Automated Coverage Optimization Scheme Based On Combined Multi-Parameter Adjustment In Wireless Access Networks

With the technology of wireless access network develops, the environment of wireless networks has become increasingly complex. And some problems caused by abnormal coverage of network will result in very bad influence on the whole wireless network. According to the current state of wireless network, it requires higher management and maintenance costs if administrators perform directly configuration, diagnosis and maintenance of the equipment and so on. This way is also unable to adapt to the variable and complex network due to the limitation of its model and parameters.To better solve the coverage abnormal problem caused by the unreasonable network parameter settings, we address the automated coverage optimization scheme based on downtilt-adjustment in wireless access networks. After testing and analyzing coverage abnormal situation, we definite adjustment scheme with the simulated annealing algorithm, then effectively execute, and the whole process will complete without human intervention. Simulation shows the optimization indicators of coverage have been improved, and the weak coverage and over coverage problem can be solved effectively.On the base of automated coverage optimization scheme based on downtilt-adjustment, an automated coverage optimization scheme based on combined multi-parameter adjustment of base stations in wireless access networks is proposed. It is applicable in WCDMA, TD-SCDMA, CDMA2000and LTE system. And the scheme is divided into four phases which are detecting, analyzing, planning and executing, the whole stage without need of manual management and maintenance. It take advantage of users’ measurement report, then assess current network state, and simulated genetic algorithm is adopted by the scheme to figure out an optimal combined adjustment solution for each base station. Finally, we complete coverage optimization by adjusting electronic downtilt and transmission power.Simulation results in Matlab show that the proposed automated coverage optimization scheme can improve wireless network coverage quality and it is better than that scheme based on downtilt-adjustment. Automated coverage optimization scheme based on combined multi-parameter adjustment can not only solve comprehensive coverage abnormal problem, but also have a great significance for improving coverage capacity performance of network.