基于大数据的4G网络弱覆盖智能测评方案研究  

Research on 4G Network Intelligent Evaluation Solutions for Weak Coverage Based on Big Data

作　　者：许盛宏[1] 宫云平[1] 姚彦强[2] XU Shenghong;GONG Yunping;YAO Yanqiang(Strategy and Innovation Institute of China Telecommunications Corporation Limited,Guangzhou 510630,China;Guangdong Branch of China Telecommunications Corporation Limited,Guangzhou 510081,China)

机构地区：[1]中国电信股份有限公司战略与创新研究院,广东广州510630 [2]中国电信股份有限公司广东分公司,广东广州510081

出　　处：《移动通信》2019年第8期92-96,共5页Mobile Communications

摘　　要：为了解决弱覆盖区域测评的工作量大且效率低、分析问题片面且准确性不高等问题,通过聚类、轮廓识别等算法对4G网络数据进行分析,研究了4G网络弱覆盖智能测评方案,分析了海量MR的栅格聚合、弱栅格连片的自动识别、区域轮廓的自动勾画、测评指标的智能关联,实验证实了弱覆盖测评的高度准确性及网络优化效率的大幅提升。In order to solve the problems of the evaluation of weak coverage area such as heavy workload,ineffi ciency,onesided analysis and low accuracy,the solution for intelligent evaluation of poor coverage area is investigated based on the data analysis of 4G networks through the algorithms such as clustering and contour recognition.Then this paper analyzes the grid aggregation based on massive MR,automatic recognition of weak grid contiguous areas,automatic contour mapping of weak coverage area,and intelligent relation of evaluation metrics.The experiments demonstrate the high accuracy of weak coverage assessment and the substantial improvement of network optimization effi ciency.

关 键 词：4G 大数据 弱覆盖 智能测评 

分 类 号：TN915.81[电子电信—通信与信息系统]