CN107182066B - Method and device for checking whole-network station work parameters based on periodic measurement data - Google Patents

Method and device for checking whole-network station work parameters based on periodic measurement data Download PDF

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CN107182066B
CN107182066B CN201610133802.9A CN201610133802A CN107182066B CN 107182066 B CN107182066 B CN 107182066B CN 201610133802 A CN201610133802 A CN 201610133802A CN 107182066 B CN107182066 B CN 107182066B
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CN107182066A (en
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李华木
杨家珠
黄友亮
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China Mobile Group Fujian Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
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Abstract

The invention discloses a method and a device for checking the whole network station working parameters based on periodic measurement data, wherein the method comprises the following steps: collecting periodic measurement data of all cells of the whole network and carrying out data analysis to obtain i adjacent cells which are around each target cell and have actual strong correlation with the target cell, wherein i is a positive integer greater than or equal to 1; and determining whether the i adjacent cells can theoretically generate relevance with the target cell according to the working parameters provided by the base station working parameter library, and if the ratio of the adjacent cells which are not in strong relevance theoretically and are corresponding to the target cell is judged to exceed a preset threshold based on a relevance calculation result, determining that an error exists between the value of the station working parameters of the target cell in the base station working parameter library and the actual working parameters.

Description

Method and device for checking whole-network station work parameters based on periodic measurement data
Technical Field
The invention relates to a checking technology, in particular to a method and a device for checking full-network station work parameters based on periodic measurement data.
Background
For checking station parameters in an LTE network, the prior art mainly includes the following schemes:
the existing scheme 1: the station worker parameter check is carried out through manual on-site station arrival, longitude and latitude and azimuth checking through a GPS and a level meter, and the like, so that whether the worker parameter of the station has errors can be directly found. The problems with this solution are: due to manual operation, the workload of the whole network inspection is large, only partial sites can be actually checked, the whole network employee parameter inspection cannot be performed in a normalized mode, and the daily optimization work of the LTE network optimization cannot be supported efficiently.
Existing scheme 2: and (3) carrying out site engineering parameter checking by adopting an Automatic neighbor cell optimization (ANR) technology. The ANR function is that a terminal measures a wireless signal and reports a cell with the best level to a network side as a neighbor cell reference cell. By comparing the neighbor cell reported by the ANR function with the neighbor cell calculated according to the GIS coordinate, if the matching degree is lower than a certain threshold, the station parameter of the LTE cell can be found to have an error. The problems with this solution are: ANR is a terminal selectable function, most terminals of the existing network do not support the ANR function, and reported ANR neighbor cells cannot reflect the problem of the whole network. In addition, the ANR function requires the terminal to measure all the time, which increases the power consumption of the terminal and reduces the standby time of the terminal.
Existing scheme 3: the azimuth angle is judged based on periodic measurement data such as signal transmission time delay (TA) reported by MRO and signal arrival angle (AOA), and if the AOA exceeds a certain range, the station working parameter of the LTE cell is found to be wrong. The problems with this solution are: on one hand, in a main urban area, buildings are dense, signal reflection and diffraction environments are rich, and TA + AOA cannot really reflect the position relation between UE and eNodeB. On the other hand, the AOA needs to start beamforming on the network side to perform measurement, but the LTE network only uses beamforming technology for TM7 and TM8, and for UEs in other TM modes, there is no AOA measurement amount, which may cause that part of UEs cannot participate in evaluation, and the evaluation accuracy is reduced.
Existing scheme 4: and calculating the association degree of the base station based on the switching times, and if the switching frequency sequence is not matched with the association degree of the GIS, judging that the cell parameter is wrong. The problems with this solution are: the switching frequency depends on the relationship of the configured adjacent cells, and the adjacent cell relationship has the problems of missing and mismatching, so that the judgment accuracy is reduced.
Disclosure of Invention
In view of this, embodiments of the present invention are intended to provide a method and an apparatus for checking the website worker parameters of the whole network based on periodic measurement data, so as to at least solve the problems in the prior art.
The technical scheme of the embodiment of the invention is realized as follows:
a method for checking the whole network station work parameters based on periodic measurement data comprises the following steps:
collecting periodic measurement data of all cells of the whole network and carrying out data analysis to obtain i adjacent cells which are around each target cell and have actual strong correlation with the target cell, wherein i is a positive integer greater than or equal to 1;
and determining whether the i adjacent cells can theoretically generate relevance with the target cell according to the working parameters provided by the base station working parameter library, and if the ratio of the adjacent cells which are not in strong relevance theoretically and are corresponding to the target cell is judged to exceed a preset threshold based on a relevance calculation result, determining that an error exists between the value of the station working parameters of the target cell in the base station working parameter library and the actual working parameters.
In the embodiment of the present invention, the collecting periodic measurement data of all cells in the entire network and performing data analysis further includes:
and if the number of sampling points of the periodic measurement data is greater than or equal to a first threshold value, determining that the data acquisition of the periodic measurement data of the target cell has integrity, and judging that the target cell is an effective cell.
In the embodiment of the present invention, the obtaining i neighboring cells around each target cell and having an actual strong association with the target cell includes:
taking the target cell as a serving cell and taking surrounding cells of the target cell as neighboring cells;
and if the sampling point number of the periodic measurement data of which the absolute value of the main RSRP-adjacent RSRP of the peripheral cell of the service cell is within 6db accounts for the total sampling point number proportion of the periodic measurement data of the time and is more than or equal to a second threshold value, the peripheral cell is considered as an actual strong-correlation adjacent cell of the target cell, so that i adjacent cells of which the periphery of each target cell is actually and strongly correlated with the peripheral cell are obtained.
In the embodiment of the present invention, the method further includes:
forming a candidate cell set by the i adjacent cells which are actually strongly associated with the target cell;
and judging the co-sited co-directional cells in the candidate cell set, and only reserving one cell for relevance calculation.
In this embodiment of the present invention, the determining the co-sited co-directional cell in the candidate cell set includes:
if any two cells in the candidate cell set simultaneously accord with the following distance judgment condition and the data judgment condition of the periodic measurement data, the any two cells are co-sited and co-directional cells; wherein,
the distance judgment condition includes: the distance between the two cells is less than 50 meters;
the data judgment condition of the periodic measurement data comprises the following steps: the ratio of the absolute value of the RSRP of the main service cell to the RSRP of the adjacent cells of the two cells in the same frequency band is less than 6db > 80%; or the ratio of the absolute value of the primary serving cell RSRP to the adjacent cell RSRP of the two cells in different frequency bands is less than 10db > -80%.
In this embodiment of the present invention, the determining, according to the working parameters provided by the base station working parameter library, whether the i neighboring cells can theoretically generate a correlation with the target cell includes:
judging the distance according to the relation among the vertical lobe angle, the downward inclination angle, the station height and the coverage distance of the target cell, and if the association relation between the target cell and a neighboring cell is correct, obtaining the neighboring cell marked as correct distance;
and judging the azimuth angle of the adjacent cell marked as the correct distance, and determining that the adjacent cell is associated with the target cell if the adjacent cell meets a preset condition.
A whole-network-site employee parameter checking device based on periodic measurement data, the device comprising:
the acquisition and analysis unit is used for collecting periodic measurement data of all cells of the whole network and carrying out data analysis to obtain i adjacent cells which are around each target cell and have actual strong correlation with the target cell, wherein i is a positive integer greater than or equal to 1;
and the error checking unit is used for determining whether the i adjacent cells can theoretically generate relevance with the target cell according to the working parameters provided by the base station working parameter library, and if the ratio of the adjacent cells which are not in strong relevance theoretically and are corresponding to the target cell is judged to exceed a preset threshold based on a relevance calculation result, determining that the error exists between the value of the working parameters of the station of the target cell in the base station working parameter library and the actual working parameters.
In an embodiment of the present invention, the collecting and analyzing unit is further configured to:
and if the number of sampling points of the periodic measurement data is greater than or equal to a first threshold value, determining that the data acquisition of the periodic measurement data of the target cell has integrity, and judging that the target cell is an effective cell.
In an embodiment of the present invention, the collecting and analyzing unit is further configured to:
taking the target cell as a serving cell and taking surrounding cells of the target cell as neighboring cells;
and if the sampling point number of the periodic measurement data of which the absolute value of the main RSRP-adjacent RSRP of the peripheral cell of the service cell is within 6db accounts for the total sampling point number proportion of the periodic measurement data of the time and is more than or equal to a second threshold value, the peripheral cell is considered as an actual strong-correlation adjacent cell of the target cell, so that i adjacent cells of which the periphery of each target cell is actually and strongly correlated with the peripheral cell are obtained.
In the embodiment of the present invention, the apparatus further includes: an active cell screening unit comprising:
a candidate cell set determining subunit, configured to form a candidate cell set with i neighboring cells of the target cell that are actually strongly associated;
and the co-sited co-directional cell judging unit is used for judging co-sited co-directional cells in the candidate cell set and only reserving one cell for relevance calculation.
In this embodiment of the present invention, the co-sited co-directional cell determining unit is further configured to:
if any two cells in the candidate cell set simultaneously accord with the following distance judgment condition and the data judgment condition of the periodic measurement data, the any two cells are co-sited and co-directional cells; wherein,
the distance judgment condition includes: the distance between the two cells is less than 50 meters;
the data judgment condition of the periodic measurement data comprises the following steps: the ratio of the absolute value of the RSRP of the main service cell to the RSRP of the adjacent cells of the two cells in the same frequency band is less than 6db > 80%; or the ratio of the absolute value of the primary serving cell RSRP to the adjacent cell RSRP of the two cells in different frequency bands is less than 10db > -80%.
In an embodiment of the present invention, the error checking unit is further configured to:
judging the distance according to the relation among the vertical lobe angle, the downward inclination angle, the station height and the coverage distance of the target cell, and if the association relation between the target cell and a neighboring cell is correct, obtaining the neighboring cell marked as correct distance;
and judging the azimuth angle of the adjacent cell marked as the correct distance, and determining that the adjacent cell is associated with the target cell if the adjacent cell meets a preset condition.
The method for checking the work parameters of the whole network site based on the periodic measurement data comprises the following steps: collecting periodic measurement data of all cells of the whole network and carrying out data analysis to obtain i adjacent cells which are around each target cell and have actual strong correlation with the target cell, wherein i is a positive integer greater than or equal to 1; and determining whether the i adjacent cells can theoretically generate relevance with the target cell according to the working parameters provided by the base station working parameter library, and if the ratio of the adjacent cells which are not in strong relevance theoretically and are corresponding to the target cell is judged to exceed a preset threshold based on a relevance calculation result, determining that an error exists between the value of the station working parameters of the target cell in the base station working parameter library and the actual working parameters. By adopting the embodiment of the invention, the problems in the prior art can be solved, and the checking efficiency and precision can be improved.
Drawings
FIG. 1 is a schematic diagram of a process flow according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a flow chart of an implementation of a first application scenario in which the embodiments of the present invention are applied;
fig. 3 is a schematic diagram of distance determination performed in the second application scenario in which the embodiment of the present invention is applied;
fig. 4-7 are a plurality of schematic diagrams illustrating the determination of the direction angle in the second application scenario according to the embodiment of the present invention.
Detailed Description
The following describes the embodiments in further detail with reference to the accompanying drawings.
The embodiment of the invention provides a method for checking the whole network station working parameters based on periodic measurement data, as shown in fig. 1, the method comprises the following steps:
step 101, collecting periodic measurement data of all cells of the whole network and performing data analysis to obtain i adjacent cells, wherein the periphery of each target cell is actually strongly associated with the target cell, and i is a positive integer greater than or equal to 1.
Here, the periodic measurement data may include: MRO and MRS files. In an LTE scenario, the data for data analysis may be collected MRO and MRS files of the LTE cells of the entire network.
And 102, determining whether the i adjacent cells can theoretically generate relevance with the target cell according to the working parameters provided by the base station working parameter library, and if the ratio of the adjacent cells which are not in strong relevance theoretically and are corresponding to the target cell is judged to exceed a preset threshold based on a relevance calculation result, determining that an error exists between the value of the working parameters of the station of the target cell in the base station working parameter library and an actual working parameter value.
In an embodiment of the present invention, the collecting periodic measurement data of all cells in a whole network and performing data analysis further includes: and if the number of sampling points of the periodic measurement data is greater than or equal to a first threshold (such as 500), determining that the data acquisition of the periodic measurement data of the target cell has integrity, and judging that the target cell is an effective cell.
In an embodiment of the present invention, the obtaining i neighboring cells around each target cell and having an actual strong association with the target cell includes: taking the target cell as a serving cell and taking surrounding cells of the target cell as neighboring cells; and if the proportion of the number of sampling points of the periodic measurement data with the absolute value of Reference Signal Received Power (RSRP) adjacent to the RSRP within 6db to the total number of sampling points of the periodic measurement data is greater than or equal to a second threshold value, the peripheral cell is considered as an actual strong-correlation adjacent cell of the target cell, so as to obtain i adjacent cells with actual strong correlation between the periphery of each target cell and the target cell.
In an implementation manner of an embodiment of the present invention, the method further includes: forming a candidate cell set by the i adjacent cells which are actually strongly associated with the target cell; and judging the co-sited co-directional cells in the candidate cell set, and only reserving one cell for relevance calculation.
In an embodiment of the present invention, the determining the co-sited co-directional cells in the candidate cell set includes: and if any two cells in the candidate cell set simultaneously accord with the following distance judgment condition and the data judgment condition of the periodic measurement data, the any two cells are co-sited and co-directional cells.
Wherein the distance judgment condition includes: the distance between the two cells is less than 50 meters;
the data judgment condition of the periodic measurement data comprises the following steps: the ratio of the absolute value of the RSRP of the main service cell to the RSRP of the adjacent cells of the two cells in the same frequency band is less than 6db > 80%; or the ratio of the absolute value of the primary serving cell RSRP to the adjacent cell RSRP of the two cells in different frequency bands is less than 10db > -80%.
In an embodiment of the present invention, the determining, according to the service parameters provided by the base station service parameter library, whether the i neighboring cells can theoretically generate a correlation with the target cell includes: judging the distance according to the relation among the vertical lobe angle, the downward inclination angle, the station height and the coverage distance of the target cell, and if the association relation between the target cell and a neighboring cell is correct, obtaining the neighboring cell marked as correct distance; and judging the azimuth angle of the adjacent cell marked as the correct distance, and determining that the adjacent cell is associated with the target cell if the adjacent cell meets a preset condition. It should be noted that, in relation to "meeting the preset condition, it is determined that the neighboring cell is associated with the target cell", for example, detailed description of three different situations in the application scenario two of the subsequent application embodiment is omitted here.
The embodiment of the invention also provides a device for checking the whole network station working parameters based on the periodic measurement data, which comprises: the acquisition and analysis unit is used for collecting periodic measurement data of all cells of the whole network and carrying out data analysis to obtain i adjacent cells which are around each target cell and have actual strong correlation with the target cell, wherein i is a positive integer greater than or equal to 1; and the error checking unit is used for determining whether the i adjacent cells can theoretically generate relevance with the target cell according to the working parameters provided by the base station working parameter library, and if the ratio of the adjacent cells which are not in strong relevance theoretically and are corresponding to the target cell is judged to exceed a preset threshold based on the relevance calculation result, determining that the error exists between the value of the working parameters of the station of the target cell in the base station working parameter library and the actual working parameters.
In an embodiment of the present invention, the collecting and analyzing unit is further configured to: and if the number of sampling points of the periodic measurement data is greater than or equal to a first threshold value, determining that the data acquisition of the periodic measurement data of the target cell has integrity, and judging that the target cell is an effective cell.
In an embodiment of the present invention, the collecting and analyzing unit is further configured to: taking the target cell as a serving cell and taking surrounding cells of the target cell as neighboring cells; and if the sampling point number of the periodic measurement data of which the absolute value of the main RSRP-adjacent RSRP of the peripheral cell of the service cell is within 6db accounts for the total sampling point number proportion of the periodic measurement data of the time and is more than or equal to a second threshold value, the peripheral cell is considered as an actual strong-correlation adjacent cell of the target cell, so that i adjacent cells of which the periphery of each target cell is actually and strongly correlated with the peripheral cell are obtained.
In an implementation manner of an embodiment of the present invention, the apparatus further includes: an active cell screening unit comprising: a candidate cell set determining subunit, configured to form a candidate cell set with i neighboring cells of the target cell that are actually strongly associated; and the co-sited co-directional cell judging unit is used for judging co-sited co-directional cells in the candidate cell set and only reserving one cell for relevance calculation.
In an embodiment of the present invention, the co-sited co-directional cell determining unit is further configured to: and if any two cells in the candidate cell set simultaneously accord with the following distance judgment condition and the data judgment condition of the periodic measurement data, the any two cells are co-sited and co-directional cells.
Wherein the distance judgment condition includes: the distance between the two cells is less than 50 meters;
the data judgment condition of the periodic measurement data comprises the following steps: the ratio of the absolute value of the RSRP of the main service cell to the RSRP of the adjacent cells of the two cells in the same frequency band is less than 6db > 80%; or the ratio of the absolute value of the primary serving cell RSRP to the adjacent cell RSRP of the two cells in different frequency bands is less than 10db > -80%.
In an embodiment of the present invention, the error checking unit is further configured to: judging the distance according to the relation among the vertical lobe angle, the downward inclination angle, the station height and the coverage distance of the target cell, and if the association relation between the target cell and a neighboring cell is correct, obtaining the neighboring cell marked as correct distance; and judging the azimuth angle of the adjacent cell marked as the correct distance, and determining that the adjacent cell is associated with the target cell if the adjacent cell meets a preset condition.
The embodiment of the invention is explained by taking a practical application scene as an example as follows:
in an application scenario applying the embodiment of the present invention, a site parameter checking scheme for calculating a base station association degree based on periodic measurement data is specifically provided. Here, the periodic measurement data includes MRO and MRS files. The site working parameter checking scheme of the application scene comprises the following steps: and determining neighboring cells with real strong correlation with the neighboring cells by analyzing MRO data of the LTE cell of the whole network, and deducing whether the neighboring cells with the real strong correlation can be correlated in theory according to the working parameters provided by the base station working parameter base. If the real strong association of a certain cell but the occupation ratio of the adjacent cell without the strong association theoretically exceeds the preset threshold, the situation that an error exists between the value of the station working parameter of the cell in the working parameter library and the actual working parameter can be judged, and therefore the station working parameter checking work of the whole network LTE station can be efficiently finished.
The application scene adopts the embodiment of the invention, and can solve the following problems:
1. the embodiment of the invention can realize the regular checking of the working parameters of the whole network and ensure that the checking of the working parameter accuracy of the whole network enters into normalization.
2. The MRO reporting is a necessary function of the terminal, does not need the special function support of the terminal, is irrelevant to the transmission mode of the base station, and can utilize the reported data of the terminal of the whole network to improve the positioning precision.
3. By adopting the embodiment of the invention, the relevance is calculated only based on the RSRP of the MRO, and the method and the device are suitable for all transmission modes and all coverage scenes.
4. And calculating according to the actually reported RSRP of the terminal, and being irrelevant to the configuration of the adjacent cell relation.
5. The accuracy of the working parameter is improved without making any prior assumption and depending on the current network parameter configuration.
The application scene one:
as shown in fig. 2, the process of determining whether there is an error between the value in the parameter library of a single cell and the actual parameter includes:
step 201, judging whether the current cell is an effective cell. If the number of MRO sampling points of the cell is less than 500, the integrity of the current MRO data of the current cell can be approximately considered to have a problem, and the current MRO data is not put into the calculation. If the number of MRO sampling points > is 500, the current MRO data acquisition of the cell can be considered to have integrity, and the accuracy of the working parameters of the cell can be judged based on the current MRO data.
Step 202: and determining the actual strong correlation adjacent cell of the target cell through the MRO data. And taking the target cell as a service cell and taking the peripheral cells as adjacent cells. And if the MRO sampling point number of the main RSRP-adjacent RSRP of one peripheral cell within the absolute value of 6db accounts for the total MRO sampling point number ratio of this time > is 10%, the peripheral cell is considered to be an actual strong-association adjacent cell of the target cell, and the step 203 is executed, otherwise, the peripheral cell is not the actual strong-association adjacent cell of the target cell and does not contribute to the rationality judgment.
Step 203: and forming a candidate cell set by the actual strong correlation adjacent cells of the target cell, and if the candidate cell set is an empty set, namely, the periphery of the target cell has no actual strong correlation adjacent cells, ending the correlation analysis of the target cell.
Step 204: for co-sited co-directional cells in the candidate cells, only one of the cells is reserved for subsequent calculation, so that the weight of each work parameter vector (longitude, latitude, station height, and downward inclination) of the candidate cell set is 1.
Here, the method for determining the co-sited co-directional coverage cell includes: if the two cells meet the following two conditions, the 2 cells are judged to be co-sited and co-directional coverage cells.
The first condition is as follows: distance judgment: the distance between two cells is less than 50 m
And a second condition: and (4) MRO data judgment: in MRO data, if the ratio of the absolute value of the primary serving cell RSRP to the neighboring cell RSRP of two cells in the same frequency band is less than 6db > is 80%, the ratio of the absolute value of the primary serving cell RSRP to the neighboring cell RSRP of two cells in different frequency bands is less than 10db > is 80%.
Step 205: to speed up the calculation, the candidate cell set may be sorted from high to low according to the sampling point ratio, then the top N (N > -6) cells are taken to participate in the subsequent calculation, and if the number of cells in the result of step4 is less than N, all cells are taken to participate in the subsequent calculation.
Step 206: and deducing whether the cell obtained by step4 has theoretical correlation according to the working parameters of the working parameter library, and marking the target cell as an error to the adjacent cell if the cell is actually correlated but not theoretically correlated.
Step 207, whether the error rate reaches a threshold or not, if not, the target cell parameter is accurate; otherwise, if the value exceeds the threshold, an error exists between the value of the station parameter of the target cell in the base station parameter database and the actual value of the station parameter.
Here, specifically: and calculating a cell error rate which is (the number of distance error cells + the number of angle error cells)/(the number of distance error cells + the number of angle correct cells), and if the cell error rate exceeds a preset threshold, judging that the working parameters of the cell in the working parameter library have errors.
Application scenario two: whether the cells with the results of the working parameter derivation step 204 according to the working parameter library have theoretically relevant relevance calculation process is realized, and the following steps are included:
firstly, distance judgment:
fig. 3 is a schematic diagram showing the theoretical relationship among the vertical lobe angle, the downtilt angle, the station height, and the coverage distance of a cell, where S, H, α, and β are the upper side lobe coverage distance, the station height, the downtilt angle, and the vertical lobe angle of a target cell, respectively, and if H, α, and β are known, H is obtained
Figure GDA0001060513820000101
S can be obtained according to the station height, the downward inclination angle and the azimuth angle of a target cell in the working parameter library, and the distance d between the target cell and each peripheral strong adjacent cell is obtained according to the longitude and latitude in the working parameter libraryiN, if a certain di>And S, marking the association relation from the target cell to the cell as distance error, otherwise, marking the association relation as distance correct, and entering the cell marked as distance correct into azimuth judgment.
II, azimuth angle judgment:
and judging the angle accuracy of the cell marked as accurate distance, if the cell marked as accurate distance is judged to be not associated, marking that the association relation from the target cell to the cell is an angle error, otherwise marking that the angle is correct. The specific algorithm for the angle determination is set forth below.
The horizontal coverage area of the directional antenna can be divided into 4 areas as shown in fig. 4, where area 1 is the main lobe coverage area of the base station, areas 2 and 4 are the side coverage areas of the base station, and area 3 is the back coverage area of the base station.
Let the directional angle of the target cell be α [0,360 ], and the horizontal lobe bandwidth of the antenna be β [30,120 ]]Direction angle α of a strongly peripheral associated celln、βn,αn∈[0,360),βn∈[30,120]The calculation of the theoretical correlation of two cells is illustrated below in three cases according to the value of α.
1) Case 1:
Figure GDA0001060513820000111
as shown in FIG. 5, the angle of coverage of the four regions can be described as
Figure GDA0001060513820000112
Figure GDA0001060513820000113
a1, if the neighboring cell is in area 1 of the target cell, the neighboring cell is associated with the target cell.
a2, when the adjacent cell is in area 2 of the target cell, if the azimuth of the adjacent cell satisfies the condition:
Figure GDA0001060513820000114
and is
Figure GDA0001060513820000115
The neighbor cell is considered to be not associated with the target cell, otherwise, the neighbor cell is considered to be associated.
a3, when the adjacent cell is in area 3 of the target cell, if the azimuth angle of the adjacent cell satisfies the condition:
Figure GDA0001060513820000116
or
Figure GDA0001060513820000117
The neighbor cell is considered to be not associated with the target cell, otherwise, the neighbor cell is considered to be associated.
a4, when the adjacent cell is located in the area 4 of the target cell, if the azimuth angle of the adjacent cell satisfies the condition:
Figure GDA0001060513820000118
and is
Figure GDA0001060513820000119
The neighbor cell is considered to be not associated with the target cell, otherwise, the neighbor cell is considered to be associated.
2) Situation 2
Figure GDA00010605138200001110
As shown in FIG. 6, the angle of coverage of four regions can be described as
Figure GDA00010605138200001111
Figure GDA00010605138200001112
b1, if the adjacent cell is in the area 1 of the target cell, the adjacent cell is associated with the target cell.
b2, when the adjacent cell is in the area 2 of the target cell, if the azimuth angle of the adjacent cell meets the condition:
Figure GDA0001060513820000121
and is
Figure GDA0001060513820000122
The neighbor cell is considered to be not associated with the target cell, otherwise, the neighbor cell is considered to be associated.
b3, when the adjacent cell is in the area 3 of the target cell, if the azimuth angle of the adjacent cell meets the condition:
Figure GDA0001060513820000123
or
Figure GDA0001060513820000124
The neighbor cell is considered to be not associated with the target cell, otherwise, the neighbor cell is considered to be associated.
b4, when the neighboring cell is located in the area 4 of the target cell, if the azimuth angle of the neighboring cell satisfies the condition:
Figure GDA00010605138200001215
and is
Figure GDA0001060513820000125
The neighbor cell is considered to be not associated with the target cell, otherwise, the neighbor cell is considered to be associated.
3) Case 3:
Figure GDA0001060513820000126
as shown in FIG. 7, the angle of coverage of the four regions can be described as
Figure GDA0001060513820000127
Figure GDA0001060513820000128
c1, if the adjacent cell is in the area 1 of the target cell, the adjacent cell is associated with the target cell.
c2, when the adjacent cell is in the area 2 of the target cell, if the azimuth angle of the adjacent cell meets the condition:
Figure GDA0001060513820000129
and is
Figure GDA00010605138200001210
The neighbor cell is considered to be not associated with the target cell, otherwise, the neighbor cell is considered to be associated.
c3, when the adjacent cell is in the area 3 of the target cell, if the azimuth angle of the adjacent cell meets the condition:
Figure GDA00010605138200001211
or
Figure GDA00010605138200001212
The neighbor cell is considered to be not associated with the target cell, otherwise, the neighbor cell is considered to be associated.
c4, when the adjacent cell is located in the area 4 of the target cell, if the azimuth angle of the adjacent cell meets the condition:
Figure GDA00010605138200001213
and is
Figure GDA00010605138200001214
The neighbor cell is considered to be not associated with the target cell, otherwise, the neighbor cell is considered to be associated.
The integrated module according to the embodiment of the present invention may also be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as an independent product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes. Thus, embodiments of the invention are not limited to any specific combination of hardware and software.
Correspondingly, the embodiment of the invention further provides a computer storage medium, in which a computer program is stored, and the computer program is used for executing the method for checking the whole network station parameters based on the periodic measurement data according to the embodiment of the invention.
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 (10)

1. A method for checking the whole network station work parameters based on periodic measurement data is characterized by comprising the following steps:
collecting periodic measurement data of all cells of the whole network and carrying out data analysis, if the number of sampling points of the periodic measurement data is greater than or equal to a first threshold value, determining that the data acquisition of the periodic measurement data of a target cell has integrity, and determining the target cell as an effective cell;
taking the effective cell as a service cell, taking surrounding cells of the service cell as neighboring cells, and obtaining i neighboring cells which are around each effective cell and have actual strong correlation with the effective cell, wherein i is a positive integer greater than or equal to 1;
and determining whether the i adjacent cells can theoretically generate relevance with the effective cell according to the working parameters provided by the base station working parameter library, and if the ratio of the adjacent cells which are not in strong relevance theoretically and are corresponding to the effective cell is judged to exceed a preset threshold based on a relevance calculation result, determining that an error exists between the value of the working parameters of the station of the effective cell in the base station working parameter library and an actual working parameter value.
2. The method of claim 1, wherein the obtaining i neighbor cells around each active cell and with which there exists a strong actual association comprises:
and if the sampling point number of the periodic measurement data of which the absolute value of the main RSRP-adjacent RSRP of the peripheral cells of the service cell is within 6db accounts for the total sampling point number proportion of the periodic measurement data of the time and is more than or equal to a second threshold value, the peripheral cells are considered as the actual strong-correlation adjacent cells of the effective cells, so that i adjacent cells of which the peripheries of each effective cell are in actual strong correlation with the effective cells are obtained.
3. The method of claim 2, further comprising:
forming a candidate cell set by the i adjacent cells which are actually strongly associated with the effective cell;
and judging the co-sited co-directional cells in the candidate cell set, and only reserving one cell for relevance calculation.
4. The method of claim 3, wherein the determining co-sited cells in the candidate set of cells comprises:
if any two cells in the candidate cell set simultaneously accord with the following distance judgment condition and the data judgment condition of the periodic measurement data, the any two cells are co-sited and co-directional cells; wherein,
the distance judgment condition includes: the distance between the two cells is less than 50 meters;
the data judgment condition of the periodic measurement data comprises the following steps: the ratio of the absolute value of the RSRP of the main service cell to the RSRP of the adjacent cells of the two cells in the same frequency band is less than 6db > 80%; or the ratio of the absolute value of the primary serving cell RSRP to the adjacent cell RSRP of the two cells in different frequency bands is less than 10db > -80%.
5. The method according to any of claims 1 to 4, wherein said determining whether the i neighboring cells can theoretically generate the association with the active cell according to the working parameters provided by the base station working parameter library comprises:
judging the distance according to the relation among the vertical lobe angle, the downward inclination angle, the station height and the coverage distance of the effective cell, and if the association relation between the effective cell and a neighboring cell is correct, obtaining the neighboring cell marked as correct distance;
and judging the azimuth angle of the adjacent cell marked as the correct distance, and determining that the adjacent cell is associated with the effective cell if the adjacent cell meets a preset condition.
6. A whole network station work parameter checking device based on periodic measurement data is characterized by comprising:
the system comprises an acquisition and analysis unit, a data acquisition and analysis unit and a data analysis unit, wherein the acquisition and analysis unit is used for collecting periodic measurement data of all cells of the whole network and carrying out data analysis, and if the number of sampling points of the periodic measurement data is greater than or equal to a first threshold value, the data acquisition of the periodic measurement data of a target cell is determined to have integrity, and the target cell is determined to be an effective cell; taking the effective cell as a service cell, taking surrounding cells of the service cell as neighboring cells, and obtaining i neighboring cells which are around each effective cell and have actual strong correlation with the effective cell, wherein i is a positive integer greater than or equal to 1;
and the error checking unit is used for determining whether the i adjacent cells can theoretically generate relevance with the effective cell according to the working parameters provided by the base station working parameter library, and if the ratio of the adjacent cells which are not in strong relevance theoretically and are corresponding to the effective cell is judged to exceed a preset threshold based on a relevance calculation result, determining that the error exists between the value of the working parameters of the effective cell and the actual working parameters.
7. The apparatus of claim 6, wherein the acquisition and analysis unit is further configured to:
and if the sampling point number of the periodic measurement data of which the absolute value of the main RSRP-adjacent RSRP of the peripheral cells of the service cell is within 6db accounts for the total sampling point number proportion of the periodic measurement data of the time and is more than or equal to a second threshold value, the peripheral cells are considered as the actual strong-correlation adjacent cells of the effective cells, so that i adjacent cells of which the peripheries of each effective cell are in actual strong correlation with the effective cells are obtained.
8. The apparatus of claim 7, further comprising: an active cell screening unit comprising:
a candidate cell set determining subunit, configured to form a candidate cell set with i neighboring cells of the effective cell that are actually strongly associated with each other;
and the co-sited co-directional cell judging unit is used for judging co-sited co-directional cells in the candidate cell set and only reserving one cell for relevance calculation.
9. The apparatus of claim 8, wherein the co-sited co-directional cell determining unit is further configured to:
if any two cells in the candidate cell set simultaneously accord with the following distance judgment condition and the data judgment condition of the periodic measurement data, the any two cells are co-sited and co-directional cells; wherein,
the distance judgment condition includes: the distance between the two cells is less than 50 meters;
the data judgment condition of the periodic measurement data comprises the following steps: the ratio of the absolute value of the RSRP of the main service cell to the RSRP of the adjacent cells of the two cells in the same frequency band is less than 6db > 80%; or the ratio of the absolute value of the primary serving cell RSRP to the adjacent cell RSRP of the two cells in different frequency bands is less than 10db > -80%.
10. The apparatus of any of claims 6 to 9, wherein the error checking unit is further configured to:
judging the distance according to the relation among the vertical lobe angle, the downward inclination angle, the station height and the coverage distance of the effective cell, and if the association relation between the effective cell and a neighboring cell is correct, obtaining the neighboring cell marked as correct distance;
and judging the azimuth angle of the adjacent cell marked as the correct distance, and determining that the adjacent cell is associated with the effective cell if the adjacent cell meets a preset condition.
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