SWN: An SDN based framework for carrier grade Wi-Fi networks
SWN: An SDN based framework for carrier grade Wi-Fi networks
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DOI：
10.1109/cc.2016.7445499
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发表时间：
2016-04
影响因子：
4.1
通讯作者：
Lei Tao;Wen Xiangming;Lu Zhaoming;Zhao Xing;Lin Yangchun;Zhang Biao
中科院分区：
文献类型：
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作者：
Lei Tao;Wen Xiangming;Lu Zhaoming;Zhao Xing;Lin Yangchun;Zhang Biao
随着移动的数据业务的快速增长和从蜂窝网络卸载的大量业务，Wi-Fi已被认为是科普移动的数据业务的巨大增长的必要组件。尽管运营商已经部署了大量运营商级Wi-Fi网络，但目前Wi-Fi网络仍存在大量不足，例如支持AP之间的无缝切换、自动网络接入和统一认证等。本文提出了一种基于SDN的运营商级Wi-Fi网络框架，即SWN。SWN的关键概念贡献是将Wi-Fi网络原则性地重构为控制和数据平面。控制平面具有整个网络的集中全局视图，可以通过网络态势感知（NAS）技术感知底层网络状态，并将感知到的信息和网络管理操作捆绑到北向应用编程接口（API）中以供上层应用。在数据平面，我们构建了软件接入点（SAP）来抽象用户设备（UE）和接入点（AP）之间的连接。网络运营商可以利用这些API和SAP抽象来设计网络应用程序，以配置和管理整个网络，这使得运营商级Wi-Fi网络更加灵活，用户友好和可扩展。
With the rapid growth of mobile data traffic and vast traffic offloaded from cellular network, Wi-Fi has been considered as an essential component to cope with the tremendous growth of mobile data traffic. Although operators have deployed a lot of carrier grade Wi-Fi networks, but there are still a multitude of arrears for nowadays Wi-Fi networks, such as supporting seamless handover between APs, automatic network access and unified authentication, etc. In this paper, we propose an SDN based carrier grade Wi-Fi network framework, namely SWN. The key conceptual contribution of SWN is a principled refactoring of Wi-Fi networks into control and data planes. The control plane has a centralized global view of the whole network, can perceive the underlying network state by network situation awareness (NAS) technique, and bundles the perceived information and network management operations into northbound Application Programming Interface (API) for upper applications. In the data plane, we construct software access point (SAP) to abstract the connection between user equipment (UE) and access point (AP). Network operators can design network applications by utilizing these APIs and the SAP abstraction to configure and manage the whole network, which makes carrier grade Wi-Fi networks more flexible, user-friendly, and scalable.