Simulation and evaluation method and device of low-altitude three-dimensional network and electronic equipment

Abstract

The application discloses a low-altitude three-dimensional network simulation and evaluation method and device and electronic equipment, and relates to the technical field of communication. The method comprises the following steps: determining a center line of a target airspace, and selecting a plurality of sampling points in the target airspace based on the center line, a preset distance step, a plane buffer distance and a preset angle step, wherein the sampling points are uniformly distributed in the target airspace; performing network coverage simulation on the target airspace based on a preset network planning scheme, and collecting simulation data of the sampling points; determining network construction indexes and service indexes based on the simulation data of the sampling points, and determining a network performance evaluation result of the preset network planning scheme based on the network construction indexes and the service indexes. Thus, network simulation and evaluation of dynamic routes or a full three-dimensional space are realized, and the accuracy of network evaluation in a three-dimensional space is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of communication, and particularly relates to a simulation and evaluation method and device for low-altitude three-dimensional network and electronic equipment. BACKGROUND

[0002] With the rapid development of low-altitude economy and the evolution of 5G-Advanced (5G-A) technology, the demand for low-altitude network planning for scenarios such as unmanned aerial vehicle logistics, air traffic management, and emergency communication is increasingly urgent.

[0003] The current simulation and evaluation system for low-altitude communication network (for example, 5G-A) still follows the traditional method of ground mobile communication, that is, the network coverage capability and interference level of a single layer fixed height network are simulated and analyzed based on a two-dimensional plane model. However, for dynamic flight routes or full three-dimensional space related low-altitude business, the network coverage of such low-altitude network business presents significant three-dimensional characteristics, including vertical height layering, multi-elevation angle signal propagation, air-to-air interference, etc. Therefore, the existing two-dimensional evaluation model is not suitable for network evaluation of dynamic routes or full three-dimensional space. SUMMARY

[0004] The main purpose of the present application is to provide a simulation and evaluation method and device for low-altitude three-dimensional network, so as to realize network simulation and evaluation of dynamic routes or full three-dimensional space, and improve the accuracy of network evaluation in three-dimensional space.

[0005] To achieve the above purpose, the present application provides a simulation and evaluation method for low-altitude three-dimensional network, comprising:

[0006] determining a center line of a target airspace, and selecting a plurality of sampling points in the target airspace based on the center line, a preset distance step, a plane buffer distance, and a preset angle step, wherein each sampling point is uniformly distributed in the target airspace;

[0007] performing network coverage simulation on the target airspace based on a preset network planning scheme, and collecting simulation data of each sampling point;

[0008] determining network construction indicators and business indicators based on the simulation data of each sampling point, and determining a network performance evaluation result of the preset network planning scheme based on the network construction indicators and the business indicators.

[0009] Optionally, the sampling points include first sampling points and second sampling points; and the selecting the plurality of sampling points in the target airspace based on the center line, the preset distance step, the plane buffer distance, and the preset angle step includes: sequentially selecting a plurality of the first sampling points along the center line and based on the preset distance step; for any first sampling point, establishing a plane coordinate system with the first sampling point as an origin, determining a sampling boundary line based on the first sampling point and the plane buffer distance by using the plane coordinate system, and sequentially selecting each second sampling point corresponding to the first sampling point on the sampling boundary line based on the preset angle step; and the plane on which the plane coordinate system is located is perpendicular to the center line.

[0010] Optionally, the target airspace is a target air route airspace or a target three-dimensional airspace; and the determining the center line of the target airspace includes: in a case where the target airspace is the target air route airspace, the center line of the target airspace is an air route; and in a case where the target airspace is the target three-dimensional airspace, the center line of the target airspace is composed of a plurality of preset test points.

[0011] Optionally, before the network coverage simulation of the target airspace based on the preset network planning scheme, the method further includes: obtaining spatial coordinates of each first sampling point; and for any first sampling point, obtaining plane coordinates of each second sampling point corresponding to the first sampling point in a corresponding plane coordinate system, and determining spatial coordinates of each second sampling point based on the plane coordinates of each second sampling point and the spatial coordinates of the first sampling point.

[0012] Optionally, the network coverage simulation of the target airspace based on the preset network planning scheme and the collection of simulation data of each sampling point include: inputting configuration parameters in the preset network planning scheme and location information of the target airspace into a preset simulation software, and simulating running of each site in the preset network planning scheme by using the preset simulation software; and obtaining simulation data of each first sampling point and simulation data of each second sampling point from the preset simulation software based on the spatial coordinates of each first sampling point and the spatial coordinates of each second sampling point.

[0013] Optionally, the simulation data include a received level, a carrier-to-interference ratio, and terminal transmission power; and the determining the network construction index and the service index based on the simulation data of each sampling point includes: determining the network construction index based on the simulation data of each first sampling point and the simulation data of each second sampling point by using formulas (1) and (2) as follows:

[0014]

[0015] In the formulas, R is the network construction index, R1 is the received level, R2 is the carrier-to-interference ratio, R3 is the terminal transmission power, R4 is the service index, R5 is the received level, R6 is the carrier-to-interference ratio, R7 is the terminal transmission power, and R8 is the service index. a network construction index; a first condition parameter of the i th sampling point; and N is a total number of the sampling points; a receiving level of the i th sampling point; a standard receiving level; a carrier-to-interference ratio of the i th sampling point; a standard carrier-to-interference ratio; a terminal transmission power of the i th sampling point; a standard terminal transmission power.

[0016] Optionally, the simulation data includes uplink rates and downlink rates; and the network construction index and the service index are determined based on the simulation data of each of the sampling points, including: determining the service index based on the simulation data of each of the first sampling points and the simulation data of each of the second sampling points by using the following formulas (3) and (4):

[0017]

[0018] In the formulas, R is the service index; R i is the uplink rate of the i th sampling point; R is a standard uplink rate; R is the downlink rate of the i th sampling point; and R is a standard downlink rate. a second condition parameter of the i th sampling point; and N is a total number of the sampling points; an uplink rate of the i th sampling point; a standard uplink rate; a downlink rate of the i th sampling point; a standard downlink rate.

[0019] Optionally, the configuration parameter in the preset network planning scheme includes a center frequency point; and the preset distance step is determined based on the center frequency point and by using the following formula (5):

[0020]

[0021] In the formula, L is the preset distance step; c is the speed of light; and f is the center frequency point.

[0022] In addition, to achieve the above object, the application further provides a simulation and evaluation device for a low-altitude three-dimensional network, including: a determination module, configured to determine a center line of a target airspace, and select a plurality of sampling points in the target airspace based on the center line, a preset distance step, a plane buffer distance, and a preset angle step, and each of the sampling points is uniformly distributed in the target airspace; a simulation module, configured to perform network coverage simulation on the target airspace based on a preset network planning scheme, and collect simulation data of each of the sampling points; and an evaluation module, configured to determine a network construction index and a service index based on the simulation data of each of the sampling points, and determine a network performance evaluation result of the preset network planning scheme based on the network construction index and the service index. ​

[0023] The application further provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the simulation and evaluation method of the low-altitude stereoscopic network according to any one of the above when executing the program.

[0024] The simulation and evaluation method of the low-altitude stereoscopic network according to the application achieves global sampling of the stereoscopic space by taking the center line of the target airspace as a reference and uniformly selecting a plurality of sampling points in the target airspace based on a preset distance step and a preset angle step; then, simulation and modeling are performed based on a preset network planning scheme to obtain simulation data of the sampling points, and the network coverage of the position of the sampling point can be known based on the simulation data of the sampling point; finally, two network construction indexes and service indexes for evaluating the network coverage of the preset network planning scheme are obtained based on the simulation data of the sampling points; since the sampling points are distributed in different height layers and different azimuth angles in the target airspace according to the spatial topology rule, the simulation data of each sampling point can accurately reflect the network coverage state of the local space where the sampling point is located, and then the network construction indexes and service indexes generated by the simulation data of the sampling points completely eliminate the spatial blind area of the traditional two-dimensional model, ensuring that the evaluation result can completely represent the overall network performance of the low-altitude target airspace and improving the evaluation accuracy. BRIEF DESCRIPTION OF DRAWINGS

[0025] Figure 1 FIG. 1 is one of the flowcharts of the simulation and evaluation method of the low-altitude stereoscopic network according to the embodiments of the application;

[0026] Figure 2 FIG. 2 is another of the flowcharts of the simulation and evaluation method of the low-altitude stereoscopic network according to the embodiments of the application;

[0027] Figure 3 FIG. 3 is a schematic diagram of the center line and the first sampling point according to one example of the application;

[0028] Figure 4 FIG. 4 is a schematic diagram of the planar coordinate system and the second sampling point according to one example of the application;

[0029] Figure 5 FIG. 5 is a third of the flowcharts of the simulation and evaluation method of the low-altitude stereoscopic network according to the embodiments of the application;

[0030] Figure 6 FIG. 6 is a fourth of the flowcharts of the simulation and evaluation method of the low-altitude stereoscopic network according to the embodiments of the application;

[0031] Figure 7 FIG. 7 is a schematic diagram of the simulation and evaluation device of the low-altitude stereoscopic network according to the embodiments of the application;

[0032] Figure 8 FIG. 8 illustrates an example of the physical structure of an electronic device;

[0033] In the figure, 700, simulation and evaluation device of low-altitude three-dimensional network; 710, determination module; 720, simulation module; 730, evaluation module; 810, processor; 820, communication interface; 830, memory; 840, communication bus.

[0034] The implementation, functional features and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0035] To make the purpose, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be described clearly and completely below with reference to the embodiments in the present application and the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0036] With the evolution of mobile communication technology from 5G to 5G-Advanced (5G-A) and 6G, network coverage scenarios are extending from traditional two-dimensional ground planes to low-altitude three-dimensional space. 5G-A provides a technical foundation for emerging businesses such as unmanned logistics, air traffic management, and low-altitude emergency communication by introducing large-scale antenna arrays, millimeter wave frequency bands, and ultra-reliable low-latency enhancement technologies. However, current planning and evaluation methods for low-altitude networks are still severely lagging behind technological development: existing network planning and evaluation schemes generally follow two-dimensional simulation models of ground-based cellular networks, which can only simulate and evaluate signal coverage and interference conditions above 1.5 meters above the ground.

[0037] It can be seen that the existing two-dimensional evaluation model has fundamental limitations: on the one hand, it ignores the differences in signal attenuation and spatial interference superposition effects in the height dimension, resulting in serious distortion in the prediction of key performance indicators such as network capacity, latency, and handover success rate; on the other hand, the traditional "surface coverage" evaluation mode cannot adapt to three-dimensional space application scenarios such as air routes, making it difficult for planning results to reflect network performance in real low-altitude business scenarios. This two-dimensional plane evaluation method has insufficient applicability in three-dimensional space, not only reducing the accuracy of network deployment, but also possibly causing major safety hazards such as air communication interruption and loss of control signals. Therefore, a new simulation and evaluation method is urgently needed to better evaluate network performance in three-dimensional space such as air routes, thereby providing protection for the development of businesses.

[0038] To this end, the embodiment of the present application provides a simulation and evaluation method, device and electronic equipment of a low-altitude three-dimensional network. The simulation and evaluation method of the low-altitude three-dimensional network according to the embodiment of the present application can uniformly select sampling points in a target airspace, so that simulation data at each position in the target airspace can be obtained during simulation and simulation, and then network performance evaluation of a dynamic route or a full three-dimensional space can be realized according to the simulation data, thereby improving the accuracy of network evaluation in a three-dimensional space.

[0039] Figure 1 is one of the flowcharts of the simulation and evaluation method of the low-altitude three-dimensional network according to the embodiment of the present application. As shown in Figure 1 , the simulation and evaluation method of the low-altitude three-dimensional network can include the following steps:

[0040] Step 110: determining a center line of a target airspace, and selecting a plurality of sampling points in the target airspace based on the center line, a preset distance step, a plane buffer distance and a preset angle step, each sampling point being uniformly distributed in the target airspace.

[0041] Step 120: performing network coverage simulation and simulation of the target airspace based on a preset network planning scheme, and collecting simulation data of each sampling point.

[0042] Step 130: determining network construction indicators and service indicators based on the simulation data of each sampling point, and determining a network performance evaluation result of the preset network planning scheme based on the network construction indicators and the service indicators.

[0043] First of all, it should be noted that the execution subject of the simulation and evaluation method of the low-altitude three-dimensional network according to the embodiment of the present application can be any electronic equipment, and the processor in the electronic equipment is configured with the application program of the simulation and evaluation method. In addition, the simulation and evaluation method of the low-altitude three-dimensional network according to the embodiment of the present application can be applied in the application scenarios of low-altitude communication network construction of urban air traffic corridors, unmanned aerial vehicle logistics distribution and the like, and can also be applied in the application scenarios of low-altitude communication network construction of fixed three-dimensional spaces such as intelligent manufacturing factories and three-dimensional warehouses.

[0044] When simulating and evaluating the low-altitude three-dimensional network, the target airspace of the low-altitude communication network (5G-A) needs to be determined first. In the embodiment, any airspace that needs to build a low-altitude communication network and needs to evaluate the performance of the low-altitude communication network can be regarded as a target airspace. For example, the target airspace can be the airspace where the unmanned aerial vehicle route is located, the airspace where the three-dimensional warehouse is located, etc. The height range of the target airspace can be, for example, 50m to 600m above the ground, and the height range of the target airspace is not limited here.

[0045] After the target airspace is determined, the target airspace related position information and the preset network planning scheme designed by the staff based on the network coverage planning of the target airspace can be obtained. Specifically, the target airspace related position information can include longitude and latitude and height information of key position points. For example, if the target airspace is the airspace where the flight route is located, the key position points can be the flight route points, and the longitude, latitude and height information of each flight route point can be obtained in advance. If the target airspace is a fixed three-dimensional space, the key position points can be some preset test points, and the longitude, latitude and height information of each preset test point can be obtained in advance.

[0046] Further, the preset network planning scheme designed by the staff for the target airspace can also be directly obtained. The preset network planning scheme refers to the systematic parameter configuration and device deployment strategy prepared in advance based on the business demand, geographical environment and network performance target of the target airspace before the construction of the low-altitude three-dimensional communication network. The main purpose of the embodiment of the present application is to evaluate the feasibility of the preset network planning scheme and determine whether the preset network planning scheme meets the demand.

[0047] The preset network planning scheme can include configuration parameters such as coverage sector name, base station site name, longitude, latitude, antenna signal, antenna hanging height, azimuth angle, electronic downtilt angle, pilot single antenna port transmit power and center frequency point. These configuration parameters will directly affect the coverage performance, capacity, interference level and service quality of the low-altitude network.

[0048] The communication network planned by the preset network planning scheme should be able to cover the required network coverage area. It can be understood that for the low-altitude communication network (for example, 5G-A), if the target airspace is the airspace where the unmanned aerial vehicle flight route is located, the unmanned aerial vehicle usually flies along the flight route as the center line, but due to factors such as positioning accuracy and wind, the unmanned aerial vehicle usually flies within a certain range above, below, left and right of the center line, so the network coverage area planned by the preset network planning scheme needs to cover the space area when the unmanned aerial vehicle flies within the range, so as to ensure that the unmanned aerial vehicle can continuously obtain network service during flight.

[0049] Based on this, the embodiment determines the required network coverage area based on the center line and the planar buffer distance d c of the target airspace. Specifically, the target airspace center line can be taken as the reference to determine the required network coverage area with the planar buffer distance as the radius. The network coverage area determined in this way is a "cylindrical" area.

[0050] Table 1 Correspondence table between business demand level and planar buffer distance

[0051]

[0052] In addition, the planar buffer distance d cThe business demand level can be determined according to business needs. Table 1 takes the target airspace as an example of the airspace where the UAV route is located, and shows the correspondence between the business demand level and the planar buffer distance d c . As shown in Table 1, the higher the business demand level, the larger the selected planar buffer distance. It should be noted that the values of the planar buffer distance in Table 1 are only examples, and the specific values of the planar buffer distance can be set by staff according to actual needs.

[0053] After determining the position information related to the target airspace and the preset network planning scheme for the target airspace, the simulation and evaluation process of the low-altitude three-dimensional network can be performed.

[0054] In this embodiment, a center line of a target airspace can be determined first, and the simulation and evaluation method of this embodiment is mainly implemented based on this center line. Since the target airspace can be an irregularly shaped airspace, the center line of the target airspace can be composed of multiple line segments.

[0055] In some embodiments, the target airspace is a target route airspace or a target three-dimensional airspace; determining the center line of the target airspace can include: in the case where the target airspace is a target route airspace, the center line of the target airspace is a route; in the case where the target airspace is a target three-dimensional airspace, the center line of the target airspace is composed of a plurality of preset test points.

[0056] Specifically, the target airspace in this embodiment can be a target route airspace or a target three-dimensional airspace, i.e., the target airspace is divided into two types of airspace, i.e., a route located airspace and a fixed three-dimensional space, and the center line determination methods of these two types of airspace are different. If the target airspace is a target route airspace, the route can be directly taken as the center line, and subsequent simulation and evaluation are also based on the route. If the target airspace is a target three-dimensional airspace, some key position points can be set as preset test points by staff, and the center line of the target three-dimensional airspace can be obtained by connecting these preset test points.

[0057] In some embodiments, the above-mentioned way of obtaining position information related to the target airspace can also be: obtaining position information in a "segmented" manner based on the center line of the target airspace. Specifically, the inflection points of the center line can be taken as segmentation points to divide the center line into multiple line segments, and then the position information related to each line segment is obtained. As an example, if the target airspace is a target route airspace, the relevant position information of each route segment, such as the starting longitude, the starting latitude, the starting flight height, the ending longitude, the ending latitude, and the ending flight height, can be obtained.

[0058] After determining the centerline of the target airspace, multiple sampling points can be selected within the network coverage area of ​​the target airspace based on the centerline, a preset distance step size, a planar buffer distance, and a preset angle step size. In this embodiment, sampling points can be selected from two dimensions: longitudinal and transverse. The longitudinal direction is perpendicular to the centerline, meaning sampling points are selected on sections perpendicular to the centerline to ensure network performance in the height dimension of the target airspace is obtained. The transverse direction is either consistent with or parallel to the centerline. This embodiment follows a method of first determining transverse sampling points and then determining sampling points on the longitudinal section. Sampling points selected in this way will have some located on the centerline and others distributed at various azimuth angles of the centerline, thus ensuring that all sampling points are evenly distributed within the network coverage area.

[0059] Figure 2 This is the second flowchart of the simulation and evaluation method for low-altitude three-dimensional networks according to an embodiment of this application.

[0060] like Figure 2 As shown, in some embodiments, the sampling points include a first sampling point and a second sampling point. Step 110, which selects multiple sampling points in the target airspace based on the centerline, a preset distance step size, a plane buffer distance, and a preset angle step size, may include the following steps:

[0061] Step 210: Select multiple first sampling points sequentially along the center line based on a preset distance step size.

[0062] Step 220: For any first sampling point, establish a plane coordinate system with the first sampling point as the origin, use the plane coordinate system and the plane buffer distance to determine the sampling boundary line, and select each second sampling point corresponding to the first sampling point on the sampling boundary line according to the preset angle step size; wherein, the plane of the plane coordinate system is perpendicular to the center line.

[0063] In this embodiment, multiple first sampling points can be selected laterally along the center line, and these first sampling points can be denoted as D. m0 (m=1, 2, ..., M), where M is the total number of the first sampling points. Specifically, starting from the beginning position of the center line, the first sampling points can be selected segment by segment (i.e., the line segments obtained after the above segmentation process) according to a preset distance step size, until the selection stops at the end position of the center line.

[0064] Figure 3 This is a schematic diagram of the centerline and the first sampling point in an example of this application. (See diagram below.) Figure 3 As shown, as an example, Figure 3 The centerline can be divided into three segments according to the inflection point. If the preset distance step size is 10m, the first sampling point is selected for each segment in sequence according to the step size of 10m.

[0065] In some embodiments, the configuration parameter in the preset network planning scheme comprises a center frequency point; the preset distance step is determined based on the center frequency point and by using the following formula (5):

[0066]

[0067] In the formula, L is the preset distance step; c is the speed of light; and f is the center frequency point (unit: MHz). For example, if the center frequency point is 3.5 GHz, L is 3.43 m.

[0068] It can be understood that if the preset distance step is large, the position with weak signal in the target airspace is likely to be unable to be calculated, and thus the evaluation accuracy is reduced. If the preset distance step is small, the calculation amount is large, and the evaluation efficiency is relatively low. Therefore, in order to improve the evaluation accuracy, the preset distance step is determined based on the center frequency point and the speed of light in the preset network planning scheme, and the influence of the propagation speed of electromagnetic waves in the air and the frequency on the signal coverage range is considered. The preset distance step determined in this way can balance the evaluation accuracy and the calculation amount, so that the selection of the sampling points can cover the area with weak signal in the target airspace, and the calculation amount is not too large to affect the evaluation efficiency.

[0069] Further, after the first sampling points are determined, a plurality of second sampling points corresponding to each first sampling point can be determined. Hereinafter, the determination of the second sampling points corresponding to a first sampling point is introduced by taking the first sampling point as an example.

[0070] In this embodiment, each second sampling point is located in the plane in which the first sampling point is located and perpendicular to the center line. Based on this, a plane coordinate system can be established with the first sampling point as the origin, and the plane in which the plane coordinate system is located (i.e., the plane formed by two coordinate axes of the plane coordinate system) is perpendicular to the center line. Further, a sampling boundary line can be determined by drawing a circle with the first sampling point as the center and the preset buffer distance as the radius, and the sampling boundary line is a circle. Finally, a second sampling point is selected every preset angle step, and thus the second sampling points corresponding to the first sampling point can be obtained. The second sampling points can be denoted as D mj (j=1, 2, …, J), J is the total number of the second sampling points corresponding to the mth first sampling point, and the preset angle step can be denoted as a.

[0071] It should be noted that the preset angle step can be artificially set by the staff according to the actual needs, and the preset angle step is not specifically limited here. For example, the preset angle step can be 30°, 45°, etc. If the evaluation standard is high, the preset angle step can be selected as 30°.

[0072] Figure 4is a schematic diagram of a planar coordinate system and second sampling points of one example of the present application. As shown in Figure 4 As an example, if the preset angle step a is 45°, eight second sampling points can be determined on the sampling boundary line according to the preset angle step, which are D m1 , D m2 , D m3 , D m4 , D m5 , D m6 , D m7 , and D m8 , respectively.

[0073] Figure 5 is a flowchart of a simulation and evaluation method of a low-altitude three-dimensional network according to an embodiment of the present application.

[0074] As shown in Figure 5 , in some embodiments, before the simulation and evaluation method simulates network coverage of the target airspace based on the preset network planning scheme and collects simulation data of each sampling point in step 120, the simulation and evaluation method can further include the following steps:

[0075] Step 510: Obtain the spatial coordinates of each first sampling point.

[0076] Step 520: For any first sampling point, obtain the planar coordinates of each second sampling point corresponding to the first sampling point in the corresponding planar coordinate system, and determine the spatial coordinates of each second sampling point based on the planar coordinates of each second sampling point and the spatial coordinates of the first sampling point.

[0077] Specifically, after determining each first sampling point, the above-mentioned obtaining of the location information related to the target airspace can also be: only obtaining the spatial coordinates of each first sampling point, which include the longitude, latitude, and height of the first sampling point. Alternatively, after segmentation based on the foregoing manner, data processing is performed according to a preset distance step to obtain the spatial coordinates of the first sampling point.

[0078] Further, after obtaining the spatial coordinates of the first sampling point, the spatial coordinates of each second sampling point can be determined based on the spatial coordinates of the first sampling point and the planar coordinates of each second sampling point. Specifically, taking one first sampling point as an example, the planar coordinates of each second sampling point corresponding to the first sampling point in the planar coordinate system can be represented as: D mj (d c ×sin(α×(j-1)), d c ×cos(α×(j-1)), where D mj is the jth second sampling point corresponding to the mth first sampling point, d c is the planar buffer distance, and a is the preset angle step.

[0079] The planar coordinates of the second sampling points are determined based on the first sampling points, and thus the spatial coordinates of the second sampling points can be determined based on the spatial coordinates of the first sampling points. In the embodiment, the planar coordinates of the second sampling points can be converted into spatial coordinates based on the spatial coordinates of the first sampling points and the positional relationship between the first sampling points and the second sampling points in the planar coordinate system. The conversion manner can adopt the existing coordinate conversion manner, which will not be described herein.

[0080] After obtaining the spatial coordinates of the first sampling points and the spatial coordinates of the second sampling points, the network coverage simulation of the target airspace based on the preset network planning scheme can be performed.

[0081] Figure 6 FIG. 4 is a flowchart of a fourth embodiment of the simulation and evaluation method of the low-altitude three-dimensional network.

[0082] As shown in FIG. 6, in some embodiments, the step 120 of performing the network coverage simulation of the target airspace based on the preset network planning scheme and collecting the simulation data of each sampling point can include the following steps: Figure 6

[0083] Step 610: inputting the configuration parameters in the preset network planning scheme and the positional information of the target airspace into the preset simulation software, and simulating the operation of each station in the preset network planning scheme by using the preset simulation software.

[0084] Step 620: obtaining the simulation data of each first sampling point and the simulation data of each second sampling point from the preset simulation software based on the spatial coordinates of each first sampling point and the spatial coordinates of each second sampling point.

[0085] Specifically, after obtaining the spatial coordinates of each first sampling point and the spatial coordinates of each second sampling point, the above-mentioned configuration parameters in the preset network planning scheme and the positional information of the target airspace can be input into the preset simulation software, so that the preset simulation software performs low-altitude network station modeling based on the above-mentioned data. It should be noted that the positional information input into the target airspace can be only the spatial coordinates of each first sampling point and the spatial coordinates of each second sampling point, and can also be the positional information of each line segment obtained after the above-mentioned center line is segmented. In addition, the preset simulation software can be any simulation software for low-altitude network simulation at present, for example, Atoll, WinProp, etc.

[0086] ​The preset simulation software can model each site in the preset network planning scheme and simulate the operation of each site, thereby simulating the actual low-altitude network coverage. During the simulation, the preset simulation software considers various factors, such as electromagnetic wave propagation characteristics, network topology, site transmission power, antenna directivity, and the like, to generate simulation data for each sampling point. The simulation data includes, but is not limited to, received level, carrier-to-interference ratio, terminal transmission power, uplink rate, and downlink rate, and the like, which are key performance indicators and can comprehensively reflect the network coverage and performance.

[0087] Specifically, when obtaining the simulation data of each sampling point, the preset simulation software can output the corresponding simulation data according to the spatial coordinates of each first sampling point and the spatial coordinates of each second sampling point. In this way, the network performance indicators at each position in the target airspace can be accurately obtained, providing data support for subsequent network evaluation.

[0088] After obtaining the simulation data of each sampling point, the evaluation stage can be entered. The purpose of evaluation is to determine whether the preset network planning scheme meets the business requirements according to the simulation data. In this embodiment, some evaluation indicators and thresholds can be preset, and then the simulation data is compared with these evaluation indicators to determine whether the network performance meets the standard. If the simulation data indicates that the network performance cannot meet the business requirements, the preset network planning scheme needs to be adjusted, and the simulation and evaluation are performed again until the best network planning scheme that meets the business requirements is found.

[0089] In this embodiment, the simulation data of each sampling point is converted into network building indicators and business indicators, and then the network performance is evaluated through the network building indicators and business indicators. After conversion, the network coverage and performance can be more intuitively understood, thereby more accurately evaluating the pros and cons of the preset network planning scheme.

[0090] In some embodiments, determining the network building indicators and business indicators based on the simulation data of each sampling point in step 130 can include determining the network building indicators based on the simulation data of each first sampling point and the simulation data of each second sampling point by using the following formulas (1) and (2):

[0091]

[0092] In the formula, the network building indicators are: is the first condition parameter of the ith sampling point; and N is the total number of sampling points. is the received level of the ith sampling point; is the standard received level; is the carrier-to-interference ratio of the ith sampling point; is the standard carrier-to-interference ratio; ​terminal transmit power of the i th sampling point; standard terminal transmit power.

[0093] Specifically, after obtaining the received level, carrier-to-interference ratio and terminal transmit power of each first sampling point and each second sampling point, the received level, carrier-to-interference ratio and terminal transmit power of each sampling point can be substituted into formula (1) first. The meaning of formula (1) is that if the difference between the received level of the sampling point and the standard received level is greater than or equal to -115, and the difference between the carrier-to-interference ratio of the sampling point and the standard carrier-to-interference ratio is greater than or equal to -3, and the difference between the terminal transmit power of the sampling point and the standard terminal transmit power is greater than or equal to 23, then the first condition parameter corresponding to the sampling point is recorded as 1; if the received level, carrier-to-interference ratio and terminal transmit power of the sampling point do not satisfy the conditions in formula (1), then the first condition parameter corresponding to the sampling point is recorded as 0.

[0094] Further, the first condition parameters of all sampling points are substituted into formula (2) again. The meaning of formula (2) is that the sum of the first condition parameters of all sampling points is the number of sampling points satisfying the above three conditions, and the number of sampling points satisfying the above three conditions divided by the total number of sampling points is the network construction index.

[0095] In some embodiments, the determination of the network construction index and the service index based on the simulation data of each sampling point in step 130 can further include: determining the service index based on the simulation data of each first sampling point and the simulation data of each second sampling point by using formula (3) and formula (4) as follows:

[0096]

[0097] In the formula, service index; second condition parameter of the i th sampling point; N is the total number of sampling points; uplink rate of the i th sampling point; standard uplink rate; downlink rate of the i th sampling point; standard downlink rate.

[0098] Specifically, after obtaining the uplink rate and downlink rate of each first sampling point and each second sampling point, the uplink rate and downlink rate of each sampling point can be substituted into formula (3) first. The meaning of formula (3) is that if the difference between the uplink rate of the sampling point and the standard uplink rate is greater than or equal to 25, and the difference between the downlink rate of the sampling point and the standard downlink rate is greater than or equal to 50, then the second condition parameter corresponding to the sampling point is recorded as 1; if the uplink rate and downlink rate of the sampling point do not satisfy the conditions in formula (3), then the second condition parameter corresponding to the sampling point is recorded as 0.

[0099] Further, the second condition parameter of all the sampling points is substituted into formula (4), and the meaning of formula (4) is that the number of sampling points satisfying the above two conditions can be obtained by summing the second condition parameters of all the sampling points, and the service index can be obtained by dividing the number of sampling points satisfying the above two conditions by the total number of sampling points.

[0100] It should be noted that the standard receiving level, the standard carrier-to-interference ratio, the standard terminal transmission power, the standard uplink rate and the standard downlink rate can be determined through multiple projects and test analysis, and the standard receiving level, the standard carrier-to-interference ratio, the standard terminal transmission power, the standard uplink rate and the standard downlink rate can also be set to different values based on the service demand level. The service demand level here is the same as the service demand level used to select the plane buffer distance in the foregoing embodiment. If the plane buffer distance is selected at a high level, the values corresponding to the high level are also used when selecting the standard receiving level, the standard carrier-to-interference ratio, the standard terminal transmission power, the standard uplink rate and the standard downlink rate.

[0101] As an example, Table 2 illustrates the correspondence between the service demand level and the above-mentioned standard parameters. It should be noted that the values of the standard parameters in Table 2 are only an example, and the specific values can be set by the staff according to actual needs.

[0102] Table 2 Correspondence between service demand level and standard parameters

[0103]

[0104] Further, after obtaining the network construction index and the service index, the network performance can be evaluated according to the network construction index and the service index. In this embodiment, threshold values corresponding to the network construction index and the service index are set. If the network construction index and the service index both reach the preset threshold values, it can be considered that the preset network planning scheme meets the service demand and has high feasibility, and at this time, the relevant site scheme and evaluation effect are submitted. On the contrary, if the network construction index and the service index do not reach the preset threshold values, it means that the preset network planning scheme has deficiencies and needs to be optimized and adjusted. The optimization method can include adjusting the position, transmission power and antenna directivity of the network site, or re-planning the network topology to improve the network coverage rate and performance.

[0105] It should be noted that the threshold values corresponding to the network construction index and the service index can be set by the staff according to actual needs. For example, the threshold value corresponding to the network construction index can be 0.95, and the threshold value corresponding to the service index can be 1.

[0106] In the optimization adjustment process, the simulation and evaluation method of the low-altitude stereoscopic network provided in the embodiments of the present application can be used again for simulation and evaluation, so as to verify the optimized network planning scheme. In this way, the optimal network planning scheme can be gradually approached, and it is ensured that the final scheme can meet the actual business requirements, thereby providing strong support for the construction and operation of the low-altitude stereoscopic network.

[0107] Therefore, by the above method, various factors in the target airspace can be considered comprehensively, the low-altitude network coverage can be accurately simulated, and the network performance can be accurately evaluated based on the simulation data. This not only improves the efficiency of network planning, but also ensures that the final network planning scheme has high feasibility and practicability. At the same time, the method can flexibly adjust the standard parameters according to the business demand level, further enhancing its applicability and flexibility, and providing strong support for the construction and operation of the low-altitude stereoscopic network.

[0108] Based on the above embodiments, the embodiments of the present application further provide a simulation and evaluation device of a low-altitude stereoscopic network. Figure 7 is a schematic diagram of the simulation and evaluation device of the low-altitude stereoscopic network of the embodiments of the present application. As shown in Figure 7 The simulation and evaluation device 700 of the low-altitude stereoscopic network can include a determination module 710, a simulation module 720, and an evaluation module 730.

[0109] The determination module 710 is configured to determine the center line of the target airspace, and select a plurality of sampling points in the target airspace based on the center line, the preset distance step, and the preset angle step, and the sampling points are uniformly distributed in the target airspace. The simulation module 720 is configured to perform network coverage simulation and simulation on the target airspace based on the preset network planning scheme, and collect simulation data of each sampling point. The evaluation module 730 is configured to determine the network construction index and the business index based on the simulation data of each sampling point, and determine the network performance evaluation result of the preset network planning scheme based on the network construction index and the business index.

[0110] Thus, the determining module 710 realizes the global sampling of the three-dimensional space by taking the center line of the target airspace as a reference and uniformly selecting a plurality of sampling points in the target airspace based on a preset distance step and a preset angle step; the simulation module 720 simulates the preset network planning scheme for the target airspace to obtain simulation data of the sampling points, and the network coverage of the positions of the sampling points can be known based on the simulation data of the sampling points; finally, the evaluation module 730 obtains two network construction indicators and service indicators for evaluating the network coverage of the preset network planning scheme based on the simulation data of the sampling points; since the sampling points are distributed in different height layers and different azimuth angles in the target airspace according to the spatial topological law, the simulation data of each sampling point can accurately reflect the network coverage state of the local space where the sampling point is located, and the network construction indicators and service indicators generated by the simulation data of the sampling points completely eliminate the spatial blind area of the traditional two-dimensional model, ensuring that the evaluation result can completely represent the overall network performance of the low-altitude target airspace and improving the evaluation accuracy.

[0111] In some embodiments, the sampling points include first sampling points and second sampling points; and the determining module 710 is specifically configured to: sequentially select a plurality of first sampling points along the center line and based on a preset distance step; for any first sampling point, establish a plane coordinate system with the first sampling point as the origin, determine a sampling boundary line based on the first sampling point and a plane buffer distance by using the plane coordinate system, and sequentially select each second sampling point corresponding to the first sampling point on the sampling boundary line based on a preset angle step; and the plane of the plane coordinate system is perpendicular to the center line.

[0112] In some embodiments, the target airspace is a target route airspace or a target three-dimensional airspace; and the determining module 710 is further specifically configured to: in the case where the target airspace is a target route airspace, the center line of the target airspace is a route; and in the case where the target airspace is a target three-dimensional airspace, the center line of the target airspace is composed of a plurality of preset test points.

[0113] In some embodiments, the determining module 710 is further specifically configured to: obtain the spatial coordinates of each first sampling point; for any first sampling point, obtain the plane coordinates of each second sampling point corresponding to the first sampling point in the corresponding plane coordinate system, and determine the spatial coordinates of each second sampling point based on the plane coordinates of each second sampling point and the spatial coordinates of the first sampling point.

[0114] In some embodiments, the simulation module 720 is specifically configured to: input the configuration parameters in the preset network planning scheme and the position information of the target airspace into a preset simulation software, and simulate the operation of each station in the preset network planning scheme by using the preset simulation software; and obtain the simulation data of each first sampling point and the simulation data of each second sampling point from the preset simulation software based on the spatial coordinates of each first sampling point and the spatial coordinates of each second sampling point.

[0115] In some embodiments, the simulation data comprises a receiving level, a carrier-to-interference ratio, and a terminal transmitting power; the evaluation module 730 is specifically configured to determine the network construction index based on the simulation data of each first sampling point and the simulation data of each second sampling point by using the following formula (1) and formula (2):

[0116]

[0117] wherein, is the network construction index; is the first conditional parameter of the ithsampling point; and N is the total number of sampling points; is the receiving level of the ithsampling point; is a standard receiving level; is the carrier-to-interference ratio of the ithsampling point; is a standard carrier-to-interference ratio; is the terminal transmitting power of the ithsampling point; is a standard terminal transmitting power.

[0118] In some embodiments, the simulation data comprises an uplink rate and a downlink rate; the evaluation module 730 is further specifically configured to determine the service index based on the simulation data of each first sampling point and the simulation data of each second sampling point by using the following formula (3) and formula (4):

[0119]

[0120] wherein, is the service index; is the second conditional parameter of the ithsampling point; and N is the total number of sampling points; is the uplink rate of the ithsampling point; is a standard uplink rate; is the downlink rate of the ithsampling point; is a standard downlink rate.

[0121] In some embodiments, the configuration parameter in the preset network planning scheme comprises a center frequency point; the determination module 710 is further specifically configured to determine the preset distance step based on the center frequency point by using the following formula (5):

[0122]

[0123] wherein, L is the preset distance step; c is the speed of light; and f is the center frequency point.

[0124] It should be noted that the details of the low-altitude three-dimensional network simulation and evaluation device of the embodiment are not disclosed, please refer to the details disclosed in the embodiment of the low-altitude three-dimensional network simulation and evaluation method of the embodiment of the present application, which will not be repeated here.

[0125] On the basis of the above-mentioned embodiments, Figure 8 An example of an entity structure diagram of an electronic device is shown as Figure 8 As shown, the electronic device can include a processor 810, a communication interface 820, a memory 830, and a communication bus 840, wherein the processor 810, the communication interface 820, and the memory 830 communicate with each other through the communication bus 840. The processor 810 can invoke the logical instructions in the memory 830 to execute the low-altitude three-dimensional network simulation and evaluation method, which includes determining the center line of the target airspace, and selecting a plurality of sampling points in the target airspace based on the center line, the preset distance step, the plane buffer distance, and the preset angle step, each sampling point being uniformly distributed in the target airspace; simulating network coverage in the target airspace based on a preset network planning scheme, and collecting simulation data of each sampling point; determining network construction indicators and service indicators based on the simulation data of each sampling point, and determining network performance evaluation results of the preset network planning scheme based on the network construction indicators and the service indicators.

[0126] In addition, the logical instructions in the memory 830 described above can be implemented in the form of a software function unit and sold or used as an independent product, which can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the part of the prior art that essentially contributes or the part of the technical solutions can be embodied in the form of a software product, which is stored in a storage medium and includes a plurality of instructions for causing 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 the embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk, and various program code storage media.

[0127] On the basis of the above-mentioned embodiments, in another aspect, the present application also provides a computer program product, the computer program product comprising a computer program, the computer program being stored on a non-transitory computer-readable storage medium, and the computer program being executable by a processor to enable a computer to perform the simulation and evaluation method of the low-altitude three-dimensional network provided by the above-mentioned methods, the method comprising: determining a center line of a target airspace, and selecting a plurality of sampling points in the target airspace based on the center line, a preset distance step, a plane buffer distance, and a preset angle step, each sampling point being uniformly distributed in the target airspace; performing network coverage simulation of the target airspace based on a preset network planning scheme, and collecting simulation data of each sampling point; determining network construction indicators and service indicators based on the simulation data of each sampling point, and determining a network performance evaluation result of the preset network planning scheme based on the network construction indicators and the service indicators.

[0128] On the basis of the above-mentioned embodiments, in another aspect, the present application also provides a non-transitory computer-readable storage medium having a computer program stored thereon, the computer program being executable by a processor to implement the simulation and evaluation method of the low-altitude three-dimensional network provided by the above-mentioned methods, the method comprising: determining a center line of a target airspace, and selecting a plurality of sampling points in the target airspace based on the center line, a preset distance step, a plane buffer distance, and a preset angle step, each sampling point being uniformly distributed in the target airspace; performing network coverage simulation of the target airspace based on a preset network planning scheme, and collecting simulation data of each sampling point; determining network construction indicators and service indicators based on the simulation data of each sampling point, and determining a network performance evaluation result of the preset network planning scheme based on the network construction indicators and the service indicators.

[0129] The apparatus embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the present embodiment scheme according to actual needs. Those skilled in the art can understand and implement it without creative labor.

[0130] Those skilled in the art can clearly understand the implementation of the embodiments by the description of the above embodiments. The embodiments can be implemented by means of software and necessary universal hardware platforms, and of course, can also be implemented by hardware. Based on such understanding, the above technical solutions can be embodied in the form of a software product, and the computer software product can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment or some parts of the embodiments.

Claims

1. A method for simulation and evaluation of low-altitude stereoscopic networks, characterized in that, The method comprises the steps of: determining a center line of a target airspace, and selecting a plurality of sampling points in the target airspace based on the center line, a preset distance step, a plane buffer distance, and a preset angle step, wherein each sampling point is uniformly distributed in the target airspace; performing network coverage simulation on the target airspace based on a preset network planning scheme, and collecting simulation data of each sampling point; determining network construction indexes and service indexes based on the simulation data of each sampling point, and determining a network performance evaluation result of the preset network planning scheme based on the network construction indexes and the service indexes; the sampling points comprise first sampling points and second sampling points; the step of selecting a plurality of sampling points in the target airspace based on the center line, the preset distance step, the plane buffer distance, and the preset angle step comprises the steps of: selecting a plurality of first sampling points along the center line and based on the preset distance step; for any first sampling point, establishing a plane coordinate system with the first sampling point as the origin, determining a sampling boundary line based on the first sampling point and the plane buffer distance by using the plane coordinate system, and selecting a plurality of second sampling points corresponding to the first sampling point on the sampling boundary line based on the preset angle step; wherein the plane on which the plane coordinate system is located is perpendicular to the center line.

2. The method of claim 1, wherein, the target airspace is a target air route airspace or a target three-dimensional airspace; the step of determining the center line of the target airspace comprises the steps of: in the case that the target airspace is the target air route airspace, the center line of the target airspace is an air route; in the case that the target airspace is the target three-dimensional airspace, the center line of the target airspace is composed of a plurality of preset test points.

3. The method of claim 1, wherein, before performing network coverage simulation on the target airspace based on the preset network planning scheme, the method further comprises the steps of: obtaining spatial coordinates of each first sampling point; for any first sampling point, obtaining plane coordinates of each second sampling point corresponding to the first sampling point in the corresponding plane coordinate system, and determining spatial coordinates of each second sampling point based on the plane coordinates of each second sampling point and the spatial coordinates of the first sampling point.

4. The method of simulation and evaluation of low-altitude aerial networks according to claim 3, characterized in that, the step of performing network coverage simulation on the target airspace based on the preset network planning scheme, and collecting simulation data of each sampling point comprises the steps of: inputting configuration parameters in the preset network planning scheme and location information of the target airspace into a preset simulation software, and simulating running of each station in the preset network planning scheme by using the preset simulation software; obtaining simulation data of each first sampling point and simulation data of each second sampling point from the preset simulation software based on the spatial coordinates of each first sampling point and the spatial coordinates of each second sampling point.

5. The method of simulation and evaluation of low-altitude aerial networks according to claim 4, characterized in that, the simulation data comprises a received power level, a carrier-to-interference ratio, and a terminal transmission power; the step of determining network construction indexes and service indexes based on the simulation data of each sampling point comprises the steps of: determining network construction indexes by using formulas (1) and (2) and based on the simulation data of each first sampling point and the simulation data of each second sampling point: In the formula, is the network construction index; is the first condition parameter of the i-th sampling point; N is the total number of the sampling points; is the received level of the i-th sampling point; is the standard received level; is the carrier-to-interference ratio of the i-th sampling point; is the standard carrier-to-interference ratio; is the terminal transmission power of the i-th sampling point; is the standard terminal transmission power.

6. The method of simulation and evaluation of low-altitude aerial networks according to claim 4, characterized in that, the simulation data comprises an uplink rate and a downlink rate; The building network index and the service index are determined based on the simulation data of each sampling point, and the simulation data of each sampling point comprises: The service index is determined based on the simulation data of each first sampling point and the simulation data of each second sampling point by using the following formulas (3) and (4): In the formula, is the service index; is the second condition parameter of the i-th sampling point; N is the total number of the sampling points; is the uplink rate of the i-th sampling point; is the standard uplink rate; is the downlink rate of the i-th sampling point; is the standard downlink rate.

7. The method of simulation and evaluation of low-altitude aerial networks according to any of claims 1 to 6, characterized in that, The configuration parameter in the preset network planning scheme comprises a center frequency point. The preset distance step is determined based on the center frequency point by using the following formula (5): In the formula, L is the preset distance step, c is the speed of light, and f is the center frequency point.

8. A simulation and evaluation device for a low-altitude stereoscopic network, characterized by Comprise: The determining module is configured to determine a center line of a target airspace, and select a plurality of sampling points in the target airspace based on the center line, a preset distance step, a plane buffer distance, and a preset angle step, and each sampling point is uniformly distributed in the target airspace. The simulation module is configured to perform network coverage simulation on the target airspace based on a preset network planning scheme, and collect simulation data of each sampling point. The evaluation module is configured to determine a building network index and a service index based on the simulation data of each sampling point, and determine a network performance evaluation result of the preset network planning scheme based on the building network index and the service index. The sampling points comprise first sampling points and second sampling points. The determining module is specifically configured to: select a plurality of first sampling points along the center line and based on the preset distance step; for any first sampling point, establish a plane coordinate system with the first sampling point as an origin, determine a sampling boundary line based on the first sampling point and the plane buffer distance by using the plane coordinate system, and select each second sampling point corresponding to the first sampling point on the sampling boundary line based on the preset angle step; and the plane on which the plane coordinate system is located is perpendicular to the center line.

9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the program to implement the simulation and evaluation method of the low-altitude three-dimensional network according to any one of claims 1 to 7.

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