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1. 重庆邮电大学通信网与测试技术重点实验室,重庆 400065
2. 重庆重邮汇测通信技术有限公司,重庆 401121
[ "李雷(1989-),男,重庆邮电大学硕士生,主要研究方向为5G移动通信系统总体技术、通信网测试技术。" ]
[ "张治中(1972-),男,重庆邮电大学教授、博士生导师,主要研究方向为5G移动通信系统总体技术、通信网测试技术、宽带信息网络、NGN等。" ]
[ "席兵(1972-),男,重庆邮电大学副教授、硕士生导师,主要研究方向为宽带通信网测试技术。" ]
网络出版日期:2016-06,
纸质出版日期:2016-06-20
移动端阅览
李雷, 张治中, 席兵. LTE-Advanced网络Uu接口多协议关联方案的研究与实现[J]. 电信科学, 2016,32(6):167-176.
Lei LI, Zhizhong ZHANG, Bing XI. Research and implementation of multi-protocol association scheme on Uu interface in LTE-Advanced network[J]. Telecommunications science, 2016, 32(6): 167-176.
李雷, 张治中, 席兵. LTE-Advanced网络Uu接口多协议关联方案的研究与实现[J]. 电信科学, 2016,32(6):167-176. DOI: 10.11959/j.issn.1000-0801.2016177.
Lei LI, Zhizhong ZHANG, Bing XI. Research and implementation of multi-protocol association scheme on Uu interface in LTE-Advanced network[J]. Telecommunications science, 2016, 32(6): 167-176. DOI: 10.11959/j.issn.1000-0801.2016177.
针对LTE-Advanced 网络移动数据业务爆炸性增长、多协议关联分析处理效率低下等问题,在传统信令监测系统的基础上,提出了一种采用大数据技术(存储、处理和分析)和多协议关联分析技术的LTE-Advanced网络Uu接口多协议关联分析系统。首先,对Uu接口的L1、L2、L3数据业务流程进行高效处理和精准分析,然后进一步关联分析用户数据信令流程和用户业务数据流程。最后,将所提系统应用于LTE-Advanced网络Uu接口数据的现网测试中。测试结果表明:设计的多协议关联分析系统达到了预期的效果,对提升用户体验、高效进行大数据分析以及精准营销领域具有推广意义。
For the explosive growth of mobile data services in LTE-Advanced network and the low efficiency of multi-protocol association analysis process,on the basis of traditional signal monitoring system,a multi-protocol association analysis system of Uu interface in LTE-Advanced network was proposed by using big data technology (storage,processing and analysis)and multi-protocol association analysis technology.Firstly,Layer 1,Layer 2 and Layer 3 of Uu interface data business processes were processed efficiently and analyzed accurately.Then,the user data signaling process and service data flow were related to analyze.Finally,the proposed system was applied to the real network testing of Uu interface data in LTE-Advanced network.Test results show that the multi-protocol association analysis system described above achieves the expected effect and it is meaningful for improving user experiences,efficiently processing big data analytics and the promotion of precision marketing area.
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