CN110831057A - Network coverage condition detection method, device and storage medium - Google Patents
Network coverage condition detection method, device and storage medium Download PDFInfo
- Publication number
- CN110831057A CN110831057A CN201911104609.2A CN201911104609A CN110831057A CN 110831057 A CN110831057 A CN 110831057A CN 201911104609 A CN201911104609 A CN 201911104609A CN 110831057 A CN110831057 A CN 110831057A
- Authority
- CN
- China
- Prior art keywords
- frequency band
- coverage
- grid
- coverage level
- frequency
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention provides a network coverage condition detection method, a device and a storage medium, wherein the network coverage condition of a second communication system network in a target area is obtained by obtaining the coverage level of a plurality of different first frequency bands corresponding to each grid in the target area, wherein the first frequency band is the frequency band of a first communication system, then the coverage level of a second frequency band corresponding to the grid is obtained according to the coverage levels of the plurality of different first frequency bands corresponding to the grid, the second frequency band is the frequency band of a second communication system, and then the network coverage condition of the second communication system network in the target area is obtained according to the coverage level of the second frequency band corresponding to each grid in the target area. The method provided by the embodiment of the invention realizes the accurate prediction of the coverage condition of the network of the second communication system through the equivalent coverage algorithm from the first communication system to the second communication system, and the method provided by the embodiment of the invention does not need a high-precision map and special road test, thereby effectively reducing the detection cost of the network coverage condition.
Description
Technical Field
The embodiment of the invention relates to the technical field of mobile communication, in particular to a method and a device for detecting network coverage conditions and a storage medium.
Background
With the development of the fifth generation mobile communication technology (5G), various operators are accelerating the construction of 5G networks. Since a large number of base stations need to be built in the 5G network, accurate 5G base station site planning is urgently needed. When planning the site of the 5G base station, the coverage condition of the 5G network is an extremely important planning basis for planning the site of the 5G base station.
In the prior art, a 5G network coverage condition is obtained by combining road testing and network simulation, and high-precision map data and road side data of a whole network are required to correct simulation data when the method is adopted.
However, the high-precision map has a high cost, and the cost is high due to the fact that a lot of manpower and material resources are required to be invested for obtaining the road test data of the whole network.
Disclosure of Invention
The embodiment of the invention provides a method, a device and a storage medium for detecting network coverage condition, which are used for reducing the detection cost of 5G network coverage condition.
In a first aspect, an embodiment of the present invention provides a method for detecting a network coverage condition, including:
acquiring coverage levels of a plurality of different first frequency bands corresponding to each grid in a target area, wherein the first frequency bands are frequency bands of a first communication system;
obtaining a coverage level of a second frequency band corresponding to the grid according to the coverage levels of the plurality of different first frequency bands corresponding to the grid, wherein the second frequency band is a frequency band of a second communication system;
and acquiring the coverage condition of the second communication system network of the target area according to the coverage level of the second frequency band corresponding to each grid in the target area.
Optionally, the obtaining, according to the coverage levels of the multiple different first frequency bands corresponding to the grid, the coverage level of the second frequency band corresponding to the grid includes:
for each first frequency band, obtaining the coverage level of the second frequency band corresponding to the first frequency band according to the coverage level of the first frequency band and the mapping relation between the coverage level of the first frequency band and the coverage level of the second frequency band;
and obtaining the coverage level of the second frequency band corresponding to the grid according to the coverage levels of the second frequency bands corresponding to the plurality of different first frequency bands respectively.
Optionally, the mapping relationship between the coverage level of the first frequency band and the coverage level of the second frequency band includes: a difference between the coverage level of the first frequency band and the coverage level of the second frequency band.
Optionally, a difference between the coverage levels of the first frequency band and the second frequency band belonging to the indoor grid is different from a difference between the coverage levels of the first frequency band and the second frequency band belonging to the outdoor grid.
Optionally, the obtaining, according to the coverage levels of the second frequency bands respectively corresponding to the plurality of different first frequency bands, the coverage level of the second frequency band corresponding to the grid includes:
and weighting the coverage levels of the second frequency bands respectively corresponding to the plurality of different first frequency bands to obtain the coverage level of the second frequency band corresponding to the grid.
Optionally, when the weighting processing is performed on the coverage levels of the second frequency bands corresponding to the multiple different first frequency bands, the weighting coefficient of the coverage level of the second frequency band corresponding to each first frequency band is: and the total number of points adopted by the measurement report of the cell corresponding to the first frequency band in the grid.
Optionally, the first communication standard is 4G, and the second communication standard is 5G.
Optionally, the plurality of different first frequency bands are: 900MHz frequency band, 1800MHz frequency band, 2100MHz frequency band; the second frequency band is a 3.5GHz frequency band.
In a second aspect, an embodiment of the present invention provides a network coverage status detection apparatus, including:
the device comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring the coverage level of a plurality of different first frequency bands corresponding to each grid in a target area, and the first frequency band is the frequency band of a first communication system;
a processing module, configured to obtain a coverage level of a second frequency band corresponding to the grid according to the coverage levels of the plurality of different first frequency bands corresponding to the grid, where the second frequency band is a frequency band of a second communication system; and the coverage condition of the second communication system network of the target area is obtained according to the coverage level of the second frequency band corresponding to each grid in the target area.
In a third aspect, an embodiment of the present invention provides an apparatus for detecting a network coverage condition, where the apparatus includes: memory, processor, and computer program instructions;
the computer program instructions are stored in the memory;
the processor executes the computer program instructions to perform the network coverage condition detection method of any of the first aspects.
In a fourth aspect, an embodiment of the present invention further provides a readable storage medium, including: carrying out a procedure;
the program is executed by a processor to perform the network coverage status detection method of any one of the first aspect.
In a fifth aspect, embodiments of the present invention further provide a program product, where the program product includes a computer program, where the computer program is stored in a readable storage medium, and at least one processor of the network coverage status detection apparatus can read the computer program from the readable storage medium, and the at least one processor executes the computer program to make the network coverage status detection apparatus execute the network coverage status detection method according to any one of the first aspect.
The embodiment of the invention provides a method, a device and a storage medium for detecting network coverage conditions, wherein the method comprises the steps of obtaining coverage levels of a plurality of different first frequency bands corresponding to each grid in a target area, wherein the first frequency band is a frequency band of a first communication system, then obtaining the coverage levels of a second frequency band corresponding to the grid according to the coverage levels of the plurality of different first frequency bands corresponding to the grid, wherein the second frequency band is a frequency band of a second communication system, and then obtaining the network coverage conditions of a second communication system network in the target area according to the coverage levels of the second frequency bands corresponding to the grids in the target area. According to the method provided by the embodiment of the invention, the coverage level difference value of the second frequency band is obtained according to the coverage level difference value between the coverage level of the first frequency band of the first communication system and the coverage level of the second frequency band of the second communication system, and the accurate prediction of the coverage condition of the network of the second communication system is realized through the equivalent coverage algorithm from the first communication system to the second communication system.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of a first embodiment of a method for detecting a network coverage status according to the present invention;
FIG. 2 is a first diagram illustrating a relationship between a grid and a cell according to the present invention;
FIG. 3 is a second diagram illustrating the relationship between grids and cells provided by the present invention;
fig. 4 is a structural diagram of a relationship between a network coverage status of a first communication system and a network coverage status of a second communication system according to the present invention;
fig. 5 is a schematic structural diagram of a first network coverage status detection apparatus according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a second network coverage status detection apparatus 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 and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
With the rapid development of 5G, various operators are accelerating the construction of 5G networks. Since a large number of base stations need to be built in the 5G network, accurate 5G base station site planning is urgently needed. When planning the site of the 5G base station, the coverage condition of the 5G network is an extremely important planning basis when planning the site of the 5G base station.
In the prior art, a 5G network coverage condition is obtained by combining road testing and network simulation, and high-precision map data and road side data of a whole network are required to correct simulation data when the method is adopted. For example, in the invention patent with publication number CN102752790B, a road testing method and a coverage simulation method are effectively combined, in a grid with measurement points, a wireless network parameter measurement result obtained by the road testing method is used to replace a part of wireless network parameter simulation values obtained by the coverage simulation method, and a wireless network coverage rate of the network coverage evaluation area is determined by using the replaced wireless network parameter simulation values and the wireless network parameter simulation values that are not replaced.
However, when the above method is adopted, the cost of the high-precision map is high, and some remote areas and underdeveloped areas may not have the high-precision map, and the cost is high because the investment of manpower and material resources for obtaining the road test data of the whole network is large. In addition, because the thickness and material difference of the building wall are large, the loss difference of different walls cannot be accurately predicted, so that the accuracy of the indoor and outdoor wireless network parameter measurement results is low, and the accuracy of the network coverage detection state is influenced.
Therefore, in the embodiment of the invention, the coverage levels of a plurality of different first frequency bands of the first communication system are obtained, the coverage level of the second frequency band of the second communication system is obtained according to the coverage levels of the plurality of different first frequency bands, and then the coverage condition of the network of the second communication system in the target area is obtained according to the coverage level of the second frequency band.
Next, the network coverage status detection method provided by the embodiment of the present invention is described in detail through several specific embodiments.
Fig. 1 is a flowchart of a first embodiment of a network coverage status detection method provided in the present invention. An implementation subject of the network coverage status detection method provided in this embodiment may be a network coverage status detection device, where the network coverage status detection device may be implemented in any software and/or hardware manner, and for example, the network coverage status detection device may be a base station of a first communication system.
As shown in fig. 1, the method of this embodiment may include:
s101, obtaining the coverage level of a plurality of different first frequency bands corresponding to each grid in the target area.
The target area is a network coverage condition detection area, and the target area is a rasterized target area. The first frequency band is a frequency band of a first communication system. The coverage level is used for representing the signal strength of the communication network, and the coverage level of the first frequency band represents the signal strength of the first communication system network in the first frequency band.
Firstly, a base station of a first communication system acquires Measurement Report (MR) information reported by a terminal in a target area, wherein the MR information is one of important bases for evaluating network evaluation and optimization. The MR information may include an identifier of a serving base station, an identifier of a cell, frequency band information (i.e., frequency of the first frequency band), a coverage level of the cell in the first frequency band, and the like; then, determining MR information corresponding to each grid in the target area according to the MR information respectively reported by a plurality of terminals located in the target area and the longitude and latitude information corresponding to each grid included in the target area; then, according to the MR information corresponding to each grid, the coverage levels corresponding to a plurality of different first frequency bands corresponding to the grid are determined.
In practical application, one grid may correspond to a plurality of MR information, and the base station of the first communication system may determine the grid corresponding to the MR information reported by the terminal according to the location information of the terminal and the longitude and latitude information corresponding to each grid in the target area.
Exemplarily, determining the coverage levels respectively corresponding to the plurality of different first frequency bands corresponding to each grid according to the MR information corresponding to the grid may be implemented by:
specifically, for each first frequency band, performing average weighting processing according to the number of MR information corresponding to the first frequency band in the grid and the coverage level of the cell included in the MR information in the first frequency band, and determining the coverage level corresponding to the first frequency band in the grid.
Referring to fig. 2, if one grid corresponds to one cell for the first frequency band, average weighting processing is performed according to an average value of the coverage levels of the first frequency band included in all MR information in the one cell, and the coverage level corresponding to the first frequency band in the grid is determined.
If one grid corresponds to a plurality of cells aiming at the first frequency band, carrying out average weighting processing according to the average value of the coverage levels of the first frequency band included in all the MR information in each cell of the plurality of cells, and determining the coverage level corresponding to the first frequency band in the grid. Exemplarily, referring to fig. 3, one grid a corresponds to 3 cells, which are a cell 1a, a cell 1b, and a cell 1c, respectively, and then, an average weighting process is performed according to an average value of the coverage levels of the first frequency band included in all MR information in the cell 1a, an average value of the coverage levels of the first frequency band included in all MR information in the cell 1b, and an average value of the coverage levels of the first frequency band included in all MR information in the cell 1c, so as to determine the coverage level corresponding to the first frequency band in the grid.
It should be noted that fig. 3 only illustrates a case where one grid corresponds to a plurality of cells, and in practical applications, the number of cells corresponding to one grid may be determined according to actual base station conditions.
In addition, when the average weighting processing is performed, the weighting coefficient of the average value of the coverage levels of the first frequency band included in all the MR information in each cell is the ratio of the number of MR information of the cell in the grid to the total number of MR information of all the cells in the grid.
In order to make the present solution clearer, how to determine the coverage levels respectively corresponding to the plurality of different first frequency bands corresponding to each grid according to the MR information corresponding to the grid is described by a formula here:
coverage level corresponding to the first band corresponding to the grid a ═ i (number of MR information in the cell a1 × + number of MR information in the cell a1 × + average value of coverage level of the first band corresponding to the cell a2 × + … + number of MR information in the cell a2 × + average value of coverage level of the first band corresponding to the cell An)
The cell a1, the cell a2, and up to the cell An are all cells in the grid a, the average value of the coverage levels of the first frequency band corresponding to the cell a1 is the average value of the coverage levels of the first frequency band included in all MR information in the cell a1, the average value of the coverage levels of the first frequency band corresponding to the cell a2 is the average value of the coverage levels of the first frequency band included in all MR information in the cell a2, and similarly, the average value of the coverage levels of the first frequency band corresponding to the cell An is the average value of the coverage levels of the first frequency band included in all MR information in the cell An.
S102, according to the coverage levels of the plurality of different first frequency bands corresponding to the grid, the coverage level of the second frequency band corresponding to the grid is obtained.
In this embodiment of the application, the second frequency band is a frequency band of a second communication system, and the second communication system is a communication system different from the first communication system, for example, the first communication system may be a fourth-generation mobile communication technology 4G, and the second communication system may be a fifth-generation mobile communication technology 5G.
In a possible implementation manner, the following calculation is performed for each grid, respectively, to obtain a coverage level of a second frequency band corresponding to the grid:
first, for each first frequency band, the coverage level of the second frequency band corresponding to the first frequency band is obtained according to the coverage level of the first frequency band and the mapping relation between the coverage level of the first frequency band and the coverage level of the second frequency band.
For example, the mapping relationship between the coverage level of the first frequency band and the coverage level of the second frequency band may include: a coverage level difference between the coverage level of the first frequency band and the coverage level of the second frequency band.
Illustratively, the coverage level difference may be determined from historical drive test data. Specifically, for an area commonly covered by a first frequency band and a second frequency band, a test level of the first frequency band and a test level of the second frequency band are respectively obtained, and then, the coverage level difference is determined according to a difference between the test level of the first frequency band and the test level of the second frequency band. The external environment is always kept consistent when the test level of the first frequency band and the test level of the second frequency band are obtained; for example, for an indoor environment, a test level of a first frequency band and a test level of a second frequency band in the indoor environment are respectively obtained, and a coverage level difference value belonging to the indoor environment is obtained according to the test level of the first frequency band and the test level of the second frequency band in the indoor environment; and aiming at the outdoor environment, respectively acquiring the test level of the first frequency band and the test level of the second frequency band in the outdoor environment, and acquiring the outdoor coverage level difference value according to the test level of the first frequency band and the test level of the second frequency band in the outdoor environment.
In practical application, a large amount of drive test data in a preset time period can be subjected to statistical analysis, so that a coverage level difference with higher accuracy is obtained. For example, a plurality of sets of drive test data acquired in the same environment in one month are respectively calculated, and an average value of the coverage level differences corresponding to the plurality of sets of drive test data is determined as the coverage level difference between the coverage level of the first frequency band and the coverage level of the second frequency band.
In this step, the coverage level difference between the coverage level of the first frequency band and the coverage level of the second frequency band can be obtained according to the historical drive test data, and it is not necessary to consume manpower and material resources to perform special measurement when the coverage condition of the second communication system network is obtained, so that the cost is reduced.
And then, according to the coverage levels of the second frequency bands respectively corresponding to the plurality of different first frequency bands, obtaining the coverage level of the second frequency band corresponding to the grid. For example, weighting processing may be performed according to the coverage levels of the second frequency bands corresponding to the plurality of different first frequency bands, so as to obtain the coverage level of the second frequency band corresponding to the grid, where in the weighting processing, a weighting coefficient of the coverage level of the second frequency band corresponding to each first frequency band is: the ratio of the number of the sampling points corresponding to the first frequency band to the sum of the numbers of the sampling points corresponding to the different first frequency bands.
The grid of the target area may be an indoor grid or an outdoor grid, and the calculation method for obtaining the coverage level of the second frequency band corresponding to the indoor grid according to the coverage levels of the plurality of different first frequency bands corresponding to the indoor grid is similar to the calculation method for obtaining the coverage level of the second frequency band corresponding to the outdoor grid according to the coverage levels of the plurality of different first frequency bands corresponding to the outdoor grid.
In this step, for each grid, the obtained coverage level of the second frequency band can accurately reflect the wireless network coverage condition of the second frequency band in the grid by performing weighting processing on the coverage levels of the second frequency bands respectively corresponding to a plurality of different first frequency bands of the grid, the calculation mode of weighting processing is simple, and the data processing efficiency can be ensured to be high by adopting weighting processing.
S103, acquiring the coverage condition of the second communication system network of the target area according to the coverage level of the second frequency band corresponding to each grid in the target area.
In this step, the coverage level of the second frequency band corresponding to each grid in the target area may be statistically analyzed to obtain the coverage condition of the second communication system network in the target area, and for example, the statistical analysis of the coverage level of the second frequency band corresponding to each grid in the target area may be a statistical analysis of the number of grids whose coverage levels meet the operation and maintenance requirements.
When the statistical analysis is performed on the number of grids whose coverage levels of the second frequency band in the target region meet the operation and maintenance requirements, the statistical analysis can be specifically realized by the following method: and determining the number of grids with the coverage level of the second frequency band being greater than or equal to the preset threshold according to the coverage level of the second frequency band corresponding to each grid in the target area and the preset threshold, and determining the coverage condition of the second communication system network in the target area according to the ratio of the number of grids with the coverage level of the second frequency band being greater than or equal to the preset threshold to the total number of grids in the target area.
Of course, in the embodiment of the present application, obtaining the coverage status of the second communication system network in the target area according to the coverage level of the second frequency band corresponding to each grid in the target area may also be implemented in other manners, which is not limited in the embodiment of the present application. The coverage condition of the second communication system network, which is obtained according to the coverage level of the second frequency band obtained in the embodiment of the present application and obtains the target area according to the obtained coverage level of the second frequency band, belongs to the protection scope of the present application.
Here, the grid of the target area may be an indoor grid or an outdoor grid, and a difference between the coverage levels of the first frequency band and the second frequency band belonging to the indoor grid is different from a difference between the coverage levels of the first frequency band and the second frequency band belonging to the outdoor grid.
In this embodiment, the coverage levels of a plurality of different first frequency bands corresponding to each grid in a target area are obtained, where the first frequency band is a frequency band of a first communication system, then the coverage level of a second frequency band corresponding to the grid is obtained according to the coverage levels of the plurality of different first frequency bands corresponding to the grid, where the second frequency band is a frequency band of a second communication system, and then the network coverage condition of a second communication system network in the target area is obtained according to the coverage levels of the second frequency bands corresponding to the grids in the target area. By adopting the method provided by the embodiment, the coverage level difference value of the second frequency band is obtained according to the coverage level difference value between the coverage level of the first frequency band of the first communication system and the coverage level of the second frequency band of the second communication system, and the accurate prediction of the coverage condition of the network of the second communication system is realized through the equivalent coverage algorithm from the first communication system to the second communication system.
In a specific embodiment, the first communication system is 4G, the second communication system is 5G, and the plurality of different first frequency bands include: 900MHz frequency band, 1800MHz frequency band and 2100MHz frequency band, the second frequency band is 3.5GHz frequency band.
By adopting the technical scheme in the embodiment shown in fig. 1, the coverage level of each grid 3.5GHz band can be obtained according to the coverage levels of the 900MHz frequency band, the 1800MHz frequency band and the 2100MHz frequency band of each grid in the target area, and the network coverage condition of the 3.5GHz band in the target area can be determined according to the coverage level of each grid 3.5GHz band.
Specifically, in the first step, MR information reported by a terminal in the target detection area is obtained, where the MR information reported by the terminal includes a base station identifier, a cell identifier, frequency band information (frequency of a first frequency band), a coverage level of the first frequency band, and the like.
And step two, determining the MR information corresponding to each grid according to the position information of all the terminals and the latitude and longitude information of each grid included in the target area.
And thirdly, carrying out average weighting processing on each first frequency band of each grid according to the coverage level of the first frequency band in the MR information corresponding to each grid, and respectively obtaining the coverage level of the 900MHz frequency band, the coverage level of the 1800MHz frequency band and the coverage level of the 2100MHz frequency band corresponding to the grid.
And fourthly, aiming at each grid, respectively obtaining the coverage level of the grid, the 3.5GHz band corresponding to the coverage level of the 900MHz band, the 3.5GHz band corresponding to the coverage level of the 1800MHz band, and the 3.5GHz band corresponding to the coverage level of the 2100MHz band according to the coverage level of the 900MHz band, the coverage level of the 1800MHz band, the coverage level of the 2100MHz band.
Wherein, the difference value of the coverage level of the 900MHz frequency band and the coverage level of the 3.5GHz frequency band belonging to the indoor grid is 10 dB; the difference between the coverage level of the 1800MHz band and the coverage level of the 3.5GHz band belonging to the indoor grid is 0 dB; the difference between the coverage level of the 2100MHz band and the coverage level of the 3.5GHz band belonging to the indoor grid is-2 dB;
the difference between the coverage level of the 900MHz band and the coverage level of the 3.5GHz band belonging to the outdoor grid is 15 dB; the difference between the covering level of the 1800MHz frequency band and the covering level of the 3.5GHz frequency band belonging to the outdoor grid is 5 dB; the difference in the coverage level between the 2100MHz band coverage level and the 3.5GHz band coverage level belonging to the outdoor grid is 3 dB.
And fifthly, carrying out average weighting processing on each grid according to the coverage level of the 3.5GHz frequency band corresponding to the coverage level of the 900MHz frequency band, the coverage level of the 3.5GHz frequency band corresponding to the coverage level of the 1800MHz frequency band and the coverage level of the 3.5GHz frequency band corresponding to the coverage level of the 2100MHz frequency band, so as to obtain the coverage level of the 3.5GHz frequency band corresponding to the grid.
And step six, acquiring the coverage condition of the second communication system network of the target area according to the coverage levels of the 3.5GHz frequency bands corresponding to all grids of the target area.
Referring to fig. 4, in fig. 4, 1 indicates a cell of a 4G base station in a 900MHz band, 2 indicates a cell of a 4G base station in a 1800MHz band, 3 indicates a cell of a 4G base station in a 2100MHz band, 12 indicates an edge of a building, 4 indicates an indoor grid, 8 indicates an outdoor grid, 5 indicates MR information that an indoor user occupies a 900MHz band cell, 6 indicates MR information that an indoor user occupies a 1800MHz band cell, 7 indicates MR information that an indoor user occupies a 2100MHz band cell, 9 indicates MR information that an outdoor user occupies a 900MHz band cell, 10 indicates MR information that an outdoor user occupies a 1800MHz band cell, 11 indicates MR information that an outdoor user occupies a 2100MHz band cell, 13 indicates a predicted coverage level of an outdoor 3.5GHz band, 14 indicates a predicted coverage level of an indoor 3.5GHz band, and 15 indicates a cell of a 5G base station in a 3.5GHz band.
The predicted coverage level of the outdoor 3.5GHz band indicated by 12 in fig. 4 is obtained from the MR information of the outdoor 900MHz band, 1800MHz band, and 2100MHz band cells indicated by 9, 10, and 11, respectively, and the predicted coverage level of the indoor 3.5GHz band indicated by 13 is obtained from the MR information of the indoor 900MHz band, 1800MHz band, and 2100MHz band cells indicated by 5, 6, and 7, respectively.
Through mapping of the coverage levels respectively corresponding to the 900MHz frequency band, the 1800MHz frequency band and the 2100MHz frequency band of the first communication system to the coverage level of the 3.5GHz frequency band of the second communication system, and through calculation in the embodiment shown in fig. 1, the coverage condition of the network of the second communication system can be accurately obtained.
Fig. 5 is a first block diagram of an embodiment of a network coverage status detection apparatus according to the present invention. As shown in fig. 5, the network coverage monitoring apparatus 50 provided in this embodiment includes: an acquisition module 51 and a processing module 52.
The obtaining module 51 is configured to obtain coverage levels of a plurality of different first frequency bands corresponding to each grid in a target area, where the first frequency band is a frequency band of a first communication system.
A processing module 52, configured to obtain a coverage level of a second frequency band corresponding to the grid according to the coverage levels of the multiple different first frequency bands corresponding to the grid, where the second frequency band is a frequency band of a second communication system; and acquiring the coverage condition of the second communication system network of the target area according to the coverage level of the second frequency band corresponding to each grid in the target area.
Optionally, the processing module 52 is specifically configured to, for each first frequency band, obtain, according to the coverage level of the first frequency band and a mapping relationship between the coverage level of the first frequency band and the coverage level of the second frequency band, a coverage level of the second frequency band corresponding to the first frequency band; and obtaining the coverage level of the second frequency band corresponding to the grid according to the coverage levels of the second frequency bands corresponding to the plurality of different first frequency bands respectively.
Optionally, the mapping relationship between the coverage level of the first frequency band and the coverage level of the second frequency band includes: a difference between the coverage level of the first frequency band and the coverage level of the second frequency band.
Optionally, a difference between the coverage levels of the first frequency band and the second frequency band belonging to the indoor grid is different from a difference between the coverage levels of the first frequency band and the second frequency band belonging to the outdoor grid.
Optionally, the processing module 52 is specifically configured to perform weighting processing on the coverage levels of the second frequency bands respectively corresponding to the multiple different first frequency bands to obtain the coverage level of the second frequency band corresponding to the grid
Optionally, when the processing module 52 performs weighting processing on the coverage levels of the second frequency bands corresponding to the multiple different first frequency bands, the weighting coefficient of the coverage level of the second frequency band corresponding to each first frequency band is: and the total number of points adopted by the measurement report of the cell corresponding to the first frequency band in the grid.
Optionally, the first communication system is 4G, and the second communication system is 5G.
Optionally, the plurality of different first frequency bands are 900MHz frequency bands, 1800MHz frequency bands, and 2100MHz frequency bands; the second frequency band is a 3.5GHz frequency band.
The apparatus of this embodiment may be used to implement the technical solution of the method embodiment shown in fig. 1, and the implementation principle and the technical effect are similar, which are not described herein again.
Fig. 6 is a schematic structural diagram of a second embodiment of a network coverage status detection apparatus according to the present invention. As shown in fig. 6, the apparatus 600 of the present embodiment includes: memory 601, processor 602, and computer programs.
Wherein a computer program is stored in the memory 601 and configured to be executed by the processor 602 to implement the network coverage status detection method shown in the embodiment of fig. 1. The related description and the related effects corresponding to the steps in fig. 1 can be correspondingly understood, and are not described in detail herein.
In this embodiment, the memory 601 and the processor 602 are connected by a bus 603.
Embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the network coverage status detection method shown in the embodiment of fig. 1 in the present invention.
An embodiment of the present invention further provides a program product, where the program product includes a computer program, where the computer program is stored in a readable storage medium, and at least one processor of the network coverage status detection apparatus can read the computer program from the readable storage medium, and the at least one processor executes the computer program to make the network coverage status detection apparatus execute the network coverage status detection method according to any one of the first aspect.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of modules is merely a division of logical functions, and an actual implementation may have another division, for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware form, and can also be realized in a form of hardware and a software functional module.
Program code for implementing methods of embodiments of the present invention may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
Further, while operations are depicted in a particular order, this should be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single implementation. Conversely, various features that are described in the context of a single implementation can also be implemented in multiple implementations separately or in any suitable subcombination.
Finally, it should be noted that: although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are merely exemplary forms of implementing the claims; 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; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for detecting network coverage condition, comprising:
acquiring coverage levels of a plurality of different first frequency bands corresponding to each grid in a target area, wherein the first frequency bands are frequency bands of a first communication system;
obtaining a coverage level of a second frequency band corresponding to the grid according to the coverage levels of the plurality of different first frequency bands corresponding to the grid, wherein the second frequency band is a frequency band of a second communication system;
and acquiring the coverage condition of the second communication system network of the target area according to the coverage level of the second frequency band corresponding to each grid in the target area.
2. The method of claim 1, wherein obtaining the coverage level of the second frequency band corresponding to the grid according to the coverage levels of the plurality of different first frequency bands corresponding to the grid comprises:
for each first frequency band, obtaining the coverage level of the second frequency band corresponding to the first frequency band according to the coverage level of the first frequency band and the mapping relation between the coverage level of the first frequency band and the coverage level of the second frequency band;
and obtaining the coverage level of the second frequency band corresponding to the grid according to the coverage levels of the second frequency bands corresponding to the plurality of different first frequency bands respectively.
3. The method of claim 2, wherein the mapping of the coverage level of the first band to the coverage level of the second band comprises: a difference between the coverage level of the first frequency band and the coverage level of the second frequency band.
4. The method of claim 3, wherein a difference in coverage level between the first frequency band and the second frequency band belonging to the indoor grid is different from a difference in coverage level between the first frequency band and the second frequency band belonging to the outdoor grid.
5. The method of claim 2, wherein obtaining the coverage level of the second frequency band corresponding to the grid according to the coverage levels of the second frequency bands corresponding to the plurality of different first frequency bands respectively comprises:
and weighting the coverage levels of the second frequency bands respectively corresponding to the plurality of different first frequency bands to obtain the coverage level of the second frequency band corresponding to the grid.
6. The method according to claim 5, wherein when the weighting processing is performed on the coverage levels of the second frequency bands corresponding to the plurality of different first frequency bands, the weighting coefficient of the coverage level of the second frequency band corresponding to each first frequency band is: and the total number of points adopted by the measurement report of the cell corresponding to the first frequency band in the grid.
7. The method according to claim 1, wherein the first communication standard is a fourth generation mobile communication technology 4G, and the second communication standard is a fifth generation mobile communication technology 5G.
8. The method of claim 1, wherein the plurality of different first frequency bands are: 900MHz frequency band, 1800MHz frequency band, 2100MHz frequency band; the second frequency band is a 3.5GHz frequency band.
9. A network coverage status detection apparatus, comprising:
the device comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring the coverage level of a plurality of different first frequency bands corresponding to each grid in a target area, and the first frequency band is the frequency band of a first communication system;
a processing module, configured to obtain a coverage level of a second frequency band corresponding to the grid according to the coverage levels of the plurality of different first frequency bands corresponding to the grid, where the second frequency band is a frequency band of a second communication system; and the coverage condition of the second communication system network of the target area is obtained according to the coverage level of the second frequency band corresponding to each grid in the target area.
10. A readable storage medium, comprising: carrying out a procedure;
the program, when executed by a processor, is operative to perform a network coverage condition detection method according to any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911104609.2A CN110831057B (en) | 2019-11-13 | 2019-11-13 | Network coverage condition detection method, device and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911104609.2A CN110831057B (en) | 2019-11-13 | 2019-11-13 | Network coverage condition detection method, device and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110831057A true CN110831057A (en) | 2020-02-21 |
| CN110831057B CN110831057B (en) | 2023-03-24 |
Family
ID=69554445
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911104609.2A Active CN110831057B (en) | 2019-11-13 | 2019-11-13 | Network coverage condition detection method, device and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110831057B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115243313A (en) * | 2021-04-23 | 2022-10-25 | 中国移动通信集团四川有限公司 | 5G network identification method and device and electronic equipment |
| CN115314908A (en) * | 2022-09-06 | 2022-11-08 | 中国联合网络通信集团有限公司 | Network planning method and device, electronic equipment and storage medium |
| CN115334523A (en) * | 2021-05-10 | 2022-11-11 | 中国移动通信集团设计院有限公司 | Network coverage measuring and calculating method, device, equipment and computer readable storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070010241A1 (en) * | 2005-07-08 | 2007-01-11 | Cta Communications, Inc. | Method and System for Evaluating Radio Coverage |
| CN103108344A (en) * | 2013-01-16 | 2013-05-15 | 上海大唐移动通信设备有限公司 | Network coverage evaluation method and device |
| CN103581983A (en) * | 2012-07-19 | 2014-02-12 | 华为技术服务有限公司 | Cell level intensity estimation method, related equipment and related system in multi-network type |
| CN107567035A (en) * | 2016-06-30 | 2018-01-09 | 华为技术有限公司 | A kind of network coverage evaluation method and device |
| WO2018086415A1 (en) * | 2016-11-14 | 2018-05-17 | 华为技术有限公司 | Method for constructing wireless grid and base station |
| CN108271165A (en) * | 2016-12-30 | 2018-07-10 | 中国移动通信集团浙江有限公司 | A kind of Forecasting Methodology and system of base station network signal covering state |
| CN109982333A (en) * | 2017-12-27 | 2019-07-05 | 中国移动通信集团广东有限公司 | A kind of site selecting method and system that TD-LTE depth covering benefit is blind |
-
2019
- 2019-11-13 CN CN201911104609.2A patent/CN110831057B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070010241A1 (en) * | 2005-07-08 | 2007-01-11 | Cta Communications, Inc. | Method and System for Evaluating Radio Coverage |
| CN103581983A (en) * | 2012-07-19 | 2014-02-12 | 华为技术服务有限公司 | Cell level intensity estimation method, related equipment and related system in multi-network type |
| CN103108344A (en) * | 2013-01-16 | 2013-05-15 | 上海大唐移动通信设备有限公司 | Network coverage evaluation method and device |
| CN107567035A (en) * | 2016-06-30 | 2018-01-09 | 华为技术有限公司 | A kind of network coverage evaluation method and device |
| WO2018086415A1 (en) * | 2016-11-14 | 2018-05-17 | 华为技术有限公司 | Method for constructing wireless grid and base station |
| CN108271165A (en) * | 2016-12-30 | 2018-07-10 | 中国移动通信集团浙江有限公司 | A kind of Forecasting Methodology and system of base station network signal covering state |
| CN109982333A (en) * | 2017-12-27 | 2019-07-05 | 中国移动通信集团广东有限公司 | A kind of site selecting method and system that TD-LTE depth covering benefit is blind |
Non-Patent Citations (1)
| Title |
|---|
| 李言兵: "依托GSM900 MR开展NB-IoT覆盖预测的方法", 《移动通信》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115243313A (en) * | 2021-04-23 | 2022-10-25 | 中国移动通信集团四川有限公司 | 5G network identification method and device and electronic equipment |
| CN115243313B (en) * | 2021-04-23 | 2024-04-19 | 中国移动通信集团四川有限公司 | 5G network identification method and device and electronic equipment |
| CN115334523A (en) * | 2021-05-10 | 2022-11-11 | 中国移动通信集团设计院有限公司 | Network coverage measuring and calculating method, device, equipment and computer readable storage medium |
| CN115334523B (en) * | 2021-05-10 | 2023-12-19 | 中国移动通信集团设计院有限公司 | Network coverage measuring and calculating method, device, equipment and computer readable storage medium |
| CN115314908A (en) * | 2022-09-06 | 2022-11-08 | 中国联合网络通信集团有限公司 | Network planning method and device, electronic equipment and storage medium |
| CN115314908B (en) * | 2022-09-06 | 2023-09-05 | 中国联合网络通信集团有限公司 | Network planning method, device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110831057B (en) | 2023-03-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110831057B (en) | Network coverage condition detection method, device and storage medium | |
| CN104853379B (en) | A kind of quality of wireless network appraisal procedure and device | |
| CN108271171B (en) | Building network condition statistical method and device | |
| CN112469066B (en) | 5G network coverage evaluation method and device | |
| CN111356147B (en) | Method and device for positioning faults of indoor partition cells | |
| CN103067928B (en) | A kind of analytical method of network coverage quality and system | |
| CN104754590B (en) | A kind of method and device of assessment long term evolution LTE network site | |
| CN111062525B (en) | Base station address selection method, device, equipment and storage medium for expanding cell | |
| CN106686611B (en) | Method and device for evaluating indoor weak coverage area | |
| CN112950243A (en) | 5G station address planning method and device, electronic equipment and storage medium | |
| CN102957572A (en) | Method and device for evaluating performance of system | |
| CN113365306B (en) | Network analysis method and device, storage medium and computer system | |
| JP2018032939A (en) | Quality estimation device and quality estimation method | |
| CN115239105A (en) | Method and device for evaluating wind resources of in-service wind power plant | |
| CN110475252B (en) | Indoor sub-cell MR weak coverage optimization method and device based on user behavior judgment | |
| CN109982365B (en) | Antenna feeder problem checking method and device based on simulation and MRO data | |
| CN108513306B (en) | Network coverage prediction method based on test big data | |
| CN112995893B (en) | Fingerprint positioning method, system, server and storage medium | |
| CN107995630B (en) | Wireless network coverage signal data calculation method and device | |
| CN116027118B (en) | Electromagnetic environment monitoring method and system applied to weather radar station | |
| CN105493543A (en) | Information processing apparatus, radio communication system, and terminal position estimation method | |
| CN105828342B (en) | Method and device for confirming neighbor relation | |
| CN115379479B (en) | Cell coverage type determining method, device, equipment and storage medium | |
| CN113890833B (en) | Network coverage prediction method, device, equipment and storage medium | |
| CN110839257B (en) | Network quality evaluation method, device and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |