Network optimizing system and method

Abstract

The invention discloses a network optimizing system and a network optimizing method. The system comprises a signaling acquisition device, a database server, a data processing module and an optimizing application module, wherein the signaling acquisition device is used for acquiring signaling data from a mobile communication network and storing the acquired signaling data; the database server is used for storing acquired network optimizing analysis auxiliary data and storing the processed signaling data; the data processing module is used for gathering network optimizing analysis basic data and the network optimizing analysis auxiliary data and accomplishing a multilayer database framework for data processing and application; and an optimizing worker calls an analysis result in a multilayer data framework in a data analysis module through the application module so as to realize work in the network optimizing process. By the network optimizing system and the network optimizing method, comprehensive data can be acquired, network problems can be truly and comprehensively reflected, and network performance can be further optimized comprehensively.

Description

technical field [0001] The invention relates to the technical field of mobile communication network optimization, in particular to a mobile communication network optimization system and method. Background technique [0002] Mobile communication network optimization is usually defined as after the mobile operator completes the communication network construction, network optimization personnel use various technical means to discover and solve various problems in the network, so as to improve the performance of mobile communication network equipment, network assessment quality, and mobile user satisfaction. degree purpose. This work is the sublimation of the routine network operation and maintenance work, and is an indispensable daily work for the continuous improvement of network operation and maintenance quality. [0003] The current mobile communication network optimization mainly finds problems through drive test (DT), call quality test (CQT), network performance statistic...

AI Technical Summary

Problems solved by technology

[0012] User complaints are generally caused by network problems that make the user's tolerance reach the limit, and those hidden network problems that have not been complained may be difficult to find; secondly, the problems complained by users are very random, and it is difficult to reproduce them in field tests Network problems; the third user complaints are related to the tolerance level of the user group and the personnel structure. Some user groups may not report network problems in the form of complaints, but directly transfer their personal feelings to the operator's network, affecting the public of the operator. public opinion evaluation

[0013] 2) The purpose of network optimization is single, generally for the purpose of index improvement, which cannot take into account user experience and actual network service performance improvement

[0014] The analysis of network performance statistical reports generally only focuses on the improvement of network assessment indicators and the problems found in drive test (DT), call quality test (CQT) and user complaints. It is impossible to discover and predict potential network problems, which is important for the improvement of overall network service performance. , the optimization of network element performance and other issues cannot be fully paid attention to, and these work contents will actually be related to the income of operators and the actual experience of users

[0015] 3) The quality of optimization work depends on the technical ability and experience of optimization personnel, and it is difficult to ensure continuous stability

Therefore, when actually solving network problems, differences in technical capabilities and optimization experience may lead to completely different optimization effects

[0017] However, network optimization work is generally carried out according to project bidding and divided into time periods. Therefore, when optimization personnel change or network structure changes, network service quality will not be guaranteed.

[0018] 4) Unable to precisely locate network problems

[0019] The traditional statistical analysis method simply collects statistics and summaries of network events, and its positioning accuracy is as small as a cell-level index (cell). Generally, a cell covers a diameter of about 1.5 kilometers in an urban area, and the urban-suburban junction is larger, and even in rural areas. Reaching more than ten kilometers, this statistical method has the problems of insufficient positioning accuracy and the inability to filter out occasional events

[0020] 5) Personnel costs and equipment costs are too high

[0022] Therefore, the high cost of personnel and equipment has become a drawback of conventional network optimization

If the cost of personnel and equipment is simply reduced, it will inevitably lead to the decline of optimization methods and optimization capabilities, which will affect the network optimization effect.

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