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基于大数据分析提升4G网络驻留比研究 被引量:4

Research on Improving 4G Flow Resident Ratio Based on User Behavior and Network Data Correlation Analysis
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摘要 主要围绕如何让用户尽量驻留4G网络,并基于B域的用户和O域的网络大数据协同分析,从网络、终端、用户几个角度,研究影响移动用户驻留4G网络几大原因,并给出优化措施和优化案例,从而提升4G用户在4G网络的驻留和业务时长,全面提升4G用户感知。摸索了一套4G驻留比提升的思路和方法,并通过实践验证了方法的有效性和可行性,对于提升4G驻留比有一定的指导意义和参考价值。 It mainly studied how to use more traffic and reside longer on the 4G network. Based on user and network big data correlation analysis,studied the factors affecting 4G flow resident ratio from the aspects of network,terminal and user behavior,etc. It gives optimization measures and optimization case,so as to enhance 4G users residence time to improve 4G flow resident ratio. It have developed the ideas and methods about improving 4G flow resident ratio,and verified the feasibility and effectiveness of this method through practice. This method has the certain instruction meaning and reference value to improve the 4G flow resident ratio.
作者 李菲
出处 《邮电设计技术》 2017年第2期5-9,共5页 Designing Techniques of Posts and Telecommunications
关键词 网格 大数据 4G 网络驻留比例 Network grid Big data 4G Resident ratio
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