CN107438264B - Cell performance analysis method and device - Google Patents
Cell performance analysis method and device Download PDFInfo
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- CN107438264B CN107438264B CN201610357155.XA CN201610357155A CN107438264B CN 107438264 B CN107438264 B CN 107438264B CN 201610357155 A CN201610357155 A CN 201610357155A CN 107438264 B CN107438264 B CN 107438264B
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Abstract
The embodiment of the invention discloses a cell performance analysis method, which comprises the following steps: generating a cell relation matrix according to the collected drive test frequency sweep data; and determining the bidirectional overlapping coverage relation among the cells according to the cell relation matrix, and analyzing the performance of the cells according to the bidirectional overlapping coverage relation. The embodiment of the invention discloses a cell performance analysis device.
Description
Technical Field
The present invention relates to a cell management technology in wireless communication, and in particular, to a cell performance analysis method and apparatus.
Background
With the rapid development of wireless networks, Long Term Evolution (LTE) wireless networks are gradually expanded, and the problem of network coverage quality among cells in LTE wireless networks gradually emerges, so that the performance of coverage, handover, interference and the like of the cells needs to be analyzed to solve the problem of network coverage quality.
The existing cell performance analysis methods include the following two methods:
one is analysis by Measurement Report (MR) data: analyzing Reference Signal received Power of cells with defined neighbor relation and undefined neighbor relation of LTE in MR data, and calculating cell overlapping coverage index according to received Signal code Power of Reference Signal Receiving Power (RSRP) of main carrier of cells with defined neighbor relation and undefined neighbor relation of LTE; when the cell overlapping coverage index is more than 5%, high overlapping coverage cells are defined, and then the high overlapping coverage cells are subjected to key analysis and troubleshooting so as to further optimize the high overlapping coverage cells.
Secondly, a method for analyzing The relationship between coverage, switching and interference based on The statistical data of The Office of Statistical Services (OSS) is provided: in an LTE wireless network, coverage crossing and modulo-3 interference often cause dropped call and handover failure of a terminal, and even cause severe drop of a terminal transmission rate and increase of data transmission delay, and after Key Performance Indicators (KPIs) and the like of handover failure are analyzed in detail by using OSS statistical data, coverage crossing, edge coverage and the like between a certain Cell and peripheral cells can be often found, thereby providing a data analysis basis for analyzing, avoiding Physical Cell Identity (PCI) Collision and PCI Confusion (PCI fusion), and reducing modulo-3 interference.
The MR analysis method and the OSS statistical analysis method described above have the following disadvantages:
1. the MR data loss rate is serious, the sampling is difficult and the sampling labor cost is high, and most of MR data lose two important acquisition information of a direction angle and a time difference, so that each sampling point cannot be accurately positioned, and further, the depth analysis of an overlapped area cannot be performed.
2. The analysis of the coverage relation and the switching relation among cells based on OSS statistical data is often a post analysis, and the problem can be found and solved only after the KPI is extremely deteriorated or a user complains, so that the bottom-layer detail information of the KPI deterioration is difficult to trace back, the coverage, the module 3 interference and the stereo relation graph among the switching can not be obtained, and the KPI analysis and optimization effects are seriously influenced.
Therefore, the existing cell performance analysis method is not high in accuracy and has certain limitations.
Disclosure of Invention
In order to solve the foregoing technical problems, embodiments of the present invention are intended to provide a cell performance analysis method and apparatus, which can accurately determine an overlapping coverage area between cells, provide accurate and effective information for analyzing cell performance, and expand an application range of the cell performance analysis method.
The technical scheme of the invention is realized as follows:
a method of cell performance analysis, the method comprising:
generating a cell relation matrix according to the collected drive test frequency sweep data;
and determining the bidirectional overlapping coverage relation among the cells according to the cell relation matrix, and analyzing the performance of the cells according to the bidirectional overlapping coverage relation.
In the foregoing solution, the generating a cell relation matrix according to the collected drive test sweep frequency data includes:
acquiring a performance index of a neighboring cell of a first cell to obtain a first performance index, wherein the first cell is as follows: sequencing the scanned cells according to the drive test sweep frequency data from large to small or from small to large in signal intensity sequence to obtain a target cell, wherein the target cell is a cell arranged at the top when sequencing is performed from large to small in the sequencing process; or when the sorting process is from small to large, the cells are ranked at the last position;
acquiring a performance index of adjacent cells of a second cell to obtain a second performance index, wherein the second cell is a cell of which any adjacent cell in the adjacent cells of the first cell is taken as a target cell;
and combining the first performance index and the second performance index to generate a cell relation matrix.
In the foregoing solution, the determining a bidirectional overlapping coverage relationship between cells according to the cell relationship matrix includes:
determining the relative overlapping coverage of the cells according to the cell relation matrix;
when the relative overlapping coverage is greater than a first preset threshold, the cell is an overlapping coverage cell;
classifying the overlapped coverage cells to obtain classification information, wherein the classification information is as follows: overlapping coverage active interference cells, overlapping coverage passive interference cells, overlapping coverage mutual interference cells.
In the above scheme, the relative overlapping coverage is:
the ratio of the sum of the cell number corresponding to a first sampling point of the target cell and a second sampling point of the neighboring cell, the signal intensity of which is different by a second preset threshold value, to the first sampling point number in the target cell; and the number of the first sampling points is the number of the sampling points of which the signal intensity of the target cell exceeds a fifth preset threshold value.
In the foregoing solution, the classifying the overlapping coverage cells includes:
classifying the overlapped coverage cells according to the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the first cell and the adjacent cell is smaller than a second preset threshold value, the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the second cell and the adjacent cell is smaller than the second preset threshold value, and the average value of the signal intensity of the sampling points of which the signal intensity between the second cell and the first cell is smaller than the second preset threshold value; the first cell and the second cell are respectively cells serving as target cells in the cell relation matrix;
if the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the first cell and the adjacent cell is smaller than the second preset threshold is larger than the third preset threshold, the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the second cell and the adjacent cell is smaller than the second preset threshold is smaller than the fourth preset threshold, and the average value of the signal intensities of the sampling points of which the signal intensities of the second cell and the first cell are smaller than the second preset threshold is larger than the fourth preset threshold, the first cell is an overlapped active interference cell;
if the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the first cell and the adjacent cell is smaller than the second preset threshold is smaller than the third preset threshold, the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the second cell and the adjacent cell is smaller than the second preset threshold is larger than the fourth preset threshold, and the average value of the signal intensities of the sampling points of which the signal intensities of the second cell and the first cell are smaller than the second preset threshold is smaller than the fourth preset threshold, the first cell is an overlapped passive interference cell;
and if the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the first cell and the adjacent cell is smaller than the second preset threshold is smaller than the third preset threshold, the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the second cell and the adjacent cell is smaller than the second preset threshold is smaller than the fourth preset threshold, and the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the second cell and the adjacent cell is smaller than the second preset threshold is smaller than the fourth preset threshold, the first cell and the second cell are overlapped to cover the mutual interference cell.
An apparatus for cell performance analysis, the apparatus comprising:
the generation module is used for generating a cell relation matrix according to the collected drive test frequency sweep data;
and the processing module is used for determining the bidirectional overlapping coverage relation among the cells according to the cell relation matrix and analyzing the performance of the cells according to the bidirectional overlapping coverage relation.
In the foregoing solution, the generating module is specifically configured to:
acquiring a performance index of a neighboring cell of a first cell to obtain a first performance index, wherein the first cell is as follows: sequencing the scanned cells according to the drive test sweep frequency data from large to small or from small to large in signal intensity sequence to obtain a target cell, wherein the target cell is a cell arranged at the top when sequencing is performed from large to small in the sequencing process; or when the sorting process is from small to large, the cells are ranked at the last position;
acquiring a performance index of adjacent cells of a second cell to obtain a second performance index, wherein the second cell is a cell of which any adjacent cell in the adjacent cells of the first cell is taken as a target cell;
and combining the first performance index and the second performance index to generate a cell relation matrix.
In the foregoing solution, the processing module is specifically configured to:
determining the relative overlapping coverage of the cells according to the cell relation matrix;
when the relative overlapping coverage is greater than a first preset threshold, the cell is an overlapping coverage cell;
classifying the overlapped coverage cells to obtain classification information, wherein the classification information is as follows: overlapping coverage active interference cells, overlapping coverage passive interference cells, overlapping coverage mutual interference cells.
In the above scheme, the relative overlapping coverage is:
the ratio of the sum of the number of the cells corresponding to the first sampling point of the target cell and the second sampling point of the adjacent cell with the signal intensity difference of a second preset threshold value to the number of the first sampling points in the target cell is obtained, wherein the number of the first sampling points is the number of the sampling points of which the signal intensity of the target cell exceeds a fifth preset threshold value.
In the foregoing solution, the processing module is further configured to:
classifying the overlapping coverage cells according to the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the first cell and the adjacent cell is smaller than a second preset threshold value, the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the second cell and the adjacent cell is smaller than the second preset threshold value, and the average value of the signal intensity of the sampling points of which the signal intensity between the second cell and the first cell is smaller than the second preset threshold value, wherein the first cell and the second cell are respectively cells serving as target cells in the cell relation matrix;
if the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the first cell and the adjacent cell is smaller than the second preset threshold is larger than the third preset threshold, the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the second cell and the adjacent cell is smaller than the second preset threshold is smaller than the fourth preset threshold, and the average value of the signal intensities of the sampling points of which the signal intensities of the second cell and the first cell are smaller than the second preset threshold is larger than the fourth preset threshold, the first cell is an overlapped active interference cell;
if the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the first cell and the adjacent cell is smaller than the second preset threshold is smaller than the third preset threshold, the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the second cell and the adjacent cell is smaller than the second preset threshold is larger than the fourth preset threshold, and the average value of the signal intensities of the sampling points of which the signal intensities of the second cell and the first cell are smaller than the second preset threshold is smaller than the fourth preset threshold, the first cell is an overlapped passive interference cell;
and if the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the first cell and the adjacent cell is smaller than the second preset threshold is smaller than the third preset threshold, the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the second cell and the adjacent cell is smaller than the second preset threshold is smaller than the fourth preset threshold, and the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the second cell and the adjacent cell is smaller than the second preset threshold is smaller than the fourth preset threshold, the first cell and the second cell are overlapped to cover the mutual interference cell.
According to the cell performance analysis method and device provided by the embodiment of the invention, the cell relation matrix is generated according to the collected drive test sweep frequency data, and the bidirectional overlapping coverage relation among the cells is obtained according to the cell relation matrix, so that the performances such as cell overlapping coverage and the like are analyzed, and the problem that the coverage relation among the cells and the like cannot be accurately analyzed and presented is solved; the cell relation matrix can also be used for analyzing the performances of cell switching, interference and the like. The method can accurately judge the overlapping coverage area between the cells by generating the cell relation matrix, provides accurate and effective information for analyzing the cell performance, and enlarges the application range of the cell performance analysis method.
Drawings
Fig. 1 is a flowchart of a cell performance analysis method according to an embodiment of the present invention;
FIG. 2 is an analysis diagram of cell bidirectional overlapping coverage;
fig. 3 is a schematic flowchart of determining a cell bidirectional overlapping coverage relationship according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a cell performance analysis apparatus according to an embodiment of the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
The embodiment of the invention is a cell performance analysis system suitable for various networks, in particular suitable for an LTE wireless network. The embodiment of the invention provides a cell performance analysis method, which aims to solve the problem that the coverage relationship, the switching relationship, the interference relationship and the like between cells cannot be accurately analyzed and presented.
Fig. 1 is a flowchart of a cell performance analysis method according to an embodiment of the present invention, as shown in fig. 1, the method includes:
step 101: and generating a cell relation matrix according to the collected drive test frequency sweep data.
In the step, collecting drive test sweep frequency data, carrying out sampling analysis on the drive test sweep frequency data, and constructing a cell relation matrix according to the drive test sweep frequency data; the cell relation matrix is a relation matrix table with records reflecting relation values of the target cell and the adjacent cell. Specifically, according to key measurement information received in a certain time period, calculating according to a calculation rule to obtain a PCI conflict number accumulated value, a PCI confusion number accumulated value, an RSRP difference value accumulated value, an accumulated value of the occurrence frequency of the target cell and the adjacent interval, a PCI module 3/module 6 interference number accumulated value and the like of the target cell and the adjacent interval, combining the calculated result with network configuration information of the current LTE system, and generating a relation matrix table capable of reflecting relation values between any two cells in the LTE system.
It should be noted that the target cell in the embodiment of the present invention is a cell with the highest signal strength. The LTE signal strength statistics include: the Received Signal Strength Indication (RSSI), the Reference Signal Received Quality (RSRQ), the Reference Signal Received Power (RSRP), the signal-to-noise ratio (SNR), etc., where the RSRP is used to count the signal strength, and the RSRP may be further extended to other statistical values in the future, which is not limited herein. The target cells may be selected by sorting from strong to weak according to the cell strength scanned by the frequency sweep, and using the cell ranked at the forefront as the target cell, or selecting the response according to other sorting manners, which is not limited herein.
Step 102: and determining the bidirectional overlapping coverage relation among the cells according to the cell relation matrix, and analyzing the performance of the cells according to the bidirectional overlapping coverage relation.
In this step, the bidirectional overlapping coverage relationship between cells is determined according to the generated cell relationship matrix. The bidirectional overlapping coverage relation is an overlapping coverage relation between any one target cell as a target cell and an adjacent cell for the cells in the cell relation matrix. And further analyzing the performances of the cell such as overlapping coverage and the like according to the bidirectional overlapping coverage relation. For example, when cell a and cell B are target cells, the signal strength, overlap, or other performance indicators of cell B and cell a are analyzed.
Fig. 2 is a schematic diagram illustrating analysis of bidirectional overlapping coverage of a cell, and as shown in fig. 2, when a target cell a is taken as a center, various performance indexes of overlapping coverage points of neighboring cells cellB and cellC … are analyzed, so as to analyze the overlapping coverage influence of the target cell on the neighboring cells; when one of the neighbor cell Bs is a target cell, analyzing various performance indexes of overlapping coverage points of the neighbor cell CellA and the neighbor cell C …, thereby analyzing the overlapping coverage influence of the target cell CellB on the cell A; in the analysis process, when cellA is defined as the center, the influence analysis on cellB is positive overlapping coverage analysis; when cellB is defined as the center, the analysis of the influence on cellA is reverse overlay coverage analysis.
According to the embodiment of the invention, the mutual influence relationship between any two cells can be found through the cell relationship matrix and the defined relationship, and the cells of the whole network are expressed through the relationship matrix of pairwise relationship, so that an overlapped coverage area is accurately judged, and the coverage problem of specific cells is solved, and accurate and effective analysis information is provided for the optimization personnel of the current network.
It should be noted that, step 102 takes the analysis of the overlapping coverage relationship of the cells as an example to describe a specific process of analyzing the cell performance according to the cell relationship matrix; in the cell relation matrix generated in step 101, the performance of cell switching, interference and the like may also be analyzed according to the parameters of the cell relation matrix, such as the accumulated value of the switching failure times, the modulo 3 interference times, the modulo 6 interference times and the like, and the analysis of the performance of cell switching, interference and the like is not limited and described in detail here.
According to the cell performance analysis method, a cell relation matrix table reflecting relation values of a target cell and an adjacent cell is generated according to collected drive test sweep frequency data, so that a bidirectional overlapping relation between the target cell and the adjacent cell can be determined according to the cell relation matrix table, and the overlapping coverage performance of the cell is analyzed according to the bidirectional overlapping relation; the cell relation matrix generated by the method can also be used for analyzing the performances of cell switching, interference and the like. The method provides accurate and effective information for cell performance analysis, problem positioning and the like by generating the cell relation matrix, and enlarges the application range of the cell performance analysis method.
Further, the generating a cell relation matrix according to the collected drive test sweep frequency data includes:
acquiring a performance index of a neighboring cell of a first cell to obtain a first performance index, wherein the first cell is as follows: sequencing the scanned cells according to the drive test sweep frequency data from large to small or from small to large in signal intensity sequence to obtain an obtained target cell, wherein the target cell is a cell arranged at the first position when the sequencing process is from large to small, or is arranged at the last position when the sequencing process is from small to large;
acquiring a performance index of adjacent cells of a second cell to obtain a second performance index, wherein the second cell is a cell of which any adjacent cell in the adjacent cells of the first cell is taken as a target cell;
and combining the first performance index and the second performance index to generate a cell relation matrix.
Specifically, the generating the cell relation matrix includes the following specific steps:
sequencing the scanned cells according to the signal intensity according to the drive test sweep frequency data, taking the cell with the highest signal intensity as a target cell, and acquiring and analyzing the performance indexes of the target cell and the neighbor cells thereof, wherein the performance indexes comprise: the method comprises the following steps of TAC, BCI, frequency points, PCI, total number of sampling points, average RSRP, average SINR, total number of sampling points in a relative coverage zone, average RSRP in the relative coverage zone, average SINR in the relative coverage zone, PCI collision times in the relative coverage zone, whether same-frequency interference exists in the relative coverage zone or not and other measurement data, and can further comprise other measurement data which are specifically set according to system performance and user requirements.
The obtaining of the performance index mainly includes calculating key measurement information in a certain time period:
1. calculating the accumulated value of the PCI collision times between any target cell and any adjacent cell, and recording the accumulated value as PCIn;
2. calculating the accumulated value of the times of the modulo-3 interference between any target cell and any adjacent cell, and recording as M3;
3. calculating the accumulated value of the times of the 6-mode interference between any target cell and any adjacent cell, and recording as M6;
4. calculating SINRs of all sampling points of any target cell and adjacent cells with signal intensity within 6db, and recording as SINRdiff 6;
5. calculating the switching failure times of any target cell and the adjacent cell with the signal intensity within 6db, and recording as N;
6. calculating the communication distance between any target cell and an adjacent cell with the signal intensity within 6db, and recording the communication distance as D;
7. calculating RSRPdiff6_ s: the RSRP difference value of the adjacent cell compared with the target cell is less than the sampling times within 6 db;
8. calculating RSRPdiff6 — n: when the adjacent cell is used as the target cell, the original target cell becomes the adjacent cell at the moment, and the RSRP difference value between the original target cell and the adjacent cell (the adjacent cell becomes the target cell) is less than the sampling times within 6 db;
9. calculating RSRPavg _ s: the neighbor cell is used as a non-target cell, and the average value of all sampling points which are larger than-100 db and appear in the neighbor cell list is obtained;
10. calculating RSRPavg _ n: when the adjacent cell is used as a target cell, the original target cell becomes the adjacent cell at the moment, and the original target cell appears in the average value of all sampling points which are more than-100 in an adjacent cell (the adjacent cell becomes the target cell) list;
11. calculating SINRavg _ s: the neighbor cell is used as a non-target cell, and the average SINR values of all sampling points which are larger than-100 db and appear in the neighbor cell list are obtained;
12. calculating SINRavg _ n: when the adjacent cell is used as a target cell, the original target cell becomes the adjacent cell at the moment, and the original target cell appears in the SINR average value of all sampling points which are more than-100 in an adjacent cell (the adjacent cell becomes the target cell) list;
…
in the above key measurement information, the method for obtaining the accumulated value of the number of PCI collisions includes: when a terminal accesses an LTE system in a certain target cell and reports sweep frequency data, counting all the sweep frequency data of the target cell one by one, if the PCI of an adjacent cell is the same as the PCI of the target cell, judging that the PCI conflicts, and accumulating 1 PCIn at the matrix position of the target cell corresponding to the adjacent cell.
In the key measurement information, the method for acquiring the accumulated value of the modulo-3 interference times comprises the following steps: when a terminal accesses an LTE system in a certain target cell and reports sweep frequency data, counting all the sweep frequency data of the target cell one by one, if finding that the PCI module 3 value of an adjacent cell is the same as the PCI module 3 value of the target cell, judging that module 3 interference exists, and accumulating M3 by 1 at the matrix position of the target cell corresponding to the adjacent cell.
And then, taking any adjacent cell as a target cell, and acquiring the performance index of the current target cell, wherein the performance index also comprises the content.
The performance matrix of the target cell and the performance matrix of the adjacent cell which is taken as the target cell can be generated through the analysis and calculation, and the performance matrices are merged to generate a pairwise relation matrix of the target cell and the adjacent cell. Taking cell XXX and cell YYY as an example, the generated cell relation matrix is shown in table 1 below:
TABLE 1
Fig. 3 is a schematic flowchart of a process for determining a cell bidirectional overlapping coverage relationship according to an embodiment of the present invention, as shown in fig. 3, on the basis of the first embodiment, the method includes:
step 201: and determining the relative overlapping coverage of the cells according to the cell relation matrix.
In this step, the relative overlay coverage is: the ratio of the sum of the number of the cells corresponding to the first sampling point of the target cell and the second sampling point of the adjacent cell with the signal intensity difference of a second preset threshold value to the number of the first sampling points in the target cell is obtained, and the number of the first sampling points is the number of the sampling points of which the signal intensity of the target cell exceeds a fifth preset threshold value.
For example: when a is the target cell, the signal strength of the target cell exceeds a predetermined threshold, which is a value set according to system performance or user requirements, for example, if the number of first sampling points satisfying the above condition is 10000, the number of sampling points different from the second predetermined threshold (6db) in other cells of the 10000 sampling points is respectively sampling point 1, sampling point 2, …, the number of cells corresponding to (sampling point 1, sampling point 2, …) is respectively N1, N2, …, and the relative overlapping coverage is (N1+ N2+ …)/the number of first sampling points of the target cell. The second preset threshold is set according to the performance of the system and the actual requirements of the user, and is described here with 6db as an example.
Step 202: and when the relative overlapping coverage is greater than a first preset threshold, the cell is an overlapping coverage cell.
In this step, the overlapping coverage cell is judged: when A is used as the target cell, when the relative overlapping coverage of A obtained by the method for calculating the relative overlapping coverage is more than a threshold, the A is judged to be the overlapping coverage cell. The threshold is set according to the performance of the system and the actual requirement of the user, and is not limited herein.
Step 203: and classifying the overlapped coverage cells to obtain classification information.
Wherein the classification information is: overlapping coverage active interference cells, overlapping coverage passive interference cells, overlapping coverage mutual interference cells.
In this step, the overlapping coverage cells are further divided into an overlapping coverage active interference cell, an overlapping coverage passive interference cell, and an overlapping coverage mutual interference cell.
The method for analyzing cell performance in this embodiment further determines a bidirectional overlapping coverage relationship, and explains which cell coverage abnormality causes index degradation of a neighboring cell in the bidirectional overlapping coverage relationship, thereby revealing an influence relationship between cells.
Further, classifying the overlapping coverage cells comprises:
classifying the overlapping coverage cells according to the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the first cell and the adjacent cell is smaller than a second preset threshold, the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the second cell and the adjacent cell is smaller than the second preset threshold, and the average value of the signal intensities of the sampling points of which the signal intensities of the second cell and the first cell are smaller than the second preset threshold, wherein the first cell and the second cell are respectively cells serving as target cells in the cell relation matrix;
if the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the first cell and the adjacent cell is smaller than the second preset threshold is larger than the third preset threshold, the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the second cell and the adjacent cell is smaller than the second preset threshold is smaller than the fourth preset threshold, and the average value of the signal intensities of the sampling points of which the signal intensities of the second cell and the first cell are smaller than the second preset threshold is larger than the fourth preset threshold, the first cell is an overlapped coverage active interference cell;
if the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the first cell and the adjacent cell is smaller than the second preset threshold is smaller than the third preset threshold, the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the second cell and the adjacent cell is smaller than the second preset threshold is larger than the fourth preset threshold, and the average value of the signal intensities of the sampling points of which the difference values of the signal intensities of the second cell and the first cell are smaller than the second preset threshold is smaller than the fourth preset threshold, the first cell is an overlapped passive interference cell;
and if the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the first cell and the adjacent cell is smaller than the second preset threshold is smaller than the third preset threshold, the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the second cell and the adjacent cell is smaller than the second preset threshold is smaller than the fourth preset threshold, and the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the second cell and the adjacent cell is smaller than the second preset threshold is smaller than the fourth preset threshold, the first cell and the second cell are overlapped to cover the mutual interference cell.
The specific judgment process is as follows:
(1) the judgment process of the overlapped coverage active interference cell:
when the A cell is the target cell, if the A cell meets the following conditions:
1. SINRdiff6_ a is greater than 10;
2. SINRdiff6_ B is less than 5;
3. and when B is the target cell, SINRdiff6_ a' (in this case, B is the target cell, and a is the neighboring cell) is greater than 5;
then the cell a is determined to be an overlay coverage active interference cell.
The SINRdiff6_ a above being greater than 10 reveals that for overlapping coverage cell a, it is itself not severely interfered;
the SINRdiff6_ B is smaller than 5, and the SINRdiff6_ B is interfered by a certain amount in the adjacent area B;
the SINRdiff6_ a' being greater than 5 reveals that when the neighbor cell B becomes the target cell, then the a cell is not experiencing overlapping coverage interference.
The practical work guidance significance is as follows: the A should be preferably checked and modified to reduce the interference to the surrounding cells.
(2) The judgment process of the overlapped coverage passive interference cell:
when the A cell is the target cell, if the A cell meets the following conditions:
1. SINRdiff6_ a is less than 10;
2. SINRdiff6_ B is greater than 5;
3. and when B is the target cell, SINRdiff6_ A' (in this case, B is the target cell, and A is the neighboring cell) is less than 5;
then the cell a is determined to be an overlay passive interference cell.
The above SINRdiff6_ a being less than 10 reveals that for overlapping coverage cell a, it is itself subject to interference;
the fact that SINRdiff6_ B is greater than 5 reveals that for neighbor B, there is no interference;
the SINRdiff6_ a' being less than 5 reveals that when the neighbor cell B becomes the target cell, then the a cell experiences overlapping coverage interference.
The practical work guidance significance is as follows: and B should be preferably checked and corrected to reduce the interference to the surrounding cells.
(3) The judgment process of the overlapping coverage mutual interference cell:
when the A cell is the target cell, the following conditions are simultaneously met:
1. SINRdiff6_ a is less than 10;
2. SINRdiff6_ B is less than 5;
3. and when B is the target cell, SINRdiff6_ B 'is less than 10 and SINRdiff6_ A' (in this case, B is the target cell and A is the neighboring cell) is less than 5
Then the cells a and B are determined to be overlapping coverage inter-interference cells.
The above SINRdiff6_ a being less than 10 reveals that for overlapping coverage cell a, it is itself subject to interference;
the SINRdiff6_ B being less than 5 reveals that for the neighbor cell B, interference is experienced;
the above SINRdiff6_ B 'being less than 10 and SINRdiff6_ a' being less than 5 reveals that both itself and neighbor a cells experience overlapping coverage interference when neighbor B becomes the target cell.
In (1), (2) and (3), SINRdiff6_ a is an average value of signal strengths of the sampling points of which the difference value of the signal strengths of the first cell and the neighboring cell is smaller than a second preset threshold; SINRdiff6_ B is the average value of the signal intensity of the sampling points of which the difference value of the signal intensity of the second cell and the adjacent cell is smaller than a second preset threshold value; SINRdiff6_ a' is an average value of signal strengths of the second cell and the first cell, where the signal strength of the first cell is smaller than a second preset threshold, and the first cell and the second cell are cells serving as target cells in the cell relation matrix. The third preset threshold and the fourth preset threshold are set according to the performance of the system and the actual requirements of the user, and are respectively described with 10 and 5 as examples.
The embodiment of the invention correlatively analyzes indexes such as RSRP, SINR and the like of the overlapped coverage sampling points through the construction of the cell relation matrix, and can reveal the influence relation between two cells; furthermore, the performance of handover, interference, etc. may also be analyzed by other parameters of the cell relation matrix, for example, by the accumulated value of the number of handover failures, PCI, etc., which will not be described in detail herein. The present embodiment takes the coverage overlap performance as an example, and describes how to perform analysis by using the cell relation matrix.
The functions in practical application are exemplified as follows:
when a target cell of a cell A is provided, n 6db difference adjacent cells exist, if the n 6db difference adjacent cells are all deteriorated in different degrees, and when the n adjacent cells are respectively the target cell, the cell A is taken as the adjacent cells but has no deterioration phenomenon, which indicates that in the overlapping coverage relation, the index of the adjacent cells is deteriorated mainly due to the abnormal coverage of the cell A, and a worker mainly optimizes the cell A in the optimization process, so that other cells can be observed firstly and judged according to the situation.
In practical analysis, because a cell is related to a plurality of 6db neighboring cells, a certain cell may be determined to be an overlay coverage active interference cell and an overlay coverage passive interference cell at the same time, and such cells also need to be modified with emphasis.
In practical analysis, the RSRP mean value and the SINR mean value of all frequency sweep sampling points of a cell and the drive test frequency sweep data can be combined to perform joint analysis.
Meanwhile, for the overlapped coverage cells, indexes are not deteriorated, and the method is suggested to be incorporated into daily analysis for important monitoring.
The embodiment of the invention has the following advantages in practical application:
1. a set of complete cell relation matrix construction algorithm is autonomously developed, the cell relation matrix is calculated according to key measurement information received in a certain time period and a calculation rule to obtain a PCI conflict number accumulated value, a PCI confusion number accumulated value, a RSRP difference value accumulated value, an accumulated value of the occurrence frequency of a target cell and an adjacent cell, a PCI module 3/module 6 interference number accumulated value and the like between the target cell and the adjacent cell, and the calculated value is combined with the network configuration information of the current LTE system to generate a relation matrix table capable of reflecting the relation value between any two cells in the LTE system.
2. And a set of complete algorithm flow is provided, and a bidirectional overlapping coverage relation between cells is judged according to the generated relation matrix, wherein the bidirectional overlapping coverage relation refers to an analysis method for respectively analyzing the signal strength, the overlapping degree and other performance indexes of the cell B and the cell A when the cell A and the cell B are respectively strongest signals of frequency sweep.
Therefore, the embodiment of the invention has the characteristics of simplicity, practicability, high efficiency, intuition and the like.
Fig. 4 is a schematic structural diagram of a cell performance analysis apparatus according to an embodiment of the present invention, and as shown in fig. 4, the apparatus includes:
the generation module 11 is configured to generate a cell relation matrix according to the collected drive test sweep frequency data;
and a processing module 12, configured to determine a bidirectional overlapping coverage relationship between cells according to the cell relationship matrix, and analyze performance of the cells according to the bidirectional overlapping coverage relationship.
The cell performance analysis apparatus provided in this embodiment is an embodiment of an apparatus corresponding to the cell performance analysis method shown in fig. 1, and the effect and principle thereof are similar, and are not described herein again.
Further, the generating module 11 is specifically configured to:
acquiring a performance index of a neighboring cell of a first cell to obtain a first performance index, wherein the first cell is as follows: sequencing the scanned cells according to the drive test sweep frequency data from large to small or from small to large in signal intensity sequence to obtain an obtained target cell, wherein the target cell is a cell arranged at the first position when the sequencing process is from large to small, or is arranged at the last position when the sequencing process is from small to large;
acquiring a performance index of adjacent cells of a second cell to obtain a second performance index, wherein the second cell is a cell of which any adjacent cell in the adjacent cells of the first cell is taken as a target cell;
and combining the first performance index and the second performance index to generate a cell relation matrix.
Further, the processing module 12 is specifically configured to:
determining the relative overlapping coverage of the cells according to the cell relation matrix;
when the relative overlapping coverage is greater than a first preset threshold, the cell is an overlapping coverage cell;
classifying the overlapped coverage cells to obtain classification information, wherein the classification information is as follows: overlapping coverage active interference cells, overlapping coverage passive interference cells, overlapping coverage mutual interference cells.
Further, the relative overlapping coverage is:
the ratio of the sum of the number of the cells corresponding to the first sampling point of the target cell and the second sampling point of the adjacent cell with the signal intensity difference of a second preset threshold value to the number of the first sampling points in the target cell is obtained, wherein the number of the first sampling points is the number of the sampling points of which the signal intensity of the target cell exceeds a fifth preset threshold value.
Further, the processing module 12 is further configured to:
classifying the overlapping coverage cells according to the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the first cell and the adjacent cell is smaller than a second preset threshold, the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the second cell and the adjacent cell is smaller than the second preset threshold, and the average value of the signal intensities of the sampling points of which the signal intensities of the second cell and the first cell are smaller than the second preset threshold, wherein the first cell and the second cell are respectively cells serving as target cells in the cell relation matrix;
if the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the first cell and the adjacent cell is smaller than the second preset threshold is larger than the third preset threshold, the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the second cell and the adjacent cell is smaller than the second preset threshold is smaller than the fourth preset threshold, and the average value of the signal intensities of the sampling points of which the signal intensities of the second cell and the first cell are smaller than the second preset threshold is larger than the fourth preset threshold, the first cell is an overlapped coverage active interference cell;
if the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the first cell and the adjacent cell is smaller than the second preset threshold is smaller than the third preset threshold, the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the second cell and the adjacent cell is smaller than the second preset threshold is larger than the fourth preset threshold, and the average value of the signal intensities of the sampling points of which the difference values of the signal intensities of the second cell and the first cell are smaller than the second preset threshold is smaller than the fourth preset threshold, the first cell is an overlapped passive interference cell;
and if the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the first cell and the adjacent cell is smaller than the second preset threshold is smaller than the third preset threshold, the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the second cell and the adjacent cell is smaller than the second preset threshold is smaller than the fourth preset threshold, and the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the second cell and the adjacent cell is smaller than the second preset threshold is smaller than the fourth preset threshold, the first cell and the second cell are overlapped to cover the mutual interference cell.
In practical applications, the generating module 11 and the processing module 12 may be implemented by a Central Processing Unit (CPU), a microprocessor unit (MPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), or the like located at the terminal.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (2)
1. A method for cell performance analysis, the method comprising:
generating a cell relation matrix according to the collected drive test frequency sweep data; wherein the cell relation matrix includes at least one of the following parameters: the method comprises the steps that a physical cell identification PCI conflict number accumulated value, a PCI confusion number accumulated value, a Reference Signal Received Power (RSRP) difference value accumulated value, an accumulated value of the occurrence frequency of a target cell and an adjacent interval, a switching failure number accumulated value, a modulus 3 interference number and a modulus 6 interference number are obtained; wherein, the generating the cell relation matrix according to the collected drive test sweep frequency data comprises: acquiring a performance index of a neighboring cell of a first cell to obtain a first performance index, wherein the first cell is as follows: sequencing the scanned cells according to the drive test sweep frequency data from large to small or from small to large in signal intensity sequence to obtain a target cell, wherein the target cell is a cell arranged at the top when sequencing is performed from large to small in the sequencing process; or when the sorting process is from small to large, the cells are ranked at the last position; acquiring a performance index of adjacent cells of a second cell to obtain a second performance index, wherein the second cell is a cell of which any adjacent cell in the adjacent cells of the first cell is taken as a target cell; merging the first performance index and the second performance index to generate a cell relation matrix;
determining a bidirectional overlapping coverage relation between cells according to the cell relation matrix, and analyzing the performance of the cells according to the bidirectional overlapping coverage relation; the determining the bidirectional overlapping coverage relation between the cells according to the cell relation matrix comprises: determining the relative overlapping coverage of the cells according to the cell relation matrix; when the relative overlapping coverage is greater than a first preset threshold, the cell is an overlapping coverage cell; classifying the overlapped coverage cells to obtain classification information, wherein the classification information is as follows: overlapping coverage active interference cells, overlapping coverage passive interference cells and overlapping coverage mutual interference cells;
wherein the relative overlapping coverage is: the ratio of the sum of the cell number corresponding to a first sampling point of the target cell and a second sampling point of the neighboring cell, the signal intensity of which is different by a second preset threshold value, to the first sampling point number in the target cell; the number of the first sampling points is the number of sampling points of which the signal intensity of the target cell exceeds a fifth preset threshold value;
the classifying the overlapping coverage cells comprises:
classifying the overlapped coverage cells according to the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the first cell and the adjacent cell is smaller than a second preset threshold value, the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the second cell and the adjacent cell is smaller than the second preset threshold value, and the average value of the signal intensity of the sampling points of which the signal intensity between the second cell and the first cell is smaller than the second preset threshold value; the first cell and the second cell are respectively cells serving as target cells in the cell relation matrix;
if the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the first cell and the adjacent cell is smaller than the second preset threshold is larger than the third preset threshold, the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the second cell and the adjacent cell is smaller than the second preset threshold is smaller than the fourth preset threshold, and the average value of the signal intensities of the sampling points of which the signal intensities of the second cell and the first cell are smaller than the second preset threshold is larger than the fourth preset threshold, the first cell is an overlapped active interference cell;
if the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the first cell and the adjacent cell is smaller than the second preset threshold is smaller than the third preset threshold, the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the second cell and the adjacent cell is smaller than the second preset threshold is larger than the fourth preset threshold, and the average value of the signal intensities of the sampling points of which the signal intensities of the second cell and the first cell are smaller than the second preset threshold is smaller than the fourth preset threshold, the first cell is an overlapped passive interference cell;
and if the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the first cell and the adjacent cell is smaller than the second preset threshold is smaller than the third preset threshold, the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the second cell and the adjacent cell is smaller than the second preset threshold is smaller than the fourth preset threshold, and the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the second cell and the adjacent cell is smaller than the second preset threshold is smaller than the fourth preset threshold, the first cell and the second cell are overlapped to cover the mutual interference cell.
2. An apparatus for cell performance analysis, the apparatus comprising:
the generation module is used for generating a cell relation matrix according to the collected drive test frequency sweep data; wherein the cell relation matrix at least comprises at least one of the following parameters: the method comprises the steps that a physical cell identification PCI conflict number accumulated value, a PCI confusion number accumulated value, a Reference Signal Received Power (RSRP) difference value accumulated value, an accumulated value of the occurrence frequency of a target cell and an adjacent interval, a switching failure number accumulated value, a modulus 3 interference number and a modulus 6 interference number are obtained; wherein the generation module is specifically configured to: acquiring a performance index of a neighboring cell of a first cell to obtain a first performance index, wherein the first cell is as follows: sequencing the scanned cells according to the drive test sweep frequency data from large to small or from small to large in signal intensity sequence to obtain a target cell, wherein the target cell is a cell arranged at the top when sequencing is performed from large to small in the sequencing process; or when the sorting process is from small to large, the cells are ranked at the last position; acquiring a performance index of adjacent cells of a second cell to obtain a second performance index, wherein the second cell is a cell of which any adjacent cell in the adjacent cells of the first cell is taken as a target cell; merging the first performance index and the second performance index to generate a cell relation matrix;
the processing module is used for determining the bidirectional overlapping coverage relation among the cells according to the cell relation matrix and analyzing the performance of the cells according to the bidirectional overlapping coverage relation; wherein the processing module is specifically configured to: determining the relative overlapping coverage of the cells according to the cell relation matrix; when the relative overlapping coverage is greater than a first preset threshold, the cell is an overlapping coverage cell; classifying the overlapped coverage cells to obtain classification information, wherein the classification information is as follows: overlapping coverage active interference cells, overlapping coverage passive interference cells and overlapping coverage mutual interference cells;
wherein the relative overlapping coverage is: the ratio of the sum of the number of the cells corresponding to a second sampling point, which is different from the signal intensity of the adjacent cell by a second preset threshold value, of the first sampling point of the target cell to the number of the first sampling points in the target cell, wherein the first sampling points are the number of the sampling points of which the signal intensity of the target cell exceeds a fifth preset threshold value;
the processing module is further configured to:
classifying the overlapping coverage cells according to the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the first cell and the adjacent cell is smaller than a second preset threshold value, the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the second cell and the adjacent cell is smaller than the second preset threshold value, and the average value of the signal intensity of the sampling points of which the signal intensity between the second cell and the first cell is smaller than the second preset threshold value, wherein the first cell and the second cell are respectively cells serving as target cells in the cell relation matrix;
if the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the first cell and the adjacent cell is smaller than the second preset threshold is larger than the third preset threshold, the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the second cell and the adjacent cell is smaller than the second preset threshold is smaller than the fourth preset threshold, and the average value of the signal intensities of the sampling points of which the signal intensities of the second cell and the first cell are smaller than the second preset threshold is larger than the fourth preset threshold, the first cell is an overlapped active interference cell;
if the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the first cell and the adjacent cell is smaller than the second preset threshold is smaller than the third preset threshold, the average value of the signal intensities of the sampling points of which the difference value of the signal intensities of the second cell and the adjacent cell is smaller than the second preset threshold is larger than the fourth preset threshold, and the average value of the signal intensities of the sampling points of which the signal intensities of the second cell and the first cell are smaller than the second preset threshold is smaller than the fourth preset threshold, the first cell is an overlapped passive interference cell;
and if the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the first cell and the adjacent cell is smaller than the second preset threshold is smaller than the third preset threshold, the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the second cell and the adjacent cell is smaller than the second preset threshold is smaller than the fourth preset threshold, and the average value of the signal intensity of the sampling points of which the difference value of the signal intensity between the second cell and the adjacent cell is smaller than the second preset threshold is smaller than the fourth preset threshold, the first cell and the second cell are overlapped to cover the mutual interference cell.
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