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作 者:王晓刚[1] 郭严伟 柴景申 王波[2] 赵娜 贾海蓉[4] Wang Xiaogang;Guo Yanwei;Chai Jingshen;Wang Bo;Zhao Na;Jia Hairong(China Unicom Shanxi Branch,Taiyuan 030006,China;China United Network Communications Group Co.,Ltd.,Beijing 100033,China;Jingxin Communication Technology(Guangzhou)Co.,Ltd.,Guangzhou 510663,China;Taiyuan University of Technology,Taiyuan 030002,China)
机构地区:[1]中国联通山西分公司,山西太原030006 [2]中国联合网络通信集团有限公司,北京100033 [3]京信通信技术(广州)有限公司,广东广州510663 [4]太原理工大学,山西太原030002
出 处:《邮电设计技术》2024年第5期8-13,共6页Designing Techniques of Posts and Telecommunications
摘 要:随着4G/5G网络的深入应用,高铁移动网络的用网体验成为人们持续关注的焦点。对高铁场景下意图驱动的网络智能运营进行了研究。充分利用大数据和AI技术等新质生产力技术,采用高铁车体移动指纹分析、切换序列判定等算法精准识别高铁用户,采用时序覆盖特征分析、频繁项挖掘算法等技术准确识别高铁路网覆盖情况,并以此为基础构建出高铁质差用户和小区的“评估-定位-闭环处理-效果验证”端到端闭环处理流程。With the deepening application of 4G/5Gnetworks,the user experience of high-speed rail mobile networks has become a continuous focus of attention.It studies intention driven network intelligent operation in high-speed rail scenarios,which fully utilizes new productivity technologies such as big data and AI,and uses algorithms such as high-speed rail vehicle movement fingerprint analysis and switching sequence judgment to accurately identify high-speed rail users.It also uses technologies such as time-series coverage feature analysis and frequent item mining to accurately identify the coverage of high-speed rail networks.Based on this,it constructs an end-to-end closed-loop processing process of"evaluation-positioning-closed loop processing-effect verification"for low-quality high-speed rail users and communities.
分 类 号:TN929.5[电子电信—通信与信息系统]
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