CN114339779A - 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 a cell azimuth angle of a base station, wherein the method comprises the following steps: acquiring work parameter information of a target cell and a peripheral cell; determining the switching probability of the target cell and each peripheral cell according to the work parameter information; determining the overlapping coverage probability of the overlapping coverage area of each peripheral cell and the target cell occupying the area of the coverage area of the target cell according to the work parameter information and the preset azimuth angle 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 and the switching probability of a target cell and each peripheral cell; and determining the azimuth angle characteristic value which enables the target characteristic value to be minimum as the azimuth angle of the target cell according to the determined mapping relation. The embodiment of the invention solves the problems of time consumption and labor consumption of the traditional standing check; the problem of checking the azimuth angle of the cell in a wrong and leaked manner can be solved, the checking cost is lower, and the efficiency and the accuracy are higher.
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 cell azimuth angle of a base station.
Background
The cell working parameter is the basis of network optimization, and the cell azimuth angle is an important component of the cell working parameter. With the increasing huge network scale, the traditional method for checking the cell azimuth angle by the station is more time-consuming and labor-consuming. When the conventional station checking mode is difficult to meet the requirement of daily network optimization, a more efficient mode for checking the cell azimuth is urgently needed by network optimization personnel.
At present, there are two main methods for acquiring the azimuth angle of a cell, the first method is the traditional station check; the second is to select 3 to 5 sites with the most switching times through the cell switching relationship, and then roughly judge the range of the azimuth angle through a triangular formula by combining the longitude and latitude of the target cell and the cell with the most switching times.
However, the existing method has the following defects: the network scale is increasingly huge, and the time and the labor are consumed for checking the cell azimuth angle by the station; the problem of azimuth miss-leakage 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, and aims to solve the problems that in the prior art, the time and the labor are consumed for checking the cell azimuth by an upper station, the problem that the azimuth of a certain cell is missed and inaccurate to check is difficult to find.
A first aspect of the embodiments of the present invention provides a method for determining an azimuth of a base station cell, including:
acquiring work parameter information of a target cell and a peripheral cell;
determining the switching probability between the target cell and each peripheral cell according to the work parameter information;
determining the overlapping coverage probability of the overlapping coverage area between each peripheral cell and the target cell in the area of the coverage area of the target cell according to the work parameter information and a preset azimuth angle characteristic value;
determining a mapping relation between the azimuth angle 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 angle characteristic value which enables the target characteristic value to be minimum as the azimuth angle of the target cell according to the mapping relation between the azimuth angle characteristic value and the target characteristic value.
Optionally, the working parameter information includes a total number of handovers of each cell and a number of handovers between cells;
the determining the switching probability between the target cell and each peripheral cell according to the working parameter information includes:
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 working parameter information includes a cell included angle and a radius of a cell coverage area;
the acquiring of the working parameter information of the target cell and the peripheral cell includes:
determining the included angle of each cell according to the sector number and the circumferential angle of the base station to which each cell belongs;
and determining the radius of the coverage area of each cell according to the station height, the downward inclination angle and the beam width in the vertical direction of each cell.
Optionally, the working parameter information further includes a longitude and latitude of the cell;
determining the overlapping coverage probability of the overlapping coverage area between each peripheral cell and the target cell occupying the area of the coverage area of the target cell according to the working parameter information and the preset azimuth angle characteristic value, wherein the determining comprises:
calculating to obtain the area of the coverage area of the target cell according to the cell included angle and the radius of the coverage area 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 angle 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 as follows:
wherein H represents a target characteristic value, alpha represents an azimuth characteristic value, MnRepresents 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, SnRepresents an overlapping coverage area, P (S), between the nth peripheral cell and the target celln) Represents an overlapping coverage probability, W, of an overlapping coverage area between the nth peripheral cell and the target cell occupying the area of the coverage area of the target cellnRepresenting the weight coefficients.
A second aspect of the embodiments of the present invention provides a device for determining an azimuth of a cell of a base station, including:
the acquisition module is used for acquiring the work 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 work parameter information;
the calculation module is further configured to determine, according to the working parameter information and a preset azimuth characteristic value, an overlapping coverage probability that an overlapping coverage area between each peripheral cell and the target cell occupies an area of the target cell coverage area;
a determining module, configured to determine a mapping relationship between the azimuth characteristic value and a target characteristic value according to the handover probability and the overlapping coverage probability, where the target characteristic value is used to represent a relationship between the overlapping coverage probability and the handover probability of a 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 working parameter information includes a total number of handovers of each cell and a number of handovers between cells;
the calculation 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 working parameter information includes a cell included angle and a radius of a cell coverage area;
the acquisition module is specifically configured to: determining the included angle of each cell according to the sector number and the circumferential angle of the base station to which each cell belongs; and determining the radius of the coverage area of each cell according to the station height, the downward inclination angle and the beam width in the vertical direction of each cell.
A third aspect of an embodiment of the present invention provides a computer apparatus, including: 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 cell of the base station provided by the first aspect of the embodiment of the present invention.
A fourth aspect of the present invention provides a computer-readable storage medium, where a computer executing instruction is stored in the computer-readable storage medium, and when a processor executes the computer executing instruction, the method for determining an azimuth angle of a cell of a base station provided in the first aspect of the present invention is implemented.
The embodiment of the invention provides a method and a device for determining a base station cell azimuth angle, wherein the method comprises the steps of obtaining working parameter information of a target cell and peripheral cells; then determining pairwise switching relations between the target cell and each peripheral cell according to the work 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 the azimuth angle characteristic value which enables the target characteristic value to be minimum as the azimuth angle of the target cell. The problem of traditional check consuming time, power consumption on standing is solved. By the method, the problem of error and leakage of the azimuth angle of the cell can be checked, the checking cost is lower, and the efficiency and the accuracy are higher.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art 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 for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart illustrating a method for determining an azimuth of a cell of a base station according to an exemplary embodiment of the present invention;
fig. 2 is a flowchart illustrating a method for determining an azimuth of a cell of a base station according to another exemplary embodiment of the present invention;
FIG. 3 is a diagram illustrating a cell overlap coverage model according to an exemplary embodiment of the present invention;
fig. 4 is a schematic diagram illustrating a maximum coverage radius of a cell according to an exemplary embodiment of the present invention;
fig. 5 is a diagram illustrating a cell coverage area model according to an exemplary embodiment of the present invention;
FIG. 6 is a diagram illustrating a cell coverage main lobe model according to an exemplary embodiment of the present invention;
fig. 7 is a graph of a distribution of continuous points of the boundary of a sector of cell coverage according to an exemplary embodiment of the present invention;
fig. 8 is a schematic diagram illustrating cell overlapping coverage areas in accordance with an exemplary embodiment of the present invention;
fig. 9 is a schematic structural diagram of an apparatus for determining an azimuth angle of a cell of a base station according to an exemplary embodiment of the present invention;
fig. 10 is a schematic structural diagram of a computer device according to an exemplary embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation 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 angle is an important component of the cell parameter. With the increasing huge network scale, the traditional method for checking the cell azimuth angle by the station is more time-consuming and labor-consuming. When the conventional station checking mode is difficult to meet the requirement of daily network optimization, a more efficient mode for checking the cell azimuth is urgently needed by network optimization personnel. At present, there are two main methods for acquiring the azimuth angle of a cell, the first method is the traditional station check; the second is to select 3 to 5 sites with the most switching times through the cell switching relationship, and then roughly judge the range of the azimuth angle through a triangular formula by combining the longitude and latitude of the target cell and the cell with the most switching times. However, the existing method has the following defects: the network scale is increasingly huge, and the time and the labor are consumed for checking the cell azimuth angle by the station; the problem of azimuth miss-leakage of a certain cell is difficult to find, and the checking is inaccurate.
Aiming at the defect, the technical idea of the technical scheme of the invention is as follows: since there is a pairwise handover relationship between the cells, it indicates that there is an overlapping coverage area between the two cells, and if the overlapping coverage area is larger, the pairwise handover probability between the cells is higher, 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 301 and the second cell 303, and then the handover probability between the first cell and the second cell in the target cell area is higher than the handover probability between the target cell and the second cell. Based on this, according to the cell coverage model, the cell overlap coverage area is related to the cell longitude and latitude, the station height, the downtilt angle and the vertical lobe (beam) width in three-dimensional space, as shown in fig. 4, h in fig. 4 represents the cell station height, the downtilt angle is represented by ρ, the vertical beam width is represented by σ, r is represented by σminIndicating a cellMinimum coverage radius, r denotes the cell maximum coverage radius. 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 a two-dimensional space vector with a direction angle alpha and a modulus 1, as shown in fig. 5, alpha is an azimuth angle, and r is the maximum coverage radius x and y which respectively represent the longitude and the latitude of the cell. Generally, the more the number of handover times of a target cell and a certain cell are, the larger the overlapping coverage area of the target cell and the certain cell is, the closer the azimuth angle α of the target cell is to the certain cell, as shown in fig. 6, the main coverage lobe of the target cell is a space vector with coordinates (x, y) as a starting point, a direction as α, and a modulus as 1, and five cells with the largest number of handover times of the target cell are selected, and the number of handover times of the target cell and the five cells are 2314 times, 2119 times, 1802 times, 150 times, and 120 times in sequence, so the azimuth angle of the target cell is closer to the direction of the certain cell with the number of handover times of 2314 times. Therefore, according to the switching probability and the overlapping coverage area between the target cell and the peripheral cells, a cell azimuth angle calculation model is established, the calculation model is used for representing the mapping relation from the cell azimuth angle to the 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 of the target cell, and 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 closer the azimuth angle of the target cell is to the direction of the cell; therefore, through the mapping relationship between the cell azimuth and the target characteristic value, the value of the azimuth that makes the target characteristic value the minimum can be found, and then the value of the azimuth is the azimuth of the target cell.
Fig. 1 is a flowchart illustrating a method for determining an azimuth of a cell of a base station according to an exemplary embodiment of the present invention.
As shown in fig. 1, the method provided by the present embodiment may include the following steps.
S101, acquiring work parameter information of a target cell and a peripheral cell.
The working parameter information comprises cell switching times, cell included angles, cell coverage area radiuses, cell longitude and latitude and the like.
Specifically, the cell switching frequency may obtain a cell pair switching list through Positioning Reference Signals (PRS), and count the total switching frequency of the target cell and the neighboring cell pair according to the switching list. The longitude and latitude of the community can be acquired through a positioning device.
In a possible embodiment, the cell included angle and the cell coverage radius may be obtained by measuring related parameters by a related measurement instrument and calculating according to the related parameters. The method comprises the following steps of determining the 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 radius of the coverage area of each cell according to the station height, the downward inclination angle and the beam width in the vertical direction of each cell.
Specifically, the number of sectors in the same station of the target cell is obtained according to the cell work parameter table, and the circumferential angle is fixed to be 360 degrees, so that the ratio of 360 to the number of sectors in the same station is the cell included angle of the target cell; let the cell included angle be θ, then:
the station height h, the downward inclination angle rho and the beam width sigma in the vertical direction of the cell are obtained through measurement of a relevant measuring instrument, and referring to fig. 4, the radius formula of the coverage area of the cell can be obtained as
And according to the radius calculation formula, selecting the maximum coverage distance as the cell coverage radius, namely taking the maximum value of r.
S102, determining the switching probability between the target cell and each peripheral cell according to the work parameter information.
Specifically, the 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 the probability of handovers between the target cell and each peripheral cell.
Specifically, assuming total switching times M of a target cell, after acquiring a pairwise switching list of the cells through a PRS, counting pairwise switching times of the target cell and each peripheral cell according to the pairwise switching list, performing descending order arrangement on the pairwise switching times, selecting n peripheral cells with the largest pairwise switching times, and recording the switching times as M1，M2…, Mn is
According to the probability formula, the number of pairwise handover with the target cell is MnThe probability of handover between the cell and the target cell is
S103, determining the overlapping coverage probability of the overlapping coverage area between each peripheral cell and the target cell in the area of the coverage area of the target cell according to the work parameter information and the preset azimuth angle characteristic value.
In a possible embodiment, as shown in fig. 2, the method for calculating the overlapping coverage probability of the overlapping coverage area between each peripheral cell and the target cell occupying the coverage area of the target cell may include the following steps.
S201, calculating to obtain the area of the coverage area of the target cell according to the cell included angle and the radius of the coverage area of the target cell.
Specifically, the target cell coverage area 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 theta is the sector included angle.
S202, calculating and obtaining 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 angle characteristic value of the target cell and each peripheral cell.
In particular, according toCalculating the overlapping coverage area of each peripheral cell and the target cell, arranging the overlapping areas in descending order, taking the n peripheral cells with the largest overlapping areas, and recording the overlapping areas as S1，S2，…，Sn。
In one possible embodiment, if the longitude and latitude (x, y), the azimuth angle α, the included angle θ, and the radius r are known, i.e. the sector area S of the cell coverage area on the two-dimensional plane is determined. The position relation of the two sectors is also determined, namely the overlapping area S of the two sectors can be calculated through the longitude and latitude, the azimuth angle, the included angle and the radius of the two cellsn. The specific calculation process is as follows:
for the sake of simplicity, a polygon may be formed by taking 1 as a step and taking 14 consecutive points on the sector edge, instead of 14 points in the sector area, which are respectively denoted as K1, 2, 3 …, and 14. As shown in fig. 7, 14 points are selected and selected on the boundary of the sector area covered by the target cell, and the abscissa and ordinate X of 14 consecutive points can be determined by combining the cell coverage diagram in the two-bit space shown in fig. 5kAnd YkThe calculation of (c) is as follows:
wherein X and y are respectively the longitude and latitude of the cell, and the horizontal and vertical coordinates XkAnd YkRespectively, the longitude and latitude of the k-th point.
Through the calculation, the polygon formed by 14 continuous points is [ (X, y), (X)1，Y1)，…(X14，Y14)]Calculating the overlapping area between two polygons converted from the sector areas of the coverage areas of the two cells by using a Polygon geometry library, wherein the calculating steps are as follows:
(1) obtaining the longitude and latitude of 14 continuous point sets of the Polygon to generate a Polygon with P1、P2。
(2) Overlap area Sn＝P1.intersection(P2).area。
As can be seen from the above description, the overlapping coverage area SnRelated to the longitude and latitude set of the geometric figure, the longitude and latitude set of the cell is determined by longitude and latitude (x, y), an azimuth angle alpha, an included angle theta and a radius r of the cell according to a longitude and latitude calculation formula. If the included angle of longitude and latitude (x, y) of the cell is theta, the radius r is known, and the overlapping area S isnDetermined by the azimuth angle alpha. Then there are:
Sn＝f(α)
for example, as shown in fig. 8, when the azimuth of the target cell is α 1, the overlapping coverage area with the peripheral cell is s1When the azimuth angle of the target cell is alpha, the overlapping coverage area of the target cell and the target cell is s1+s2. Therefore, the overlapping coverage area S of the nth cell and the target cellnDetermined by the azimuth of the target cell.
S203, determining a ratio of an overlapping coverage area between each peripheral cell and the target cell to an area of the target cell coverage area as an 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 n peripheral cells having the largest overlapping areas with the coverage area of the target cell are S1，S2，…，Sn. Then the probability that the nth cell falls in the overlapping coverage area is known from the probability formula
S104, determining a mapping relation between the azimuth angle 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.
Specifically, the more times of handover between a target cell and a certain cell, the larger the overlapping coverage area between the target cell and the certain cell, and the larger the number of times of handover between the target cell and the certain cellProbability of handover P (M) for the celln) Probability P (S) of falling into overlapping coverage arean) Positively correlated, if P (M)n)＞P(Mn-1) Then there is P (S)n)＞P(Sn-1) For a certain cell c, in an ideal case, h ═ P (M)c)-P(Sc) 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 represented by α, and the value range of α is [0, 360 ], the coverage area S of the target cell can be simplified to a sector area with the azimuth angle α, the included angle θ and the radius r. Then alpha is in the range 0, 360) and there is a value such that H takes a minimum value.
Further, the azimuth α of the target cell C should point to the high handover number cell as much as possible. If P (M) is presentn)＞P(Mn-1)，P(Sn)＞P(Sn-1) Then, it should satisfy:
|P(Mn)-P(Sn)|＜|P(Mn-1)-P(Sn-1)|
that is, the cells with a large number of handovers have a larger overlapping area with the target cell, and the weight factor W is largernThe larger the size. Thus, for the formula
Can be modified into:
wherein H represents a target characteristic value, alpha represents an azimuth characteristic value, MnRepresents 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, SnRepresents an overlapping coverage area, P (S), between the nth peripheral cell and the target celln) Representing an overlapping coverage area between the nth peripheral cell and the target cellOverlapping coverage probability of a region occupying the area of the target cell coverage area, WnRepresenting the weight coefficients.
Specifically, the formula may represent a mapping relationship between the azimuth and the target characteristic value, and for constructing the formula H, the larger the overlapping coverage area of a certain cell and a target cell is, the more times the cell and the target cell are switched are, i.e., P (M)n) And P (S)n) Should be as close as possible, the cells with more switching times should have higher weight W than the cells with less switching timesn，WnTaking the probability of desirable cell handover, i.e. P (M)n). The smaller the H value, the smaller P (M)n) And P (S)n) Closer together, the closer the overlapping coverage and handover relationship between the target cell and the cell is indicated.
Wherein, P (M)n) By step S102, P (S)n) The size of the overlay area is determined by the overlay coverage area S, as analyzed by step S103nOf the overlapping coverage area SnDepending on the azimuth α, the problem can be transformed into finding a value within the range of the azimuth α by the formula, so that the H value is minimized.
And S105, determining the azimuth angle characteristic value which enables the target characteristic value to be minimum as the azimuth angle of the target cell according to the mapping relation between the azimuth angle characteristic value and the target characteristic value.
Specifically, for the azimuth angle α, there are numerous values within the range of the value range [0, 360 ], and in the actual network optimization work, the value of the azimuth angle α is a finite set of {0, 1, 2, …, 359 }. That is, finally, the method is converted into solving the existence of the value α in the finite set {0, 1, 2, …, 359}, so that the value of the formula H is the minimum, and the value of α is the azimuth angle of the target cell.
In the embodiment, the working parameter information of the target cell and the peripheral cell is obtained; then determining pairwise switching relations between the target cell and each peripheral cell according to the work 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 the azimuth angle characteristic value which enables the target characteristic value to be minimum as the azimuth angle of the target cell. The problem of traditional check consuming time, power consumption on standing is solved. By the method, the problem of error and leakage of the azimuth angle of the cell can be checked, the checking cost is lower, and the efficiency and the accuracy are higher.
For better understanding of the present application, the method for determining the azimuth angle of the cell of the base station provided in the present application is described below by using specific examples.
Firstly, supposing that the name OF a target cell to be determined is-394843-1-1-OF in Guangzhou-H-Jingxi village, then obtaining a pairwise handover list OF the cells according to PRS, counting the 5 cells with the highest handover frequency OF the target cell, and respectively calculating the handover probability OF the 5 cells and the target cell, wherein the respective handover frequency and handover probability OF the 5 cell names and the target cell are shown in Table 1.
TABLE 1
| Name of cell | Number of times | Probability of handover |
| Guangzhou-H-Tonghe stream relocation-395094-2-1-OF | 15885 | 0.763812 |
| Guangzhou-H-Beijing xi village-394842-1-1-SF | 2018 | 0.097033 |
| Guangzhou-H-Jingxi Zhong-394843-3-1-OF | 1181 | 0.056787 |
| F Tonghe Jingxi relocation 2-2 | 1029 | 0.049478 |
| Guangzhou-H-Jingxi Zhong-394843-2-1-OF | 684 | 0.032889 |
Secondly, the cell station height, the downtilt angle and the beam width in the vertical direction are obtained through a cell parameter table, 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
| Name of cell | Maximum radius of coverage (m) |
| Guangzhou-H-Tonghe stream relocation-395094-2-1-OF | 291 |
| Guangzhou-H-Beijing xi village-394842-1-1-SF | 554 |
| Guangzhou-H-Jingxi Zhong-394843-3-1-OF | 257 |
| F Tonghe Jingxi relocation 2-2 | 291 |
| Guangzhou-H-Jingxi Zhong-394843-2-1-OF | 447 |
Thirdly, acquiring the number of sectors in the same station of the target cell through the cell work parameter table, and calculating to obtain the cell included angle of the target cell, wherein if the number of the sectors in the same station is 3 sectors, the cell included angle is 120 degrees.
Fourthly, setting an initial value of an azimuth angle of the target cell to be 1, calculating the overlapping coverage area of the target cell and the peripheral cells according to the longitude and latitude, the coverage radius, the cell included angle, the azimuth angle and the like of the cells, and selecting 5 cells with the largest overlapping coverage area.
And fifthly, calculating the probability of falling into the overlapping coverage area according to the overlapping coverage area and the target cell coverage area.
Sixthly, determining a 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 left and right values in the value set of the alpha are all calculated, so as to obtain the H value corresponding to each alpha value, and the calculation result is shown in table 3.
TABLE 3
| Azimuth 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 value among the H values is determined as the azimuth of the target cell.
Through the steps, the direction angle corresponding value when the H value is minimum is selected to be 31, the actual work and reference table OF the cell 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 requirement is met.
It should be noted that, for the specific calculation method of each parameter related in this embodiment, reference may be made to the detailed description in the foregoing related method embodiment, which is not described herein again.
Fig. 9 is a schematic structural diagram of an apparatus for determining an azimuth of a cell of a base station 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 and a determination module 903; the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring the work parameter information of a target cell and a peripheral cell; the calculation module is used for determining the switching probability between the target cell and each peripheral cell according to the work parameter information; the calculation module is further configured to determine, according to the working parameter information and a preset azimuth characteristic value, an overlapping coverage probability that an overlapping coverage area between each peripheral cell and the target cell occupies an area of the target cell coverage area; a determining module, configured to determine a mapping relationship between the azimuth characteristic value and a target characteristic value according to the handover probability and the overlapping coverage probability, where the target characteristic value is used to represent a relationship between the overlapping coverage probability and the handover probability of a 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 working parameter information includes the total switching times of each cell and the switching times between cells; the calculation 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 work parameter information includes a cell included angle and a cell coverage area radius; the acquisition module is specifically configured to: determining the included angle of each cell according to the sector number and the circumferential angle of the base station to which each cell belongs; and determining the radius of the coverage area of each cell according to the station height, the downward inclination angle and the beam width in the vertical direction of each cell.
Further, the work parameter information also comprises the longitude and latitude of the cell; the calculation module is specifically configured to: calculating to obtain the area of the coverage area of the target cell according to the cell included angle and the radius of the coverage area 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 angle 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 as follows:
wherein H represents a target characteristic value, alpha represents an azimuth characteristic value, MnRepresents 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, SnRepresents an overlapping coverage area, P (S), between the nth peripheral cell and the target celln) Represents an overlapping coverage probability, W, of an overlapping coverage area between the nth peripheral cell and the target cell occupying the area of the coverage area of the target cellnRepresenting the weight coefficients.
It should be noted that, for specific implementation of each module of the apparatus provided in this embodiment, reference may be made to the description in the foregoing related method embodiment, and details are not described here again.
Fig. 10 is a schematic hardware structure diagram of a computer device according to an embodiment of the present invention. As shown in fig. 10, the present embodiment provides a computer apparatus 100 including: at least one processor 1001 and memory 1002. The processor 1001 and the memory 1002 are connected to each other via a bus 1003.
In a specific implementation process, the at least one processor 1001 executes computer-executable instructions stored in the memory 1002, so that the at least one processor 1001 executes the method for determining the azimuth angle of the base station cell in the foregoing method embodiment.
For a specific implementation process of the processor 1001, reference may be made to the above method embodiments, which have similar implementation principles and technical effects, and details of this embodiment are not described herein again.
In the embodiment shown in fig. 10, it should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. 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, or in a combination of the hardware and software modules within the processor.
The memory may comprise high speed RAM memory and may also include non-volatile storage NVM, such as at least one disk memory.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures 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 a computer executes instructions, and when a processor executes the computer to execute the instructions, a method for determining an azimuth angle of a cell of a base station in the above-described method embodiments is implemented.
The computer-readable storage medium 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 or optical disk. Readable storage media can be any available media 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. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the readable storage medium may also reside as discrete components in the apparatus.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for determining an azimuth angle of a cell of a base station, comprising:
acquiring work parameter information of a target cell and a peripheral cell;
determining the switching probability between the target cell and each peripheral cell according to the work parameter information;
determining the overlapping coverage probability of the overlapping coverage area between each peripheral cell and the target cell in the area of the coverage area of the target cell according to the work parameter information and a preset azimuth angle characteristic value;
determining a mapping relation between the azimuth angle 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 angle characteristic value which enables the target characteristic value to be minimum as the azimuth angle of the target cell according to the mapping relation between the azimuth angle characteristic value and the target characteristic value.
2. The method of claim 1, wherein the working parameter information comprises 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 working parameter information includes:
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 working parameter information comprises a cell angle, a cell coverage area radius;
the acquiring of the working parameter information of the target cell and the peripheral cell includes:
determining the included angle of each cell according to the sector number and the circumferential angle of the base station to which each cell belongs;
and determining the radius of the coverage area of each cell according to the station height, the downward inclination angle and the beam width in the vertical direction of each cell.
4. The method of claim 3, wherein the work parameter information further comprises a cell latitude and longitude;
determining the overlapping coverage probability of the overlapping coverage area between each peripheral cell and the target cell occupying the area of the coverage area of the target cell according to the working parameter information and the preset azimuth angle characteristic value, wherein the determining comprises:
calculating to obtain the area of the coverage area of the target cell according to the cell included angle and the radius of the coverage area 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 angle 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. The method according to any one of claims 1 to 4, wherein the mapping relationship between the azimuth eigenvalue and the target eigenvalue is:
wherein H represents a target characteristic value, alpha represents an azimuth characteristic value, MnRepresents 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, SnRepresents an overlapping coverage area, P (S), between the nth peripheral cell and the target celln) Represents an overlapping coverage probability, W, of an overlapping coverage area between the nth peripheral cell and the target cell occupying the area of the coverage area of the target cellnRepresenting the weight coefficients.
6. An apparatus for determining an azimuth angle of a cell of a base station, comprising:
the acquisition module is used for acquiring the work 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 work parameter information;
the calculation module is further configured to determine, according to the working parameter information and a preset azimuth characteristic value, an overlapping coverage probability that an overlapping coverage area between each peripheral cell and the target cell occupies an area of the target cell coverage area;
a determining module, configured to determine a mapping relationship between the azimuth characteristic value and a target characteristic value according to the handover probability and the overlapping coverage probability, where the target characteristic value is used to represent a relationship between the overlapping coverage probability and the handover probability of a 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.
7. The apparatus of claim 6, wherein the working parameter information comprises a total number of handovers per cell and a number of handovers between cells;
the calculation 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.
8. The apparatus of claim 6, wherein the working parameter information comprises a cell angle, a cell coverage area radius;
the acquisition module is specifically configured to: determining the included angle of each cell according to the sector number and the circumferential angle of the base station to which each cell belongs; and determining the radius of the coverage area of each cell according to the station height, the downward inclination angle and the beam width in the vertical direction of each cell.
9. 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 by 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 5.
10. A computer-readable storage medium having stored thereon computer-executable instructions, which when executed by a processor, implement the method for determining an azimuth angle of a cell of a base station according to any one of claims 1 to 5.
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