基于大数据的高铁通信网络质量分析及优化  

Quality analysis and optimization of high-speed railway communication network based on big data

作　　者：刘莺[1,2] 胡剑炜 LIUYing;HUJian-wei(School of Science,Hunan Agricultural University,Changsha 410128,China;Key Laboratory of Intelligent Computing ＆ Information Processing of the Ministry of Education,School of Mathematics and Computational Science,Xiangtan University,Xiangtan 411105,Hunan Province,China;Hunan Co.,Ltd.,China Mobile,Changsha 410015,China)

机构地区：[1]湖南农业大学理学院信科系,长沙410128 [2]湘潭大学数学与计算科学学院智能计算与信息处理教育部重点实验室,湖南湘潭411105 [3]中国移动通信集团湖南有限公司,长沙410015

出　　处：《信息技术》2018年第6期17-21,共5页Information Technology

基　　金：湖南省教育厅资助科研项目(16C0765);湖南省研究生科研创新项目(CX2017B266)

摘　　要：通过大数据的采集及分析将用户、小区、路线、方向、时间、场景六维度汇聚成一整体,基于高铁用户身份识别、用户定位、乘车方向识别等,实现高铁用户脱网/公网用户入侵高风险区域的判断,对异常事件进行定位分析,并构造基于多维度算法的高铁专网质量评估体系,实现全方面的精准监控与质量分析,以提升高铁用户业务感知。Through big data collection and analysis,the user,area,route,direction,time,scene are together into a whole body. Based on the high-speed railway user identification,user location,driving direction identification,etc.,it can judge the high risk area that the high-speed railway users separate from and the public network users invade. Locate the abnormal events,and construct the quality evaluation system of high-speed railway based on multi-dimensional algorithm. Then it achieves precision monitor and quality analysis of network. And it improves the service aware of the high-speed railway user.

关 键 词：高铁通信网络 大数据分析 网络优化 

分 类 号：TN929.5[电子电信—通信与信息系统]