LTE-Advanced网络Uu接口用户行为分析系统的研究与实现

Research and implementation of user behavior analysis system on Uu interface in LTE-Advanced network

大数据时代,面对海量且复杂的结构化、半结构化和非结构化数据,传统的信令监测分析系统无法快速准确地分类、处理以及存储海量数据中包含的信息。针对这些问题,提出了一种基于Hadoop系统技术平台和支持向量机(Support Vector Machine,SVM)分类算法的LTE-Advanced网络Uu接口用户行为分析系统。对用户行为分析系统的系统架构、在Hadoop平台下数据挖掘分类算法SVM的实现进行了详细阐述,并通过Uu接口进行了现网测试,测试结果表明,提出的用户行为分析系统达到了预期的效果,对用户偏好分析以及精准营销具有推广意义。

In the age of Big Data,faced with massive and complex structured,semi-structured and unstructured data,traditional signaling monitoring system has been unable to quickly and accurately classify,handle and store information contained massive data.To resolve these problems,a user behavior analysis system on Uu interface in LTE-Advanced network based Hadoop technology platform and Support Vector Machine classification algorithm is proposed.And then,system architecture of user behavior analysis system and implement of SVM classification algorithm on Hadoop platform are illustrated.Meanwhile,through testing present network environment on Uu interface.The testing results prove the system produces the desired effect and has crucial promotion significance of user preferences analysis and precision marketing.