Wireless network optimization testing method based on smart phone of common user

Abstract

The invention provides a wireless network optimization testing method based on a smart phone of a common user. A network optimization automatic testing client is downloaded and installed on the smart phone and enable the client to be a network optimization testing terminal. A radio network optimization (RNO) server searches a data base according to information in network optimization testing objective areas and looks for an appropriate network optimization testing terminal which serves as an executor of the testing; then testing instruction information is sent to each of the network optimization testing terminals; the network optimization testing terminals receive and analyze the testing instruction information, and performs a testing task and reports a testing result according to a triggering condition, testing content and a testing requirement in the testing instruction information; and the RNO server analyzes and systemizes the testing results, eliminates invalid data, synthesizes each of the correct testing results and forms a final testing report. According to the method, the mobile network wireless optimization automatic testing can be achieved conveniently, and a large amount of manual labor and the time cost are saved for network optimization work.

Description

technical field [0001] The invention relates to a wireless network optimization test method, in particular to a method for automatically performing a mobile network wireless optimization test by using an ordinary mobile user intelligent terminal. Background technique [0002] For mobile wireless networks, in order to ensure the quality of network services, control network operating costs, and enhance the core competitiveness of enterprises, network optimization is particularly important, and the effectiveness of continuous optimization will have a significant impact on network quality and efficiency. Network optimization has two purposes: from the perspective of operator benefits, under the existing network resources, rationally allocate resources, improve equipment utilization and optimize network operation quality; from the perspective of user satisfaction, meet user requirements for service quality, Provide users with more reliable, stable and high-quality network service...

AI Technical Summary

Problems solved by technology

This method improves the network optimization work efficiency of large-scale networking, but its test network parameters are limited, mainly limited to some parameters that reflect the pilot frequency pollution of TD-SCDMA network. The process still requires the full participation of testers

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