基于遗传算法的LTE系统网络覆盖优化方法

Network Coverage Optimization Method Based on Genetic Algorithm for LTE System

随着LTE全面商用的深入,部分区域网络覆盖质量问题随之凸显。提出一种基于遗传算法的LTE系统网络覆盖优化方法,该方法来源于遗传算法,并根据LTE系统实际天线情况对遗传算法进行改进。首先根据现网扫频数据和天线参数计算网络覆盖质量,其次调整天线参数,再次估计调整后的网络覆盖质量,之后比较覆盖质量,如此循环迭代直至产生多个更优方案,最后从更优方案中筛选出最佳优化方案。该方法可依据现网情况灵活设置优化模式以及参数调整优先级,从而快速、准确地得到不同种模式下基站天线参数优化方案,并且在算法实现过程中对其进一步优化,大大提高了寻优效率。

With the development of commercial LTE system, the part of network coverage quality is highlighted. A network coverage optimization method for LTE system based on genetic algorithm was proposed in the paper. The genetic algorithm was improved in the proposed method according to the actual antennas of LTE system. Firstly, the network coverage quality was estimated according to the sweep data in current network and antenna parameters. Secondly, the antenna parameters were adjusted, the adjusted network coverage quality was re-estimated, and the two estimated quality were compared. Then, the best optimization scheme from all the variation schemes was selected; the above steps were repeated until an optimization was generated. According to the proposed method, can the optimization mode and the parameter adjustment priority were fl exibly set according to the current situation, the optimization scheme of the base station antenna parameters in different modes were obtained quickly and accurately, and the algorithm was further optimized in the process of algorithm implementation so as to greatly improve the optimization efficiency.