无线大数据分析用户QoE感知提升策略  

User QoE Awareness Improvement Strategy based on Wireless Big Data Analysis

作　　者：林尚静 田锦 成映华 金永双 LIN Shang-jing;TIAN Jin;CHENG Ying-hua;JIN Yong-shuang(School of Electronic Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China;School of Networks and Telecommunications Engineering,Jinling Institute of Technology,Nanjing Jiangsu 211169,China;Changzhou Haoyun Industrial Control Technology Co.,Ltd.,Changzhou Jiangsu 213164,China)

机构地区：[1]北京邮电大学电子工程学院,北京100876 [2]金陵科技学院网络与通信工程学院,江苏南京211169 [3]常州昊云工控科技有限公司,江苏常州213164

出　　处：《通信技术》2018年第10期2418-2422,共5页Communications Technology

基　　金：国家自然科学基金(No.61701034);中国博士后科学基金面上项目(No.2017M620696)~~

摘　　要：伴随着移动互联网、物联网、云计算等各类通信及处理技术的快速发展,移动数据流量爆炸式增长,无线通信网络进入大数据时代。无线大数据蕴藏着巨大的价值,分析运营商基于无线大数据进行"精细化"运营需求,提出了无线大数据的关键技术和实现架构,详细阐述了各个功能模块的实现方案和关键技术问题的解决方案。特别地,基于所设计的移动大数据平台,详细阐述了如何利用大数据分析和机器学习技术,对移动用户服务质量体验感知质差进行归因分析(无线网络弱覆盖还是核心网响应延时)。最后,总结了无线大数据对未来运营商的商业价值。With the rapid development of various communication and processing technologies such as mobile Internet, Internet of Things, and cloud computing, mobile data traffic exhibits explosive growth and wireless communication network enters the era of big data. Wireless big data contains great value. By analyzing the operators＇ requirements for ＂fine＂operation based on wireless big data, the key technology and implementation architecture of wireless big data is proposed. The implementation of each functional module and the solution of key technologies are elaborated. In particular, based on the designed mobile big data platform, how to use the big data analysis technology and machine learning technology to identify the possible reasons for low-perceived QoE （Quality of Experience） of mobile users （wireless network weak coverage or core network response delay） is expounded. Finally, the commercial value of wireless big data for future operators is summarized.

关 键 词：无线大数据 QOE 网络优化 无线运营商 

分 类 号：TN92[电子电信—通信与信息系统]