CN113365305A - Network coverage data processing method, device, medium and electronic equipment - Google Patents
Network coverage data processing method, device, medium and electronic equipment Download PDFInfo
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- CN113365305A CN113365305A CN202110729721.6A CN202110729721A CN113365305A CN 113365305 A CN113365305 A CN 113365305A CN 202110729721 A CN202110729721 A CN 202110729721A CN 113365305 A CN113365305 A CN 113365305A
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Abstract
The embodiment of the application provides a method, a device, a medium and an electronic device for processing network coverage data. The method comprises the following steps: acquiring a time lead parameter generated by a communication sampling point in each network cell in a target area through a network management system; for each target network cell, determining a relative position relationship between the communication sample point and a signal site of the target network cell through the time advance parameter, wherein the target network cell is any one network cell in the target area; determining the network coverage position of the target network cell based on the position of the signal station and the relative position relation corresponding to the communication sampling point; and evaluating the network coverage in the target area according to the network coverage position of each network cell in the target area. The technical scheme of the embodiment of the application can improve the evaluation efficiency aiming at the network coverage.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method, an apparatus, a medium, and an electronic device for processing network coverage data.
Background
At present, with deployment of multiple communication networks and continuous network construction, in the face of large-scale base station quantity and complex network coverage scenes, network coverage is estimated according to traditional network coverage indexes, which is tedious and long in time consumption, so that high-quality network service cannot be rapidly provided, difficulty is brought to network maintenance and optimization while network quality is affected, and based on the current situation, how to improve the estimation efficiency aiming at network coverage is a technical problem to be solved urgently.
Disclosure of Invention
Embodiments of the present application provide a method, an apparatus, a computer program product or a computer program, a medium, and an electronic device for processing network coverage data, so that evaluation efficiency for network coverage can be improved at least to a certain extent.
Other features and advantages of the present application will be apparent from the following detailed description, or may be learned by practice of the application.
According to an aspect of an embodiment of the present application, there is provided a method for processing network coverage data, the method including: acquiring a time lead parameter generated by a communication sampling point in each network cell in a target area through a network management system; for each target network cell, determining a relative position relationship between the communication sample point and a signal site of the target network cell through the time advance parameter, wherein the target network cell is any one network cell in the target area; determining the network coverage position of the target network cell based on the position of the signal station and the relative position relation corresponding to the communication sampling point; and evaluating the network coverage in the target area according to the network coverage position of each network cell in the target area.
According to an aspect of an embodiment of the present application, there is provided an apparatus for processing network coverage data, the apparatus including: an acquisition unit for acquiring the data of the received signal,
the acquiring unit is used for acquiring time lead parameters generated by communication sampling points in each network cell in a target area through a network management system; a first determining unit, configured to determine, for each target network cell, a relative position relationship between the communication sample and a signal site of the target network cell through the time advance parameter, where the target network cell is any one network cell in the target area; a second determining unit, configured to determine a network coverage position of the target network cell based on the position of the signal station and a relative position relationship corresponding to the communication sampling point; and the evaluation unit is used for evaluating the network coverage in the target area according to the network coverage position of each network cell in the target area.
In some embodiments of the present application, based on the foregoing scheme, the first determining unit is configured to: calculating the communication distance between the communication sampling point and the signal site of the network cell to which the communication sampling point belongs through the time advance parameter, and acquiring a communication azimuth angle parameter generated by the communication sampling point in each network cell in a target area through a network management system; and calculating the coordinate difference between the communication sampling point and the signal site of the network cell to which the communication sampling point belongs on each dimension through the communication distance and the communication azimuth angle parameter so as to take the coordinate difference as the relative position relation.
In some embodiments of the present application, based on the foregoing solution, the network cell includes at least two communication sampling points, and the first determining unit is configured to: determining an effective time lead parameter according to the distribution of the time lead parameters of the at least two communication sampling points on each numerical value; and calculating the communication distance between the communication sampling point and the signal site of the network cell to which the communication sampling point belongs according to the effective time advance parameter.
In some embodiments of the present application, based on the foregoing solution, the evaluation unit is configured to: connecting the positions of the signal stations of all the network cells in the target area with the network coverage positions to construct a network coverage simulation map in the target area; and evaluating the network coverage in the target area based on the network coverage simulation map.
In some embodiments of the present application, based on the foregoing solution, the evaluation unit is configured to: and when at least two connecting lines in the network coverage simulation map intersect, determining that the network in the target area has overlapping coverage.
In some embodiments of the present application, based on the foregoing solution, the evaluation unit is configured to: and when a connecting line crossing at least one signal station exists in the network coverage simulation map, determining that the network in the target area has the cross-area coverage.
In some embodiments of the present application, based on the foregoing solution, the obtaining unit is further configured to: and acquiring a time lead parameter generated by communication sampling points in each network cell in the target area within a historical preset time interval through a network management system.
According to an aspect of embodiments herein, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the processing method of the network coverage data described in the above embodiments.
According to an aspect of embodiments of the present application, there is provided a computer-readable storage medium on which a computer program is stored, the computer program, when executed by a processor, implementing the method for processing network coverage data as described in the above embodiments.
According to an aspect of an embodiment of the present application, there is provided an electronic device including: one or more processors; a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method of processing network coverage data as described in the above embodiments.
In the technical solutions provided in some embodiments of the present application, a relative position relationship between a communication sample point and a signal site of a network cell is determined by a time advance parameter of the communication sample point in each network cell in a target area, a network coverage position of the network cell is determined based on a position of the signal site and a relative position relationship corresponding to the communication sample point, and finally, network coverage in the target area is evaluated according to the network coverage position of each network cell in the target area. Because the network coverage position can directly reflect the network coverage state of the network cell, the network coverage in the target area is evaluated according to the network coverage position of each network cell, the existing network coverage problem can be more intuitively found, and the evaluation efficiency aiming at the network coverage is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application. It is obvious that the drawings in the following description are only some embodiments of the application, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:
FIG. 1 shows a schematic diagram of an exemplary system architecture to which aspects of embodiments of the present application may be applied;
FIG. 2 illustrates a flow diagram of a method of processing network coverage data according to one embodiment of the present application;
fig. 3 shows a detailed flowchart for determining the relative position relationship between the communication sample and the signal site of the target network cell by the timing advance parameter according to an embodiment of the present application;
fig. 4 shows a detailed flowchart for calculating the communication distance between the communication sample and the signal station of the network cell to which the communication sample belongs according to an embodiment of the present application;
FIG. 5 is a diagram illustrating the distribution of the timing advance parameters of a plurality of communication samples over various values
Fig. 6 shows a detailed flowchart for evaluating network coverage in the target area according to network coverage locations of network cells in the target area according to an embodiment of the present application;
FIG. 7 illustrates a schematic diagram of a network overlay simulation map according to one embodiment of the present application;
FIG. 8 shows a block diagram of a processing device of network coverage data according to one embodiment of the present application;
FIG. 9 illustrates a schematic structural diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present application.
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 application. One skilled in the relevant art will recognize, however, that the subject matter of the present application 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 application.
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.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
It should be noted that: reference herein to "a plurality" means two or more. "and/or" describe the association relationship of the associated objects, meaning that there may be three relationships, e.g., A and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
It is noted that the terms first, second and the like in the description and claims of the present application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the objects so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in other sequences than those illustrated or described herein.
Fig. 1 shows a schematic diagram of an exemplary system architecture to which the technical solution of the embodiments of the present application can be applied.
As shown in fig. 1, the system architecture may include terminal devices (e.g., smartphones 101, 104, etc. shown in fig. 1), a network 109, and a server 107. Network 109 is the medium used to provide communication links between terminal devices and server 107.
The terminal device shown in fig. 1 may be an electronic device such as a tablet computer or a portable computer.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation. For example, the server 107 may be a server cluster composed of a plurality of servers.
In an embodiment of the present application, a time advance parameter of communication samples (e.g. 101, 104 shown in fig. 1) in respective network cells (e.g. 103, 106 shown in fig. 1) within a target area 108 may be obtained by a server 107, and for each target network cell, the server 107 determines a relative position relationship between the communication sample and signal sites (e.g. 102, 105 shown in fig. 1) of the target network cell by using the time advance parameter, the target network cell is any one of the network cells within the target area, and based on the location of the signal site, and the relative position relation corresponding to the communication sampling points, determining the network coverage position of the target network cell, and finally, the server 107 evaluates the network coverage in the target area according to the network coverage position of each network cell in the target area.
It should be noted that the processing method of the network coverage data provided in the embodiment of the present application is generally executed by the server 107, and accordingly, the processing device of the network coverage data is generally disposed in the server 107. However, in other embodiments of the present application, other computer devices may also have similar functions with the server, so as to execute the processing scheme of the network coverage data provided by the embodiments of the present application.
The implementation details of the technical solution of the embodiment of the present application are set forth in detail below:
fig. 2 shows a flowchart of a processing method of network coverage data according to an embodiment of the present application, which may be performed by a device having a computing processing function, such as the server 107 shown in fig. 1. Referring to fig. 2, the method for processing network coverage data at least includes steps 210 to 270, which are described in detail as follows:
in step 210, a network management system obtains a time advance parameter generated by a communication sample in each network cell in a target area. In this application, the target area includes a plurality of network cells, where each network cell is a network signal coverage area under one signal site (e.g., a 4G base station, a 5G base station).
In the present application, the network management system may monitor communication parameters, such as Timing Advance (TA), communication azimuth, signal receiving power, and the like, of a communication terminal in a network cell during communication interaction with a signal site in the network cell to which the communication terminal belongs.
In this application, the communication sampling point may be a location where a historical user performs network communication in the network cell through a communication terminal.
In an embodiment of the present application, in step 210, a time advance parameter generated in a historical preset time interval of a communication sample point in each network cell in the target area may be obtained by the network management system.
For example, the network management system obtains the time advance parameter of the communication sample point in each network cell in the target area within the past week, and for example, the network management system obtains the time advance parameter of the communication sample point in each network cell in the target area within the past month.
In the present application, for each communication sample, the time advance parameter refers to a time required for communication interaction between a communication terminal corresponding to the communication sample and a signal station (i.e., a base station).
With continued reference to fig. 2, in step 230, for each target network cell, a relative position relationship between the communication sample and a signal site of the target network cell is determined by the time advance parameter, where the target network cell is any one network cell in the target area.
In this application, the communication azimuth angle parameter refers to an azimuth angle of a connection line between a communication sampling point and a base station
In this embodiment, determining the relative position relationship between the communication sample and the signal site of the target network cell through the timing advance parameter may be performed according to the steps shown in fig. 3.
Referring to fig. 3, a detailed flowchart of determining a relative position relationship between the communication sample and the signal site of the target network cell through the timing advance parameter according to an embodiment of the present application is shown. Specifically, the method comprises steps 231 to 232:
and 231, calculating the communication distance between the communication sampling point and the signal station of the network cell to which the communication sampling point belongs according to the time advance parameter, and acquiring a communication azimuth angle parameter generated by the communication sampling point in each network cell in the target area through a network management system.
In the present application, on the premise that the propagation speed of a network signal (i.e., the propagation speed of radio waves) is known, the distance between a communication sample and a signal site of a network cell may be calculated according to a time advance parameter, and further, on the basis that the communication distance between the communication sample and the signal site of the network cell to which the communication sample belongs is obtained and a communication azimuth parameter of a connection line between the communication sample and the signal site is known, a coordinate difference between the communication sample and the signal site in each dimension may be calculated.
In this embodiment, the network cell includes at least two communication sampling points, that is, for each network cell, there may be a plurality of communication terminals scattered in each position (i.e., each communication sampling point) of the network coverage area of the network cell for communication interaction.
In this embodiment, further, calculating the communication distance between the communication sample and the signal site of the network cell to which the communication sample belongs by using the time advance parameter may also be performed according to the steps shown in fig. 4.
Referring to fig. 4, a detailed flowchart for calculating a communication distance between the communication sample and a signal site of a network cell to which the communication sample belongs according to an embodiment of the present application is shown. Specifically, steps 2311 to 2312:
In the present application, for each network cell, since each communication terminal is distributed at each position in the network cell, correspondingly, the timing advance parameter of each communication sample is distributed on each numerical value. The number of the communication terminals distributed on each position is different, and correspondingly, the number of the communication sampling points distributed on each numerical value is different.
Based on this, an effective time advance parameter can be determined according to the distribution of the time advance parameters of the at least two communication sampling points on each numerical value, and the communication distance between the communication sampling point and the signal site of the network cell to which the communication sampling point belongs can be calculated according to the effective time advance parameter.
Specifically, a time advance parameter whose concentration of communication samples exceeds a predetermined threshold (for example, 85% of the predetermined threshold) may be determined as the valid time advance parameter.
For example, referring to fig. 5, a distribution diagram of the timing advance parameters of a plurality of communication samples on respective values is shown. As shown in fig. 5, a network cell 502 in a signal station 501 includes 9 values of a time advance parameter 503 and 100 communication samples 504, where the time advance parameter of 1 communication sample is a value 2, the time advance parameter of 2 communication samples is a value 3, the time advance parameter of 4 communication samples is a value 4, the time advance parameter of 86 communication samples is a value 5, the time advance parameter of 5 communication samples is a value 6, and the time advance parameter of 2 communication samples is a value 7.
As can be seen, the communication samples with the concentration of 86% are concentrated in the timing advance parameter with the value of 5, and the concentration exceeds 85%, so the timing advance parameter with the value of 5 is determined as the effective timing advance parameter.
In the present application, the effective time advance parameter reflects a concentration region of a communication terminal in a network cell, that is, a concentration region of network coverage to a certain extent, and the effective time advance parameter is used to calculate a communication distance between the communication sampling point and a signal site of the network cell to which the communication sampling point belongs, so that the accuracy of network coverage evaluation in the subsequent process can be enhanced.
With continued reference to fig. 2, in step 250, the network coverage location of the target network cell is determined based on the location of the signal station and the relative location relationship corresponding to the communication sample point.
In this application, when the coordinate difference in each dimension between the communication sample point and the signal site of the network cell to which the communication sample point belongs is taken as a relative position relationship, the network coverage position of the target network cell may be determined based on the position of the signal site, that is, the coordinate difference in each dimension between the communication sample point and the signal site is taken as an added value, and on the basis of the coordinate of the signal site in each dimension, the added value is correspondingly added to obtain the network coverage position of the target network cell.
With continued reference to fig. 2, in step 270, the network coverage in the target area is evaluated according to the network coverage location of each network cell in the target area.
In one embodiment of step 270, the evaluation of the network coverage in the target area according to the network coverage locations of the network cells in the target area may be performed according to the steps shown in fig. 6.
Referring to fig. 6, a detailed flowchart for evaluating network coverage in the target area according to the network coverage location of each network cell in the target area according to an embodiment of the present application is shown. Specifically, the method includes steps 271 to 272:
And 272, evaluating the network coverage in the target area based on the network coverage simulation map.
Specifically, in step 272, it may be determined that the network in the target area has overlapping coverage when at least two connecting lines in the network coverage simulation map intersect.
In the present application, the overlapping coverage reflects how many strong signal cells of the area are repeatedly covered. The network structure index reflects the degree of carrier superposition, the overlapping coverage reflects the degree of cell superposition, and an area with higher overlapping coverage is defined as an over-coverage area.
The overlapping coverage mainly has adverse effects such as low SINR (intra-network interference), low cell throughput, poor user perception, and the like.
In step 272, it may be determined that there is a handover coverage in the network in the target area when there is a connection line crossing at least one signal station in the network coverage simulation map.
In the application, the coverage of the cell is too far due to too high hanging height or too small pitching angle of the antenna of the signal station (base station), so that the cell is covered to an area covered by other stations, and the signal level received by a mobile phone in the area is good.
Specifically, the handover coverage has the following effects on the network:
first, the cross-over coverage is prone to islanding and even frequency interference. Causing erroneous handover, resulting in a large number of handover failures, and no handover relation resulting in dropped calls.
Second, handover coverage is prone to charging errors, and mobile communication carriers have now introduced various packages to the market, and in charging systems, charges are calculated using cell IDs. If an unexpected cell occurs in a given area, a wrong charging is certain to occur, which affects the use of the subscriber and causes complaints.
Thirdly, since the handover coverage absorbs extra traffic, the channel congestion of the handover cell may be caused, which affects the use of the user, and the situations of higher call drop rate, lower handover success rate, etc. due to the congestion may occur.
Fourthly, the cells covered by the cross-areas are unbalanced up and down in a large proportion, and as a result, the display received signals are strong (a certain relation is set with a BSC or a base station data access threshold), but the call cannot be made, the caller does not respond after dialing, the called party can ring but cannot make the call, that is, the negative influence caused by the cells covered by the cross-areas is large.
In order to better understand the overlapping coverage and handover coverage existing in the network coverage simulation map, those skilled in the art will now be described with reference to fig. 7.
Referring to FIG. 7, a schematic diagram of a network overlay simulation map is shown, according to one embodiment of the present application.
As shown in fig. 7, location 702 is the location of a single cell site in the target area, location 701 is the network coverage location of the single cell site 702, area 703 is the overlapping coverage area present in the target area, and area 704 is the handoff coverage area present in the target area.
In the method, the relative position relationship between the communication sample point and the signal site of the network cell is determined through the time advance parameter of the communication sample point in each network cell in the target area, and the network coverage position of the network cell is determined based on the position of the signal site and the relative position relationship corresponding to the communication sample point, and finally the network coverage in the target area is evaluated according to the network coverage position of each network cell in the target area. Because the network coverage position can directly reflect the network coverage state of the network cell, the network coverage in the target area is evaluated according to the network coverage position of each network cell, the existing network coverage problem can be more intuitively found, and the evaluation efficiency aiming at the network coverage is improved.
The following describes an embodiment of an apparatus of the present application, which may be used to execute the method for processing network coverage data in the foregoing embodiment of the present application. For details that are not disclosed in the embodiments of the apparatus of the present application, please refer to the embodiments of the method for processing network coverage data described above in the present application.
Fig. 8 shows a block diagram of a processing device of network coverage data according to an embodiment of the application.
Referring to fig. 8, a device 800 for processing network coverage data according to an embodiment of the present application includes: an acquisition unit 801, a first determination unit 802, a second determination unit 803, and an evaluation unit 804.
The acquiring unit 801 is configured to acquire, through a network management system, a time advance parameter generated by a communication sample in each network cell in a target area; a first determining unit 802, configured to determine, for each target network cell, a relative position relationship between the communication sample and a signal site of the target network cell according to the time advance parameter, where the target network cell is any one network cell in the target area; a second determining unit 803, configured to determine a network coverage position of the target network cell based on the position of the signal station and the relative position relationship corresponding to the communication sampling point; an evaluating unit 804, configured to evaluate network coverage in the target area according to network coverage positions of network cells in the target area.
In some embodiments of the present application, based on the foregoing scheme, the first determining unit 802 is configured to: calculating the communication distance between the communication sampling point and the signal site of the network cell to which the communication sampling point belongs through the time advance parameter, and acquiring a communication azimuth angle parameter generated by the communication sampling point in each network cell in a target area through a network management system; and calculating the coordinate difference between the communication sampling point and the signal site of the network cell to which the communication sampling point belongs on each dimension through the communication distance and the communication azimuth angle parameter so as to take the coordinate difference as the relative position relation.
In some embodiments of the present application, based on the foregoing solution, the network cell includes at least two communication sampling points, and the first determining unit 802 is configured to:
determining an effective time lead parameter according to the distribution of the time lead parameters of the at least two communication sampling points on each numerical value; and calculating the communication distance between the communication sampling point and the signal site of the network cell to which the communication sampling point belongs according to the effective time advance parameter.
In some embodiments of the present application, based on the foregoing solution, the evaluation unit 804 is configured to: connecting the positions of the signal stations of all the network cells in the target area with the network coverage positions to construct a network coverage simulation map in the target area; and evaluating the network coverage in the target area based on the network coverage simulation map.
In some embodiments of the present application, based on the foregoing solution, the evaluation unit 804 is configured to: and when at least two connecting lines in the network coverage simulation map intersect, determining that the network in the target area has overlapping coverage.
In some embodiments of the present application, based on the foregoing solution, the evaluation unit 804 is configured to: and when a connecting line crossing at least one signal station exists in the network coverage simulation map, determining that the network in the target area has the cross-area coverage.
In some embodiments of the present application, based on the foregoing scheme, the obtaining unit 801 is configured to: and acquiring a time lead parameter generated by communication sampling points in each network cell in the target area within a historical preset time interval through a network management system.
FIG. 9 illustrates a schematic structural diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present application.
It should be noted that the computer system 900 of the electronic device shown in fig. 9 is only an example, and should not bring any limitation to the functions and the scope of the application of the embodiments.
As shown in fig. 9, the computer system 900 includes a Central Processing Unit (CPU)901, which can perform various appropriate actions and processes, such as executing the methods described in the above embodiments, according to a program stored in a Read-Only Memory (ROM) 902 or a program loaded from a storage portion 908 into a Random Access Memory (RAM) 903. In the RAM903, various programs and data necessary for system operation are also stored. The CPU901, ROM902, and RAM903 are connected to each other via a bus 904. An Input/Output (I/O) interface 905 is also connected to bus 904.
The following components are connected to the I/O interface 905: an input portion 906 including a keyboard, a mouse, and the like; an output section 908 including a Display panel such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and a speaker; a storage portion 908 including a hard disk and the like; and a communication section 909 including a Network interface card such as a LAN (Local Area Network) card, a modem, or the like. The communication section 909 performs communication processing via a network such as the internet. The drive 910 is also connected to the I/O interface 905 as necessary. A removable medium 911 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 910 as necessary, so that a computer program read out therefrom is mounted into the storage section 908 as necessary.
In particular, according to embodiments of the application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a medium, the computer program comprising program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 909, and/or installed from the removable medium 911. The computer program executes various functions defined in the system of the present application when executed by a Central Processing Unit (CPU) 901.
It should be noted that the media shown in the embodiments of the present application may be computer readable signal media or computer readable storage media or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM), a 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. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any medium that can communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. Program code embodied on a medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.
As another aspect, the present application also provides a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the processing method of the network coverage data described in the above embodiments.
As another aspect, the present application also provides a computer-readable storage medium, which may be included in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The medium carries one or more programs, and when the one or more programs are executed by one of the electronic devices, the electronic device is enabled to implement the method for processing the network coverage data in the embodiment.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the application. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiments of the present application.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (10)
1. A method for processing network coverage data, the method comprising:
acquiring a time lead parameter generated by a communication sampling point in each network cell in a target area through a network management system;
for each target network cell, determining a relative position relationship between the communication sample point and a signal site of the target network cell through the time advance parameter, wherein the target network cell is any one network cell in the target area;
determining the network coverage position of the target network cell based on the position of the signal station and the relative position relation corresponding to the communication sampling point;
and evaluating the network coverage in the target area according to the network coverage position of each network cell in the target area.
2. The method of claim 1, wherein the determining the relative position relationship between the communication sample and the signal site of the target network cell through the timing advance parameter comprises:
calculating the communication distance between the communication sampling point and the signal site of the network cell to which the communication sampling point belongs through the time advance parameter, and acquiring a communication azimuth angle parameter generated by the communication sampling point in each network cell in a target area through a network management system;
and calculating the coordinate difference between the communication sampling point and the signal site of the network cell to which the communication sampling point belongs on each dimension through the communication distance and the communication azimuth angle parameter so as to take the coordinate difference as the relative position relation.
3. The method of claim 2, wherein the network cell includes at least two communication samples, and the calculating the communication distance between the communication sample and the signal site of the network cell to which the communication sample belongs by using the time advance parameter comprises:
determining an effective time lead parameter according to the distribution of the time lead parameters of the at least two communication sampling points on each numerical value;
and calculating the communication distance between the communication sampling point and the signal site of the network cell to which the communication sampling point belongs according to the effective time advance parameter.
4. The method of claim 1, wherein the evaluating the network coverage in the target area according to the network coverage locations of the network cells in the target area comprises:
connecting the positions of the signal stations of all the network cells in the target area with the network coverage positions to construct a network coverage simulation map in the target area;
and evaluating the network coverage in the target area based on the network coverage simulation map.
5. The method of claim 4, wherein the evaluating network coverage in the target area based on the network coverage simulation map comprises:
and when at least two connecting lines in the network coverage simulation map intersect, determining that the network in the target area has overlapping coverage.
6. The method of claim 4, wherein the evaluating network coverage in the target area based on the network coverage simulation map comprises:
and when a connecting line crossing at least one signal station exists in the network coverage simulation map, determining that the network in the target area has the cross-area coverage.
7. The method of claim 1, wherein the obtaining, by the network management system, the time advance parameter generated by the communication sample point in each network cell in the target area comprises:
and acquiring a time lead parameter generated by communication sampling points in each network cell in the target area within a historical preset time interval through a network management system.
8. An apparatus for processing network coverage data, the apparatus comprising:
the acquiring unit is used for acquiring time lead parameters generated by communication sampling points in each network cell in a target area through a network management system;
a first determining unit, configured to determine, for each target network cell, a relative position relationship between the communication sample and a signal site of the target network cell through the time advance parameter, where the target network cell is any one network cell in the target area;
a second determining unit, configured to determine a network coverage position of the target network cell based on the position of the signal station and a relative position relationship corresponding to the communication sampling point;
and the evaluation unit is used for evaluating the network coverage in the target area according to the network coverage position of each network cell in the target area.
9. A computer device comprising one or more processors and one or more memories having stored therein at least one program code, the at least one program code being loaded and executed by the one or more processors to implement the operations executed by the method of processing network coverage data according to any one of claims 1 to 7.
10. A computer-readable storage medium, having at least one program code stored therein, the at least one program code being loaded and executed by a processor to perform operations performed by the method for processing network coverage data according to any one of claims 1 to 7.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114040435A (en) * | 2021-11-26 | 2022-02-11 | 中国联合网络通信集团有限公司 | Method, device, storage medium and equipment for evaluating network coverage quality |
| CN114040405A (en) * | 2021-09-18 | 2022-02-11 | 浪潮通信信息系统有限公司 | Method and device for identifying code flower arrangement cell of position area |
| CN114158084A (en) * | 2021-11-16 | 2022-03-08 | 中国联合网络通信集团有限公司 | Cell coverage detection method, device, equipment and medium |
| CN114501477A (en) * | 2022-02-23 | 2022-05-13 | 阿里巴巴（中国）有限公司 | Method and device for determining installation point of wireless base station and terminal equipment |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102387510A (en) * | 2010-08-31 | 2012-03-21 | 中国移动通信集团黑龙江有限公司 | Method and system for revising network coverage |
| CN104469831A (en) * | 2014-12-02 | 2015-03-25 | 中国联合网络通信集团有限公司 | Method and device for detecting network coverage shrinkage failure |
| CN106572495A (en) * | 2016-09-29 | 2017-04-19 | 中国普天信息产业北京通信规划设计院 | Network quality monitoring method based on signalling and MR data and coverage assessment method based on signalling and MR data |
| US20170150506A1 (en) * | 2014-08-08 | 2017-05-25 | Kyocera Corporation | Control method and management apparatus |
| CN106899985A (en) * | 2015-12-17 | 2017-06-27 | 中国移动通信集团重庆有限公司 | The appraisal procedure and device of a kind of network coverage |
| CN110401956A (en) * | 2018-04-25 | 2019-11-01 | 中国移动通信集团广东有限公司 | Coverage evaluating method and apparatus |
| CN111885632A (en) * | 2020-06-30 | 2020-11-03 | 陈捷 | Network coverage detection method and network coverage detection device |
| CN112203293A (en) * | 2019-07-08 | 2021-01-08 | 中国移动通信集团浙江有限公司 | Cell over-coverage identification method, device, equipment and computer storage medium |
| CN112533218A (en) * | 2019-09-17 | 2021-03-19 | 中国移动通信集团广东有限公司 | Network coverage area identification method and electronic equipment |
-
2021
- 2021-06-29 CN CN202110729721.6A patent/CN113365305B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102387510A (en) * | 2010-08-31 | 2012-03-21 | 中国移动通信集团黑龙江有限公司 | Method and system for revising network coverage |
| US20170150506A1 (en) * | 2014-08-08 | 2017-05-25 | Kyocera Corporation | Control method and management apparatus |
| CN104469831A (en) * | 2014-12-02 | 2015-03-25 | 中国联合网络通信集团有限公司 | Method and device for detecting network coverage shrinkage failure |
| CN106899985A (en) * | 2015-12-17 | 2017-06-27 | 中国移动通信集团重庆有限公司 | The appraisal procedure and device of a kind of network coverage |
| CN106572495A (en) * | 2016-09-29 | 2017-04-19 | 中国普天信息产业北京通信规划设计院 | Network quality monitoring method based on signalling and MR data and coverage assessment method based on signalling and MR data |
| CN110401956A (en) * | 2018-04-25 | 2019-11-01 | 中国移动通信集团广东有限公司 | Coverage evaluating method and apparatus |
| CN112203293A (en) * | 2019-07-08 | 2021-01-08 | 中国移动通信集团浙江有限公司 | Cell over-coverage identification method, device, equipment and computer storage medium |
| CN112533218A (en) * | 2019-09-17 | 2021-03-19 | 中国移动通信集团广东有限公司 | Network coverage area identification method and electronic equipment |
| CN111885632A (en) * | 2020-06-30 | 2020-11-03 | 陈捷 | Network coverage detection method and network coverage detection device |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114040405A (en) * | 2021-09-18 | 2022-02-11 | 浪潮通信信息系统有限公司 | Method and device for identifying code flower arrangement cell of position area |
| CN114040405B (en) * | 2021-09-18 | 2023-10-20 | 浪潮通信信息系统有限公司 | Method and device for identifying flower arrangement cell by using position area code |
| CN114158084A (en) * | 2021-11-16 | 2022-03-08 | 中国联合网络通信集团有限公司 | Cell coverage detection method, device, equipment and medium |
| CN114158084B (en) * | 2021-11-16 | 2023-07-25 | 中国联合网络通信集团有限公司 | Cell coverage detection method, device, equipment and medium |
| CN114040435A (en) * | 2021-11-26 | 2022-02-11 | 中国联合网络通信集团有限公司 | Method, device, storage medium and equipment for evaluating network coverage quality |
| CN114040435B (en) * | 2021-11-26 | 2023-11-21 | 中国联合网络通信集团有限公司 | Evaluation method, device, storage medium and equipment for network coverage quality |
| CN114501477A (en) * | 2022-02-23 | 2022-05-13 | 阿里巴巴（中国）有限公司 | Method and device for determining installation point of wireless base station and terminal equipment |
| CN114501477B (en) * | 2022-02-23 | 2024-04-02 | 阿里巴巴（中国）有限公司 | Method and device for determining installation point of wireless base station and terminal equipment |
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|---|---|
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