基于LightGBM算法的MR网络信号预测

MR Network Signal Prediction Based on LightGBM Algorithm

无线网络质量是运营商的命脉与核心,合理的无线网络规划能够保障网络覆盖范围广、干扰低、系统服务质量高、运营成本低以及网络结构达到最佳。提出了一种基于LightGBM算法的网络信号预测方法,采集基站现有的MR数据,对MR数据进行栅格化,并对栅格化后的数据进行分析处理,通过LightGBM算法对有经纬度的未知地区进行网络信号强度预测,从而实现无线网络优化,保证网络通信质量。

Wireless network quality is the core of telecom operators.Reasonable wireless network planning can guarantee wide network coverage,low interference,high system service quality,low operation cost and optimal network structure.It proposes a network signal prediction method based on lightGBM algorithm,which collects the existing MR data of the base station and rasterizes the MR data,then the rasterized data is analyzed and processed,and the network signal strength of the unknown area with longitude and latitude is predicted by LightGBM algorithm,so as to optimize the wireless network and ensure the quality of network communication.