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LTE网络中业务识别方案的研究与实现*1
引用本文:刘志强,张治中.LTE网络中业务识别方案的研究与实现*1[J].电视技术,2015,39(1).
作者姓名:刘志强  张治中
作者单位:重庆邮电大学通信网与测试技术重点实验室,重庆,400065
摘    要:为了实现对长期演进(Long Term Evolution,LTE)网络的业务识别,分析了S1接口用户面协议栈,利用模块化设计思想实现了对S1接口流量的业务识别.针对传统业务识别系统识别度低、统计能力不强的缺陷,在传统的业务识别系统基础上,提出了一个多识别的业务识别方案,实现了对业务类型的精确识别.经过现网数据测试验证,所设计的多识别的业务识别方案达到了预期的效果,在LTE移动通信网络业务识别领域具有推广意义.

关 键 词:LTE网络  S1接口  流量识别  DPI  机器学习
收稿时间:5/8/2014 12:00:00 AM
修稿时间:2014/6/17 0:00:00

Research and Implementation of Traffic identification Program in LTE Network
LIU Zhiqiang and ZHANG Zhizhong.Research and Implementation of Traffic identification Program in LTE Network[J].Tv Engineering,2015,39(1).
Authors:LIU Zhiqiang and ZHANG Zhizhong
Affiliation:Key Laboratory on Communication Networks and Testing Technology,Chongqing University of Posts and Telecommunication,Key Laboratory on Communication Networks and Testing Technology,Chongqing University of Posts and Telecommunication
Abstract:In order to achieve the traffic identification in Long Term Evolution (LTE) network, the user plane protocol stack of S1 interface is analyzed and the traffic identification of the user plane of S1 interface with the idea of modularization design concept is achieved. To solve the problem of weak identification of data services and poor statistical ability in traditional traffic identification system, multiple identification integrated service identification scheme was constructed, which was more accurate in traffic identification than traditional system. The traffic identification based on multiple identification integrated service identification scheme works effectively by the real network data testing and has important significance for traffic identification in LTE network.
Keywords:LTE network  S1 interface  Traffic Identification  Deep Packet Inspection  Machine Learning
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