the UAV.

[0160] S60. Based on the maximum uplink link loss and the maximum link loss, determine the maximum downlink link loss of the UAV.

[0161] S70. Determine the base station antenna gain based on the maximum downlink link loss.

[0162] S80. Based on the base station antenna gain, determine the beamwidth and number of antenna beams in the outermost spatial layer of each spatial layer.

[0163] S90. Based on the beamwidth of the antenna beam in the outermost spatial layer, determine the beamwidth and number of antenna beams in the intermediate spatial layers of each spatial layer.

[0164] S100. Based on the beamwidth of the antenna beam in the intermediate spatial layer, determine the beamwidth and number of antenna beams in the innermost spatial layer of each spatial layer.

[0165] S110. Based on the beamwidth and number of antenna beams in the outermost spatial layer, the beamwidth and number of antenna beams in the middle spatial layer, and the beamwidth and number of antenna beams in the innermost spatial layer, determine the base station's signal coverage strategy for the target spatial domain.

[0166] S120. Use a drone equipped with test instruments to test the signal coverage performance of the target airspace and determine whether the target airspace covered by the antenna beams of each airspace layer meets the design requirements.

[0167] In the above embodiments, compared to the signal coverage area obtained by existing base stations using existing signal transmission methods, the technical solution of this disclosure, by determining the target airspace, can obtain a spatial region resembling a cone or an inverted trapezoid. Compared to the aforementioned signal coverage area, this spatial region has a larger coverage range in the low-altitude airspace, thereby expanding the access range of the UAV. Based on the shape of the target airspace, it is known that the signal coverage distance varies at different airspace layers. Therefore, by setting different numbers of antenna beams for different airspace layers, it is possible to ensure full signal coverage of the target airspace while further improving signal coverage performance.

[0168] Those skilled in the art will understand that, in the above-described method of the specific implementation, the order in which each step is written does not imply a strict execution order and does not constitute any limitation on the implementation process. The specific execution order of each step should be determined by its function and possible internal logic.

[0169] Based on the same inventive concept, this disclosure also provides a base station signal coverage device corresponding to the base station signal coverage method for low-altitude airspace. Since the principle of the device in this disclosure for solving the problem is similar to the base station signal coverage method described above in this disclosure, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be described again.

[0170] Reference Figure 7 The diagram shown is a schematic of a base station signal coverage device provided in an embodiment of this disclosure. The device includes: an acquisition module 11, a first determination module 12, and a second determination module 13; wherein,

[0171] The acquisition module is used to acquire the flight attribute information and communication parameters of the UAV connected to the base station;

[0172] The first determining module is used to determine the target airspace in which the UAV can access the base station based on the flight attribute information; wherein, the target airspace is the spatial region formed after the antenna of the base station emits a beam obliquely upward at the transmission elevation angle;

[0173] The second determining module is used to determine the number of antenna beams for each airspace layer of the target airspace based on the maximum link loss of the base station and the communication parameters, so as to obtain the signal coverage strategy of the base station for the target airspace; wherein the number of antenna beams corresponding to each airspace layer is different.

[0174] In the above embodiments, compared to the signal coverage area obtained by existing base stations using existing signal transmission methods, the technical solution of this disclosure, by determining the target airspace, can obtain a spatial region resembling a cone or an inverted trapezoid. Compared to the aforementioned signal coverage area, this spatial region has a larger coverage range in the low-altitude airspace, thereby expanding the access range of the UAV. Based on the shape of the target airspace, it is known that the signal coverage distance varies at different airspace layers. Therefore, by setting different numbers of antenna beams for different airspace layers, it is possible to ensure full signal coverage of the target airspace while further improving signal coverage performance.

[0175] In one possible implementation, the first determining module is further configured to: obtain the coverage distance of the base station;

[0176] Based on the preset flight altitude and the coverage distance, the transmission elevation angle of the base station's antenna is determined;

[0177] The target airspace is determined based on the preset flight altitude, the coverage distance, and the launch elevation angle.

[0178] In one possible implementation, the second determining module is further configured to: determine the base station antenna gain of the base station based on the communication parameters;

[0179] Based on the base station antenna gain, the number of antenna beams in each spatial layer of the target airspace is determined.

[0180] In one possible implementation, the second determining module is further configured to: determine the maximum uplink link loss of the UAV based on the communication parameters;

[0181] Based on the maximum uplink link loss and the maximum link loss, the maximum downlink link loss of the UAV is determined;

[0182] The base station antenna gain of the base station is determined based on the maximum downlink link loss.

[0183] In one possible implementation, the second determining module is further configured to: determine the maximum uplink link loss of the UAV based on the receiver sensitivity of the UAV in the communication parameters and the uplink transmit power of the UAV in the communication parameters.

[0184] In one possible implementation, the second determining module is further configured to: determine the difference between the maximum link loss and the uplink maximum link loss as the downlink maximum link loss.

[0185] In one possible implementation, the second determining module is specifically used to: determine the beamwidth of the antenna beam of the outermost spatial layer in each spatial layer based on the base station antenna gain;

[0186] The number of antenna beams in the outermost spatial layer is determined based on the beamwidth of the antenna beams in the outermost spatial layer.

[0187] The number of antenna beams in the remaining spatial layers of each spatial layer is determined based on the number of antenna beams in the outermost spatial layer.

[0188] In one possible implementation, the second determining module is specifically used to: determine the beamwidth of the antenna beamwidth of the remaining spatial layers based on the beamwidth of the antenna beamwidth of the outermost spatial layer;

[0189] The number of antenna beams in the remaining spatial layer is determined based on the beamwidth of the antenna beams in the remaining spatial layer.

[0190] The processing flow of each module in the device and the interaction flow between each module can be referred to the relevant descriptions in the above method embodiments, and will not be detailed here.

[0191] Corresponding to Figure 1 In addition to the base station signal coverage method, this disclosure also provides an electronic device 800, such as... Figure 8 The diagram shown is a structural schematic of an electronic device 800 provided in an embodiment of this disclosure, including:

[0192] The system includes a processor 81, a memory 82, and a bus 83. The memory 82 stores execution instructions and includes main memory 821 and external memory 822. The main memory 821, also called internal memory, temporarily stores the computational data in the processor 81, as well as data exchanged with external memory such as a hard disk. The processor 81 exchanges data with the external memory 822 through the main memory 821. When the electronic device 800 is running, the processor 81 communicates with the memory 82 through the bus 83, causing the processor 81 to execute the following instructions:

[0193] Obtain the flight attribute information and communication parameters of the drone connected to the base station;

[0194] Based on the flight attribute information, the target airspace where the UAV can access the base station is determined; wherein, the target airspace is the spatial region formed after the base station's antenna emits a beam obliquely upward at the transmission elevation angle;

[0195] Based on the maximum link loss of the base station and the communication parameters, the number of antenna beams for each airspace layer of the target airspace is determined, and the signal coverage strategy of the base station for the target airspace is obtained; wherein the number of antenna beams corresponding to each airspace layer is different.

[0196] This disclosure also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the base station signal coverage method described in the above method embodiments. The storage medium can be a volatile or non-volatile computer-readable storage medium.

[0197] This disclosure also provides a computer program product carrying program code. The program code includes instructions that can be used to execute the steps of the base station signal coverage method described in the above method embodiments. For details, please refer to the above method embodiments, which will not be repeated here.

[0198] The aforementioned computer program product can be implemented through hardware, software, or a combination thereof. In one optional embodiment, the computer program product is specifically embodied in a computer storage medium; in another optional embodiment, the computer program product is specifically embodied in a software product, such as a software development kit (SDK), etc.

[0199] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems and devices described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. In the several embodiments provided in this disclosure, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division; in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection may be through some communication interfaces; the indirect coupling or communication connection of devices or units may be electrical, mechanical, or other forms.

[0200] 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 network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0201] In addition, the functional units in the various embodiments of this disclosure 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.

[0202] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this disclosure, in essence, or the part that contributes to the prior art, or a portion 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 disclosure. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0203] Finally, it should be noted that the above-described embodiments are merely specific implementations of this disclosure, used to illustrate the technical solutions of this disclosure, and not to limit it. The protection scope of this disclosure is not limited thereto. Although this disclosure has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features, within the scope of the technology disclosed in this disclosure. Such modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this disclosure, and should all be covered within the protection scope of this disclosure. Therefore, the protection scope of this disclosure should be determined by the protection scope of the claims.

Claims

1. A method for signal coverage of a base station, characterized in that, include: Obtain the flight attribute information and communication parameters of the drones connected to the base station; Based on the flight attribute information, the target airspace that the UAV can access the base station is determined; wherein, the target airspace is the spatial region formed after the base station's antenna transmits a beam obliquely upward at the transmission elevation angle; Based on the maximum link loss of the base station and the communication parameters, the number of antenna beams in each airspace layer of the target airspace is determined to obtain the signal coverage strategy of the base station for the target airspace; wherein the number of antenna beams corresponding to each airspace layer is different. Based on the communication parameters, the maximum uplink link loss of the UAV is determined; Based on the maximum uplink link loss and the maximum link loss, the maximum downlink link loss of the UAV is determined; Based on the maximum downlink link loss, determine the base station antenna gain of the base station; Based on the base station antenna gain, the number of antenna beams in each spatial layer of the target airspace is determined; Based on the base station antenna gain, the beamwidth of the antenna beam in the outermost spatial layer of each spatial layer is determined; The number of antenna beams in the outermost spatial layer is determined based on the beamwidth of the antenna beams in the outermost spatial layer. The number of antenna beams in the remaining spatial layers of each spatial layer is determined based on the number of antenna beams in the outermost spatial layer.

2. The method according to claim 1, characterized in that, The flight attribute information is a preset flight altitude; the step of determining the target airspace where the UAV can access the base station based on the flight attribute information includes: Obtain the coverage distance of the base station; Based on the preset flight altitude and the coverage distance, the transmission elevation angle of the base station's antenna is determined, and based on the transmission elevation angle, the target airspace is determined.

3. The method according to claim 1 or 2, characterized in that, The method further includes: The coverage distance is input into the free space model for calculation to obtain the maximum link loss of the base station.

4. The method according to claim 1, characterized in that, in, The communication parameters include at least one of the following: the UAV's transmit power and the UAV's receiver sensitivity. Determining the maximum uplink link loss of the UAV based on the communication parameters includes: Based on the receiver sensitivity and uplink transmit power of the UAV in the communication parameters, the maximum uplink link loss of the UAV is determined.

5. The method according to claim 1, characterized in that, Determining the maximum downlink link loss of the UAV based on the maximum uplink link loss and the maximum link loss includes: The difference between the maximum link loss and the maximum uplink link loss is determined as the maximum downlink link loss.

6. The method according to claim 1, characterized in that, Determining the number of antenna beams in the remaining spatial layers of each spatial layer based on the number of antenna beams in the outermost spatial layer includes: Based on the beamwidth of the antenna beam of the outermost spatial layer, the beamwidth of the antenna beam of the remaining spatial layers is determined. The number of antenna beams in the remaining spatial layer is determined based on the beamwidth of the antenna beams in the remaining spatial layer.

7. A signal coverage device for a base station, characterized in that, include: The acquisition module is used to acquire the flight attribute information and communication parameters of the UAV connected to the base station; The first determining module is used to determine, based on the flight attribute information, the target airspace in which the UAV can access the base station; wherein, the target airspace is the spatial region formed after the base station's antenna transmits a beam obliquely upward at the transmission elevation angle; The second determining module is used to determine the number of antenna beams for each airspace layer of the target airspace based on the maximum link loss of the base station and the communication parameters, so as to obtain the signal coverage strategy of the base station for the target airspace; wherein the number of antenna beams corresponding to each airspace layer is different. The second determining module is further configured to determine the maximum uplink link loss of the UAV based on the communication parameters; Based on the maximum uplink link loss and the maximum link loss, the maximum downlink link loss of the UAV is determined; Based on the maximum downlink link loss, determine the base station antenna gain of the base station; Based on the base station antenna gain, the number of antenna beams in each spatial layer of the target airspace is determined; Based on the base station antenna gain, the beamwidth of the antenna beam in the outermost spatial layer of each spatial layer is determined; The number of antenna beams in the outermost spatial layer is determined based on the beamwidth of the antenna beams in the outermost spatial layer. The number of antenna beams in the remaining spatial layers of each spatial layer is determined based on the number of antenna beams in the outermost spatial layer.

8. An electronic device, characterized in that, include: The device includes a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus. When the machine-readable instructions are executed by the processor, they perform the steps of the base station signal coverage method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of the base station signal coverage method as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, The computer program product is stored in a storage medium, and the program product is executed by at least one processor to implement the steps of the base station signal coverage method as described in any one of claims 1 to 6.

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