CN112637877A - Signal base station network optimization method - Google Patents
Signal base station network optimization method Download PDFInfo
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- CN112637877A CN112637877A CN202110012815.1A CN202110012815A CN112637877A CN 112637877 A CN112637877 A CN 112637877A CN 202110012815 A CN202110012815 A CN 202110012815A CN 112637877 A CN112637877 A CN 112637877A
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- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000005457 optimization Methods 0.000 title claims abstract description 30
- 238000012360 testing method Methods 0.000 claims description 18
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
Abstract
The invention discloses a method for optimizing a signal base station network, which comprises the following steps: 1) optimizing parameters; 2) optimizing the frequency; 3) optimizing the capacity; 4) configuration optimization; 5) and optimizing the software. The invention belongs to the technical field of network optimization, and particularly relates to a signal base station network optimization method which reduces unnecessary system overhead, increases system effective capacity or adjusts load distribution, relieves congestion and ensures network safety.
Description
Technical Field
The invention belongs to the technical field of network optimization, and particularly relates to a signal base station network optimization method.
Background
The goal of network optimization is to improve or maintain network quality, which is the result of interaction of various factors, and the optimization scope is continuously expanded with the further development of optimization work and the improvement of optimization technology. In fact, the object of optimization is not just the current network, it has penetrated every link of the whole cyclic process including market forecasting, network planning, engineering implementation up to the time of putting into operation.
Disclosure of Invention
In view of the above situation, to overcome the defects in the prior art, the present invention provides a method for optimizing a signal base station network, which reduces unnecessary system overhead, increases system effective capacity or adjusts load distribution, alleviates congestion, and ensures network security.
The technical scheme adopted by the invention is as follows: the invention discloses a signal base station network optimization method, which comprises the following steps:
1) parameter optimization: adjusting parameters such as handoff and power control to improve network performance based on the structure of the network and the behavior of the user;
2) frequency optimization: according to the statistical analysis of the drive test and the telephone traffic, the coverage is improved and the frequency interference inside and outside the network is reduced by methods of changing the frequency, adjusting the inclination angle and the pitch angle of the antenna, adjusting the adjacent relation of the cell and the like;
3) capacity optimization: monitoring the increase of the system capacity, giving early warning to the system bottleneck in time, reducing unnecessary system load to increase the effective capacity of the system, thereby better ensuring the network safety under high load and improving the utilization rate of network resources;
4) configuration optimization: reallocating wireless and wired resources according to the distribution conditions of pilot call, bit hiding update and switching, and the traffic and the flow direction of a message to relieve the blocking phenomenon of a local area, reduce unnecessary system load and enable a network to reach an optimal balance state;
5) optimizing software: the method comprises the steps of adopting drive test data analysis software, frequency planning and optimizing software, information analysis software, telephone traffic statistical data processing software, a geographic information system and ticket analysis.
Further, the drive test data analysis software in the step 5) can record downlink level, call quality, information and corresponding longitude and latitude information received by the test mobile phone, and can perform high-speed scanning on uplink and downlink full frequency bands.
Further, the frequency planning and optimizing software in the step 5) has some drive test data processing functions, so that more accurate wireless planning can be performed.
Furthermore, the trust analysis software in the step 5) enhances the functions of flow self-definition, matching search and statistics, and modularizes the common method, thereby improving the efficiency of solving common problems.
Furthermore, the telephone traffic statistical data processing software in the step 5) provides a large amount of system information, which is the most important data source for network optimization, and the good data processing software not only can automatically calculate the performance indexes defined by operators and suppliers and automatically generate short-term and long-term reports with charts, but also has a functional module capable of performing thematic analysis, and all of the system information can call a geographic information system to be displayed on a map.
Further, the application program developed by the geographic information system on the geographic information system platform in the step 5) can display various system data such as network performance indexes, system loads, geographic distribution of frequency and road test data on a real map, so that a user can find problems intuitively.
Further, the bill analysis in step 5) includes various information such as the numbers of the calling and called users, the call initiating cell, the occupied relay, and the reason of call release, and by extracting the information, the bill analysis software can track the specific user and the number and extract important market information.
The invention with the structure has the following beneficial effects: the signal base station network optimization method reduces unnecessary system overhead, increases system effective capacity or adjusts load distribution, relieves congestion and ensures network safety.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments; all other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention discloses a signal base station network optimization method, which comprises the following steps: the method comprises the following steps:
1) parameter optimization: adjusting parameters such as handoff and power control to improve network performance based on the structure of the network and the behavior of the user;
2) frequency optimization: according to the statistical analysis of the drive test and the telephone traffic, the coverage is improved and the frequency interference inside and outside the network is reduced by methods of changing the frequency, adjusting the inclination angle and the pitch angle of the antenna, adjusting the adjacent relation of the cell and the like;
3) capacity optimization: monitoring the increase of the system capacity, giving early warning to the system bottleneck in time, reducing unnecessary system load to increase the effective capacity of the system, thereby better ensuring the network safety under high load and improving the utilization rate of network resources;
4) configuration optimization: reallocating wireless and wired resources according to the distribution conditions of pilot call, bit hiding update and switching, and the traffic and the flow direction of a message to relieve the blocking phenomenon of a local area, reduce unnecessary system load and enable a network to reach an optimal balance state;
5) optimizing software: the method comprises the steps of adopting drive test data analysis software, frequency planning and optimizing software, information analysis software, telephone traffic statistical data processing software, a geographic information system and ticket analysis.
The drive test data analysis software in the step 5) can record downlink level, call quality and information received by the test mobile phone and corresponding longitude and latitude information, and can perform high-speed scanning on uplink and downlink full frequency bands.
And 5) the frequency planning and optimizing software has some drive test data processing functions, so that more accurate wireless planning is performed.
The trust analysis software in the step 5) enhances the functions of self-definition, matching search and statistics of the process, modularizes the common method and improves the efficiency of solving common problems.
The telephone traffic statistical data processing software in the step 5) provides a large amount of system information, which is the most important data source for network optimization, the good data processing software not only can automatically calculate the performance indexes defined by operators and suppliers and automatically generate short-term and long-term reports with charts, but also has a functional module capable of carrying out special analysis, and all the system information can call a geographic information system to be displayed on a map.
The application program developed by the geographic information system on the geographic information system platform in the step 5) can display various system data such as network performance indexes, system load, geographic distribution of frequency and drive test data on a real map, so that a user can find problems intuitively.
And 5) analyzing the call bill to obtain various information such as the numbers of the calling party and the called party, the call initiating cell, the occupied relay and the call release reason, and extracting the information to enable call bill analysis software to track the specific user and the number and extract important market information.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
The present invention and the embodiments thereof have been described above, and the description is not restrictive, but is only one of the embodiments of the present invention, and is not limited thereto. In summary, those skilled in the art should appreciate that they can readily use the disclosed conception and specific embodiments as a basis for designing or modifying other structures for carrying out the same purposes of the present invention without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (7)
1. A method for optimizing a signal base station network is characterized in that:
the method comprises the following steps:
1) parameter optimization: adjusting parameters such as handoff and power control to improve network performance based on the structure of the network and the behavior of the user;
2) frequency optimization: according to the drive test and the traffic statistic analysis, the coverage is improved and the frequency interference inside and outside the network is reduced by frequency change, antenna inclination angle and pitch angle adjustment and cell adjacent relation adjustment methods;
3) capacity optimization: monitoring the increase of the system capacity, giving early warning to the system bottleneck in time, reducing unnecessary system load to increase the effective capacity of the system, thereby better ensuring the network safety under high load and improving the utilization rate of network resources;
4) configuration optimization: reallocating wireless and wired resources according to the distribution conditions of pilot call, bit hiding update and switching, and the traffic and the flow direction of a message to relieve the blocking phenomenon of a local area, reduce unnecessary system load and enable a network to reach an optimal balance state;
5) optimizing software: the method comprises the steps of adopting drive test data analysis software, frequency planning and optimizing software, information analysis software, telephone traffic statistical data processing software, a geographic information system and ticket analysis.
2. The method of claim 1, wherein the method comprises: the drive test data analysis software in the step 5) can record downlink level, call quality and information received by the test mobile phone and corresponding longitude and latitude information, and can perform high-speed scanning on uplink and downlink full frequency bands.
3. The method of claim 1, wherein the method comprises: and 5) the frequency planning and optimizing software has some drive test data processing functions, so that more accurate wireless planning is performed.
4. The method of claim 1, wherein the method comprises: the trust analysis software in the step 5) enhances the functions of self-definition, matching search and statistics of the process, modularizes the common method and improves the efficiency of solving common problems.
5. The method of claim 1, wherein the method comprises: the telephone traffic statistical data processing software in the step 5) provides a large amount of system information, which is the most important data source for network optimization, the good data processing software not only can automatically calculate the performance indexes defined by operators and suppliers and automatically generate short-term and long-term reports with charts, but also has a functional module capable of carrying out special analysis, and all the system information can call a geographic information system to be displayed on a map.
6. The method of claim 1, wherein the method comprises: the application program developed by the geographic information system on the geographic information system platform in the step 5) can display various system data such as network performance indexes, system load, geographic distribution of frequency and drive test data on a real map, so that a user can find problems intuitively.
7. The method of claim 1, wherein the method comprises: and 5) analyzing the call bill to obtain various information such as the numbers of the calling party and the called party, the call initiating cell, the occupied relay and the call release reason, and extracting the information to enable call bill analysis software to track the specific user and the number and extract important market information.
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| CN202110012815.1A CN112637877A (en) | 2021-01-06 | 2021-01-06 | Signal base station network optimization method |
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| CN202110012815.1A CN112637877A (en) | 2021-01-06 | 2021-01-06 | Signal base station network optimization method |
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Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106792822A (en) * | 2016-12-28 | 2017-05-31 | 贺州学院 | A kind of optimization method of communication network |
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Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106792822A (en) * | 2016-12-28 | 2017-05-31 | 贺州学院 | A kind of optimization method of communication network |
Non-Patent Citations (2)
| Title |
|---|
| 赵继东: "移动通信网络优化", 无线电通信技术, vol. 29, no. 04, pages 36 - 37 * |
| 陈孔华: "小灵通网络优化的现状与发展", 信息通信, no. 05, pages 40 - 42 * |
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