CN110784888B

CN110784888B - Multi-layer network identification method and device

Info

Publication number: CN110784888B
Application number: CN201810856698.5A
Authority: CN
Inventors: 李娜; 张涛; 徐鹏; 单俊明; 柳兆裕; 郭莉; 杨丽; 张新超; 刘洪波
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Group Shandong Co Ltd
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Group Shandong Co Ltd
Priority date: 2018-07-31
Filing date: 2018-07-31
Publication date: 2023-04-25
Anticipated expiration: 2038-07-31
Also published as: CN110784888A

Abstract

The embodiment of the invention discloses a method and a device for identifying a multilayer network. Wherein the method comprises the following steps: acquiring a measurement report of a serving cell in a first preset time period, and acquiring first data to be processed from the measurement report; if the first data to be processed is judged to meet the first data screening rule, the first data to be processed is used as first effective data; the first data screening rule is preset; if the ratio of the number of the data sampling points belonging to the same neighbor cell in the first effective data meeting the first preset condition to the total number of the data sampling points in the first effective data is judged to be greater than a first threshold value, determining that the service cell is a multi-layer network cell; the first preset condition is: the received power of the reference signal of the data sampling point belonging to the same adjacent cell in the same adjacent cell is larger than a first preset value. The device is used for executing the method. The multi-layer network identification method and device provided by the embodiment of the invention improve the accuracy of multi-layer network identification.

Description

Multi-layer network identification method and device

Technical Field

The embodiment of the invention relates to the technical field of mobile communication, in particular to a method and a device for identifying a multilayer network.

Background

The area covered by the multi-layer network has a service cell and at least one adjacent cell, and has important significance for multi-layer network identification of the target area.

At present, the identification of the multi-layer network in the same area is mainly obtained through road test data analysis, a vehicle-mounted communication test device is used for dotting test on a trunk road, manual analysis is carried out on test data after the test is completed, and the obtained dotting test data is analyzed section by section to obtain an analysis result of whether the test area is the multi-layer network coverage area. Because the road test data analysis is only applicable to the trunk road and the area where the vehicle can enter, the road test data cannot be obtained for the area where the vehicle cannot enter. In addition, the number of data sampling points of the drive test data is limited, so that accuracy is poor when judging the network coverage layer number of one area.

Therefore, how to provide a multi-layer network identification method capable of automatically identifying a multi-layer network to improve the accuracy of multi-layer network identification is an important issue to be solved in the industry.

Disclosure of Invention

Aiming at the defects in the prior art, the embodiment of the invention provides a multi-layer network identification method and device.

In a first aspect, an embodiment of the present invention provides a method for identifying a multi-layer network, including:

acquiring a measurement report of a serving cell in a first preset time period, and acquiring first data to be processed from the measurement report;

if the first data to be processed is judged to meet a first data screening rule, the first data to be processed is used as first effective data; wherein the first data screening rule is preset;

if the ratio of the number of the data sampling points belonging to the same neighbor cell, which meets the first preset condition, in the first effective data to the total number of the data sampling points in the first effective data is judged to be greater than a first threshold value, determining that the service cell is a multi-layer network cell; wherein, the first preset condition is: the received power of the reference signal of the data sampling point belonging to the same adjacent cell in the same adjacent cell is larger than a first preset value.

In a second aspect, an embodiment of the present invention further provides a method for identifying a multi-layer network, including:

acquiring a measurement report of a service cell within a second preset time period, and acquiring second data to be processed from the measurement report;

if the second data to be processed is judged to meet a second data screening rule, the second data to be processed is used as second effective data; wherein the second data screening rule is preset;

Obtaining effective data sampling points of all adjacent cells in the second effective data according to a second preset condition;

obtaining a total area corresponding to the neighbor cell according to the farthest distance from each effective data sampling point of the neighbor cell to the base station of the serving cell, the number of different signal arrival angles corresponding to each effective data sampling point under the serving cell and a first preset formula;

taking the effective data sampling points with equal distances from the effective data sampling points of the adjacent cells to the service cell base station and equal corresponding signal arrival angles under the service cells as a group of the effective data sampling points, and corresponding each group of the effective data sampling points to one ring sector according to the distances from each group of the effective data sampling points to the service cell base station and the corresponding signal arrival angles under the service cells; wherein the ring sector is preset;

obtaining the corresponding area of each group of effective data sampling points according to the weight factor of each group of effective data sampling points of the adjacent cell and the corresponding area of the circular sector; wherein the weight factor is obtained according to a second preset formula;

Obtaining the effective area corresponding to the neighbor cell according to the area corresponding to each group of effective data sampling points of the neighbor cell;

and if the ratio of the effective area corresponding to the neighbor cell to the total area corresponding to the neighbor cell is larger than a third threshold value, determining that the service cell is a multi-layer network cell.

In a third aspect, an embodiment of the present invention provides an identification apparatus for a multi-layer network, including:

the first acquisition unit is used for acquiring a measurement report of a serving cell in a first preset time period and acquiring first data to be processed from the measurement report;

the first judging unit is used for taking the first data to be processed as first effective data after judging that the first data to be processed meets a first data screening rule; wherein the first data screening rule is preset;

the second judging unit is used for determining that the service cell is a multi-layer network cell after judging that the ratio of the number of data sampling points belonging to the same neighbor cell meeting a first preset condition in the first effective data to the total number of data sampling points in the first effective data is larger than a first threshold value; wherein, the first preset condition is: the received power of the reference signal of the data sampling point belonging to the same adjacent cell in the same adjacent cell is larger than a first preset value.

In a fourth aspect, an embodiment of the present invention further provides an identification device for a multi-layer network, including:

the second acquisition unit is used for acquiring a measurement report of the service cell within a second preset time period and acquiring second data to be processed from the measurement report;

the third judging unit is used for taking the second data to be processed as second effective data after judging that the second data to be processed meets a second data screening rule; wherein the second data screening rule is preset;

the first obtaining unit is used for obtaining the effective data sampling points of each adjacent cell in the second effective data according to a second preset condition;

the second obtaining unit is used for obtaining the total area corresponding to the neighbor cell according to the farthest distance from each effective data sampling point of the neighbor cell to the serving cell base station, the number of different signal arrival angles corresponding to each effective data sampling point under the serving cell and a first preset formula;

the grouping unit is used for taking the effective data sampling points with equal distances from the effective data sampling points of the adjacent cells to the service cell base station and equal corresponding signal arrival angles under the service cell as a group of the effective data sampling points, and corresponding each group of the effective data sampling points to one ring sector according to the distances from each group of the effective data sampling points to the service cell base station and the corresponding signal arrival angles under the service cell; wherein the ring sector is preset;

The third obtaining unit is used for obtaining the corresponding area of each group of effective data sampling points according to the weight factor of each group of effective data sampling points of the adjacent cell and the corresponding area of the circular sector; wherein the weight factor is obtained according to a second preset formula;

a fourth obtaining unit, configured to obtain an effective area corresponding to the neighboring cell according to the areas corresponding to the effective data sampling points of each group of the neighboring cell;

and the fourth judging unit is used for determining that the service cell is a multi-layer network cell after judging that the ratio of the effective area corresponding to the adjacent cell to the total area corresponding to the adjacent cell is larger than a third threshold value.

In a fifth aspect, an embodiment of the present invention provides an electronic device, including: a first processor, a first memory, and a first communication bus, wherein:

the first processor and the first memory complete communication with each other through the first communication bus;

the first memory stores program instructions executable by the first processor, the first processor invoking the program instructions capable of performing a method of identifying a multi-layer network comprising:

In a sixth aspect, embodiments of the present invention provide a non-transitory computer-readable storage medium storing first computer instructions that cause the computer to perform an identification method capable of performing a multi-layer network comprising:

In a seventh aspect, an embodiment of the present invention provides an electronic device, including: a second processor, a second memory, and a second communication bus, wherein:

the second processor and the second memory complete communication with each other through the second communication bus;

the second memory stores program instructions executable by the second processor, the second processor invoking the program instructions capable of performing the method of identifying a multi-layer network comprising:

In an eighth aspect, an embodiment of the present invention provides a non-transitory computer readable storage medium, wherein the non-transitory computer readable storage medium stores second computer instructions that enable the computer to perform a method for identifying a multi-layer network, including:

According to the multi-layer network identification method and device, the measurement report of the service cell in the preset time period can be obtained, the first data to be processed is obtained from the measurement report, after the first data to be processed is judged to meet the first data screening rule, the first data to be processed is taken as the first effective data, then after the ratio of the number of the data sampling points belonging to the same adjacent cell and meeting the first preset condition in the first effective data to the total number of the data sampling points in the first effective data is judged to be greater than the first threshold, the service cell is determined to be the multi-layer network cell, the multi-layer network identification according to the measurement report is realized, and the multi-layer network identification accuracy is improved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a flow chart illustrating a method for identifying a multi-layer network according to an embodiment of the present invention;

FIG. 2 is a flow chart of a method for identifying a multi-layer network according to another embodiment of the present invention;

fig. 3 is a schematic diagram of coverage areas of a serving cell according to an embodiment of the present invention;

FIG. 4 is a schematic diagram illustrating a multi-layer network identification device according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of a multi-layer network identification device according to another embodiment of the present invention;

FIG. 6 is a schematic diagram of a physical structure of an electronic device according to an embodiment of the invention;

fig. 7 is a schematic physical structure of an electronic device according to another embodiment of the invention.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions in the embodiments of the present invention will be clearly described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Fig. 1 is a flow chart of a method for identifying a multi-layer network according to an embodiment of the present invention, as shown in fig. 1, where the method for identifying a multi-layer network according to an embodiment of the present invention includes:

s101, acquiring a measurement report of a serving cell in a first preset time period, and acquiring first data to be processed from the measurement report;

specifically, the identifying device of the multi-layer network (hereinafter referred to as identifying device) may obtain a measurement report (Measurement Report, referred to as MR) of the serving cell in a first preset period from a network management system of LTE (Long Term Evolution, referred to as LTE), where the MR is formed by measuring and reporting relevant network indexes of the serving cell and the neighboring cell according to a measurement configuration issued by each user equipment on a network side, and the user equipment may report relevant network indexes such as a cell identifier of the serving cell, a cell identifier of the neighboring cell, a reference signal received power (Reference Signal Receiving Power, referred to as RSRP) of the serving cell, and an RSRP of the neighboring cell. The identifying means may extract, from the MR, the cell identity of the serving cell, the cell identity of the neighboring cell, and the RSRP of the neighboring cell for each data sampling point as first data to be processed. The first preset time period is set according to actual needs, and the embodiment of the invention is not limited. Because MR is adopted to identify the multi-layer network, drive test is not needed, the identification cost of the multi-layer network is saved, and the identification efficiency of the multi-layer network is improved.

S102, if the first data to be processed is judged to meet a first data screening rule, the first data to be processed is used as first effective data; wherein the first data screening rule is preset;

specifically, in order to ensure the validity of the first data to be processed, the identifying device determines whether the first data to be processed satisfies a first data screening rule after obtaining the first data to be processed, and if the first data to be processed satisfies the first data screening rule, the first data to be processed is used as first valid data. Wherein the first data screening rule is preset. It is understood that the first valid data includes a cell identifier of the serving cell, a cell identifier of the neighboring cell, and an RSRP of the neighboring cell of each of the data sampling points.

S103, if judging that the ratio of the number of data sampling points belonging to the same neighbor cell meeting a first preset condition in the first effective data to the total number of data sampling points in the first effective data is larger than a first threshold value, determining that the service cell is a multi-layer network cell; wherein, the first preset condition is: the received power of the reference signal of the data sampling point belonging to the same adjacent cell under the same adjacent cell is larger than a first preset value.

Specifically, after the identifying means obtains the first valid data, calculating a ratio a of the number of data sampling points belonging to the same neighboring cell in the first valid data and satisfying a first preset condition to the total number of data sampling points in the first valid data, comparing the ratio a with a first threshold, and if the ratio a is greater than the first threshold, the serving cell is a multi-layer network cell, and the first threshold is, for example, 40%. The data sampling points belonging to the same neighbor cell refer to the data sampling points having the cell identification of the same neighbor cell in the first effective data. The first preset condition is as follows: the reference signal receiving power of the data sampling points belonging to the same neighbor cell in the same neighbor cell is larger than a first preset value, the identification device can obtain the RSRP of the data sampling points belonging to the same neighbor cell in the same neighbor cell, the RSRP of the data sampling points belonging to the same neighbor cell in the same neighbor cell is respectively compared with the first preset value, and if the RSRP of the data sampling points belonging to the same neighbor cell in the same neighbor cell is larger than the first preset value, the data sampling points meet the first preset condition, and the first preset value is, for example, -110dBm. The first threshold and the first preset value are set according to practical experience, and the embodiment of the invention is not limited.

According to the multi-layer network identification method provided by the embodiment of the invention, the measurement report of the service cell in the preset time period can be obtained, the first data to be processed is obtained from the measurement report, the first data to be processed is taken as the first effective data after judging that the first data to be processed meets the first data screening rule, and then the multi-layer network identification accuracy is improved after judging that the ratio of the number of the data sampling points belonging to the same adjacent cell and meeting the first preset condition in the first effective data to the total number of the data sampling points in the first effective data is larger than the first threshold value.

On the basis of the foregoing embodiments, further, the first data filtering rule includes:

the ratio of the number of data sampling points belonging to the same neighbor cell and the total number of data sampling points included in the first data to be processed is greater than a second threshold or the number of data sampling points belonging to the same neighbor cell is greater than a second preset value, and the total number of data sampling points is greater than a third preset value.

Specifically, the identifying means may obtain the total number of data sampling points included in the first to-be-processed data, may obtain the number of data sampling points included in the first to-be-processed data and belonging to the same neighboring cell, divide the number of data sampling points included in the first to-be-processed data and belonging to the same neighboring cell by the total number of data sampling points included in the first to-be-processed data, obtain a ratio b of the number of data sampling points included in the first to-be-processed data and belonging to the same neighboring cell to the total number of data sampling points included in the first to-be-processed data, compare the ratio b with a second threshold, and if the ratio b is greater than the second threshold and the total number of data sampling points included in the first to-be-processed data is greater than a third preset value, the first to-be-processed data is regarded as the first effective data, the second threshold is, for example, 10%, and the third preset value is 200, for example. Or, the number of data sampling points included in the first data to be processed and belonging to the same neighboring cell is greater than a second preset value, and the total number of data sampling points included in the first data to be processed is greater than a third preset value, then the first data to be processed is used as the first effective data, and the second preset value is, for example, 200. The second threshold, the second preset value and the third preset value are set according to practical experience, and the embodiment of the invention is not limited.

On the basis of the above embodiments, the method for identifying a multi-layer network according to the embodiment of the present invention further includes:

outputting all neighbor cells making the service cell the multi-layer network cell.

Specifically, after determining that the serving cell is the multi-layer network cell, the identifying device may obtain each neighboring cell that makes the serving cell be the multi-layer network cell, and output all neighboring cells that make the serving cell be the multi-layer network cell, where the output neighboring cells may be represented by cell identifiers of the neighboring cells. If there are 5 different said neighbor cells making the serving cell the multi-layer network cell, then the serving cell belongs to layer 6 network active coverage.

Fig. 2 is a flow chart of a method for identifying a multi-layer network according to another embodiment of the present invention, as shown in fig. 2, where the method for identifying a multi-layer network according to the embodiment of the present invention includes:

s201, acquiring a measurement report of a service cell within a second preset time period, and acquiring second data to be processed from the measurement report;

specifically, the identifying device of the multi-layer network may obtain, from a network management system of LTE, MR of a serving cell in a second preset period of time, where MR includes a cell identifier of the serving cell, a cell identifier of the neighboring cell, RSRP of the serving cell, RSRP of the neighboring cell, and data such as a distance between each data sampling point and a base station of the serving cell, and a corresponding signal Arrival Angle (Angle of Arrival (AOA) of each data sampling point under the serving cell. The identifying means may extract, from the MR, a cell identifier of the serving cell of each data sampling point, a cell identifier of the neighboring cell, and an RSRP of the neighboring cell, and a distance between each data sampling point and the serving cell base station, and an AOA corresponding to each data sampling point under the serving cell, as the second data to be processed. The second preset time period is set according to actual needs, and the embodiment of the invention is not limited.

S202, if the second data to be processed is judged to meet a second data screening rule, the second data to be processed is used as second effective data; wherein the second data screening rule is preset;

specifically, in order to ensure the validity of the second data to be processed, the identification device determines whether the second data to be processed meets a second data screening rule after obtaining the second data to be processed, and if the second data to be processed meets the second data screening rule, the second data to be processed is used as second valid data. Wherein the second data screening rule is preset. It is understood that the second valid data includes a cell identifier of the serving cell, a cell identifier of the neighboring cell, and an RSRP of the neighboring cell of each data sampling point, a distance between each data sampling point and the serving cell base station, and an AOA corresponding to each data sampling point under the serving cell.

S203, obtaining effective data sampling points of all neighbor cells in the second effective data according to a second preset condition;

specifically, after the second effective data is obtained, the identification device screens the data sampling points of each neighboring cell included in the second effective data according to the second preset condition to obtain the effective data sampling points of each neighboring cell. The effective data sampling points of the adjacent cells refer to effective data sampling points with cell identifications of the same adjacent cells.

S204, obtaining the total area corresponding to the neighbor cell according to the farthest distance from each effective data sampling point of the neighbor cell to the serving cell base station, the number of different signal arrival angles corresponding to each effective data sampling point under the serving cell and a first preset formula;

specifically, the identifying device may obtain distances from the effective data sampling points of the neighboring cells to the serving cell base station, and compare distances from the effective data sampling points of the neighboring cells to the serving cell base station, so as to obtain the farthest distances from the distances. The identification device can also obtain the AOA corresponding to each effective data sampling point of the adjacent cell under the service cell, and count and obtain the number of different AOAs in each AOA. The identifying device may obtain the total area corresponding to the neighboring cell according to the furthest distance, the number of different AOAs, and the first preset formula.

For example, the first preset formula is:

wherein S is _{Total (S)} For the total area corresponding to the neighbor cell, n is the number of different AOAs of each effective data sampling point of the neighbor cell under the service cell, R _max K is a constant for the farthest distance among the distances from each effective data sampling point of the neighbor cell to the serving cell base station.

S205, taking the effective data sampling points with equal distances from the effective data sampling points of the adjacent cells to the base station of the service cell and equal corresponding signal arrival angles under the service cell as a group of the effective data sampling points, and corresponding each group of the effective data sampling points to a ring sector according to the distances from the effective data sampling points to the base station of the service cell and the corresponding signal arrival angles under the service cell; wherein the ring sector is preset;

specifically, the identifying device groups the valid data sampling points of the neighbor cells, wherein the valid data sampling points with equal distances to the base station of the serving cell and equal AOAs corresponding to the serving cell are taken as a group, then the valid data sampling points in each group have equal distances to the base station of the serving cell and equal AOAs corresponding to the serving cell, the valid data sampling points in each group have equal distances to the base station of the serving cell, the valid data sampling points in each group have distances to the base station of the serving cell, and the valid data sampling points in each group have AOAs corresponding to the valid data sampling points in each group under the serving cell.

The identification device corresponds each group of effective data sampling points to a circular ring sector, and the circular ring sector is preset. The coverage area of the service cell is a sector area, the coverage area of the service cell is equally divided into a plurality of small sector areas with equal central angles by the minimum AOA corresponding to the service cell, then two radiuses of each small sector area are equally divided by a preset distance, finally equal dividing points on the two radiuses of each small sector area are connected by an arc by taking the top point of the central angle corresponding to each small sector area as the center of a circle, so that each small sector area is divided into a plurality of ring sectors, each ring sector comprises an inner radius, an outer radius and a central angle, the inner radius is the radius of the small arc of the ring sector, the outer radius is the radius of the large arc of the ring sector, and the central angle of the arc sector is equal to the central angle of the corresponding sector area. The identification device compares the distances from each group of effective data sampling points to the base station of the service cell with the inner radius and the outer radius of each circular ring sector respectively, meanwhile, compares the AOA corresponding to each group of effective data sampling points under the service cell with the central angle of each circular ring sector respectively, and if the distance from a certain group of effective data sampling points to the base station of the service cell is larger than or equal to the inner radius of the circular ring sector and smaller than the outer radius of the circular ring sector, and the AOA corresponding to a certain group of effective data sampling points under the service cell is equal to the central angle of the circular ring sector, the group of effective data sampling points corresponds to the circular ring sector. The preset distance is set according to actual conditions, and the embodiment of the invention is not limited.

For example, fig. 3 is a schematic diagram of coverage areas of a serving cell according to an embodiment of the present invention, as shown in fig. 3, the coverage area of the serving cell a is a sector area with a central angle of 120 degrees and a coverage radius of X, so as to correspond to the minimum AOA of the serving cell a: the method comprises the steps of equally dividing a sector area into 24 small sector areas with central angles of 5 degrees by 5 degrees, equally dividing two radiuses of each small sector area by a preset distance 78m, and finally equally dividing points on the two radiuses of each small sector area by connecting circular arcs by taking the top point of the central angle corresponding to each small sector area as the center of a circle. It is understood that the 24 ring sectors closest to the vertex of the central angle of serving cell a may be regarded as special ring sectors having an inner radius of 0.

S206, obtaining the corresponding area of each group of effective data sampling points according to the weight factors of each group of effective data sampling points of the adjacent cells and the corresponding area of the circular sector; wherein the weight factor is obtained according to a second preset formula;

specifically, after each group of valid data sampling points corresponds to the circular ring sector, the identification device may calculate to obtain the area of the circular ring sector corresponding to each group of valid data sampling points according to the central angle, the inner radius and the outer radius of the circular ring sector corresponding to each group of valid data sampling points, and then obtain the area corresponding to each group of valid data sampling points according to the weight factor of each group of valid data sampling points and the area of the circular ring sector corresponding to each group of valid data sampling points. Wherein the weight factor is obtained according to a second preset formula.

For example, the identification means is according to the formula

Calculating to obtain the area P of the circular ring sector corresponding to the effective data sampling point of the ith group of the neighbor cell _i ，R _i1 For the outer radius of the ring sector corresponding to the ith group of effective data sampling points of the neighbor cell, R _i2 For the inner radius of the circular sector corresponding to the effective data sampling point of the ith group of the neighbor cell, k is a constant, and k can be 72 or 720%>

Can be regarded as the central angle of the circular sector; said identification means are according to a second preset formula +.>

Calculating to obtain the weight factor J of the effective data sampling point of the ith group of the neighbor cell _i ，N _i For the number, N, of the effective data sampling points included in the ith group of the neighbor cells _{Total (S)} For the second significant numberThe total number of data sampling points included, L _i L is the distance from the effective data sampling point of the ith group of the neighbor cell to the base station of the service cell _max And the effective data sampling point is the farthest distance from each effective data sampling point of the adjacent cell to the base station of the service cell. The identification device is according to formula S _i ＝J _i P _i Calculating to obtain the area S corresponding to the effective data sampling point of the ith group of the neighbor cell _i Wherein i is a positive integer.

S207, obtaining the effective area corresponding to the neighbor cell according to the area corresponding to each group of effective data sampling points of the neighbor cell;

specifically, the identifying device obtains the effective area corresponding to the neighbor cell according to the area corresponding to each group of effective data sampling points after obtaining the area corresponding to each group of effective data sampling points of the neighbor cell.

For example, the identifying means obtains the effective area corresponding to the neighboring cell after summing the areas corresponding to the effective data sampling points of each group of the neighboring cell.

And S208, if the ratio of the effective area corresponding to the neighbor cell to the total area corresponding to the neighbor cell is larger than a third threshold, determining that the service cell is a multi-layer network cell.

Specifically, the identifying device divides the effective area corresponding to the adjacent cell by the total area corresponding to the adjacent cell, and obtains the ratio d of the effective area corresponding to the adjacent cell to the total area corresponding to the adjacent cell. The identifying means compares the ratio d with a third threshold value, which is for example 30%, if the ratio d is larger than the third threshold value, the served cell is a multi-layer network cell. The third threshold is set according to practical experience, and the embodiment of the invention is not limited. It will be appreciated that each of the neighbor cells covering the serving cell and its corresponding coverage area, which is at least one of the ring sectors, may be obtained.

According to the multi-layer network identification method provided by the embodiment of the invention, as the measurement report of the service cell in the second preset time period can be obtained, the second data to be processed is obtained from the measurement report, after judging that the second data to be processed meets the second data screening rule, the second data to be processed is used as second effective data, then the effective data sampling points of all adjacent cells in the second effective data are obtained according to the second preset condition, then the multi-layer network identification method is realized according to the fact that the ratio of the effective area corresponding to the adjacent cells to the total area corresponding to the adjacent cells is larger than the third threshold value after judging that the furthest distance between each effective data sampling point of the adjacent cells and the base station of the service cell, the number of different signal arrival angles corresponding to each effective data sampling point under the service cell and the first preset formula are obtained, the total area corresponding to the adjacent cells is also grouped, the effective data sampling points of each adjacent cells are obtained according to the area corresponding to the circle sector after judging that each group of effective data sampling points corresponds to the weight factor, the multi-layer network identification method is realized, and the multi-layer network identification is accurately identified for the service cell.

Further, on the basis of the foregoing embodiments, the second data filtering rule includes:

the ratio of the number of data sampling points belonging to the same neighboring cell and the total number of data sampling points included in the second data to be processed is greater than a fourth threshold value or the number of data sampling points belonging to the same neighboring cell is greater than a fourth preset value, and the total number of data sampling points is greater than a fifth preset value.

Specifically, the identifying means may obtain the total number of data sampling points included in the second data to be processed, may obtain the number of data sampling points included in the second data to be processed and belonging to the same neighboring cell, divide the number of data sampling points included in the second data to be processed and belonging to the same neighboring cell by the total number of data sampling points included in the second data to be processed, obtain a ratio c of the number of data sampling points included in the second data to be processed and belonging to the same neighboring cell to the total number of data sampling points included in the second data to be processed, compare the ratio c with a fourth threshold, and if the ratio c is greater than the fourth threshold and the total number of data sampling points included in the second data to be processed is greater than a fifth preset value, then the second data to be processed is used as the second effective data, the fourth threshold is, for example, 10%, and the fifth preset value is, for example, 200. Or, the number of data sampling points included in the second data to be processed and belonging to the same neighboring cell is greater than a fourth preset value, and the total number of data sampling points included in the second data to be processed is greater than a fifth preset value, then the second data to be processed is used as the second effective data, and the fourth preset value is, for example, 200. The fourth threshold, the fourth preset value and the fifth preset value are set according to practical experience, and the embodiment of the invention is not limited.

On the basis of the foregoing embodiments, further, the second preset condition includes:

the ratio of the number of data sampling points belonging to the same neighbor cell in the second effective data meeting a third preset condition to the total number of data sampling points in the second effective data is larger than a fifth threshold; wherein, the third preset condition is: the received power of the reference signal of the data sampling point belonging to the same adjacent cell in the same adjacent cell is larger than a sixth preset value.

Specifically, after the identifying means obtains the second valid data, calculating a ratio e of the number of data sampling points belonging to the same neighboring cell in the second valid data, which satisfies a third preset condition, to the total number of data sampling points in the second valid data, comparing the ratio e with a fifth threshold, and if the ratio e is greater than the fifth threshold, then the data sampling points belonging to the same neighboring cell, which satisfies the third preset condition, are valid data sampling points of the neighboring cell, and the fifth threshold is, for example, 40%. The third preset condition is: the reference signal received power of the data sampling points belonging to the same neighbor cell in the same neighbor cell is greater than a sixth preset value, the identification device may obtain RSRP of the data sampling points belonging to the same neighbor cell in the second effective data in the same neighbor cell, compare the RSRP of the data sampling points belonging to the same neighbor cell in the same neighbor cell with the sixth preset value, and if the RSRP of the data sampling points belonging to the same neighbor cell in the same neighbor cell is greater than the sixth preset value, the data sampling points satisfy the third preset condition, and the sixth preset value is 110dBm, for example. The fifth threshold and the sixth preset value are set according to practical experience, and the embodiment of the invention is not limited.

On the basis of the above embodiments, further, the first preset formula is:

wherein S is _{Total (S)} For the total area corresponding to the neighbor cell, n is the number of different signal arrival angles of each effective data sampling point of the neighbor cell under the service cell, R _max K is a constant for the farthest distance among the distances from each effective data sampling point of the neighbor cell to the serving cell base station.

Specifically, the identifying device may obtain the AOAs corresponding to the valid data sampling points of the neighboring cells under the serving cell, and count the number of different AOAs in the obtained AOAs to obtain the number n of different signal arrival angles of the valid data sampling points of the neighboring cells under the serving cell; the identification device can obtain the distance between each effective data sampling point of the adjacent cell and the base station of the service cell, and compare the distances between each effective data sampling point of the adjacent cell and the base station of the service cell to obtain the furthest distance R in the distances between each effective data sampling point of the adjacent cell and the base station of the service cell _max The method comprises the steps of carrying out a first treatment on the surface of the The identification device is used for identifying the identification device according to a first preset formula

The total area S corresponding to the neighbor cell can be calculated and obtained _{Total (S)} Where k is a constant, k may be 72 or 720.

On the basis of the foregoing embodiments, further, the obtaining, according to the weight factor of each group of the valid data sampling points of the neighbor cell and the area of the ring sector, the area corresponding to each group of the valid data sampling points includes:

according to formula S _i ＝J _i P _i Calculating to obtain the area S corresponding to the effective data sampling point of the ith group of the neighbor cell _i Wherein J is _i Weighting factors of the effective data sampling points of the ith group of the neighbor cells, P _i The area corresponding to the effective data sampling point of the ith group of the neighbor cell is provided;

R _i1 for the outer radius of the ring sector corresponding to the ith group of effective data sampling points of the neighbor cell, R _i2 The inner radius of the circular ring sector corresponding to the effective data sampling point of the ith group of the neighbor cell is the positive integer, and k is a constant;

the second preset formula is:

N _i for the number, N, of the effective data sampling points included in the ith group of the neighbor cells _{Total (S)} L is the total number of data sampling points included in the second valid data _i L is the distance from the effective data sampling point of the ith group of the neighbor cell to the base station of the service cell _max And the effective data sampling point is the farthest distance from each effective data sampling point of the adjacent cell to the base station of the service cell.

Specifically, the identifying means may obtain valid data samples included in the i-th set of valid data samples of the neighboring cellNumber of dots N _i The second valid data includes the total number N of data sampling points _{Total (S)} The distance L from the effective data sampling point of the ith group of the neighbor cell to the base station of the service cell _i The longest distance L of the distances between each effective data sampling point of the adjacent cells and the base station of the service cell _max Then according to a second preset formula

Calculating to obtain the weight factor J of the effective data sampling point of the ith group of the neighbor cell _i . The identification device can obtain the outer radius R of the circular sector corresponding to the ith group of effective data sampling points of the neighbor cell _i1 The inner radius R of the circular ring sector corresponding to the effective data sampling point of the ith group of the neighbor cells _i2 Then->

Calculating to obtain the area P corresponding to the effective data sampling point of the ith group of the neighbor cell _i Where k is a constant, k may be 72 or 720. The identification device is according to formula S _i ＝J _i P _i Calculating to obtain the area S corresponding to the effective data sampling point of the ith group of the neighbor cell _i Wherein i is a positive integer.

On the basis of the foregoing embodiments, further, the obtaining, according to the areas corresponding to the valid data sampling points of each group of the neighboring cells, the valid area corresponding to the neighboring cells includes:

according to the formula

Calculating to obtain the effective area S corresponding to the neighbor cell _{Effective and effective} Wherein S is _i And for the area corresponding to the effective data sampling points of the ith group of the neighbor cell, m is the group number of the effective data sampling points of the neighbor cell, i is a positive integer, and i is smaller than or equal to m.

In particular, the identifying means may obtain the neighborhoodThe areas corresponding to the effective data sampling points of each group of the cells are then calculated according to the formula

Specifically, after determining that the serving cell is the multi-layer network cell, the identifying device may obtain each neighboring cell that makes the serving cell be the multi-layer network cell, and output all neighboring cells that make the serving cell be the multi-layer network cell, where the output neighboring cells may be represented by cell identifiers of the neighboring cells. If there are 4 different said neighbor cells making the serving cell the multi-layer network cell, then the serving cell belongs to layer 5 network active coverage.

Fig. 4 is a schematic structural diagram of an apparatus for identifying a multi-layer network according to an embodiment of the present invention, as shown in fig. 4, where the apparatus for identifying a multi-layer network according to an embodiment of the present invention includes a first obtaining unit 401, a first judging unit 402, and a second judging unit 403, where:

the first obtaining unit 401 is configured to obtain a measurement report of a serving cell in a first preset period of time, and obtain first data to be processed from the measurement report; the first determining unit 402 is configured to determine that the first data to be processed satisfies a first data filtering rule, and then take the first data to be processed as first valid data; wherein the first data screening rule is preset; the second determining unit 403 is configured to determine that the serving cell is a multi-layer network cell after determining that a ratio of a number of data sampling points belonging to the same neighboring cell in the first effective data that satisfies a first preset condition to a total number of data sampling points in the first effective data is greater than a first threshold; wherein, the first preset condition is: the received power of the reference signal of the data sampling point belonging to the same adjacent cell in the same adjacent cell is larger than a first preset value.

Specifically, the first obtaining unit 401 may obtain a measurement report of a serving cell in a first preset period from a network management system of LTE, where MR is formed by measuring and reporting relevant network indexes of the serving cell and a neighboring cell according to measurement configuration issued by each user equipment on a network side, where the user equipment may report relevant network indexes such as a cell identifier of the serving cell, a cell identifier of the neighboring cell, a reference signal received power (Reference Signal Receiving Power, abbreviated as RSRP) of the serving cell, and RSRP of the neighboring cell. The first obtaining unit 401 may extract, from the MR, the cell identifier of the serving cell, the cell identifier of the neighboring cell, and the RSRP of the neighboring cell of each data sampling point as first data to be processed. The first preset time period is set according to actual needs, and the embodiment of the invention is not limited. Because MR is adopted to identify the multi-layer network, drive test is not needed, the identification cost of the multi-layer network is saved, and the identification efficiency of the multi-layer network is improved.

In order to ensure the validity of the first data to be processed, the first determining unit 402 determines whether a first data filtering rule is satisfied for the first data to be processed after obtaining the first data to be processed, and if the first data to be processed satisfies the first data filtering rule, uses the first data to be processed as first valid data. Wherein the first data screening rule is preset. It is understood that the first valid data includes a cell identifier of the serving cell, a cell identifier of the neighboring cell, and an RSRP of the neighboring cell of each of the data sampling points.

After the first valid data is obtained, the second determining unit 403 calculates a ratio a of the number of data sampling points belonging to the same neighboring cell in the first valid data satisfying a first preset condition to the total number of data sampling points in the first valid data, compares the ratio a with a first threshold value, and if the ratio a is greater than the first threshold value, the serving cell is a multi-layer network cell, and the first threshold value is, for example, 40%. The data sampling points belonging to the same neighbor cell refer to the data sampling points having the cell identification of the same neighbor cell in the first effective data. The first preset condition is as follows: the reference signal received power of the data sampling points belonging to the same neighboring cell in the same neighboring cell is greater than a first preset value, the second judging unit 403 may obtain RSRP of the data sampling points belonging to the same neighboring cell in the same neighboring cell, compare the RSRP of the data sampling points belonging to the same neighboring cell in the same neighboring cell with the first preset value, and if the RSRP of the data sampling points belonging to the same neighboring cell in the same neighboring cell is greater than the first preset value, the data sampling points satisfy the first preset condition, where the first preset value is, for example, -110dBm. The first threshold and the first preset value are set according to practical experience, and the embodiment of the invention is not limited. It may be appreciated that, each of the neighboring cells corresponds to one of the above ratios a, and if there are a plurality of neighboring cells each corresponding to the above ratio a that is greater than the first threshold, there is an area within the serving cell that is covered by the network of the above plurality of neighboring cells.

According to the multi-layer network identification device provided by the embodiment of the invention, the measurement report of the service cell in the preset time period can be obtained, the first data to be processed is obtained from the measurement report, the first data to be processed is taken as the first effective data after judging that the first data to be processed meets the first data screening rule, and then the multi-layer network identification accuracy is improved after judging that the ratio of the number of the data sampling points belonging to the same adjacent cell and meeting the first preset condition in the first effective data to the total number of the data sampling points in the first effective data is larger than the first threshold value.

Fig. 5 is a schematic structural diagram of a multi-layer network identification device according to another embodiment of the present invention, as shown in fig. 5, where the multi-layer network identification device provided by the embodiment of the present invention includes a second obtaining unit 501, a third judging unit 502, a first obtaining unit 503, a second obtaining unit 504, a grouping unit 505, a third obtaining unit 506, a fourth obtaining unit 507, and a fourth judging unit 508, where:

the second obtaining unit 501 is configured to obtain a measurement report of a serving cell in a second preset period of time, and obtain second data to be processed from the measurement report; the third determining unit 502 is configured to determine that the second data to be processed satisfies a second data filtering rule, and then use the second data to be processed as second valid data; wherein the second data screening rule is preset; the first obtaining unit 503 is configured to obtain, according to a second preset condition, valid data sampling points of each neighboring cell in the second valid data; the second obtaining unit 504 is configured to obtain a total area corresponding to the neighboring cell according to a farthest distance from the effective data sampling points of the neighboring cell to the serving cell base station, the number of different signal arrival angles corresponding to the effective data sampling points under the serving cell, and a first preset formula; the grouping unit 505 is configured to take, as a set of valid data sampling points, valid data sampling points that have equal distances from each valid data sampling point of the neighboring cell to the serving cell base station and equal corresponding signal arrival angles under the serving cell, and correspond each set of valid data sampling points to one ring sector according to the distance from each set of valid data sampling points to the serving cell base station and the corresponding signal arrival angle under the serving cell; wherein the ring sector is preset; the third obtaining unit 506 is configured to obtain an area corresponding to each group of valid data sampling points according to a weight factor of each group of valid data sampling points of the neighboring cell and an area of the corresponding ring sector; wherein the weight factor is obtained according to a second preset formula; the fourth obtaining unit 507 is configured to obtain an effective area corresponding to the neighboring cell according to the areas corresponding to the effective data sampling points of each group of the neighboring cell; the fourth determining unit 508 is configured to determine that the serving cell is a multi-layer network cell after determining that a ratio of an effective area corresponding to the neighboring cell to a total area corresponding to the neighboring cell is greater than a third threshold.

Specifically, the second obtaining unit 501 may obtain, from the network management system of LTE, the MR of the serving cell in the second preset period, where the MR includes the cell identifier of the serving cell, the cell identifier of the neighboring cell, the RSRP of the serving cell, and the RSRP of the neighboring cell of each data sampling point, and may further include data such as a distance between each data sampling point and the serving cell base station, and a signal arrival angle corresponding to each data sampling point under the serving cell. The second obtaining unit 501 may extract, from the MR, a cell identifier of the serving cell, a cell identifier of the neighboring cell, and an RSRP of the neighboring cell of each data sampling point, a distance from the serving cell base station of each data sampling point, and an AOA corresponding to each data sampling point under the serving cell, as the second to-be-processed data. The second preset time period is set according to actual needs, and the embodiment of the invention is not limited.

In order to ensure the validity of the second data to be processed, the third judging unit 502 judges whether the second data to be processed meets a second data screening rule after obtaining the second data to be processed, and if the second data to be processed meets the second data screening rule, the second data to be processed is used as second valid data. Wherein the second data screening rule is preset. It is understood that the second valid data includes a cell identifier of the serving cell, a cell identifier of the neighboring cell, and an RSRP of the neighboring cell of each data sampling point, a distance between each data sampling point and the serving cell base station, and an AOA corresponding to each data sampling point under the serving cell.

After obtaining the second effective data, the first obtaining unit 503 filters the data sampling points of each neighboring cell included in the second effective data according to the second preset condition, so as to obtain effective data sampling points of each neighboring cell. The effective data sampling points of the adjacent cells refer to effective data sampling points with cell identifications of the same adjacent cells.

The second obtaining unit 504 may obtain distances from the effective data sampling points of the neighboring cells to the serving cell base station, and compare the distances from the effective data sampling points of the neighboring cells to the serving cell base station, so as to obtain the farthest distances from the distances. The second obtaining unit 504 may further obtain AOAs corresponding to the valid data sampling points of the neighboring cells under the serving cell, and statistically obtain the number of different AOAs in the foregoing AOAs. The second obtaining unit 504 may obtain the total area corresponding to the neighbor cell according to the furthest distance, the number of different AOAs, and the first preset formula.

The grouping unit 505 groups the valid data sampling points of the neighboring cells, and uses the valid data sampling points with equal distances from the serving cell base station and equal AOAs under the serving cell as a group, so that the distance from each valid data sampling point in each group to the serving cell base station is equal and the corresponding AOAs under the serving cell is equal, and uses the distance from each valid data sampling point in each group to the serving cell base station as the distance from each valid data sampling point in the group to the serving cell base station, and uses the AOAs corresponding under the serving cell, corresponding to each valid data sampling point in each group as the AOAs under the serving cell. The grouping unit 505 corresponds each set of the valid data sampling points to a ring sector, where the ring sector is preset. The coverage area of the service cell is a sector area, the coverage area of the service cell is equally divided into a plurality of small sector areas with equal central angles by the minimum AOA corresponding to the service cell, then two radiuses of each small sector area are equally divided by a preset distance, finally equal dividing points on the two radiuses of each small sector area are connected by an arc by taking the top point of the central angle corresponding to each small sector area as the center of a circle, so that each small sector area is divided into a plurality of ring sectors, each ring sector comprises an inner radius, an outer radius and a central angle, the inner radius is the radius of the small arc of the ring sector, the outer radius is the radius of the large arc of the ring sector, and the central angle of the arc sector is equal to the central angle of the corresponding sector area. The grouping unit 505 compares the distances from each set of the valid data sampling points to the serving cell base station with the inner radius and the outer radius of each circular ring sector, and simultaneously compares the AOAs corresponding to each set of the valid data sampling points under the serving cell with the central angles of each circular ring sector, and if the distances from a certain set of the valid data sampling points to the serving cell base station are greater than or equal to the inner radius of the circular ring sector and less than the outer radius of the circular ring sector, and the AOAs corresponding to the certain set of the valid data sampling points under the serving cell are equal to the central angles of the circular ring sector, the set of the valid data sampling points corresponds to the circular ring sector. The preset distance is set according to actual conditions, and the embodiment of the invention is not limited.

After each set of the valid data sampling points corresponds to the ring sector, the third obtaining unit 506 may calculate, according to a central angle, an inner radius, and an outer radius of the ring sector corresponding to each set of the valid data sampling points, an area of the ring sector corresponding to each set of the valid data sampling points, and then obtain, according to a weight factor of each set of the valid data sampling points and an area of the ring sector corresponding to each set of the valid data sampling points. Wherein the weight factor is obtained according to a second preset formula.

The fourth obtaining unit 507 obtains the effective areas corresponding to the neighboring cells according to the areas corresponding to the effective data sampling points of each group after obtaining the areas corresponding to the effective data sampling points of each group of the neighboring cells.

The fourth judging unit 508 divides the effective area corresponding to the neighboring cell by the total area corresponding to the neighboring cell, and obtains a ratio d of the effective area corresponding to the neighboring cell to the total area corresponding to the neighboring cell. The identifying means compares the ratio d with a third threshold value, which is for example 30%, if the ratio d is larger than the third threshold value, the served cell is a multi-layer network cell. The third threshold is set according to practical experience, and the embodiment of the invention is not limited. It will be appreciated that each of the neighbor cells covering the serving cell and its corresponding coverage area, which is at least one of the ring sectors, may be obtained.

According to the multi-layer network identification device provided by the embodiment of the invention, as the measurement report of the service cell in the second preset time period can be obtained, the second data to be processed is obtained from the measurement report, after judging that the second data to be processed meets the second data screening rule, the second data to be processed is used as second effective data, then the effective data sampling points of all adjacent cells in the second effective data are obtained according to the second preset condition, then the multi-layer network identification device is determined to accurately identify the multi-layer network according to the fact that the ratio of the effective area corresponding to the adjacent cells to the total area corresponding to the adjacent cells is larger than the third threshold value after judging that the furthest distance from each effective data sampling point of the adjacent cells to the base station of the service cell, the number of different signal arrival angles corresponding to each effective data sampling point under the service cell and the first preset formula are obtained, the total area corresponding to the adjacent cells are also grouped, and the effective data sampling points of each adjacent cell is obtained according to the area corresponding to the circle sector and the weight factor after judging that each group of effective data sampling points after grouping is obtained.

The embodiment of the multi-layer network identification device provided in the embodiment of the present invention may be specifically used to execute the processing flow of the corresponding method embodiment, and the functions thereof are not described herein again, and may refer to the detailed description of the corresponding method embodiment.

FIG. 6 is a schematic diagram of the physical structure of an electronic device according to an embodiment of the present invention, as shown in FIG. 6, the electronic device includes a first processor (processor) 601, a first memory (memory) 602, and a first communication bus 603;

wherein, the first processor 601 and the first memory 602 complete communication with each other through the first communication bus 603;

the first processor 601 is configured to call program instructions in the first memory 602 to perform a method, for example, comprising: acquiring a measurement report of a serving cell in a first preset time period, and acquiring first data to be processed from the measurement report; if the first data to be processed is judged to meet a first data screening rule, the first data to be processed is used as first effective data; wherein the first data screening rule is preset; if the ratio of the number of the data sampling points belonging to the same neighbor cell, which meets the first preset condition, in the first effective data to the total number of the data sampling points in the first effective data is judged to be greater than a first threshold value, determining that the service cell is a multi-layer network cell; wherein, the first preset condition is: the received power of the reference signal of the data sampling point belonging to the same adjacent cell in the same adjacent cell is larger than a first preset value.

The present embodiments disclose a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, are capable of performing a method comprising, for example: acquiring a measurement report of a serving cell in a first preset time period, and acquiring first data to be processed from the measurement report; if the first data to be processed is judged to meet a first data screening rule, the first data to be processed is used as first effective data; wherein the first data screening rule is preset; if the ratio of the number of the data sampling points belonging to the same neighbor cell, which meets the first preset condition, in the first effective data to the total number of the data sampling points in the first effective data is judged to be greater than a first threshold value, determining that the service cell is a multi-layer network cell; wherein, the first preset condition is: the received power of the reference signal of the data sampling point belonging to the same adjacent cell in the same adjacent cell is larger than a first preset value.

The present embodiment provides a non-transitory computer-readable storage medium storing first computer instructions that cause the computer to perform a method, for example, comprising: acquiring a measurement report of a serving cell in a first preset time period, and acquiring first data to be processed from the measurement report; if the first data to be processed is judged to meet a first data screening rule, the first data to be processed is used as first effective data; wherein the first data screening rule is preset; if the ratio of the number of the data sampling points belonging to the same neighbor cell, which meets the first preset condition, in the first effective data to the total number of the data sampling points in the first effective data is judged to be greater than a first threshold value, determining that the service cell is a multi-layer network cell; wherein, the first preset condition is: the received power of the reference signal of the data sampling point belonging to the same adjacent cell in the same adjacent cell is larger than a first preset value.

FIG. 7 is a schematic diagram of the physical structure of an electronic device according to another embodiment of the present invention, as shown in FIG. 7, the electronic device includes a second processor (processor) 701, a second memory 702, and a second communication bus 703;

wherein, the second processor 701 and the second memory 702 complete communication with each other through the second communication bus 703;

the second processor 701 is configured to call the program instructions in the second memory 702 to perform the following method, for example, including: acquiring a measurement report of a service cell within a second preset time period, and acquiring second data to be processed from the measurement report; if the second data to be processed is judged to meet a second data screening rule, the second data to be processed is used as second effective data; wherein the second data screening rule is preset; obtaining effective data sampling points of all adjacent cells in the second effective data according to a second preset condition; obtaining a total area corresponding to the neighbor cell according to the farthest distance from each effective data sampling point of the neighbor cell to the base station of the serving cell, the number of different signal arrival angles corresponding to each effective data sampling point under the serving cell and a first preset formula; taking the effective data sampling points with equal distances from the effective data sampling points of the adjacent cells to the service cell base station and equal corresponding signal arrival angles under the service cells as a group of the effective data sampling points, and corresponding each group of the effective data sampling points to one ring sector according to the distances from each group of the effective data sampling points to the service cell base station and the corresponding signal arrival angles under the service cells; wherein the ring sector is preset; obtaining the corresponding area of each group of effective data sampling points according to the weight factor of each group of effective data sampling points of the adjacent cell and the corresponding area of the circular sector; wherein the weight factor is obtained according to a second preset formula; obtaining the effective area corresponding to the neighbor cell according to the area corresponding to each group of effective data sampling points of the neighbor cell; and if the ratio of the effective area corresponding to the neighbor cell to the total area corresponding to the neighbor cell is larger than a third threshold value, determining that the service cell is a multi-layer network cell.

The present embodiments disclose a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, are capable of performing a method comprising, for example: acquiring a measurement report of a service cell within a second preset time period, and acquiring second data to be processed from the measurement report; if the second data to be processed is judged to meet a second data screening rule, the second data to be processed is used as second effective data; wherein the second data screening rule is preset; obtaining effective data sampling points of all adjacent cells in the second effective data according to a second preset condition; obtaining a total area corresponding to the neighbor cell according to the farthest distance from each effective data sampling point of the neighbor cell to the base station of the serving cell, the number of different signal arrival angles corresponding to each effective data sampling point under the serving cell and a first preset formula; taking the effective data sampling points with equal distances from the effective data sampling points of the adjacent cells to the service cell base station and equal corresponding signal arrival angles under the service cells as a group of the effective data sampling points, and corresponding each group of the effective data sampling points to one ring sector according to the distances from each group of the effective data sampling points to the service cell base station and the corresponding signal arrival angles under the service cells; wherein the ring sector is preset; obtaining the corresponding area of each group of effective data sampling points according to the weight factor of each group of effective data sampling points of the adjacent cell and the corresponding area of the circular sector; wherein the weight factor is obtained according to a second preset formula; obtaining the effective area corresponding to the neighbor cell according to the area corresponding to each group of effective data sampling points of the neighbor cell; and if the ratio of the effective area corresponding to the neighbor cell to the total area corresponding to the neighbor cell is larger than a third threshold value, determining that the service cell is a multi-layer network cell.

The present embodiment provides a non-transitory computer-readable storage medium storing second computer instructions that cause the computer to perform a method, for example, comprising: acquiring a measurement report of a service cell within a second preset time period, and acquiring second data to be processed from the measurement report; if the second data to be processed is judged to meet a second data screening rule, the second data to be processed is used as second effective data; wherein the second data screening rule is preset; obtaining effective data sampling points of all adjacent cells in the second effective data according to a second preset condition; obtaining a total area corresponding to the neighbor cell according to the farthest distance from each effective data sampling point of the neighbor cell to the base station of the serving cell, the number of different signal arrival angles corresponding to each effective data sampling point under the serving cell and a first preset formula; taking the effective data sampling points with equal distances from the effective data sampling points of the adjacent cells to the service cell base station and equal corresponding signal arrival angles under the service cells as a group of the effective data sampling points, and corresponding each group of the effective data sampling points to one ring sector according to the distances from each group of the effective data sampling points to the service cell base station and the corresponding signal arrival angles under the service cells; wherein the ring sector is preset; obtaining the corresponding area of each group of effective data sampling points according to the weight factor of each group of effective data sampling points of the adjacent cell and the corresponding area of the circular sector; wherein the weight factor is obtained according to a second preset formula; obtaining the effective area corresponding to the neighbor cell according to the area corresponding to each group of effective data sampling points of the neighbor cell; and if the ratio of the effective area corresponding to the neighbor cell to the total area corresponding to the neighbor cell is larger than a third threshold value, determining that the service cell is a multi-layer network cell.

Further, the logic instructions in the memory described above may be implemented in the form of software functional units and stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, an apparatus, a network device, or the like) to perform all or part of the steps of the method according to 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, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.

From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for identifying a multi-layer network, comprising:

if the first data to be processed is judged to meet a first data screening rule, the first data to be processed is used as first effective data;

if the ratio of the number of the data sampling points belonging to the same neighbor cell, which meets the first preset condition, in the first effective data to the total number of the data sampling points in the first effective data is judged to be greater than a first threshold value, determining that the service cell is a multi-layer network cell; wherein, the first preset condition is: the received power of the reference signal of the data sampling point belonging to the same adjacent cell in the same adjacent cell is larger than a first preset value;

wherein the first data screening rule includes:

2. The method as recited in claim 1, further comprising:

3. A method for identifying a multi-layer network, comprising:

if the second data to be processed is judged to meet a second data screening rule, the second data to be processed is used as second effective data;

if the ratio of the effective area corresponding to the neighbor cell to the total area corresponding to the neighbor cell is larger than a third threshold value, determining that the service cell is a multi-layer network cell;

wherein the second data filtering rule includes:

4. A method according to claim 3, wherein the second preset condition comprises:

5. The method of claim 3, wherein the first predetermined formula is:

wherein S is _{Total (S)} N is the number of different signal arrival angles corresponding to each effective data sampling point of the neighbor cell under the service cell for the total area corresponding to the neighbor cell, R _max K is a constant for the farthest distance among the distances from each effective data sampling point of the neighbor cell to the serving cell base station.

6. The method of claim 3, wherein the obtaining the area corresponding to each set of the valid data sampling points according to the weight factor of each set of the valid data sampling points of the neighboring cell and the area of the ring sector comprises:

according to formula S _i ＝J _i P _i Calculating to obtain the area S corresponding to the effective data sampling point of the ith group of the neighbor cell _i Wherein J is _i Weighting factors of the effective data sampling points of the ith group of the neighbor cells, P _i For the area of the circular ring sector corresponding to the effective data sampling point of the ith group of the adjacent cells,

R _i1 for the outer radius of the ring sector corresponding to the ith group of effective data sampling points of the neighbor cell, R _i2 Effective for the ith group of the neighbor cellsThe inner radius of the circular ring sector corresponding to the data sampling point, i is a positive integer, and k is a constant;

The second preset formula is:

7. The method of claim 3, wherein the obtaining the effective area corresponding to the neighboring cell according to the area corresponding to the effective data sampling points of each group of the neighboring cell comprises:

according to the formula

8. The method according to any one of claims 3 to 7, further comprising:

9. An identification device for a multi-layer network, comprising:

the first judging unit is used for taking the first data to be processed as first effective data after judging that the first data to be processed meets a first data screening rule;

the second judging unit is used for determining that the service cell is a multi-layer network cell after judging that the ratio of the number of data sampling points belonging to the same neighbor cell meeting a first preset condition in the first effective data to the total number of data sampling points in the first effective data is larger than a first threshold value; wherein, the first preset condition is: the received power of the reference signal of the data sampling point belonging to the same adjacent cell in the same adjacent cell is larger than a first preset value;

wherein the first data screening rule includes:

10. An identification device for a multi-layer network, comprising:

the third judging unit is used for taking the second data to be processed as second effective data after judging that the second data to be processed meets a second data screening rule;

a fourth judging unit, configured to determine that the serving cell is a multi-layer network cell after judging that a ratio of an effective area corresponding to the neighboring cell to a total area corresponding to the neighboring cell is greater than a third threshold;

wherein the second data filtering rule includes:

11. An electronic device, comprising: a first processor, a first memory, and a first communication bus, wherein:

the first memory stores program instructions executable by the first processor, the first processor invoking the program instructions capable of performing the method of any of claims 1-2.

12. A non-transitory computer readable storage medium storing first computer instructions that cause the computer to perform the method of any one of claims 1 to 2.

13. An electronic device, comprising: a second processor, a second memory, and a second communication bus, wherein:

the second memory stores program instructions executable by the second processor, the second processor invoking the program instructions capable of performing the method of any of claims 3-8.

14. A non-transitory computer readable storage medium storing second computer instructions that cause the computer to perform the method of any of claims 3 to 8.