基于用户大数据的5G天线权值优化方法研究

Research on 5G adaptive antenna pattern change based on user big data

利用AI技术对天线权值进行研究,针对Massive MIMO小区重叠覆盖区域的天线权值优化提出了一种天线权值自适应调整算法(AAPC)。为寻找较优的天线权值参数组合设置,引入蚁群搜索算法对天线权值进行智能估算,通过调整天线权值参数设置使网络覆盖最优、相互干扰最小。仿真实验以及现网实测结果表明,AAPC天线权值优化算法可获得较优的天线权值参数设置组合,网络覆盖的指标明显改善。

Using AI technology to study the antenna weight, an adaptive antenna weight adjustment algorithm(AAPC) is proposed to optimize the antenna weight in the overlapping coverage area of MIMO residential area. In order to find the optimal combination setting of antenna weight parameters, the ant colony search algorithm was introduced to estimate the antenna weights intelligently, and the optimal network coverage was improved and the mutual interference was minimized by adjusting the antenna weight parameters. The results of simulation experiment and live network measurement show that the AAPC antenna weight optimization algorithm can obtain a better combination of antenna weight parameters, and the network coverage index is significantly improved.