电信科学 ›› 2014, Vol. 30 ›› Issue (7): 77-83.doi: 10.3969/j.issn.1000-0801.2014.07.012

• 研究与开发 • 上一篇    下一篇

基于DPI的LTE网络用户行为感知系统的设计与实现

王建,张治中,骆云龙   

  1. 重庆邮电大学通信网与测试技术重点实验室 重庆 400065
  • 出版日期:2014-07-20 发布日期:2017-08-17
  • 基金资助:
    国家高技术研究发展计划（“863”计划）基金资助项目;2013年重庆高校创新团队基金资助项目

Design and Implementation of DPI-Based User's Bebavior Perception System in LTE Network

Jian Wang,Zhizhong Zhang,Yunlong Luo   

  1. Key Laboratory on Communication Network and Testing Technology, Chongqing University of Post and Telecommunications, Chongqing 400065, China
  • Online:2014-07-20 Published:2017-08-17

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摘要：

摘要：针对电信运营商越发迫切的智能管道需求，提出了一种具有自学习功能的移动互联网用户行为感知系统的解决方案。本方案针对传统监测系统用户感知度低、统计能力不足等缺点，对现行LTE网络S1接口用户面协议进行分析，并结合当前互联网主流的行为分析技术——深度分组检测（DPI）技术和聚类爬虫技术的优势，实现了以协议解码、业务呼叫/事务详细记录（xDR）合成为基础的LTE网络用户行为精准分析。本系统经现网数据验证，能达到既定目标，对满足智能管道的需求具有一定的指导价值。

关键词: LTE网络, S1接口, 深度分组检测, 聚类爬虫, 用户行为感知

Abstract:

Based on telecom operators increasingly urgent demand for intelligent pipeline, a kind of implementing scheme of user behavior perception system with self-learning function was proposed, which analyzed the protocols of user plane on S1 interface in long term evolution（LTE）network. Aiming at the traditional monitoring system with poor user perception and insufficient statistical capacity, the proposed system achieved user's behavior refined analysis which combined protocol decoding and services call/transaction detail records（xDR）synthesis method with the advantages of current prevailing internet behavior analysis technologies—deep packet inspection（DPI）technique and focused crawler technology. With the verification of existing network data, this system not only achieves the goal, but also has the guiding value of meeting the demand for intelligent pipeline.

Key words: LTE network, S1 interface, deep packet inspection, focused crawler, user's behavior perception

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