CN120812637A - Simulation and evaluation method and device of low-altitude three-dimensional network and electronic equipment - Google Patents
Simulation and evaluation method and device of low-altitude three-dimensional network and electronic equipmentInfo
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- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The application discloses a simulation and evaluation method and device of a low-altitude three-dimensional network and electronic equipment, and relates to the technical field of communication. The method comprises the steps of determining a central line of a target airspace, selecting a plurality of sampling points in the target airspace based on the central line, a preset distance step length, a plane buffer distance and a preset angle step length, uniformly distributing the sampling points in the target airspace, carrying out network coverage simulation on the target airspace based on a preset network planning scheme, collecting simulation data of the sampling points, determining a network construction index and a service index 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 index and the service index. Therefore, the network simulation and evaluation of the dynamic air route or the full-stereoscopic space are realized, and the accuracy of the network evaluation under the three-dimensional space is improved.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method and an apparatus for simulating and evaluating a low-altitude stereoscopic network, and an electronic device.
Background
Ext> withext> theext> rapidext> developmentext> ofext> lowext> -ext> altitudeext> economyext> andext> theext> evolutionext> ofext> 5ext> Gext> -ext> Advancedext> (ext> 5ext> Gext> -ext> Aext>)ext> technologyext>,ext> theext> lowext> -ext> altitudeext> networkext> planningext> demandsext> forext> unmannedext> aerialext> vehicleext> logisticsext>,ext> airext> trafficext> managementext>,ext> emergencyext> communicationext> andext> otherext> scenesext> areext> increasinglyext> urgentext>.ext>
Ext> currentlyext>,ext> forext> aext> simulationext> evaluationext> systemext> ofext> aext> lowext> -ext> altitudeext> communicationext> networkext> (ext> suchext> asext> 5ext> Gext> -ext> Aext>)ext>,ext> aext> traditionalext> methodext> ofext> groundext> -ext> basedext> mobileext> communicationext> isext> stillext> usedext>,ext> namelyext>,ext> simulationext> analysisext> isext> performedext> onext> networkext> coverageext> capacityext> andext> interferenceext> levelext> ofext> aext> singleext> layerext> atext> aext> fixedext> heightext> basedext> onext> aext> twoext> -ext> dimensionalext> planeext> modelext>.ext> However, for related low-altitude traffic such as dynamic flying airlines or full-stereoscopic spaces, the network coverage of such low-altitude network traffic exhibits significant three-dimensional characteristics including vertical altitude stratification, multi-elevation signal propagation, air-to-air interference, and the like. Thus, existing two-dimensional assessment models are not suitable for network assessment of dynamic airlines or full stereoscopic space.
Disclosure of Invention
The application mainly aims to provide a simulation and evaluation method and device for a low-altitude stereoscopic network and electronic equipment, so as to realize network simulation and evaluation for a dynamic air line or a full stereoscopic space and improve accuracy of network evaluation in a three-dimensional stereoscopic space.
In order to achieve the above object, the present application provides a method for simulating and evaluating a low-altitude stereoscopic network, comprising:
determining a central line of a target airspace, selecting a plurality of sampling points in the target airspace based on the central line, a preset distance step length, a plane buffer distance and a preset angle step length, 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 each sampling point;
and determining a network construction index and a service index 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 index and the service index.
The method comprises the steps of selecting a plurality of sampling points in a target space domain based on a central line, a preset distance step length, a plane buffer distance and a preset angle step length, sequentially selecting the plurality of first sampling points based on the preset distance step length along the central line, establishing a plane coordinate system with the first sampling points as an origin for any one of the first sampling points, determining a sampling boundary line based on the first sampling points and the plane buffer distance by using the plane coordinate system, and sequentially selecting each second sampling point corresponding to the first sampling point based on the preset angle step length on the sampling boundary line, wherein the plane of the plane coordinate system is perpendicular to the central line.
The method comprises the steps of determining a center line of a target airspace, wherein the target airspace is a target route airspace or a target stereoscopic airspace, determining the center line of the target airspace comprises the steps that the center line of the target airspace is a route when the target airspace is the target route airspace, and the center line of the target airspace comprises a plurality of preset test points when the target airspace is the target stereoscopic airspace.
Optionally, before performing network coverage simulation on the target airspace based on a preset network planning scheme, the method further comprises the steps of acquiring the space coordinates of each first sampling point, acquiring the plane coordinates of each second sampling point corresponding to the first sampling point in the corresponding plane coordinate system for any first sampling point, and determining the space coordinates of each second sampling point based on the plane coordinates of each second sampling point and the space coordinates of the first sampling point.
Optionally, the network coverage simulation is performed on the target airspace based on a preset network planning scheme, and simulation data of each sampling point are collected, which comprises the steps of inputting configuration parameters in the preset network planning scheme and position information of the target airspace into preset simulation software, simulating operation 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 space coordinates of each first sampling point and space coordinates of each second sampling point.
The method comprises the steps of determining a networking index and a service index based on simulation data of each sampling point, wherein the simulation data comprise a receiving level, a carrier-to-interference ratio and a terminal transmitting power, and determining the networking 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):
In the formula, The network building index is set; a first condition parameter for the i-th sampling point; N is the total number of sampling points; A reception level for the i-th sampling point; Is a standard reception level; Carrier-to-interference ratio for the i-th sampling point; is the standard carrier-to-interference ratio; The terminal transmitting power of the ith sampling point; Is the standard terminal transmit power.
The method comprises the steps of determining a networking index and a service index based on simulation data of each sampling point, wherein the simulation data comprises an uplink rate and a downlink rate, and determining the networking index and 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):
In the formula, The service index is the service index; a second conditional parameter for the i-th sampling point; N is the total number of sampling points; The uplink rate for the ith sampling point; Is a standard uplink rate; The downlink rate for the ith sampling point; is the standard downlink rate.
Optionally, the configuration parameters in the preset network planning scheme include a center frequency point, and the preset distance step length is determined based on the center frequency point and by using the following formula (5):
Wherein L is a preset distance step length, c is the speed of light, and f is the center frequency point.
In addition, the application further provides a simulation and evaluation device of the low-altitude three-dimensional network, which comprises a determination module, a simulation module and an evaluation module, wherein the determination module is used for determining the central line of a target airspace, selecting a plurality of sampling points in the target airspace based on the central line, a preset distance step length, a plane buffer distance and a preset angle step length, the sampling points are uniformly distributed in the target airspace, the simulation module is used for carrying out network coverage simulation on the target airspace based on a preset network planning scheme and collecting simulation data of the sampling points, and the evaluation module is used for determining a network construction index and a service index 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 index and the service index.
The application also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the simulation and evaluation method of the low-altitude three-dimensional network according to any one of the above when executing the program.
The simulation and evaluation method of the low-altitude three-dimensional network comprises the steps of taking the central line of a target airspace as a reference, uniformly selecting a plurality of sampling points in the target airspace based on a preset distance step length and a preset angle step length, realizing the universe sampling of the three-dimensional space, carrying out simulation based on a preset network planning scheme to obtain simulation data of each sampling point, obtaining network coverage conditions of the positions of the sampling points based on the simulation data of the sampling points, finally obtaining two network construction indexes and service indexes for evaluating the network coverage conditions of the preset network planning scheme based on the simulation data of the sampling points, and enabling the simulation data of each sampling point to accurately reflect the network coverage state of the local space of the sampling point according to the space topology rule, so that the space blind area of the traditional two-dimensional model is thoroughly eliminated through the network construction indexes and the service indexes generated by the simulation data of the sampling points, the whole network construction indexes and the service indexes for evaluating results can be completely represented, and the whole network performance of the low-altitude target airspace is improved.
Drawings
FIG. 1 is one of the flow charts of the simulation and evaluation method of the low-altitude stereoscopic network according to the embodiment of the application;
FIG. 2 is a second flowchart of a simulation and evaluation method of a low-altitude stereoscopic network according to an embodiment of the application;
FIG. 3 is a schematic illustration of the centerline and first sampling point of an example of the present application;
FIG. 4 is a schematic representation of a planar coordinate system and a second sampling point of one example of the present application;
FIG. 5 is a third flowchart of a simulation and evaluation method of a low-altitude stereoscopic network according to an embodiment of the application;
FIG. 6 is a flowchart of a simulation and evaluation method for a low-altitude stereoscopic network according to an embodiment of the application;
FIG. 7 is a schematic diagram of a simulation and evaluation apparatus for a low-altitude stereoscopic network according to an embodiment of the application;
FIG. 8 illustrates a physical schematic of an electronic device;
In the figure, 700 is a simulation and evaluation device of a low-altitude three-dimensional network, 710 is a determination module, 720 is a simulation module, 730 is an evaluation module, 810 is a processor, 820 is a communication interface, 830 is a memory, 840 is a communication bus.
The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Ext> asext> mobileext> communicationext> technologyext> evolvesext> fromext> 5ext> Gext> toext> 5ext> Gext> -ext> Advancedext> (ext> 5ext> Gext> -ext> aext>)ext> andext> 6ext> Gext>,ext> networkext> coverageext> scenariosext> areext> extendingext> fromext> traditionalext> groundext> twoext> -ext> dimensionalext> planesext> toext> lowext> -ext> altitudeext> airspaceext> stereoscopicallyext>.ext> Ext> theext> 5ext> Gext> -ext> Aext> providesext> aext> technicalext> foundationext> forext> emergingext> servicesext> suchext> asext> unmannedext> aerialext> vehicleext> logisticsext>,ext> airext> trafficext> managementext>,ext> lowext> -ext> altitudeext> emergencyext> communicationext> andext> theext> likeext> byext> introducingext> technologiesext> suchext> asext> largeext> -ext> scaleext> antennaext> arraysext>,ext> millimeterext> waveext> frequencyext> bandsext>,ext> ultraext> -ext> reliableext> lowext> -ext> timeext> delayext> enhancementext> andext> theext> likeext>.ext> However, the current planning and evaluation method for the low-altitude network still lags behind the technical development, and the existing network planning and evaluation scheme generally uses a two-dimensional simulation model of the ground-based cellular network, and can only simulate and evaluate the signal coverage and interference situation about 1.5 meters above the ground surface.
The conventional two-dimensional evaluation model has fundamental limitations that on one hand, the prediction of key performance indexes such as network capacity, time delay, switching success rate and the like is severely distorted due to neglect of signal attenuation difference and space interference superposition effect of high dimension, and on the other hand, the conventional 'face coverage' evaluation model cannot be adapted to application scenes of three-dimensional space such as a route and the like, so that planning results are difficult to reflect network performance in a real low-altitude service scene. The two-dimensional plane assessment method has insufficient applicability in the three-dimensional space domain, reduces the accuracy of network deployment, and is more likely to cause serious potential safety hazards such as air communication interruption, control signal disconnection and the like. Therefore, a new simulation and evaluation method is needed to better evaluate the network performance in three-dimensional space such as airlines, so as to provide guarantee for the development of services.
Therefore, the embodiment of the application provides a simulation and evaluation method, a device and electronic equipment of a low-altitude three-dimensional network, and the sampling points are uniformly selected in a target space by the method for selecting the sampling points provided by the embodiment of the application, so that simulation data at each position of the target space can be obtained during simulation, further network performance evaluation of a dynamic air line or a full three-dimensional space is realized according to the simulation data, and accuracy of network evaluation in the three-dimensional space is improved.
Fig. 1 is a flowchart of a simulation and evaluation method of a low-altitude stereoscopic network according to an embodiment of the application. As shown in fig. 1, the simulation and evaluation method of the low-altitude stereoscopic network may include the following steps:
step 110, determining a central line of the target airspace, and selecting a plurality of sampling points in the target airspace based on the central line, a preset distance step length, a plane buffer distance and a preset angle step length, wherein the sampling points are uniformly distributed in the target airspace.
And 120, performing network coverage simulation on the target airspace based on a preset network planning scheme, and collecting simulation data of each sampling point.
And 130, determining a network construction index and a service index based on the simulation data of each sampling point, and determining a network performance evaluation result of a preset network planning scheme based on the network construction index and the service index.
Firstly, it should be noted that the execution subject of the simulation and evaluation method of the low-altitude stereoscopic network in this embodiment may be any electronic device, and a processor in the electronic device is configured with an application program of the simulation and evaluation method. In addition, the simulation and evaluation method of the low-altitude three-dimensional network can be applied to application scenes of low-altitude communication network construction of services such as urban air communication corridors, unmanned aerial vehicle logistics distribution and the like, and also can be applied to application scenes of low-altitude communication network construction of fixed three-dimensional spaces such as intelligent manufacturing factories and three-dimensional storage.
Ext> inext> theext> simulationext> andext> evaluationext> ofext> theext> lowext> -ext> altitudeext> threeext> -ext> dimensionalext> networkext>,ext> firstext>,ext> aext> targetext> airspaceext> forext> constructingext> theext> lowext> -ext> altitudeext> communicationext> networkext> (ext> 5ext> Gext> -ext> aext>)ext> needsext> toext> beext> determinedext>,ext> andext> inext> thisext> embodimentext>,ext> anyext> airspaceext> thatext> needsext> toext> beext> constructedext> andext> thatext> needsext> toext> evaluateext> theext> performanceext> ofext> theext> lowext> -ext> altitudeext> communicationext> networkext> mayext> beext> usedext> asext> theext> targetext> airspaceext>.ext> For example, the target airspace may be an airspace in which the unmanned aerial vehicle route is located, an airspace in which the stereoscopic warehouse is located, or the like, and the height range of the target airspace may be, for example, 50m to 600m above the ground, and the height range of the target airspace is not specifically limited herein.
After the target airspace is determined, the position information related to the target airspace and a preset network planning scheme designed by staff based on the network coverage planning of the target airspace can be obtained. Specifically, the location information related to the target airspace may include information such as longitude and latitude and altitude of a key location point, for example, if the target airspace is an airspace where a route is located, the key location point may be a route point, longitude and latitude and altitude information of each route point may be obtained in advance, and if the target airspace is a fixed stereoscopic space, the key location point may be some preset test points, and longitude and latitude and altitude information of each preset test point may be obtained in advance.
Furthermore, a preset network planning scheme of a staff aiming at the target airspace design can be directly obtained, wherein the preset network planning scheme refers to a preset systematic parameter configuration and equipment deployment strategy based on the business requirement, the geographic environment and the network performance target of the target airspace before the low-altitude three-dimensional communication network is built. The method and the device for the network planning of the application aim to evaluate the feasibility of the preset network planning scheme and judge whether the preset network planning scheme meets the requirements.
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 frequency single antenna port transmitting power, center frequency point and the like, and the configuration parameters can directly influence the coverage performance, capacity, interference level, service quality and the like of the low-altitude network.
The communication network planned by the preset network planning scheme is required to be capable of covering the required network coverage area. Ext> itext> canext> beext> appreciatedext> thatext>,ext> forext> aext> lowext> -ext> altitudeext> communicationext> networkext> (ext> forext> exampleext>,ext> 5ext> Gext> -ext> aext>)ext>,ext> ifext> theext> targetext> airspaceext> isext> theext> airspaceext> whereext> theext> unmannedext> aerialext> vehicleext> isext> locatedext>,ext> theext> unmannedext> aerialext> vehicleext> usuallyext> fliesext> accordingext> toext> theext> airext> routeext>,ext> butext> becauseext> ofext> factorsext> suchext> asext> positioningext> accuracyext> andext> windext> powerext>,ext> theext> unmannedext> aerialext> vehicleext> usuallyext> fliesext> withext> theext> airext> routeext> asext> aext> centralext> lineext> inext> aext> certainext> rangeext>,ext> andext> thereforeext>,ext> aext> networkext> coverageext> areaext> plannedext> byext> theext> presetext> networkext> planningext> schemeext> needsext> toext> coverext> aext> spaceext> areaext> whenext> theext> unmannedext> aerialext> vehicleext> fliesext> inext> aext> migrationext> mannerext>,ext> soext> asext> toext> ensureext> thatext> theext> unmannedext> aerialext> vehicleext> canext> continuouslyext> obtainext> networkext> servicesext> inext> theext> flightext> processext>.ext>
Based on this, the present embodiment determines the required network coverage area based on the centerline of the target airspace and the plane buffer distance d c. Specifically, the required network coverage area can be determined by taking the center line of the target airspace as a reference and taking the plane buffer distance as a radius, and the determined network coverage area is similar to a cylindrical area.
TABLE 1 correspondence table of service demand level and plane buffer distance
In addition, the plane buffer distance d c may be determined according to the traffic demand level. Table 1 exemplifies the correspondence between the service demand level and the plane buffer distance d c using the target airspace as the airspace where the unmanned aerial vehicle route is located. As shown in table 1, the higher the service demand level, the greater the plane buffer distance is selected. It should be noted that, the values of the plane buffer distances in table 1 are only one example, and specific values of the plane buffer distances may be set by a worker according to actual demands.
After the position information related to the target airspace and the preset network planning scheme aiming at the target airspace are determined, the simulation and evaluation process of the low-altitude three-dimensional network can be performed.
In this embodiment, a center line of a target space domain may be determined first, and the simulation and evaluation method of this embodiment is mainly implemented based on this center line. Since the target airspace may be irregularly shaped airspace, the centerline of the target airspace may be composed of multiple line segments.
In some embodiments, the target airspace is a target route airspace or a target stereoscopic airspace, and determining the center line of the target airspace may include determining that the center line of the target airspace is a route if the target airspace is a target route airspace, and determining that the center line of the target airspace is composed of a plurality of preset test points if the target airspace is a target stereoscopic airspace.
Specifically, the target airspace in this embodiment may be a target route airspace or a target stereoscopic airspace, that is, the target airspace is divided into two types of airspace in which the route is located and a fixed stereoscopic space, and the central line determination manners of the two types of airspace are different. If the target airspace is the target route airspace, the route can be directly used as a central line, and simulation and evaluation can be performed based on the route. If the target airspace is the target stereoscopic airspace, a worker can manually set some key position points as preset test points, and the center line of the target stereoscopic airspace can be obtained after connecting the preset test points.
In some embodiments, the method for acquiring the position information related to the target airspace may also be that the position information is acquired in a "segmented" manner based on the center line of the target airspace. Specifically, the inflection point of the center line may be used as a segmentation point, the center line may be divided into a plurality of line segments, and then the position information related to each line segment may be acquired. As an example, if the target airspace is the target airspace, the relevant location information such as the start longitude, the start latitude, the start altitude, the end longitude, the end latitude, and the end altitude of each route segment may be obtained.
After the center line of the target airspace is determined, a plurality of sampling points can be selected from the network coverage of the target airspace based on the center line, the preset distance step length, the plane buffer distance and the preset angle step length. In this embodiment, the sampling point may be selected from two dimensions, namely, a longitudinal dimension and a transverse dimension, where the longitudinal dimension is perpendicular to the direction of the center line, that is, the sampling point is selected on a section perpendicular to the center line, so as to ensure that the network performance of the target airspace height dimension can be obtained, and the transverse dimension is identical to or parallel to the direction of the center line. The embodiment is performed in a manner of firstly taking the transverse sampling point and then taking the sampling point on the longitudinal section. The sampling points selected in this way are partially located on the centerline and partially distributed at each azimuth of the centerline, so that all sampling points are uniformly distributed within the network coverage.
FIG. 2 is a second flowchart of a simulation and evaluation method of a low-altitude stereoscopic network according to an embodiment of the application.
As shown in fig. 2, in some embodiments, where the sampling points include a first sampling point and a second sampling point, selecting a plurality of sampling points in the target space domain based on the center line, the preset distance step, the plane buffer distance, and the preset angle step in step 110 may include the steps of:
Step 210, sequentially selecting a plurality of first sampling points along the central line and based on a preset distance step.
And 220, for any first sampling point, establishing a plane coordinate system by taking the first sampling point as an origin, determining a sampling boundary line by utilizing the plane coordinate system and based on the first sampling point and the plane buffering distance, and sequentially selecting each second sampling point corresponding to the first sampling point on the sampling boundary line based on a preset angle step length, wherein the plane of the plane coordinate system is perpendicular to the central line.
In this embodiment, a plurality of first sampling points may be selected laterally along the centerline, the first sampling points may be noted as D m0 (m=1, 2,) M, the total number of first sampling points. Specifically, the first sampling point may be selected segment by segment (i.e., a segment obtained after the segmentation process) according to a preset distance step from a starting position of the center line until the selection of the ending position of the center line is stopped.
FIG. 3 is a schematic illustration of the centerline and first sampling point of an example of the present application. As shown in fig. 3, as an example, the center line in fig. 3 may be divided into three segments according to inflection point segmentation, and if the preset distance step is 10m, each segment sequentially selects the first sampling point according to the step of 10 m.
In some embodiments, the configuration parameters in the preset network planning scheme include a center frequency point, and the preset distance step is determined based on the center frequency point and using the following formula (5):
Wherein L is a preset distance step length, c is the speed of light, and f is a central frequency point (unit MHz). For example, if the center frequency point is 3.5GHz, L takes 3.43m.
It can be understood that if the preset distance step is selected to be larger, the position of the weaker signal in the target space domain is likely to be unable to be measured, so that the evaluation accuracy is also reduced, and if the preset distance step is selected to be smaller, the calculated amount is larger, and the evaluation efficiency is relatively lower. Therefore, in order to improve the evaluation accuracy, the embodiment determines the preset distance step by presetting the center frequency point and the light speed in the network planning scheme, determines the preset distance step based on the center frequency point, and considers the influence of the propagation speed and the frequency of the electromagnetic wave in the air on the signal coverage range. The preset distance step length determined by the method can better balance the evaluation precision and the calculated amount, so that the selection of the sampling point can cover the area with weaker signal in the target space domain, and the calculated amount is not excessively large, thereby influencing the evaluation efficiency.
Further, after each first sampling point is determined, a plurality of second sampling points corresponding to each first sampling point may be determined, and in the following, taking one first sampling point as an example, how each second sampling point corresponding to the first sampling point is determined will be described.
In this embodiment, each second sampling point is located in a plane perpendicular to the centerline where the first sampling point is located. 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 may be determined by drawing a circle with the first sampling point as a center and the plane buffer distance as a radius, where the sampling boundary line is a circle. Finally, selecting a second sampling point every preset angle step, thereby obtaining each second sampling point corresponding to the first sampling point. The second sampling point may be denoted as D mj (j=1, 2,) J, J being the total number of second sampling points corresponding to the mth first sampling point, and the preset angle step may be denoted as a.
It should be noted that, the preset angle step may be set manually by a worker according to actual needs, and the preset angle step is not specifically limited here. For example, the preset angle step may be 30 °, 45 °, etc., and if the evaluation criterion is high, the preset angle step may be selected to be 30 °.
Fig. 4 is a schematic diagram of a planar coordinate system and a second sampling point according to an example of the present application. As shown in fig. 4, if the preset angle step a is 45 °,8 second sampling points may be determined on the sampling boundary line according to the preset angle step a, which are D m1、Dm2、Dm3、Dm4、Dm5、Dm6、Dm7 and D m8, respectively.
FIG. 5 is a third flowchart of a simulation and evaluation method of a low-altitude stereoscopic network according to an embodiment of the application.
As shown in fig. 5, in some embodiments, before performing network coverage simulation on the target airspace based on the preset network planning scheme and collecting the simulation data of each sampling point in step 120, the simulation and evaluation method may further include the following steps:
Step 510, obtaining the space coordinates of each first sampling point.
Step 520, for any first sampling point, obtaining the plane coordinates of each second sampling point corresponding to the first sampling point in the corresponding plane coordinate system, and determining the space coordinates of each second sampling point based on the plane coordinates of each second sampling point and the space coordinates of the first sampling point.
Specifically, after each first sampling point is determined, the above-mentioned position information related to the target airspace may be obtained by obtaining only the spatial coordinates of each first sampling point, where the spatial coordinates include the longitude, latitude, and altitude of the first sampling point. Or after segmentation based on the above mode, performing data processing according to a preset distance step length to obtain the space coordinates of the first sampling point.
Further, after the spatial coordinates of the first sampling points are obtained, the spatial coordinates of each second sampling point may be determined based on the spatial coordinates of the first sampling points and the plane coordinates of each second sampling point. Specifically, taking one first sampling point as an example, the plane coordinates of each second sampling point corresponding to the first sampling point in the plane coordinate system may be represented as D mj(dc×sin(α×(j-1)),dc ×cos (α× (j-1)), where D mj is the jth second sampling point corresponding to the mth first sampling point, D c is the plane buffer distance, and α is a preset angle step.
The plane coordinates of the second sampling points are determined based on the first sampling points, and therefore, the spatial coordinates of each second sampling point can be determined based on the spatial coordinates of the first sampling points. In this embodiment, the plane coordinates of the second sampling point may be converted into the space coordinates based on the space coordinates of the first sampling point and the positional relationship between the first sampling point and the second sampling point in the plane coordinate system, and the conversion manner may be an existing coordinate conversion manner, which is not described herein.
After the space coordinates of each first sampling point and the space coordinates of each second sampling point are obtained, network coverage simulation can be performed on the target airspace based on a preset network planning scheme.
FIG. 6 is a flowchart of a simulation and evaluation method for a low-altitude stereoscopic network according to an embodiment of the application.
As shown in fig. 6, in some embodiments, the step 120 of performing network coverage simulation on the target airspace based on the preset network planning scheme and collecting the simulation data of each sampling point may include the following steps:
Step 610, inputting configuration parameters in a preset network planning scheme and position information of a target airspace into preset simulation software, and simulating operation of each station in the preset network planning scheme by using the preset simulation software.
Step 620, based on the space coordinates of each first sampling point and the space coordinates of each second sampling point, obtaining the simulation data of each first sampling point and the simulation data of each second sampling point from preset simulation software.
Specifically, after the spatial coordinates of each first sampling point and the spatial coordinates of each second sampling point are obtained, the obtained configuration parameters in the preset network planning scheme and the obtained position information of the target airspace can be input into preset simulation software, so that the preset simulation software performs low-altitude network site modeling based on the data. Here, the position information input to the target airspace may be only the spatial coordinates of each first sampling point and the spatial coordinates of each second sampling point, or may be the position information of each line segment obtained by segmenting the center line. In addition, the preset simulation software can be any simulation software for low-altitude network simulation, such as Atoll, winProp.
The preset simulation software can model each site in the preset network planning scheme, and can simulate the operation of each site, so that the real low-altitude network coverage condition is simulated. In the simulation process, the preset simulation software considers various factors such as electromagnetic wave propagation characteristics, network topology structures, site transmitting power, antenna directivity and the like to generate simulation data of each sampling point. The simulation data include, but are not limited to, key performance indicators such as a receiving level, a carrier-to-interference ratio, a terminal transmitting power, an uplink rate, a downlink rate and the like, and can comprehensively reflect network coverage conditions and performance performances.
Specifically, when the simulation data of each sampling point is obtained, the preset simulation software may output corresponding simulation data according to the spatial coordinates of each first sampling point and the spatial coordinates of each second sampling point. By the method, the network performance index of each position in the target space domain can be accurately acquired, and data support is provided for subsequent network evaluation.
After the simulation data of each sampling point are obtained, an evaluation stage can be entered. The purpose of the evaluation is to judge whether the preset network planning scheme meets the service requirement according to the simulation data. In this embodiment, some evaluation indexes and thresholds may be preset, and then the simulation data is compared with these evaluation indexes to determine whether the network performance meets the standard. If the simulation data indicate that the network performance cannot meet the service requirement, the preset network planning scheme is required to be adjusted, and the simulation and evaluation are performed again until the optimal network planning scheme meeting the service requirement is found.
The embodiment of the application converts the simulation data of each sampling point into the networking index and the service index, and evaluates the network performance through the networking index and the service index. Through conversion, the network coverage condition and performance can be more intuitively known, so that the advantages and disadvantages of the preset network planning scheme can be more accurately evaluated.
In some embodiments, determining the networking metrics and the business metrics based on the simulation data for each sampling point in step 130 may include determining the networking metrics based on the simulation data for each first sampling point and the simulation data for each second sampling point using equations (1) and (2) below:
In the formula, Is a networking index; a first condition parameter for the i-th sampling point; N is the total number of sampling points; A reception level for the i-th sampling point; Is a standard reception level; Carrier-to-interference ratio for the i-th sampling point; is the standard carrier-to-interference ratio; The terminal transmitting power of the ith sampling point; Is the standard terminal transmit power.
Specifically, after the reception level, the carrier-to-interference ratio, and the terminal transmission power of each first sampling point and each second sampling point are obtained, the reception level, the carrier-to-interference ratio, and the terminal transmission power of each sampling point may be substituted into formula (1). The meaning of the formula (1) is that if the difference between the receiving level of the sampling point and the standard receiving level is greater than or equal to-115, 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 transmitting power of the sampling point and the standard terminal transmitting power is greater than or equal to 23, the first condition parameter corresponding to the sampling point is marked as 1, and if the receiving level, the carrier-to-interference ratio and the terminal transmitting power of the sampling point do not meet the condition in the formula (1), the first condition parameter corresponding to the sampling point is marked as 0.
Further, the first condition parameters of all the sampling points are substituted into a formula (2), wherein the meaning of the formula (2) is that the first condition parameters of all the sampling points are added to obtain the number of the sampling points meeting the three conditions, and the number of the sampling points meeting the three conditions is divided by the total number of the sampling points to obtain the networking index.
In some embodiments, determining the networking metrics and the business metrics based on the simulation data for each sampling point in step 130 may further include determining the business metrics based on the simulation data for each first sampling point and the simulation data for each second sampling point using equations (3) and (4) below:
In the formula, Is a business index; a second conditional parameter for the i-th sampling point; N is the total number of sampling points; The uplink rate for the ith sampling point; Is a standard uplink rate; The downlink rate for the ith sampling point; is the standard downlink rate.
Specifically, after the uplink rate and the downlink rate of each first sampling point and each second sampling point are obtained, the uplink rate and the downlink rate of each sampling point may be substituted into formula (3). The meaning of the 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, the second condition parameter corresponding to the sampling point is marked as 1, and if the uplink rate and the downlink rate of the sampling point do not meet the condition in the formula (3), the second condition parameter corresponding to the sampling point is marked as 0.
Further, substituting the second condition parameters of all the sampling points into the formula (4), wherein the meaning of the formula (4) is that the second condition parameters of all the sampling points are added to obtain the number of the sampling points meeting the two conditions, and dividing the number of the sampling points meeting the two conditions by the total number of the sampling points to obtain the service index.
It should be noted that the standard receiving level, the standard carrier-to-interference ratio, the standard terminal transmitting power, the standard uplink rate and the standard downlink rate may be determined through a plurality of items and test analysis, and the standard receiving level, the standard carrier-to-interference ratio, the standard terminal transmitting power, the standard uplink rate and the standard downlink rate may also be set with different values based on the service requirement level. The service requirement level is the same as that used in the foregoing embodiment for selecting the plane buffer distance, and if the plane buffer distance is selected at a high level, the corresponding value of the high level is also used when the standard reception level, the standard carrier-to-interference ratio, the standard terminal transmission power, the standard uplink rate, and the standard downlink rate are selected.
As an example, table 2 illustrates the correspondence between the service requirement level and the standard parameters, and it should be noted that, the values of the standard parameters in table 2 are only one example, and specific values may be set by the staff according to the actual requirements.
Table 2 correspondence table of service demand level and standard parameters
Further, after the networking index and the service index are obtained, the network performance can be evaluated according to the networking index and the service index. In this embodiment, thresholds corresponding to the network establishment index and the service index are set respectively, and if the network establishment index and the service index reach the preset thresholds, the preset network planning scheme can be considered to meet the service requirement, so that the feasibility is high, and at the moment, the relevant site scheme and the evaluation effect are submitted. Otherwise, if the network establishment index and the service index do not reach the preset threshold, the preset network planning scheme is insufficient, and optimization adjustment is needed. The optimization may include adjusting parameters such as location of network stations, transmit power, antenna directivity, etc., or re-planning network topology to improve network coverage and performance.
It should be noted that, the threshold values corresponding to the networking indexes and the business indexes may be set manually by the staff according to the actual requirements. For example, the threshold corresponding to the networking indicator may be 0.95, and the threshold corresponding to the service indicator may be 1.
In the process of optimizing and adjusting, the simulation and evaluation method of the low-altitude three-dimensional network provided by the embodiment of the application can be used for simulation and evaluation again so as to verify the optimized network planning scheme. By the method, an optimal network planning scheme can be approximated gradually, the finally obtained scheme can meet actual service requirements, and powerful support is provided for construction and operation of a low-altitude three-dimensional network.
Therefore, by the method, various factors in the target space domain can be comprehensively considered, the low-altitude network coverage condition can be accurately simulated, and the network performance can be accurately evaluated based on simulation data. This not only improves the efficiency of the network planning, but also ensures that the resulting network planning scheme has higher feasibility and practicality. Meanwhile, the method can flexibly adjust standard parameters according to the service demand level, further enhance the applicability and flexibility of the method and provide powerful support for the construction and operation of the low-altitude three-dimensional network.
On the basis of the embodiment, the embodiment of the application also provides a simulation and evaluation device of the low-altitude three-dimensional network. Fig. 7 is a schematic diagram of a simulation and evaluation apparatus for a low-altitude stereoscopic network according to an embodiment of the application. As shown in fig. 7, the simulation and evaluation apparatus 700 of the low-altitude stereoscopic network may include a determination module 710, a simulation module 720, and an evaluation module 730.
The determining module 710 is configured to determine a center line of the target airspace, select a plurality of sampling points in the target airspace based on the center line, a preset distance step and a preset angle step, and uniformly distribute each sampling point in the target airspace, the simulating module 720 is configured to perform network coverage simulation on the target airspace based on a preset network planning scheme, collect simulation data of each sampling point, and the evaluating module 730 is configured to determine a networking index and a service index based on the simulation data of each sampling point, and determine a network performance evaluating result of the preset network planning scheme based on the networking index and the service index.
The simulation module 720 then carries out simulation based on a preset network planning scheme aiming at the target airspace to obtain simulation data of each sampling point, the network coverage condition of the position of the sampling point can be known based on the simulation data of the sampling point, finally, the evaluation module 730 obtains two network construction indexes and service indexes for evaluating the network coverage condition of the preset network planning scheme based on the simulation data of the sampling point, and because the sampling points are distributed at different height layers and different azimuth angles in the target airspace according to the space topology rule, the simulation data of each sampling point can accurately reflect the network coverage state of the local space, and further the space blind area of the traditional two-dimensional model is thoroughly eliminated through the network construction indexes and service indexes generated by the simulation data of the sampling points, the whole network performance of the low-altitude target airspace can be completely represented by the evaluation result, and the accuracy of evaluation is improved.
In some embodiments, the sampling points include a first sampling point and a second sampling point, the determining module 710 is specifically configured to sequentially select a plurality of first sampling points along a center line and based on a preset distance step, establish a plane coordinate system with respect to any one of the first sampling points by using the first sampling point as an origin, determine a sampling boundary line by using the plane coordinate system and based on the first sampling point and the plane buffering distance, and sequentially select each second sampling point corresponding to the first sampling point on the sampling boundary line based on a preset angle step, where a plane where the plane coordinate system is located is perpendicular to the center line.
In some embodiments, the target airspace is a target route airspace or a target stereoscopic airspace, and the determining module 710 is further specifically configured to, in the case that the target airspace is a target route airspace, determine that a center line of the target airspace is a route, and in the case that the target airspace is a target stereoscopic airspace, determine that the center line of the target airspace is composed of a plurality of preset test points.
In some embodiments, the determining module 710 is further specifically configured to obtain spatial coordinates of each first sampling point, obtain, for any first sampling point, plane coordinates of each second sampling point corresponding to the first sampling point in a 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.
In some embodiments, the simulation module 720 is specifically configured to input configuration parameters in a preset network planning scheme and position information of a target airspace into preset simulation software, simulate operation of each site in the preset network planning scheme by using the preset simulation software, and acquire simulation data of each first sampling point and simulation data of each second sampling point from the preset simulation software based on spatial coordinates of each first sampling point and spatial coordinates of each second sampling point.
In some embodiments, the simulation data includes a reception level, a carrier-to-interference ratio, and a terminal transmission power, and the evaluation module 730 is specifically configured to determine a networking indicator 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):
In the formula, Is a networking index; a first condition parameter for the i-th sampling point; N is the total number of sampling points; A reception level for the i-th sampling point; Is a standard reception level; Carrier-to-interference ratio for the i-th sampling point; is the standard carrier-to-interference ratio; The terminal transmitting power of the ith sampling point; Is the standard terminal transmit power.
In some embodiments, the simulation data includes an uplink rate and a downlink rate, and the evaluation module 730 is further specifically configured to determine the traffic index based on the simulation data of each first sampling point and the simulation data of each second sampling point using the following formulas (3) and (4):
In the formula, Is a business index; a second conditional parameter for the i-th sampling point; N is the total number of sampling points; The uplink rate for the ith sampling point; Is a standard uplink rate; The downlink rate for the ith sampling point; is the standard downlink rate.
In some embodiments, the configuration parameters in the preset network planning scheme include a center frequency point, and the determining module 710 is further specifically configured to determine a preset distance step based on the center frequency point and using the following formula (5):
Wherein L is a preset distance step length, c is the speed of light, and f is a central frequency point.
It should be noted that, for details not disclosed in the simulation and evaluation apparatus of the low-altitude three-dimensional network in this embodiment, please refer to details disclosed in the embodiments of the simulation and evaluation method of the low-altitude three-dimensional network in this embodiment, and are not described herein again.
Based on the above embodiment, fig. 8 illustrates a physical schematic diagram of an electronic device, as shown in fig. 8, where the electronic device may include a processor 810, a communication interface 820, a memory 830, and a communication bus 840, where the processor 810, the communication interface 820, and the memory 830 complete communication with each other through the communication bus 840. The processor 810 may call logic instructions in the memory 830 to perform a method for simulating and evaluating a low-altitude three-dimensional network, where the method includes determining a center line of a target airspace, 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, uniformly distributing the sampling points in the target airspace, performing network coverage simulation on the target airspace based on a preset network planning scheme, collecting simulation data of the sampling points, determining a networking index and a service index 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 networking index and the service index.
Further, the logic instructions in the memory 830 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. The storage medium includes a U disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, an optical disk, or other various media capable of storing program codes.
On the basis of the embodiment, in another aspect, the invention further provides a computer program product, which comprises a computer program, wherein the computer program can be stored on a non-transitory computer readable storage medium, and when the computer program is executed by a processor, the computer program can execute the simulation and evaluation method of the low-altitude three-dimensional network provided by the methods, and the method comprises the steps of determining the central line of a target airspace, selecting a plurality of sampling points in the target airspace based on the central line, a preset distance step length, a plane buffer distance and a preset angle step length, uniformly distributing the sampling points in the target airspace, performing network coverage simulation on the target airspace based on a preset network planning scheme, collecting simulation data of the sampling points, determining a network construction index and a service index 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 index and the service index.
On the basis of the embodiment, in yet another aspect, the invention further provides a non-transitory computer readable storage medium, on which a computer program is stored, the computer program is implemented when executed by a processor to perform the simulation and evaluation method of the low-altitude three-dimensional network provided by the methods, and the method comprises determining a center line of a target airspace, 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, uniformly distributing the sampling points in the target airspace, performing network coverage simulation on the target airspace based on a preset network planning scheme, collecting simulation data of the sampling points, determining a network construction index and a service index 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 index and the service index.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Claims (10)
1. The simulation and evaluation method of the low-altitude three-dimensional network is characterized by comprising the following steps of:
determining a central line of a target airspace, selecting a plurality of sampling points in the target airspace based on the central line, a preset distance step length, a plane buffer distance and a preset angle step length, 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 each sampling point;
And determining a networking index and a service index 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 networking index and the service index.
2. The method for simulating and evaluating a low-altitude stereoscopic network according to claim 1, wherein the sampling points include a first sampling point and a second sampling point;
the selecting a plurality of sampling points in the target space based on the center line, a preset distance step length, a plane buffer distance and a preset angle step length includes:
sequentially selecting a plurality of first sampling points along the central line and based on the preset distance step length;
For any first sampling point, a plane coordinate system is established by taking the first sampling point as an origin, a sampling boundary line is determined by utilizing the plane coordinate system and based on the first sampling point and the plane buffering distance, and each second sampling point corresponding to the first sampling point is sequentially selected on the sampling boundary line based on the preset angle step length, wherein the plane of the plane coordinate system is perpendicular to the central line.
3. The method for simulating and evaluating a low-altitude three-dimensional network according to claim 1, wherein the target airspace is a target airline airspace or a target three-dimensional airspace;
The determining the center line of the target airspace comprises the following steps:
When the target airspace is the target route airspace, the central line of the target airspace is a route;
and under the condition that the target airspace is the target stereoscopic airspace, the central line of the target airspace consists of a plurality of preset test points.
4. The method for simulating and evaluating a low-altitude stereoscopic network according to claim 2, wherein before performing network coverage simulation on the target airspace based on a preset network planning scheme, the method further comprises:
Acquiring the space coordinates of each first sampling point;
And for any first sampling point, acquiring the plane coordinates of each second sampling point corresponding to the first sampling point in the corresponding plane coordinate system, and determining the space coordinates of each second sampling point based on the plane coordinates of each second sampling point and the space coordinates of the first sampling point.
5. The method for simulating and evaluating a low-altitude stereoscopic network according to claim 4, wherein the performing network coverage simulation on the target airspace based on a preset network planning scheme and collecting simulation data of each sampling point comprises:
Inputting configuration parameters in the preset network planning scheme and the position information of the target airspace into preset simulation software, and simulating the operation of each station in the preset network planning scheme by using the preset simulation software;
Based on the space coordinates of the first sampling points and the space coordinates of the second sampling points, simulation data of the first sampling points and simulation data of the second sampling points are obtained from the preset simulation software.
6. The method for simulating and evaluating a low-altitude stereoscopic network according to claim 5, wherein the simulation data includes a reception level, a carrier-to-interference ratio, and a terminal transmission power;
the determining the networking index and the business index based on the simulation data of each sampling point comprises the following steps:
determining a networking 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):
In the formula, The network building index is set; a first condition parameter for the i-th sampling point; N is the total number of sampling points; A reception level for the i-th sampling point; Is a standard reception level; Carrier-to-interference ratio for the i-th sampling point; is the standard carrier-to-interference ratio; The terminal transmitting power of the ith sampling point; Is the standard terminal transmit power.
7. The method for simulating and evaluating a low-altitude stereoscopic network according to claim 5, wherein the simulation data includes an uplink rate and a downlink rate;
the determining the networking index and the business index based on the simulation data of each sampling point comprises the following steps:
Determining a traffic index based on the simulation data of each of the first sampling points and the simulation data of each of the second sampling points using the following formulas (3) and (4):
In the formula, The service index is the service index; a second conditional parameter for the i-th sampling point; N is the total number of sampling points; The uplink rate for the ith sampling point; Is a standard uplink rate; The downlink rate for the ith sampling point; is the standard downlink rate.
8. The method for simulating and evaluating a low-altitude stereoscopic network according to any one of claims 1 to 7, wherein the configuration parameters in the preset network planning scheme include a center frequency point;
determining the preset distance step length based on the center frequency point by using the following formula (5):
Wherein L is a preset distance step length, c is the speed of light, and f is the center frequency point.
9. A simulation and evaluation device for a low-altitude stereoscopic network, comprising:
the determining module is used for determining the central line of the target airspace, selecting a plurality of sampling points in the target airspace based on the central line, a preset distance step length, a plane buffer distance and a preset angle step length, and uniformly distributing the sampling points in the target airspace;
The simulation module is used for carrying out network coverage simulation on the target airspace based on a preset network planning scheme and collecting simulation data of each sampling point;
and the evaluation module is used for determining a networking index and a service index 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 networking index and the service index.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of simulating and evaluating a low-altitude stereoscopic network according to any one of claims 1 to 8 when the program is executed by the processor.
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