CN115175232A - Over-coverage cell identification method based on MRO - Google Patents
Over-coverage cell identification method based on MRO Download PDFInfo
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Abstract
The invention provides an MRO-based over-coverage cell identification method, which belongs to the technical field of communication and comprises the following steps: acquiring MRO sampling data of a main service cell and a plurality of corresponding adjacent cells; acquiring the overlapping coverage of the current main service cell, and if the overlapping coverage is greater than a preset overlapping coverage threshold, determining that the neighboring cell corresponding to the current main service cell is an affected neighboring cell; taking the influence neighbor cell of the non-first circle neighbor cell as an over-coverage neighbor cell; and if the number of the over-coverage neighbor cells is greater than the threshold value of the over-coverage neighbor cells, the current main service cell is the over-coverage cell. The invention can truly reflect the actual network condition of the user terminal through the mass MRO data measured periodically, and the over-coverage analysis of the cell is carried out according to the MRO, thereby greatly improving the accuracy of the analysis; the coverage distance of the cell is considered unilaterally, the overlapping coverage degree of the main service cell and the adjacent cell is combined, and the accuracy of the over-coverage analysis is improved; compared with the traditional drive test frequency sweeping technology, the method saves the labor cost.
Description
Technical Field
The invention relates to the technical field of communication, in particular to an over-coverage cell identification method based on MRO.
Background
In recent years, with the rapid increase of economy and the high development of cities, new high-density cells are continuously present, in order to avoid the attenuation of radio signals of mobile communication caused by blocking in propagation, a method of adding base stations is adopted to enhance signal coverage so as to ensure that a user can switch to a proper adjacent cell in time when moving to avoid communication interruption, but through the method, excessive coverage of the cells can be overlapped, and the excessive coverage can bring great negative effects to the user experience, including: (1) The over-coverage easily generates an island effect, frequency interference and the like, easily causes that user equipment is difficult to switch among different base stations, and easily causes phenomena of call drop, TCH frequent switching and the like due to untimely switching; (2) The excessive coverage may cause extra traffic to be absorbed, which easily causes cell channel congestion in the overlapping area, and affects the communication and conversation efficiency of the user.
Traditional method that covers analysis technique needs to pass through drive test or frequency sweep through artifical handheld professional equipment, carry out signal sampling as main service cell with the cell that awaits measuring, analysis sampling point characteristic, acquire communication data from professional equipment, thereby judge whether the sampling point is covering, the sampling point quantity that this method can test with this is limited, and need test respectively through the manual work to the region that a plurality of base stations cover, inefficiency, and be difficult to cover the region of great area, lead to the manpower easily, the waste of material resources.
Therefore, the existing over-coverage analysis technology is difficult to determine the over-coverage cell efficiently, accurately and quickly.
Disclosure of Invention
The invention provides an MRO-based over-coverage cell identification method, which is used for rapidly analyzing the whole network over-coverage cell through massive 5GMRO sampling data, so that the labor cost is saved, and the analysis efficiency is improved.
The invention provides an MRO-based over-coverage cell identification method, which comprises the following steps:
s1, respectively acquiring MRO sampling data of any main service cell and a plurality of corresponding adjacent cells;
s2, acquiring the overlapping coverage of the current main service cell based on the MRO sampling data, if the overlapping coverage is greater than a preset overlapping coverage threshold, taking the adjacent cell corresponding to the current main service cell as an influence adjacent cell, and outputting the number of the influence adjacent cells of the main service cell;
s3, judging whether each affected adjacent cell is a first circle adjacent cell of the main service cell, and outputting the number of the over-covered adjacent cells, wherein the affected adjacent cells of the non-first circle adjacent cells are over-covered adjacent cells;
and S4, if the number of the over-coverage neighbor cells of the current main service cell is greater than a preset over-coverage neighbor cell threshold value, the current main service cell is an over-coverage cell.
According to the over-coverage cell identification method based on MRO provided by the invention, the MRO sampling data is analyzed, and the method comprises the following steps:
acquiring the working parameters of the existing network, wherein the working parameters of the existing network comprise a cell name, eNodeBID, a base station type, base station position information, CI, a base station signal frequency point, a base station antenna direction angle, a base station antenna hanging height and base station antenna transmitting power;
and acquiring the RSRP of the main service cell, the weak coverage sampling point, the adjacent cell relation of the main service cell, the RSRP of the adjacent cell sampling point and the RSRP of the overlapped coverage area.
According to the method for identifying the over-covered cell based on the MRO provided by the present invention, in step S2, the method for obtaining the overlapping coverage of the plurality of neighboring cells and the current main serving cell specifically includes:
s201, acquiring sampling points of an adjacent cell in the MRO sampling data based on the MRO sampling data, and acquiring a first RSRP value of each sampling point;
s202, acquiring the total number of sampling points of the adjacent region based on the MR data of the adjacent region, acquiring the same overlapped sampling points and the corresponding number in the step S201, and acquiring a second RSRP value of each overlapped sampling point;
s203, acquiring a difference value between the first RSRP value and the second RSRP value of any overlapped sampling point;
s204, outputting the number of sampling points with the difference value larger than the preset RSRP difference value threshold, and obtaining the overlapping coverage degree as follows:
overlap coverage = number of samples with difference greater than a preset RSRP difference threshold/total number of samples x 100%.
According to the method for identifying the over coverage cell based on the MRO, provided by the invention, the over coverage influence ratio of the main service cell to the adjacent cell is obtained, and the method specifically comprises the following steps:
the proportion of the over-coverage effect = number of overlapping samples/number of total samples x 100%.
According to the method for identifying the over-coverage cell based on the MRO provided by the invention, for any adjacent cell, if the over-coverage influence ratio of the corresponding main service cell to the adjacent cell is greater than the preset over-coverage influence ratio threshold value, the distance between the adjacent cell and the corresponding main service cell is less than the preset distance, and the overlapping coverage is greater than the preset overlapping coverage threshold value, the adjacent cell is the influence adjacent cell of the corresponding main service cell.
According to the method for identifying the over-coverage cell based on the MRO provided by the invention, whether each influence neighbor cell is the first circle neighbor cell of the main service cell is judged, and the method specifically comprises the following steps:
for each influence neighbor cell, acquiring the distance between the influence neighbor cell and the main service cell;
acquiring direction angles of a main service cell and an influencing adjacent cell, and respectively acquiring included angles of a direction angle bisector and a main service cell and an influencing adjacent cell connecting line;
and sequentially judging whether the main service cell has an influence neighbor cell with smaller included angle and smaller distance than the current influence neighbor cell according to the angle of the included angle from small to large, and if not, judging that the current influence neighbor cell is the first circle neighbor cell of the main service cell.
According to the over-coverage cell identification method based on MRO provided by the invention, whether each influence neighbor cell is the first circle neighbor cell of the main service cell is judged, and the method comprises the following steps:
according to the distance, a plurality of distance lists influencing the adjacent cells and the main service cell are generated from large to small; according to the size of the angle, arranging the angle from large to small to generate a plurality of angle lists which influence the adjacent cells and the main service cell;
and sequentially judging whether the main service cell has an influence neighbor cell which has a smaller included angle and a smaller distance than the current influence neighbor cell according to the distance list and the angle list, and if not, judging that the current influence neighbor cell is the first circle of neighbor cell of the main service cell.
On the other hand, the invention also provides an MRO-based over-coverage cell identification apparatus, which comprises a data acquisition module, a data analysis module, an over-coverage neighboring cell judgment module and an over-coverage cell identification module, wherein:
the data acquisition module is used for acquiring MRO sampling data of any main service cell and a plurality of corresponding adjacent cells from a corresponding base station;
the data analysis module is used for analyzing the MRO sampling data, acquiring the overlapping coverage of the current main service cell, if the overlapping coverage is greater than a preset overlapping coverage threshold, the adjacent cell corresponding to the current main service cell is an influence adjacent cell, and outputting the number of the influence adjacent cells of the main service cell;
the over-coverage neighboring cell judging module is used for judging whether each affected neighboring cell is a first circle neighboring cell of the main service cell, and outputting the number of the over-coverage neighboring cells, wherein the affected neighboring cells of the non-first circle neighboring cells are the over-coverage neighboring cells;
and the over-coverage cell identification module acquires the number of the over-coverage neighbor cells, and if the number of the over-coverage neighbor cells of the current main service cell is greater than a preset over-coverage neighbor cell threshold value, the current main service cell is the over-coverage cell.
The present invention also provides an electronic device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned method for identifying an over-coverage cell when executing the program.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method for identifying an over-covered cell as described in any of the above.
According to the over-coverage cell identification method based on the MRO, the actual network condition of the user terminal can be truly reflected through the mass MRO data measured periodically by acquiring the MRO sampling data of the main service cell and the corresponding multiple adjacent cells, and the over-coverage analysis of the cell is carried out according to the MRO, so that the analysis accuracy is greatly improved;
the method not only considers the coverage distance of the cell in a unilateral way, but also combines the overlapping coverage of the main service cell and the adjacent cell, thereby improving the accuracy of the over-coverage analysis; compared with the traditional drive test frequency sweeping technology, the method saves the labor cost;
particularly, the method is particularly suitable for 5G base station over-coverage analysis, and 5G base stations are often distributed more densely in places with high population density due to the small signal range of the 5G base stations.
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In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of an MRO-based over-coverage cell identification method provided in the present invention;
fig. 2 is one of the schematic diagrams of the neighboring cell structures of the MRO-based over-coverage cell identification method provided in the present invention;
fig. 3 is a second schematic diagram of a neighboring cell structure of the MRO-based over-coverage cell identification method provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," and the like in the description and claims of this application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In an embodiment, as shown in fig. 1, an MRO-based method for identifying an over-covered cell provided by the present invention includes the steps of:
s1, respectively acquiring MRO sampling data of any main service cell and a plurality of corresponding adjacent cells;
s2, acquiring the overlapping coverage of the current main service cell based on the MRO sampling data, if the overlapping coverage is greater than a preset overlapping coverage threshold, taking the adjacent cell corresponding to the current main service cell as an influence adjacent cell, and outputting the number of the influence adjacent cells of the main service cell;
s3, judging whether each affected adjacent cell is a first circle adjacent cell of the main service cell, and outputting the number of the over-covered adjacent cells, wherein the affected adjacent cells of the non-first circle adjacent cells are over-covered adjacent cells;
and S4, if the number of the over-coverage neighbor cells of the current main service cell is greater than the preset over-coverage neighbor cell threshold value, the current main service cell is the over-coverage cell.
Further, analyzing the MRO sample data includes:
acquiring the working parameters of the existing network, wherein the working parameters of the existing network comprise a cell name, eNodeBID, a base station type, base station position information, CI, a base station signal frequency point, a base station antenna direction angle, a base station antenna hanging height and base station antenna transmitting power;
preferably, the base station type is a 5G base station, and because the signal range of the 5G base station is smaller, the 5G base stations are often distributed more densely in places with high population density, that is, the 5G base station is more likely to generate an over-coverage phenomenon, and the over-coverage may cause the quality of the 5G signal and the network speed to decrease, so that the method provided by the present invention is helpful for an operator to find a 5G signal area with the over-coverage;
and acquiring the RSRP of the main service cell, the weak coverage sampling point, the adjacent cell relation of the main service cell, the RSRP of the adjacent cell sampling point and the RSRP of the overlapped coverage area.
It should be noted that MRO data acquisition uses eNodeB as a unit, each cell may have tens of thousands or hundreds of thousands of records per day according to traffic conditions, and the data volume is tens of T to hundreds of T or even larger;
particularly, for the over-coverage analysis of the 5G base station, due to the high transmission rate of the 5G signal, the data volume of the 5G MRO data is far larger than that of the general MRO data, so that a Spark big data processing platform based on a hadoop file system is preferentially selected, the Spark big data processing platform is responsible for sorting, processing and analyzing mass MRO data, and the analysis result is written into an Oracle database; the MRO data is OriGinal data of a Measurement Report sample data file (MRO, measurement Report OriGinal), and the MRO OriGinal data is analyzed to obtain MRO formatted data;
obtaining the network-present parameters, i.e. the operating parameters of the network present, including but not limited to: the method comprises the following steps of (1) carrying out cell name, eNodeBID, base station type, latitude and longitude of a base station and a working interval, CI (common interface), frequency points, base station antenna direction angles, antenna hanging heights, antenna transmitting power and the like;
according to dimensions of a district, a city, a cell user, RSRP, RSRQ and the like, resolving and clustering MRO data according to the relation between a main server cell and an adjacent cell;
specifically, a map and a run of Hadoop are adopted to analyze, extract and cluster mass MRO data to obtain basic data taking eNodeB as a unit; optionally, a Spark data processing technology and an Oracle relational database are used, and the basic data is counted by taking days as granularity, so as to obtain the following indexes: cell sampling point statistics, main service cell and adjacent cell relation statistics, overlapping coverage point statistics, mobile terminal user statistics, RSRP interval index statistics and RSRQ interval index statistics; the present invention is illustrated herein by way of example and not intended to be further limited;
further, in step S2, specific indicators that need to be focused on for performing the cell coverage analysis include, but are not limited to: the number of over-covered adjacent cells, the overlapping area, the number of points of the adjacent cells in the overlapping area, the distance between the main service cell and the overlapping coverage area, the distance between the adjacent cells and the overlapping coverage area, and the distance between the main service cell and the adjacent cells;
specifically, the determination of whether the cell is an over-covered cell mainly includes two aspects: (1) judging whether the adjacent cell is an influence adjacent cell; (2) judging whether the adjacent cell is a first circle of adjacent cell; the first round of neighboring cells generally do not consider performing signal switching with the corresponding main serving cell, so that the first round of neighboring cells in the neighboring cells are required to be eliminated, namely:
the number of over-coverage adjacent cells = the total number of the affected adjacent cells-the number of the first circle of adjacent cells;
specifically, the step of obtaining the overlapping coverage of the plurality of neighboring cells and the current main serving cell includes:
s201, acquiring sampling points of an adjacent cell in the MRO sampling data based on the MRO sampling data, and acquiring a first RSRP value of each sampling point;
s202, acquiring the total number of sampling points of the adjacent region based on the MR data of the adjacent region, acquiring the same overlapped sampling points and the corresponding number in the step S201, and acquiring a second RSRP value of each overlapped sampling point;
s203, acquiring a difference value between the first RSRP value and the second RSRP value of any overlapped sampling point;
s204, outputting the number of sampling points with the difference value larger than the preset RSRP difference value threshold, and obtaining the overlapping coverage degree as follows:
overlapping coverage = number of samples with difference greater than a preset RSRP difference threshold/total number of samples × 100%;
specifically, the proportion of the over coverage influence of the main serving cell on the neighboring cell needs to be obtained:
the over-coverage impact ratio = number of overlapping samples/number of total samples × 100%;
specifically, for any neighboring cell, if the proportion of the overlapping coverage influence of the corresponding main serving cell to the neighboring cell is greater than the preset threshold value of the overlapping coverage influence proportion, the distance between the neighboring cell and the corresponding main serving cell is less than the preset distance, and the overlapping coverage is greater than the preset threshold value of the overlapping coverage, the neighboring cell is the influenced neighboring cell of the corresponding main serving cell.
Preferably, the base station type is a 5G base station, and since the signal range of the 5G base station is smaller, the 5G base stations are often distributed more densely in places with high population density, that is, the 5G base stations are more likely to generate an over-coverage phenomenon, so that the over-coverage influence ratio threshold is taken as 3%, and the overlapping coverage threshold is taken as 30%; when the overlapping coverage of the adjacent cell is more than 30%, the over coverage influence ratio is more than 3%, and the distance between the adjacent cell and the corresponding main service cell is less than 2km, judging that the adjacent cell is the influence adjacent cell of the corresponding main service cell; it should be noted that the threshold value here is only an example of the embodiment of the present invention, and should not be considered as a further limitation of the present invention, and actually, the threshold value may be adaptively adjusted according to the location of the base station, the population density, the number of mobile communication devices, the number of telephone traffic, the type of base station antenna, and the like, rather than a unique value, for example, in a service area range where only a 4G base station is provided or where a 4G base station and a 5G base station are mixedly provided, values of the over-coverage influence ratio threshold value and the overlap coverage threshold value may be different;
specifically, as shown in fig. 2, the following is exemplified:
for example: the measurement result of the main service cell comprises adjacent cells 1,2,3,4,5, \8230;, the number of cells affected by the over coverage of the main service cell is calculated: taking a preset RSRP difference threshold as-6 dB;
adjacent area 1: the RSRP of the overlapped sampling points of the MRO data of the main service cell and the adjacent cell 1 is-102.67 dB and-103.25 dB respectively when the MRO measurement report of the main service cell appears for 2 times; the total number of sampling points of the neighboring cell 1 is 6, and RSRP of the overlapping point with the main serving cell is: -98.36dB, -99.14dB;
the power intensity difference of two RSRP receiving signal codes obtained by two overlapped sampling points is larger than-6 dB, the number of the sampling points with the difference larger than a preset RSRP difference threshold is 2, and the overlapped coverage is calculated as follows: 2/6 > 100% >30%; the result of the over-coverage influence of the main service cell on the adjacent cell 1 is 2/6 + 100% >3%, and the adjacent cell 1 is the influence adjacent cell of the main service cell A;
and (2) adjacent cells: the measurement report of the main serving cell appears 2 times, that is, in the MRO data of the main serving cell, RSRP of the overlapping sampling points with the neighboring cell 2 is-97.45 dB, -97.28dB, respectively, the total number of sampling points of the neighboring cell 2 is 7, and RSRP of the overlapping sampling points is: -90.36dB, -92.14dB;
the difference between-97.45 dB and-90.36 dB is less than-6 dB for the overlapping sample points 1; the difference between-97.28 dB and-92.14 dB is greater than-6 dB for overlapping sample points; then the number of sampling points with difference values larger than the preset RSRP difference threshold is 1, and the calculated overlapping coverage is: 1/7 + 100% <30%, if the result of the over-coverage influence of the main serving cell on the neighboring cell 2 is 2/7 + 100% >3%, and the condition of overlapping coverage is not met, it is determined that the neighboring cell 2 is not the influenced neighboring cell of the main serving cell a;
and (3) adjacent cell: the measurement report of the main serving cell appears 1 time, that is, in the MRO data of the main serving cell, the RSRP of the overlapped sampling point with the neighboring cell 3 is-95.67 dB, and the total number of sampling points of the neighboring cell 3 is: RSRP for the overlap point is: -90.42dB, the RSRP rscp code power strength difference obtained by the overlapping sampling points is greater than-6 dB, the number of sampling points having a difference greater than the preset RSRP difference threshold is 1, and the overlapping coverage is calculated as: 1/34 100% <30%, the result of the over-coverage influence of the main serving cell on the neighboring cell 1 is 1/34% 100% <3%, and the neighboring cell 3 is not the influence neighboring cell of the main serving cell a;
sequentially calculating and accumulating the number of adjacent cells influenced by the main service cell;
the above calculation is only a further explanation of the embodiment of the present invention, and should not be considered as a limitation of the embodiment of the present invention, where the value of the preset RSRP difference threshold is an adjustable parameter, and may be further adjusted according to actual conditions, such as whether the value is a 5G base station, a base station signal strength, an antenna direction angle, an antenna type, and the like;
further, determining whether each affected neighbor cell is the first circle of neighbor cells of the primary serving cell includes:
for each influencing neighbor cell, acquiring the distance between the influencing neighbor cell and the main service cell;
acquiring the direction angles of a main service cell and an influencing adjacent cell, and respectively acquiring the included angles of a direction angle bisector and a connecting line of the main service cell and the influencing adjacent cell;
and sequentially judging whether the main service cell has influence neighbor cells with smaller included angles and smaller distances than those of the current influence neighbor cells from small to large according to the angle of the included angle, and if not, judging the current influence neighbor cell to be the first circle neighbor cell of the main service cell.
Preferably, the determining whether each influencing neighboring cell is the first circle neighboring cell of the primary serving cell by the following method includes:
according to the distance, a plurality of distance lists influencing the adjacent cells and the main service cell are generated from large to small; generating a plurality of angle lists influencing the adjacent cells and the main service cell from small to large according to the size of the angles, namely, the smaller the angle is, the closer the angle is to 0, the larger the corresponding weight is judged to be, and the weight lists are further generated by descending order;
and sequentially judging whether the main service cell has an influence neighbor cell which has a smaller included angle and a smaller distance than the current influence neighbor cell according to the distance list and the angle list, and if not, judging that the current influence neighbor cell is the first circle of neighbor cell of the main service cell.
In a particular embodiment, the primary serving cell latitude and longitude is p as shown in FIG. 3 1 (X 1 ,Y 1 ) Longitude and latitude of the neighboring region is recorded as p 2 (X 2 ,Y 2 ) The straight line connecting the two points is: (Y) 1 -Y)/(Y 2 -Y 1 )＝(X 1 -X)/(X 2 -X 1 )；
At any point on the straight line, it is denoted as p 3 (X 3 ,Y 3 )；
Obtaining the direction angle of the cell, drawing a fan-shaped cell according to the direction angle of the cell, taking the midpoint of a fan-shaped arc line and recording as p 4 (X 4 ,Y 4 )；
According to the formula of cosine theorem:
cosθ＝(p 1 p 3 *p 1 p 3 +p 1 p 4 *p 1 p 4 –p 3 p 4 *p 3 p 4 )/2*p 1 p 3 *p 1 p 4 ；
p is obtained by calculation 1 p 4 Angle theta between connection line and connection line of main service cell and adjacent cell 1 Further calculating the included angle between other adjacent cells and the connection line between the main service cell and the corresponding adjacent cell;
if the included angle approaches to 0, it is indicated that the overlapping coverage of signals between two cells is more serious, the smaller the included angle is, the larger the corresponding weight is, that is, whether the weight of the first circle of neighboring cells is larger is judged;
repeating the steps, respectively calculating the included angle between each adjacent cell and the main service cell, and sorting the included angles according to the weight descending order;
respectively calculating the distances between the affected adjacent regions 1,2,3, \8230: \8230, the distances between the affected adjacent regions and the main service cell, 1,2,3 \8230: \82308230; \8230;, descending sort;
under the condition of ensuring that the weight is not changed, sequentially judging whether adjacent cells with smaller distance values and smaller weights exist in the radius ranges of the main service cell and the adjacent cell i according to the weight list arranged in a descending order, and if not, marking the adjacent cell i as a first circle of adjacent cells of the main service cell; otherwise, the cell is a non-first circle of adjacent cells;
specifically, for example, three adjacent cells, namely the adjacent cell a, the adjacent cell b and the adjacent cell c, are arranged in descending order of distance and are sequentially the adjacent cell a, the adjacent cell b and the adjacent cell c, and are arranged in descending order of weight and are sequentially the adjacent cell a, the adjacent cell b and the adjacent cell c; the adjacent cells a-c are sequentially judged according to the weight sequence, for the adjacent cell a, the corresponding distance and weight of the adjacent cell a are the largest, and the adjacent cells b and c with smaller distance values and smaller weights exist, so that the adjacent cell a is a non-first-circle adjacent cell; for the adjacent cell b, an adjacent cell c with a smaller distance value and a smaller weight exists, so that the adjacent cell b is a non-first-circle adjacent cell; for the neighboring cell c, there is no neighboring cell with smaller distance value and smaller weight, so the neighboring cell c is the first round of neighboring cell.
Based on the total number of the affected adjacent cells and the number of the adjacent cells of the first circle, which are obtained by calculation by the method, a formula is applied:
the number of over-covered neighbor cells = the total number of the affected neighbor cells-the number of the first circle of neighbor cells;
and calculating to obtain the number of the over-covered adjacent cells, and further executing the step S4:
if the number of the over-covered neighbor cells of the current main service cell is larger than the preset over-covered neighbor cell threshold value, it is indicated that the current main service cell has too many over-covered neighbor cells and has a region with serious signal interference with more neighbor cells, which may cause bad influence on the use experience of local users, so that the current main service cell is judged to be the over-covered cell;
the method can quickly and accurately analyze and confirm the main service cell with the over-coverage problem from the mass data through the MRO data stored in the base station, thereby facilitating technical personnel to pertinently adjust the area with the interference and interference problems, being beneficial to improving the service quality of communication service operators, and being used as an effective auxiliary means for base station arrangement, base station adjustment and signal adjustment;
it should be noted that the threshold of the over-coverage neighboring cell may be adaptively set according to local specific conditions, such as population of residents, number of cells, average distance between cells, arrangement position of the base station, and the like, which is not limited in the present invention.
Particularly, the method is particularly suitable for 5G base station over-coverage analysis, and 5G base stations are often distributed more densely in places with high population density due to the small signal range of the 5G base stations, so that an operator can find a 5G signal area with over-coverage by the method, the phenomena of island effect, frequency interference and the like are avoided, the cost of the operator for deploying the 5G base stations is reduced in an auxiliary manner, and the popularization of a 5G communication technology is promoted; on one hand, the planning construction cost is saved, and on the other hand, the 5G network construction can be rapidly implemented;
in addition, because the coverage range of the 5G base station is smaller than that of the 4G base station, the range of a main service cell of the 5G base station is also smaller, more and more dense 5G base stations need to be deployed in the range of the same area, the penetrability of the 5G signal is weaker than that of the 4G signal, and the problem of signal interference with the existing deployed 4G base station also exists, so that the room for manually detecting the signal quality of each sampling point one by one on site is not preferable, the method can be used for efficiently detecting the area with over-coverage, and the labor cost for signal detection of an operator can be greatly reduced;
on the other hand, the present invention further provides an apparatus for identifying an overlay cell based on MRO, where the apparatus for identifying an overlay cell described below and the method for identifying an overlay cell described above may be referred to each other, and specifically includes a data acquisition module, a data analysis module, an overlay neighboring cell determination module, and an overlay cell identification module, where:
the data acquisition module is used for acquiring MRO sampling data of any main service cell and a plurality of corresponding adjacent cells from a corresponding base station;
the data analysis module is used for analyzing the MRO sampling data to obtain the overlapping coverage of the current main service cell, if the overlapping coverage is larger than a preset overlapping coverage threshold, the adjacent cell corresponding to the current main service cell is an influence adjacent cell, and the number of the influence adjacent cells of the main service cell is output;
the over-coverage neighboring cell judging module is used for judging whether each affected neighboring cell is a first circle of neighboring cells of the main service cell, and outputting the number of the over-coverage neighboring cells, wherein the affected neighboring cells of the non-first circle of neighboring cells are the over-coverage neighboring cells;
and the over-coverage cell identification module acquires the number of the over-coverage neighbor cells, and if the number of the over-coverage neighbor cells of the current main service cell is greater than a preset over-coverage neighbor cell threshold value, the current main service cell is the over-coverage cell.
The present invention also provides an electronic device, which may include: the system comprises a processor (processor), a communication interface (communication interface), a memory (memory) and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus. The processor may call logic instructions in the memory to execute the MRO-based over-coverage cell identification method provided by the above methods, including the steps of:
s1, respectively acquiring MRO sampling data of any main service cell and a plurality of corresponding adjacent cells;
s2, acquiring the overlapping coverage of the current main service cell based on the MRO sampling data, if the overlapping coverage is greater than a preset overlapping coverage threshold, taking the adjacent cell corresponding to the current main service cell as an influence adjacent cell, and outputting the number of the influence adjacent cells of the main service cell;
s3, judging whether each affected adjacent cell is a first circle adjacent cell of the main service cell, and outputting the number of the over-covered adjacent cells, wherein the affected adjacent cells of the non-first circle adjacent cells are over-covered adjacent cells;
and S4, if the number of the over-coverage neighbor cells of the current main service cell is greater than a preset over-coverage neighbor cell threshold value, the current main service cell is an over-coverage cell. In addition, the logic instructions in the memory 830 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products.
Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the 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), a magnetic disk, an optical disk, or other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer readable storage medium, the computer program includes program instructions, and when the program instructions are executed by a computer, the computer can execute the MRO-based over-coverage cell identification method provided by the above methods, including the steps of:
s1, respectively acquiring MRO sampling data of any main service cell and a plurality of corresponding adjacent cells;
s2, acquiring the overlapping coverage of the current main service cell based on the MRO sampling data, if the overlapping coverage is greater than a preset overlapping coverage threshold, taking the adjacent cell corresponding to the current main service cell as an influence adjacent cell, and outputting the number of the influence adjacent cells of the main service cell;
s3, judging whether each influence neighbor cell is a first-circle neighbor cell of the main service cell, and outputting the number of the over-coverage neighbor cells, wherein the influence neighbor cells of the non-first-circle neighbor cells are over-coverage neighbor cells;
and S4, if the number of the over-coverage neighbor cells of the current main service cell is greater than the preset over-coverage neighbor cell threshold value, the current main service cell is the over-coverage cell.
In still another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, the computer program being implemented by a processor to execute the MRO-based over-coverage cell identification method provided by the above methods, including the steps of:
s1, respectively acquiring MRO sampling data of any main service cell and a plurality of corresponding adjacent cells;
s2, acquiring the overlapping coverage of the current main service cell based on the MRO sampling data, if the overlapping coverage is greater than a preset overlapping coverage threshold, taking the adjacent cell corresponding to the current main service cell as an influence adjacent cell, and outputting the number of the influence adjacent cells of the main service cell;
s3, judging whether each affected adjacent cell is a first circle adjacent cell of the main service cell, and outputting the number of the over-covered adjacent cells, wherein the affected adjacent cells of the non-first circle adjacent cells are over-covered adjacent cells;
and S4, if the number of the over-coverage neighbor cells of the current main service cell is greater than the preset over-coverage neighbor cell threshold value, the current main service cell is the over-coverage cell. The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present 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 solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An MRO-based over-coverage cell identification method is characterized by comprising the following steps:
s1, respectively acquiring MRO sampling data of any main service cell and a plurality of corresponding adjacent cells;
s2, acquiring the overlapping coverage of the current main service cell based on the MRO sampling data, if the overlapping coverage is greater than a preset overlapping coverage threshold, taking the adjacent cell corresponding to the current main service cell as an influence adjacent cell, and outputting the number of the influence adjacent cells of the main service cell;
s3, judging whether each influence neighbor cell is a first-circle neighbor cell of the main service cell, and outputting the number of the over-coverage neighbor cells, wherein the influence neighbor cells of the non-first-circle neighbor cells are over-coverage neighbor cells;
and S4, if the number of the over-coverage neighbor cells of the current main service cell is greater than a preset over-coverage neighbor cell threshold value, the current main service cell is an over-coverage cell.
2. The method according to claim 1, wherein the analyzing the MRO sample data includes:
acquiring current network working parameters, wherein the current network working parameters comprise a cell name, eNodeBID, a base station type, base station position information, CI, a base station signal frequency point, a base station antenna direction angle, a base station antenna hanging height and base station antenna transmitting power;
and acquiring the RSRP of the main service cell, the weak coverage sampling point, the adjacent cell relation of the main service cell, the RSRP of the adjacent cell sampling point and the RSRP of the overlapped coverage area.
3. The MRO-based over-coverage cell identification method according to claim 2, wherein in step S2, obtaining overlapping coverage of the plurality of neighboring cells and the current primary serving cell includes:
s201, acquiring sampling points of an adjacent cell in the MRO sampling data based on the MRO sampling data, and acquiring a first RSRP value of each sampling point;
s202, acquiring the total number of sampling points of the adjacent region based on the MR data of the adjacent region, acquiring the same overlapped sampling points and the corresponding number in the step S201, and acquiring a second RSRP value of each overlapped sampling point;
s203, acquiring a difference value between the first RSRP value and the second RSRP value of any overlapped sampling point;
s204, outputting the number of sampling points with the difference value larger than the preset RSRP difference threshold, and acquiring the overlapping coverage:
overlap coverage = number of samples with difference greater than a preset RSRP difference threshold/total number of samples x 100%.
4. The method for identifying the over-coverage cell based on the MRO as claimed in claim 3, wherein the over-coverage influence ratio of the main serving cell to the neighboring cell is obtained by:
the proportion of the over-coverage effect = number of overlapping samples/total number of samples x 100%.
5. The method as claimed in claim 4, wherein for any neighbor cell, if the ratio of the overlay effect of the corresponding primary serving cell on the neighbor cell is greater than the threshold of the preset overlay effect ratio, the distance between the neighbor cell and the corresponding primary serving cell is less than the preset distance, and the overlay coverage is greater than the threshold of the preset overlay coverage, the neighbor cell is the affected neighbor cell of the corresponding primary serving cell.
6. The MRO-based over-coverage cell identification method of claim 1, wherein determining whether each influencing neighbor cell is the first neighbor cell of the primary serving cell comprises:
for each influencing neighbor cell, acquiring the distance between the influencing neighbor cell and the main service cell;
acquiring direction angles of a main service cell and an influencing adjacent cell, and respectively acquiring included angles of a direction angle bisector and a main service cell and an influencing adjacent cell connecting line;
and sequentially judging whether the main service cell has influence neighbor cells with smaller included angles and smaller distances than those of the current influence neighbor cells from small to large according to the angle of the included angle, and if not, judging the current influence neighbor cell to be the first circle neighbor cell of the main service cell.
7. The method of claim 6, wherein the determining whether each influencing neighbor cell is the first neighbor cell of the primary serving cell comprises:
according to the distance, a plurality of distance lists influencing the adjacent cells and the main service cell are generated from large to small; according to the angle size, a plurality of angle lists influencing the adjacent cells and the main service cell are generated from large to small;
and sequentially judging whether the main service cell has an influence neighbor cell which has a smaller included angle and a smaller distance than the current influence neighbor cell according to the distance list and the angle list, and if not, judging that the current influence neighbor cell is the first circle of neighbor cell of the main service cell.
8. An apparatus for identifying an over-covered cell based on MRO, comprising:
the data acquisition module is used for acquiring MRO sampling data of any main service cell and a plurality of corresponding adjacent cells from a corresponding base station;
the data analysis module is used for analyzing the MRO sampling data, acquiring the overlapping coverage of the current main service cell, if the overlapping coverage is greater than a preset overlapping coverage threshold, taking the adjacent cell corresponding to the current main service cell as an influence adjacent cell, and outputting the number of the influence adjacent cells of the main service cell;
the over-coverage adjacent cell judging module is used for judging whether each influence adjacent cell is a first circle adjacent cell of the main service cell, and outputting the number of the over-coverage adjacent cells, wherein the influence adjacent cells of the non-first circle adjacent cells are the over-coverage adjacent cells;
and the over-coverage cell identification module acquires the number of the over-coverage neighbor cells, and if the number of the over-coverage neighbor cells of the current main service cell is greater than a preset over-coverage neighbor cell threshold value, the current main service cell is the over-coverage cell.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the MRO-based over-coverage cell identification method according to any one of claims 1 to 7.
10. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor, performs the steps of the MRO-based over-coverage cell identification method according to any one of claims 1 to 7.
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| CN115865628A (en) * | 2022-12-01 | 2023-03-28 | 中通建设股份有限公司 | Wireless communication transmission system and method based on multi-base station cooperation |
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| CN115865628A (en) * | 2022-12-01 | 2023-03-28 | 中通建设股份有限公司 | Wireless communication transmission system and method based on multi-base station cooperation |
| CN115865628B (en) * | 2022-12-01 | 2023-08-29 | 中通建设股份有限公司 | Wireless communication transmission system and method based on multi-base station cooperation |
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