CN113055811A - Method and device for acquiring longitude and latitude of base station - Google Patents
Method and device for acquiring longitude and latitude of base station Download PDFInfo
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- CN113055811A CN113055811A CN201911264516.6A CN201911264516A CN113055811A CN 113055811 A CN113055811 A CN 113055811A CN 201911264516 A CN201911264516 A CN 201911264516A CN 113055811 A CN113055811 A CN 113055811A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/023—Services making use of location information using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
- H04W64/003—Locating users or terminals or network equipment for network management purposes, e.g. mobility management locating network equipment
Abstract
The invention discloses a method and a device for acquiring longitude and latitude of a base station, and relates to the field of network operation. The method comprises the following steps: determining a base station to be positioned according to MR data reported by a terminal; acquiring longitude and latitude data of sampling points in each sector of a base station; after denoising the sampling point of each sector, determining the longitude and latitude data of the mass center of each sector; and carrying out convergence calculation on the longitude and latitude data of the mass centers of the at least three intersected sectors to obtain the longitude and latitude of the base station.
Description
Technical Field
The present disclosure relates to the field of network operations, and in particular, to a method and an apparatus for obtaining longitude and latitude of a base station.
Background
The accuracy of the latitude and longitude of the base station is the basis of the operation quality of the network, and the wrong base station position information brings great trouble to the expansion, new construction and optimization of the network. Traditionally, wireless network working parameter maintenance is carried out through measuring records one by one on the station and updating regularly, a large amount of manpower and material resources are needed, the updating period is long, and position errors of a base station are easily caused due to untimely updating.
Disclosure of Invention
The technical problem to be solved by the present disclosure is to provide a method and an apparatus for obtaining the longitude and latitude of a base station, which can improve the accuracy of the calculation of the longitude and latitude of the base station.
According to one aspect of the present disclosure, a method for obtaining longitude and latitude of a base station is provided, including: determining a base station to be positioned according to measurement report MR data reported by a terminal; acquiring longitude and latitude data of sampling points in each sector of a base station; after denoising the sampling point of each sector, determining the longitude and latitude data of the mass center of each sector; and carrying out convergence calculation on the longitude and latitude data of the mass centers of the at least three intersected sectors to obtain the longitude and latitude of the base station.
In some embodiments, after denoising the sampling points of each sector, determining the longitude and latitude data of the centroid of each sector comprises: determining an average longitude and latitude value of the sector according to the longitude and latitude data of sampling points in the sector, and taking the average longitude and latitude value as the longitude and latitude data of an initial centroid of the sector; calculating a first distance between each sampling point in the sector and the initial centroid; calculating a standard deviation distance according to the first distance; judging whether the standard deviation distance is greater than or equal to a distance threshold value or not; if the standard difference is larger than or equal to the distance threshold, reserving the sampling points of the preset confidence interval in the sector, and re-executing the step of determining the average longitude and latitude value of the sector according to the longitude and latitude data of the sampling points in the sector until the standard difference is smaller than the distance threshold; and taking the average longitude and latitude value of the sector when the standard distance is less than the distance threshold value as the longitude and latitude data of the centroid of the sector.
In some embodiments, performing a convergence calculation on the longitude and latitude data of the centroids of at least three intersecting sectors to obtain the longitude and latitude of the base station includes: using the mass centers of at least three intersected sectors as the vertexes of the convergence area; determining longitude and latitude data of a centroid of the convergence area according to the longitude and latitude data of the vertex of the convergence area; and taking the longitude and latitude data of the mass center of the convergence area as the longitude and latitude of the base station.
In some embodiments, determining a base station to be located comprises: the TA in the coverage area of the base station is 0, and the number of sampling points of 1 and 2 is larger than the number threshold value.
In some embodiments, obtaining latitude and longitude data of the sampling point in each sector of the base station comprises: and acquiring longitude and latitude data of sampling points of which Reference Signal Received Power (RSRP) values are greater than the intensity threshold value in each sector of the base station.
In some embodiments, calculating the longitude and latitude data for the centroid of each sector comprises: rasterizing sampling points in each sector to determine longitude and latitude data of each grid; and calculating the longitude and latitude data of the mass center of each sector according to the longitude and latitude data of each grid in each sector.
According to another aspect of the present disclosure, a device for obtaining latitude and longitude of a base station is further provided, including: the base station determining unit is configured to determine a base station to be positioned according to the measurement report MR data reported by the terminal; the latitude and longitude acquisition unit of the sampling point is configured to acquire latitude and longitude data of the sampling point in each sector of the base station; the sector center-of-mass determining unit is configured to determine longitude and latitude data of a center of mass of each sector after denoising of a sampling point of each sector; and the base station longitude and latitude determining unit is configured to perform convergence calculation on the longitude and latitude data of the mass centers of the at least three intersected sectors to obtain the longitude and latitude of the base station.
In some embodiments, the sector centroid determining unit is configured to determine an average longitude and latitude value of the sector from the longitude and latitude data of the sampling points within the sector, the average longitude and latitude value being taken as the longitude and latitude data of the initial centroid of the sector; calculating a first distance between each sampling point in the sector and the initial centroid; calculating a standard deviation distance according to the first distance; judging whether the standard deviation distance is greater than or equal to a distance threshold value or not; if the standard difference is larger than or equal to the distance threshold, reserving the sampling points of the preset confidence interval in the sector, and re-executing the step of determining the average longitude and latitude value of the sector according to the longitude and latitude data of the sampling points in the sector until the standard difference is smaller than the distance threshold; and taking the average longitude and latitude value of the sector when the standard distance is less than the distance threshold value as the longitude and latitude data of the centroid of the sector.
According to another aspect of the present disclosure, a device for obtaining latitude and longitude of a base station is further provided, including: a memory; and a processor coupled to the memory, the processor configured to perform the method of obtaining the latitude and longitude of the base station as described above based on the instructions stored in the memory.
According to another aspect of the present disclosure, a computer-readable storage medium is also provided, on which computer program instructions are stored, which when executed by a processor implement the above-mentioned method for obtaining the latitude and longitude of a base station.
Compared with the related technology, in the embodiment of the disclosure, the sampling points of the sectors are cleaned, then the longitude and latitude data of the mass center of each sector are calculated, and finally the data are overlapped and converged to obtain the longitude and latitude data of the base station, so that the accuracy of the longitude and latitude calculation of the base station can be improved.
Other features of the present disclosure and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.
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, taken with reference to the accompanying drawings, in which:
fig. 1 is a flow chart illustrating some embodiments of the disclosed method for obtaining latitude and longitude of a base station.
Fig. 2 is a flowchart illustrating another embodiment of a method for obtaining latitude and longitude of a base station according to the present disclosure.
Fig. 3 is a schematic diagram of sampling points of the present disclosure.
Fig. 4 is a schematic structural diagram of some embodiments of the apparatus for acquiring latitude and longitude of a base station according to the present disclosure.
Fig. 5 is a schematic structural diagram of another embodiment of the apparatus for acquiring latitude and longitude of a base station according to the present disclosure.
Fig. 6 is a schematic structural diagram of another embodiment of the apparatus for acquiring latitude and longitude of a base station according to the present disclosure.
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.
For the purpose of promoting a better understanding of the objects, aspects and advantages of the present disclosure, reference is made to the following detailed description taken in conjunction with the accompanying drawings.
Fig. 1 is a flow chart illustrating some embodiments of the disclosed method for obtaining latitude and longitude of a base station.
In step 110, a base station to be positioned is determined according to MR (Measurement Report) data reported by the terminal.
In some embodiments, MDT (Minimization of Drive-Test) data with longitude and latitude and MR data reported by a terminal are associated in advance, so that the MR data carries longitude and latitude information.
In some embodiments, the number of sampling points with TA (Timing Advance) values of 0,1, and 2 in the coverage area of the base station is greater than the number threshold.
In step 120, latitude and longitude data of the sampling point in each sector of the base station is obtained.
In step 130, after denoising the sampling points of each sector, determining the longitude and latitude data of the centroid of each sector.
In some embodiments, the sampling points of each sector are cleaned, and discrete sampling points are removed, that is, the raw big data is cleaned and denoised. The mass center of each sector is the position corresponding to the average longitude and latitude of the sampling point.
In step 140, the longitude and latitude data of the centroids of the at least three intersecting sectors are subjected to aggregation calculation to obtain the longitude and latitude of the base station.
In some embodiments, the centroid of the at least three sectors that intersect is taken as the vertex of the convergence region. For example, the three centroids determined in step 130 are constructed as triangular regions, each centroid being a vertex of the triangular region. And determining the longitude and latitude data of the centroid of the triangular area according to the longitude and latitude data of the vertex of the triangular area, and taking the longitude and latitude data of the centroid of the triangular area as the longitude and latitude of the base station.
In the embodiment, the sampling points of the sectors are cleaned, the longitude and latitude data of the mass center of each sector are calculated, and finally the data are overlapped and converged to obtain the longitude and latitude data of the base station, so that the accuracy of calculating the longitude and latitude of the base station can be improved.
Fig. 2 is a flowchart illustrating another embodiment of a method for obtaining latitude and longitude of a base station according to the present disclosure.
In step 210, base stations meeting the conditions are screened according to the MR data reported by the terminal.
The base station meeting the conditions is, for example, an outdoor station, the number of sampling points and the number of sampling hours are greater than a certain threshold, and the number of sectors is a positive integer greater than 2.
In some embodiments, the number of sampling points of TA ═ 0,1,2 for the eligible base station is greater than a threshold, e.g., greater than 100. TA can characterize the distance from the sampling point to the base station to some extent, where TA is 0, and 1,2 means that the distance from the sampling point to the base station is within 156 m.
In step 220, longitude and latitude data of sampling points whose RSRP (Reference Signal Receiving Power) value is greater than the intensity threshold in each sector of the base station meeting the condition are obtained. For example, the longitude and latitude data of the sampling point from the RERP to more than-95 dBm is screened out, so that the sampling reliability is ensured.
At step 230, an average warp and weft value for each sector is calculated, and the average warp and weft value is used as the warp and weft data for the initial centroid of the sector.
In some embodiments, rasterization processing is carried out on sampling points in each sector, and longitude and latitude data of each grid are determined; and calculating the longitude and latitude data of the mass center of each sector according to the longitude and latitude data of each grid in each sector. The amount of computation can be reduced by rasterization, and the difference in sample size can be equalized by rasterization.
At step 240, a first distance is calculated for each sample point within the sector from the initial centroid. Let the first distance be, for example, X (i), i ∈ n, where n is the number of sample points retained in the sector.
At step 250, a standard deviation distance is calculated based on the first distance.
In some embodiments, the average M of the plurality of first distances is calculated, for example
Then according to the formula
Calculating the standard deviation distance
In step 260, it is determined whether the standard deviation distance is greater than or equal to the distance threshold, if so, step 270 is performed, otherwise, step 280 is performed. The distance threshold may be set according to actual conditions, but it is required to ensure that the maximum distance variation of each sampling point does not exceed 2TA, for example, the distance threshold is set to 156 meters.
At step 270, sample points in the sector are retained for a predetermined confidence interval. For example, the confidence interval is set to 95%, i.e., sample points M +1.96 meters from the centroid position are retained. Execution then continues at step 230.
In step 280, the longitude and latitude data of the centroid satisfying the condition is taken as the longitude and latitude data of the centroid of the sector.
The discrete sampling points in the sector can be removed through step 230-280. As shown in fig. 3, the reliability of the calculation can be further improved by discarding the sampling points outside the circle.
At step 290, the centroids of the at least three intersecting sectors are taken as the vertices of the convergence region.
In step 2100, longitude and latitude data of a centroid of the convergence region is determined from the longitude and latitude data of the vertex of the convergence region.
In step 2110, the longitude and latitude data of the centroid of the convergence area is used as the longitude and latitude of the base station.
In the embodiment, the sampling points of the sectors are subjected to recursive convergence denoising, and data overlapping convergence is combined, so that the whole process realizes automatic and non-manual intervention, the actual position information of the base station is obtained in a quasi-real-time manner, and the positioning accuracy of the base station is improved.
In some embodiments, the determined longitude and latitude data of the base station may be compared according to the current network parameters, and suspicious longitude and latitude sites may be output, which facilitates maintenance and update of the network parameters.
Fig. 4 is a schematic structural diagram of some embodiments of the apparatus for acquiring latitude and longitude of a base station according to the present disclosure. The apparatus includes a base station determining unit 410, a sampling point latitude and longitude acquiring unit 420, a sector center of mass determining unit 430, and a base station latitude and longitude determining unit 440.
The base station determining unit 410 is configured to determine a base station to be positioned according to the MR data reported by the terminal.
In some embodiments, the number of samples with TA values 0,1,2 in the coverage area of the base station is greater than the number threshold.
The sampling point latitude and longitude acquisition unit 420 is configured to acquire latitude and longitude data of a sampling point within each sector of the base station.
In some embodiments, latitude and longitude data of sampling points in each sector of the base station with RSRP values greater than the strength threshold are acquired.
The sector centroid determining unit 430 is configured to determine the longitude and latitude data of the centroid of each sector after denoising the sampling points of each sector.
In some embodiments, an average longitude and latitude value of a sector is determined according to longitude and latitude data of sampling points in the sector, and the average longitude and latitude value is used as the longitude and latitude data of an initial centroid of the sector; calculating a first distance between each sampling point in the sector and the initial centroid; calculating a standard deviation distance according to the first distance; judging whether the standard deviation distance is greater than or equal to a distance threshold value or not; if the standard difference is larger than or equal to the distance threshold, reserving the sampling points of the preset confidence interval in the sector, and re-executing the step of determining the average longitude and latitude value of the sector according to the longitude and latitude data of the sampling points in the sector until the standard difference is smaller than the distance threshold; and taking the average longitude and latitude value of the sector when the standard distance is less than the distance threshold value as the longitude and latitude data of the centroid of the sector.
The base station latitude and longitude determination unit 440 is configured to perform a convergence calculation on the latitude and longitude data of the centroid of the at least three intersecting sectors to obtain the latitude and longitude of the base station.
In some embodiments, the centroids of the intersecting at least three sectors are taken as the vertices of the convergence region; determining longitude and latitude data of a centroid of the convergence area according to the longitude and latitude data of the vertex of the convergence area; and taking the longitude and latitude data of the mass center of the convergence area as the longitude and latitude of the base station.
In the embodiment, the sampling points of the sectors are cleaned, then the longitude and latitude data of the mass center of each sector are calculated, and finally the longitude and latitude data of the base station are gathered according to the intersection of the sectors, so that the accuracy of calculating the longitude and latitude of the base station can be improved. For example, the inventor applies the scheme of the present disclosure to a certain big data integrated operation platform, and experiments show that the calculation accuracy of the longitude and latitude of the base station reaches 98.7%.
Fig. 5 is a schematic structural diagram of another embodiment of the apparatus for acquiring latitude and longitude of a base station according to the present disclosure. The apparatus comprises a memory 510 and a processor 520, wherein: the memory 510 may be a magnetic disk, flash memory, or any other non-volatile storage medium. The memory is used for storing instructions in the embodiments corresponding to fig. 1 and 2. Processor 520 is coupled to memory 510 and may be implemented as one or more integrated circuits, such as a microprocessor or microcontroller. The processor 520 is configured to execute instructions stored in memory.
In some embodiments, as also shown in fig. 6, the apparatus 600 includes a memory 610 and a processor 620. Processor 620 is coupled to memory 610 through a BUS 630. The apparatus 600 may also be coupled to an external storage device 650 via a storage interface 640 for external data retrieval, and may also be coupled to a network or another computer system (not shown) via a network interface 660, which will not be described in detail herein.
In the embodiment, the data instruction is stored through the memory, and the instruction is processed through the processor, so that the accuracy of calculating the longitude and latitude of the base station is improved.
In further embodiments, a computer-readable storage medium has stored thereon computer program instructions which, when executed by a processor, implement the steps of the method in the embodiments corresponding to fig. 1 and 2. As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, apparatus, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory 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 disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. 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.
Thus far, the present disclosure has been described in detail. Some details that are well known in the art have not been described in order to avoid obscuring the concepts of the present disclosure. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.
Although some specific embodiments of the present disclosure have been described in detail by way of example, it should be understood by those skilled in the art that the foregoing examples are for purposes of illustration only and are not intended to limit the scope of the present disclosure. It will be appreciated by those skilled in the art that modifications may be made to the above embodiments without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.
Claims (10)
1. A method for obtaining longitude and latitude of a base station comprises the following steps:
determining a base station to be positioned according to measurement report MR data reported by a terminal;
acquiring longitude and latitude data of sampling points in each sector of the base station;
after denoising the sampling points of each sector, determining the longitude and latitude data of the mass center of each sector;
and carrying out convergence calculation on the longitude and latitude data of the mass centers of at least three intersected sectors to obtain the longitude and latitude of the base station.
2. The method of claim 1, wherein determining the longitude and latitude data of the centroid of each of the sectors after denoising the sampling points of each of the sectors comprises:
determining an average longitude and latitude value of the sector according to the longitude and latitude data of the sampling points in the sector, and taking the average longitude and latitude value as the longitude and latitude data of an initial centroid of the sector;
calculating a first distance between each sampling point in the sector and the initial centroid;
calculating a standard deviation distance according to the first distance;
judging whether the standard deviation distance is greater than or equal to a distance threshold value;
if the standard difference is larger than or equal to a distance threshold, reserving sampling points of a preset confidence interval in the sector, and re-executing the step of determining the average longitude and latitude value of the sector according to the longitude and latitude data of the sampling points in the sector until the standard difference is smaller than the distance threshold;
and taking the average longitude and latitude value of the sector when the standard deviation distance is smaller than the distance threshold value as the longitude and latitude data of the centroid of the sector.
3. The method of claim 1, wherein the step of performing aggregation calculation on longitude and latitude data of centroids of at least three intersecting sectors to obtain the longitude and latitude of the base station comprises:
using the centers of mass of at least three intersected sectors as the vertexes of a convergence area;
determining longitude and latitude data of a centroid of the convergence area according to the longitude and latitude data of the vertex of the convergence area;
and taking the longitude and latitude data of the centroid of the convergence area as the longitude and latitude of the base station.
4. The method of obtaining base station latitude and longitude of claim 1, wherein determining a base station to be located comprises:
the number of sampling points with the TA values of 0,1 and 2 in the coverage area of the base station is greater than the number threshold.
5. The method of claim 4, wherein obtaining latitude and longitude data of sampling points in each sector of the base station comprises:
and acquiring longitude and latitude data of sampling points of which the reference signal received power RSRP value is greater than the intensity threshold value in each sector of the base station.
6. The method of any one of claims 1 to 5, wherein calculating the latitude and longitude data of the centroid of each of the sectors comprises:
rasterizing sampling points in each sector to determine longitude and latitude data of each grid;
and calculating the longitude and latitude data of the centroid of each sector according to the longitude and latitude data of each grid in each sector.
7. An apparatus for obtaining latitude and longitude of a base station, comprising:
the base station determining unit is configured to determine a base station to be positioned according to the measurement report MR data reported by the terminal;
a sampling point longitude and latitude acquisition unit configured to acquire longitude and latitude data of a sampling point in each sector of the base station;
the sector center-of-mass determining unit is configured to determine longitude and latitude data of the center of mass of each sector after denoising of the sampling point of each sector;
and the base station longitude and latitude determining unit is configured to perform convergence calculation on the longitude and latitude data of the mass centers of at least three intersected sectors to obtain the longitude and latitude of the base station.
8. The apparatus for obtaining latitude and longitude of a base station according to claim 7,
the sector center-of-mass determination unit is configured to determine an average longitude and latitude value of the sector according to longitude and latitude data of sampling points in the sector, and the average longitude and latitude value is used as the longitude and latitude data of an initial center of mass of the sector; calculating a first distance between each sampling point in the sector and the initial centroid; calculating a standard deviation distance according to the first distance; judging whether the standard deviation distance is greater than or equal to a distance threshold value; if the standard difference is larger than or equal to a distance threshold, reserving sampling points of a preset confidence interval in the sector, and re-executing the step of determining the average longitude and latitude value of the sector according to the longitude and latitude data of the sampling points in the sector until the standard difference is smaller than the distance threshold; and taking the average longitude and latitude value of the sector when the standard deviation distance is smaller than the distance threshold value as the longitude and latitude data of the centroid of the sector.
9. An apparatus for obtaining latitude and longitude of a base station, comprising:
a memory; and
a processor coupled to the memory, the processor configured to perform the method of obtaining base station latitude and longitude of any of claims 1 to 6 based on instructions stored in the memory.
10. A computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the method of obtaining the latitude and longitude of a base station of any one of claims 1 to 6.
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| CN105744535A (en) * | 2016-05-02 | 2016-07-06 | 北京联合大学 | Cell information detection and cell coverage calibration method for mobile network |
| CN109996280A (en) * | 2017-12-31 | 2019-07-09 | 中国移动通信集团湖北有限公司 | Latitude and longitude of base station check method, device, equipment and medium |
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