Wireless network optimization test system based on intelligent mobile phone of ordinary user

Abstract

The invention provides a wireless network optimization test system based on an intelligent mobile phone of an ordinary user. A network optimization automatic test client is downloaded and mounted on the intelligent mobile phone and is enabled to be a network optimization test terminal, the terminal achieves message interaction through a mobile network and a radio network optimization (RNO) server in a mobile core network. The RNO server automatically selects the network optimization test terminal performing test tasks according to wireless optimization test requirements and sends test instruction messages to the terminal, the network optimization test terminal analyzes and performs test tasks and reports test results, and the RNO server collets and settles a plurality of test results of the network optimization test terminal to form a test report finally. According to the wireless network optimization test system, the wireless optimization automatic test of the mobile network can be achieved conveniently, and a large number of manpower and time costs can be saved for network optimization work.

Description

technical field [0001] The invention relates to a wireless network optimization test system, in particular to a system 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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