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

Abstract

The present invention discloses a method and device for checking the site-wide parameters based on periodic measurement data, wherein the method includes: collecting periodic measurement data of all cells in the whole network and performing data analysis to obtain the surrounding area of each target cell. i adjacent cells with which there are actual strong associations, i is a positive integer greater than or equal to 1; determine whether the i adjacent cells can theoretically be correlated with the target cell according to the operating parameters provided by the base station’s industrial parameter database, if Based on the result of the correlation calculation, it is determined that the proportion of the i neighboring cells corresponding to the target cell that are theoretically not strongly associated exceeds the preset threshold, then it is determined that the site parameters of the target cell are working in the base station. There is an error between the value of the parameter library and the actual parameter value.

Description

A method and device for checking the engineering parameters of the whole site based on periodic measurement data

technical field

The present invention relates to verification technology, in particular to a method and device for checking the site parameters of a whole site based on periodic measurement data.

Background technique

For the site work parameter verification in the LTE network, the existing technologies mainly include the following solutions:

Existing solution 1: By manually going to the site, checking the latitude, longitude, and azimuth angle of the site through GPS and spirit level, etc., and checking the engineering parameters of the site, it is possible to directly find out whether there are errors in the engineering parameters of the site. The problem with this solution is: due to manual operation, it will lead to a large workload of the entire network inspection. In fact, only part of the sites can be checked randomly, and it is impossible to carry out the normal inspection of the entire network, and it cannot efficiently support the daily optimization of the LTE network. optimization work.

Existing solution 2: using the Neighbour Area Self-Optimization (ANR, Automatic Neighbour Relation) technology to check the site parameters. The ANR function is to measure the wireless signal through the terminal, and report the cell with the best level to the network side as the reference cell for the neighboring cell. By comparing the neighbor cell reported by the ANR function with the neighbor cell calculated according to the GIS coordinates, if the matching degree is lower than a certain threshold, it can be found that the site where the LTE cell is located has errors in the operating parameters. The problem of this solution is: ANR is an optional function of the terminal, most terminals on the existing network do not support the ANR function, and the reported ANR neighbors cannot reflect the problems 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 solution 3: The azimuth is judged based on the periodic measurement data such as the signal transmission delay (TA) + the angle of arrival (AOA) reported by the MRO. If the AOA exceeds a certain range, the site where the LTE cell is located can be found. There is an error in the parameter. The problems with this solution are: on the one hand, in the main urban area, there are dense buildings and abundant signal reflection and diffraction environments, so TA+AOA cannot truly reflect the positional relationship between UE and eNodeB. On the other hand, AOA requires beamforming on the network side to perform measurement, but only TM7 and TM8 in LTE networks use beamforming technology. For UEs in other TM modes, there is no AOA measurement, which will cause some UEs to fail. Participate in evaluation and reduce evaluation accuracy.

Existing solution 4: Calculate the base station association degree based on the number of handovers. If the sequence of the handover frequency does not match the GIS association degree, it is judged that the working parameters of the cell are wrong. The problem with this scheme is that the handover frequency depends on the relationship of the configured adjacent cells, and the relationship between adjacent cells has the problem of missing and mismatching, thus reducing the accuracy of judgment.

SUMMARY OF THE INVENTION

In view of this, the embodiments of the present invention hope to provide a method and device for checking the site-wide site parameters based on periodic measurement data, which at least solves the problems existing in the prior art.

The technical solution of the embodiment of the present invention is realized as follows:

A method for checking site-wide parameters based on periodic measurement data, the method comprising:

Collect periodic measurement data of all cells in the entire network and perform data analysis to obtain i neighboring cells that have actual strong correlations around each target cell, where i is a positive integer greater than or equal to 1;

Determine whether the i neighboring cells can theoretically be associated with the target cell according to the engineering parameters provided by the engineering parameter database of the base station. If the proportion of neighboring cells with no strong association exceeds a preset threshold, it is determined that there is an error between the value of the base station working parameter database and the actual working parameter value of the site working parameter of the target cell.

In the embodiment of the present invention, the collection of periodic measurement data of all cells in the entire network and data analysis further includes:

If the number of sampling points of the periodic measurement data is greater than or equal to the first threshold, it is determined that the current data collection of the periodic measurement data of the target cell is complete, and the target cell is determined to be an effective cell.

In the embodiment of the present invention, the obtaining of each target cell surrounding i neighboring cells that are actually strongly associated with it includes:

The target cell is used as a serving cell, and the surrounding cells of the target cell are used as neighboring cells;

If the absolute value of the primary RSRP-neighbor RSRP of the surrounding cells of the serving cell is within 6db of the sampling points of the periodic measurement data, the proportion of the total sampling points of the periodic measurement data this time is greater than or equal to the second threshold, it is considered that the The surrounding cells are the actual strong association adjacent cells of the target cell, so as to obtain i adjacent cells around each target cell that have actual strong associations with it.

In the embodiment of the present invention, the method further includes:

A candidate cell set is formed with i adjacent cells that are actually strongly associated with the target cell;

It is determined that co-site co-directional cells in the candidate cell set are reserved, and only one of the cells is reserved for correlation calculation.

In the embodiment of the present invention, the determining of the co-site co-directional cells in the candidate cell set includes:

If any two cells in the candidate cell set meet the following distance judgment conditions and periodic measurement data data judgment conditions at the same time, then any two cells are co-site and co-directional cells; wherein,

The distance judgment conditions include: the distance between the two cells is less than 50 meters;

The data judgment conditions of the periodic measurement data include: the ratio of the absolute value of the RSRP of the primary serving cell of the two cells in the same frequency band to the RSRP of the adjacent cell is less than 6db>=80%; The ratio of serving cell RSRP to the absolute value of neighboring cell RSRP less than 10db>=80%.

In the embodiment of the present invention, determining whether the i neighboring cells can theoretically be associated with the target cell according to the working parameters provided by the base station working parameter database includes:

According to the relationship between the vertical lobe angle, downtilt angle, station height, and coverage distance of the target cell, the distance is judged. If the relationship between the target cell and a neighboring cell is correct, the neighboring cell marked with the correct distance is obtained;

The azimuth angle is judged on the neighbor cell marked with the correct distance, and if a preset condition is satisfied, it is determined that the neighbor cell is associated with the target cell.

A site-wide site-wide engineering parameter verification device based on periodic measurement data, the device comprising:

The collection and analysis unit is used to collect periodic measurement data of all cells in the entire network and perform data analysis to obtain i adjacent cells that are actually strongly associated with each target cell, where i is a positive integer greater than or equal to 1;

The error checking unit is used to determine whether the i adjacent cells can theoretically be related to the target cell according to the work parameters provided by the base station work parameter database, and if it is determined based on the correlation calculation result that the In theory, the proportion of i neighboring cells that have no strong association exceeds a preset threshold, and it is determined that there is an error between the value of the base station working parameter database and the actual working parameter value of the site working parameter of the target cell.

In the embodiment of the present invention, the collection and analysis unit is further used for:

If the number of sampling points of the periodic measurement data is greater than or equal to the first threshold, it is determined that the current data collection of the periodic measurement data of the target cell is complete, and the target cell is determined to be an effective cell.

In the embodiment of the present invention, the collection and analysis unit is further used for:

The target cell is used as a serving cell, and the surrounding cells of the target cell are used as neighboring cells;

If the absolute value of the primary RSRP-neighbor RSRP of the surrounding cells of the serving cell is within 6db of the sampling points of the periodic measurement data, the proportion of the total sampling points of the periodic measurement data this time is greater than or equal to the second threshold, it is considered that the The surrounding cells are the actual strong association adjacent cells of the target cell, so as to obtain i adjacent cells around each target cell that have actual strong associations with it.

In the embodiment of the present invention, the device further includes: an effective cell screening unit, including:

a candidate cell set determination subunit, configured to form a candidate cell set with i neighboring cells that are actually strongly associated with the target cell;

The co-site and co-directional cell judgment unit is used for judging the co-site co-directional cells in the candidate cell set, and only one of the cells is reserved for correlation calculation.

In the embodiment of the present invention, the co-site co-direction cell judgment unit is further configured to:

If any two cells in the candidate cell set meet the following distance judgment conditions and periodic measurement data data judgment conditions at the same time, then any two cells are co-site and co-directional cells; wherein,

The distance judgment conditions include: the distance between the two cells is less than 50 meters;

The data judgment conditions of the periodic measurement data include: the ratio of the absolute value of the RSRP of the primary serving cell of the two cells in the same frequency band to the RSRP of the adjacent cell is less than 6db>=80%; The ratio of serving cell RSRP to the absolute value of neighboring cell RSRP less than 10db>=80%.

In the embodiment of the present invention, the error checking unit is further used for:

According to the relationship between the vertical lobe angle, downtilt angle, station height, and coverage distance of the target cell, the distance is judged. If the relationship between the target cell and a neighboring cell is correct, the neighboring cell marked with the correct distance is obtained;

The azimuth angle is judged on the neighbor cell marked with the correct distance, and if a preset condition is satisfied, it is determined that the neighbor cell is associated with the target cell.

The method for checking site-wide site parameters based on periodic measurement data according to the embodiment of the present invention includes: collecting periodic measurement data of all cells in the entire network and performing data analysis to obtain i neighbors around each target cell that are actually strongly associated with it. area, i is a positive integer greater than or equal to 1; determine whether the i adjacent areas can theoretically be related to the target cell according to the work parameters provided by the base station work parameter database. In theory, the proportion of adjacent cells corresponding to the i adjacent cells that do not have strong associations exceeds a preset threshold, then determine the value of the site operating parameter of the target cell in the base station operating parameter database and the actual operating parameter value. There is an error between. By adopting the embodiments of the present invention, the above-mentioned problems existing in the prior art can be solved, and the efficiency and accuracy of verification can be improved.

Description of drawings

FIG. 1 is a schematic diagram of a method flow according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of an implementation flow of application scenario 1 applying an embodiment of the present invention;

3 is a schematic diagram of distance judgment in application scenario 2 of an embodiment of the present invention;

4-7 are multiple schematic diagrams of judging a direction angle in application scenario 2 of an embodiment of the present invention.

Detailed ways

The implementation of the technical solution will be further described in detail below with reference to the accompanying drawings.

An embodiment of the present invention provides a method for checking site-wide parameters based on periodic measurement data. As shown in FIG. 1 , the method includes:

Step 101: Collect periodic measurement data of all cells in the entire network and perform data analysis to obtain i adjacent cells around each target cell that are actually strongly associated with it, where i is a positive integer greater than or equal to 1.

Here, the periodic measurement data may include: MRO and MRS files. In the LTE scenario, the data for data analysis may be the collected MRO and MRS files of LTE cells in the entire network.

Step 102, determine whether the i adjacent cells can theoretically be related to the target cell according to the work parameters provided by the base station work parameter database, if the i adjacent cells corresponding to the target cell are judged based on the correlation calculation result. If the proportion of neighboring cells that are theoretically not strongly associated exceeds a preset threshold, it is determined that there is an error between the base station working parameter database value and the actual working parameter value of the site working parameter of the target cell.

In an implementation manner of the embodiment of the present invention, the collecting periodic measurement data of all cells in the entire network and performing data analysis further includes: if the number of sampling points of the periodic measurement data is greater than or equal to a first threshold (for example, 500), Then, it is determined that the data collection of the current periodic measurement data of the target cell is complete, and it is determined that the target cell is an effective cell.

In a first implementation manner of the embodiment of the present invention, the obtaining i neighboring cells around each target cell that have actual strong associations with it includes: taking the target cell as a serving cell, and taking the surrounding cells of the target cell as neighboring cells If the primary reference signal received power (RSRP, Reference Signal Receiving Power) of the surrounding cells of the serving cell - the number of sampling points of the periodic measurement data whose absolute value of the adjacent RSRP is within 6db, accounts for the total amount of this periodic measurement data. If the ratio of the number of sampling points is greater than or equal to the second threshold, the surrounding cells are considered to be the actual strong association neighbors of the target cell, so as to obtain i neighbors around each target cell that have actual strong associations with it.

In an implementation manner of the embodiment of the present invention, the method further includes: forming a candidate cell set with i neighboring cells that are actually strongly associated with the target cell; judging that the co-site co-directional cells in the candidate cell set are One of the cells is reserved for affinity calculation.

In an implementation manner of the embodiment of the present invention, the determining of the co-sited co-directional cells in the candidate cell set includes: if any two cells in the candidate cell set meet the following distance determination conditions and periodic measurement data at the same time If the data judgment conditions are met, any two cells are co-sited and co-directional cells.

Wherein, the distance judgment conditions include: the distance between two cells is less than 50 meters;

The data judgment conditions of the periodic measurement data include: the ratio of the absolute value of the RSRP of the primary serving cell of the two cells in the same frequency band to the RSRP of the adjacent cell is less than 6db>=80%; The ratio of serving cell RSRP to the absolute value of neighboring cell RSRP less than 10db>=80%.

In an implementation manner of the embodiment of the present invention, determining whether the i neighboring cells can theoretically be associated with the target cell according to the working parameters provided by the base station working parameter database includes: according to the vertical lobe of the target cell The distance is judged according to the relationship between the angle, the down-tilt angle, the station height and the coverage distance. If the relationship between the target cell and a neighboring cell is correct, the neighboring cell marked with the correct distance is obtained; The azimuth angle is judged in the cell, and if the preset conditions are met, it is determined that the neighbor cell is associated with the target cell. It needs to be pointed out here that it involves "meeting the preset conditions, then it is determined that the neighbor cell is associated with the target cell", such as the specific descriptions of the three different situations in the second application scenario of this embodiment, which will not be repeated here. .

The embodiment of the present invention further provides a site-wide site-wide engineering parameter verification device based on periodic measurement data, the device includes: a collection and analysis unit configured to collect periodic measurement data of all cells in the entire network and perform data analysis, Obtaining i neighboring cells with actual strong associations around each target cell, where i is a positive integer greater than or equal to 1; and an error checking unit for determining whether the i neighboring cells are based on the engineering parameters provided by the base station engineering parameter library Theoretically, it can be correlated with the target cell. If it is determined based on the correlation calculation result that the i adjacent cells corresponding to the target cell have no strong correlation in theory, the proportion of adjacent cells exceeds the preset threshold, then determine There is an error between the value of the base station working parameter database and the actual working parameter value of the site working parameter of the target cell.

In an implementation manner of the embodiment of the present invention, the collection and analysis unit is further configured to: if the number of sampling points of the periodic measurement data is greater than or equal to a first threshold, determine the current periodic measurement of the target cell The data collection is complete, and it is determined that the target cell is an effective cell.

In an implementation manner of the embodiment of the present invention, the collection and analysis unit is further configured to: take the target cell as a serving cell, and take the surrounding cells of the target cell as neighboring cells; if the surrounding cells of the serving cell are The number of sampling points of the periodic measurement data whose absolute value of the primary RSRP-neighboring RSRP is within 6db, and the proportion of the total number of sampling points of this periodic measurement data is greater than or equal to the second threshold, then the surrounding cell is considered to be the target cell. to obtain the i neighbors with actual strong associations around each target cell.

In an embodiment of the embodiment of the present invention, the apparatus further includes: an effective cell screening unit, including: a candidate cell set determination subunit, configured to form a candidate cell set with i neighboring cells that are actually strongly associated with the target cell ; and a co-site co-directional cell judgment unit for judging the co-site co-directional cells in the candidate cell set, and only one of the cells is reserved for correlation calculation.

In an implementation manner of the embodiment of the present invention, the co-site co-direction cell judgment unit is further configured to: if any two cells in the candidate cell set meet the following distance judgment conditions and periodic measurement data data judgment conditions at the same time , then any two cells are co-site and co-directional cells.

Wherein, the distance judgment conditions include: the distance between two cells is less than 50 meters;

The data judgment conditions of the periodic measurement data include: the ratio of the absolute value of the RSRP of the primary serving cell of the two cells in the same frequency band to the RSRP of the adjacent cell is less than 6db>=80%; The ratio of serving cell RSRP to the absolute value of neighboring cell RSRP less than 10db>=80%.

In one implementation of the embodiment of the present invention, the error checking unit is further configured to: judge the distance according to the relationship among the vertical lobe angle, downtilt angle, station height, and coverage distance of the target cell. If the association relationship of the cells is correct distance, the neighbor cell marked with correct distance is obtained; the azimuth angle judgment is performed on the neighbor cell marked with correct distance, and if preset conditions are met, it is determined that the neighbor cell is related to the target cell.

Taking a real application scenario as an example, the embodiments of the present invention are described as follows:

In an application scenario of applying the embodiments of the present invention, it is specifically a site work parameter verification scheme for calculating a base station association degree based on periodic measurement data. Here, the periodic measurement data includes MRO and MRS files. The site engineering parameter verification scheme for this application scenario includes: by analyzing the MRO data of LTE cells in the whole network, determine the neighboring cells that have a real strong correlation with each cell, and deduce these parameters according to the engineering parameters provided by the base station engineering parameter database. Whether the neighbors with real strong associations can be associated in theory. If the proportion of neighbors with strong associations but not theoretically strong associations in a cell exceeds the preset threshold, it can be judged that there is an error between the values of the engineering parameters of the site in the engineering parameter database and the actual engineering parameters. Efficiently complete the site work parameter verification of the entire network LTE site.

This application scenario adopts the embodiments of the present invention to solve the following problems:

1. Periodic measurement data. For example, if MRO is opened on a regular basis for the entire network every month, the embodiment of the present invention can realize the periodic verification of the engineering parameters of the entire network, and can make the accuracy verification of the engineering parameters of the entire network normalized.

2. The reporting of MRO is an essential function of the terminal, without the support of special functions of the terminal, and has nothing to do with the transmission mode of the base station. The reporting data of the terminals in the whole network can be used to improve the positioning accuracy.

3. Using the embodiment of the present invention, the correlation degree is calculated only based on the RSRP of the MRO, and is applicable to all transmission modes and all coverage scenarios.

4. Calculate according to the RSRP actually reported by the terminal, regardless of the configuration of the neighbor relationship.

5. It does not make any a priori assumptions about the accuracy of the engineering parameters and does not rely on the parameter configuration of the existing network to improve the accuracy of the inspection of the engineering parameters.

Application Scenario 1:

The process of judging whether there is an error between the value in the industrial parameter library of a single cell and the actual industrial parameter, as shown in Figure 2, includes:

Step 201: Determine whether the current cell is a valid cell. If the number of MRO sampling points in this cell is less than 500, it can be approximated that there is a problem with the current MRO data integrity of the current cell, and it is not included in this calculation. If the number of MRO sampling points >= 500, it can be considered that the current MRO data collection of the cell is complete, and the accuracy of the working parameters of the cell can be judged based on the current MRO data.

Step 202: Determine the actual strongly associated neighbors of the target cell by using the MRO data. Take the target cell as the serving cell, and the surrounding cells as the neighbor cells. If the absolute value of the primary RSRP-neighbor RSRP of a surrounding cell is within 6db of the MRO sampling points of the total MRO sampling points ratio >= 10%, then the surrounding cell is considered to be the actual strong association adjacent cell of the target cell, and the steps are executed. 203, otherwise, the surrounding cell is not an actual strong-associated adjacent cell of the target cell, and does not contribute to this rationality judgment.

Step 203 : The candidate cell set is formed by the actual strong association neighbors of the target cell. If it is an empty set, that is, there is no actual strong association neighbors around the target cell, the association analysis of the target cell is ended.

Step 204: For the co-site and co-directional cells in the candidate cells, only one of the cells is reserved for subsequent calculation, so that the weight of each engineering parameter vector (longitude, latitude, station height, and downtilt angle) of the candidate cell set is 1.

Here, the method for judging the co-site and co-directional coverage cells includes: if two cells satisfy the following two conditions, the two cells are judged as co-site co-directional coverage cells.

Condition 1: distance judgment: the distance between the two cells is less than 50 meters

Condition 2: MRO data judgment: In the MRO data, if the absolute value of the RSRP of the primary serving cell and the RSRP of the adjacent cell is less than 6db of the two cells in the same frequency band >=80%, the two cells in different frequency bands The proportion of the RSRP of the primary serving cell - the absolute value of the RSRP of the neighboring cell is less than 10db>=80%.

Step 205: In order to speed up the calculation, the candidate cell set can be sorted according to the proportion of sampling points from high to low, and then the first N (N>=6) cells are taken to participate in the subsequent calculation. If the number of cells in the result of step 4 < N, all cells are used to participate in the subsequent calculation.

Step 206: Deduce whether the result cell of step 4 has theoretical correlation according to the industrial parameters of the industrial reference database. If the actual correlation is not the theoretical correlation, the target cell is marked as an error to the neighboring cell.

Step 207, whether the error rate reaches the threshold, if not, the target cell's working parameters are accurate; otherwise, if the threshold is exceeded, then the site's working parameters of the target cell are between the value of the base station's working parameter database and the actual working parameter value. There is an error.

Here, the details are: Calculate the cell error rate=(Number of cells with wrong distance + Number of cells with wrong angle)/(Number of cells with wrong distance + Number of cells with wrong angle + Number of cells with correct angle), if the cell error rate exceeds the preset threshold, then It can be judged that there is an error in the industrial parameters in the industrial parameter library of the cell.

Application Scenario 2: Realize whether there is a theoretical correlation calculation process in the cell according to the result of the derivation step 204 of the industrial parameters of the industrial parameter database, including the following content:

First, the distance judgment:

可根据工参库中目标小区的站高、下倾角、方位角得到S，且根据工参库中的经纬度得到目标小区和周边各个强邻区的距离d_i,i＝1,2...N，若某个d_i>S，则标记目标小区到该小区的关联关系为距离错误，反之则标记为距离正确，并把标记为距离正确的小区进入到方位角判断。Figure 3 is a schematic diagram of the theoretical relationship between the vertical lobe angle, downtilt angle, site height, and coverage distance of the cell, where S, H, α, and β are the upper sidelobe coverage distance, site height, and downtilt angle of the target cell, respectively. , the vertical lobe angle, if H, α, β are known, we can get

S can be obtained according to the station height, downtilt angle and azimuth angle of the target cell in the engineering reference database, and the distance d _i between the target cell and each surrounding strong neighbors can be obtained according to the longitude and latitude in the engineering reference database, i=1,2... N, if a certain d _i > S, the relationship between the target cell and the cell is marked as the distance error, otherwise, the distance is marked as correct, and the cell marked as the correct distance is entered into the azimuth judgment.

Second, the azimuth judgment:

The angular accuracy is judged on the cell marked with accurate distance. If it is judged as not related, the relationship between the target cell and the cell is marked as the angle error, otherwise the angle is marked as correct. The specific algorithm of angle judgment is described as follows.

The top view of the horizontal coverage of the directional antenna can be divided into 4 areas, as shown in Figure 4, where area 1 is the main lobe coverage of the base station, areas 2 and 4 are the side coverage of the base station, and area 3 is the back of the base station. to coverage.

Let the direction angle of the target cell be α, α∈[0,360), and the horizontal lobe bandwidth of the antenna be β, β∈[30,120]. Direction angles α _n , β _n , α _n ∈ [0,360) and β _n ∈ [30,120] of the surrounding cells with strong correlation. The following describes the calculation of the theoretical correlation between two cells in three cases according to the value of α.

1) Case 1:

As shown in Figure 5, the angles of coverage of the four regions can be described as

a1, if the neighbor cell is located in area 1 of the target cell, the neighbor cell is associated with the target cell.

且

则认为该邻区与目标小区不存在关联，反之则认为关联。a2, when the neighboring cell is located in area 2 of the target cell, if the azimuth of the neighboring cell satisfies the conditions:

and

Then it is considered that the adjacent cell is not associated with the target cell, otherwise, it is considered to be associated.

或者

则认为该邻区与目标小区不存在关联，反之则认为关联。a3, when the neighboring cell is located in area 3 of the target cell, if the azimuth of the neighboring cell satisfies the conditions:

or

Then it is considered that the adjacent cell is not associated with the target cell, otherwise, it is considered to be associated.

且

则认为该邻区与目标小区不存在关联，反之则认为关联。a4, when the neighboring cell is located in area 4 of the target cell, if the azimuth of the neighboring cell satisfies the conditions:

and

Then it is considered that the adjacent cell is not associated with the target cell, otherwise, it is considered to be associated.

2) The second case

As shown in Figure 6, the angles of coverage of the four regions can be described as

b1, if the neighbor cell is located in area 1 of the target cell, the neighbor cell is associated with the target cell.

且

则认为该邻区与目标小区不存在关联，反之则认为关联。b2, when the neighboring cell is located in area 2 of the target cell, if the azimuth of the neighboring cell satisfies the conditions:

and

Then it is considered that the adjacent cell is not associated with the target cell, otherwise, it is considered to be associated.

或者

则认为该邻区与目标小区不存在关联，反之则认为关联。b3, when the neighboring cell is located in area 3 of the target cell, if the azimuth of the neighboring cell satisfies the conditions:

or

Then it is considered that the adjacent cell is not associated with the target cell, otherwise, it is considered to be associated.

且

则认为该邻区与目标小区不存在关联，反之则认为关联。b4, when the neighboring cell is located in area 4 of the target cell, if the azimuth of the neighboring cell satisfies the conditions:

and

Then it is considered that the adjacent cell is not associated with the target cell, otherwise, it is considered to be associated.

3) The third case:

As shown in Figure 7, the angles of coverage of the four regions can be described as

c1, if the neighbor cell is located in area 1 of the target cell, the neighbor cell is associated with the target cell.

且

则认为该邻区与目标小区不存在关联，反之则认为关联。c2, when the neighbor cell is located in area 2 of the target cell, if the azimuth angle of the neighbor cell satisfies the conditions:

and

Then it is considered that the adjacent cell is not associated with the target cell, otherwise, it is considered to be associated.

或者

则认为该邻区与目标小区不存在关联，反之则认为关联。c3, when the neighboring cell is located in area 3 of the target cell, if the azimuth of the neighboring cell satisfies the conditions:

or

Then it is considered that the adjacent cell is not associated with the target cell, otherwise, it is considered to be associated.

且

则认为该邻区与目标小区不存在关联，反之则认为关联。c4, when the neighboring cell is located in area 4 of the target cell, if the azimuth of the neighboring cell satisfies the conditions:

and

Then it is considered that the adjacent cell is not associated with the target cell, otherwise, it is considered to be associated.

If the integrated modules described in the embodiments of the present invention are implemented in the form of software function modules and sold or used as independent products, they may also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present invention may be embodied in the form of software products in essence or the parts that make contributions to the prior art. The computer software products are stored in a storage medium and include several instructions for A computer device (which may be a personal computer, a server, or a network device, etc.) is caused to execute all or part of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: U disk, removable hard disk, Read-Only Memory (ROM, Read-Only Memory), Random Access Memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes . As such, embodiments of the present invention are not limited to any particular combination of hardware and software.

Correspondingly, an embodiment of the present invention further provides a computer storage medium, in which a computer program is stored, and the computer program is used to execute the method for checking the site-wide site parameters based on periodic measurement data according to the embodiment of the present invention.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the protection 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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