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

Jian Wang; Zhizhong Zhang; Yunlong Luo

doi:10.3969/j.issn.1000-0801.2014.07.012

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

Research and development | 更新时间：2024-06-05

- Design and Implementation of DPI-Based User's Bebavior Perception System in LTE Network
- Telecommunications Science Vol. 30, Issue 7, Pages: 77-83(2014)
- 作者机构：
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- DOI：10.3969/j.issn.1000-0801.2014.07.012
  CLC：
- Published Online：2014-07，
  
  Published：20 July 2014
- 稿件说明：
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Jian Wang, Zhizhong Zhang, Yunlong Luo. Design and Implementation of DPI-Based User's Bebavior Perception System in LTE Network[J]. Telecommunications science, 2014, 30(7): 77-83.
DOI：

Jian Wang, Zhizhong Zhang, Yunlong Luo. Design and Implementation of DPI-Based User's Bebavior Perception System in LTE Network[J]. Telecommunications science, 2014, 30(7): 77-83. DOI： 10.3969/j.issn.1000-0801.2014.07.012.

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。

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.

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references

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