电信科学 ›› 2021, Vol. 37 ›› Issue (11): 135-142.doi: 10.11959/j.issn.1000-0801.2021214

• 工程与应用 • 上一篇    下一篇

基于XDR大数据分析的高架用户识别技术

汪保友, 姚赛彬, 黄久成, 潘晖   

  1. 中国联合网络通信有限公司上海分公司,上海200080
  • 修回日期:2021-10-21 出版日期:2021-11-20 发布日期:2021-11-01
  • 作者简介:汪保友(1968− ),男,博士,中国联合网络通信有限公司上海分公司高级工程师,主要研究方向为商业智能与大数据分析、无线网优化、网络与数据安全
    姚赛彬(1982− ),男,中国联合网络通信有限公司上海分公司无线网优化中心总经理、高级工程师,主要研究方向为无线网优化、通信网络规划、智能网络
    黄久成(1987− ),男,中国联合网络通信有限公司上海分公司无线网优化中心专项优化室经理、工程师,主要研究方向为无线网优化、通信网络规划
    潘晖(1992− ),男,中国联合网络通信有限公司上海市分公司工程师,主要研究方向为无线网优化、5G技术

Identification technology for city freeway users based on XDR big data analysis

Baoyou WANG, Saibin YAO, Jiucheng HUANG, Hui PAN   

  1. Shanghai Branch of China United Network Communications Co., Ltd., Shanghai 200080, China
  • Revised:2021-10-21 Online:2021-11-20 Published:2021-11-01

摘要:

城市高架路场景下,用户行驶速度相对较快、人流密集,客户对通信体验要求更高。首先,介绍了网络质量管控大数据平台体系架构;其次,设计了基于XDR大数据分析的高架用户识别的算法;最后,通过XDR大数据分析处理,与高架路段指纹库匹配,输出高架用户运动轨迹,提升了高架用户识别准确性,为高架路无线网络质量监控提供辅助支撑。

关键词: 网络优化, XDR, 城市高架识别

Abstract:

In the scene of city freeway, the driving speed is relatively faster, the flow of people is denser, and the customers have higher requirements for communication experience.Firstly, the architecture of big data platform for mobile network quality control was introduced.Then, the identification algorithm for city freeway users based on XDR big data analysis was proposed.Finally, through XDR big data analyzing and processing, the user track on freeway was output, which followed by matching with the fingerprints database of freeways.The identification accuracy for city freeway users was improved, and wireless network quality monitoring of city freeways was supported.

Key words: network optimization, XDR, identification of city freeway

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