CN114422947A - Method, device, equipment, storage medium and program for positioning 5G measurement report - Google Patents
Method, device, equipment, storage medium and program for positioning 5G measurement report Download PDFInfo
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Abstract
The positioning method, the device, the equipment, the storage medium and the program of the 5G measurement report do not need geometric calculation of 5G MR positioning parameters to obtain longitude and latitude, directly utilize the 4G MR carrying AGPS in a 4G communication network, form rasterized wireless signal characteristics through long-time 4G MR data accumulation, utilize the characteristic of common site construction of a 5G base station and a 4G base station 1:1 in the related technology, realize rasterized positioning of the 5G MR through the similarity of 4G/5G signals of the same physical station to a transmission link of the same position point, have high positioning result precision, avoid position estimation deviation caused by a complex wireless environment, and rasterized 5G MR data can be applied to accurately positioning wireless network quality problem points, accurately guide wireless network planning and optimization, accurately analyze user perception, the operation efficiency of the 5G network is improved.
Description
Technical Field
The present disclosure relates to the field of wireless communication technologies, and in particular, to a method, an apparatus, a device, a storage medium, and a program for positioning a 5G measurement report.
Background
With the rapid development of the 4G/5G communication network, the communication network architecture is increasingly complex, users put higher requirements on the performance and quality of the communication network, the maintenance and optimization difficulty of operators is increased, and the traditional mainstream network quality evaluation mode and means are difficult to meet the requirements. Therefore, Measurement Reports (MR) reported by the mobile phone terminal have the characteristics of large data volume, low cost, reality, comprehensiveness and high accuracy of evaluation results, and are widely applied to analysis and evaluation of communication networks and user perception.
MR position information is the basis for accurate evaluation and localization of network problems. Currently, a 4G terminal supports an Assisted GPS (AGPS) technology, and a 4G MR continuously reports data carrying the longitude and latitude of the AGPS in the process of using a 4G communication network at a certain position, so that high-precision position information can be obtained; the 5G terminal does not have the AGPS capability, the 5G service is used at the same position, and the 5G MR has no latitude and longitude information, so that the analysis and judgment of the network problem have large deviation. In the related technology, the longitude and latitude positions of the 5G MR are estimated by mainly depending on parameters such as Time Advance (TA), arrival angle (HAOA), Reference Signal Received Power (RSRP) and the like in the 5G MR through a geometric position relation and propagation path loss by using a mathematical method for solving. Due to the multipath transmission, reflection, diffraction and other phenomena of wireless signals, the positioning accuracy of the 5G MR is low, and the deep application of the 5G MR data cannot be accurately supported.
Disclosure of Invention
The 5G measurement report positioning method, the device, the equipment, the storage medium and the program provided by the embodiment of the disclosure are used for positioning the 5G measurement report, applying the positioned 5G measurement report to the analysis of the 5G terminal position and the network quality, supporting 5G network optimization, network planning, customer complaint support, market support and the like, and improving the operation efficiency of the 5G communication network.
The embodiment of the disclosure provides a method for positioning a 5G measurement report, which includes:
collecting a 4G measurement report and a 5G measurement report, and mapping the 4G measurement report to a corresponding geographic grid according to position information carried by the 4G measurement report;
performing statistical processing on the 4G measurement reports falling into the same geographic grid to form a first combined feature library which is characterized by a first time advance and a first arrival angle carried by the 4G measurement reports;
acquiring a 4G/5G combined work-parameter table established by the characteristics of 4G/5G co-site and co-orientation, and determining a 4G measurement report of the same site and the same orientation as the 5G measurement report based on the 5G measurement report and the 4G/5G combined work-parameter table;
respectively converting a second time advance and a second arrival angle carried by the 5G measurement report by taking the first time advance and the first arrival angle as references, and determining the 4G measurement report where the first time advance and the first arrival angle are equal to the converted second time advance and the converted second arrival angle so as to determine that the geographic grid where the 4G measurement report is located represents the position of the 5G measurement report.
In some embodiments, in the foregoing positioning method provided in this disclosure, after forming a first joint feature library that features a first time advance and a first arrival angle carried by the 4G measurement report, and before acquiring a 4G/5G joint reference table established by a feature that a 4G/5G co-site is co-located, the method further includes:
constructing a second combined feature library which is characterized by a first average path loss value of a 4G service sector obtained by converting the reference signal received power carried by the 4G measurement report and a second average path loss value of a 4G adjacent region;
after the determined geographic grid corresponding to the 4G measurement report characterizes the position of the 5G measurement report, the method further includes:
generating 5G path loss characteristic vectors related to the 5G service sector and the 5G adjacent region according to the reference signal receiving power carried by the 5G measurement report;
searching the first average path loss value and the second average path loss value of the geographic grid where the determined 4G measurement report is located in the second combined feature library, and generating a plurality of 4G path loss feature vectors according to the searched first average path loss value and second average path loss value by taking each geographic grid as a unit;
and calculating a spearman correlation coefficient of the 5G path loss feature vector and each 4G path loss feature vector, and taking the coordinate of the geographic grid corresponding to the 4G path loss feature vector with the largest spearman correlation coefficient as the coordinate of the 5G measurement report to realize accurate positioning of the 5G measurement report.
In some embodiments, in the above positioning method provided in the embodiment of the present disclosure, the statistical processing is performed on the 4G measurement report falling into the same geographic grid, so as to form a first joint feature library that is characterized by a first time advance and a first arrival angle carried by the 4G measurement report, which specifically includes:
counting the total number of the 4G measurement reports, a first statistic of the first time advance and a second statistic of the first arrival angle of each 4G serving sector in the same geographic grid, and taking the first statistic and the second statistic of the 4G serving sectors, which are three in the total number of the 4G measurement reports, as feature values corresponding to the geographic grids to obtain a first joint feature library, wherein the first statistic characterizes the concentration trend of the first time advance and the second statistic characterizes the concentration trend of the first arrival angle.
In some embodiments, in the foregoing positioning method provided in this disclosure, calculating a spearman correlation coefficient between the 5G path loss feature vector and each of the 4G path loss feature vectors specifically includes:
comparing the 5G path loss feature vector with each 4G path loss feature vector, and only reserving the 4G path loss feature vectors of the shared adjacent regions; and calculating the spearman correlation coefficient of the 5G path loss characteristic vector and the 4G path loss characteristic vector of the shared adjacent region.
In some embodiments, in the above positioning method provided in the embodiments of the present disclosure, before acquiring the 4G measurement report and the 5G measurement report, the method further includes:
establishing or updating a 4G/5G joint work participation table, wherein the 4G/5G joint work participation table records the ID of a 4G base station, the ID of a 4G sector, the position of the 4G sector, the azimuth angle of the 4G sector and the 4G physical cell identification in a 4G communication network, and the ID of a 5G base station, the ID of a 5G sector, the position of the 5G sector, the azimuth angle of the 5G sector and the 5G physical cell identification in a 5G communication network, wherein the 4G sector and the 5G sector with the same ID have the same site and the same azimuth.
In some embodiments, in the foregoing positioning method provided in this disclosure, before mapping the 4G measurement report into a corresponding geographic grid according to the location information carried in the 4G measurement report for the first time, the method further includes: the geographic locations are rasterized and the coordinates of each geographic grid are recorded.
Based on the same inventive concept, the embodiment of the present disclosure further provides a positioning apparatus for 5G measurement report, including:
the mapping module is configured to collect a 4G measurement report and a 5G measurement report, and map the 4G measurement report to a corresponding geographic grid according to position information carried by the 4G measurement report;
a statistical module configured to perform statistical processing on the 4G measurement reports falling into the same geographic grid to form a first joint feature library characterized by a first time advance and a first arrival angle carried by the 4G measurement reports;
the matching module is configured to acquire a 4G/5G combined work-parameter table established by the characteristics of the same site and the same direction of a 4G/5G, and determine the 4G measurement report in the same site and the same direction of the 5G measurement report based on the 5G measurement report and the 4G/5G combined work-parameter table;
a positioning module, configured to convert, with the first time advance and the first arrival angle as references, a second time advance and a second arrival angle carried by the 5G measurement report respectively, and determine the 4G measurement report where the first time advance and the first arrival angle are equal to the converted second time advance and the converted second arrival angle, so as to determine that the geographic grid where the 4G measurement report is located represents the position of the 5G measurement report.
Based on the same inventive concept, the embodiment of the present disclosure further provides a computer device, including: a memory for storing a computer program; a processor for implementing the steps of any of the above positioning methods when executing the computer program.
Based on the same inventive concept, the disclosed embodiments also provide a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the computer program implements any of the above positioning methods.
Based on the same inventive concept, the disclosed embodiments provide a computer program product, comprising a computer program, which when executed by a processor implements any of the above positioning methods.
The beneficial effects of the disclosed embodiment are as follows:
the positioning method, device, storage medium and program for 5G measurement report provided by the embodiment of the disclosure do not need geometric calculation of 5G MR positioning parameters to obtain longitude and latitude, but directly utilize 4G MR carrying AGPS in a 4G communication network to form rasterized wireless signal characteristics through long-time 4G MR data accumulation, and then utilize the characteristic of 5G base station and 4G base station 1:1 co-site construction in related technologies, implement rasterized positioning of 5G MR through the similarity of 4G/5G signals of the same physical station to a same position point propagation link, have high positioning result precision, avoid position estimation deviation caused by complex wireless environment, rasterized 5G MR data can be applied to accurately positioning wireless network quality problem points, accurately guide wireless network planning and optimization, accurately analyze user perception, the operation efficiency of the 5G network is improved.
Drawings
Fig. 1 is a flowchart of a method for positioning a 5G measurement report according to an embodiment of the present disclosure;
fig. 2 is a specific flowchart of a positioning method for 5G measurement report according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of geographic rasterization provided by an embodiment of the present disclosure;
FIG. 4 is a schematic mapping diagram of a 4G/5G communication network and a geographic grid according to an embodiment of the present disclosure;
FIG. 5 is a diagram illustrating TA and HAOA in a measurement report according to an embodiment of the present disclosure;
FIG. 6 is a schematic diagram of a geographic grid corresponding to one TA and one HAOA provided by an embodiment of the present disclosure;
fig. 7 is a schematic diagram of positioning a 5G measurement report based on a 4G measurement report provided by an embodiment of the present disclosure;
fig. 8 is a schematic diagram of a positioning apparatus for 5G measurement report provided by an embodiment of the present disclosure;
fig. 9 is a schematic diagram of a computer device provided by an embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the disclosure.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
After receiving the measurement control of the 4G communication network, the 4G terminal reports a 4G Measurement Report (MR), wherein the content comprises: 4G base station ID, 4G sector ID, 4G serving cell RSRP, 4G serving cell TA, location data (longitude and latitude), and the like. After receiving measurement control of the 5G communication network, the 5G terminal reports a 5G Measurement Report (MR), wherein the content comprises: 5G base station ID, 5G sector ID, 5G serving cell RSRP, 5G serving cell TA data, etc., without location (longitude and latitude) data. Where TA represents Time Advance (Time Advance), which may represent the distance between the terminal and the antenna port of the base station. HAOA represents an Angle-of-Arrival (Angle-of-Arrival), which characterizes the relative bearing of the terminal to the base station sector. RSRP represents Reference Signal Receiving Power (Reference Signal Receiving Power), and a path loss value, i.e., a path loss value, which represents a difference between the transmission Power of the wireless Signal at the antenna port and the Power received by the terminal, may be calculated based on RSRP data.
As can be seen from the above, the 5G measurement report does not have position data, and therefore, it is necessary to provide a positioning method to position the 5G measurement report, apply the positioned 5G measurement report to the analysis of the 5G terminal position and the network quality, support 5G network optimization, network planning, customer complaint support, market support, and the like, and improve the operation efficiency of the 5G communication network.
Based on this, the embodiment of the present disclosure provides a method for positioning a 5G measurement report, as shown in fig. 1, which may include the following steps:
s101, collecting a 4G measurement report and a 5G measurement report, and mapping the 4G measurement report to a corresponding geographic grid according to position information carried by the 4G measurement report;
s102, performing statistical processing on the 4G measurement reports falling into the same geographic grid to form a first combined feature library which is characterized by a first time advance and a first arrival angle carried by the 4G measurement reports;
s103, acquiring a 4G/5G combined work parameter table established by the feature that the 4G/5G co-site is in the same direction, and determining a 4G measurement report in the same site and direction as the 5G measurement report based on the 5G measurement report and the 4G/5G combined work parameter table;
and S104, respectively converting a second time advance and a second arrival angle carried by the 5G measurement report by taking the first time advance and the first arrival angle as references, determining a 4G measurement report in which the first time advance and the first arrival angle are equal to the converted second time advance and second arrival angle, and representing the position of the 5G measurement report by the determined geographic grid in which the 4G measurement report is located.
In the above positioning method provided by the embodiment of the present disclosure, the latitude and longitude are obtained without geometric calculation of the 5G MR positioning parameters, but directly utilizes the 4G MR carrying AGPS in the 4G communication network, forms rasterized wireless signal characteristics through long-time 4G MR data accumulation, and utilizes the characteristic of common site construction of the 5G base station and the 4G base station 1:1 in the related technology, the rasterization positioning of the 5G MR is realized through the similarity of the 4G/5G signals of the same physical site to the transmission link of the same position point, the positioning result has high precision, the position estimation deviation caused by the complex wireless environment and the rasterized 5G MR data are avoided, the method can be applied to accurately positioning the quality problem point of the wireless network, accurately guiding the planning and optimization of the wireless network, accurately analyzing the perception of the user and improving the operation efficiency of the 5G network.
In some embodiments, in the foregoing positioning method provided in this disclosure, as shown in fig. 2, after the foregoing step S102 is performed, and a first joint feature library is formed that features a first time advance and a first arrival angle carried by a 4G measurement report, and before the step S103 is performed, and a 4G/5G joint reference table established by features of a 4G/5G co-site and a co-azimuth is obtained, the following steps may also be performed:
s201, constructing a second combined feature library which is characterized by a first average path loss value of a 4G service sector obtained by converting reference signal received power carried by a 4G measurement report and a second average path loss value of a 4G adjacent region;
after the step S104 of characterizing the position of the 5G measurement report by the determined geographic grid corresponding to the 4G measurement report is performed, the following steps may be further performed:
s202, generating 5G path loss characteristic vectors related to a 5G service sector and a 5G neighbor cell according to reference signal receiving power carried by a 5G measurement report;
s203, searching a first average path loss value and a second average path loss value of the geographic grid where the determined 4G measurement report is located in a second combined feature library, and generating a plurality of 4G path loss feature vectors according to the searched first average path loss value and second average path loss value by taking each geographic grid as a unit;
and S204, calculating a Spireman correlation coefficient of the 5G path loss feature vector and each 4G path loss feature vector, and taking the coordinate of the geographical grid corresponding to the 4G path loss feature vector with the maximum Spireman correlation coefficient as the coordinate of the 5G measurement report to realize the accurate positioning of the 5G measurement report.
The second time advance and the second arrival angle of one 5G measurement report are matched with the first time advance and the first arrival angle in the first combined feature library, and may be matched to multiple geographical grids, so that a similarity comparison needs to be further performed between the second path loss feature vector of one 5G measurement report and multiple 4G path loss feature vectors corresponding to the matched geographical grids, and thus, the coordinate of the geographical grid corresponding to the 4G path loss feature vector with the largest spearman correlation coefficient can be used as the coordinate of the 5G measurement report, that is, the accurate positioning of the 5G measurement report is further realized.
In some embodiments, in the positioning method provided in this disclosure, in order to comprehensively reflect the situation of the 4G measurement report and improve the representativeness of the 4G measurement report, in step S102, the 4G measurement report falling into the same geographic grid is subjected to statistical processing to form a first joint feature library that is characterized by a first time advance and a first arrival angle carried by the 4G measurement report, which may be specifically implemented in the following manner:
counting the total number of 4G measurement reports, a first statistic (such as mode, mean value and the like) of the first time advance amount and a second statistic (such as mode, mean value and the like) of the first arrival angle of each 4G serving sector in the same geographic grid, and taking the first statistic and the second statistic of the 4G serving sectors in the first three of the total number digit sequence of the 4G measurement reports as feature values of the corresponding geographic grid to obtain a first joint feature library, wherein the first statistic represents the centralized trend of the first time advance amount, and the second statistic represents the centralized trend of the first arrival angle.
In some embodiments, in the positioning method provided in this disclosure, to improve the accuracy of positioning the 5G measurement report, the step S204 of calculating a spearman correlation coefficient between the 5G path loss feature vector and each 4G path loss feature vector may specifically be implemented by:
comparing the 5G path loss characteristic vector with each 4G path loss characteristic vector, and only reserving the 4G path loss characteristic vectors of the shared adjacent regions; and calculating the spearman correlation coefficient of the 5G path loss characteristic vector and the 4G path loss characteristic vector sharing the adjacent region.
Since the physical topology of the 4G communication network is quite complete, and the physical topology of the 5G communication network is still expanding, in some embodiments, in the above-mentioned positioning method provided in the embodiment of the present disclosure, as shown in fig. 2, before performing step S101, acquiring the 4G measurement report and the 5G measurement report, the following step S100 may also be performed:
and establishing or updating a 4G/5G joint work participation table, wherein the 4G/5G joint work participation table records the ID of a 4G base station, the ID of a 4G sector, the position of the 4G sector, the azimuth angle of the 4G sector and the 4G physical cell identification in a 4G communication network, and the ID of a 5G base station, the ID of a 5G sector, the position of the 5G sector, the azimuth angle of the 5G sector and the 5G physical cell identification in a 5G communication network, wherein the 4G sector and the 5G sector with the same ID have the same site and the same azimuth. Correspondingly, in each positioning process, the step S103 of obtaining the 4G/5G combined work parameter table established by the feature that the 4G/5G co-site is co-located, can be realized by a direct calling method.
In some embodiments, in the foregoing positioning method provided in this disclosure, as shown in fig. 2, before the step S101 of mapping the 4G measurement report into the corresponding geographic grid according to the location information carried by the 4G measurement report is performed for the first time, the following step S200 of rasterizing the geographic location and recording the coordinates of each geographic grid may also be performed. Correspondingly, in each positioning process, the 4G measurement report is mapped to the corresponding geographic grid according to the position information carried by the 4G measurement report in step S101, that is, the mapping of the 4G measurement report to the geographic grid is realized by directly calling the coordinates of each geographic grid and matching the position information carried by the 4G measurement report with the coordinates of each geographic grid.
In order to better understand the above positioning method provided by the embodiments of the present disclosure, the following detailed description is provided.
In a mobile communication network, each sector of each base station has corresponding engineering parameters, unified planning is carried out at the initial stage of network construction, and the adjustment is carried out at the later stage according to the actual network. In general, the mobile communication network contains the following key data:
base station number and sector number: (e.g., eNodeB ID:335974, cell ID:178, standard configuration for 1 base station for 3 sectors); physical Cell Identity (PCI), per sector transmit power: (e.g., PWR:20W), sector latitude and longitude: (e.g., Cell LON:104.25284, Cell LAT:30.87243), Azimuth (Azimuth): indicating the facing direction of each sector.
Based on the above key parameters, step S100, and establishing or updating the 4G/5G combined work parameter table may be performed. Alternatively, cells with the same site and the same azimuth angle in the 4G communication network and the 5G communication network may be arranged in a row as shown in table 1. For example, 4G sector < enb1 cell1> and 5G sector < gnb1, cell1> are sectors co-sited and co-azimuth.
TABLE 1
And S200, rasterizing the geographic position and recording the coordinates of each geographic grid. Specifically, the longitudinal direction of the earth is divided into large areas by taking 6 longitudes as units and the transverse direction of the earth is divided into 3 latitudes as units, and the coordinates of each large area are represented by earth _ id, as shown in fig. 3; each large area is divided into small geographical grids by using the center of each large area as an origin, according to different side lengths (for example, 5m × 5m, 1m × 1m, and the like), and coordinates of each geographical grid in the large area, namely, three values of earth _ id, x _ offset, and y _ offset, are marked by x _ offset and y _ offset, so that each geographical grid on the earth can be determined, as shown in fig. 4. Specifically, fig. 4 also shows a mapping relationship between a 4G/5G base station, a sector installation location, and a geographical grid in the mobile communication network.
Because the physical topologies of the 4G communication network and the 5G communication network are consistent, for the same location, the received 4G signal and the 5G signal have higher similarity, that is, the user is in the same location, the occupied 4G serving sector and the occupied 5G serving sector are the same-direction sector of the same site with a high probability, and the 4/5G signal in the same location has high similarity in the characteristics of TA, HAOA, path loss and the like. As shown in fig. 5, TA represents the distance R from the MR position (corresponding to the position of the terminal) to the base station, and HAOA represents the signal incidence azimuth θ. In the 4G communication network, one TA represents a distance of 78.12 meters, and one HAOA represents an incident angle of a fixed value (terminals HAOA made by different manufacturers may be different); in a 5G communication network, one TA represents 39.06 meters, and one HAOA represents an incident angle of 0.5 degrees, so that, as shown in fig. 6 and 7, only a small-range geographic area can be determined by 1 TA value and 1 HAOA value, and the area can be mapped to a plurality of geographic grids, for example, only TA and HAOA are used as features to establish a feature library, and the accuracy of the location features is slightly low.
Because the transmitting powers of the 4G/5G base stations on the same physical site may be different, in the area, the RSRP signal receiving strength values in the 4G measurement report and the 5G measurement report may also be different, but the propagation paths of the 4G signal and the 5G signal reaching the area are substantially the same, so the path loss presents a similar variation trend, that is, when the wireless signal transmitted by the 4G/5G sector in the same site and in the same direction arrives at the same location point in the area, the 5G frequency is high, the path loss is large, the 4G frequency is low, the path loss is small, different location points in the area all present corresponding trends, a feature library can be established by using the path loss as a feature, in the area range determined by TA and HAOA, different geographic grids are identified by the path loss feature, and the positioning accuracy of the 5G measurement report is further improved.
According to the above characteristics, after step S101 is executed, the 4G measurement report and the 5G measurement report are collected, and the 4G measurement report is mapped into the corresponding geographic grid according to the position information carried by the 4G measurement report, a feature library is established in two steps, step S102 is executed first, the 4G measurement report falling into the same geographic grid is subjected to statistical processing, a first joint feature library characterized by the first time advance and the first arrival angle carried by the 4G measurement report is formed, that is, a coarse matching feature library is established by using TA and HAOA information. Step S201 is then executed to construct a second combined feature library characterized by the first average path loss value of the 4G serving sector obtained by converting the reference signal received power carried by the 4G measurement report and the second average path loss value of the 4G neighboring cell, that is, to establish a fine matching feature library by the path loss features. Then, the Euclidean distance can be calculated through the 5G measurement report and the first combined feature library, and the rough matching of the 5G measurement report positioning is carried out; and on the basis of rough matching, calculating the similarity between the 5G measurement report and the second combined feature library, and realizing the accurate positioning of the 5G MR.
The construction process of the first joint feature library may be: the total number of 4G measurement reports, TA mode, and HAOA mode for each sector in each geographic grid are calculated, and the TA mode and HAOA mode of the first three (TOP3) sectors are taken as feature values of the geographic grid according to the number of 4G measurement reports, as shown in table 2.
TABLE 2
| Geogrid | RANK | eNodeBID | CellID | TA | HAOA | Grid longitude | Grid latitude |
| Grid 1 | 1 | Base station 1 | Sector 1 | … | … | LON_1 | LAT_1 |
| Grid 1 | 2 | Base station 2 | Sector 2 | … | … | LON_1 | LAT_1 |
| Grid 1 | 3 | Base station 3 | Sector 3 | … | … | LON_1 | LAT_1 |
| Grid 2 | 1 | Base station 4 | Sector 1 | … | … | LON_2 | LAT_2 |
| Grid 2 | 2 | Base station 5 | Sector 2 | … | … | LON_2 | LAT_2 |
| Grid 2 | 3 | Base station 6 | Sector 3 | … | … | LON_2 | LAT_2 |
| … | … | … | … | … | … | … | … |
| … | … | … | … | … | … | … | … |
| Grid N | 1 | Base station N1 | Sector 1 | … | … | LON_N | LAT_N |
| Grid N | 2 | Base station N2 | Sector 2 | … | … | LON_N | LAT_N |
| Grid N | 3 | Base station N3 | Sector 3 | … | … | LON_N | LAT_N |
The construction process of the second combined feature library can be as follows: the average path loss of each 4G serving sector and the average path loss of the 4G neighbor CELLs in each geographic grid are calculated and arranged according to the format of table 3, the 1 st column is a geographic grid coordinate, the 2 nd and 3 rd columns are respectively a base station eNodeB ID and a sector CELL ID corresponding to the 4G serving sector, the first rows of the 4 th and 5 th columns are respectively a base station eNodeB ID and a sector CELL ID corresponding to the 4G serving sector, then the base station eNodeB ID and the sector CELL ID corresponding to the 4G neighbor CELL of the 4G serving sector, the 6 th column is the average path loss of the 4G serving sector and the average path loss of the 4G neighbor CELL, and the 7 th and 8 th columns are respectively the longitude and the latitude of the geographic grid.
TABLE 3
Subsequently, step S103 may be executed to obtain a 4G/5G combined work parameter table established by the feature that the 4G/5G co-site is co-located, and determine a 4G measurement report co-located with the 5G measurement report on the basis of the 5G measurement report and the 4G/5G combined work parameter table.
Next, step S104 is executed, the first time advance and the first arrival angle are taken as references, the second time advance and the second arrival angle carried by the 5G measurement report are converted respectively, the first time advance equal to the converted second time advance and the second arrival angle and the 4G measurement report where the first time advance and the first arrival angle are located are determined, and the location of the 5G measurement report is represented by the determined geographic grid where the 4G measurement report is located, so that the coarse matching between the 5G measurement report and the first combined feature library is realized. Alternatively, the TA of the 5G measurement report and the HAOA and the TA and HAOA of the 4G measurement report may be within one scale after the TA and HAOA of the 5G measurement report are converted with reference to the TA and HAOA of the 4G measurement report. For example, when the 5G subcarrier spacing is 30KHz, 5G-TA represents 39.06 meters, and 4G-TA represents 78.12 meters, where 5G TA ═ 1, 5G TA ═ 2, and 4G TA ═ 1 correspond. Matching the TA and HAOA values of the 5G measurement report in the TA and HAOA feature library of the corresponding co-site co-azimuth 4G measurement report with the matching conditions of 5G TA equal to 4G TA and 5G HAOA equal to 4G HAOA. After matching, a geographic grid corresponding to a plurality of 4G measurement reports is obtained, i.e. the strip of 5G measurement reports may correspond to a plurality of geographic grids.
To improve the alignment accuracy of the 5G measurement report, steps S202 to S204 may be further performed. Step S202, generating a 5G path loss feature vector related to the 5G serving sector and the 5G neighboring cell according to Reference Signal Received Power (RSRP) carried by the 5G measurement report, which may specifically be that, in data of one 5G measurement report, RSRP information of the 5G serving sector and the 5G neighboring cell is included, and in combination with a transmission function of each 5G sector, an RSRP value may be converted into a path loss value to obtain one 5G path loss feature vector, as follows:
Vec 5GMR：
<ServiceCell LOS，Neighbor 1 LOS，Neighbor 2 LOS，...，Neighbor N LOS>
step S203, searching the first average path loss value and the second average path loss value of the geographic grid where the determined 4G measurement report is located in the second combined feature library, and generating a plurality of 4G path loss feature vectors according to the searched first average path loss value and second average path loss value by taking each geographic grid as a unit. The specific process can be as follows: obtaining a geography grid group obtained by rough matching of the 5G measurement report and a 4G first combined feature library in the previous step, searching average path loss data of the geography grid group under the service sector in a second combined feature library, converting the average path loss data into vectors, and obtaining a 4G feature vector group consisting of a plurality of 4G path loss feature vectors as follows:
grid 1 vector:
<ServiceCell LOS，Neighbor 1 LOS，Neighbor 2 LOS，...，Neighbor N LOS>；
grid 2 vector:
<ServiceCell LOS，Neighbor 1 LOS，Neighbor 2 LOS，...，Neighbor N LOS>；...；
grid N vector:
<ServiceCell LOS，Neighbor 1 LOS，Neighbor 2 LOS，...，Neighbor N LOS>；
and S204, calculating a Spireman correlation coefficient of the 5G path loss feature vector and each 4G path loss feature vector, and taking the coordinate of the geographical grid corresponding to the 4G path loss feature vector with the maximum Spireman correlation coefficient as the coordinate of the 5G measurement report to realize the accurate positioning of the 5G measurement report. The specific process can be as follows: comparing the 5G path loss feature vector with each 4G path loss feature vector in the 4G path loss feature vector group, and only retaining the vector values of the shared neighboring cells (same station and same direction), which is exemplified as follows:
after the 4G path loss feature vector of grid 1 is processed, 4 neighboring cells remain:
<ServiceCell LOS，Neighbor 1 LOS，Neighbor 2 LOS，Neighbor 4 LOS，Neighbor 6 LOS>；
the adjacent cell of the 5G measurement report only reserves the adjacent cell with the same orientation as the 4G same station:
<ServiceCell LOS，Neighbor 1 LOS，Neighbor 2 LOS，Neighbor 4 LOS，Neighbor 6 LOS>；
after the 4G path loss feature vector of grid 2 is processed, 5 neighboring cells remain:
＜ServiceCell LOS，Neighbor 1 LOS，Neighbor 2 LOS，Neighbor 4 LOS，Neighbor 6 LOS，，Neighbor 7 LOS>；
the adjacent cell of the 5G measurement report only reserves the adjacent cell with the same orientation as the 4G same station:
<ServiceCell LOS，Neighbor 1 LOS，Neighbor 2 LOS，Neighbor 4 LOS，Neighbor 6 LOS，，Neighbor 7 LOS>；
since the 4G signal and the 5G signal have different propagation characteristics and different path loss even in the same path, it is not appropriate to use the distance calculation or the pearson correlation coefficient when calculating the similarity. In this patent, the similarity of two sets of vectors is calculated using spearman (sperman) correlation coefficients. Specifically, the spearman rank correlation coefficient is a non-maternal index used to measure the dependency of two variables. It evaluates the correlation of two statistical variables using a monotonic equation. If there are no duplicates in the data, and when the two variables are perfectly monotonically correlated, the spearman correlation coefficient is either +1 or-1.
Alternatively, the spearman correlation systemA number is defined as the pearson correlation coefficient between the level variables. For a sample with a sample capacity of n, n original data Xi，YiIs converted into gradation data xi，yiThe pearson correlation coefficient ρ is:
wherein the content of the first and second substances,
is the rank data xiIs determined by the average value of (a) of (b),
is the rank data yiMean value of (A), spearman correlation coefficient indicates Xi(independent variables) and Yi(dependent variable) direction of correlation. If when X is presentiWhen increased, YiTends to increase, with positive spearman correlation coefficients. If when X is presentiWhen increased, YiTends to decrease, with negative spearman correlation coefficients. The spearman correlation coefficient is zero, indicating that when X is zeroiIncreasing time YiWithout any tropism. When X is presentiAnd YiAs the perfect monotonic correlation gets closer and closer, the spearman correlation coefficient increases in absolute value.
Specifically, the spearman correlation coefficient of the 5G path loss eigenvector with the matched 4G path loss eigenvector on the corresponding geographic grid may be calculated by the following equation.
When the correlation coefficient is larger, it is indicated that the 4G path loss feature vector of the geographic grid is closer to the 5G path loss feature vector, and the coordinate of the grid with the largest correlation number is taken as the coordinate of the 5G measurement report, that is, the accurate positioning of the 5G measurement report is realized.
In summary, in the positioning method provided by the present disclosure, the 4G MR data includes AGPS information, and mapping of the 4G measurement report to the geographical grid is implemented through the AGPS information carried in the 4G measurement report; and determining the signal characteristics of the geographic grid by utilizing TA, HAOA and path loss information in the 4G measurement report. When the similarity between the characteristics of the 5G measurement report and the characteristics of the 4G measurement report of a certain geographic grid is high, it can be considered that the 5G measurement report is reported at the position of the geographic grid, that is, the positioning of the 4G AGPS-based 5G measurement report is realized through the similarity between the characteristics of the 4G/5G measurement report. And because the position accuracy of the AGPS carried by the 4G measurement report is high, the accuracy of positioning of the 5G measurement report realized by the similarity of the 4G/5G signal characteristics is much higher than that of positioning of the 5G measurement report in the related art.
Based on the same inventive concept, an embodiment of the present disclosure further provides a positioning apparatus for 5G measurement report, as shown in fig. 8, including:
a mapping module 801 configured to collect a 4G measurement report and a 5G measurement report, and map the 4G measurement report to a corresponding geographic grid according to location information carried by the 4G measurement report;
a statistics module 802, configured to perform statistics on the 4G measurement reports falling into the same geographic grid, to form a first joint feature library that is characterized by a first time advance and a first arrival angle carried by the 4G measurement reports;
a matching module 803, configured to obtain a 4G/5G combined work-parameter table established by the feature that the 4G/5G co-site is co-located, and determine a 4G measurement report that is co-located with the 5G measurement report on the basis of the 5G measurement report and the 4G/5G combined work-parameter table;
a positioning module 804, configured to convert, with the first time advance and the first arrival angle as references, a second time advance and a second arrival angle carried by the 5G measurement report respectively, and determine a 4G measurement report where the first time advance and the first arrival angle are equal to the converted second time advance and the converted second arrival angle, so as to determine a location of the 5G measurement report represented by a geographic grid where the 4G measurement report is located.
As the principle of solving the problem of the positioning apparatus for 5G measurement report is similar to that of solving the problem of the positioning method for 5G measurement report, the implementation of the positioning apparatus for 5G measurement report provided in the embodiment of the present disclosure may refer to the implementation of the positioning method for 5G measurement report provided in the embodiment of the present disclosure, and repeated details are omitted.
Based on the same inventive concept, an embodiment of the present disclosure further provides a computer device, as shown in fig. 9, including: a memory 901 for storing a computer program; a processor 902 for implementing the steps of any of the above positioning methods when executing the computer program. Because the principle of solving the problem by the computer device is similar to that of solving the problem by the positioning method of the 5G measurement report, reference may be made to implementation of the positioning method of the 5G measurement report provided by the embodiment of the present disclosure for implementation of the computer device, and repeated details are not repeated.
The computer device may be specifically a desktop computer, a portable computer, a smart phone, a tablet computer, a Personal Digital Assistant (PDA), a server, and the like.
Memory 901, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. The Memory 901 may include at least one type of storage medium, and may include, for example, a flash Memory, a hard disk, a multimedia card, a card-type Memory, a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Programmable Read Only Memory (PROM), a Read Only Memory (ROM), a charge Erasable Programmable Read Only Memory (EEPROM), a magnetic Memory, a magnetic disk, an optical disk, and so on. The memory is any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. The memory 901 in the disclosed embodiments may also be circuitry or any other device capable of performing a storage function for storing program instructions and/or data.
The Processor 902 may be a general-purpose Processor, such as a Central Processing Unit (CPU), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware components, or any combination thereof, configured to implement or perform the methods, steps, and logic blocks disclosed in the embodiments of the present disclosure. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present disclosure may be embodied directly in a hardware processor, or in a combination of hardware and software modules.
Based on the same inventive concept, the disclosed embodiments also provide a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the computer program implements any of the above positioning methods. As the principle of solving the problem by the computer-readable storage medium is similar to that of solving the problem by the positioning method of the 5G measurement report, reference may be made to implementation of the positioning method of the 5G measurement report provided by the embodiment of the present disclosure for implementation of the computer-readable storage medium, and repeated details are not repeated.
Alternatively, the above-described computer-readable storage media provided by the embodiments of the present application may be non-transitory computer-readable media, such as any available media or data storage device that can be accessed by a computer, including but not limited to magnetic memory (e.g., floppy disk, hard disk, magnetic tape, magneto-optical disk (MO), etc.), optical memory (e.g., CD, DVD, BD, HVD, etc.), and semiconductor memory (e.g., ROM, EPROM, EEPROM, nonvolatile memory (NAND FLASH), Solid State Disk (SSD)), etc.
Based on the same inventive concept, the disclosed embodiments provide a computer program product, which includes a computer program, and when the computer program is executed by a processor, the computer program implements any of the above positioning methods. As the principle of solving the problem of the computer program product is similar to that of solving the problem of the positioning method of the 5G measurement report, the implementation of the computer program product provided by the embodiment of the present disclosure may refer to the implementation of the positioning method of the 5G measurement report provided by the embodiment of the present disclosure, and repeated details are not repeated.
In some possible embodiments, various aspects of the methods provided by the present disclosure may also be implemented in the form of a program product including program code for causing an electronic device to perform the steps in the methods according to various exemplary embodiments of the present disclosure described above in this specification when the program product is run on the electronic device, for example, the electronic device may perform the positioning method of the 5G measurement report described in the embodiments of the present disclosure. Alternatively, the program code may be specified using any known or future developed programming language, such as a high level programming language, such as objective-C, C, C + +, C #, Java, Python, Javascript, other scripting language, or the like, or a low level programming language, such as machine language or assembler.
Alternatively, the computer program product provided by the disclosed embodiments may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable signal medium may be, without limitation, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. The readable storage medium may include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; the computer storage media may be any available media or data storage device that can be accessed by a computer, including but not limited to: various media that can store program codes include a removable Memory device, a Random Access Memory (RAM), a magnetic Memory (e.g., a flexible disk, a hard disk, a magnetic tape, a magneto-optical disk (MO), etc.), an optical Memory (e.g., a CD, a DVD, a BD, an HVD, etc.), and a semiconductor Memory (e.g., a ROM, an EPROM, an EEPROM, a nonvolatile Memory (NAND FLASH), a Solid State Disk (SSD)).
Alternatively, the integrated unit of the present disclosure may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling an electronic device (which may be a personal computer, a server, or a network device) to execute all or part of the methods of the embodiments of the present disclosure. And the aforementioned storage medium includes: various media that can store program codes include a removable Memory device, a Random Access Memory (RAM), a magnetic Memory (e.g., a flexible disk, a hard disk, a magnetic tape, a magneto-optical disk (MO), etc.), an optical Memory (e.g., a CD, a DVD, a BD, an HVD, etc.), and a semiconductor Memory (e.g., a ROM, an EPROM, an EEPROM, a nonvolatile Memory (NAND FLASH), a Solid State Disk (SSD)).
In addition, those skilled in the art will appreciate that embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to the present disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications can be made in the present disclosure without departing from the spirit and scope of the disclosure. Thus, if such modifications and variations of the present disclosure fall within the scope of the claims of the present disclosure and their equivalents, the present disclosure is intended to include such modifications and variations as well.
Claims (10)
1. A method for positioning a 5G measurement report, comprising:
collecting a 4G measurement report and a 5G measurement report, and mapping the 4G measurement report to a corresponding geographic grid according to position information carried by the 4G measurement report;
performing statistical processing on the 4G measurement reports falling into the same geographic grid to form a first combined feature library which is characterized by a first time advance and a first arrival angle carried by the 4G measurement reports;
acquiring a 4G/5G combined work-parameter table established by the characteristics of 4G/5G co-site and co-orientation, and determining a 4G measurement report of the same site and the same orientation as the 5G measurement report based on the 5G measurement report and the 4G/5G combined work-parameter table;
respectively converting a second time advance and a second arrival angle carried by the 5G measurement report by taking the first time advance and the first arrival angle as references, and determining the 4G measurement report where the first time advance and the first arrival angle are equal to the converted second time advance and the converted second arrival angle so as to determine that the geographic grid where the 4G measurement report is located represents the position of the 5G measurement report.
2. The method as claimed in claim 1, wherein after forming a first joint feature library featuring a first time advance and a first arrival angle carried by the 4G measurement report, and before obtaining a 4G/5G joint reference table established by a feature of co-location and co-orientation of a 4G/5G co-site, the method further comprises:
constructing a second combined feature library which is characterized by a first average path loss value of a 4G service sector obtained by converting the reference signal received power carried by the 4G measurement report and a second average path loss value of a 4G adjacent region;
after the determined geographic grid corresponding to the 4G measurement report characterizes the position of the 5G measurement report, the method further includes:
generating 5G path loss characteristic vectors related to the 5G service sector and the 5G adjacent region according to the reference signal receiving power carried by the 5G measurement report;
searching the first average path loss value and the second average path loss value of the geographic grid where the determined 4G measurement report is located in the second combined feature library, and generating a plurality of 4G path loss feature vectors according to the searched first average path loss value and second average path loss value by taking each geographic grid as a unit;
and calculating a spearman correlation coefficient of the 5G path loss feature vector and each 4G path loss feature vector, and taking the coordinate of the geographic grid corresponding to the 4G path loss feature vector with the largest spearman correlation coefficient as the coordinate of the 5G measurement report to realize accurate positioning of the 5G measurement report.
3. The method according to claim 1 or 2, wherein the statistical processing is performed on the 4G measurement reports falling into the same geographic grid to form a first joint feature library featuring a first time advance and a first arrival angle carried by the 4G measurement reports, specifically comprising:
counting the total number of the 4G measurement reports, a first statistic of the first time advance and a second statistic of the first arrival angle of each 4G serving sector in the same geographic grid, and taking the first statistic and the second statistic of the 4G serving sectors, which are three in the total number of the 4G measurement reports, as feature values corresponding to the geographic grids to obtain a first joint feature library, wherein the first statistic characterizes the concentration trend of the first time advance and the second statistic characterizes the concentration trend of the first arrival angle.
4. The method according to claim 2, wherein calculating the spearman correlation coefficient between the 5G path loss eigenvector and each of the 4G path loss eigenvectors specifically comprises:
comparing the 5G path loss feature vector with each 4G path loss feature vector, and only reserving the 4G path loss feature vectors of the shared adjacent regions; and calculating the spearman correlation coefficient of the 5G path loss characteristic vector and the 4G path loss characteristic vector of the shared adjacent region.
5. The positioning method according to claim 1 or 2, further comprising, before acquiring the 4G measurement report and the 5G measurement report:
establishing or updating a 4G/5G joint work participation table, wherein the 4G/5G joint work participation table records the ID of a 4G base station, the ID of a 4G sector, the position of the 4G sector, the azimuth angle of the 4G sector and the 4G physical cell identification in a 4G communication network, and the ID of a 5G base station, the ID of a 5G sector, the position of the 5G sector, the azimuth angle of the 5G sector and the 5G physical cell identification in a 5G communication network, wherein the 4G sector and the 5G sector with the same ID have the same site and the same azimuth.
6. The positioning method according to claim 1 or 2, wherein before mapping the 4G measurement report into the corresponding geographical grid according to the location information carried by the 4G measurement report for the first time, further comprising: the geographic locations are rasterized and the coordinates of each geographic grid are recorded.
7. A positioning apparatus for 5G measurement report, comprising:
the mapping module is configured to collect a 4G measurement report and a 5G measurement report, and map the 4G measurement report to a corresponding geographic grid according to position information carried by the 4G measurement report;
a statistical module configured to perform statistical processing on the 4G measurement reports falling into the same geographic grid to form a first joint feature library characterized by a first time advance and a first arrival angle carried by the 4G measurement reports;
the matching module is configured to acquire a 4G/5G combined work-parameter table established by the characteristics of the same site and the same direction of a 4G/5G, and determine the 4G measurement report in the same site and the same direction of the 5G measurement report based on the 5G measurement report and the 4G/5G combined work-parameter table;
a positioning module, configured to convert, with the first time advance and the first arrival angle as references, a second time advance and a second arrival angle carried by the 5G measurement report respectively, and determine the 4G measurement report where the first time advance and the first arrival angle are equal to the converted second time advance and the converted second arrival angle, so as to determine that the geographic grid where the 4G measurement report is located represents the position of the 5G measurement report.
8. A computer device, comprising: a memory for storing a computer program; a processor for implementing the steps of the positioning method according to any of claims 1 to 6 when executing said computer program.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the positioning method according to any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the positioning method according to any of claims 1-6.
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