CN108377468B - Wireless network scene evaluation method, device, equipment and medium - Google Patents
Wireless network scene evaluation method, device, equipment and medium Download PDFInfo
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Abstract
The embodiment of the invention provides a wireless network scene evaluation method, a wireless network scene evaluation device, wireless network scene evaluation equipment and a wireless network scene evaluation medium. The evaluation method comprises the following steps: acquiring longitude and latitude information in the reported user position through a mobile network; reading a user plane ticket containing longitude and latitude information and an MRO ticket containing wireless network information, associating the user plane ticket with the MRO ticket, and creating a user fingerprint database; and rasterizing the map according to a preset shape, projecting the wireless environment information in the user fingerprint database to corresponding grids, and calculating to obtain wireless performance indexes in the grids. According to the embodiment of the invention, the scene evaluation based on any plane geometric figure can be realized, and the acquired wireless performance index can completely and accurately reflect the wireless performance index of the area.
Description
Technical Field
The invention belongs to the technical field of communication, and particularly relates to a wireless network scene evaluation method, a wireless network scene evaluation device, computer equipment and a computer storage medium.
Background
At present, scenario evaluation and assessment can only perform wireless Key Performance Indicator (KPI) statistics of a scenario based on MRO (Measurement Report sample data) positioning, whereas MRO positioning can only be fixedly projected to a cell or a base station, which has strong regional boundary limitation, and projected graphics are limited to sectors of the cell or the base station and cannot project other irregular graphics, which may cause that a part of coverage area is not a target image, and a part of area in the target image cannot perform a small range through the cell or the base station. When the related technology is used to perform the wireless performance index statistics on the area S1 shown in fig. 1, only the wireless network information in the sector areas covered by the 5 base stations a1, a2, A3, a4 and a5 included in the sector areas can be collected as shown in fig. 1, and since some sectors cross the area boundary, a part of the area other than S1 is collected, and wireless network information generated by users in all the areas in the range of S1 cannot be collected, which results in inaccurate wireless performance index results and may not truly reflect the wireless performance index of the area S1.
Disclosure of Invention
The embodiment of the invention provides a wireless network scene evaluation method, a wireless network scene evaluation device, computer equipment and a computer storage medium, which realize a scene wireless network coverage evaluation mode based on any plane geometric figure and break through the limitation of the original cell or base station.
In a first aspect, an embodiment of the present invention provides a wireless network scenario evaluation method, where the method includes: acquiring longitude and latitude information in the reported user position through a mobile network; reading a user plane ticket containing longitude and latitude information and a measurement report sample data MRO ticket containing wireless network information, associating the user plane ticket with the MRO ticket, and creating a user fingerprint library which contains the user plane ticket and the MRO ticket which are associated with each other; and rasterizing the map according to a preset shape, projecting the wireless environment information in the user fingerprint database to corresponding grids, and calculating to obtain wireless performance indexes in the grids.
In the foregoing technical solution, preferably, after the step of calculating the wireless performance indicators in each grid, the method further includes: receiving an evaluation request of a custom scene; sequentially judging whether preset points in each grid are in the boundary of the user-defined scene; marking grids with preset points in the boundary of the user-defined scene as target grids; and reading a user fingerprint library in the target grid, and calculating the wireless performance index of the target grid.
In any of the above technical solutions, preferably, the step of reading a user plane ticket including latitude and longitude information and an MRO ticket including wireless network information, associating the user plane ticket and the MRO ticket, and creating a user fingerprint library specifically includes: reading a user plane ticket containing longitude and latitude information, a control plane ticket and an MRO ticket containing wireless network information; and associating the user plane ticket and the MRO ticket through the control plane ticket, and creating a user fingerprint library.
In any of the above technical solutions, preferably, the step of associating the user plane ticket and the MRO ticket with the control plane ticket and creating the user fingerprint library includes: and when the call ticket correlation is carried out, using the same-depth message analysis DPI system to correlate the control plane call ticket, the user plane call ticket and the MRO call ticket, and creating a user fingerprint library.
In any of the above technical solutions, preferably, the step of associating the user plane ticket and the MRO ticket with the control plane ticket and creating the user fingerprint library includes: reading user identification in a user plane ticket, a control plane ticket and an MRO ticket, associating the user plane ticket with the control plane ticket through the user identification, and associating the MRO ticket with the control plane ticket; and associating the user plane call ticket and the MRO call ticket which are all associated with the control plane call ticket, and creating a user fingerprint library.
In any of the above technical solutions, preferably, the step of obtaining the reported longitude and latitude information in the user location through the mobile network specifically includes: and acquiring longitude and latitude information in the user position reported by the application program through an OTT positioning algorithm.
In any of the above technical solutions, preferably, the wireless performance index includes any one or a combination of the following: coverage perception rate, data perception rate, voice perception rate, user perception rate and call completing rate.
In any of the above technical solutions, preferably, the preset point in each grid is a center point of each grid.
On the other hand, the embodiment of the invention provides a wireless network scene evaluation device, and the wireless network scene evaluation device is applied to the wireless network scene evaluation method provided by any one of the technical schemes of the invention. The wireless network scene evaluation device comprises: the positioning unit is used for acquiring longitude and latitude information in the reported user position through a mobile network; the system comprises an association unit, a service center unit and a service center unit, wherein the association unit is used for reading a user plane ticket containing longitude and latitude information and a measurement report sample data MRO ticket containing wireless network information, associating the user plane ticket with the MRO ticket, and creating a user fingerprint library which contains the user plane ticket and the MRO ticket which are associated with each other; and the computing unit is used for rasterizing the map according to a preset shape, projecting the wireless environment information in the user fingerprint database to the corresponding grids, and computing to obtain the wireless performance indexes in the grids.
In any one of the above technical solutions, preferably, the wireless network scenario evaluation apparatus further includes: the receiving unit is used for receiving an evaluation request of a custom scene; the judging unit is used for sequentially judging whether the preset points in each grid are in the boundary of the user-defined scene or not; the marking unit is used for marking the grids with the preset points in the boundary of the user-defined scene as target grids; and the reading unit is used for reading the user fingerprint library in the target grid and calculating the wireless performance index of the target grid.
In any of the above technical solutions, preferably, the association unit specifically includes: the first reading sub-unit is used for reading a user plane ticket containing longitude and latitude information, a control plane ticket and an MRO ticket containing wireless network information; and the first association subunit is used for associating the user plane ticket and the MRO ticket through the control plane ticket and creating a user fingerprint library.
In any of the above technical solutions, preferably, the first association subunit is specifically configured to associate the control plane ticket, the user plane ticket, and the MRO ticket by using the same-depth packet analysis DPI system when performing ticket association, and create a user fingerprint library.
In any of the above technical solutions, preferably, the first association subunit is specifically configured to read a user identifier in a user plane ticket, a control plane ticket, and an MRO ticket, associate the user plane ticket with the control plane ticket through the user identifier, and associate the MRO ticket with the control plane ticket; and associating the user plane call ticket and the MRO call ticket which are all associated with the control plane call ticket, and creating a user fingerprint library.
In any of the above technical solutions, preferably, the positioning unit is specifically configured to obtain longitude and latitude information in the user location reported by the application program through an OTT positioning algorithm.
In any of the above technical solutions, preferably, the wireless performance index includes any one or a combination of the following: coverage perception rate, data perception rate, voice perception rate, user perception rate and call completing rate.
In any of the above technical solutions, preferably, the preset point in each grid is a center point of each grid.
In another aspect, an embodiment of the present invention provides a computer device, where the computer device includes: a processor and a memory storing computer program instructions; when the processor executes the computer program instructions, the wireless network scenario evaluation method provided by any one of the above technical solutions is implemented.
In another aspect, an embodiment of the present invention provides a computer storage medium, where computer program instructions are stored on the computer storage medium, and when the computer program instructions are executed by a processor, the wireless network scenario evaluation method provided in any of the above technical solutions is implemented.
The wireless network scene evaluation method, the wireless network scene evaluation device, the computer equipment and the computer storage medium provided by the embodiment of the invention can acquire longitude and latitude information of a user through a mobile network, and associate a user plane ticket and an MRO ticket through a control plane ticket to acquire wireless network information at the longitude and latitude position of the user, further generate user fingerprint database data, and divide a map according to the same grid, so that when a user-defined scene needs to be evaluated, a scene projection is performed by combining the user fingerprint database data and a user-defined scene layer to acquire a target grid of the user-defined scene, and an infinite performance index of the user-defined scene is calculated according to the user fingerprint database in the target grid. In addition, the embodiment of the invention carries out rasterization projection according to the position through the user fingerprint database with the longitude and latitude positions of the user and the wireless network information, realizes scene evaluation based on any plane geometric figure, and breaks through the limitation of the original cell or base station.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram illustrating a wireless network scenario evaluation in the related art.
Fig. 2 is a flowchart illustrating a wireless network scenario evaluation method according to an embodiment of the present invention.
Fig. 3 is a schematic flowchart illustrating a wireless network scenario evaluation method according to an embodiment of the present invention.
Fig. 4 is a schematic operation flow diagram illustrating a wireless network scenario evaluation method according to an embodiment of the present invention.
Fig. 5 is a schematic flowchart illustrating a wireless network scenario evaluation method according to an embodiment of the present invention.
Fig. 6 shows another flowchart of a wireless network scenario evaluation method according to an embodiment of the present invention.
Fig. 7 shows another flowchart of a wireless network scenario evaluation method according to an embodiment of the present invention.
Fig. 8 is a schematic operation flow diagram illustrating a wireless network scenario evaluation method according to an embodiment of the present invention.
Fig. 9 is a schematic operation flow diagram illustrating a wireless network scenario evaluation method according to an embodiment of the present invention.
Fig. 10 is a schematic diagram illustrating a framework of a wireless network scenarized assessment system according to an embodiment of the present invention.
Fig. 11 shows a further block diagram of the wireless network scenarized assessment system according to an embodiment of the present invention.
Fig. 12 is a schematic diagram of another framework of a wireless network scenarized assessment system according to an embodiment of the present invention.
Fig. 13 is a schematic diagram illustrating a hardware structure of a computer device according to an embodiment of the present invention.
Detailed Description
Features and exemplary embodiments of various aspects of the present invention will be described in detail below, and in order to make objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It will be apparent to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the present invention.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
In order to solve the problems of the prior art, embodiments of the present invention provide a wireless network scenario evaluation method, a wireless network scenario evaluation apparatus, a computer device, and a computer storage medium. First, a wireless network scenario evaluation method provided by the embodiment of the present invention is described below.
Fig. 2 is a flowchart illustrating a wireless network scenario evaluation method according to an embodiment of the present invention. As shown in fig. 2, the wireless network scenario evaluation method provided in this embodiment includes:
s202, acquiring longitude and latitude information in the reported user position through a mobile network;
s204, reading a user plane ticket containing longitude and latitude information and an MRO ticket containing wireless network information, associating the user plane ticket with the MRO ticket, and creating a user fingerprint library, wherein the user fingerprint library comprises the associated user plane ticket and the associated MRO ticket;
and S206, rasterizing the map according to a preset shape, projecting the wireless environment information in the user fingerprint database to corresponding grids, and calculating to obtain wireless performance indexes in each grid.
The wireless network scene evaluation method provided by the invention comprises the steps of firstly obtaining reported longitude and latitude information through a mobile network, and reading and associating a user plane (S1-U) ticket (XDR, External Data Representation) containing the longitude and latitude information and an MRO ticket containing wireless network information when a user carries out information interaction, so that the wireless network information of the user can be associated with the longitude and latitude information, a user fingerprint library containing the wireless network information and the longitude and latitude information is generated, and the wireless network information on each position of the user can be reflected in the user fingerprint library; and then, rasterizing the map, specifically, dividing the map according to a preset grid shape and grid size, and projecting the wireless environment information in the user fingerprint library to the corresponding grid, so that the wireless performance index of the user in each grid can be obtained by calculation, thus the position of the user-defined scene can be projected to the grid corresponding to the user-defined scene after the position of the user-defined scene is known, and the wireless performance index of the user-defined scene can be calculated, thereby realizing scene evaluation based on any plane geometric figure, and ensuring that the obtained wireless performance index can completely and accurately reflect the wireless performance index of the area.
It is conceivable that there are many specific acquisition modes when acquiring the longitude and latitude information in the user location, including acquiring the longitude and latitude information by acquiring a mode of automatically positioning the current location of the user in a mobile Application (APP) by using GPS, a base station, WiFi, and the like.
In addition, when the map is rasterized, the shape and size of the grid provided may be divided according to specific situations, and it is conceivable that the shape of the grid may be rectangular, triangular, hexagonal, rhombic, or the like, and the requirement of the rasterization process can be satisfied as long as the map is divided into patterns without intervals on a geometric plane. In addition, when the area of each grid is set, the smaller the area setting of each grid is, the more detailed the map division is, so that the more accurate the result is when the customized scene is evaluated later.
In addition, when the wireless environment information in the user fingerprint database is projected to the corresponding grid, because the map contains longitude and latitude, the obtained grid is obtained by dividing the two-dimensional map according to the preset size, recording the coordinates of the vertexes of each grid, reading the longitude and latitude information in the user fingerprint database, and projecting the longitude and latitude information and the wireless network information associated with the longitude and latitude information into the grid matched with the grid coordinates, so that the longitude and latitude position information of the grid and the wireless network information generated by the user in the grid are contained in one grid.
During specific processing, firstly, user fingerprint database data including KPI (key performance indicator) data such as coverage perception, data perception, voice perception, user perception and the like is obtained, and longitude and latitude information of a user position is contained in the KPI data. Then, the grid processing of the map is carried out to form N grid by N grids, and the latitude and longitude of the marking points on the map and the boundaries thereof, a configuration table of the latitude and longitude of the grids can be obtained, then, the latitude and longitude of the position of the user are associated with the configuration table of the latitude and longitude of the grids, so that the fingerprint database data of the user after grid processing can be generated, and the KPI index can be subdivided into each grid.
Fig. 3 is a flowchart illustrating a wireless network scenario evaluation method according to an embodiment of the present invention. As shown in fig. 3, the wireless network scenario evaluation method provided in this embodiment includes:
s302, acquiring longitude and latitude information in the reported user position through a mobile network;
s304, reading a user plane ticket containing longitude and latitude information and an MRO ticket containing wireless network information, associating the user plane ticket with the MRO ticket, and creating a user fingerprint library, wherein the user fingerprint library comprises the associated user plane ticket and the associated MRO ticket;
s306, rasterizing the map according to a preset shape, projecting the wireless environment information in the user fingerprint database to corresponding grids, and calculating to obtain wireless performance indexes in each grid;
s308, receiving an evaluation request of a custom scene;
s310, sequentially judging whether preset points in each grid are in the boundary of a user-defined scene;
s312, marking the grids with the preset points in the boundary of the user-defined scene as target grids;
s314, reading the user fingerprint database in the target grid, and calculating the wireless performance index of the target grid.
In this embodiment, after receiving an evaluation request of a custom scene, because the longitude and latitude corresponding to a scene in a map can be queried when the location of the scene is known, it can be sequentially determined whether a preset point in each grid is within the boundary of the custom scene, and the grid of the preset point within the boundary of the custom scene is marked as a target grid, where the shape and the geographic location of the target grid substantially coincide with those of the custom scene, and the target grid includes a plurality of grids, so that a user fingerprint database in the whole target grid is read, and then the whole wireless network information in the target grid is obtained, and at this time, the wireless performance index in the target grid can be calculated.
In one embodiment of evaluating a custom scenario, the specific operational flow steps within the platform are shown in FIG. 4.
For example, when the wireless performance index to be evaluated is the call completing rate, the total incoming call number in the target grid within the preset time needs to be counted through the wireless network information, the total number of the incoming calls within the target grid within the preset time needs to be counted, and the call completing rate in the target grid can be calculated by dividing the total number of the incoming calls by the total number of the incoming calls.
Conceivably, when the target grid is confirmed, the boundary of the custom scene may not be exactly matched with the boundary of the grid, so that the grid division size can be reduced on one hand, and the grid division precision is improved as much as possible; on the other hand, a reasonable rule can be set, and any part of the custom scene is set as the target grid, and the preset point is any point on the grid.
Fig. 5 is a flowchart illustrating a wireless network scenario evaluation method according to an embodiment of the present invention. As shown in fig. 5, the wireless network scenario evaluation method provided in this embodiment includes:
s502, acquiring longitude and latitude information in the reported user position through a mobile network;
s504, reading a user plane ticket containing longitude and latitude information, a control plane ticket and an MRO ticket containing wireless network information;
s506, associating the user plane call ticket and the MRO call ticket through the control plane call ticket, and creating a user fingerprint library, wherein the user fingerprint library comprises the associated user plane call ticket and the MRO call ticket;
and S508, rasterizing the map according to a preset shape, projecting the wireless environment information in the user fingerprint database to corresponding grids, and calculating to obtain wireless performance indexes in the grids.
In this embodiment, when associating the user plane ticket with the MRO ticket, since the user plane ticket and the MRO ticket do not include a corresponding user identifier, they cannot be directly associated with each other, and at this time, the user plane ticket and the MRO ticket are associated with each other by acquiring a control plane (S1-MME) ticket (XDR) and using the control plane ticket as a bridge.
Fig. 6 is a flowchart illustrating a wireless network scenario evaluation method according to an embodiment of the present invention. As shown in fig. 6, the wireless network scenario evaluation method provided in this embodiment includes:
s602, acquiring longitude and latitude information in the reported user position through a mobile network;
s604, reading a user plane ticket containing longitude and latitude information, a control plane ticket and an MRO ticket containing wireless network information;
s606, when the call ticket correlation is carried out, the same DPI system is used for correlating the control plane call ticket, the user plane call ticket and the MRO call ticket, and a user fingerprint library is created, wherein the user fingerprint library comprises the correlated user plane call ticket and the MRO call ticket;
and S608, rasterizing the map according to a preset shape, projecting the wireless environment information in the user fingerprint database to corresponding grids, and calculating to obtain wireless performance indexes in the grids.
In this embodiment, when associating the control plane ticket, the user plane ticket, and the MRO ticket, the same DPI (Deep Packet Inspection) system is used, so that the same DPI system can automatically extract the associated user identifier from the control plane ticket, the user plane ticket, and the MRO ticket, and automatically associate the associated user identifier, so that the user plane ticket containing the latitude and longitude information and the MRO ticket containing the wireless network information can be associated with each other through the control plane ticket using the same DPI system.
Fig. 7 is a flowchart illustrating a wireless network scenario evaluation method according to an embodiment of the present invention. As shown in fig. 7, the wireless network scenario evaluation method provided in this embodiment includes:
s702, acquiring longitude and latitude information in the reported user position through a mobile network;
s704, reading a user plane ticket containing longitude and latitude information, a control plane ticket and an MRO ticket containing wireless network information;
s706, reading the user plane call ticket, the control plane call ticket and the user identifier in the MRO call ticket, associating the user plane call ticket with the control plane call ticket through the user identifier, and associating the MRO call ticket with the control plane call ticket;
s708, associating the user plane call ticket and the MRO call ticket which are associated with the control plane call ticket, and creating a user fingerprint library, wherein the user fingerprint library comprises the associated user plane call ticket and the MRO call ticket;
and S710, rasterizing the map according to a preset shape, projecting the wireless environment information in the user fingerprint database to corresponding grids, and calculating to obtain wireless performance indexes in each grid.
In this embodiment, if the same DPI system cannot be used to automatically associate the user plane ticket, the control plane ticket and the MRO ticket, then, the manual association is carried out, and the user identifications in the user plane call ticket, the control plane call ticket and the MRO call ticket are respectively read, because the control plane ticket contains the user identification related to the user plane ticket and the MRO ticket respectively, therefore, it is necessary to associate the user plane ticket with the control plane ticket through different user identifiers, and associate the MRO ticket with the control plane ticket, after the user plane call ticket and the MRO call ticket are respectively associated with the control plane call ticket, the user plane call ticket and the MRO call ticket can be respectively associated with each other, thereby realizing the association between the longitude and latitude information and the wireless network information, ensuring that when the subsequent rasterization processing is carried out, the user plane ticket and each wireless network information in the MRO ticket have associated longitude and latitude information.
In one embodiment when creating a user fingerprint library, the specific operational flow steps inside the platform are shown in FIG. 8. According to the graph, when a user fingerprint library is created, whether uniform DPI exists or not needs to be judged so as to carry out different subsequent processing.
In an embodiment of the present invention, preferably, the step of acquiring the reported longitude and latitude information in the user location through the mobile network specifically includes: and acquiring longitude and latitude information in the user position reported by the application program through an OTT positioning algorithm.
In this embodiment, when acquiring longitude and latitude information in a reported user location through a mobile network, The longitude and latitude information in The user location reported by an application program may be acquired through an OTT (over The top) positioning algorithm, OTT refers to a mode in which a service provider performs its own service by using other operating networks, and applying OTT technology to a positioning algorithm may be understood as a case where The OTT application program reports user location information when in use, and longitude and latitude information may be extracted to describe The user location.
The OTT positioning algorithm needs to extract longitude and latitude information obtained by the OTT applications through a DPI system of an LTE (Long Term Evolution) network. Generally, the OTT application obtains location information through two http requests, one is a get request and the other is a post method, and the specific steps are shown in fig. 9.
In one embodiment of the present invention, preferably, the wireless performance index includes any one or a combination of the following: coverage perception rate, data perception rate, voice perception rate, user perception rate and call completing rate.
In this embodiment, the wireless performance indicators include any one or combination of: the coverage perception rate, the data perception rate, the voice perception rate, the user perception rate, the call completing rate and other KPI indexes reflecting the coverage condition of wireless network signals, and the wireless performance indexes are generally obtained by reading and calculating in an MRO ticket.
In one embodiment of the present invention, the preset point in each grid is preferably a center point of each grid.
In the embodiment, when the target grid is selected, the preset point in the grid is set as the central point of each grid, so that the grid is marked as the target grid when the central point falls into the self-defined scene, and when the central point of the grid does not fall into the self-defined scene, the area of the grid does not need to be considered to fall into the self-defined scene, so that the error of the boundary can be reduced, and the precision of the calculation result is improved.
Fig. 10 is a block diagram of a wireless network scenario evaluation apparatus 1000 according to an embodiment of the present invention. As shown in fig. 10, the wireless network scenario evaluation apparatus provided in this embodiment includes:
a positioning unit 1002, configured to obtain longitude and latitude information in a reported user location through a mobile network;
an association unit 1004, configured to read a user plane ticket containing latitude and longitude information and an MRO ticket containing wireless network information, associate the user plane ticket and the MRO ticket, and create a user fingerprint library;
the calculating unit 1006 is configured to perform rasterization on the map according to a preset shape, project the wireless environment information in the user fingerprint database to corresponding grids, and calculate a wireless performance index in each grid.
The wireless network scene evaluation device provided by the invention firstly obtains longitude and latitude information reported by a mobile network through a positioning unit 1002, and also reads a user plane (S1-U) call list (XDR, External Data Representation) containing the longitude and latitude information and an MRO call list containing wireless network information when a user carries out information interaction, and associates the user plane (XDR, External Data Representation) and the MRO call list through an association unit 1004, so that the wireless network information of the user can be associated with the longitude and latitude information, a user fingerprint library containing the wireless network information and the longitude and latitude information is produced, and the wireless network information at each position of the user can be reflected in the user fingerprint library; then, the map is rasterized by the computing unit 1006, specifically, the map is divided according to a preset grid shape and a preset grid size, and the wireless environment information in the user fingerprint library is projected into the corresponding grid, so that the wireless performance index of the user in each grid can be calculated, and thus, after the position of the custom scene is known, the position of the custom scene is projected into the grid corresponding to the position of the custom scene, and the wireless performance index of the custom scene can be calculated, thereby realizing scene evaluation based on any plane geometric figure, and ensuring that the acquired wireless performance index can completely and accurately reflect the wireless performance index of the area.
It is conceivable that there are many specific acquisition modes when acquiring the longitude and latitude information in the user location, including acquiring the longitude and latitude information by acquiring a mode of automatically positioning the current location of the user in a mobile Application (APP) by using GPS, a base station, WiFi, and the like.
In addition, when the map is rasterized, the shape and size of the grid provided may be divided according to specific situations, and it is conceivable that the shape of the grid may be rectangular, triangular, hexagonal, rhombic, or the like, and the requirement of the rasterization process can be satisfied as long as the map is divided into patterns without intervals on a geometric plane. In addition, when the area of each grid is set, the smaller the area setting of each grid is, the more detailed the map division is, so that the more accurate the result is when the customized scene is evaluated later.
In addition, when the wireless environment information in the user fingerprint database is projected to the corresponding grid, because the map contains longitude and latitude, the obtained grid is obtained by dividing the two-dimensional map according to the preset size, recording the coordinates of the vertexes of each grid, reading the longitude and latitude information in the user fingerprint database, and projecting the longitude and latitude information and the wireless network information associated with the longitude and latitude information into the grid matched with the grid coordinates, so that the longitude and latitude position information of the grid and the wireless network information generated by the user in the grid are contained in one grid.
During specific processing, firstly, user fingerprint database data including KPI (key performance indicator) data such as coverage perception, data perception, voice perception, user perception and the like is obtained, and longitude and latitude information of a user position is contained in the KPI data. Then, the grid processing of the map is carried out to form N grid by N grids, and the latitude and longitude of the marking points on the map and the boundaries thereof, a configuration table of the latitude and longitude of the grids can be obtained, then, the latitude and longitude of the position of the user are associated with the configuration table of the latitude and longitude of the grids, so that the fingerprint database data of the user after grid processing can be generated, and the KPI index can be subdivided into each grid.
Fig. 11 is a block diagram illustrating a wireless network scenario evaluation apparatus 1100 according to an embodiment of the present invention. As shown in fig. 11, the wireless network scenario evaluation apparatus provided in this embodiment includes:
a positioning unit 1102, configured to acquire longitude and latitude information in the reported user location through a mobile network;
an association unit 1104, configured to read a user plane ticket containing latitude and longitude information and an MRO ticket containing wireless network information, associate the user plane ticket and the MRO ticket, and create a user fingerprint library;
a calculating unit 1106, configured to perform rasterization on the map according to a preset shape, project the wireless environment information in the user fingerprint database to corresponding grids, and calculate wireless performance indexes in each grid;
a receiving unit 1108, configured to receive an evaluation request of a custom scene;
a determining unit 1110, configured to sequentially determine whether preset points in each grid are within a boundary of a user-defined scene;
a marking unit 1112, configured to mark a grid of the preset point within the boundary of the custom scene as a target grid;
the reading unit 1114 is configured to read a user fingerprint database in the target grid and calculate a wireless performance index of the target grid.
In this embodiment, after the evaluation request of the custom scene is received by the receiving unit 1108, since the longitude and latitude corresponding to a scene in the map can be queried when the location of the scene is known, the determining unit 1110 may sequentially determine whether the preset point in each grid is within the boundary of the custom scene, and mark the grid with the preset point within the boundary of the custom scene as the target grid through the marking unit 1112, where the shape and the geographic location of the target grid substantially coincide with the shape and the geographic location of the custom scene, and the target grid includes a plurality of grids, so that the reading unit 1114 reads the user fingerprint library in the whole target grid, and then obtains the whole wireless network information in the target grid, and at this time, the wireless performance index in the target grid may be calculated.
For example, when the wireless performance index to be evaluated is the call completing rate, the total incoming call number in the target grid within the preset time needs to be counted through the wireless network information, the total number of the incoming calls within the target grid within the preset time needs to be counted, and the call completing rate in the target grid can be calculated by dividing the total number of the incoming calls by the total number of the incoming calls.
Conceivably, when the target grid is confirmed, the boundary of the custom scene may not be exactly matched with the boundary of the grid, so that the grid division size can be reduced on one hand, and the grid division precision is improved as much as possible; on the other hand, a reasonable rule can be set, and any part of the custom scene is set as the target grid, and the preset point is any point on the grid.
Fig. 12 is a block diagram illustrating a wireless network scenario evaluation apparatus according to an embodiment of the present invention. As shown in fig. 12, the wireless network scenario evaluation apparatus provided in this embodiment includes:
a positioning unit 1202, configured to obtain longitude and latitude information in the reported user location through a mobile network;
an association unit 1204, configured to read a user plane ticket containing longitude and latitude information and an MRO ticket containing wireless network information, associate the user plane ticket and the MRO ticket, and create a user fingerprint database, where the association unit 1204 includes:
a first reading sub-unit 1206, configured to read a user plane ticket including latitude and longitude information, a control plane ticket, and an MRO ticket including wireless network information;
a first association subunit 1208, configured to associate the user plane ticket and the MRO ticket through the control plane ticket, and create a user fingerprint library;
the calculating unit 1210 is configured to perform rasterization on the map according to a preset shape, project the wireless environment information in the user fingerprint database to corresponding grids, and calculate a wireless performance index in each grid.
In this embodiment, when associating the user plane ticket with the MRO ticket, since the user plane ticket and the MRO ticket do not include a corresponding user identifier, the user plane ticket and the MRO ticket cannot be directly associated with each other, at this time, the user plane ticket including the latitude and longitude information, the control plane (S1-MME) ticket (XDR), and the MRO ticket including the radio network information need to be read through the first reading sub-unit 1206, and the control plane ticket is used as a bridge through the first associating sub-unit 1208 to associate the user plane ticket with the MRO ticket.
In an embodiment of the present invention, preferably, the first association subunit is specifically configured to associate the control plane ticket, the user plane ticket, and the MRO ticket by using the same DPI system when performing ticket association, and create a user fingerprint library.
In this embodiment, when associating the control plane ticket, the user plane ticket, and the MRO ticket, the same DPI (Deep Packet Inspection) system is used, so that the same DPI system can automatically extract the associated user identifier from the control plane ticket, the user plane ticket, and the MRO ticket, and automatically associate the associated user identifier, so that the user plane ticket containing the latitude and longitude information and the MRO ticket containing the wireless network information can be associated with each other through the control plane ticket using the same DPI system.
In an embodiment of the present invention, preferably, the first association subunit is specifically configured to read a user identifier in a user plane ticket, a control plane ticket, and an MRO ticket, associate the user plane ticket with the control plane ticket through the user identifier, and associate the MRO ticket with the control plane ticket; and associating the user plane call ticket and the MRO call ticket which are all associated with the control plane call ticket, and creating a user fingerprint library.
In this embodiment, if the same DPI system cannot be used to automatically associate the user plane ticket, the control plane ticket and the MRO ticket, then, the manual association is carried out, and the user identifications in the user plane call ticket, the control plane call ticket and the MRO call ticket are respectively read, because the control plane ticket contains the user identification related to the user plane ticket and the MRO ticket respectively, therefore, it is necessary that the first association subunit associates the user plane ticket with the control plane ticket through different user identifiers, and associates the MRO ticket with the control plane ticket, after the user plane call ticket and the MRO call ticket are respectively associated with the control plane call ticket, the user plane call ticket and the MRO call ticket can be respectively associated with each other, and then, the association between the longitude and latitude information and the wireless network information is realized, and the fact that each wireless network information has the longitude and latitude information associated with the wireless network information when the subsequent rasterization processing is carried out is guaranteed.
In an embodiment of the present invention, preferably, the positioning unit is specifically configured to obtain, through an OTT positioning algorithm, longitude and latitude information in the user location reported by the application program.
In this embodiment, when acquiring longitude and latitude information in a reported user location through a mobile network, The longitude and latitude information in The user location reported by an application program may be acquired through an OTT (over The top) positioning algorithm, OTT refers to a mode in which a service provider performs its own service by using other operating networks, and applying OTT technology to a positioning algorithm may be understood as a case where The OTT application program reports user location information when in use, and longitude and latitude information may be extracted to describe The user location.
The OTT positioning algorithm needs to extract longitude and latitude information obtained by the OTT applications through a DPI system of an LTE (Long Term Evolution) network. Generally, an OTT application obtains location information through two http requests, a get request and a post method.
In one embodiment of the present invention, preferably, the wireless performance index includes any one or a combination of the following: coverage perception rate, data perception rate, voice perception rate, user perception rate and call completing rate.
In this embodiment, the wireless performance indicators include any one or combination of: the coverage perception rate, the data perception rate, the voice perception rate, the user perception rate, the call completing rate and other KPI indexes reflecting the coverage condition of wireless network signals, and the wireless performance indexes are generally obtained by reading and calculating in an MRO ticket.
In one embodiment of the present invention, the preset point in each grid is preferably a center point of each grid.
In the embodiment, when the target grid is selected, the preset point in the grid is set as the central point of each grid, so that the grid is marked as the target grid when the central point falls into the self-defined scene, and when the central point of the grid does not fall into the self-defined scene, the area of the grid does not need to be considered to fall into the self-defined scene, so that the error of the boundary can be reduced, and the precision of the calculation result is improved.
In another aspect, an embodiment of the present invention provides a computer device, where the computer device includes: a processor and a memory storing computer program instructions; when the processor executes the computer program instructions, the wireless network scenario evaluation method provided by any one of the above technical solutions is implemented. Therefore, the computer device provided by the embodiment of the present invention has all the benefits of the wireless network scenario evaluation method provided by any of the foregoing embodiments, which are not enumerated herein.
In another aspect, an embodiment of the present invention provides a computer storage medium, where computer program instructions are stored on the computer storage medium, and when the computer program instructions are executed by a processor, the wireless network scenario evaluation method provided in any of the above technical solutions is implemented. Therefore, the computer storage medium provided by the embodiment of the present invention has all the benefits of the wireless network scenario evaluation method provided by any of the foregoing embodiments, which are not enumerated herein.
Fig. 13 is a schematic diagram illustrating a hardware structure of a computer device according to an embodiment of the present invention.
The computer device may comprise a processor 301 and a memory 302 in which computer program instructions are stored.
In particular, the processor 301 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured as one or more Integrated circuits implementing embodiments of the present invention.
The processor 301 reads and executes the computer program instructions stored in the memory 302 to implement any one of the wireless network scenario evaluation methods in the above embodiments.
In one example, the computer device may also include a communication interface 303 and a bus 310. As shown in fig. 13, the processor 301, the memory 302, and the communication interface 303 are connected via a bus 310 to complete communication therebetween.
The communication interface 303 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiment of the present invention.
It is to be understood that the invention is not limited to the specific arrangements and instrumentality described above and shown in the drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present invention are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications and additions or change the order between the steps after comprehending the spirit of the present invention.
The functional blocks shown in the above structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the invention are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this patent describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
In addition, in combination with the wireless network scenario evaluation method in the foregoing embodiment, the embodiment of the present invention may provide a computer-readable storage medium to implement. The computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any one of the wireless network scenario assessment methods in the above embodiments.
As will be apparent to those skilled in the art, for convenience and brevity of description, the specific working processes of the systems, modules and units described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present invention, and these modifications or substitutions should be covered within the scope of the present invention.
Claims (10)
1. A wireless network scenario evaluation method is characterized by comprising the following steps:
acquiring longitude and latitude information in the reported user position through a mobile network;
reading a user plane ticket containing the longitude and latitude information, a control plane ticket and a measurement report sample data MRO ticket containing wireless network information, associating the user plane ticket and the MRO ticket through the control plane ticket, and creating a user fingerprint library, wherein the user fingerprint library comprises the associated user plane ticket and the associated MRO ticket;
rasterizing a map according to a preset shape;
and projecting the wireless environment information in the user fingerprint database to corresponding grids, and calculating to obtain wireless performance indexes in each grid.
2. The wireless network scenario evaluation method of claim 1, wherein after the step of calculating the wireless performance indicators in each grid, the method further comprises:
receiving an evaluation request of a custom scene;
sequentially judging whether preset points in each grid are in the boundary of the user-defined scene;
marking the grids of the preset points in the boundary of the user-defined scene as target grids;
reading the user fingerprint library in the target grid, and calculating the wireless performance index of the target grid.
3. The wireless network scenario evaluation method according to claim 1, wherein the step of associating the user plane ticket and the MRO ticket with the control plane ticket and creating a user fingerprint database comprises:
and when the call ticket correlation is carried out, using a message analysis DPI system with the same depth to correlate the control plane call ticket, the user plane call ticket and the MRO call ticket, and creating a user fingerprint library.
4. The wireless network scenario evaluation method according to claim 1, wherein the step of associating the user plane ticket and the MRO ticket with the control plane ticket and creating a user fingerprint database comprises:
reading the user plane ticket, the control plane ticket and the user identifier in the MRO ticket, associating the user plane ticket with the control plane ticket through the user identifier, and associating the MRO ticket with the control plane ticket;
and associating the user plane ticket and the MRO ticket which are associated with the control plane ticket, and creating a user fingerprint database.
5. The wireless network scenario evaluation method according to any one of claims 1 to 4, wherein the step of obtaining the longitude and latitude information in the reported user location through the mobile network comprises:
and acquiring longitude and latitude information in the user position reported by the application program through an OTT positioning algorithm.
6. The wireless network scenario evaluation method of any one of claims 1 to 4,
the wireless performance indicators include any one or combination of: coverage perception rate, data perception rate, voice perception rate, user perception rate and call completing rate.
7. The wireless network scenarized assessment method according to any one of claims 2 to 4, wherein the predetermined point in each grid is a center point of each grid.
8. A wireless network scenario evaluation device, comprising:
the positioning unit is used for acquiring longitude and latitude information in the reported user position through a mobile network;
the correlation unit is used for reading a user plane ticket containing the longitude and latitude information, a control plane ticket and a measurement report sample data MRO ticket containing wireless network information, correlating the user plane ticket and the MRO ticket through the control plane ticket, and creating a user fingerprint library, wherein the user fingerprint library contains the correlated user plane ticket and the correlated MRO ticket;
and the computing unit is used for rasterizing the map according to a preset shape, projecting the wireless environment information in the user fingerprint database to corresponding grids, and computing to obtain wireless performance indexes in each grid.
9. A computer device, the device comprising: a processor and a memory storing computer instructions;
the processor, when executing the computer instructions, implements the wireless network scenario evaluation method of any of claims 1 to 7.
10. A computer storage medium having stored thereon computer instructions which, when executed by a processor, implement the wireless network scenarized assessment method of any of claims 1 to 7.
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| CN109743743A (en) * | 2018-11-28 | 2019-05-10 | 中通服建设有限公司 | Rasterizing monitoring method, electronic equipment, storage medium and the system of network performance |
| CN111294820B (en) * | 2018-12-07 | 2023-04-07 | 中国移动通信集团陕西有限公司 | Method and device for acquiring scene cell information |
| CN109788503A (en) * | 2019-01-08 | 2019-05-21 | 北京中创信测科技股份有限公司 | A method of the calibration of location fingerprint library is carried out using monitoring signaling technology |
| CN111988794B (en) * | 2019-05-22 | 2023-04-14 | 中国移动通信集团陕西有限公司 | Scene-oriented network monitoring method and device |
| CN112105047B (en) * | 2019-06-18 | 2023-04-28 | 中国移动通信集团浙江有限公司 | Flow heat geographic method, device, equipment and computer storage medium |
| CN111624640B (en) * | 2020-04-24 | 2023-02-24 | 汉海信息技术(上海)有限公司 | Positioning method, positioning device, electronic equipment and storage medium |
| CN113820656B (en) * | 2020-06-18 | 2024-09-13 | 中国移动通信集团陕西有限公司 | Terminal positioning method and device and computing equipment |
| CN111885485B (en) * | 2020-07-22 | 2022-07-29 | 中国联合网络通信集团有限公司 | Network quality assessment method and device |
| CN114401528A (en) * | 2021-12-27 | 2022-04-26 | 中国电信股份有限公司 | Deep coverage assessment method and device for wireless network |
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