SDN based next generation Mobile Network with Service Slicing and trials
SDN based next generation Mobile Network with Service Slicing and trials
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DOI：
10.1109/cc.2014.6821738
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发表时间：
2014-05
影响因子：
4.1
通讯作者：
Xiaodong Xu;Huixin Zhang;Dai Xun;Yanzhao Hou;Xiaofeng Tao;Zhang Ping
中科院分区：
文献类型：
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作者：
Xiaodong Xu;Huixin Zhang;Dai Xun;Yanzhao Hou;Xiaofeng Tao;Zhang Ping
软件定义网络（SDN）通过OpenFlow、网络虚拟化和服务切片策略为互联网的发展提供了动力。随着人们对移动的Internet业务需求的快速增长，Internet和移动的网络走向融合。移动的网络也可以从SDN演进中受益，以满足第五代（5G）容量的蓬勃发展。本文提出了面向移动的OpenFlow协议（MOFP），将SDN应用于面向5G移动的网络演进的无帧网络架构（FNA）。提出了控制平面/用户平面（CP/UP）分离和自适应策略，以支持FNA中以用户为中心的场景。传统的基站通过中央处理实体（CPE）和天线单元（AE）分离来执行OpenFlow和网络虚拟化。AE作为新资源发布，为用户服务。针对移动的网络中资源受限的业务切片策略，提出了面向移动的不同QoS等级的业务切片策略，并对基于资源池的虚拟无线资源管理（VRRM）进行了优化。提供的容量增益显示基于SDN的FNA的优点。最后给出了基于MiniNet的服务切片实验网络的实现和实验结果。
Software-Defined Network (SDN) empowers the evolution of Internet with the OpenFlow, Network Virtualization and Service Slicing strategies. With the fast increasing requirements of Mobile Internet services, the Internet and Mobile Networks go to the convergence. Mobile Networks can also get benefits from the SDN evolution to fulfill the 5th Generation (5G) capacity booming. The article implements SDN into Frameless Network Architecture (FNA) for 5G Mobile Network evolution with proposed Mobile-oriented OpenFlow Protocol (MOFP). The Control Plane/User Plane (CP/UP) separation and adaptation strategy is proposed to support the User-Centric scenario in FNA. The traditional Base Station is separated with Central Processing Entity (CPE) and Antenna Element (AE) to perform the OpenFlow and Network Virtualization. The AEs are released as new resources for serving users. The mobile-oriented Service Slicing with different Quality of Service (QoS) classification is proposed and Resource Pooling based Virtualized Radio Resource Management (VRRM) is optimized for the Service Slicing strategy with resource-limited feature in Mobile Networks. The capacity gains are provided to show the merits of SDN based FNA. And the MiniNet based Trial Network with Service Slicing is implemented with experimental results.