基于MR的小区轮廓和共覆盖识别方法研究与应用  

Research and Application of Cell Contour and Co-coverage Recognition Based on MR

作　　者：韩斌杰 Han Binjie(Hebei Branch of China Mobile Communications Co.,Ltd.,Shijiazhuang 050000,China)

机构地区：[1]中国移动通信集团河北有限公司,石家庄050000

出　　处：《信息通信技术》2022年第2期79-84,共6页Information and communications Technologies

摘　　要：随着移动网络规模的越来越大,无线网络优化的难度也与之俱增,借助大数据技术实现快速、精准的网络分析和优化已经成为运营商的普遍共识。终端上报的MR数据作为用户使用网络的真实反映,对于支撑网络问题分析和处理具有重要作用。文章采用一种基于特征匹配的MR定位算法实现MR数据的精准定位,并进一步实现小区级轮廓识别和共覆盖判断,将MR栅格级数据转换为小区级数据,不仅可以为网络问题分析提供基础信息,而且为客服投诉区域识别提供有效支撑。With the increasing scale of mobile networks,wireless network optimization becomes more difficult.Big data technologies are widely accepted by operators to implement fast and accurate network analysis and optimization.The MR data reported by UEs is a real reflection of network usage and plays an important role in analyzing and handling network problems.In this paper,a MR location algorithm based on feature matching is used to accurately locate MR data,and further implement cell-level contour identification and co-coverage determination.The MR grid-level data is converted into cell-level data,which provides basic information for network problem analysis.In addition,it provides effective support for customer service complaint area identification.

关 键 词：特征匹配 MR定位 小区轮廓 共覆盖 

分 类 号：TN929.5[电子电信—通信与信息系统]