基于异频MR精准识别中低频覆盖差异区域  

Accurate Identification of Low Frequency Coverage Difference Areas Based on Inter Frequency MR

作　　者：田超 戴廷 TIAN Chao;DAI Ting(China Unicom Anhui Branch Network Department,Hefei 230031,China)

机构地区：[1]中国联通安徽省分公司网络部,安徽合肥230031

出　　处：《数字通信世界》2024年第12期58-60,64,共4页Digital Communication World

摘　　要：现网L900M升级至NR900M后,L900M关闭,仅依靠现网L1800M覆盖,一部分区域的LTE网络覆盖范围收缩,如何精准高效地识别L900M升级后的弱覆盖区域,以及最低成本实现LTE中频网覆盖托底是本文重点研究的方向。目前电联中频一张网已全面铺开,基于DBSCAN密度聚类算法进行弱覆盖栅格汇聚,精准识别出需要中频托底的覆盖盲区。目前已在省会完成试点和现场测试验证,并在省内其他地市完成价值推广。After upgrading from L900M to NR900M,L900M is shut down and only relies on the coverage of L1800M in the current network.The LTE coverage in some areas shrinks.How to accurately and efficiently identify weak coverage areas after upgrading from L900M and achieve LTE intermediate frequency network coverage support at the lowest cost is the focus of this article.At present,the intermediate frequency network of the electric union has been fully deployed.The weak coverage grid aggregation is carried out based on DBSCAN density clustering algorithm to accurately identify the coverage blind spots that need intermediate frequency support.At present,pilot and on-site testing verification have been completed in the provincial capital,and value promotion has been completed in other cities within the province.

关 键 词：L900M 异频MR 弱覆盖 DBSCAN算法 用户体验 

分 类 号：TN929.5[电子电信—通信与信息系统]