CN109982365B - Antenna feeder problem checking method and device based on simulation and MRO data - Google Patents
Antenna feeder problem checking method and device based on simulation and MRO data Download PDFInfo
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Abstract
The embodiment of the invention discloses an antenna feeder problem checking method and device based on simulation and MRO data, which can improve the positioning efficiency and accuracy of the antenna feeder problem. The method comprises the following steps: performing cell rasterization rendering simulation on LTE network whole network cells based on MRO data to obtain the sampling number and the corresponding average level of each cell on a grid as a service cell, and the sampling number and the corresponding average level of adjacent cells; performing cell rasterization rendering simulation on the LTE network whole network cells based on simulation software to obtain the average level of each cell on grids; calculating the level difference value of MRO data of each cell compared with simulation data by using the sampling number and the corresponding average level of each cell on a grid as a serving cell, and the sampling number and the corresponding average level of adjacent cells and the average level of each cell on the grid; and determining the cell with the level antenna feed problem according to the level difference value.
Description
Technical Field
The embodiment of the invention relates to the field of LTE wireless networks of mobile communication, in particular to an antenna feeder problem checking method and device based on simulation and MRO data.
Background
The mobile network realizes the wireless coverage of the network through the antenna feeder system, and the antenna feeder system realizes the transmission and the reception of wireless signals, thereby ensuring that the communication service of a user has good perception. And the network carries out network simulation planning according to the electrical characteristics of the theoretical antenna feeder, and initializes the direction angle and the downward inclination angle of the antenna feeder system according to the simulation coverage result. If the antenna feeder system is aged, the problem that the coverage area of a cell is reduced can occur, and then a wireless coverage hole occurs in a network. The reduction of the level of the coverage area and the occurrence of the coverage hole lead to the deterioration of the coverage environment of the service received by the network user, and the user perception is obviously influenced. It can be seen that the problem of level attenuation caused by the antenna feeder system can cause the theoretical capacity of the cell bearer to be greatly reduced.
Aiming at the problem of an antenna feeder abnormal network, the existing means mainly obtains the network signal coverage condition by carrying out wireless network test through a terminal and determines whether a coverage hole exists. And determining whether the coverage is abnormal due to the aging of the antenna feeder or not by the comparative analysis of the area where the coverage hole exists and the original planning coverage. And meanwhile, whether an antenna feeder problem alarm exists is determined through an antenna feeder standing-wave ratio test, and the antenna feeder problem is positioned.
The problems of inaccurate positioning and low efficiency exist in the previous means. This is because most coverage problems cannot be identified by direct signal measurement or alarm measurement due to the fact that the original coverage network has signal fading but does not reach the coverage hole. In addition, if the signal fading coverage problem caused by antenna feeder abnormality cannot be quickly positioned and processed, the problems of relatively serious weakening of overall network signal coverage and insufficient deep coverage signal, which cause abnormal user service perception, can occur. The low efficiency and the hysteresis of the current antenna feeder equipment abnormity diagnosis method cause larger network coverage problem and user perception problem. The network problem can not be thoroughly solved because the order of magnitude is not enough and the chance is relatively large by directly using a probe test means.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for checking an antenna feeder problem based on simulation and MRO data, which can improve efficiency and accuracy of positioning the antenna feeder problem.
On one hand, the embodiment of the invention provides an antenna feeder problem checking method based on simulation and MRO data, which comprises the following steps:
performing cell rasterization rendering simulation on LTE network whole network cells based on MRO data to obtain the sampling number and the corresponding average level of each cell on a grid as a service cell, and the sampling number and the corresponding average level of adjacent cells;
performing cell rasterization rendering simulation on the LTE network whole network cells based on simulation software to obtain the average level of each cell on grids;
calculating the level difference value of MRO data of each cell compared with simulation data by using the sampling number and the corresponding average level of each cell on a grid as a serving cell, and the sampling number and the corresponding average level of adjacent cells and the average level of each cell on the grid;
and determining the cell with the level antenna feed problem according to the level difference value.
On the other hand, an embodiment of the present invention provides an antenna feeder problem checking device based on simulation and MRO data, including:
the simulation unit is used for carrying out cell rasterization rendering simulation on the LTE network whole network cells based on MRO data to obtain the sampling number and the corresponding average level of each cell on a grid as a service cell, and the sampling number and the corresponding average level of an adjacent cell;
the simulation unit is used for carrying out cell rasterization rendering simulation on the LTE network whole network cells based on simulation software to obtain the average level of each cell on a grid;
a calculating unit, configured to calculate, by using the number of samples of each cell on a grid as a serving cell, a corresponding average level, and the number of samples of neighboring cells, the corresponding average level, and the average level of each cell on the grid, a level difference value of MRO data of each cell compared with simulation data;
and the determining unit is used for determining the cell with the level antenna feeder problem according to the level difference value.
In a third aspect, an embodiment of the present invention provides an electronic device, including: a processor, a memory, a bus, and a computer program stored on the memory and executable on the processor;
the processor and the memory complete mutual communication through the bus;
the processor, when executing the computer program, implements the method described above.
In a fourth aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the above method.
The method and the device for checking the antenna feeder problem based on the simulation and the MRO data provided by the embodiment of the invention are used for carrying out cell rasterization rendering simulation on the LTE network whole network cells based on the MRO data to obtain the sampling number and the corresponding average level of each cell on a grid as a service cell, and the sampling number and the corresponding average level of the adjacent cells are used as well as the level difference value of MRO data of each cell compared with simulation data is calculated based on the average level of each cell on a grid, which is obtained by performing cell rasterization rendering simulation on the LTE network whole network cell by simulation software, determining a cell with a level antenna feeder problem according to the level difference value, and improving the positioning efficiency of the antenna feeder problem by comparing MRO data with simulation data in the whole scheme, wherein the time from the original 3 days of checking at the station is shortened to be within 1 hour; the data of the cell serving as the neighbor cell is also used as the cell data for checking and analyzing, so that the coverage condition of the antenna feeder of the cell can be evaluated more comprehensively, and the problem that whether the antenna feeder is different from the planning exists or not can be accurately positioned; accurate antenna feeder problem checking is carried out through the actual distribution condition of the users in the network, accurate coverage optimization is convenient to carry out, and therefore antenna coverage perception of the area where the users are located is improved to the maximum extent.
Drawings
Fig. 1 is a schematic flow chart of an embodiment of an antenna feeder problem checking method based on simulation and MRO data according to the present invention;
FIG. 2 is a schematic structural diagram of an embodiment of an antenna feeder problem checking apparatus based on simulation and MRO data according to the present invention;
fig. 3 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments, but not all embodiments, of the present invention. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present invention without any creative effort belong to the protection scope of the embodiments of the present invention.
Referring to fig. 1, the embodiment discloses an antenna feeder problem checking method based on simulation and MRO data, which includes:
s1, performing cell rasterization rendering simulation on the LTE network whole network cells based on MRO data to obtain the sampling number and the corresponding average level of each cell on a grid as a service cell, and the sampling number and the corresponding average level of an adjacent cell;
s2, performing cell rasterization rendering simulation on the LTE network whole network cells based on simulation software to obtain the average level of each cell on grids;
s3, calculating the level difference value of MRO data of each cell compared with simulation data by using the sampling number of the serving cell and the corresponding average level of each cell on the grid, and the sampling number of the adjacent cells, the corresponding average level and the average level of each cell on the grid;
and S4, determining the cell with the level antenna feed problem according to the level difference value.
It can be understood that rendering simulation based on MRO data and rendering simulation based on simulation software are both used for realizing the rendering of the coverage of the geographic signal, and for two types of rendering data, only different methods are used for coverage restoration, theoretically, restoration results of the two types of data are similar, and the restoration results of all cells have a tolerable difference. The problem can be diagnosed as antenna feeder abnormity or coverage difference when two types of data rendering results are obvious abnormity, and the problem is subjected to whole-network-level antenna feeder abnormity analysis and coverage hole rapid identification through a data analysis means, so that the processing efficiency of network antenna feeder problem diagnosis and identification is greatly improved.
The method for checking the antenna feeder problem based on simulation and MRO data provided by the embodiment of the invention comprises the steps of taking the sampling number and the corresponding average level of each cell on a grid as a service cell, and the sampling number and the corresponding average level of an adjacent cell, which are obtained by carrying out cell rasterization rendering simulation on the LTE network whole network cell based on the MRO data, and calculating the level difference value of the MRO data of each cell compared with simulation data based on the average level of each cell on the grid, which is obtained by carrying out cell rasterization rendering simulation on the LTE network whole network cell based on simulation software, and determining the cell with the level antenna feeder problem according to the level difference value, wherein the positioning efficiency of the antenna feeder problem is improved by comparing the MRO data with the simulation data in the whole scheme, and the period is shortened to be within 1 hour from 3 days checked by an original upper station; the data of the cell serving as the neighbor cell is also used as the cell data for checking and analyzing, so that the coverage condition of the antenna feeder of the cell can be evaluated more comprehensively, and the problem that whether the antenna feeder is different from the planning exists or not can be accurately positioned; accurate antenna feeder problem checking is carried out through the actual distribution condition of the users in the network, accurate coverage optimization is convenient to carry out, and therefore antenna coverage perception of the area where the users are located is improved to the maximum extent.
On the basis of the foregoing method embodiment, the performing cell rasterization rendering simulation on the LTE network whole network cells based on the MRO data to obtain the sampling number and the corresponding average level of each cell on a grid as a serving cell, and the sampling number and the corresponding average level as neighboring cells may include:
acquiring MRO data and cell basic data of the LTE network in continuous X days, wherein X is a positive integer, the MRO data is MR measurement report data stored in an xml file mode, and the cell basic data comprises longitude and latitude information of each cell;
analyzing the MRO data, and selecting first intermediate data from the analyzed data according to a mode of a serving cell and an adjacent cell pair, wherein the first intermediate data comprises time, an identifier Mrid, a serving cell ECI, an adjacent cell ECI, a serving cell RSRP, an adjacent cell RSRP, TAOA and an AOA field;
carrying out cell longitude and latitude assignment on the cell in each first intermediate data according to the cell basic data;
screening second intermediate data from the first intermediate data, wherein the second intermediate data is in units of cells, the second intermediate data of each cell comprises at least one piece of data, each piece of data comprises time, an identifier Mrid, a serving cell ECI, a neighbor cell ECI, a serving cell RSRP, a neighbor cell RSRP, longitude and latitude fields, and the serving cell or the neighbor cell in each piece of data is the cell:
removing the duplicate of the second intermediate data by taking the identifier Mrid as a unique mark to obtain third intermediate data;
summarizing the third intermediate data according to a preset grid system to obtain data summarizing information of each cell, wherein the grid system comprises at least one grid with a preset size, the coverage area of the whole LTE network cell is within the range covered by the grid, the data summarizing information of each cell comprises at least one piece of data, the number of the at least one piece of data is equal to the number of the grids covered by the cell, and each piece of data comprises an identifier of one grid covered by the cell, the cell ECI of the cell, the sampling number of the cell as a serving cell in the grid, the sampling number of the cell as an adjacent cell in the grid, the average level of the cell as a serving cell on the grid, and the average level of the cell as an adjacent cell on the grid;
the calculating, by using the number of samples of each cell on the grid as a serving cell, the corresponding average level, and the number of samples of neighboring cells, the corresponding average level, and the average level of each cell on the grid, a level difference value of MRO data of each cell compared with simulation data may include:
and calculating the level difference value of the MRO data of each cell compared with the simulation data by using the data summary information of each cell and the average level of each cell on the grid.
In this embodiment, it should be noted that the MR measurement report data of the user may be collected, and the measurement report data is reported to the network management system in an xml file manner for storage, and when it needs to be used, the MRO data is obtained from the network management system. And if a plurality of adjacent cells exist in the serving cell, the first intermediate data is recorded and displayed in a plurality of rows. When performing the longitude and latitude assignment of the cell, the specific longitude and latitude of the cell may be determined according to the antenna feeder direction angle of the cell, TAOA field information and AOA field information included in the first intermediate data corresponding to the cell, and the longitude and latitude information of the cell in the cell basic data.
Suppose that the cell cellA determines the second intermediate data shown in the following table according to the method described in this embodiment:
as shown in the above table, all the related information of the cell as the serving cell and the cell as the neighbor cell have been completed. And summarizing the information according to the identifier Mrid serving as a unique mark, and removing the weight of the cellA cell. And after the data deduplication is finished, obtaining third intermediate data corresponding to the cellA, namely the cellA is used as a measurement report and corresponding longitude and latitude information of the serving cell, and the cellA is used as a measurement report and corresponding longitude and latitude information of the neighboring cell.
Then, the third intermediate data corresponding to the cellA needs to be summarized according to a preset grid (for example, a grid with a size of 50m × 50 m), and specific data contents may be shown in the following table:
according to the data, the data summary information corresponding to the cellA cell can be obtained, that is, the identifier of the grid covered by the cellA cell, the cell ECI of the cellA cell, the average level information of the cellA cell on the grid as the serving cell, the sampling number of the cellA cell as the serving cell in the grid, the average level information of the cellA cell on the grid as the neighbor cell, and the sampling number of the cellA cell as the neighbor cell in the grid.
In the embodiment, the geographic positioning of each MR measurement report is realized by performing correlation analysis on the MR measurement report data and the basic data with the longitude and latitude information of the cell, the summary analysis of mass data is realized by a big data means, and the level coverage geographic rendering is realized in a grid mode, so that the wireless coverage simulation of the cell level based on the actual measurement report of a user is comprehensively restored.
On the basis of the foregoing method embodiment, the performing, by the simulation software, cell rasterization rendering simulation on the LTE network whole-network cell to obtain an average level of each cell on a grid may include:
performing cell-level network coverage wireless environment simulation on the LTE network whole network cells by applying simulation software to obtain level simulation data of at least one point in the coverage range of each cell, wherein the level simulation data comprises ECI (equal cost indicator), simulation point level RSRP (reference signal received power), longitude and latitude of the cell;
acquiring filling data of each cell by performing geographical grid information filling on the level simulation data by using the grid system, wherein the filling data of each cell comprises at least one piece of data, the number of the at least one piece of data is equal to the number of grids covered by the cell, each piece of data comprises an identifier of one grid covered by the cell, a cell ECI of the cell and a simulated average level of the cell, and the simulated average level of the cell is an average value of simulated point levels RSRP of the cell in the grids;
and summarizing the filling data of each cell to obtain the average level of each cell on the grid, wherein the average level of each cell on the grid comprises the simulated average level corresponding to the cell.
Based on the foregoing method embodiments, the calculation formula of the level difference value T of each cell is as follows
Wherein S is the number of grids covered by the cell, FZRSRPkFor the simulated average level corresponding to the k-th grid covered by the cell, MRScRSRPkMRNcRSRP, the average level of serving cells for that cell on the k-th gridkFor the average level of this cell as neighbor cell on the k-th grid, ScRkNumber of samples in the k-th grid for this cell as serving cell, NcRkIn order to obtain the number of samples of the cell in the k-th grid as a neighbor cell, sclall is the sum of the number of samples of the cell in all grids as a serving cell, NcRall is the sum of the number of samples of the cell in all grids as neighbor cells, a is the sampling coefficient of the cell as the serving cell, b is the sampling coefficient of the cell as the neighbor cells, and b is 1-a.
In the present embodiment, a < 1, which may be generally set to 0.8, and b may be set to 0.2. And performing weighted level difference calculation according to the actual user sampling point weight and the simulation data in each positioning grid of the MRO data, so that the problem of network antenna feeder can be truly reflected.
On the basis of the foregoing method embodiment, the determining, according to the level difference value, a cell with a level antenna feed problem may include:
for each cell to be evaluated, judging whether the level difference value corresponding to the cell to be evaluated is larger than a preset value; if the level difference value corresponding to the cell to be evaluated is larger than the preset value, judging whether the ranking of the level difference value corresponding to the cell to be evaluated in the corresponding level difference value ranking result is within a first ratio, wherein the level difference value ranking result is obtained by ranking the level difference values corresponding to all the cells under the antenna feeder type of the cell to be evaluated from large to small;
and if the level difference value corresponding to the cell to be evaluated is within the previous first ratio, determining that the cell to be evaluated is the cell with the level antenna feed problem.
In this embodiment, the value of the preset value may be 5db, and the value of the first ratio may be 5%, although these two parameters may also be set to other values, which is not described herein again.
The invention is further explained below on the basis of practical application cases:
supposing that antenna feeder check needs to be carried out on an inner Mongolia call and a great new city cell M, and data summary information obtained after cell rasterization rendering simulation is shown in the following table:
the simulation data for this cell M is as follows:
the level difference of the cell M is calculated according to the coefficients a being 0.7 and b being 0.3, and the result is as follows:
it can be seen that the level difference value of the cell M is large and reaches 7.52dB, and meanwhile, in the same type of antenna feeders of the cells, the level difference ranking of the cell is within 5%. Through inspection, the cell antenna feeder has the problem of larger coverage difference with the design.
After the antenna feeder is replaced for the cell, the whole cell coverage is obviously improved. After the examination, the difference between the simulation data and the MR positioning data is 0.37dB, and the simulation data and the MR positioning data belong to a normal fluctuation range.
Referring to fig. 2, the present embodiment discloses an antenna feeder problem checking apparatus based on simulation and MRO data, including:
the simulation unit 1 is configured to perform cell rasterization rendering simulation on LTE network whole-network cells based on MRO data to obtain the sampling number and the corresponding average level of each cell on a grid as a serving cell, and the sampling number and the corresponding average level of an adjacent cell;
the simulation unit 2 is used for performing cell rasterization rendering simulation on the LTE network whole network cells based on simulation software to obtain the average level of each cell on a grid;
a calculating unit 3, configured to calculate, by using the number of samples of each cell on the grid as a serving cell, a corresponding average level, and the number of samples of neighboring cells, the corresponding average level, and the average level of each cell on the grid, a level difference value of MRO data of each cell compared with simulation data;
and the determining unit 4 is used for determining the cell with the level antenna feeder problem according to the level difference value.
Specifically, the simulation unit 1 performs cell rasterization rendering simulation on cells of the entire LTE network based on MRO data to obtain the sampling number and the corresponding average level of each cell on a grid as a serving cell, and the sampling number and the corresponding average level as adjacent cells; the simulation unit 2 performs cell rasterization rendering simulation on the LTE network whole network cells based on simulation software to obtain the average level of each cell on a grid; the calculating unit 3 calculates a level difference value of MRO data of each cell compared with simulation data by using the sampling number of each cell on a grid as a serving cell, a corresponding average level, and the sampling number of adjacent cells, the corresponding average level, and the average level of each cell on the grid; the determining unit 4 determines the cell with the level antenna feeder problem according to the level difference value.
The simulation and MRO data-based antenna feeder problem checking device provided by the embodiment of the invention is characterized in that the sampling number and the corresponding average level of each cell on a grid, which are obtained by performing cell rasterization rendering simulation on LTE network whole network cells based on MRO data, are used as a service cell on the grid, and are used as the sampling number and the corresponding average level of adjacent cells, and the average level of each cell on the grid, which is obtained by performing cell rasterization rendering simulation on the LTE network whole network cells based on simulation software, is used for calculating the level difference value of MRO data of each cell compared with simulation data, and determining the cell with a level antenna feeder problem according to the level difference value, wherein the positioning efficiency of the antenna feeder problem is improved by comparing the MRO data with the simulation data in the whole scheme, and the period is shortened to be within 1 hour from 3 days checked by an original upper station; the data of the cell serving as the neighbor cell is also used as the cell data for checking and analyzing, so that the coverage condition of the antenna feeder of the cell can be evaluated more comprehensively, and the problem that whether the antenna feeder is different from the planning exists or not can be accurately positioned; accurate antenna feeder problem checking is carried out through the actual distribution condition of the users in the network, accurate coverage optimization is convenient to carry out, and therefore antenna coverage perception of the area where the users are located is improved to the maximum extent.
On the basis of the foregoing device embodiment, the simulation unit may be specifically configured to:
acquiring MRO data and cell basic data of the LTE network in continuous X days, wherein X is a positive integer, the MRO data is MR measurement report data stored in an xml file mode, and the cell basic data comprises longitude and latitude information of each cell;
analyzing the MRO data, and selecting first intermediate data from the analyzed data according to a mode of a serving cell and an adjacent cell pair, wherein the first intermediate data comprises time, an identifier Mrid, a serving cell ECI, an adjacent cell ECI, a serving cell RSRP, an adjacent cell RSRP, TAOA and an AOA field;
carrying out cell longitude and latitude assignment on the cell in each first intermediate data according to the cell basic data;
screening second intermediate data from the first intermediate data, wherein the second intermediate data is in units of cells, the second intermediate data of each cell comprises at least one piece of data, each piece of data comprises time, an identifier Mrid, a serving cell ECI, a neighbor cell ECI, a serving cell RSRP, a neighbor cell RSRP, longitude and latitude fields, and the serving cell or the neighbor cell in each piece of data is the cell:
removing the duplicate of the second intermediate data by taking the identifier Mrid as a unique mark to obtain third intermediate data;
summarizing the third intermediate data according to a preset grid system to obtain data summarizing information of each cell, wherein the grid system comprises at least one grid with a preset size, the coverage area of the whole LTE network cell is within the range covered by the grid, the data summarizing information of each cell comprises at least one piece of data, the number of the at least one piece of data is equal to the number of the grids covered by the cell, and each piece of data comprises an identifier of one grid covered by the cell, the cell ECI of the cell, the sampling number of the cell as a serving cell in the grid, the sampling number of the cell as an adjacent cell in the grid, the average level of the cell as a serving cell on the grid, and the average level of the cell as an adjacent cell on the grid;
the computing unit may be specifically configured to:
and calculating the level difference value of the MRO data of each cell compared with the simulation data by using the data summary information of each cell and the average level of each cell on the grid.
In the embodiment, the geographic positioning of each MR measurement report is realized by performing correlation analysis on the MR measurement report data and the basic data with the longitude and latitude information of the cell, the summary analysis of mass data is realized by a big data means, and the level coverage geographic rendering is realized in a grid mode, so that the wireless coverage simulation of the cell level based on the actual measurement report of a user is comprehensively restored.
The simulation and MRO data-based antenna feeder problem checking apparatus of this embodiment may be used to implement the technical solutions of the foregoing method embodiments, and the implementation principle and technical effect thereof are similar, and are not described herein again.
Fig. 3 is a schematic entity structure diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 3, the electronic device may include: a processor 11, a memory 12, a bus 13, and a computer program stored on the memory 12 and executable on the processor 11;
the processor 11 and the memory 12 complete mutual communication through the bus 13;
when the processor 11 executes the computer program, the method provided by the foregoing method embodiments is implemented, for example, including: performing cell rasterization rendering simulation on LTE network whole network cells based on MRO data to obtain the sampling number and the corresponding average level of each cell on a grid as a service cell, and the sampling number and the corresponding average level of adjacent cells; performing cell rasterization rendering simulation on the LTE network whole network cells based on simulation software to obtain the average level of each cell on grids; calculating the level difference value of each cell by using the sampling number of the serving cell and the corresponding average level of each cell on the grid, and the sampling number of the adjacent cells, the corresponding average level and the average level of each cell on the grid; and determining the cell with the level antenna feed problem according to the level difference value.
An embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method provided by the foregoing method embodiments, and for example, the method includes: performing cell rasterization rendering simulation on LTE network whole network cells based on MRO data to obtain the sampling number and the corresponding average level of each cell on a grid as a service cell, and the sampling number and the corresponding average level of adjacent cells; performing cell rasterization rendering simulation on the LTE network whole network cells based on simulation software to obtain the average level of each cell on grids; calculating the level difference value of each cell by using the sampling number of the serving cell and the corresponding average level of each cell on the grid, and the sampling number of the adjacent cells, the corresponding average level and the average level of each cell on the grid; and determining the cell with the level antenna feed problem according to the level difference value.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element. The terms "upper", "lower", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience in describing the present invention and simplifying the description, but do not indicate or imply that the referred devices or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Unless expressly stated or limited otherwise, the terms "mounted," "connected," and "connected" are intended to be inclusive and mean, for example, that they may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the description of the present invention, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description. Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention is not limited to any single aspect, nor is it limited to any single embodiment, nor is it limited to any combination and/or permutation of these aspects and/or embodiments. Moreover, each aspect and/or embodiment of the present invention may be utilized alone or in combination with one or more other aspects and/or embodiments thereof.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (8)
1. An antenna feeder problem checking method based on simulation and MRO data is characterized by comprising the following steps:
performing cell rasterization rendering simulation on LTE network whole network cells based on MRO data to obtain the sampling number and the corresponding average level of each cell on a grid as a service cell, and the sampling number and the corresponding average level of adjacent cells;
performing cell rasterization rendering simulation on the LTE network whole network cells based on simulation software to obtain the average level of each cell on grids;
calculating the level difference value of MRO data of each cell compared with simulation data by using the sampling number and the corresponding average level of each cell on a grid as a serving cell, and the sampling number and the corresponding average level of adjacent cells and the average level of each cell on the grid;
determining a cell with a level antenna feeder problem according to the level difference value;
the method for simulating cell rasterization rendering of the LTE network whole network cells based on the MRO data to obtain the sampling number and the corresponding average level of each cell serving as a service cell on a grid, and the sampling number and the corresponding average level of adjacent cells includes:
acquiring MRO data and cell basic data of the LTE network in continuous X days, wherein X is a positive integer, the MRO data is MR measurement report data stored in an xml file mode, and the cell basic data comprises longitude and latitude information of each cell;
analyzing the MRO data, and selecting first intermediate data from the analyzed data according to a mode of a serving cell and an adjacent cell pair, wherein the first intermediate data comprises time, an identifier Mrid, a serving cell ECI, an adjacent cell ECI, a serving cell RSRP, an adjacent cell RSRP, TAOA and an AOA field;
carrying out cell longitude and latitude assignment on the cell in each first intermediate data according to the cell basic data;
screening second intermediate data from the first intermediate data, wherein the second intermediate data is in units of cells, the second intermediate data of each cell comprises at least one piece of data, each piece of data comprises time, an identifier Mrid, a serving cell ECI, a neighbor cell ECI, a serving cell RSRP, a neighbor cell RSRP, longitude and latitude fields, and the serving cell or the neighbor cell in each piece of data is the cell:
removing the duplicate of the second intermediate data by taking the identifier Mrid as a unique mark to obtain third intermediate data;
summarizing the third intermediate data according to a preset grid system to obtain data summarizing information of each cell, wherein the grid system comprises at least one grid with a preset size, the coverage area of the whole LTE network cell is within the range covered by the grid, the data summarizing information of each cell comprises at least one piece of data, the number of the at least one piece of data is equal to the number of the grids covered by the cell, and each piece of data comprises an identifier of one grid covered by the cell, the cell ECI of the cell, the sampling number of the cell as a serving cell in the grid, the sampling number of the cell as an adjacent cell in the grid, the average level of the cell as a serving cell on the grid, and the average level of the cell as an adjacent cell on the grid;
wherein, the calculating the level difference value of the MRO data of each cell compared with the simulation data by using the sampling number of each cell on the grid as the serving cell, the corresponding average level, and the sampling number of the neighboring cells, the corresponding average level, and the average level of each cell on the grid includes:
and calculating the level difference value of the MRO data of each cell compared with the simulation data by using the data summary information of each cell and the average level of each cell on the grid.
2. The method according to claim 1, wherein the specific longitude and latitude of the cell are determined according to the antenna feeder directional angle of the cell, TAOA field information and AOA field information included in the first intermediate data corresponding to the cell, and the longitude and latitude information of the cell in the cell basic data.
3. The method of claim 1, wherein the simulating software-based cell rasterization rendering simulation of the LTE network-wide cells to obtain the average level of each cell on a grid comprises:
performing cell-level network coverage wireless environment simulation on the LTE network whole network cells by applying simulation software to obtain level simulation data of at least one point in the coverage range of each cell, wherein the level simulation data comprises ECI (equal cost indicator), simulation point level RSRP (reference signal received power), longitude and latitude of the cell;
acquiring filling data of each cell by performing geographical grid information filling on the level simulation data by using the grid system, wherein the filling data of each cell comprises at least one piece of data, the number of the at least one piece of data is equal to the number of grids covered by the cell, each piece of data comprises an identifier of one grid covered by the cell, a cell ECI of the cell and a simulated average level of the cell, and the simulated average level of the cell is an average value of simulated point levels RSRP of the cell in the grids;
and summarizing the filling data of each cell to obtain the average level of each cell on the grid, wherein the average level of each cell on the grid comprises the simulated average level corresponding to the cell.
4. The method of claim 3, wherein the level difference value T for each cell is calculated by
Wherein S is the number of grids covered by the cell, FZRSRPkFor the simulated average level corresponding to the k-th grid covered by the cell, MRScRSRPkMRNcRSRP, the average level of serving cells for that cell on the k-th gridkFor the average level of this cell as neighbor cell on the k-th grid, ScRkNumber of samples in the k-th grid for this cell as serving cell, NcRkThe sampling number of the cell as a neighbor cell in the k-th grid is ScRall, the sum of the sampling numbers of the cell as a serving cell in all grids is ScRall, the sum of the sampling numbers of the cell as the neighbor cell in all grids is NCrall, a is the sampling coefficient of the cell as the serving cell, b is the sampling coefficient of the cell as the neighbor cell, and b is 1-a.
5. The method of claim 1, wherein the determining the cell with the level antenna feed problem according to the level difference value comprises:
for each cell to be evaluated, judging whether the level difference value corresponding to the cell to be evaluated is larger than a preset value; if the level difference value corresponding to the cell to be evaluated is larger than the preset value, judging whether the ranking of the level difference value corresponding to the cell to be evaluated in the corresponding level difference value ranking result is within a first ratio, wherein the level difference value ranking result is obtained by ranking the level difference values corresponding to all the cells under the antenna feeder type of the cell to be evaluated from large to small;
and if the level difference value corresponding to the cell to be evaluated is within the previous first ratio, determining that the cell to be evaluated is the cell with the level antenna feed problem.
6. An antenna feeder problem checking device based on simulation and MRO data is characterized by comprising:
the simulation unit is used for carrying out cell rasterization rendering simulation on the LTE network whole network cells based on MRO data to obtain the sampling number and the corresponding average level of each cell on a grid as a service cell, and the sampling number and the corresponding average level of an adjacent cell;
the simulation unit is used for carrying out cell rasterization rendering simulation on the LTE network whole network cells based on simulation software to obtain the average level of each cell on a grid;
a calculating unit, configured to calculate, by using the number of samples of each cell on a grid as a serving cell, a corresponding average level, and the number of samples of neighboring cells, the corresponding average level, and the average level of each cell on the grid, a level difference value of MRO data of each cell compared with simulation data;
the determining unit is used for determining the cell with the level antenna feeder problem according to the level difference value;
wherein, the analog unit is specifically configured to:
acquiring MRO data and cell basic data of the LTE network in continuous X days, wherein X is a positive integer, the MRO data is MR measurement report data stored in an xml file mode, and the cell basic data comprises longitude and latitude information of each cell;
analyzing the MRO data, and selecting first intermediate data from the analyzed data according to a mode of a serving cell and an adjacent cell pair, wherein the first intermediate data comprises time, an identifier Mrid, a serving cell ECI, an adjacent cell ECI, a serving cell RSRP, an adjacent cell RSRP, TAOA and an AOA field;
carrying out cell longitude and latitude assignment on the cell in each first intermediate data according to the cell basic data;
screening second intermediate data from the first intermediate data, wherein the second intermediate data is in units of cells, the second intermediate data of each cell comprises at least one piece of data, each piece of data comprises time, an identifier Mrid, a serving cell ECI, a neighbor cell ECI, a serving cell RSRP, a neighbor cell RSRP, longitude and latitude fields, and the serving cell or the neighbor cell in each piece of data is the cell:
removing the duplicate of the second intermediate data by taking the identifier Mrid as a unique mark to obtain third intermediate data;
summarizing the third intermediate data according to a preset grid system to obtain data summarizing information of each cell, wherein the grid system comprises at least one grid with a preset size, the coverage area of the whole LTE network cell is within the range covered by the grid, the data summarizing information of each cell comprises at least one piece of data, the number of the at least one piece of data is equal to the number of the grids covered by the cell, and each piece of data comprises an identifier of one grid covered by the cell, the cell ECI of the cell, the sampling number of the cell as a serving cell in the grid, the sampling number of the cell as an adjacent cell in the grid, the average level of the cell as a serving cell on the grid, and the average level of the cell as an adjacent cell on the grid;
wherein the computing unit is configured to:
and calculating the level difference value of the MRO data of each cell compared with the simulation data by using the data summary information of each cell and the average level of each cell on the grid.
7. An electronic device, comprising: a processor, a memory, a bus, and a computer program stored on the memory and executable on the processor;
the processor and the memory complete mutual communication through the bus;
the processor, when executing the computer program, implements the method of any of claims 1-5.
8. A non-transitory computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when executed by a processor, implements the method of any one of claims 1-5.
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| CN112203318B (en) * | 2020-10-20 | 2023-07-14 | 中国联合网络通信集团有限公司 | Network coverage analysis method and device |
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