CN113993063A - Method, device and storage medium for improving accuracy of base station specific area information - Google Patents
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Abstract
The present disclosure provides a method, apparatus, and storage medium for improving accuracy of base station specific area information. The method for improving the accuracy of the information of the specific area of the base station comprises a determining step of determining the boundary range of the specific area of the base station; a determination step of determining a base station cell to be added to a base station specific area based on the position information in the communication big data; an updating step of updating a specific time field related to a base station cell which is determined to be added to the base station specific area in the base station specific area information; and an excluding step of excluding redundant data and/or mismatch data according to the specific time field.
Description
Technical Field
The present disclosure relates to a method, an apparatus, and a storage medium for improving accuracy of specific area information, and more particularly, to a method, an apparatus, and a storage medium for improving accuracy of specific area information of a base station in the field of mobile communication.
Background
In the process of developing mobile phone users, telecom operators can introduce some preferential policies to attract users. For example, when a user who develops in the university campus a uses a mobile phone to surf the internet or makes a call in the university campus, the user may give a certain special treatment on network data usage, charging, and the like, and for example, the user may give a certain preference to charging and the like without calculating network data traffic for access to a specific website.
Typically, a telecommunications carrier will define a code to represent this particular processing area, also known as a group code. As shown in the following table: 21388 of table 1 represents a college regional traffic offer group.
TABLE 1
The operator needs to add the existing network wireless base stations in the university campus and around to the specific area of the base station, where the base station code (ECI for short) in the table is used to represent a base station cell, and consists of a base station number ENODEBID and a cell number CELLID, where the first 5 bits are ENODEBID (hexadecimal), the last two bits are CELLID (hexadecimal), and the code is unique in the whole network. When a user makes a call or surfs the internet in the base station cells, statistics and the like of communication data of the user are specially processed, so that the user can enjoy expense preference, flow preference and the like. Of course, the base station specific area is not limited to the range of the traffic preference, and may be other ranges having commonality, and users in the base station specific area may be collectively subjected to special processing for communication data.
Telecommunication operators generally introduce a plurality of preferential policies, which means that there will be a plurality of group codes, a base station specific area will contain a plurality of base station cells, and a base station cell can belong to a plurality of base station specific areas. The data is stored in the specific department of the operator, and the corresponding department can specially process the call or the internet ticket of the user according to the specific area information of the base stations. The updating and maintenance of this "base station specific area information" data needs to be done by the mobile communication department of the operator, since it is only clear "which base station cells need to join which base station specific areas" to the colleagues that the mobile communication department is specifically responsible for mobile network maintenance and optimization.
At present, colleagues in the mobile communication department usually know the base station cell which needs to be added into a certain base station specific area to a specific department such as an accounting department according to their working experiences and the base station position and surrounding environment when updating and maintaining the data. At present, a plurality of departments, such as base station maintenance, design institute, wireless network and the like, related to mobile communication update the data, and the data are completed manually and by field experience, so that the missing and mismatching of a base station specific area of a base station cell are inevitable. For example: due to the uncertainty of the mobile signal, a part of the base stations with far positions may also cover the campus, so that the cell of the part of the base stations with far positions does not join the specific area of the base station. For another example: in the 5G co-construction sharing process of telecommunication communication, the base station numbers of part of 4G single anchor point base stations need to be re-planned, the ECI of a plurality of 4G base station cells need to be changed into the base station numbers special for the shared base stations, new ECI needs to be added into a specific area of the base station in time, and the ECI of the cell which is not used needs to be deleted from the specific area of the original base station. In practice, the already unused cell ECI is not generally removed from the original base station specific area by the staff of these departments. Over time, a large amount of redundant data will be formed.
Disclosure of Invention
The following presents a simplified summary of the disclosure in order to provide a basic understanding of some aspects of the disclosure. However, it should be understood that this summary is not an exhaustive overview of the disclosure. It is not intended to identify key or critical elements of the disclosure or to delineate the scope of the disclosure. Its sole purpose is to present some concepts of the disclosure in a simplified form as a prelude to the more detailed description that is presented later.
However, inaccuracy of the base station specific area information will cause the following problems.
The base station specific area of the base station cell is missed. When users use the base station cells to make calls or surf the internet, special treatment cannot be carried out, so that due data volume reduction, price preference and the like cannot be enjoyed, charging disputes are caused, and reasonable complaints can be carried out by careful users, so that negative effects are brought to telecom operators.
Base station specific area information mismatch. Cells of base stations that should not join the base station specific area are also joined, which is mismatching data. If the user makes a call or surfs the internet on these base stations, the user cannot charge the fee, which causes unnecessary loss of the income of the telecommunication service.
A base station specific area generates redundant data. If a large amount of redundant data of the specific area of the base station exists in the database, for example, when a department performing special processing analyzes and processes communication data by using the information of the specific area of the base station, the calculation amount of the server is greatly increased.
The present disclosure is made to solve the above problems, and an object of the present disclosure is to provide a method for determining a specific area, which automatically identifies a specific area of a base station to which a cell of the base station should be added by using working parameter data, MR wireless big data, and the like in a mobile network, thereby automatically finding missing data, mismatching data, and redundant data in the specific area of the base station, and thereby greatly improving the accuracy of information of the specific area of the base station.
The present disclosure provides a method for improving accuracy of information in a specific area of a base station, comprising:
a determining step of determining a boundary range of a specific area of a base station;
a determination step of determining a base station cell to be added to a base station specific area based on the position information in the communication big data;
an updating step of updating a specific time field related to a base station cell which is determined to be added to the base station specific area in the base station specific area information; and
and an excluding step of excluding the redundant data and/or the mismatch data according to the specific time field.
The present disclosure provides an apparatus, characterized in that the apparatus comprises:
one or more processors;
a memory for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the aforementioned method of improving accuracy of base station specific area information.
The present disclosure provides a storage medium storing a computer program, wherein the program, when executed by a processor, implements the aforementioned method of improving the accuracy of base station specific area information.
According to the method, through the use of the working parameter data and/or the MR wireless big data in the mobile network, the latitude and longitude information of the base station cell and the latitude and longitude reported by the user terminal are skillfully utilized, the boundary area of the specific area of the base station is combined, the base station cell needing to be added into the specific area of the base station in the whole network is found, and the mismatching data and the redundant data are found according to the updating time. Therefore, the specific area of the base station, which should be added into the base station cell, is automatically identified, so that the missing data, the mismatching data and the redundant data in the specific area of the base station are automatically found, and the accuracy of the information of the specific area of the base station is greatly improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description, serve to explain the principles of the disclosure.
The present disclosure may be more clearly understood from the following detailed description with reference to the accompanying drawings, in which:
fig. 1 is a flowchart of a method for improving accuracy of specific area information based on big data according to the present embodiment.
Fig. 2 is a diagram illustrating the definition for a specific area of a base station.
Fig. 3 is a schematic diagram showing the principle of judging whether a point is within an irregular polygon according to latitude and longitude.
Fig. 4 is a schematic diagram showing a determination of whether a cell is within a predetermined area based on a rectangular area.
Fig. 5 is a schematic diagram of the result of a base station determination in an actual base station specific area using a determination method based on a rectangular area.
Fig. 6 is a flowchart showing a procedure of determining a base station cell to be added to a base station specific area based on position information such as latitude and longitude in the present network parameters.
Fig. 7 is a schematic diagram showing a base station outside a specific area of the base station.
FIG. 8 is a schematic diagram of an MRO file.
Fig. 9 is a flowchart showing a procedure of determining whether or not it is a base station cell that should join a base station specific area using MR big data.
Fig. 10 is a flowchart illustrating the discovery of redundant data and/or mismatched data according to the "update time".
Detailed Description
Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
First, fig. 1 is a flowchart of a method for improving accuracy of specific area information based on big data according to the present embodiment. An embodiment of the present invention will be described with reference to fig. 1.
In step S1 in fig. 1, the boundary range of the base station specific area is determined.
A brief description is given of how to define a base station specific area. In general, when defining a specific area of a base station, it is usually explained that the general range of the specific area of the base station, for example, in fig. 1, the inner circle formed by the thick coil is a boundary area of a altitude correction, and the radius of the specific area of the base station needs to be set larger than the boundary, for example, about 1000-. In fig. 2, the outer circle encircled by a thick line is the base station specific area range of the university a, and it can be seen that the base station specific area range is an irregular circle on the map. Of course, the coverage area of the base station may be different for different geographic environments, the range of the specific area of the base station may be expanded a little more, but not expanded without limitation, otherwise some unnecessary base stations may be added to the specific area of the base station, resulting in unnecessary loss of revenue of the operator service.
Next, after the boundary range of the base station specific area is determined, in step S2, a base station cell that should join the base station specific area is determined based on the position information in the communication big data. Then, the process proceeds to step S3. A specific time field related to a base station cell which is determined to be added to the base station specific area in the base station specific area information is updated. Next, the flow proceeds to step S4. In step S4, redundant data and/or mismatch data are excluded according to the specific time field. By doing so, the missing data, the mismatching data and the redundant data in the specific area of the base station can be automatically, efficiently and with high accuracy unlike the prior art, thereby greatly improving the accuracy of the information of the specific area of the base station.
Hereinafter, step S2 will be described in detail. Specifically, how to determine the base station cell to be added to the base station specific area based on the position information in the communication big data will be described in detail.
In the present embodiment, a base station cell that needs to join a base station specific area in the whole network is found according to the existing network parameters. The current network engineering parameters are data frequently used in the mobile communication industry, and comprise information such as base station numbers, cell numbers, longitude and latitude, azimuth angles and the like of base station cells. Which base station cells are within the boundary range of the base station specific area can be calculated according to the latitude and longitude information of the base station cells of the whole network. Fig. 3 shows a schematic diagram of the determination of whether a point is within an irregular polygon according to latitude and longitude. And sending an arbitrary ray from the point P, and judging whether the point is in the irregular polygon according to the number of intersection points of the ray and all edges of the polygon. Specifically, after research, if the number of intersections between the ray and all sides of the polygon is an odd number of intersections, it is determined that the point P is inside the polygon. And if the number of intersections of the ray with all edges of the polygon is an even number of intersections, then the description is outside the polygon. In fig. 3, since the number of intersections of the polygon with the rays from the Q point is even, it can be determined that the Q point is outside the polygon. It is only necessary to determine whether this point is within the region by counting the number of intersections.
However, in general, the number of cells in the current network is large, and it is not necessary to perform such calculation for all base station cells. As shown in fig. 4, the minimum longitude value, the maximum longitude value, the minimum latitude value, and the maximum latitude value may be found according to the longitude and latitude of the polygon boundary, and they form a rectangle. Then those cells with longitude between the minimum longitude value and the maximum longitude value and latitude between the minimum latitude value and the maximum latitude value are inquired in the current network engineering parameters for judgment. Fig. 4 is a schematic diagram showing all base stations to be judged existing in this rectangle. The introduction of a rectangular area enables very fast calculations. This calculation can be done directly through SQL statements.
Fig. 5 is a schematic diagram of the result of a base station determination in an actual base station specific area using a determination method based on a rectangular area. In fig. 5, it can be seen that a plurality of base stations are identified in the boundary range of the base station specific area at the outermost circle, and the base stations are all located in the boundary range of the base station specific area, obviously, the base station cells all need to be added into the base station specific area, and when the user in the university uses the base station cells in the figure to surf the internet and talk, the communication data and the like of the user should be specially processed, for example, the user can enjoy the premium benefits and the like. If these base station cells are already within the current base station specific area information, the "joining time" needs to be updated to the current time. For example as shown in table 2 below. Wherein the first three base stations are in the current base station specific area, so their joining time is updated to the current time.
TABLE 2
A procedure of determining a base station cell to be added to a base station specific area based on location information such as latitude and longitude in the current network configuration will be described with reference to fig. 6.
In step S21, a rectangular area is established according to the maximum minimum longitude and latitude on the boundary range of the base station specific area determined in step S1.
In step S22, the longitude and latitude of the base station cell itself in the working parameter data are acquired. Then, in step S23, it is determined whether the base station cell is within the rectangular area according to the obtained longitude and latitude of the base station cell itself. If it is determined that the cell is within the rectangular area, the process proceeds to step S24, and if it is determined that the cell is not within the rectangular area, the process proceeds to step S26, where the process proceeds to the next base station cell.
In step S24, it is further determined whether the base station cell should be within the geographical range of the base station specific area. The determination can be made in accordance with the principles illustrated in fig. 3, which have been described previously. When it is determined that the base station cell should be within the geographical range of the base station specific area, the process proceeds to step S25. When it is determined that the base station cell should not be within the geographical range of the base station specific area, the flow proceeds to step S26, and the next base station cell is processed.
In step S25, it is determined whether the base station cell is already in the base station specific area information. The format of the base station specific area information may be as shown in table 1. When it is determined that the base station cell is already in the base station specific area information, the flow proceeds to step S3. And when it is determined in step S25 that the base station cell is not in the base station specific area information, proceeds to step S27. In step S27, the current base station cell is added to the base station specific area information, and then the flow proceeds to step S4.
The above is a method of determining a base station cell to be added to a base station specific area based on location information such as longitude and latitude in the current network configuration.
In addition, in an actual existing network, it is found that if the relative physical location of the surrounding base stations is high, for example, on a high building or a high mountain, the base stations can cover their signals into the area of the colleges even if the base stations are located far from the colleges. This situation is illustrated in fig. 7. It is obvious that these base station cells also need to be added to the base station specific area. A method of identifying the base station included in this case and adding the base station specific area information will be described.
Here, a method of determining a base station cell to be added to a base station specific area from MR data is employed.
First, the definition of MR data will be explained. MR data is some information exchanged between a base station and user equipment (UE for short), such as a mobile phone, through signaling, and the UE reports the signal conditions of the current serving cell and the neighboring cell to the base station through the MR data. MR files have three formats: MRO, MRE, and MRS. The MRO is a process in which the base station periodically collects the signal quality of the serving cell and the neighboring cell of each UE that maintains a connection with the current base station. FIG. 8 is a schematic diagram of an MRO file. From fig. 8, it can be seen that the base station number ENODEBID currently occupied by the UE, the cell number information CELLID, the signal strength, and other information, and some UEs also report the latitude and longitude information of the current UE itself. Because the whole network base station can periodically acquire the MR information reported by the UE, the MR is massive wireless big data, and a large amount of MR data containing the longitude and latitude information of the UE (the data is called AGPS data) can be easily found.
The AGPS data is arranged in the following format, for example, as table 3.
TABLE 3
The first row of data in this table above indicates: the mobile phone UE receives signals of a base station (617733-9) at a place with longitude and latitude (106.602788, 29.681636) and accesses the internet, and the signal strength is-95 dBm. Similarly, the second row of data in this table represents: the mobile phone UE receives signals of a base station (617733-9) at a place with longitude and latitude (106.605041, 29.680391) and accesses the internet, and the signal strength is-103 dBm.
Next, how to determine the base station specific area information using these AGPS data will be described. First, according to the latitude and longitude information reported by the UE, such as the latitude and longitude information of the UE in the first row of data in the above table (106.602788, 29.681636), it is determined whether the UE is within the rectangular boundary composed of the minimum longitude value, the maximum longitude value, the minimum latitude value, and the maximum latitude value mentioned in the previous fig. 4 (here, the rectangular area is introduced because the determination is very fast). If the current point is in the rectangular boundary, whether the UE is in a college range (in the boundary range of a specific area of the base station) is further judged, and the judging method is the same as the method for judging whether a point is in a polygon according to longitude and latitude in the figure 3.
If the longitude and latitude of the current UE are found not to be within the rectangular boundary or within the college range, the record does not need to be processed; if the longitude and latitude of the current UE are found to be in the college range, the signal of the base station cell is covered to the college range and can be used by the mobile phone, obviously, the base station cell should be added into the base station specific area of the college. Of course, if the base station cell is already joined to the base station specific area of the university, the joining time is only updated to the current time.
After all AGPS data collected by all base stations in the whole network are processed, on one hand, the base station cells which are not distributed can be added into a specific area of the base station, and on the other hand, the 'adding time' of the correct base station cells can be updated, which shows that the base station cells really cover the range of colleges and universities in the latest time period.
The following describes a procedure for determining whether or not a base station cell should be added to a base station specific area using MR big data, with reference to a flowchart of fig. 9.
In step S21', a rectangular area is established according to the maximum minimum longitude and latitude on the boundary range of the base station specific area determined in step S1.
In step S22', the UE longitude and latitude position is collected from the MR data. Then, in step S23', it is determined whether the base station cell is within the rectangular area according to the collected longitude and latitude positions of the UE. If it is determined that the cell is within the rectangular area, the process proceeds to step S24 ', and if it is determined that the cell is not within the rectangular area, the process proceeds to step S26', and the next base station cell is processed.
In step S24', it is further determined whether the UE is within the base station specific area geographical range. When it is determined that the UE is within the base station specific area geographical range, the process proceeds to step S25'. When the UE is determined not to be within the geographical range of the specific area of the base station, the process proceeds to step S26', and the next base station cell is processed.
In step S25', it is determined whether the base station cell is already in the base station specific area information. When it is determined that the base station cell is already in the base station specific area information, the flow proceeds to step S3. And when it is determined in step S25 'that the base station cell is not in the base station specific area information, proceeds to step S27'. In step S27', the current base station cell is added to the base station specific area information, and then the flow proceeds to step S4.
The above description describes a method of determining a base station cell to be added to a base station specific area based on the present network engineering parameters, and a method of determining a base station cell to be added to a base station specific area based on MR data. Both methods may implement step S2. However, the method of determining a base station cell that should join the base station specific area based on the MR data may be performed again after the method of determining a base station cell that should join the base station specific area based on the existing network work parameters by combining the two methods. Therefore, the base station cell to be added into the specific area of the base station can be more accurately judged, so that the elimination of subsequent redundant data and mismatching data is more accurate, and the accuracy of the information of the specific area of the base station is ensured.
In addition, regarding step S3, it is the specific time field that is updated. In the foregoing description, the joining time field of the base station cell in the base station specific area information is updated. Of course, the present invention is not limited to the joining time field, and may be other time fields such as an access time field and a storage time field. The field may be any field as long as it can be distinguished from other base station cells that should not be located in the base station specific area by updating. Even a field for updating can be newly created, etc. Of course, the present disclosure preferably adds a time field.
Finally, how to find the redundant data and the mismatch data according to the "update time" is explained with respect to step S4. In the "background" section above, we refer to redundant data, which mainly means that the base station cell has been shut down or the ECI has changed, and the ECI of the original base station cell has not been used in the existing network. The mismatching data generally means that the base station cell ECI is still used in the existing network, but the base station location is far away from the higher school area (for example, more than 10 km), it can be determined that the base station cell cannot cover the higher school area, and the base station cell does not need to join the base station specific area.
To find out redundant data and mismatch data, we can look at the "add time" field in the specific area information of the base station, and for the base station cell which is not updated for a long time (more than 12 months), such as the record of 2015/6/4 days in the following table, this base station is very likely to be redundant data or mismatch data.
TABLE 4
And further checking whether the base station cell number is still in the current network engineering parameter data, if the base station cell number does not appear in the current network engineering parameter data, determining the base station cell number as redundant data, and directly deleting the redundant data.
If the cell number of the base station is still in the current network parameter data, further determination can be made according to the distance from the specific area of the base station for more accuracy. For example, if the distance is 10 km or more from a specific area of the base station, it can be confirmed as erroneous data and deleted. If the distance is within 10 kilometers of the specific area of the base station, the information can be temporarily reserved or deleted after being further verified by the corresponding communication department. Of course, the distance is not limited to 10 km, and may be 8 km or 12 km. As long as the distance can be determined to determine whether the data is erroneous data.
The following describes a process of finding redundant data and mismatch data based on the "update time" with reference to the flowchart of fig. 10.
In step S41, the record in the base station specific area information is read. In the following step S42, it is determined whether or not the specific time field exceeds a predetermined time. For example, whether or not the difference between the time described in the specific time field and the current time exceeds a predetermined time. If the determination is yes, the process proceeds to step S43, and if the determination is no, the process proceeds to step S49, and the next record of the base station specific area information is read.
In step S43, it is determined whether the base station cell number is in the current network parameters. If it is determined that the current network configuration information is not included in the current network configuration information, the process proceeds to step S48, where it is determined that the current network configuration information is redundant data, and the record is deleted directly, and then the process proceeds to step S49, where the next record of the base station specific area information is read. If it is determined that the current network parameters are present, the shortest distance between the base station cell and the boundary range of the base station specific area is calculated in step S44.
In step S45, it is determined whether or not the shortest distance is equal to or greater than a predetermined distance. If it is determined that the data is not less than the predetermined distance, the process proceeds to step S46, where the data is determined to be erroneous data and the record is deleted, and then the process proceeds to step S49, where the next record of the base station specific area information is read. If it is determined in step S45 that the distance is not equal to or greater than the predetermined distance, the process proceeds to step S47, and the base station cell is retained for further determination or further verification with another department.
The method for improving the accuracy of the specific area information based on the big data according to the present embodiment is described in detail above.
Experiments were performed using the methods described above. That is, by using the method to clean up the information about the base station cell near the preferential area of southwest university in the preferential area 21388 of college in Chongqing telecommunication billing department, 205 redundant records are found in the previous 4203 records, wherein 42 records are TDD base stations of down and the current network is already removed and can be deleted. And the base station cells in 163 redundant records cover the tunnel, belong to error data and need to be deleted. In addition, 6 base station cells which are missed to distribute preferential charging area information are found through MR data, the base station cells are all base stations on nearby Jinyun mountains, the base stations can be remotely covered in college campuses under mountains, and the base stations need to be added into the preferential charging area and belong to missed distribution data. According to the experimental result, the method is utilized to automatically identify the specific area of the base station to which the base station cell should be added, so that the missing data, the mismatching data and the redundant data in the specific area of the base station are automatically found, and the accuracy of the information of the specific area of the base station is greatly improved.
Besides the application scenarios, in order to better evaluate the network coverage of the scenarios such as colleges and universities, business circles, residences, scenic spots, etc., the operator network optimization department usually establishes network elements of the scenarios, and performs summary statistics on the performance indexes of the base station cells in the network elements. Partial base station cells with higher positions outside the colleges and universities or business circles can also cover, the base station cells also need to be added into corresponding scenes such as colleges and universities, business circles, houses and scenic spots, and the base station cells can be identified by the method, so that the network optimization department can calculate the cells of the network elements of the scenes such as the colleges and universities, business circles, houses and scenic spots more accurately.
It should be appreciated that reference throughout this specification to "an embodiment" or similar language means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, the appearances of the phrases "in embodiments of the present disclosure" and similar language throughout this specification are not necessarily referring to the same embodiment.
One skilled in the art will appreciate that the present disclosure is implemented as a method, a computer readable medium (e.g., a non-transitory storage medium) as a computer program product. Accordingly, the present disclosure may be embodied in, for example, an entirely software embodiment (including firmware, resident software, micro-program code, etc.), or in both software and hardware embodiments. Furthermore, the present disclosure may also be embodied in any tangible media as a computer program product having computer usable program code stored thereon.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and any combination of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be executed by a processor of a general purpose computer, special purpose computer, 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, implement the functions or acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams of the architecture, functionality, and operation of which the methods and computer program products may be implemented according to various embodiments of the present disclosure are shown in the accompanying drawings. Accordingly, each block in the flowchart or block diagrams may represent a module, segment, or portion of program code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in the drawings may be executed substantially concurrently, or in some cases, in the reverse order from the drawing depending on the functions involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the market technology, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (11)
1. A method for improving the accuracy of information in a specific area of a base station is characterized by comprising the following steps:
a determining step of determining a boundary range of a specific area of a base station;
a determination step of determining a base station cell to be added to a base station specific area based on the position information in the communication big data;
an updating step of updating a specific time field related to a base station cell which is determined to be added to the base station specific area in the base station specific area information; and
and an excluding step of excluding redundant data and/or mismatch data according to the specific time field.
2. The method of claim 1, wherein the determining step further comprises:
acquiring longitude and latitude information of a base station cell in the working parameter data; and
and judging whether the base station cell is a base station cell which should be added into the specific area of the base station according to the acquired longitude and latitude information of the base station cell.
3. The method according to claim 1 or 2, wherein the determining step further comprises:
collecting longitude and latitude position information of the user equipment from information interacted between the base station and the user equipment through signaling; and
and judging whether the base station cell is a base station cell which should be added into the specific area of the base station according to the acquired longitude and latitude position information of the user equipment.
4. The method as claimed in claim 2, wherein in the step of determining whether the base station cell is a base station cell to be added to the specific area of the base station according to the obtained latitude and longitude information of the base station cell, determining whether the base station cell is in a rectangular area according to the obtained latitude and longitude information of the base station cell, and further determining whether the base station cell is in a geographical area of the specific area of the base station, wherein the rectangular area is a square area formed based on location information of a maximum longitude, a maximum latitude, a minimum longitude and a minimum latitude of a boundary range of the specific area of the base station.
5. The method as claimed in claim 3, wherein in the step of determining whether the base station cell is a base station cell to be added to the specific area of the base station according to the obtained latitude and longitude information of the base station cell, determining whether the base station cell is in a rectangular area according to the latitude and longitude location information of the user equipment, and further determining whether the base station cell is in a geographical area of the specific area of the base station, wherein the rectangular area is a square area formed based on location information of a maximum longitude, a maximum latitude, a minimum longitude, and a minimum latitude of a boundary range of the specific area of the base station.
6. The method of claim 4, wherein in the updating step, when the base station cell is determined to be within the geographical range of the specific area of the base station and the base station cell is already in the specific area of the base station, the specific time field related to the base station cell in the specific area of the base station is updated,
and when the base station cell is judged to be in the geographical range of the base station specific area but not in the base station specific area information, adding the base station cell into the base station specific area for updating.
7. The method of claim 5, wherein in the updating step, when the base station cell is determined to be within the geographical range of the specific area of the base station and the base station cell is already in the specific area of the base station, the specific time field related to the base station cell in the specific area of the base station is updated,
and when the base station cell is judged to be in the geographical range of the base station specific area but not in the base station specific area information, adding the base station cell into the base station specific area for updating.
8. The method of claim 1, wherein the excluding step comprises:
a step of determining whether or not the specific time field exceeds a predetermined time;
and deleting the record corresponding to the base station cell in the base station specific area information when the specific time field exceeds the specified time but the base station cell number is not in the current network configuration parameters.
9. The method of claim 8, wherein the excluding step further comprises:
and determining the shortest distance between the base station cell, which has exceeded the predetermined time in the specific time field and is currently being subjected to network configuration, and the boundary range of the base station specific area, and deleting the record corresponding to the base station cell in the base station specific area information when the shortest distance is equal to or more than the predetermined distance.
10. An apparatus, characterized in that the apparatus comprises:
one or more processors;
a memory for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method for improving accuracy of base station specific area information as recited in any of claims 1-9.
11. A storage medium storing a computer program, characterized in that the program, when executed by a processor, implements a method for improving the accuracy of base station specific area information according to any of claims 1-9.
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