CN117528543A - Data processing method, device and storage medium - Google Patents
Data processing method, device and storage medium Download PDFInfo
- Publication number
- CN117528543A CN117528543A CN202210910559.2A CN202210910559A CN117528543A CN 117528543 A CN117528543 A CN 117528543A CN 202210910559 A CN202210910559 A CN 202210910559A CN 117528543 A CN117528543 A CN 117528543A
- Authority
- CN
- China
- Prior art keywords
- boundary
- terminal
- preset
- normal
- data processing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 34
- 238000005259 measurement Methods 0.000 claims abstract description 87
- 238000000034 method Methods 0.000 claims abstract description 18
- 238000012216 screening Methods 0.000 claims abstract description 13
- 238000012545 processing Methods 0.000 claims description 27
- 238000004891 communication Methods 0.000 claims description 15
- 238000004422 calculation algorithm Methods 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 9
- 238000012935 Averaging Methods 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 description 12
- 238000010586 diagram Methods 0.000 description 10
- 238000012423 maintenance Methods 0.000 description 10
- 238000007726 management method Methods 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000002776 aggregation Effects 0.000 description 3
- 238000004220 aggregation Methods 0.000 description 3
- 238000013507 mapping Methods 0.000 description 3
- 230000006855 networking Effects 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000000737 periodic effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000013439 planning Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000007723 transport mechanism Effects 0.000 description 1
- 238000012384 transportation and delivery Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/18—Network planning tools
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses a data processing method, a device and a storage medium, wherein the data processing method is applied to a base station, and comprises the following steps: transmitting a beam measurement request to a terminal so as to receive a beam measurement result reported by the terminal; determining boundary terminals according to beam measurement results and preset grid information, wherein the preset grid information is used for representing screening conditions of terminals for screening boundaries between at least two beams; sending a position measurement request to the boundary terminal to receive the position coordinates reported by the boundary terminal, and grouping the boundary terminal according to the position coordinates to obtain a grouping result; according to the method, the device and the system, the central point of each wave beam in the wave beam measuring result is determined according to the grouping result, and the cell azimuth angle is obtained according to a plurality of central points.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a data processing method, apparatus, and storage medium.
Background
With the development of communication networks, the mobile network has the coexistence phenomenon of 2G, 3G, 4G and 5G networks, which results in huge network scale and complex networking of the mobile network, so that the operation and maintenance of the networking system with coexistence of networks becomes a difficult point of each network operator, wherein the measurement of engineering parameters in the process of network maintenance becomes particularly important, in the prior art, longitude and latitude information of a base station can be directly obtained through a base station GPS, then the output of engineering parameters is completed by referring to site planning parameters of the network and the condition of actual engineering team station opening, a level meter, a compass and other tools, and finally the working state of the networking system is manually maintained according to the actual operation by an engineering operation and maintenance team.
Disclosure of Invention
The embodiment of the invention provides a data processing method, a data processing device and a storage medium, which realize automatic calculation of a cell azimuth and improve the accuracy of calculation of the cell azimuth.
In a first aspect, an embodiment of the present invention provides a data processing method, which is applied to a base station, including:
transmitting a beam measurement request to a terminal so as to receive a beam measurement result reported by the terminal;
determining boundary terminals according to the beam measurement result and preset grid information, wherein the preset grid information is used for representing screening conditions for screening terminals positioned at the boundary between at least two beams;
sending a position measurement request to the boundary terminal to receive the position coordinates reported by the boundary terminal, and grouping the boundary terminal according to the position coordinates to obtain a grouping result;
and determining the center point of each beam in the beam measurement results according to the grouping results, and obtaining the cell azimuth angle according to a plurality of the center points.
In a second aspect, an embodiment of the present invention provides a data processing apparatus, including: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the data processing method according to the first aspect when executing the computer program.
In a third aspect, an embodiment of the present invention provides a computer-readable storage medium storing a computer-executable program for causing a computer to execute the data processing method according to the first aspect.
The data processing method provided by the embodiment of the invention has at least the following beneficial effects: firstly, a beam measurement request is sent to a terminal to receive a beam measurement result obtained by measuring a beam by the terminal, terminals positioned at boundaries between at least two beams are screened out according to the beam measurement result and preset grid information to obtain boundary terminals of the corresponding beams, then a position measurement request is sent to the boundary terminals to receive position coordinates reported by the boundary terminals, so that grouping results of grouping the boundary terminals can be obtained according to the position coordinates of the boundary terminals, finally, center points of the beams in the beam measurement result are determined according to the grouping results, and cell azimuth angles are obtained by calculating according to the center points of the beams, so that automatic calculation of the cell azimuth angles is achieved, maintenance of the cell azimuth angles in later periods is facilitated, and maintenance cost of the cell azimuth angles is reduced.
Drawings
FIG. 1 is a schematic diagram of a network architecture for a data processing method according to one embodiment of the present invention;
FIG. 2 is a flow chart of a data processing method provided by one embodiment of the present invention;
FIG. 3 is a flowchart of a specific method of step S200 in FIG. 2;
FIG. 4 is a flowchart of a specific method of step S400 in FIG. 2;
FIG. 5 is a flowchart of a specific method of step S420 in FIG. 4;
FIG. 6 is a flowchart of a specific method of step S400 in FIG. 2;
FIG. 7 is a flowchart of a specific method of step S450 in FIG. 6;
FIG. 8 is a flowchart of a specific method of step S452 in FIG. 7;
FIG. 9 is a flow chart of a data processing method according to another embodiment of the present invention;
FIG. 10 is an exemplary diagram of calculating a target beam boundary normal provided by one specific example of the present invention;
FIG. 11 is an exemplary diagram of calculating a cell azimuth angle provided by one specific example of the present invention;
fig. 12 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It should be noted that in the description of embodiments of the present invention, the terms "first," "second," and the like in the description and claims and in the foregoing drawings are used for distinguishing between similar objects and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated. "at least one" means one or more, and "a plurality" means two or more. "and/or", describes an association relation of association objects, and indicates that there may be three kinds of relations, for example, a and/or B, and may indicate that a alone exists, a and B together, and B alone exists. Wherein A, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. Although functional block diagrams are depicted in the device diagrams, logical orders are depicted in the flowchart, in some cases, the steps shown or described may be performed in a different order than the block diagrams in the device, or in the flowchart.
In addition, the technical features of the embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
The embodiment of the invention provides a data processing method, a device and a storage medium, wherein a beam measurement request is sent to a terminal to receive a beam measurement result obtained by measuring a beam by the terminal, terminals positioned at the boundary between at least two beams are screened according to the beam measurement result and preset grid information to obtain boundary terminals of the corresponding beams, and then a position measurement request is sent to the boundary terminals to receive position coordinates reported by the boundary terminals, so that grouping results of grouping the boundary terminals can be obtained according to the position coordinates of the boundary terminals, finally, the center point of each beam in the beam measurement result is determined according to the grouping results, and a cell azimuth angle is calculated according to the center points of a plurality of beams, so that automatic calculation of the cell azimuth angle is realized, later maintenance of the cell azimuth angle is facilitated, and the maintenance cost of the cell azimuth angle is reduced.
Embodiments of the present invention will be further described below with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a schematic diagram of a network architecture for a data processing method according to an embodiment of the present invention.
In the embodiment of fig. 1, the network architecture 100 includes, but is not limited to, a terminal grid processing module 200, a terminal positioning information collection module 300, a positioning information analysis and processing module 400, and an azimuth calibration module 500.
In some embodiments, the terminal grid processing module 200 is mainly used for screening boundary users, the terminal grid processing module 200 divides boundary terminals between different beams in a cell covered by a base station to form a corresponding relationship between the grid and the boundary terminals, so that the base station can determine the boundary terminals between different beams according to grid information of the grid, such as position coordinates, longitude and latitude, and the like, and send the determined boundary terminals to the terminal positioning information collecting module 300 for information collection.
It should be noted that, the terminal grid processing module 200 may distinguish based on the strongest beam signal strength reported by the terminal, including but not limited to, that the difference between the strongest beam signal strength and the second strongest beam signal strength is within a certain range, that the terminal performs beam switching between two adjacent beams, or that the terminal performs distinction according to the communication quality of the location of the terminal, which is not limited in this embodiment.
It can be appreciated that the terminal grid processing module 200 can process only a certain range of grids, thereby reducing the complexity of data processing and improving the processing efficiency of the terminal grid processing module 200.
In some embodiments, the terminal positioning information collecting module 300 is mainly configured to send a position measurement request to the boundary terminal identified by the terminal grid processing module 200 to receive the position coordinate reported by the boundary terminal, and after receiving the position coordinate reported by the boundary terminal, perform validity judgment and grouping on the position coordinate, thereby obtaining a grouping result of the boundary terminal, so as to facilitate subsequent calculation of the cell azimuth, and then send the grouping result, the position coordinate and other information to the positioning information analyzing and processing module 400 for positioning information analysis.
It should be noted that, the validity judgment of the position coordinates includes judgment of whether the position coordinates of the boundary terminal change, whether the boundary terminal is updated, whether the boundary terminal is moved out, and the like, and the embodiment is not limited specifically.
In some embodiments, the positioning information analyzing and processing module 400 is configured to analyze and process the position coordinates of the boundary terminal collected by the terminal positioning information collecting module 300, where the analyzing and processing of the position coordinates of the boundary terminal includes, but is not limited to, mapping the position coordinates, calculating a position center point of a beam, confirming a boundary area of the beam, calculating a cell azimuth, and the like, and transmitting the calculated cell azimuth and the position coordinates to the azimuth calibration module 500 for calibration.
The mapping of the position coordinates to the mapping of the position coordinates and the grid on the map is performed, so that information such as the azimuth angle of the position coordinates can be directly obtained.
In some embodiments, the azimuth calibration module 500 is mainly used for calibrating the azimuth sent by the positioning information analysis and processing module 400, so as to avoid untimely updating of the cell azimuth caused by manual operation or other environmental factors, and the azimuth calibration module 500 is also used for periodically starting the terminal grid processing module 200, the terminal positioning information collection module 300, the positioning information analysis and processing module 400 and the like, thereby realizing real-time updating of the cell azimuth and improving automatic updating of engineering parameters of the base station.
It should be noted that, in the process of calibrating the cell azimuth by the azimuth calibration module 500, the calibration result of the azimuth calibration module 500 may be output by presenting on a map or generating a data table, which is not limited in this embodiment.
The network architecture 100 and the application scenario described in the embodiments of the present invention are for more clearly describing the technical solution of the embodiments of the present invention, and do not constitute a limitation on the technical solution provided by the embodiments of the present invention, and those skilled in the art can know that, with the evolution of the network topology and the appearance of the new application scenario, the technical solution provided by the embodiments of the present invention is also applicable to similar technical problems.
Those skilled in the art will appreciate that the network architecture 100 shown in fig. 1 is not limiting of embodiments of the invention and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
Referring to fig. 2, fig. 2 is a flowchart of a data processing method according to an embodiment of the present invention, which is applied to, but not limited to, a base station, including, but not limited to, steps S100-S400.
Step S100: transmitting a beam measurement request to a terminal so as to receive a beam measurement result reported by the terminal;
in some embodiments, the base station sends a beam measurement request to the terminal to measure the beam, and receives the beam measurement result reported by the terminal, so as to facilitate the subsequent determination of the boundary terminal in the beam measurement result.
It should be noted that, the beam measurement result in this embodiment may be obtained by measuring a broadcast beam or a service beam.
It may be understood that the beam measurement result includes information such as a beam frequency, a beam wavelength, a beam signal strength, a traffic flow, or a packet loss rate of the beam, which is not limited in particular.
Step S200: determining a boundary terminal according to the beam measurement result and preset grid information;
the preset grid information is used for representing screening conditions for screening the terminal positioned at the boundary between at least two beams.
In some embodiments, boundary terminals of beams in the beam measurement result are determined according to the beam measurement result and preset grid information, so that subsequent grouping of the boundary terminals is facilitated.
It will be appreciated that the boundary terminals may be boundary users of the beam, that after determining the boundary terminals based on the beam measurement results and the preset grid information, the boundary terminals may be marked, facilitating subsequent grouping of the boundary terminals based on the marking results,
step S300: sending a position measurement request to the boundary terminal to receive the position coordinates reported by the boundary terminal, and grouping the boundary terminal according to the position coordinates to obtain a grouping result;
in some embodiments, after sending a position measurement request to the boundary terminal, receiving the position coordinates reported by the boundary terminal, and grouping the boundary terminal according to the position coordinates, thereby obtaining a grouping result of the boundary terminal and improving the accuracy of grouping the boundary terminal.
After receiving the position coordinates reported by the boundary terminal, the position coordinates can be geographically presented on the map, and the boundary terminals are grouped by combining the marking result of the boundary terminal, so that the influence of other invalid boundary points is avoided, and the accuracy of calculating the cell azimuth is improved.
Step S400: and determining the center point of each beam in the beam measurement results according to the grouping results, and obtaining the cell azimuth angle according to the plurality of center points.
In some embodiments, the center point of each beam in the beam measurement result is determined according to the grouping result, so that the accuracy of calculating the boundary terminal in each beam is improved, and a plurality of center points are calculated, so that the cell azimuth angle is obtained, the accurate calculation of the cell azimuth angle is realized, and the maintenance of the cell azimuth angle in the later period is facilitated.
In some embodiments, the preset grid information includes at least one of: in the beam measurement results reported by the terminal, the difference value between the signal intensity of the strongest beam and the signal intensity of the second strongest beam meets a preset difference value threshold; the terminal generates beam switching between two adjacent beams; the communication quality of the position of the terminal meets the preset communication requirement, and the boundary terminal can be accurately screened through the conditions, so that the influence of an invalid terminal or a non-boundary terminal is avoided.
It should be noted that, the preset grid information is a screening condition of the boundary terminal, where the screening condition includes, but is not limited to, that a difference value between the strongest beam signal intensity and the second strongest beam signal intensity in the beam measurement result reported by the terminal meets a preset difference threshold, and if the terminal is located in the beam with the strongest beam signal intensity, beam switching is not required to occur; the terminal switches the wave beams between two adjacent wave beams, and the terminal is a boundary terminal; the communication quality of the position of the terminal meets the preset difference threshold and the like.
It is understood that the preset difference threshold may be 10 db mw, 20 db mw, 50 db mw, etc., the communication quality of the location of the terminal includes, but is not limited to, path Loss (PL) of the location of the terminal, reference signal received power (Reference Signal Receiving Power, RSRP), timing Advance (TA), etc., the preset communication requirement is a requirement that needs to be satisfied by various parameters in the communication quality, for example, the Path Loss of the location of the terminal does not exceed 20 db, the reference signal received power is between-85 db mw and-95 db mw, the time delay range is between 1 ms and 30 ms, etc., and the embodiment is not limited specifically.
Referring to fig. 3, fig. 3 is a further illustration of step S200 in fig. 2, step S200 including, but not limited to, steps S210 to S220.
Step S210: when the beam measurement result meets preset grid information, screening the beam measurement result according to the preset grid information, and determining a boundary terminal;
step S220: and when the beam measurement result does not meet the preset grid information, discarding the beam measurement result, and re-sending a beam measurement request to the terminal to determine the boundary terminal.
In some embodiments, when the beam measurement result meets the preset grid information, the beam measurement result is directly screened according to the preset grid information, and a boundary terminal between beams is determined; and when the beam measurement result does not meet the preset grid information, discarding the beam measurement information, and re-sending a beam measurement request to the terminal to re-determine the boundary terminal, so as to avoid interference of the non-boundary terminal.
After determining that the beam measurement result does not meet the preset grid information, marking the terminal in the beam measurement result as a non-boundary terminal, discarding the beam measurement result, and re-sending the beam measurement request to the terminal until the beam measurement result meets the preset grid information.
Referring to fig. 4, fig. 4 is a further illustration of step S400 in fig. 2, step S400 including, but not limited to, steps S410 through S420.
Step S410: determining a plurality of beam boundary areas corresponding to the beam measurement results according to the grouping results;
step S420: and calculating all boundary terminals in each beam boundary region to obtain the central point of the beam boundary region.
In some embodiments, the position coordinates of the boundary terminals are geographically presented on a map, the aggregation area of the boundary terminals corresponding to the beam measurement result is determined according to the grouping result of the boundary terminals, the aggregation area of the boundary terminals is used as the beam boundary area of the beam in the beam measurement result, so that the beam boundary area corresponding to each beam in the beam measurement result is obtained, then all boundary terminals in the beam boundary area of each beam are calculated, the central point of the beam boundary area is obtained, the subsequent calculation of the cell azimuth angle is facilitated, and the accuracy of the calculation of the cell azimuth angle is improved.
Referring to fig. 5, fig. 5 is a further illustration of step S420 of fig. 4, step S420 including, but not limited to, step S421.
Step S421: and in the beam boundary area, calculating the position coordinates of each boundary terminal according to a preset position average algorithm to obtain the center point of the beam boundary area.
In some embodiments, in each beam boundary area, the position coordinates of each boundary terminal are calculated according to a preset position average algorithm, so as to obtain the center point of each beam boundary area, and facilitate the subsequent calculation of the cell azimuth angle.
It should be noted that, the preset position average algorithm may be to calculate the point in each beam boundary area according to the position coordinates, or calculate the boundary terminal according to the GPS (Global Positioning System, GPS) geographic average algorithm, so as to obtain the center point of each beam boundary area.
Referring to fig. 6, fig. 6 is a further illustration of step S400 in fig. 2, step S400 including, but not limited to, steps S430 through S450.
Step S430: calculating according to the position coordinates of the plurality of center points and the base station to obtain a plurality of beam boundary normals;
step S440: averaging the beam boundary normals to obtain a target boundary normal;
step S450: and determining the azimuth angle of the cell according to the position relation between the target boundary normal and the preset center normal.
In some embodiments, calculating is performed according to the position coordinates of a plurality of center points and a base station to obtain a plurality of beam boundary normals of each center point, an average algorithm is performed on the plurality of beam boundary findings to obtain a target boundary normals, and finally, a cell azimuth angle corresponding to a beam measurement result is determined according to the position relationship between the target boundary normals and a preset center normals, so that the calculation of the cell azimuth angle is more accurate through the position relationship between the target boundary normals and the preset center normals, and the influence of other non-boundary terminals is avoided.
It should be noted that, the beam direction of the preset center normal is the coverage center direction of the cell covered by the base station, that is, the main beam direction of the base station, and the base station may perform calculation of the cell azimuth according to the included angle between the main beam direction and other beam directions.
Referring to fig. 7, fig. 7 is a further illustration of step S450 of fig. 6, step S450 including, but not limited to, steps S451 through S452.
Step S451: when the target boundary normal coincides with the preset center normal, determining a cell azimuth according to the beam direction of the target boundary normal and the position coordinates of the base station;
step S452: when the target boundary normal line intersects with the preset center normal line, a symmetrical boundary normal line corresponding to the target boundary normal line is determined by taking the preset center normal line as an axis, and the cell azimuth angle is determined according to the beam direction of the target boundary normal line, the beam direction of the symmetrical boundary normal line and the position coordinates of the base station.
In some embodiments, when the target boundary normal coincides with the preset center normal, the cell azimuth angle may be determined directly according to the beam direction of the target boundary normal and the position coordinate of the base station, where the position coordinate of the base station may be obtained according to the GPS position coordinate; when the target boundary is found to intersect with the preset center normal, the symmetrical boundary normal symmetrical to the target boundary normal is determined by taking the preset center normal as an axis, and the cell azimuth angle is determined according to the position relation of the target boundary normal and the symmetrical boundary normal, so that the calculation result is more accurate.
Referring to fig. 8, fig. 8 is a further illustration of step S452 of fig. 7, step S452 including, but not limited to, steps S4521 to S4522.
Step S4521: calculating an included angle between the beam direction of the target boundary normal and the beam direction of the preset center normal by taking the position coordinates of the base station as the vertex to obtain a first included angle, and calculating an included angle between the beam direction of the symmetrical boundary normal and the beam direction of the preset center normal to obtain a second included angle;
step S4522: and taking the intermediate value of the first included angle and the second included angle to obtain the azimuth angle of the cell.
In some embodiments, when the target boundary normal intersects with the preset center normal, the position coordinate of the base station is used as a vertex, the beam direction of the target boundary normal and the beam direction of the symmetric boundary normal are used as two sides, the included angle between the target boundary normal and the symmetric boundary normal is calculated, and the included angle is taken as a median value, so that the cell azimuth angle is obtained, and the labor cost for calculating the cell azimuth angle is reduced.
Referring to fig. 9, fig. 9 is a flowchart of a data processing method according to another embodiment of the present invention, including but not limited to steps S500 to S600.
Step S500: sending a position measurement request to the boundary terminal at intervals of preset time intervals so as to update the position coordinates reported by the boundary terminal;
step S600: and correcting the cell azimuth according to the updated position coordinates to obtain a corrected azimuth.
In some embodiments, the embodiments of the present application may further send a position measurement request to the border terminal at intervals of a preset time interval, so as to avoid occurrence of situations such as updating or moving of the border terminal, and update a position coordinate reported by the border terminal according to a measurement result returned by the terminal, so as to correct a cell azimuth according to the updated position coordinate, achieve post maintenance of the cell azimuth, and reduce maintenance cost of engineering parameters of the base station.
It should be noted that the preset time interval may be a periodic interval, for example, a position measurement request is sent to the border terminal every three days, every five days, or every five hours, or may be a time interval, for example, a position measurement request is sent to the border terminal every nine to twelve am points each day, or the like, which is not limited in this embodiment.
It will be appreciated that the update results of the position coordinates of the boundary terminals and the correction results of the cell azimuth may be presented on a map or by generating a data table or the like.
In order to more clearly illustrate the flow of the data processing method, a specific example will be described below.
Example one:
an example one is the overall flow of the data processing method.
In some embodiments, steps S1-S4 are specific method flows of the base station in the terminal grid processing module:
step S1: the terminal grid processing module is used for providing a standard for selecting boundary terminals, including but not limited to the fact that the difference value between the signal intensity of the strongest beam and the signal intensity of the second strongest beam in the beam measurement results reported by the terminals meets a preset difference value threshold; the terminal generates beam switching between two adjacent beams; the communication quality of the position of the terminal meets the preset communication requirement.
Step S2: and for the terminal under the multi-beam cell, the terminal reports the beam measurement result to the base station. And the base station collects the beam measurement results reported by the terminals or collects the terminals with the beam switching and the adjacent beams.
Step S3: and judging whether the reported beam measurement result reported by the collected terminal meets the definition of S1 for the beam measurement result, and continuing to step S1 if the judgment is negative. And S4 for a yes judgment.
Step S4: and (3) marking the terminal judged to be the positive terminal as a boundary terminal, and transmitting the terminal to the positioning information collecting module as input.
It should be noted that, for a terminal that does not satisfy the preset grid information or a terminal whose cell changes, the beam measurement result reported by the terminal is discarded and a terminal that is not a boundary is marked.
In some embodiments, steps S5-S8 are specific method flows of the base station in the positioning information collecting module:
step S5: and marking the current corresponding wave beam number of the boundary terminal for the boundary terminal identified by the terminal grid processing module.
Step S6: and sending a position measurement request for reporting position coordinates to the boundary terminal, wherein the position coordinates comprise but are not limited to coordinate information positioned by a GPS technology.
Step S7: and receiving the position coordinates reported by the boundary terminal.
Step S8: and for the boundary terminal reporting the position coordinates, re-acquiring the beam where the boundary terminal is located, and comparing the beam with the previous beam. If the beam changes, the corresponding beam information is updated. And grouping the position coordinates of the boundary terminals according to the beam measurement results. And sending the grouping result and the position coordinates to a terminal positioning information collecting module.
It should be noted that the location coordinates include, but are not limited to, location coordinates, longitude and latitude information, and the like.
In some embodiments, steps S9-S13 are specific method flows of the base station in the terminal positioning information collecting module:
step S9: and carrying out geographic presentation on the data transmitted by the positioning information collecting module according to the position coordinates.
Step S10: and judging the boundary terminal position coordinate aggregation area as a beam boundary area according to the beam measurement result. And calculating the center point of each beam boundary area according to a position confirmation algorithm or a GPS geographic averaging algorithm and other modes for boundary terminals in each beam boundary area.
Referring to fig. 10, fig. 10 is an exemplary diagram of calculating a target beam boundary normal provided by one specific example of the present invention;
step S11: as shown in fig. 10, for the center point calculated for each beam, in combination with the base station GPS position coordinates, a plurality of beam boundary normals can be calculated for an adjacent beam, and according to an average algorithm, only one boundary normal is obtained as the target boundary normal n= (n1+n2+n3+n4)/4 of the adjacent beam.
Step S12: when the target boundary normal coincides with the preset center normal, determining a cell azimuth according to the beam direction of the target boundary normal and the position coordinates of the base station;
step S13: when the target boundary normal line intersects with the preset center normal line, selecting a symmetrical beam boundary normal line corresponding to the target beam boundary normal line as a side according to the target beam boundary normal line, and calculating the cell azimuth angle.
Referring to fig. 11, fig. 11 is an exemplary diagram of calculating a cell azimuth angle provided by one specific example of the present invention;
in some embodiments, taking a 4-beam cell as an example, the target boundary normals N1, N2, N3 are calculated, and when the target boundary normals coincide with the preset center normals, that is, N2 coincides with the preset center normals, the azimuth angle corresponding to N2 can be considered as the cell azimuth angle. When the target boundary normal line intersects with the preset center normal line, determining that the symmetrical beam boundary normal line symmetrical to the target boundary normal line N1 is N3, and calculating the included angles Azimuth1 and Azimuth2 between the two normal lines and the preset center normal line by taking the target boundary normal line N1 and the symmetrical beam boundary normal line N3 as edges. Finally, the cell azimuth= (azimuth1+azimuth2)/2, and the cell Azimuth information is obtained more precisely.
In some embodiments, steps S14-S15 are specific method flows of the base station in the azimuth calibration module:
step S14: and periodically starting other modules, performing intermediate value operation on the calculated azimuth information, and calibrating the cell azimuth information. The results may be output by map presentation or by generating a data table, etc.
Step S15: in order to avoid untimely updating of the cell azimuth angle caused by manual operation or other environmental factors, the periodic updating function can update the cell azimuth angle according to a certain time interval.
As shown in fig. 12, the embodiment of the invention further provides a data processing device.
Specifically, the data processing apparatus includes: one or more processors and memory, one processor and memory being illustrated in fig. 12. The processor and the memory may be connected by a bus or otherwise, for example in fig. 12.
The memory is used as a non-transitory computer readable storage medium for storing a non-transitory software program and a non-transitory computer executable program, such as the data processing method in the embodiments of the present invention described above. The processor implements the data processing method in the above-described embodiments of the present invention by running a non-transitory software program stored in a memory, as well as the program.
The memory may include a memory program area and a memory data area, wherein the memory program area may store an operating system, at least one application program required for a function; the storage data area may store data and the like required for performing the data processing method in the embodiment of the present invention described above. In addition, the memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory may optionally include memory located remotely from the processor, the remote memory being connectable to the data processing apparatus through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Furthermore, the embodiment of the present invention provides a computer-readable storage medium storing a computer-executable program that is executed by one or more control processors, for example, by one of the processors in fig. 12, so that the one or more processors perform the data processing method in the embodiment of the present invention.
Furthermore, an embodiment of the present invention provides a computer program product, including a computer program or computer instructions, the computer program or computer instructions being stored in a computer-readable storage medium, a central management unit of a computer device reading the computer program or computer instructions from the computer-readable storage medium, the central management unit executing the computer program or computer instructions such that the computer device performs the data processing method of any of the previous embodiments.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a centralized management unit, such as a central centralized management unit, digital signal centralized management unit, or micro-centralized management unit, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as known to those skilled in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer. Furthermore, as is well known to those of ordinary skill in the art, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media.
Claims (11)
1. A data processing method is applied to a base station, and comprises the following steps:
transmitting a beam measurement request to a terminal so as to receive a beam measurement result reported by the terminal;
determining boundary terminals according to the beam measurement result and preset grid information, wherein the preset grid information is used for representing screening conditions for screening terminals positioned at the boundary between at least two beams;
sending a position measurement request to the boundary terminal to receive the position coordinates reported by the boundary terminal, and grouping the boundary terminal according to the position coordinates to obtain a grouping result;
and determining the center point of each beam in the beam measurement results according to the grouping results, and obtaining the cell azimuth angle according to a plurality of the center points.
2. The data processing method according to claim 1, wherein the preset grid information includes at least one of:
in the beam measurement results reported by the terminal, the difference value between the signal intensity of the strongest beam and the signal intensity of the second strongest beam meets a preset difference value threshold;
the terminal performs beam switching between two adjacent beams;
the communication quality of the position of the terminal meets the preset communication requirement.
3. The data processing method according to claim 1, wherein the determining a boundary terminal according to the beam measurement result and preset grid information includes:
when the beam measurement result meets the preset grid information, screening the beam measurement result according to the preset grid information, and determining the boundary terminal;
or,
and when the beam measurement result does not meet the preset grid information, discarding the beam measurement result, and resending the beam measurement request to the terminal to determine the boundary terminal.
4. The data processing method of claim 1, wherein said determining a center point of each beam in the beam measurement results from the grouping results comprises:
determining a plurality of beam boundary areas corresponding to the beam measurement results according to the grouping results;
and calculating all the boundary terminals in each beam boundary area to obtain the center point of the beam boundary area.
5. The data processing method according to claim 4, wherein the calculating all the boundary terminals in each beam boundary region to obtain the center point of the beam boundary region includes:
and in the beam boundary area, calculating the position coordinates of each boundary terminal according to a preset position average algorithm to obtain the central point of the beam boundary area.
6. The data processing method according to claim 1, wherein the obtaining the cell azimuth from a plurality of the center points includes:
calculating according to the plurality of center points and the position coordinates of the base station to obtain a plurality of beam boundary normals;
averaging the beam boundary normals to obtain target boundary normals;
and determining the azimuth angle of the cell according to the position relation between the target boundary normal and the preset center normal.
7. The method according to claim 6, wherein determining the cell azimuth according to the positional relationship between the target boundary normal and a preset center normal comprises:
when the target boundary normal coincides with the preset center normal, determining the cell azimuth according to the beam direction of the target boundary normal and the position coordinate of the base station;
or,
and when the target boundary normal line is intersected with the preset center normal line, determining a symmetrical boundary normal line corresponding to the target boundary normal line by taking the preset center normal line as an axis, and determining the cell azimuth angle according to the target boundary normal line, the symmetrical boundary normal line and the preset center normal line.
8. The data processing method according to claim 7, wherein the determining the cell azimuth from the target boundary normal, the symmetric boundary normal, and the preset center normal includes:
calculating an included angle between the beam direction of the target boundary normal and the beam direction of the preset center normal by taking the position coordinates of the base station as vertexes to obtain a first included angle, and calculating an included angle between the beam direction of the symmetrical boundary normal and the beam direction of the preset center normal to obtain a second included angle;
and taking a middle value of the first included angle and the second included angle to obtain the cell azimuth angle.
9. The data processing method according to claim 1, characterized by further comprising:
sending the position measurement request to the boundary terminal at intervals of preset time intervals so as to update the position coordinates reported by the boundary terminal;
and correcting the azimuth angle of the cell according to the updated position coordinates to obtain a corrected azimuth angle.
10. A data processing apparatus comprising: memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the data processing method according to any of claims 1 to 9 when executing the computer program.
11. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer-executable program for causing a computer to execute the data processing method according to any one of claims 1 to 9.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210910559.2A CN117528543A (en) | 2022-07-29 | 2022-07-29 | Data processing method, device and storage medium |
| PCT/CN2023/092783 WO2024021754A1 (en) | 2022-07-29 | 2023-05-08 | Data processing method and device, and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210910559.2A CN117528543A (en) | 2022-07-29 | 2022-07-29 | Data processing method, device and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117528543A true CN117528543A (en) | 2024-02-06 |
Family
ID=89705219
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210910559.2A Pending CN117528543A (en) | 2022-07-29 | 2022-07-29 | Data processing method, device and storage medium |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN117528543A (en) |
| WO (1) | WO2024021754A1 (en) |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060084474A1 (en) * | 2004-10-18 | 2006-04-20 | Interdigital Technology Corporation | Method and system for managing a cell sectorized by both an angle in azimuth and a distance from a base station |
| CN107770788B (en) * | 2016-08-19 | 2021-05-04 | 成都鼎桥通信技术有限公司 | Method and device for detecting azimuth anomaly of base station cell |
| CN106982453B (en) * | 2017-03-24 | 2019-12-31 | 润建通信股份有限公司 | Cell azimuth evaluation system and method based on measurement data |
| CN110430578B (en) * | 2019-08-12 | 2022-04-19 | 桔帧科技(江苏)有限公司 | Method for realizing cell azimuth prediction based on mobile terminal data |
| CN114339779B (en) * | 2020-09-30 | 2023-05-30 | 中国联合网络通信集团有限公司 | Method and device for determining azimuth angle of base station cell |
-
2022
- 2022-07-29 CN CN202210910559.2A patent/CN117528543A/en active Pending
-
2023
- 2023-05-08 WO PCT/CN2023/092783 patent/WO2024021754A1/en unknown
Also Published As
| Publication number | Publication date |
|---|---|
| WO2024021754A1 (en) | 2024-02-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107466103B (en) | Terminal positioning method and network equipment | |
| US8295853B2 (en) | Method and system for refining accuracy of location positioning | |
| CN103068039B (en) | Wireless fidelity (WIFI) signal-based locating method for received signal strength indicator (RSSI) values | |
| CN109548074B (en) | Uplink interference source waveform positioning method, device, equipment and medium based on MR | |
| EP2640116B1 (en) | Calibration method and device for coverage database | |
| US20130005297A1 (en) | Method and apparatus for mapping operating parameter in coverage area of wireless network | |
| US20130005349A1 (en) | Method and apparatus for geo-locating mobile station | |
| CN108124279B (en) | Network coverage quality evaluation method and device | |
| US8478280B1 (en) | Minimum coverage area of wireless base station determination | |
| US8135416B2 (en) | Method and arrangement for determining terminal position | |
| CN109471134B (en) | Automatic calibration of geolocation analysis system and operator network equipment parameters | |
| CN106899985A (en) | The appraisal procedure and device of a kind of network coverage | |
| JP2013515414A (en) | Method and system for automatic coverage assessment for cooperating wireless access networks | |
| CN111246364B (en) | Cross-zone coverage assessment method and device | |
| CN113225805B (en) | Method and device for determining synchronous deviation of positioning base station | |
| EP4235614A1 (en) | Radio map generation device, radio map provision device, radio map acquisition and utilization device, and probe information transmission device | |
| CN103517310A (en) | Method for automatically correcting positioning wireless base station dataset | |
| JP2024512683A (en) | Autonomous geographic location determination using mesh networks | |
| CN114363815B (en) | Network quality determining method, equipment control method, device, medium and equipment | |
| CN109982368B (en) | Method, device, equipment and medium for checking cell azimuth | |
| CN117528543A (en) | Data processing method, device and storage medium | |
| CN108684074A (en) | Distance measuring method based on RSSI and device | |
| EP2168391B1 (en) | Method and arrangement for positioning in a mobile telecommunication network | |
| EP2595436A1 (en) | A method and a network node for localization of a user equipment | |
| CN111417143B (en) | Cell reporting method and network equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication |