CN116137715A - 5G network coverage evaluation method, device, computing equipment and computer storage medium - Google Patents
5G network coverage evaluation method, device, computing equipment and computer storage medium Download PDFInfo
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/18—Network planning tools
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/22—Traffic simulation tools or models
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- 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
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Abstract
The invention discloses a 5G network coverage assessment method, a device, a computing device and a computer storage medium, wherein the method comprises the following steps: acquiring first cell information of a 5G main service cell and second cell information of a 5G neighbor cell associated with a 5G network sample point; determining first cell information of a 4G main service cell and second cell information of a 4G neighbor cell associated with a 4G network sample point corresponding to a 5G network sample point according to the first cell information of the 5G main service cell and the second cell information of the 5G neighbor cell; inquiring a pre-constructed 4G network fingerprint library according to the first cell information of the 4G main service cell and the second cell information of the 4G neighbor cell to obtain the position information of a 4G network sample point; determining the position information of the 4G network sample point as the position information of the 5G network sample point; and according to the position information of the 5G network sample points, the 5G network coverage is evaluated, so that an evaluation result is finer and more comprehensive, and the accuracy of the 5G network coverage evaluation is effectively improved.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a 5G network coverage assessment method, apparatus, computing device, and computer storage medium.
Background
With the development of mobile communication technology, the commercial use of 5G networks is accelerated, in order to better plan 5G station building and reasonably utilize resources, the 5G network utilization rate, coverage rate and the like must be evaluated, in the prior art, the 5G coverage condition is evaluated mainly through a simulation means, the simulation evaluation accuracy is low, the implementation means is complex, and the feasibility is low.
Disclosure of Invention
In view of the foregoing, embodiments of the present invention are directed to a 5G network coverage assessment method, apparatus, computing device, and computer storage medium that overcome, or at least partially solve, the foregoing problems.
According to an aspect of the embodiment of the present invention, there is provided a 5G network coverage assessment method, including:
acquiring first cell information of a 5G main service cell and second cell information of a 5G neighbor cell associated with a 5G network sample point;
determining first cell information of a 4G main service cell and second cell information of a 4G neighbor cell associated with a 4G network sample point corresponding to a 5G network sample point according to the first cell information of the 5G main service cell and the second cell information of the 5G neighbor cell;
inquiring a pre-constructed 4G network fingerprint library according to the first cell information of the 4G main service cell and the second cell information of the 4G neighbor cell to obtain the position information of the 4G network sample point, wherein the 4G network fingerprint library stores the following information: position information of a 4G network sample point, first cell information of a 4G main service cell associated with the 4G network sample point, and second cell information of a 4G neighbor cell;
determining the position information of the 4G network sample point as the position information of the 5G network sample point;
and evaluating the 5G network coverage according to the position information of the 5G network sample points.
According to another aspect of the embodiment of the present invention, there is provided a 5G network coverage assessment apparatus, including:
the acquisition module is suitable for acquiring first cell information of a 5G main service cell and second cell information of a 5G neighbor cell associated with a 5G network sample point;
the first determining module is suitable for determining the first cell information of the 4G main service cell and the second cell information of the 4G neighbor cell associated with the 4G network sample point corresponding to the 5G network sample point according to the first cell information of the 5G main service cell and the second cell information of the 5G neighbor cell;
the query module is suitable for querying a pre-constructed 4G network fingerprint library according to the first cell information of the 4G main service cell and the second cell information of the 4G neighbor cell to obtain the position information of the 4G network sample point, wherein the 4G network fingerprint library stores the following information: position information of a 4G network sample point, first cell information of a 4G main service cell associated with the 4G network sample point, and second cell information of a 4G neighbor cell;
a second determining module adapted to determine the location information of the 4G network sample point as the location information of the 5G network sample point;
and the evaluation module is suitable for evaluating the 5G network coverage according to the position information of the 5G network sample points.
According to yet another aspect of an embodiment of the present invention, there is provided a computing device including: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface are communicated with each other through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the 5G network coverage evaluation method.
According to still another aspect of the embodiments of the present invention, there is provided a computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to perform operations corresponding to the 5G network coverage assessment method described above.
According to the scheme provided by the invention, the 5G network sample points are converted into the 4G network sample points, the position information of the 4G network sample points is determined, so that the position information of the 5G network sample points is determined, the 5G network coverage assessment is performed based on the determined position information of the 5G network sample points, so that the assessment result is finer and more comprehensive, and because the more accurate position information can be obtained, the accuracy of the 5G network coverage assessment is effectively improved, and the analysis can be more accurately positioned.
The foregoing description is only an overview of the technical solutions of the embodiments of the present invention, and may be implemented according to the content of the specification, so that the technical means of the embodiments of the present invention can be more clearly understood, and the following specific implementation of the embodiments of the present invention will be more apparent.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
fig. 1 shows a flowchart of a 5G network coverage assessment method provided by an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a 5G network coverage assessment device according to an embodiment of the present invention;
FIG. 3 illustrates a schematic diagram of a computing device provided by an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Fig. 1 shows a flowchart of a 5G network coverage assessment method according to an embodiment of the present invention. As shown in fig. 1, the method comprises the steps of:
step S101, acquiring first cell information of a 5G main service cell and second cell information of a 5G neighbor cell associated with a 5G network sample point.
Specifically, the 5G network sample point is a location point where the user equipment is located, and the user equipment actively reports first cell information of the 5G primary service cell and second cell information of the 5G neighbor cell, so that the first cell information of the 5G primary service cell and the second cell information of the 5G neighbor cell, which are reported by the user equipment, can be determined as first cell information of the 5G primary service cell and second cell information of the 5G neighbor cell associated with the 5G network sample point.
The first cell information is related information of the 5G primary serving cell, for example, the first cell information includes: cell global identity CGI and field strength information RSRP;
the second cell information is related information of the 5G neighbor cell, for example, the second cell information includes: the physical cell identity PCI, frequency point information Freq, field strength information RSRP.
Step S102, according to the first cell information of the 5G main service cell and the second cell information of the 5G neighbor cell, determining the first cell information of the 4G main service cell and the second cell information of the 4G neighbor cell associated with the 4G network sample point corresponding to the 5G network sample point.
Because the user equipment cannot realize the output of the position information of the 5G network sample point, and in order to accurately perform the 5G network coverage assessment, the embodiment determines the position information of the 4G network sample point corresponding to the 5G network sample point by means of conversion and query, thereby determining the position information of the 5G network sample point, and the specific implementation is referred to step S102-step S104.
Specifically, the first cell information of the 5G primary serving cell associated with the 5G network sample point is converted into the first cell information of the 4G primary serving cell associated with the 4G network sample point corresponding to the 5G network sample point, and the second cell information of the 5G neighbor cell associated with the 5G network sample point is converted into the second cell information of the 4G neighbor cell associated with the 4G network sample point corresponding to the 5G network sample point.
And step S103, inquiring a pre-constructed 4G network fingerprint library according to the first cell information of the 4G main service cell and the second cell information of the 4G neighbor cell to obtain the position information of the 4G network sample point.
In this embodiment, a 4G network fingerprint library is pre-built, and the 4G network fingerprint library stores the following information: the location information of the 4G network sample point, the first cell information of the 4G primary serving cell associated with the 4G network sample point, and the second cell information of the 4G neighbor cell are easily available in the 4G communication field.
Therefore, after determining the first cell information of the 4G primary serving cell and the second cell information of the 4G neighbor cell associated with the 4G network sample point corresponding to the 5G network sample point according to step S102, the 4G network fingerprint library may be queried according to the first cell information of the 4G primary serving cell and the second cell information of the 4G neighbor cell, for example, the first cell information of the 4G primary serving cell and the second cell information of the 4G neighbor cell are matched with the first cell information of the 4G primary serving cell and the second cell information of the 4G neighbor cell in the 4G network fingerprint library, and the location information corresponding to the first cell information of the 4G primary serving cell and the second cell information of the 4G neighbor cell on the matching is determined as the location information of the 4G network sample point.
In practical application of 4G network communications, the location information of each grid, the first cell information of the 4G main serving cell associated with the grid, and the second cell information of the 4G neighbor cell may be recorded by dividing the grids, where the location information of the grid, the first cell information of the 4G main serving cell associated with the grid, and the second cell information of the 4G neighbor cell are stored in the 4G network fingerprint library, and after the first cell information of the 4G main serving cell and the second cell information of the 4G neighbor cell are determined according to step S102, the location information of the grid to which the 4G network sample point belongs may be determined by querying the 4G network fingerprint library, and the location information of the grid may be determined as the location information of the 4G network sample point.
Step S104, determining the position information of the 4G network sample point as the position information of the 5G network sample point.
After determining the location information of the 4G network sample point, the location information of the 4G network sample point may be determined as the location information of the 5G network sample point, thereby obtaining an estimated location.
Step S105, according to the position information of the 5G network sample points, the 5G network coverage is evaluated.
After determining the location information of the 5G network sample point, the 5G network coverage may be evaluated based on the location information of the 5G network sample point, where the quality of the 5G network coverage and the field strength of the 5G network coverage are mainly evaluated.
In an alternative embodiment of the present invention, the first cell information includes: cell global identification and field intensity information;
according to the first cell information of the 5G main service cell, determining the first cell information of the 4G main service cell associated with the 4G network sample point corresponding to the 5G network sample point can be further realized by the following method:
acquiring frequency point information of a 5G main service cell;
inquiring a 4G/5G frequency point mapping table according to the frequency point information of the 5G main service cell to obtain mapped 4G frequency point information;
screening 4G cells which are co-located with the 5G main service cells and have frequency point information matched with the mapped 4G frequency point information, determining the 4G cells as 4G main service cells associated with 4G network sample points corresponding to the 5G network sample points, and obtaining cell global identifiers of the 4G main service cells;
and calculating the field intensity information of the 4G main service cell according to the field intensity information of the 5G main service cell and a preset conversion field intensity threshold value.
Specifically, the ue may report the frequency point information of the 5G primary serving cell associated with the 5G network sample point, so that the frequency point information of the 5G primary serving cell can be obtained. The 4G/5G frequency point mapping table records the mapping relation between the 4G frequency point information and the 5G frequency point information, so that the 4G/5G frequency point mapping table is queried according to the frequency point information of the 5G main service cell, and the mapped 4G frequency point information is obtained. The different frequency point intervals correspond to different 4G/5G frequency point mapping tables, so after obtaining the frequency point information of the 5G main service cell, the frequency point interval where the frequency point information of the 5G main service cell is located needs to be determined first, and then the 4G/5G frequency point mapping table with the association relation with the frequency point interval is queried to obtain mapped 4G frequency point information. The mapped 4G frequency point information obtained by the query here specifies the condition to be satisfied by the frequency point information of the 4G primary serving cell associated with the 4G network sample point corresponding to the 5G network sample point.
Then, determining the cell global identification and field intensity information of the 4G main service cell associated with the 4G network sample point corresponding to the 5G network sample point by the following method:
screening 4G cells which are co-located with the 5G main service cells and have frequency point information matched with the mapped 4G frequency point information, determining the 4G cells as 4G main service cells associated with 4G network sample points corresponding to 5G network sample points, obtaining cell global identifiers of the 4G main service cells, and calculating the field intensity information of the 4G main service cells according to the field intensity information of the 5G main service cells and a preset conversion field intensity threshold value.
Specifically, each cell has a unique cell global identifier, which is used for uniquely determining one cell, and the 5G industrial parameter table can be queried according to the cell global identifier of the 5G main service cell, wherein the 5G industrial parameter table stores the following information: the cell global identity, the physical cell identity, the frequency point information and the position information, so as to determine the position information of the 5G main service cell, for example, the position information can be expressed by longitude and latitude information. Then, a geographical range is defined by taking the position information of the 5G main serving cell as a center, a preset length threshold is taken as a radius, 4G cells in the geographical range are screened out, and the screened 4G cells are considered to be co-located with the 5G main serving cell, wherein the preset length threshold is set by a person skilled in the art according to practical experience, such as 20m, and the preset length threshold is only used for illustration and is not limited in any way. The location information of each 4G cell, the global cell identity, the frequency point information are known, and thus, the 4G cells within the above geographical range can be screened by calculating the distance between the two cells from the location information of each 4G cell and the location information of the 5G primary serving cell.
After 4G cells are screened out, frequency point information of the 4G cells is matched with the 4G frequency point information obtained by mapping, and if the frequency point information of the screened 4G cells is matched with the mapped 4G frequency point information, the screened 4G cells are determined to be 4G main service cells associated with 4G network sample points corresponding to 5G network sample points.
The field intensity of the 5G network is converted into the scene of the 4G network, loss exists, the preset conversion field intensity threshold value is a field intensity path loss value, and the field intensity information of the 4G main service cell=the field intensity information of the 5G main service cell-the preset conversion field intensity threshold value. Specifically, when the frequency point information of the 5G main service cell is in different frequency point intervals, the preset conversion field intensity threshold is different, and the specific calculation formula is as follows:
field strength information of 4G primary serving cell rsrp=5g primary serving cell RSRP-xdb formula (1)
Field strength information of 4G primary serving cell rsrp=5g primary serving cell RSRP-ydb formula (2)
Specifically, the formula (1) or the formula (2) should be adopted, and the frequency point interval where the frequency point information of the 5G main serving cell is located is determined. The values of x and y can be determined according to practical experience, and the values of x and y are different.
In an alternative embodiment of the present invention, the second cell information includes: physical cell identification, frequency point information and field intensity information;
according to the second cell information of the 5G neighbor cell, determining the second cell information of the 4G neighbor cell associated with the 4G network sample point corresponding to the 5G network sample point can be further realized by the following method:
inquiring a 5G industrial parameter table to obtain 5G industrial parameter information of a 5G neighbor cell, and determining a cell global identification of the 5G neighbor cell according to the 5G industrial parameter information, wherein the 5G industrial parameter information of the 5G neighbor cell is 5G industrial parameter information which is the same as frequency point information and physical cell identification of the 5G neighbor cell in the 5G industrial parameter table and corresponds to a 5G cell which is closest to a 5G main service cell;
determining the cell global identification and field intensity information of the 4G neighbor cells associated with the 4G network sample points corresponding to the 5G network sample points according to the cell global identification and field intensity information of the 5G neighbor cells;
and inquiring a 4G industrial parameter table according to the cell global identification of the 4G neighbor cell to obtain the physical cell identification and frequency point information of the 4G neighbor cell.
Specifically, the 5G reference table stores a piece of 5G reference information, one piece of 5G reference information corresponds to one 5G cell, after obtaining frequency point information and physical cell identification of a 5G neighbor cell, the 5G reference table can be queried according to the frequency point information and the physical cell identification of the 5G neighbor cell to obtain at least one piece of 5G reference information with the same frequency point information and physical cell identification, that is, the frequency point information and the physical cell identification in the 5G reference information are identical to the frequency point information and the physical cell identification of the 5G neighbor cell. In practical application, the physical cell identifiers and the frequency point information of a plurality of 5G cells may be the same, so that it is also necessary to determine which 5G industrial parameter information in at least one piece of 5G industrial parameter information is the 5G neighbor cell according to the position information of the 5G cell and the position information of the 5G main serving cell recorded in the 5G industrial parameter information. According to the position information of the 5G main service cell and the position information of the 5G cell recorded in at least one piece of 5G industrial parameter information, the distance between the 5G cell and the 5G main service cell is calculated respectively, and the 5G industrial parameter information of the 5G cell closest to the distance is determined as the 5G industrial parameter information of the 5G adjacent cell. The cell global identification CGI of the 5G neighbor cell can be determined through the 5G industrial parameter information, then the cell global identification and the field intensity information of the 4G neighbor cell associated with the 4G network sample point corresponding to the 5G network sample point are determined according to the cell global identification CGI and the field intensity information of the 5G neighbor cell, after the cell global identification of the 4G neighbor cell is determined, a 4G industrial parameter table can be queried according to the cell global identification of the 4G neighbor cell, and physical cell identification and frequency point information of the 4G neighbor cell are obtained through query, wherein the 4G industrial parameter table stores the following information: cell global identity, physical cell identity, frequency point information and position information.
Optionally, determining, according to the cell global identifier and the field intensity information of the 5G neighbor cell, the cell global identifier and the field intensity information of the 4G neighbor cell associated with the 4G network sample point corresponding to the 5G network sample point further includes:
inquiring a 4G/5G frequency point mapping table according to the frequency point information of the 5G neighbor cell to obtain mapped 4G frequency point information;
screening 4G cells which are co-located with the 5G adjacent cells and have frequency point information matched with the mapped 4G frequency point information, determining the 4G cells as 4G adjacent cells associated with 4G network sample points corresponding to the 5G network sample points, and obtaining cell global identifiers of the 4G adjacent cells;
and calculating the field intensity information of the 4G neighbor cell corresponding to the 4G network sample point according to the field intensity information of the 5G neighbor cell and a preset conversion field intensity threshold value.
Optionally, screening the 4G cells co-located with the 5G neighbor cells and having frequency point information matched with the mapped 4G frequency point information, and determining the 4G cells as 4G neighbor cells associated with the 4G network sample points corresponding to the 5G network sample points further includes:
determining the position information of a 5G neighbor cell according to the 5G industrial parameter information;
screening 4G cells in a geographical range with the position information of 5G neighbor cells as a center and a preset length threshold as a radius;
if the frequency point information of the screened 4G cell is matched with the mapped 4G frequency point information, the screened 4G cell is determined to be a 4G neighbor cell associated with the 4G network sample point corresponding to the 5G network sample point.
The manner of determining the cell global identifier and the field strength information of the 4G neighbor cell associated with the 4G network sample point corresponding to the 5G network sample point is similar to the manner of determining the cell global identifier and the field strength information of the 4G primary service cell associated with the 4G network sample point corresponding to the 5G network sample point, and the manner of screening and determining the 4G neighbor cell associated with the 4G network sample point corresponding to the 5G network sample point is similar to the manner of determining the 4G primary service cell associated with the 4G network sample point corresponding to the 5G network sample point, which is not repeated herein.
The above embodiment of the present invention has the following advantages: (1) The data does not occupy storage space resources, and the associated information is convenient to use;
(2) More accurate position information can be obtained, and the 5G analysis can be more accurately positioned;
(3) The determined position information is used as the position information of the 5G network sample points to be evaluated, so that the 5G coverage condition is evaluated, and the evaluation accuracy is improved;
(4) The 4G data and 5G data related to the conversion are easy to obtain, such as 4G project, 5G project, 4G MDT data related to 4G network fingerprint library and the like
(5) The rules are simple and clear, the operation is simple and easy, the feasibility is strong, and the large-scale production and the application are easy to form.
According to the scheme provided by the invention, the 5G network sample points are converted into the 4G network sample points, the position information of the 4G network sample points is determined, so that the position information of the 5G network sample points is determined, the 5G network coverage assessment is performed based on the determined position information of the 5G network sample points, so that the assessment result is finer and more comprehensive, and because the more accurate position information can be obtained, the accuracy of the 5G network coverage assessment is effectively improved, and the analysis can be more accurately positioned.
Fig. 2 is a schematic structural diagram of a 5G network coverage assessment device according to an embodiment of the present invention. As shown in fig. 2, the apparatus includes: an acquisition module 201, a first determination module 202, a query module 203, a second determination module 204, and an evaluation module 205.
The acquiring module 201 is adapted to acquire first cell information of a 5G main serving cell and second cell information of a 5G neighbor cell associated with a 5G network sample point;
the first determining module 202 is adapted to determine, according to the first cell information of the 5G primary serving cell and the second cell information of the 5G neighbor cell, the first cell information of the 4G primary serving cell and the second cell information of the 4G neighbor cell associated with the 4G network sample point corresponding to the 5G network sample point;
the query module 203 is adapted to query a pre-constructed 4G network fingerprint library according to the first cell information of the 4G main serving cell and the second cell information of the 4G neighbor cell, to obtain the location information of the 4G network sample point, where the 4G network fingerprint library stores the following information: position information of a 4G network sample point, first cell information of a 4G main service cell associated with the 4G network sample point, and second cell information of a 4G neighbor cell;
a second determining module 204 adapted to determine the location information of the 4G network sample point as the location information of the 5G network sample point;
the evaluation module 205 is adapted to evaluate the 5G network coverage based on the location information of the 5G network sample points.
Optionally, the first cell information includes: cell global identification and field intensity information;
the first determination module is further adapted to: acquiring frequency point information of a 5G main service cell;
inquiring a 4G/5G frequency point mapping table according to the frequency point information of the 5G main service cell to obtain mapped 4G frequency point information;
screening 4G cells which are co-located with the 5G main service cells and have frequency point information matched with the mapped 4G frequency point information, determining the 4G cells as 4G main service cells associated with 4G network sample points corresponding to the 5G network sample points, and obtaining cell global identifiers of the 4G main service cells;
and calculating the field intensity information of the 4G main service cell according to the field intensity information of the 5G main service cell and a preset conversion field intensity threshold value.
Optionally, the first determination module is further adapted to: inquiring a 5G industrial parameter table according to the cell global identification of the 5G main service cell, and determining the position information of the 5G main service cell;
screening 4G cells in a geographical range with the position information of the 5G main serving cell as a center and a preset length threshold as a radius;
and if the frequency point information of the screened 4G cell is matched with the mapped 4G frequency point information, determining the screened 4G cell as a 4G main service cell associated with the 4G network sample point corresponding to the 5G network sample point.
Optionally, the second cell information includes: physical cell identification, frequency point information and field intensity information;
the first determination module is further adapted to: inquiring a 5G industrial parameter table to obtain 5G industrial parameter information of a 5G neighbor cell, and determining a cell global identification of the 5G neighbor cell according to the 5G industrial parameter information, wherein the 5G industrial parameter information of the 5G neighbor cell is 5G industrial parameter information which is the same as frequency point information and physical cell identification of the 5G neighbor cell in the 5G industrial parameter table and corresponds to a 5G cell which is closest to a 5G main service cell;
determining the cell global identification and field intensity information of the 4G neighbor cells associated with the 4G network sample points corresponding to the 5G network sample points according to the cell global identification and field intensity information of the 5G neighbor cells;
and inquiring a 4G industrial parameter table according to the cell global identification of the 4G neighbor cell to obtain the physical cell identification and frequency point information of the 4G neighbor cell.
Optionally, the first determination module is further adapted to: inquiring a 4G/5G frequency point mapping table according to the frequency point information of the 5G neighbor cell to obtain mapped 4G frequency point information;
screening 4G cells which are co-located with the 5G adjacent cells and have frequency point information matched with the mapped 4G frequency point information, determining the 4G cells as 4G adjacent cells associated with 4G network sample points corresponding to the 5G network sample points, and obtaining cell global identifiers of the 4G adjacent cells;
and calculating the field intensity information of the 4G neighbor cell corresponding to the 4G network sample point according to the field intensity information of the 5G neighbor cell and a preset conversion field intensity threshold value.
Optionally, the first determination module is further adapted to: determining the position information of a 5G neighbor cell according to the 5G industrial parameter information;
screening 4G cells in a geographical range with the position information of 5G neighbor cells as a center and a preset length threshold as a radius;
if the frequency point information of the screened 4G cell is matched with the mapped 4G frequency point information, the screened 4G cell is determined to be a 4G neighbor cell associated with the 4G network sample point corresponding to the 5G network sample point.
Optionally, the 4G look-up table stores the following information: cell global identification, physical cell identification, frequency point information and position information;
the 5G look-up table stores the following information: cell global identity, physical cell identity, frequency point information and position information.
According to the scheme provided by the invention, the 5G network sample points are converted into the 4G network sample points, the position information of the 4G network sample points is determined, so that the position information of the 5G network sample points is determined, the 5G network coverage assessment is performed based on the determined position information of the 5G network sample points, so that the assessment result is finer and more comprehensive, and because the more accurate position information can be obtained, the accuracy of the 5G network coverage assessment is effectively improved, and the analysis can be more accurately positioned.
The embodiment of the invention provides a non-volatile computer storage medium, which stores at least one executable instruction, and the computer executable instruction can execute the 5G network coverage assessment method in any of the above method embodiments.
FIG. 3 illustrates a schematic diagram of a computing device according to an embodiment of the present invention, and the embodiment of the present invention is not limited to a specific implementation of the computing device.
As shown in fig. 3, the computing device may include: a processor (processor), a communication interface (Communications Interface), a memory (memory), and a communication bus.
Wherein: the processor, communication interface, and memory communicate with each other via a communication bus. A communication interface for communicating with network elements of other devices, such as clients or other servers, etc. The processor is configured to execute the program, and may specifically perform relevant steps in the embodiment of the 5G network coverage assessment method for a computing device.
In particular, the program may include program code including computer-operating instructions.
The processor may be a central processing unit, CPU, or specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present invention. The one or more processors included by the computing device may be the same type of processor, such as one or more CPUs; but may also be different types of processors such as one or more CPUs and one or more ASICs.
And the memory is used for storing programs. The memory may comprise high-speed RAM memory or may further comprise non-volatile memory, such as at least one disk memory.
The program may be specifically configured to cause a processor to perform the 5G network coverage assessment method in any of the above-described method embodiments. The specific implementation of each step in the procedure may refer to the corresponding steps and corresponding descriptions in the units in the above 5G network coverage assessment embodiment, which are not repeated herein. It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the apparatus and modules described above may refer to corresponding procedure descriptions in the foregoing method embodiments, which are not repeated herein.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general-purpose systems may also be used with the teachings herein. The required structure for a construction of such a system is apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It will be appreciated that the teachings of embodiments of the present invention described herein may be implemented in a variety of programming languages, and the above description of specific languages is provided for disclosure of enablement and best mode of the embodiments of the present invention.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the above description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be construed as reflecting the intention that: i.e., an embodiment of the invention that is claimed, requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the apparatus of the embodiments may be adaptively changed and disposed in one or more apparatuses different from the embodiments. The modules or units or components of the embodiments may be combined into one module or unit or component and, furthermore, they may be divided into a plurality of sub-modules or sub-units or sub-components. Any combination of all features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or units of any method or apparatus so disclosed, may be used in combination, except insofar as at least some of such features and/or processes or units are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings), may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.
Various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that some or all of the functionality of some or all of the components according to embodiments of the present invention may be implemented in practice using a microprocessor or Digital Signal Processor (DSP). Embodiments of the present invention may also be implemented as a device or apparatus program (e.g., a computer program and a computer program product) for performing a portion or all of the methods described herein. Such a program embodying the embodiments of the present invention may be stored on a computer readable medium, or may have the form of one or more signals. Such signals may be downloaded from an internet website, provided on a carrier signal, or provided in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. Embodiments of the invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specifically stated.
Claims (10)
1. A 5G network coverage assessment method, comprising:
acquiring first cell information of a 5G main service cell and second cell information of a 5G neighbor cell associated with a 5G network sample point;
determining first cell information of a 4G main service cell and second cell information of a 4G neighbor cell associated with a 4G network sample point corresponding to the 5G network sample point according to the first cell information of the 5G main service cell and the second cell information of the 5G neighbor cell;
inquiring a pre-constructed 4G network fingerprint library according to first cell information of a 4G main service cell and second cell information of a 4G neighbor cell to obtain position information of a 4G network sample point, wherein the 4G network fingerprint library stores the following information: position information of a 4G network sample point, first cell information of a 4G main service cell associated with the 4G network sample point, and second cell information of a 4G neighbor cell;
determining the position information of the 4G network sample point as the position information of the 5G network sample point;
and evaluating the 5G network coverage according to the position information of the 5G network sample point.
2. The method of claim 1, wherein the first cell information comprises: cell global identification and field intensity information;
the determining, according to the first cell information of the 5G primary serving cell, the first cell information of the 4G primary serving cell associated with the 4G network sample point corresponding to the 5G network sample point further includes:
acquiring frequency point information of a 5G main service cell;
inquiring a 4G/5G frequency point mapping table according to the frequency point information of the 5G main service cell to obtain mapped 4G frequency point information;
screening 4G cells which are co-located with the 5G main service cells and have frequency point information matched with the mapped 4G frequency point information, determining the 4G cells as 4G main service cells associated with 4G network sample points corresponding to the 5G network sample points, and obtaining cell global identifiers of the 4G main service cells;
and calculating the field intensity information of the 4G main service cell according to the field intensity information of the 5G main service cell and a preset conversion field intensity threshold value.
3. The method of claim 2, wherein the screening 4G cells co-located with the 5G primary serving cell and having frequency point information matching the mapped 4G frequency point information, determining the 4G cells as 4G primary serving cells associated with 4G network sample points corresponding to the 5G network sample points further comprises:
inquiring a 5G industrial parameter table according to the cell global identification of the 5G main service cell, and determining the position information of the 5G main service cell;
screening 4G cells in a geographical range with the position information of the 5G main serving cell as a center and a preset length threshold as a radius;
and if the frequency point information of the screened 4G cell is matched with the mapped 4G frequency point information, determining the screened 4G cell as a 4G main service cell associated with the 4G network sample point corresponding to the 5G network sample point.
4. The method of any of claims 1-3, wherein the second cell information comprises: physical cell identification, frequency point information and field intensity information;
the determining, according to the second cell information of the 5G neighbor cell, the second cell information of the 4G neighbor cell associated with the 4G network sample point corresponding to the 5G network sample point further includes:
inquiring a 5G industrial parameter table to obtain 5G industrial parameter information of a 5G adjacent cell, and determining a cell global identification of the 5G adjacent cell according to the 5G industrial parameter information, wherein the 5G industrial parameter information of the 5G adjacent cell is 5G industrial parameter information corresponding to a 5G cell which is the same as frequency point information and physical cell identification of the 5G adjacent cell in the 5G industrial parameter table and is closest to a 5G main service cell;
determining the cell global identification and field intensity information of the 4G neighbor cells associated with the 4G network sample points corresponding to the 5G network sample points according to the cell global identification and field intensity information of the 5G neighbor cells;
and inquiring a 4G industrial parameter table according to the cell global identification of the 4G neighbor cell to obtain the physical cell identification and frequency point information of the 4G neighbor cell.
5. The method of claim 4, wherein the determining the cell global identity and the field strength information of the 4G neighbor cell associated with the 4G network sample point corresponding to the 5G network sample point according to the cell global identity and the field strength information of the 5G neighbor cell further comprises:
inquiring a 4G/5G frequency point mapping table according to the frequency point information of the 5G neighbor cell to obtain mapped 4G frequency point information;
screening 4G cells which are co-located with the 5G neighbor cells and have frequency point information matched with the mapped 4G frequency point information, determining the 4G cells as 4G neighbor cells associated with the 4G network sample points corresponding to the 5G network sample points, and obtaining cell global identifiers of the 4G neighbor cells;
and calculating the field intensity information of the 4G neighbor cell corresponding to the 4G network sample point according to the field intensity information of the 5G neighbor cell and a preset conversion field intensity threshold value.
6. The method of claim 5, wherein the screening the 4G cell co-located with the 5G neighbor cell and having frequency point information matching the mapped 4G frequency point information, determining the 4G cell as the 4G neighbor cell associated with the 4G network sample point corresponding to the 5G network sample point further comprises:
determining the position information of the 5G neighbor cell according to the 5G industrial parameter information;
screening 4G cells in a geographical range with the position information of 5G neighbor cells as a center and a preset length threshold as a radius;
and if the frequency point information of the screened 4G cell is matched with the mapped 4G frequency point information, determining the screened 4G cell as a 4G neighbor cell associated with the 4G network sample point corresponding to the 5G network sample point.
7. The method of claim 4, wherein the 4G look-up table stores the following information: cell global identification, physical cell identification, frequency point information and position information;
the 5G project table stores the following information: cell global identity, physical cell identity, frequency point information and position information.
8. A 5G network coverage assessment apparatus, comprising:
the acquisition module is suitable for acquiring first cell information of a 5G main service cell and second cell information of a 5G neighbor cell associated with a 5G network sample point;
the first determining module is suitable for determining the first cell information of the 4G main service cell and the second cell information of the 4G neighbor cell associated with the 4G network sample point corresponding to the 5G network sample point according to the first cell information of the 5G main service cell and the second cell information of the 5G neighbor cell;
the query module is suitable for querying a pre-constructed 4G network fingerprint library according to the first cell information of the 4G main service cell and the second cell information of the 4G neighbor cell to obtain the position information of the 4G network sample point, wherein the 4G network fingerprint library stores the following information: position information of a 4G network sample point, first cell information of a 4G main service cell associated with the 4G network sample point, and second cell information of a 4G neighbor cell;
a second determining module adapted to determine the location information of the 4G network sample point as the location information of the 5G network sample point;
and the evaluation module is suitable for evaluating the 5G network coverage according to the position information of the 5G network sample points.
9. A computing device, comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
the memory is configured to store at least one executable instruction, where the executable instruction causes the processor to perform operations corresponding to the 5G network coverage assessment method according to any one of claims 1 to 7.
10. A computer storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the 5G network coverage assessment method of any one of claims 1-7.
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