Analyzing system and analyzing method for wireless network optimizing computer

Abstract

The invention relates to an analyzing system and an analyzing method for a wireless network optimizing computer. The system consists of a data source, a data importing module, a wireless network performance intelligent analysis module, wireless network coverage state analysis module, geographic information module, a wireless network cell grade accurate analysis GIS (geographic information system) platform and a solution and needed original data exporting module. The method comprises the following steps of: acquiring data source; importing data and transmitting the imported data to the wireless network performance intelligent analysis module and the wireless network coverage state analysis module for analysis processing by using the data importing module; transmitting an analysis result and geographic information to the wireless network cell grade accurate analysis GIS module to obtain a solution; and outputting a network optimizing scheme by using the solution and the needed original data exporting module. Due to the adoption of the system and the method, the performance of an overall network can be rapidly and efficiently improved, problems can be analyzed and solved accurately, the technical threshold of network optimization is lowered and a network optimizing activity can meet and realize the requirement on industrialization.

Description

technical field [0001] The invention belongs to the field of wireless network testing and optimization, in particular to a wireless network optimization computer analysis system and analysis method. Background technique [0002] The existing wireless network optimization analysis is mainly to carry out network drive test (DT test) and call test (CQT) to the wireless network coverage area and record the test data, and then analyze the drive test data with software. It only has the function of data management, but does not have the function of analyzing the cause of the problem. The analysis mainly relies on manual work. The network optimization personnel judge and locate the problem based on the drive test analysis results combined with background statistics based on experience, and propose possible causes and solutions, and then make trial adjustments to the network. , verify the analysis and solutions, and repeat until the problem is identified or resolved. [0003] This d...

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Problems solved by technology

[0004] 1. The data source of the analysis is obtained from the road test. The traditional test is basically the road test. To be precise, it should be the wireless network test of the measured road track, not the wireless network test of the measured area; only the problems encountered in the road test can be solved. It was discovered that the road test is limited by the road and can only provide the network status of the road, and the road only accounts for a small part of the overall network. The main communication business does not happen on the road, but in the office and living areas outside the road. ; At the same time, the wireless network construction has been very dense and huge, and the road coverage has been very good as the focus. The main and a large number of problems in the wireless network cannot be found through the drive test

[0005] 2. The problems found in the drive test are only individual and independent events, and the correlation is not strong. However, the performance indicators of the wireless network are closely related and affected by each other. The reasons for affecting the indicators are not unique but multiple. are interconnected, so that it is difficult, cumbersome, complex, or even impossible to target individual and independent incidents to solve network problems

[0006] 3. Pull-net road testing requires a lot of manpower, material resources, and time, with little effect

[0007] 4. The analysis of data and the judgment and resolution of problems are mainly carried out by network optimization personnel. Therefore, the level and ability of personnel determine the level and ability of network optimization. Personality varies greatly, and the degree of problem solving varies greatly. The efficiency of analysis is very low, and many problems often cannot be solved for a long time; at the same time, there are few high-level network optimization analysts, and the wireless network is very huge, and the workload of network optimization is very heavy. There is a great contradiction between the demand for optimized technical personnel and high-level network optimization analysts

[0008] 5. It can only solve the problems and events that have occurred, and cannot predict the future development and change trend of network performance from the perspective of the entire network, let alone pre-optimize the network according to the development trend

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