CN114339779B - Method and device for determining azimuth angle of base station cell - Google Patents
Method and device for determining azimuth angle of base station cell Download PDFInfo
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Abstract
The application provides a method and a device for determining azimuth angle of a base station cell, wherein the method comprises the following steps: acquiring the industrial parameter information of a target cell and peripheral cells; determining the switching probability of the target cell and each peripheral cell according to the industrial parameter information; determining overlapping coverage probability of overlapping coverage areas of each peripheral cell and the target cell in the coverage area of the target cell according to the industrial parameter information and a preset azimuth characteristic value; determining a mapping relation between an azimuth characteristic value and a target characteristic value according to the switching probability and the overlapping coverage probability, wherein the target characteristic value is used for representing the relation between the overlapping coverage probability of the target cell and each peripheral cell and the switching probability; and according to the determined mapping relation, determining the azimuth angle characteristic value which enables the target characteristic value to be minimum as the azimuth angle of the target cell. The embodiment of the invention solves the problems of time consumption and labor consumption of the traditional station-up checking; the method can solve the problem of error leakage of the azimuth angle of the checking cell, and has lower checking cost and higher efficiency and accuracy.
Description
Technical Field
The embodiment of the invention relates to the technical field of mobile communication, in particular to a method and a device for determining a base station cell azimuth angle.
Background
The cell engineering parameters are the basis of network optimization, and the cell azimuth is an important component of the cell engineering parameters. With the increasing size of networks, the conventional way of checking the azimuth angle of a cell by a station is more time-consuming and labor-consuming. When the conventional station checking mode is difficult to meet the daily network optimization requirement, network optimizers are urgent to need a more efficient mode for checking the cell azimuth angle.
Currently, there are two main methods for acquiring the azimuth of a cell, the first is conventional station-up checking; and secondly, selecting 3 to 5 sites with the largest switching times according to the cell switching relation, and then roughly judging the range of the azimuth angle by a trigonometric formula by combining the longitude and latitude of the target cell and the cell with the largest switching times.
However, the existing approaches have the following disadvantages: the network scale is increasingly huge, and time and effort are consumed for the upper station to check the azimuth angle of the cell; the problem of error leakage of the azimuth angle of a certain cell is difficult to find, and the checking is inaccurate.
Disclosure of Invention
The embodiment of the invention provides a method and a device for determining a cell azimuth of a base station, which are used for solving the problems that in the prior art, a cell azimuth is time-consuming and labor-consuming to check by an upper station, the error and leakage of a certain cell azimuth are difficult to find, and the checking is inaccurate.
A first aspect of an embodiment of the present invention provides a method for determining an azimuth angle of a base station cell, including:
acquiring the industrial parameter information of a target cell and peripheral cells;
determining the switching probability between the target cell and each peripheral cell according to the industrial parameter information;
determining the overlapping coverage probability of the overlapping coverage area between each peripheral cell and the target cell in the coverage area of the target cell according to the industrial parameter information and the preset azimuth characteristic value;
determining a mapping relation between the azimuth characteristic value and a target characteristic value according to the switching probability and the overlapping coverage probability, wherein the target characteristic value is used for representing the relation between the overlapping coverage probability and the switching probability of a target cell and each peripheral cell;
and determining the azimuth characteristic value which enables the target characteristic value to be minimum as the azimuth of the target cell according to the mapping relation between the azimuth characteristic value and the target characteristic value.
Optionally, the parameter information includes total switching times of each cell and switching times between cells;
the determining the switching probability between the target cell and each peripheral cell according to the parameter information comprises the following steps:
and determining the ratio of the switching times between each peripheral cell and the target cell to the total switching times of the target cell as the switching probability between the target cell and each peripheral cell.
Optionally, the industrial parameter information comprises a cell included angle and a cell coverage area radius;
the obtaining the parameter information of the target cell and the peripheral cell includes:
determining an included angle of each cell according to the number of sectors and the circumferential angle of the base station to which each cell belongs;
and determining the coverage area radius of each cell according to the station height, the downward inclination angle and the vertical beam width of each cell.
Optionally, the industrial parameter information further comprises cell longitude and latitude;
the step of determining the overlapping coverage probability of the overlapping coverage area between each peripheral cell and the target cell in the coverage area of the target cell according to the industrial parameter information and the preset azimuth characteristic value comprises the following steps:
calculating the coverage area of the target cell according to the cell included angle and the coverage area radius of the target cell;
calculating to obtain the overlapping coverage area of the target cell and each peripheral cell according to the cell longitude and latitude, the cell included angle, the coverage area radius and the azimuth characteristic value of the target cell and each peripheral cell;
and determining the ratio of the overlapping coverage area between each peripheral cell and the target cell to the coverage area of the target cell as the overlapping coverage probability of each peripheral cell and the target cell.
Optionally, the mapping relationship between the azimuth characteristic value and the target characteristic value is:
wherein H represents a target characteristic value, alpha represents an azimuth characteristic value, M n Indicating the number of handovers between the nth peripheral cell and the target cell, P (M n ) Representing the probability of handover between the nth peripheral cell and the target cell, S n Represents the overlapping coverage area between the nth peripheral cell and the target cell, P (S n ) Representing overlapping coverage probability, W, of an overlapping coverage area between an nth peripheral cell and the target cell occupying the coverage area of the target cell n Representing the weight coefficient.
A second aspect of an embodiment of the present invention provides a device for determining an azimuth of a base station cell, including:
the acquisition module is used for acquiring the industrial parameter information of the target cell and the peripheral cells;
the calculation module is used for determining the switching probability between the target cell and each peripheral cell according to the industrial parameter information;
the calculation module is further used for determining overlapping coverage probability of the overlapping coverage area between each peripheral cell and the target cell in the coverage area of the target cell according to the industrial parameter information and a preset azimuth characteristic value;
the determining module is used for determining a mapping relation between the azimuth characteristic value and a target characteristic value according to the switching probability and the overlapping coverage probability, wherein the target characteristic value is used for representing the relation between the overlapping coverage probability and the switching probability of the target cell and each peripheral cell;
the determining module is further configured to determine, according to a mapping relationship between the azimuth characteristic value and a target characteristic value, an azimuth characteristic value that minimizes the target characteristic value as an azimuth of the target cell.
Optionally, the parameter information includes total switching times of each cell and switching times between cells;
the computing module is specifically configured to: and determining the ratio of the switching times between each peripheral cell and the target cell to the total switching times of the target cell as the switching probability between the target cell and each peripheral cell.
Optionally, the industrial parameter information comprises a cell included angle and a cell coverage area radius;
the acquisition module is specifically configured to: determining an included angle of each cell according to the number of sectors and the circumferential angle of the base station to which each cell belongs; and determining the coverage area radius of each cell according to the station height, the downward inclination angle and the vertical beam width of each cell.
A third aspect of an embodiment of the present invention provides a computer apparatus, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor executes the method for determining the azimuth angle of the base station cell provided in the first aspect of the embodiment of the present invention.
A fourth aspect of the embodiment of the present invention provides a computer readable storage medium, where computer executable instructions are stored, and when a processor executes the computer executable instructions, the method for determining a base station cell azimuth provided in the first aspect of the embodiment of the present invention is implemented.
The embodiment of the invention provides a method and a device for determining azimuth angles of a base station cell, wherein the method comprises the steps of acquiring industrial parameter information of a target cell and surrounding cells; then determining the pairwise switching relation between the target cell and each peripheral cell according to the industrial parameter information; therefore, the mapping relation between the azimuth characteristic value and the target characteristic value can be determined according to the pairwise switching relation, and the target characteristic value is used for representing the relation between the overlapping coverage probability and the switching probability of the target cell and each peripheral cell; and determining an azimuth angle characteristic value which enables the target characteristic value to be minimum as an azimuth angle of the target cell. The problems of time consumption and labor consumption of traditional station checking are solved. By the method, the problem of error leakage of the azimuth angle of the cell can be checked, and the checking cost is lower, and the efficiency and the accuracy are higher.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive faculty for a person skilled in the art.
Fig. 1 is a flowchart illustrating a method for determining a base station cell azimuth according to an exemplary embodiment of the present invention;
fig. 2 is a flowchart illustrating a method for determining a base station cell azimuth according to another exemplary embodiment of the present invention;
FIG. 3 is a diagram of a cell overlay coverage model, shown in accordance with an exemplary embodiment of the present invention;
fig. 4 is a diagram of a cell maximum coverage radius, according to an exemplary embodiment of the present invention;
fig. 5 is a diagram of a cell coverage area model, shown in accordance with an exemplary embodiment of the present invention;
FIG. 6 is a diagram of a cell coverage main lobe model, shown in accordance with an exemplary embodiment of the present invention;
fig. 7 is a boundary continuous point distribution diagram of a cell coverage sector area according to an exemplary embodiment of the present invention;
fig. 8 is a diagram of a cell overlap coverage area as illustrated in an exemplary embodiment of the present invention;
fig. 9 is a schematic structural diagram of a base station cell azimuth determining device according to an exemplary embodiment of the present invention;
fig. 10 is a schematic structural view of a computer device according to an exemplary embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, 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 terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented, for example, in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the related art, the cell parameter is the basis of network optimization, and the cell azimuth is an important component of the cell parameter. With the increasing size of networks, the conventional way of checking the azimuth angle of a cell by a station is more time-consuming and labor-consuming. When the conventional station checking mode is difficult to meet the daily network optimization requirement, network optimizers are urgent to need a more efficient mode for checking the cell azimuth angle. Currently, there are two main methods for acquiring the azimuth of a cell, the first is conventional station-up checking; and secondly, selecting 3 to 5 sites with the largest switching times according to the cell switching relation, and then roughly judging the range of the azimuth angle by a trigonometric formula by combining the longitude and latitude of the target cell and the cell with the largest switching times. However, the existing approaches have the following disadvantages: the network scale is increasingly huge, and time and effort are consumed for the upper station to check the azimuth angle of the cell; the problem of error leakage of the azimuth angle of a certain cell is difficult to find, and the checking is inaccurate.
Aiming at the defect, the technical conception of the technical scheme of the invention is as follows: since the inter-cell handover relationship exists, it is indicated that there is an overlapping coverage area between two cells, and the larger the overlapping coverage area is, the higher the inter-cell handover probability is, as shown in fig. 3, the overlapping coverage area between the target cell 301 and the first cell 302 is larger than the overlapping coverage area between the target cell and the second cell 303, and the handover probability between the first cell and the second cell is higher. Based on this, it is known from the cell coverage model that the cell overlap coverage area is related in three-dimensional space to the cell longitude and latitude, the station height, the downtilt angle, and the vertical lobe (beam) width, as shown in fig. 4, h in fig. 4 represents the cell station height, downtilt angle is represented by ρ, vertical beam width is represented by σ, r min The minimum coverage radius of the cell is indicated, and r indicates the maximum coverage radius of the cell. The longitude and latitude of the target cell are mapped into two-dimensional space coordinates (x, y), the cell coverage area is a sector area, the cell coverage main lobe can be simplified into two-dimensional space vectors with a direction angle alpha and a module of 1, as shown in fig. 5, alpha is an azimuth angle, and r is the maximum coverage radius x and y respectively represent the longitude and the latitude of the cell. In general, the more the number of handover times between a target cell and a certain cell is, the larger the overlapping coverage area between the target cell and the cell is, the more the azimuth angle α of the target cell is close to the cell, as shown in fig. 6, the coverage main lobe of the target cell is a space vector with coordinates (x, y) as the starting point, the direction α and the mode 1, and the most number of handover times with the target cell is selectedThe number of handovers between the target cell and the five cells is 2314, 2119, 1802, 150 and 120 in this order, and then the azimuth of the target cell is closer to the direction of the cell having 2314 handovers. Therefore, according to the switching probability and the overlapping coverage area between the target cell and the surrounding cells, a cell azimuth calculation model is established, the calculation model is used for representing the mapping relation between the cell azimuth and a target characteristic value, the target characteristic value is used for representing the relation between the switching probability and the probability that the overlapping coverage area occupies the area occupied by the target cell, the smaller the target characteristic value is, the closer the switching probability and the overlapping coverage area probability between the target cell and the cell are, and the azimuth of the target cell is closer to the direction of the cell; therefore, through the mapping relation between the azimuth angle of the cell and the target characteristic value, the azimuth angle value which enables the target characteristic value to be minimum can be found, and then the azimuth angle value is the azimuth angle of the target cell.
Fig. 1 is a flowchart illustrating a method for determining a base station cell azimuth according to an exemplary embodiment of the present invention.
As shown in fig. 1, the method provided in this embodiment may include the following steps.
S101, acquiring the industrial parameter information of the target cell and the peripheral cells.
The industrial parameter information comprises cell switching times, cell included angles, cell coverage area radius, cell longitude and latitude and the like.
Specifically, the number of cell switching can obtain a cell pairwise switching list through positioning reference signals (Positioning reference signals, PRS), and count the total switching number of the target cell and the pairwise switching number of the target cell and the surrounding cells according to the switching list. The longitude and latitude of the cell can be acquired by a positioning device.
In one possible embodiment, the cell included angle and the cell coverage radius may be measured by a correlation measuring instrument and calculated from the correlation parameters. Determining an included angle of each cell according to the number of sectors and the circumferential angle of a base station to which each cell belongs; and determining the coverage area radius of each cell according to the station height, the downward inclination angle and the vertical beam width of each cell.
Specifically, the number of co-sited sectors of the target cell is obtained according to the cell reference table, and the circumferential angle is fixed to 360 degrees, so that the ratio of 360 to the number of co-sited sectors is the cell included angle of the target cell; let the cell included angle be θ, then:
the station height h, the downtilt angle ρ and the vertical beam width sigma of the cell are measured by the related measuring instrument, and referring to fig. 4, the cell coverage area radius formula can be obtained as follows
And selecting the maximum coverage distance as the coverage radius of the cell according to the radius calculation formula, namely taking the maximum value of r.
S102, determining the switching probability between the target cell and each peripheral cell according to the industrial parameter information.
Specifically, a ratio of the number of handovers between each peripheral cell and the target cell to the total number of handovers of the target cell is determined as a handover probability between the target cell and each peripheral cell.
Specifically, assuming total switching times M of a target cell, after obtaining a cell pairwise switching list through PRS, counting pairwise switching times of the target cell and each peripheral cell according to the pairwise switching list, arranging the pairwise switching times in a descending order, selecting n peripheral cells with the largest pairwise switching times, and marking the switching times as M respectively 1 ，M 2 …, mn, there are
According to the probability formula, the number of times of handover with the target cell is M n Handover of a cell of (a) with a target cellProbability of->
And S103, determining the overlapping coverage probability of the overlapping coverage area between each peripheral cell and the target cell to occupy the coverage area of the target cell according to the industrial parameter information and the preset azimuth characteristic value.
In a possible embodiment, as shown in fig. 2, the method for calculating the overlapping coverage probability that the overlapping coverage area between each peripheral cell and the target cell occupies the coverage area of the target cell may include the following steps.
S201, calculating the coverage area of the target cell according to the cell included angle and the coverage area radius of the target cell.
Specifically, the coverage area of the target cell is a sector area, and the coverage area of the sector area
Wherein r is the radius of the coverage area, and the cell included angle θ is the fan-shaped included angle.
S202, according to the cell longitude and latitude, the cell included angle, the coverage area radius and the azimuth angle characteristic value of the target cell and each peripheral cell, calculating to obtain the overlapping coverage area of the target cell and each peripheral cell.
Specifically, the overlapping coverage area of each peripheral cell and the target cell is calculated in sequence, the overlapping areas are arranged in a descending order, n peripheral cells with the largest overlapping area are taken, and the overlapping areas are respectively marked as S 1 ，S 2 ，…，S n 。
In one possible embodiment, if the longitude and latitude (x, y) of the cell, the azimuth angle α, the included angle θ, and the radius r are known, that is, the sector area S of the cell coverage area on the two-dimensional plane is determined. The position relationship of the two sectors is also determined, namely, the overlapping area S of the two sectors can be calculated through the longitude and latitude, azimuth angle, included angle and radius of the two cells n . The specific calculation process is as follows:
to simplify transportationInstead of the 14 points of the sector area, the 14 points on the sector edge can be marked as k=1, 2, 3 … and 14 by taking 1 step and taking 14 continuous points on the sector edge to form a polygon. As shown in fig. 7, 14 points are selected on the boundary of the sector area covered by the target cell, and the abscissa X of 14 consecutive points can be determined in combination with the cell coverage diagram in two-bit space shown in fig. 5 k And Y k The calculation mode of (2) is as follows:
wherein X and y are the longitude and latitude of the cell, respectively, and the abscissa X k And Y k Representing the longitude and latitude, respectively, of the kth point.
The polygon formed by 14 continuous points is [ (X, y), (X) calculated by the above method 1 ，Y 1 )，…(X 14 ，Y 14 )]And calculating the overlapping area between two polygons converted by the sector areas of the coverage areas of the two cells by using the Polygon geometric figure library, wherein the calculation steps are as follows:
(1) Acquiring longitude and latitude of 14 continuous point sets of the Polygon to generate Polygon polygons P respectively 1 、P 2 。
(2) Overlapping area S n ＝P 1 .intersection(P 2 ).area。
As can be seen from the above description, the overlapping coverage area S n The longitude and latitude set of the cell is determined by the longitude and latitude (x, y), the azimuth angle alpha, the included angle theta and the radius r of the cell according to the longitude and latitude calculation formula. If the longitude and latitude (x, y) included angle of the cell is theta, the radius r is known, and the overlapping area S n Determined by the azimuth angle α. Then there are:
S n ＝f(α)
for example, as shown in fig. 8, when the target cell azimuth angle is α1, it is with the surroundingThe overlapping coverage area of the cells is s 1 When the azimuth angle of the target cell is alpha, the overlapping coverage area of the target cell and the cell is s 1 +s 2 . Thus, the overlapping coverage area S of the nth cell and the target cell n Determined by the azimuth of the target cell.
And S203, determining the ratio of the overlapping coverage area between each peripheral cell and the target cell to the coverage area of the target cell as the overlapping coverage probability of each peripheral cell and the target cell.
Specifically, the coverage area of the target cell is S, and the areas of the n peripheral cells with the largest overlapping area with the coverage area of the target cell are S respectively 1 ，S 2 ，…，S n . Then the probability that the nth cell falls within the overlapping coverage area is known as
And S104, determining a mapping relation between the azimuth characteristic value and a target characteristic value according to the switching probability and the overlapping coverage probability, wherein the target characteristic value is used for representing the relation between the overlapping coverage probability and the switching probability of the target cell and each peripheral cell.
Specifically, as the number of times of switching between the target cell and a certain cell is larger, the overlapping coverage area between the target cell and the certain cell is larger, the switching probability P (M n ) And probability P (S) n ) Positive correlation, if P (M n )＞P(M n-1 ) Then there is P (S) n )＞P(S n-1 ) For a certain cell c, in the ideal case, there is h= |p (M c )-P(S c ) I converges to 0. Then for the formula
Should be as small as possible.
For the target cell C, assuming that the azimuth angle of the target cell C is denoted by α, and the value range of α is [0, 360 ], the coverage area S of the target cell may be simplified to be a sector area with azimuth angle α, included angle θ, and radius r. Then a is in the range 0, 360) there is a value such that H takes a minimum value.
Further, the azimuth angle α of the target cell C should be directed to the high handover number cell as much as possible. If there is P (M) n )＞P(M n-1 )，P(S n )＞P(S n-1 ) Then the following should be satisfied:
|P(M n )-P(S n )|＜|P(M n-1 )-P(S n-1 )|
that is, the cell with the larger number of handovers has a larger overlapping area with the target cell, and the weight factor W n The response is larger. Thus, for the formula
The modification method can be modified as follows:
wherein H represents a target characteristic value, alpha represents an azimuth characteristic value, M n Indicating the number of handovers between the nth peripheral cell and the target cell, P (M n ) Representing the probability of handover between the nth peripheral cell and the target cell, S n Represents the overlapping coverage area between the nth peripheral cell and the target cell, P (S n ) Representing overlapping coverage probability, W, of an overlapping coverage area between an nth peripheral cell and the target cell occupying the coverage area of the target cell n Representing the weight coefficient.
Specifically, the formula may represent the mapping relationship between the azimuth angle and the target characteristic value, and for constructing formula H, the larger the overlapping coverage area between a cell and the target cell, the more times the cell and the target cell are switched, i.e., P (M) n ) And P (S) n ) The cells with more handovers should have a higher weight W than the cells with fewer handovers n ，W n The value may take the cell handover probability, i.e. P (M n ). The smaller the H value, the description P (M n ) And P (S) n ) The closer the approach, the target is shownThe closer the overlapping coverage and handover relationship between a cell and that cell.
Wherein P (M n ) As can be obtained by step S102, P (S n ) The size of which depends on the overlapping coverage area S after the analysis of step S103 n Is overlapped by the size of the coverage area S n By determining the azimuth angle α, the problem can be converted into a certain value within the range of values for the azimuth angle α by the formula, so that the H value is minimized.
And S105, determining the azimuth characteristic value which enables the target characteristic value to be minimum as the azimuth of the target cell according to the mapping relation between the azimuth characteristic value and the target characteristic value.
Specifically, for azimuth α, there are numerous values within the range of value range [0, 360), and in actual network optimization work, azimuth α is a finite set of {0,1,2, …,359 }. The method is finally converted into a solution of the existence of a value alpha in the finite set {0,1,2, …,359} so that the value of the formula H is minimum, and the value of the alpha is the azimuth angle of the target cell.
In this embodiment, the parameter information of the target cell and the peripheral cell is obtained; then determining the pairwise switching relation between the target cell and each peripheral cell according to the industrial parameter information; therefore, the mapping relation between the azimuth characteristic value and the target characteristic value can be determined according to the pairwise switching relation, and the target characteristic value is used for representing the relation between the overlapping coverage probability and the switching probability of the target cell and each peripheral cell; and determining an azimuth angle characteristic value which enables the target characteristic value to be minimum as an azimuth angle of the target cell. The problems of time consumption and labor consumption of traditional station checking are solved. By the method, the problem of error leakage of the azimuth angle of the cell can be checked, and the checking cost is lower, and the efficiency and the accuracy are higher.
For better understanding of the present application, a method for determining a base station cell azimuth angle provided in the present application is described below with a specific example.
First, assuming that the name OF the target cell to be determined is-394843-1-1-OF in Guangzhou-H-Jingxi village, then obtaining a cell-to-cell switching list according to PRS, counting 5 cells with the highest switching times with the target cell, and calculating the switching probability OF the 5 cells and the target cell respectively, wherein the switching times and the switching probability OF the names OF the 5 cells and the target cell are shown in table 1.
TABLE 1
| Cell name | Number of times | Probability of handover |
| Guangzhou-H-Hejingxi moving-395094-2-1-OF | 15885 | 0.763812 |
| Guangzhou-H-Beijing-xi village north-394842-1-1-SF | 2018 | 0.097033 |
| Guangzhou-H-Jingxi village-394843-3-1-OF | 1181 | 0.056787 |
| F Hejingjing xi moving 2-2 | 1029 | 0.049478 |
| Guangzhou-H-Jingxi village-394843-2-1-OF | 684 | 0.032889 |
Second, the cell station height, downtilt angle and vertical beam width are obtained through a cell engineering reference table, and then the maximum coverage radius of the cell is calculated according to the parameters, and the calculation result is shown in table 2.
TABLE 2
| Cell name | Maximum radius of coverage (m) |
| Guangzhou-H-Hejingxi moving-395094-2-1-OF | 291 |
| Guangzhou-H-Beijing-xi village north-394842-1-1-SF | 554 |
| Guangzhou-H-Jingxi village-394843-3-1-OF | 257 |
| F Hejingjing xi moving 2-2 | 291 |
| Guangzhou-H-Jingxi village-394843-2-1-OF | 447 |
Thirdly, obtaining the number of co-sited sectors of the target cell through a cell reference table, and calculating to obtain a cell included angle of the target cell, wherein the number of co-sited sectors is 3 sectors, and the cell included angle is 120 degrees.
Fourth, the initial value of the azimuth angle of the target cell is set to be 1, the overlapping coverage area of the target cell and the surrounding cells is calculated according to the longitude and latitude of the cell, the coverage radius, the cell included angle, the azimuth angle and the like, and 5 cells with the largest overlapping coverage area are selected.
Fifth, according to the overlapping coverage area and the target cell coverage area, the probability of falling into the overlapping coverage area is calculated.
Sixth, determine the formula
The value set of the azimuth angle alpha is {0,1,2, …,359}, the value of the azimuth angle alpha is calculated from 0 until the calculation of the left and right values in the value set of the azimuth angle alpha is completed, and the respective corresponding H value of each alpha value is obtained, and the calculation result is shown in table 3.
TABLE 3 Table 3
| Azimuth angle of target | H value | |
| 1 | 0.946899807826247 | |
| 2 | 0.9449848487073355 | |
| 3 | 0.9430675921806669 | |
| … | … | |
| 31 | 0.8606482272214776 | |
| … | … | |
| 357 | 0.9524273020770666 | |
| 358 | 0.9506151948228568 | |
| 359 | 0.948774733794688 |
Seventh, as can be seen from table 3, when the value of the azimuth α is 31, the corresponding H value is the smallest, and therefore, the azimuth corresponding to the smallest of the H values is determined as the azimuth of the target cell.
Through the steps, the corresponding value OF the direction angle when the H value is the smallest is selected to be 31, the actual industrial parameter table OF the district is inquired, the azimuth angle OF-394843-1-1-OF in Guangzhou-H-Jingxi village is 30, the error range is within +/-10, and the actual use requirements are met.
It should be noted that, the specific calculation method of each parameter in this embodiment may refer to the detailed description in the above related method embodiments, which is not described herein.
Fig. 9 is a schematic structural diagram of a base station cell azimuth determining device according to an exemplary embodiment of the present invention.
As shown in fig. 9, the apparatus provided in this embodiment includes: an acquisition module 901, a calculation module 902, a determination module 903; the acquisition module is used for acquiring the industrial parameter information of the target cell and the peripheral cells; the calculation module is used for determining the switching probability between the target cell and each peripheral cell according to the industrial parameter information; the calculation module is further used for determining overlapping coverage probability of the overlapping coverage area between each peripheral cell and the target cell in the coverage area of the target cell according to the industrial parameter information and a preset azimuth characteristic value; the determining module is used for determining a mapping relation between the azimuth characteristic value and a target characteristic value according to the switching probability and the overlapping coverage probability, wherein the target characteristic value is used for representing the relation between the overlapping coverage probability and the switching probability of the target cell and each peripheral cell; the determining module is further configured to determine, according to a mapping relationship between the azimuth characteristic value and a target characteristic value, an azimuth characteristic value that minimizes the target characteristic value as an azimuth of the target cell.
Further, the industrial parameter information comprises total switching times of each cell and switching times among cells; the computing module is specifically configured to: and determining the ratio of the switching times between each peripheral cell and the target cell to the total switching times of the target cell as the switching probability between the target cell and each peripheral cell.
Further, the industrial parameter information comprises a cell included angle and a cell coverage area radius; the acquisition module is specifically configured to: determining an included angle of each cell according to the number of sectors and the circumferential angle of the base station to which each cell belongs; and determining the coverage area radius of each cell according to the station height, the downward inclination angle and the vertical beam width of each cell.
Further, the industrial parameter information also comprises the longitude and latitude of the cell; the computing module is specifically configured to: calculating the coverage area of the target cell according to the cell included angle and the coverage area radius of the target cell; calculating to obtain the overlapping coverage area of the target cell and each peripheral cell according to the cell longitude and latitude, the cell included angle, the coverage area radius and the azimuth characteristic value of the target cell and each peripheral cell; and determining the ratio of the overlapping coverage area between each peripheral cell and the target cell to the coverage area of the target cell as the overlapping coverage probability of each peripheral cell and the target cell.
Further, the mapping relationship between the azimuth characteristic value and the target characteristic value is:
wherein H represents a target characteristic value, alpha represents an azimuth characteristic value, M n Indicating the number of handovers between the nth peripheral cell and the target cell, P (M n ) Representing the probability of handover between the nth peripheral cell and the target cell, S n Represents the overlapping coverage area between the nth peripheral cell and the target cell, P (S n ) Representing overlapping coverage probability, W, of an overlapping coverage area between an nth peripheral cell and the target cell occupying the coverage area of the target cell n Representing the weight coefficient.
It should be noted that, the specific implementation of each module of the apparatus provided in this embodiment may refer to the description in the related method embodiment, and will not be repeated herein.
Fig. 10 is a schematic hardware structure of a computer device according to an embodiment of the present invention. As shown in fig. 10, the computer device 100 provided in this embodiment includes: at least one processor 1001 and memory 1002. The processor 1001 and the memory 1002 are connected by a bus 1003.
In a specific implementation process, at least one processor 1001 executes computer-executable instructions stored in the memory 1002, so that the at least one processor 1001 performs the method for determining the base station cell azimuth in the above method embodiment.
The specific implementation process of the processor 1001 may refer to the above method embodiment, and its implementation principle and technical effects are similar, and this embodiment will not be described herein again.
In the embodiment shown in fig. 10 described above, it should be understood that the processor may be a central processing unit (english: central Processing Unit, abbreviated as CPU), or may be other general purpose processors, digital signal processors (english: digital Signal Processor, abbreviated as DSP), application specific integrated circuits (english: application Specific Integrated Circuit, abbreviated as ASIC), or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in a processor for execution.
The memory may comprise high speed RAM memory or may further comprise non-volatile storage NVM, such as at least one disk memory.
The bus may be an industry standard architecture (Industry Standard Architecture, ISA) bus, an external device interconnect (Peripheral Component Interconnect, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, the buses in the drawings of the present application are not limited to only one bus or one type of bus.
Another embodiment of the present application provides a computer readable storage medium, where computer executable instructions are stored, and when a processor executes the computer executable instructions, the method for determining a base station cell azimuth in the foregoing method embodiment is implemented.
The computer readable storage medium described above may be implemented by any type of volatile or non-volatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk. A readable storage medium can be any available medium that can be accessed by a general purpose or special purpose computer.
An exemplary readable storage medium is coupled to the processor such the processor can read information from, and write information to, the readable storage medium. In the alternative, the readable storage medium may be integral to the processor. The processor and the readable storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuits, ASIC for short). The processor and the readable storage medium may reside as discrete components in a device.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the method embodiments described above may be performed by hardware associated with program instructions. The foregoing program may be stored in a computer readable storage medium. The program, when executed, performs steps including the method embodiments described above; and the aforementioned storage medium includes: various media that can store program code, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (9)
1. A method for determining a base station cell azimuth angle, comprising:
acquiring the industrial parameter information of a target cell and peripheral cells;
determining the switching probability between the target cell and each peripheral cell according to the industrial parameter information;
determining the overlapping coverage probability of the overlapping coverage area between each peripheral cell and the target cell in the coverage area of the target cell according to the industrial parameter information and the preset azimuth characteristic value;
determining a mapping relation between the azimuth characteristic value and a target characteristic value according to the switching probability and the overlapping coverage probability, wherein the target characteristic value is used for representing the relation between the overlapping coverage probability and the switching probability of a target cell and each peripheral cell;
according to the mapping relation between the azimuth characteristic value and the target characteristic value, determining the azimuth characteristic value which enables the target characteristic value to be minimum as the azimuth of the target cell;
the mapping relation between the azimuth angle characteristic value and the target characteristic value is as follows:
wherein H represents a target characteristic value, alpha represents an azimuth characteristic value, M n Indicating the number of handovers between the nth peripheral cell and the target cell, P (M n ) Representing the probability of handover between the nth peripheral cell and the target cell, S n Represents the overlapping coverage area between the nth peripheral cell and the target cell, P (S n ) Representing overlapping coverage probability, W, of an overlapping coverage area between an nth peripheral cell and the target cell occupying the coverage area of the target cell n Representing the weight coefficient.
2. The method according to claim 1, wherein the parameter information includes a total number of handovers per cell and a number of handovers between cells;
the determining the switching probability between the target cell and each peripheral cell according to the parameter information comprises the following steps:
and determining the ratio of the switching times between each peripheral cell and the target cell to the total switching times of the target cell as the switching probability between the target cell and each peripheral cell.
3. The method of claim 1, wherein the parameter information comprises a cell angle, a cell coverage area radius;
the obtaining the parameter information of the target cell and the peripheral cell includes:
determining an included angle of each cell according to the number of sectors and the circumferential angle of the base station to which each cell belongs;
and determining the coverage area radius of each cell according to the station height, the downward inclination angle and the vertical beam width of each cell.
4. The method of claim 3, wherein the parameter information further comprises cell longitude and latitude;
the step of determining the overlapping coverage probability of the overlapping coverage area between each peripheral cell and the target cell in the coverage area of the target cell according to the industrial parameter information and the preset azimuth characteristic value comprises the following steps:
calculating the coverage area of the target cell according to the cell included angle and the coverage area radius of the target cell;
calculating to obtain the overlapping coverage area of the target cell and each peripheral cell according to the cell longitude and latitude, the cell included angle, the coverage area radius and the azimuth characteristic value of the target cell and each peripheral cell;
and determining the ratio of the overlapping coverage area between each peripheral cell and the target cell to the coverage area of the target cell as the overlapping coverage probability of each peripheral cell and the target cell.
5. A base station cell azimuth determining apparatus, comprising:
the acquisition module is used for acquiring the industrial parameter information of the target cell and the peripheral cells;
the calculation module is used for determining the switching probability between the target cell and each peripheral cell according to the industrial parameter information;
the calculation module is further used for determining overlapping coverage probability of the overlapping coverage area between each peripheral cell and the target cell in the coverage area of the target cell according to the industrial parameter information and a preset azimuth characteristic value;
the determining module is used for determining a mapping relation between the azimuth characteristic value and a target characteristic value according to the switching probability and the overlapping coverage probability, wherein the target characteristic value is used for representing the relation between the overlapping coverage probability and the switching probability of the target cell and each peripheral cell; the mapping relation between the azimuth angle characteristic value and the target characteristic value is as follows:
wherein H represents a target characteristic value, alpha represents an azimuth characteristic value, M n Indicating the number of handovers between the nth peripheral cell and the target cell, P (M n ) Representing the probability of handover between the nth peripheral cell and the target cell, S n Represents the overlapping coverage area between the nth peripheral cell and the target cell, P (S n ) Representing overlapping coverage probability, W, of an overlapping coverage area between an nth peripheral cell and the target cell occupying the coverage area of the target cell n Representing the weight coefficient;
the determining module is further configured to determine, according to a mapping relationship between the azimuth characteristic value and a target characteristic value, an azimuth characteristic value that minimizes the target characteristic value as an azimuth of the target cell.
6. The apparatus of claim 5, wherein the parameter information includes a total number of handovers per cell and a number of handovers between cells;
the computing module is specifically configured to: and determining the ratio of the switching times between each peripheral cell and the target cell to the total switching times of the target cell as the switching probability between the target cell and each peripheral cell.
7. The apparatus of claim 5, wherein the parameter information comprises a cell angle, a cell coverage area radius;
the acquisition module is specifically configured to: determining an included angle of each cell according to the number of sectors and the circumferential angle of the base station to which each cell belongs; and determining the coverage area radius of each cell according to the station height, the downward inclination angle and the vertical beam width of each cell.
8. A computer device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing computer-executable instructions stored in the memory causes the at least one processor to perform the method of determining a base station cell azimuth as claimed in any one of claims 1 to 4.
9. A computer readable storage medium, wherein computer executable instructions are stored in the computer readable storage medium, which when executed by a processor, implement the method for determining the azimuth angle of a base station cell according to any one of claims 1 to 4.
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