CN106714189B - Method and device for analyzing cell over coverage - Google Patents
Method and device for analyzing cell over coverage Download PDFInfo
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- CN106714189B CN106714189B CN201510780048.3A CN201510780048A CN106714189B CN 106714189 B CN106714189 B CN 106714189B CN 201510780048 A CN201510780048 A CN 201510780048A CN 106714189 B CN106714189 B CN 106714189B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/18—Network planning tools
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
Abstract
The invention provides a method and a device for analyzing cell over coverage, and relates to the technical field of wireless communication. The method comprises the following steps: acquiring drive test data measured at all sampling points when a drive test terminal takes a cell to be tested as a service cell; determining the distance between each sampling point and the base station corresponding to the cell to be tested according to the drive test data at each sampling point, counting the number of cells within the range taking the sampling point as the circle center and taking the distance as the radius, and taking the number of the cells as the over-coverage index of the sampling point; and judging whether the cell to be detected has over coverage according to the over coverage indexes of all the sampling points. The scheme of the invention analyzes the station distribution condition of the peripheral area of the cell through the analysis of the drive test data, and judges the rationality of cell coverage, thereby determining whether the cell has over coverage, and the invention is simple, easy, efficient and visual, and improves the accuracy.
Description
Technical Field
The present invention relates to the field of wireless communication technologies, and in particular, to a method and an apparatus for analyzing cell coverage.
Background
With the gradual expansion of wireless networks, the problem performance problem of wireless devices gradually emerges, and especially with the increasing density of urban base station construction in recent two years, the antenna performance problem also starts to draw more and more attention of operators. Especially, the antenna gain is seriously reduced due to gradual aging of antenna equipment and substandard oscillator or feed line process of the collecting antenna, and the network coverage depth and customer perception are greatly influenced.
Aiming at the problem, the following methods are generally adopted for checking and optimizing at present:
firstly, the method adopts a drive test mode to reversely calculate the antenna transmitting gain of the cell, and concretely realizes the following steps,
assuming the reference values:
1. the output power of the top of the frame is X, and BSPWRB/BSPWRT in the cell configuration parameters is a fixed maximum value of the cell; the antenna feeder loss takes the following reference values: 900M: 7/8' feed line is about 5dB/100 m; 5/4' feed line is about 3dB/100M 1800M: 7/8' feed line is about 6dB/100 m; 5/4' feed line is about 4dB/100 m;
2. the signal strength of the arriving terminal is Y, and Y is an average signal strength filtering value calculated by software; adding a weight correction value Y1 for functions such as network starting power control and the like;
3. the signal loss under ideal wireless environment is Z, and various wireless environment propagation models are defined as Z1, Z2, Z3 and the like.
And judging whether the antenna gain is normal or not by Y-X-antenna feeder loss + antenna gain G-Z and back-pushing G-Y-X + antenna feeder loss + Z.
Because the space propagation of the signal is greatly influenced by the environment of a propagation wireless link, the wireless environment is very complex in the building dense area of an urban area, the G error calculated by the formula is large, and the accuracy is low because the G error is influenced by uplink and downlink power control.
Secondly, MR (Measurement Report) data is analyzed. By obtaining a measurement report for a target cell; analyzing a TIME ADVANCE value reporting parameter TIME _ ADVANCE from the measurement report; respectively counting the number of the TIME _ ADVANCEs corresponding to different measurement report statistical parameters based on the corresponding relation between the preset TIME _ ADVANCE and the measurement report statistical parameters; determining the number of TIME _ ADVANCE corresponding to the specified TIME ADVANCE value interval based on the corresponding relation between the preset measurement report statistical parameter and the TIME ADVANCE value interval and the counted number; determining the ratio of the number of TIME _ ADVANCEs corresponding to the specified TIME ADVANCE value interval to the total number of TIME _ ADVANCEs analyzed from the measurement report; and determining whether the target cell has over-coverage according to the ratio.
The method is intuitive and simple, but is limited by MR data and has low accuracy.
Through the analysis, the existing antenna test analysis method aiming at the network problem has certain limitation and low accuracy of the measurement result.
Disclosure of Invention
The invention aims to provide a method and a device for analyzing cell over coverage, which analyze the station distribution condition of the peripheral area of a cell through the analysis of drive test data and judge the rationality of cell coverage so as to determine whether the cell has over coverage, are simple, easy, efficient and intuitive and improve the accuracy.
To achieve the above object, an embodiment of the present invention provides a method for analyzing cell over coverage, including:
acquiring drive test data measured at all sampling points when a drive test terminal takes a cell to be tested as a service cell;
determining the distance between each sampling point and the base station corresponding to the cell to be tested according to the drive test data at each sampling point, counting the number of cells within the range taking the sampling point as the circle center and taking the distance as the radius, and taking the number of the cells as the over-coverage index of the sampling point;
and judging whether the cell to be detected has over coverage according to the over coverage indexes of all the sampling points.
The step of judging whether the cell to be tested has the over coverage according to the over coverage indexes of all the sampling points comprises the following steps:
calculating the average value of the over-coverage indexes of all sampling points to obtain the over-coverage index of the cell to be measured;
and judging whether the cell to be detected has over coverage according to the over coverage index of the cell to be detected.
The step of judging whether the cell to be detected has over coverage according to the over coverage index of the cell to be detected comprises the following steps:
and comparing the over-coverage index of the cell to be tested with a first threshold, and determining that the cell to be tested has over-coverage when the over-coverage index of the cell to be tested is greater than or equal to the first threshold.
The step of judging whether the cell to be detected has over coverage according to the over coverage index of the cell to be detected comprises the following steps:
acquiring signal to interference plus noise ratio (SINR) values of all sampling points corresponding to the cell to be detected;
and comparing the over-coverage index of the cell to be tested with a first threshold, comparing the SINR with a second threshold, and determining that the cell to be tested has over-coverage when the over-coverage index of the cell to be tested is greater than or equal to the first threshold and the SINR value is greater than or equal to the second threshold.
And all the sampling points are distributed in the coverage range of the main lobe of the antenna of the cell to be measured.
And all the sampling points are distributed in a plurality of side lobe coverage ranges of the antenna of the cell to be measured.
And the cell to be tested is a Long Term Evolution (LTE) cell.
In order to achieve the above object, an embodiment of the present invention further provides an apparatus for analyzing cell over coverage, including:
the acquisition module is used for acquiring drive test data obtained by measuring the drive test terminal at all sampling points when a cell to be tested is taken as a service cell;
the processing module is used for determining the distance between each sampling point and the base station corresponding to the cell to be tested according to the drive test data at each sampling point, counting the number of the cells within the range taking the sampling point as the circle center and taking the distance as the radius, and taking the number of the cells as the over-coverage index of the sampling point;
and the judging module is used for judging whether the cell to be detected has over coverage according to the over coverage indexes of all the sampling points.
Wherein, the judging module comprises:
the calculating submodule is used for calculating the average value of the over-coverage indexes of all the sampling points to obtain the over-coverage index of the cell to be measured;
and the judging submodule is used for judging whether the cell to be detected has over coverage according to the over coverage index of the cell to be detected.
Wherein the judgment sub-module includes:
the first judging unit is used for comparing the over-coverage index of the cell to be detected with a first threshold value, and when the over-coverage index of the cell to be detected is greater than or equal to the first threshold value, determining that the cell to be detected has over-coverage.
Wherein the judgment sub-module includes:
the acquisition unit is used for acquiring signal to interference plus noise ratio (SINR) values of the cell to be detected corresponding to all the sampling points;
and the second judging unit is used for comparing the over-coverage index of the cell to be detected with a first threshold, comparing the SINR with a second threshold, and determining that the cell to be detected has over-coverage when the over-coverage index of the cell to be detected is greater than or equal to the first threshold and the SINR value is greater than or equal to the second threshold.
And all the sampling points are distributed in the coverage range of the main lobe of the antenna of the cell to be measured.
And all the sampling points are distributed in a plurality of side lobe coverage ranges of the antenna of the cell to be measured.
And the cell to be tested is an LTE cell.
The technical scheme of the invention has the following beneficial effects:
according to the method for analyzing the cell over coverage, the number of the cells in the range taking the sampling point as the circle center and the distance between the sampling point and the base station corresponding to the cell to be detected as the radius is counted according to the drive test data, the number of the cells is used as an over coverage index to judge whether the cell to be detected has the over coverage, the station distribution condition of the peripheral area of the cell to be detected is analyzed, the rationality of the cell to be detected is judged, and therefore whether the over coverage exists is determined. The method provided by the embodiment of the invention is simple and easy to implement, has higher efficiency, can more accurately and visually know whether the cell to be detected has over coverage, and does not have the limitation problem of the existing method.
Drawings
Fig. 1 is a flowchart illustrating steps of a method for analyzing cell over coverage according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an acquisition of an over-coverage index of a sample point;
fig. 3 is a flowchart illustrating the detailed steps of a method for analyzing cell coverage according to an embodiment of the present invention;
fig. 4 is a flowchart illustrating steps of a method for analyzing cell over coverage applied to a main lobe over coverage analysis according to an embodiment of the present invention;
fig. 5 is a flowchart illustrating a step of applying the method for analyzing cell coverage to analysis of side lobe coverage according to an embodiment of the present invention;
fig. 6 is a first schematic structural diagram of an apparatus for analyzing cell over coverage according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a cell over-coverage analysis apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
The invention provides a cell over-coverage analysis method aiming at the problem of low accuracy of the measurement result of the existing over-coverage analysis method.
As shown in fig. 1, a method for analyzing cell over coverage according to an embodiment of the present invention includes:
step 101, acquiring drive test data obtained by measuring at all sampling points when a drive test terminal takes a cell to be tested as a serving cell.
The drive test terminal is an electronic device for realizing drive test according to the setting operation of workers. Since the measurement quantity expected to be obtained is set in advance, the measurement quantity data of the drive test terminal can be used for corresponding processing. In this embodiment, whether a cell has an over coverage is analyzed and determined by using drive test data of the drive test terminal, where the drive test data at least includes data such as a serving cell, a peripheral non-serving cell, and a distance from the cell at an application point of the drive test terminal. Therefore, the drive test data measured at all sampling points when the drive test terminal uses the cell to be tested as the serving cell is obtained first.
Step 102, determining the distance between each sampling point and the base station corresponding to the cell to be tested according to the drive test data at each sampling point, counting the number of cells within the range taking the sampling point as the circle center and the distance as the radius, and taking the number of cells as the over-coverage index of the sampling point.
And 103, judging whether the cell to be detected has over coverage according to the over coverage indexes of all the sampling points.
Through the steps, the cell over-coverage analysis method provided by the embodiment of the invention judges whether the cell to be detected has over-coverage or not by counting the number of the cells within the range taking the sampling point as the circle center and the distance between the sampling point and the base station corresponding to the cell to be detected as the radius according to the drive test data and taking the number of the cells as an over-coverage index, thereby realizing the analysis of the site distribution condition of the peripheral area of the cell to be detected, judging the rationality of the cell to be detected in coverage and further determining whether the cell to be detected has over-coverage or not. The method provided by the embodiment of the invention is simple and easy to implement, has higher efficiency, can more accurately and visually know whether the cell to be detected has over coverage, and does not have the limitation problem of the existing method.
Taking fig. 2 as an example, a drive test terminal at a sampling point shown in the figure uses a cell to be tested as a serving cell, first, drive test data at the sampling point is acquired, it is known from the drive test data that a non-serving cell 1, a non-serving cell 2, and a non-serving cell 3 exist near the sampling point, and the distance from the sampling point to a base station corresponding to the cell to be tested is d1, the distance to the base station corresponding to the non-serving cell 1 is d2, the distance to the base station corresponding to the non-serving cell 2 is d3, and the distance to the base station corresponding to the non-serving cell 3 is d 4. The range with the sampling point as the center and d1 as the radius is shown by the dotted line in the figure, it can be determined that the cell to be measured is included, the range has 3 cells in total, and the over coverage index of the sampling point is 3. Of course, in the method of the embodiment of the present invention, the drive test terminal may perform sampling at multiple locations, and there is more than one drive test terminal, and the same manner as above is used to complete the over-coverage indexes of all sampling points when the cell to be measured is used as the serving cell, so as to determine whether the cell to be measured has over-coverage.
In the above, the number of the cells in the range in which the sampling point is the center of a circle and the distance between the sampling point and the base station corresponding to the cell to be measured is the radius is counted, and the determined number of the cells is used as the over-coverage index of the sampling point.
However, on the premise that the resource consumption is not considered and the performance of the drive test terminal needs to be better, the number of cells within a range taking the sampling point as the center of a circle and taking a preset distance (which is greater than the distance between the sampling point and the base station corresponding to the cell to be tested) as a radius can be set, and certainly, the number of cells can not be used as the over-coverage index of the sampling point any more, but the base stations corresponding to all the cells within the range are sorted according to the distance between the base stations and the sampling point, and the sorting value of the cell to be tested is used as the over-coverage index of the sampling point. If there are n base stations in a range of a sampling point, the distance between each base station and the sampling point is Lm (m is 0, 1, 2, … … n), where the distance between the cell to be measured is Ls. Sequencing according to the distance from small to large, wherein the sequencing value of the base station with the minimum distance is 1; and if the sequencing value of the base station with the smaller distance is 2 … …, obtaining the sequencing value Q of the base station corresponding to the cell to be tested, wherein the over-coverage index of the sampling point is Q.
In addition, in the range taking the sampling point as the center of a circle and the distance between the sampling point and the base station corresponding to the cell to be measured as the radius, the base stations corresponding to all the cells in the range are sorted according to the distance between the base stations and the sampling point, and the method that the sorted value of the cell to be measured is used as the over-coverage index of the sampling point is also feasible. However, the range takes the distance between the sampling point and the base station corresponding to the cell to be tested as the radius, the sequencing value of the cell to be tested is always the largest, namely the number of the cells in the range, the sequencing steps are reduced, and the analysis efficiency is improved.
The number of the sampling points must reach the preset number, and the recombination of the sampling point samples of the cell to be measured can be guaranteed.
After obtaining the over-coverage indexes of all the sampling points, specifically, as shown in fig. 3, step 103 includes:
The drive test terminal can sample at multiple positions, and the number of the drive test terminals is more than one, so that for the obtained over-coverage indexes of the multiple sampling points, in order to reflect the overall performance of the cell to be tested, the average value of the over-coverage indexes of all the sampling points is calculated and used as the over-coverage index of the cell to be tested.
It should be noted that, although it is a preferable way that the step 301 and the step 302 integrally reflect the over coverage index of the cell to be measured by the average value of the over coverage indexes of the respective sampling points, in addition, the over coverage index of the cell to be measured may be obtained according to a predetermined weight according to the distance between each sampling point and the cell to be measured, and of course, there are other implementation methods, which are not listed here.
More specifically, step 302 includes:
step 3021a, comparing the over coverage index of the cell to be measured with a first threshold, and determining that the cell to be measured has over coverage when the over coverage index of the cell to be measured is greater than or equal to the first threshold.
The first threshold is a threshold determined by a worker according to experiments or practical judgment, and if the over-coverage index is 6, the over-coverage exists, and then the over-coverage index is determined as 6. And comparing the obtained over-coverage index of the cell to be tested with the obtained over-coverage index of the cell to be tested, and determining that the cell to be tested has over-coverage when the over-coverage index of the cell to be tested is greater than or equal to 6.
Or step 302, comprising:
step 3021b, acquiring SINR values of signals to interference plus noise ratios (SINR) of the to-be-detected cell corresponding to all the sampling points;
step 3022b, comparing the over coverage index of the cell to be measured with a first threshold, comparing the SINR with a second threshold, and determining that the cell to be measured has over coverage when the over coverage index of the cell to be measured is greater than or equal to the first threshold and the SINR value is greater than or equal to the second threshold.
In step 3021b and step 3022b, when determining the over coverage of the cell to be measured, the over coverage index is not limited, but the SINR value in communication is further considered, and the two are subjected to correlation analysis to determine whether the over coverage exists.
However, it should be understood that the over-coverage analysis of the antenna is a whole judgment, but when the antenna is not over-covered, the main lobe or the side lobe of the antenna may be over-covered. For this reason, whether the main lobe of the antenna has over coverage or not may be analyzed by using the method described above, but all the sampling points are distributed in the coverage range of the main lobe of the antenna of the cell to be measured.
The range of the main lobe coverage direction deviation angle generally adopts [ 60 degrees and 60 degrees ], the application of the method in the main lobe coverage analysis is shown in fig. 4, and S401 is used for obtaining the drive test data measured at all sampling points of the drive test terminal when the cell to be tested is used as the service cell in the range of the [ 60 degrees and 60 degrees ] coverage direction deviation angle. S402, judging whether the number of the sampling points meets the preset number or not, if the number of the sampling points does not meet the preset number, considering that the faults are other faults, and not continuing the over-coverage analysis. If the number of sampling points satisfies the preset number, S403 is executed. And S403, determining the distance between each sampling point and the base station corresponding to the cell to be tested according to the drive test data at each sampling point, counting the number of the cells within the range taking the sampling point as the circle center and the distance as the radius, and taking the number of the cells as the over-coverage index of the sampling point. S404, calculating the average value of the over-coverage indexes of all sampling points to obtain the over-coverage index of the cell to be measured. S405, comparing the over-coverage index of the cell to be tested with a first threshold, and determining that the cell to be tested has over-coverage when the over-coverage index of the cell to be tested is greater than or equal to the first threshold. The over-coverage index and the SINR may also be analyzed in a correlated manner, for example, in S406, signal to interference plus noise ratio SINR values of the cell to be detected corresponding to all the sampling points are obtained, the over-coverage index of the cell to be detected is compared with a first threshold, the SINR is compared with a second threshold, and when the over-coverage index of the cell to be detected is greater than or equal to the first threshold and the SINR value is greater than or equal to the second threshold, it is determined that the cell to be detected has over-coverage.
For whether the side lobe of the antenna to be analyzed has over coverage, similarly, the above method can be used for analysis similarly to the main lobe, however, all the sampling points are distributed in the side lobe coverage of the antenna of the cell to be measured.
The side lobe coverage direction deviation angle range generally adopts plus or minus (60 degrees and 150 degrees), the application of the method in side lobe over-coverage analysis is shown in fig. 5, and S501 obtains the drive test data measured at all sampling points of the drive test terminal when the cell to be tested is taken as a service cell in the plus or minus (60 degrees and 150 degrees) coverage direction deviation angle range. And S502, judging whether the number of the sampling points meets the preset number or not, if the number of the sampling points does not meet the preset number, considering that the faults are other faults, and not continuing the over-coverage analysis. If the number of sampling points satisfies the preset number, S503 is executed. S503, determining the distance between each sampling point and the base station corresponding to the cell to be tested according to the drive test data at each sampling point, counting the number of the cells within the range taking the sampling point as the circle center and the distance as the radius, and taking the number of the cells as the over-coverage index of the sampling point. And S504, calculating the average value of the over-coverage indexes of all sampling points to obtain the over-coverage index of the cell to be measured. And S505, comparing the over-coverage index of the cell to be tested with a first threshold, and determining that the cell to be tested has over-coverage when the over-coverage index of the cell to be tested is greater than or equal to the first threshold. The over-coverage index and the SINR may also be analyzed in a correlated manner, for example, in S506, signal to interference plus noise ratio SINR values of the cell to be detected corresponding to all the sampling points are obtained, the over-coverage index of the cell to be detected is compared with a first threshold, the SINR is compared with a second threshold, and when the over-coverage index of the cell to be detected is greater than or equal to the first threshold and the SINR value is greater than or equal to the second threshold, it is determined that the cell to be detected has over-coverage.
In addition, it should be noted that the method for analyzing cell coverage in the embodiment of the present invention is an LTE cell coverage analysis method, and the cell to be measured is an LTE cell.
In summary, the method for analyzing cell coverage in the embodiment of the present invention can analyze the base station distribution in the peripheral area of the cell through sampling analysis of the drive test data, and determine the rationality of the cell coverage, thereby determining whether the cell has coverage, and is simple and easy to implement, and has higher efficiency, and more accurately and intuitively know whether the cell to be measured has coverage, and the problem of limitation existing in the existing method does not exist. And because the drive test data has the position information of each sampling point, the main lobe and the side lobe of the antenna can be subjected to over-coverage analysis accurately to an angle level.
As shown in fig. 6, the embodiment of the present invention further provides a block diagram of an apparatus for analyzing cell over coverage. The apparatus 600 for analyzing cell over coverage shown in fig. 6 comprises:
an obtaining module 601, configured to obtain drive test data obtained by a drive test terminal through measurement at all sampling points when a cell to be measured serves as a serving cell;
a processing module 602, configured to determine, according to the drive test data at each sampling point, a distance between each sampling point and the base station corresponding to the cell to be tested, count the number of cells in a range in which the distance is a radius and the sampling point is used as a circle center, and use the number of cells as an over-coverage index of the sampling point;
and the judging module 603 is configured to judge whether the cell to be measured has over coverage according to the over coverage indexes of all the sampling points.
Specifically, as shown in fig. 7, the determining module 603 includes:
a calculating submodule 6031, configured to calculate an average value of the coverage indexes of all the sampling points, so as to obtain the coverage index of the cell to be measured;
and a determining submodule 6032, configured to determine whether the cell to be detected has over coverage according to the over coverage index of the cell to be detected.
Wherein the judgment sub-module 6032 includes:
a first determining unit 60321, configured to compare the over-coverage index of the cell to be measured with a first threshold, and determine that the cell to be measured has over-coverage when the over-coverage index of the cell to be measured is greater than or equal to the first threshold.
Wherein the judgment sub-module 6032 includes:
an obtaining unit 60322, configured to obtain SINR values of signal to interference plus noise ratios, where the SINR values correspond to the cell to be measured, of all the sampling points;
a second determining unit 60323, configured to compare the over coverage index of the cell to be measured with a first threshold, compare the SINR with a second threshold, and determine that the cell to be measured has over coverage when the over coverage index of the cell to be measured is greater than or equal to the first threshold and the SINR value is greater than or equal to the second threshold.
And all the sampling points are distributed in the coverage range of the main lobe of the antenna of the cell to be measured.
And all the sampling points are distributed in a plurality of side lobe coverage ranges of the antenna of the cell to be measured.
And the cell to be tested is an LTE cell.
The cell over-coverage analysis device provided by the embodiment of the invention can analyze the base station distribution condition of the peripheral area of the cell through the sampling analysis of the drive test data, and judge the rationality of the cell coverage, thereby determining the over-coverage of the cell, and the device is simple and easy to implement, has higher efficiency, can more accurately and intuitively know whether the cell to be detected has the over-coverage, and does not have the limitation problem of the existing method. And because the drive test data has the position information of each sampling point, the main lobe and the side lobe of the antenna can be subjected to over-coverage analysis accurately to an angle level.
It should be noted that the apparatus is an apparatus to which the above-mentioned cell coverage analysis method is applied, and an implementation manner of the cell coverage analysis method is applicable to the apparatus, and the same technical effect can be achieved, and for avoiding repetition, details are not described here.
It is further noted that many of the functional units described in this specification have been labeled as modules, in order to more particularly emphasize their implementation independence.
In embodiments of the present invention, modules may be implemented in software for execution by various types of processors. An identified module of executable code may, for instance, comprise one or more physical or logical blocks of computer instructions which may, for instance, be constructed as an object, procedure, or function. Nevertheless, the executables of an identified module need not be physically located together, but may comprise disparate instructions stored in different bits which, when joined logically together, comprise the module and achieve the stated purpose for the module.
Indeed, a module of executable code may be a single instruction, or many instructions, and may even be distributed over several different code segments, among different programs, and across several memory devices. Likewise, operational data may be identified within the modules and may be embodied in any suitable form and organized within any suitable type of data structure. The operational data may be collected as a single data set, or may be distributed over different locations including over different storage devices, and may exist, at least partially, merely as electronic signals on a system or network.
When a module can be implemented by software, considering the level of existing hardware technology, a module implemented by software may build a corresponding hardware circuit to implement a corresponding function, without considering cost, and the hardware circuit may include a conventional Very Large Scale Integration (VLSI) circuit or a gate array and an existing semiconductor such as a logic chip, a transistor, or other discrete components. A module may also be implemented in programmable hardware devices such as field programmable gate arrays, programmable array logic, programmable logic devices or the like.
Exemplary embodiments are described below with reference to the drawings. Many different forms and embodiments of the invention may be made without departing from the spirit and teachings of the invention, and therefore, the disclosure should not be construed as limited to the exemplary embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. In the drawings, the size and relative sizes of elements may be exaggerated for clarity. The terminology used herein is for the purpose of describing particular example embodiments only and is not intended to be limiting. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Unless otherwise indicated, a range of values, when stated, includes the upper and lower limits of the range and any subranges therebetween.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (12)
1. A method for analyzing cell over coverage, comprising:
acquiring drive test data measured at all sampling points when a drive test terminal takes a cell to be tested as a service cell;
determining the distance between each sampling point and the base station corresponding to the cell to be tested according to the drive test data at each sampling point, counting the number of cells within the range taking the sampling point as the circle center and taking the distance as the radius, and taking the number of the cells as the over-coverage index of the sampling point;
judging whether the cell to be tested has over coverage according to the over coverage indexes of all the sampling points;
the step of judging whether the cell to be tested has over coverage according to the over coverage indexes of all the sampling points comprises the following steps:
calculating the average value of the over-coverage indexes of all sampling points to obtain the over-coverage index of the cell to be measured;
and judging whether the cell to be detected has over coverage according to the over coverage index of the cell to be detected.
2. The method for analyzing cell over coverage according to claim 1, wherein the step of determining whether the cell to be measured has over coverage according to the over coverage index of the cell to be measured includes:
and comparing the over-coverage index of the cell to be tested with a first threshold, and determining that the cell to be tested has over-coverage when the over-coverage index of the cell to be tested is greater than or equal to the first threshold.
3. The method for analyzing cell over coverage according to claim 1, wherein the step of determining whether the cell to be measured has over coverage according to the over coverage index of the cell to be measured includes:
acquiring signal to interference plus noise ratio (SINR) values of all sampling points corresponding to the cell to be detected;
and comparing the over-coverage index of the cell to be tested with a first threshold, comparing the SINR with a second threshold, and determining that the cell to be tested has over-coverage when the over-coverage index of the cell to be tested is greater than or equal to the first threshold and the SINR value is greater than or equal to the second threshold.
4. The method according to claim 1, wherein all the sampling points are distributed in a main lobe coverage area of an antenna of the cell to be measured.
5. The method of claim 1, wherein all the sampling points are distributed over a plurality of side lobe coverage areas of an antenna of the cell to be measured.
6. The method for analyzing cell over coverage according to claim 1, wherein the cell to be tested is a Long Term Evolution (LTE) cell.
7. An apparatus for analyzing cell over coverage, comprising:
the acquisition module is used for acquiring drive test data obtained by measuring the drive test terminal at all sampling points when a cell to be tested is taken as a service cell;
the processing module is used for determining the distance between each sampling point and the base station corresponding to the cell to be tested according to the drive test data at each sampling point, counting the number of the cells within the range taking the sampling point as the circle center and taking the distance as the radius, and taking the number of the cells as the over-coverage index of the sampling point;
the judging module is used for judging whether the cell to be detected has over coverage according to the over coverage indexes of all the sampling points;
the judging module comprises:
the calculating submodule is used for calculating the average value of the over-coverage indexes of all the sampling points to obtain the over-coverage index of the cell to be measured;
and the judging submodule is used for judging whether the cell to be detected has over coverage according to the over coverage index of the cell to be detected.
8. The apparatus for analyzing cell over-coverage according to claim 7, wherein the determining sub-module comprises:
the first judging unit is used for comparing the over-coverage index of the cell to be detected with a first threshold value, and when the over-coverage index of the cell to be detected is greater than or equal to the first threshold value, determining that the cell to be detected has over-coverage.
9. The apparatus for analyzing cell over-coverage according to claim 7, wherein the determining sub-module comprises:
the acquisition unit is used for acquiring signal to interference plus noise ratio (SINR) values of the cell to be detected corresponding to all the sampling points;
and the second judging unit is used for comparing the over-coverage index of the cell to be detected with a first threshold, comparing the SINR with a second threshold, and determining that the cell to be detected has over-coverage when the over-coverage index of the cell to be detected is greater than or equal to the first threshold and the SINR value is greater than or equal to the second threshold.
10. The apparatus for analyzing cell over coverage according to claim 7, wherein all the sampling points are distributed in a main lobe coverage of an antenna of the cell under test.
11. The apparatus of claim 7, wherein all the sampling points are distributed over a plurality of side lobe coverage areas of an antenna of the cell under test.
12. The apparatus for analyzing cell over coverage according to claim 7, wherein the cell to be tested is an LTE cell.
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| CN112351454A (en) * | 2020-10-20 | 2021-02-09 | 中国能源建设集团江苏省电力设计院有限公司 | TD-LTE electric wireless private network double-coverage detection method and system |
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