一种基于精准经纬度大数据的天馈优化方法

An antenna feed optimization method based on accurate big data of latitude and longitude

从一线优化人员的实际操作过程中发现,弱覆盖位置定位困难,优化方案因人而异,且随机性大,存在多次优化仍然无法满足要求的现象。当前,一项急需解决的研究课题是,无线网络优化的“三化”(标准会、智能化、自动化)工作。基于此,文章提出了一种基于MDT精准经纬度大数据的天馈优化方法,该方法利用带有经纬度信息的MDT数据,可以更加精准的指导覆盖的RF优化,进而达到提升网络性能的目的。

From the actual operation process of front-line optimizers,it is found that it is difficult to locate the weak coverage position,the optimization scheme varies from person to person,and the randomness is large.There is a phenomenon that multiple optimizations still fail to meet the requirements.At present,a research subject that needs to be solved urgently is the"three aspects"(standard meeting,intelligence and automation)of wireless network optimization.Based on this,this paper proposes an antenna feed optimization method based on MDT precise longitude and latitude big data.This method can use MDT data with latitude and longitude information to guide the RF optimization coverage more accurately,so as to achieve the purpose of improving network performance.