CN116634474A - Method, system, equipment and medium for predicting communication coverage of large-area cluster - Google Patents
Method, system, equipment and medium for predicting communication coverage of large-area cluster Download PDFInfo
- Publication number
- CN116634474A CN116634474A CN202310813355.1A CN202310813355A CN116634474A CN 116634474 A CN116634474 A CN 116634474A CN 202310813355 A CN202310813355 A CN 202310813355A CN 116634474 A CN116634474 A CN 116634474A
- Authority
- CN
- China
- Prior art keywords
- communication
- area
- diffraction
- line
- data sets
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004891 communication Methods 0.000 title claims abstract description 152
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 35
- 230000000694 effects Effects 0.000 claims abstract description 13
- 238000004364 calculation method Methods 0.000 claims description 13
- 230000000007 visual effect Effects 0.000 claims description 10
- 238000010845 search algorithm Methods 0.000 claims description 6
- 238000004590 computer program Methods 0.000 claims description 4
- 238000000605 extraction Methods 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 3
- 230000004888 barrier function Effects 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000004804 winding Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/06—Testing, supervising or monitoring using simulated traffic
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/22—Traffic simulation tools or models
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses a method, a system, equipment and a medium for predicting communication coverage of a large-area cluster, which relate to the field of cluster communication, and the method comprises the steps of setting a plurality of starting points in a grid elevation digital map; extracting a link coordinate set of a profile connecting line between each starting point and a transmitting station by using a Blisenham algorithm; performing line-of-sight communication judgment according to the link coordinate sets to obtain a plurality of line-of-sight communication areas and a plurality of diffraction area judgment data sets; calculating a path loss value set of all points on each link coordinate set by utilizing a double-line model and a blade diffraction principle according to a plurality of line-of-sight communication area judging data sets and a plurality of diffraction area judging data sets; and calculating the receiving level values and the communication probabilities of all points in the target area according to the path loss value sets corresponding to all the starting points on the boundary. The method and the device can efficiently predict the coverage effect of the trunking communication in the target area.
Description
Technical Field
The present invention relates to the field of cluster communication, and in particular, to a method, system, device, and medium for predicting coverage of a cluster communication in a large area.
Background
The trunking communication has the characteristics of shared channels, dynamic allocation and the like, has the advantages of wide coverage, high spectrum utilization rate and the like, and provides special command and dispatch and other communication services for departments and group users. The coverage of the large-area trunking communication system is wide, the distance between base stations is far, coverage indexes are mainly considered, the coverage prediction is carried out on the large-area trunking communication by adopting the traditional cell coverage prediction method, the problems of long time and high cost exist, and an efficient and economical large-area coverage prediction method is needed.
Disclosure of Invention
The invention aims to provide a coverage prediction method, a system, equipment and a medium for large-area trunking communication, so as to efficiently predict the coverage effect of trunking communication in a target area.
In order to achieve the above object, the present invention provides the following solutions:
a large area cluster communication coverage prediction method comprises the following steps:
acquiring longitude and latitude of a trunking communication base station and determining a grid elevation digital map according to the longitude and latitude of the trunking communication base station;
setting a plurality of starting points in the grid elevation digital map;
extracting a link coordinate set of a profile connecting line between each starting point and a transmitting station by using a Blisenham algorithm;
performing line-of-sight communication judgment according to the link coordinate sets to obtain a plurality of line-of-sight communication area judgment data sets and a plurality of diffraction area judgment data sets;
calculating a path loss value set of all points on each link coordinate set by utilizing a double-line model and a blade diffraction principle according to a plurality of line-of-sight communication area judging data sets and a plurality of diffraction area judging data sets;
extracting path loss value sets corresponding to all starting points serving as points on the boundary according to a boundary searching algorithm;
calculating the receiving level values and the communication probability of all points in the target area according to the path loss value sets corresponding to the points with all the starting points as the boundaries; the reception level value and the communication probability are used to represent a trunking communication coverage effect.
Optionally, performing line-of-sight communication determination according to the link coordinate sets to obtain a plurality of line-of-sight communication area determination data sets and a plurality of diffraction area determination data sets, which specifically include:
calculating a profile elevation data set and a distance set between a point on the profile and a transmitting station according to each link coordinate set;
and defining a diffraction area of the link section by utilizing a modified visual point algorithm according to the section elevation data set and the distance set to obtain a plurality of vision distance communication area judging data sets and a plurality of diffraction area judging data sets.
Optionally, the link profile is defined by using a diffraction area according to the profile elevation data set and the distance set by using a modified visual point algorithm to obtain a plurality of view distance communication area judging data sets and a plurality of diffraction area judging data sets, which specifically includes:
calculating the slope between each point of the link profile and the origin according to the profile elevation data set and the distance set; the origin is a trunking communication base station;
and performing diffraction region demarcation according to the slope to obtain a plurality of vision distance communication region judgment data sets and a plurality of diffraction region judgment data sets.
Optionally, calculating a set of path loss values of all points on each link coordinate set according to the plurality of line-of-sight communication area determination data sets and the plurality of diffraction area determination data sets by using a double-line model and a blade diffraction principle, specifically including:
calculating a path loss value set of the line-of-sight communication area by using a double-line model according to the line-of-sight communication area judging data set;
determining a virtual emission source from the diffraction region decision dataset;
and calculating a path loss value set of each point of the primary and multiple diffraction areas by adopting a blade peak diffraction principle according to the virtual emission source.
The invention also provides a system for predicting communication coverage of the large-area cluster, which comprises the following steps:
the acquisition module is used for acquiring the longitude and latitude of the trunking communication base station and determining a grid elevation digital map according to the longitude and latitude of the trunking communication base station;
the setting module is used for setting a plurality of starting points in the grid elevation digital map;
the link coordinate set determining module is used for extracting a link coordinate set of a profile connecting line between each starting point and the transmitting station by utilizing a Blisenhame algorithm;
the line-of-sight communication judging module is used for carrying out line-of-sight communication judgment according to the link coordinate sets to obtain a plurality of line-of-sight communication area judging data sets and a plurality of diffraction area judging data sets;
the calculation module is used for calculating a path loss value set of all points on each link coordinate set according to the plurality of line-of-sight communication area judging data sets and the plurality of diffraction area judging data sets by using a double-line model and a blade diffraction principle;
the extraction module is used for extracting path loss value sets corresponding to all the starting points serving as points on the boundary according to the boundary search algorithm;
the receiving level value and communication probability calculation module is used for calculating the receiving level values and communication probabilities of all points in the target area according to the path loss value sets corresponding to the points on which all the starting points are the boundaries; the reception level value and the communication probability are used to represent a trunking communication coverage effect.
Optionally, the line-of-sight communication determination module specifically includes:
a section elevation data set and distance set calculation unit for calculating a section elevation data set and a distance set between a point on the section and a transmitting station according to each link coordinate set;
and the diffraction area demarcation unit is used for demarcating the diffraction area of the link section by utilizing the improved visual point algorithm according to the section elevation data set and the distance set to obtain a plurality of vision distance communication area judgment data sets and a plurality of diffraction area judgment data sets.
The present invention also provides an electronic device including: one or more processors; a storage device having one or more programs stored thereon; the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the methods as described.
The invention also provides a computer storage medium having stored thereon a computer program which, when executed by a processor, implements a method as described.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention obtains longitude and latitude of the cluster communication base station and determines a grid elevation digital map according to the longitude and latitude of the cluster communication base station; setting a plurality of starting points in the grid elevation digital map; extracting a link coordinate set of a profile connecting line between each starting point and a transmitting station by using a Blisenham algorithm; performing line-of-sight communication judgment according to the link coordinate sets to obtain a plurality of line-of-sight communication areas and a plurality of diffraction area judgment data sets; calculating a path loss value set of all points on each link coordinate set by using a double-line model according to a plurality of line-of-sight communication area judging data sets, and calculating the path loss value set of all points on each link coordinate set by using a double-line model and a blade diffraction principle according to a plurality of diffraction area judging data sets; extracting path loss value sets corresponding to all starting points serving as points on the boundary according to a boundary searching algorithm; calculating the receiving level values and the communication probability of all points in the target area according to the path loss value sets corresponding to the points with all the starting points as the boundaries; the reception level value and the communication probability are used to represent a trunking communication coverage effect. The invention introduces the Blisenham algorithm to extract a link section, adopts a diffraction region demarcation algorithm to calculate a line-of-sight communication region and a diffraction region, adopts a double-line model and a blade diffraction principle to calculate a path loss value of the link section region, and finally calculates a global path loss value of a target region through a boundary search algorithm to complete efficient prediction of trunking communication coverage.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a diffraction region demarcation algorithm;
FIG. 2 is a graph of a peak diffraction algorithm;
FIG. 3 is a diagram of a boundary search algorithm;
fig. 4 is a flowchart of a method for predicting coverage of a trunking communication system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention aims to provide a coverage prediction method, a system, equipment and a medium for large-area trunking communication, so as to efficiently predict the coverage effect of trunking communication in a target area.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
As shown in fig. 4, the method for predicting communication coverage of a large-area cluster provided by the invention includes:
step 101: and acquiring longitude and latitude of the trunking communication base station and determining a grid elevation digital map according to the longitude and latitude of the trunking communication base station.
And after acquiring longitude and latitude of the trunking communication base station, extracting a grid elevation digital map required around the base station. Extracting an integer point coordinate matrix [ M|M= (i, j) of the elevation digital map, wherein i is more than or equal to 0 and less than or equal to X, and j is more than or equal to 0 and less than or equal to Y]Wherein X is the number of horizontal rows of the grid, and Y is the number of vertical rows of the grid. Calculating the whole base stationCoordinates of several points (x) b ,y b ). i is the ordinate, j is the abscissa, and M is the coordinate matrix.
Step 102: a plurality of starting points are set in the grid elevation digital map.
Step 103: and extracting a link coordinate set of a profile connecting line between each starting point and the transmitting station by using a Blisenham algorithm.
Step 104: and performing line-of-sight communication judgment according to the link coordinate sets to obtain a line-of-sight communication area judgment data set and a diffraction area judgment data set.
Step 104 specifically includes: calculating a profile elevation data set and a distance set between a point on the profile and a transmitting station according to each link coordinate set; and defining a diffraction area of the link section by utilizing a modified visual point algorithm according to the section elevation data set and the distance set to obtain a plurality of vision distance communication area judging data sets and a plurality of diffraction area judging data sets.
And defining a diffraction area of a link section by utilizing an improved visual point algorithm according to the section elevation data set and the distance set to obtain a plurality of vision distance communication area judging data sets and a plurality of diffraction area judging data sets, wherein the method specifically comprises the following steps of: calculating the slope between each point of the link profile and the origin according to the profile elevation data set and the distance set; the origin is a trunking communication base station; and performing diffraction region demarcation according to the slope to obtain a plurality of vision distance communication region judgment data sets and a plurality of diffraction region judgment data sets.
In practical application, the upper left corner (0, Y) of the grid map is designated as the first starting point, and the Blaston Ham algorithm is used to extract the points (0, Y) and the transmitting site (x) b ,y b ) Link coordinate set R on cross-section line between 1 ＝[(0,Y),...,(x b ,y b )]And extracting profile elevation data set through profile coordinate setCalculating the distance set of the point on the section and the transmitting station>
At the time of knowing distance setAnd profile elevation dataset +>Based on the above, the line-of-sight communication determination is performed. Using the improved nearest neighbor viewpoint algorithm to define the line-of-sight communication area, the primary diffraction area, the secondary diffraction area, … … and the N diffraction areas of the link section to obtain a diffraction area determination number set S 1 ＝[s 1 ,...,s k ]，s i Is an integer number, s i =0 represents that the i point is divided into the line-of-sight communication area s i N represents the division of the i-point into n diffraction regions.
FIG. 1 is a diffraction zone demarcation algorithm, i.e., an improved visual point algorithm, for demarcating diffraction zones in a cluster communication link profile according to the present invention, comprising the steps of:
setting a trunking communication base station as an origin, and calculating a slope k between a neighboring first point and the origin 1 The first point is in the line-of-sight communication area s by default 1 =0, calculating the slope k between the second point and the origin 2 It is evident that k 2 ＞k 1 When the second point is considered to be in the line-of-sight communication region s 2 =0, and so on, until p-point, k is calculated p ＞k p-1 The p point is in the line-of-sight communication area s p =0, but know k p+1 ＜k p I.e. the first point after point p is in the primary diffraction region s p+1 =1. The line-of-sight communication area s can be defined 1 ＝0,...,s p ＝0]。
The point q at which the slope decreases is calculated in the same way to define the primary diffraction region s p+1 ＝1,...,s q ＝1]。
And so on, until all diffraction areas s defining the link profile are calculated 1 ,...,s n ]。
Step 105: and calculating a path loss value set of all points on each link coordinate set according to the plurality of line-of-sight communication area judging data sets and the plurality of diffraction area judging data sets by using a double-line model and a blade diffraction principle.
Step 105 specifically includes: calculating a path loss value set of the line-of-sight communication area by using a double-line model according to the line-of-sight communication area judging data set; determining a virtual emission source from the diffraction region decision dataset; and calculating a path loss value set of each point of the primary and multiple diffraction areas by adopting a blade peak diffraction principle according to the virtual emission source.
Determining a number set S of diffraction regions 1 ＝[s 1 ,…,s k ]On the basis, a path loss value defined as a line-of-sight communication area is first calculated. Calculating a set T of path loss values of a line-of-sight communication area by using a two-line model 1 1 ＝[t 1 ,…,t p ]。
Extracting a primary diffraction area, using the primary diffraction area and a line-of-sight communication boundary point as a virtual emission source 1, calculating an equivalent emission power at the virtual emission source 1 by using a double-line model, and calculating a loss value T of each point of the primary diffraction area by using a blade diffraction principle 1 2 ＝[t p+1 ,...,t q ]。
In the secondary diffraction region, the equivalent emission power of the virtual emission source 2 is calculated based on the obtained path loss value of the junction between the secondary diffraction region and the primary diffraction region, and the loss value T of each point of the secondary diffraction region is calculated by using the blade diffraction principle 1 3 ＝[t q+1 ,...,t w ]。
Similarly, a set of path loss values for the multiple diffraction regions is calculated.
Up to the link coordinate set R 1 ＝[(0,Y),...,(x b ,y b )]Set of path loss values T for all points above 1 ＝[t 1 ,...,t k ]The calculation is completed.
Updating the starting point, extracting (1, Y) as the starting point of the second link, calculating to make (1, Y) and transmitting stationCoordinate data set R of cross section for trunked radio 2 ＝[(1,Y),...,(x b ,y b )]Extracting profile elevation data setsDistance set->On the basis of which a coordinate data set R is calculated 2 ＝[(1,Y),...,(x b ,y b )]Path loss value set T for all points communicating with transmitting station cluster 2 ＝[t 1 ,...,t v ]。
Fig. 2 is a blade diffraction algorithm for calculating path loss values of cross-section areas of trunked communication links in the present invention, which specifically includes the following steps:
the receiving points are positioned in a signal shadow region, all geometric parameters in the propagation process are integrated into a single normalized dimensionless parameter represented by v, and according to different selected geometric parameters, the calculation mode of v is as follows 4:
①
②
③(the sign of v depends on h and θ)
④(v's sign depends on alpha 1 And alpha 2 )
Wherein h represents the height of the top of the obstacle; d, d 1 And d 2 Representing the distance between the top of the obstacle and the two points; d represents the distance; θ is the winding angle (radian); alpha 1 And alpha 2 An included angle (in radians) is formed between the top of the barrier and the other end when the barrier is seen from one end; lambda is the wavelength.
Bringing the calculated parameter v into the calculation formula of the diffraction loss T (v):
wherein C (v) and S (v) are the real and imaginary parts, respectively, in the complex Fresnel integral F (v).
Step 106: and extracting path loss value sets corresponding to all the starting points serving as points on the boundary according to a boundary searching algorithm.
And (3) clockwise extracting points on all boundaries as starting points and cluster communication loss value sets on a coordinate data set between the cluster communication base stations according to the sequence of boundary searching. Thus, the path loss value set t= [ t|t=t (i, j) ] between all coordinate points on the grid map and the base station is calculated.
Step 107: calculating the receiving level values and the communication probability of all points in the target area according to the path loss value sets corresponding to the points with all the starting points as the boundaries; the reception level value and the communication probability are used to represent a trunking communication coverage effect. The reception level B of all points in the target area, and the communication probability Z are calculated on the basis of the communication loss value. So far, the cluster communication coverage effect in the target area is calculated. The reception level value is calculated by subtracting the calculated path loss value from the known transmission power value.
FIG. 3 is a diagram of a boundary search algorithm in the present invention, specifically comprising the steps of:
(1) Calculating the point (0, Y) and the transmitting site (x) with the upper left corner (0, Y) of the grid map as the starting point b ,y b ) Path loss value T for all points of the cross-section link between 1 ＝(t 1 ,...,t k )。
(2) Calculating the upper boundary second point (1, Y) and the transmitting station (x) in clockwise order b ,y b ) Path loss value T for all points of the cross-section link between 2 ＝(t 1 ,...,t m )。
(3) And so on until all points on the grid map and the transmitting site path loss value T are calculated.
The invention also provides a system for predicting communication coverage of the large-area cluster, which comprises the following steps:
the acquisition module is used for acquiring the longitude and latitude of the trunking communication base station and determining the grid elevation digital map according to the longitude and latitude of the trunking communication base station.
And the setting module is used for setting a plurality of starting points in the grid elevation digital map.
And the link coordinate set determining module is used for extracting the link coordinate set of the profile connecting line between each starting point and the transmitting station by using the Blaston Ham algorithm.
And the line-of-sight communication judging module is used for carrying out line-of-sight communication judgment according to the link coordinate sets to obtain a plurality of line-of-sight communication area judging data sets and a plurality of diffraction area judging data sets.
And the calculation module is used for calculating a path loss value set of all points on each link coordinate set according to the plurality of line-of-sight communication area judging data sets and the plurality of diffraction area judging data sets by using a double-line model and a blade peak diffraction principle.
And the extracting module is used for extracting the path loss value sets corresponding to all the starting points serving as the points on the boundary according to the boundary searching algorithm.
The receiving level value and communication probability calculation module is used for calculating the receiving level values and communication probabilities of all points in the target area according to the path loss value sets corresponding to the points on which all the starting points are the boundaries; the reception level value and the communication probability are used to represent a trunking communication coverage effect.
As an alternative embodiment, the line-of-sight communication determination module specifically includes:
and the profile elevation data set and distance set calculation unit is used for calculating the profile elevation data set and the distance set between the point on the profile and the transmitting station according to each link coordinate set.
And the diffraction area demarcation unit is used for demarcating the diffraction area of the link section by utilizing the improved visual point algorithm according to the section elevation data set and the distance set to obtain a plurality of vision distance communication area judgment data sets and a plurality of diffraction area judgment data sets.
The present invention also provides an electronic device including: one or more processors; a storage device having one or more programs stored thereon; the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the methods as described.
The invention also provides a computer storage medium having stored thereon a computer program which, when executed by a processor, implements a method as described.
The invention aims to provide an efficient and scientific communication coverage prediction algorithm for performance evaluation and site selection planning of a cluster communication base station. The method mainly relates to a method for rapidly measuring coverage capacity of a trunking communication area of a large area system. The invention is based on a digital elevation map, introduces the Blaston Ham algorithm as a means for extracting the profile, adopts a diffraction region demarcation algorithm, and calculates and demarcates a vision distance communication region, a primary diffraction region and other multiple diffraction regions. And in the line-of-sight communication area, calculating the path loss value of the trunking communication by adopting a double-line model. And determining diffraction loss values from the virtual emission source to each position of the diffraction area according to the ITU-R P.526-15 recommendation peak diffraction principle by taking the boundary point of the primary diffraction area and the line-of-sight communication area as a virtual emission source, and obtaining the path loss value of the primary diffraction area. And so on until the whole link calculation is completed. And on the basis of calculating the path loss value of the single link, introducing a boundary search algorithm, and calculating the path loss values of all positions in the target area to finish a rapid communication coverage prediction algorithm of the large-area system cluster. The invention can simplify the prediction difficulty of the cluster communication coverage under the condition of large-area system, rapidly measure the cluster communication coverage effect in the target area, provide a means for evaluating the construction efficiency of the cluster communication base station, and provide a scientific and objective analysis tool for planning and designing the cluster base station.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.
Claims (8)
1. A method for predicting coverage of a large-area cluster communication, comprising:
acquiring longitude and latitude of a trunking communication base station and determining a grid elevation digital map according to the longitude and latitude of the trunking communication base station;
setting a plurality of starting points in the grid elevation digital map;
extracting a link coordinate set of a profile connecting line between each starting point and a transmitting station by using a Blisenham algorithm;
performing line-of-sight communication judgment according to the link coordinate sets to obtain a plurality of line-of-sight communication area judgment data sets and a plurality of diffraction area judgment data sets;
calculating a path loss value set of all points on each link coordinate set by utilizing a double-line model and a blade diffraction principle according to a plurality of line-of-sight communication area judging data sets and a plurality of diffraction area judging data sets;
extracting path loss value sets corresponding to all starting points serving as points on the boundary according to a boundary searching algorithm;
calculating the receiving level values and the communication probability of all points in the target area according to the path loss value sets corresponding to the points with all the starting points as the boundaries; the reception level value and the communication probability are used to represent a trunking communication coverage effect.
2. The method for predicting communication coverage of a large-area cluster according to claim 1, wherein performing line-of-sight communication determination based on a plurality of the link coordinate sets to obtain a plurality of line-of-sight communication area determination data sets and a plurality of diffraction area determination data sets, comprises:
calculating a profile elevation data set and a distance set between a point on the profile and a transmitting station according to each link coordinate set;
and defining a diffraction area of the link section by utilizing a modified visual point algorithm according to the section elevation data set and the distance set to obtain a plurality of vision distance communication area judging data sets and a plurality of diffraction area judging data sets.
3. The method of claim 2, wherein the defining the diffraction area of the link profile according to the profile elevation data set and the distance set by using a modified visual point algorithm to obtain a plurality of line-of-sight communication area determination data sets and a plurality of diffraction area determination data sets, specifically comprises:
calculating the slope between each point of the link profile and the origin according to the profile elevation data set and the distance set; the origin is a trunking communication base station;
and performing diffraction region demarcation according to the slope to obtain a plurality of vision distance communication region judgment data sets and a plurality of diffraction region judgment data sets.
4. The method of claim 1, wherein calculating a set of path loss values for all points on each link coordinate set from a plurality of said line-of-sight communication area determination data sets and a plurality of said diffraction area determination data sets using a two-wire model and a blade diffraction principle, comprises:
calculating a path loss value set of the line-of-sight communication area by using a double-line model according to the line-of-sight communication area judging data set;
determining a virtual emission source from the diffraction region decision dataset;
and calculating a path loss value set of each point of the primary and multiple diffraction areas by adopting a blade peak diffraction principle according to the virtual emission source.
5. A large area trunking communication coverage prediction system, comprising:
the acquisition module is used for acquiring the longitude and latitude of the trunking communication base station and determining a grid elevation digital map according to the longitude and latitude of the trunking communication base station;
the setting module is used for setting a plurality of starting points in the grid elevation digital map;
the link coordinate set determining module is used for extracting a link coordinate set of a profile connecting line between each starting point and the transmitting station by utilizing a Blisenhame algorithm;
the line-of-sight communication judging module is used for carrying out line-of-sight communication judgment according to the link coordinate sets to obtain a plurality of line-of-sight communication area judging data sets and a plurality of diffraction area judging data sets;
the calculation module is used for calculating a path loss value set of all points on each link coordinate set according to the plurality of line-of-sight communication area judging data sets and the plurality of diffraction area judging data sets by using a double-line model and a blade diffraction principle;
the extraction module is used for extracting path loss value sets corresponding to all the starting points serving as points on the boundary according to the boundary search algorithm;
the receiving level value and communication probability calculation module is used for calculating the receiving level values and communication probabilities of all points in the target area according to the path loss value sets corresponding to the points on which all the starting points are the boundaries; the reception level value and the communication probability are used to represent a trunking communication coverage effect.
6. The system for predicting coverage of a large area cluster communication of claim 5, wherein the line-of-sight communication determination module comprises:
a section elevation data set and distance set calculation unit for calculating a section elevation data set and a distance set between a point on the section and a transmitting station according to each link coordinate set;
and the diffraction area demarcation unit is used for demarcating the diffraction area of the link section by utilizing the improved visual point algorithm according to the section elevation data set and the distance set to obtain a plurality of vision distance communication area judgment data sets and a plurality of diffraction area judgment data sets.
7. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-4.
8. A computer storage medium, having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the method of any of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310813355.1A CN116634474A (en) | 2023-07-05 | 2023-07-05 | Method, system, equipment and medium for predicting communication coverage of large-area cluster |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310813355.1A CN116634474A (en) | 2023-07-05 | 2023-07-05 | Method, system, equipment and medium for predicting communication coverage of large-area cluster |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116634474A true CN116634474A (en) | 2023-08-22 |
Family
ID=87641997
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310813355.1A Pending CN116634474A (en) | 2023-07-05 | 2023-07-05 | Method, system, equipment and medium for predicting communication coverage of large-area cluster |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116634474A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8423047B1 (en) * | 2011-03-09 | 2013-04-16 | Sprint Communications Company L.P. | Statistical method for determining the location of a mobile device |
| CN109167643A (en) * | 2018-07-06 | 2019-01-08 | 北京航空航天大学 | A kind of UAV Communication signal simulation generation method based on GIS geographical environment |
| CN114158103A (en) * | 2021-12-01 | 2022-03-08 | 西北工业大学 | Collaborative heterogeneous air network design and deployment optimization method and system |
| CN116017488A (en) * | 2023-01-04 | 2023-04-25 | 中国人民解放军61905部队 | Boundary search-based large-area scattering communication coverage prediction method and system |
| CN116032823A (en) * | 2023-01-03 | 2023-04-28 | 中国人民解放军61905部队 | Method and system for rapidly calculating scattering communication link based on digital elevation map |
-
2023
- 2023-07-05 CN CN202310813355.1A patent/CN116634474A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8423047B1 (en) * | 2011-03-09 | 2013-04-16 | Sprint Communications Company L.P. | Statistical method for determining the location of a mobile device |
| CN109167643A (en) * | 2018-07-06 | 2019-01-08 | 北京航空航天大学 | A kind of UAV Communication signal simulation generation method based on GIS geographical environment |
| CN114158103A (en) * | 2021-12-01 | 2022-03-08 | 西北工业大学 | Collaborative heterogeneous air network design and deployment optimization method and system |
| CN116032823A (en) * | 2023-01-03 | 2023-04-28 | 中国人民解放军61905部队 | Method and system for rapidly calculating scattering communication link based on digital elevation map |
| CN116017488A (en) * | 2023-01-04 | 2023-04-25 | 中国人民解放军61905部队 | Boundary search-based large-area scattering communication coverage prediction method and system |
Non-Patent Citations (1)
| Title |
|---|
| 李凤花: "基于eMBB业务的5G上行覆盖能力分析", 《山东通信技术》, vol. 40, no. 3 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20160323753A1 (en) | Rapid indoor wireless signal fingerprint database creation through calibration of ray-tracing propagation model | |
| CN110418354A (en) | It is a kind of that propagation model wireless network planning method is exempted from based on machine learning | |
| CN111083711B (en) | 5G station-opening core parameter automatic planning method based on intelligent scoring algorithm | |
| CN103686759B (en) | TD-LTE system Cell Site Placement method and apparatus | |
| CN105813092B (en) | A kind of building network coverage optimization method and device based on ticket | |
| CN104093205A (en) | Method for deploying anchor nodes of wireless positioning system based on received signal strength indication | |
| US20090280799A1 (en) | Radio-wave propagation characteristic prediction assisting system and radio-wave propagation characteristic prediction assisting method | |
| CN111935732B (en) | Method, device, computer system and server for identifying network coverage structure holes | |
| CN102984745A (en) | Combined estimation method for Wi-Fi AP (wireless fidelity access point) position and path loss model | |
| CN104394535A (en) | Base station planning method for cooperative communication | |
| CN102665273A (en) | Wireless sensor network node positioning method | |
| CN116017488B (en) | Boundary search-based large-area scattering communication coverage prediction method and system | |
| CN110636515A (en) | Network planning evaluation method of electric power wireless private network | |
| CN107318114B (en) | Method and device for planning adjacent cells | |
| CN105657726A (en) | PCI planning based base station location method | |
| CN106332130B (en) | Base station investigation method, device and system | |
| CN114828026A (en) | Base station planning method, device, equipment, storage medium and program product | |
| CN102487516A (en) | Method and device for performing automatic plot planning optimization by utilizing drive test data | |
| CN107682863B (en) | Power base station selection and layout method | |
| CN103563448A (en) | Method, server and system for determining site | |
| CN111447677B (en) | High-load geographic grid identification and positioning method, system and storage medium | |
| CN107872805B (en) | Parameter acquisition method and device and network side equipment | |
| CN116634474A (en) | Method, system, equipment and medium for predicting communication coverage of large-area cluster | |
| US20040106410A1 (en) | Apparatus and method for estimating cell coverage using interference model | |
| CN110351733B (en) | Signal covering method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |