大数据驱动的无线网络资源管理及控制

Resource Management and Control of Big Data-Driven Wireless Network

认为将大数据技术融入到无线网络资源管理中,有利于统筹分析大范围、多应用之间以及应用内部的无线资源需求,使无线网络资源管理变得更加灵活、便捷、高效。提出大数据驱动的无线网络资源管理及控制框架:首先利用移动群智感知(MCS)技术方法进行无线网络全域范围内资源信息的收集;其次利用数据虚拟化方法技术,构建全网的无线资源统一视图并提供不同粒度及角度的数据服务;最后利用软件定义网络(SDN)思想方式,研究面向应用全生命周期的无线资源管理控制机制,实现对应用的个性化资源管理与控制。

It is believed that the integration of big data technology into wireless network resource management will facilitate the co-ordination analysis of wireless resource requirements in a wide range of multiple applications and the internal of applications, making wireless network resource management more flexible,convenient and efficient. In this paper, a big data-driven wireless network resource management and control framework is proposed. First, mobile crowd sensing（MCS）technology is used to collect the whole-scale wireless network resource information.Second, data virtualization（DV） is used to build a unified wireless resource view, and to provide data services with different granularities and angles. Finally, in order to realize the personalized resource management and control of applications, the software defined network（SDN） method is used in the radio resource management control mechanism oriented to the whole application life cycle.