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Cooperative Base Station Caching and X2 Link Traffic Offloading System for Video Streaming Over SDN-Enabled 5G Networks

机译:启用S​​DN的5G网络上用于视频流的协作基站缓存和X2链路流量卸载系统

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This paper presents a cooperative base station caching and X2 link traffic offloading system for video streaming services over software-defined networking (SDN)-enabled 5G networks. The goal of the proposed system is to provide seamless video streaming services to users while alleviating the backhaul traffic in the cellular network by effectively caching contents at the base stations and appropriately offloading parts of the backhaul traffic to X2 links. In the proposed system, the main functionalities of content-centric networking (CCN) are deployed at the base stations to take advantage of the attributes offered by CCN such as in-network caching and name-based forwarding. Furthermore, SDN technology is adopted not only to solve the practical issues of CCN, but also to control network resources efficiently. The proposed system is designed to determine near optimal caching positions and routes for all content in two phases to reduce the computational complexity for the real-time processing. The proposed system is fully implemented using well-known open sources, e.g., CCNx and ONOS, and C/C++. Finally, the system is examined in real wireless network environments. During the experiment, the proposed system can reduce cellular traffic by more than 13 percent over existing traffic offloading algorithms.
机译:本文提出了一种协作式基站缓存和X2链路流量卸载系统,用于支持软件定义网络(SDN)的5G网络上的视频流服务。提出的系统的目标是通过在基站处有效地缓存内容并将适当的部分回程流量卸载到X2链路,从而为用户提供无缝的视频流服务,同时减轻蜂窝网络中的回程流量。在提出的系统中,以内容为中心的联网(CCN)的主要功能部署在基站上,以利用CCN提供的属性,例如网络内缓存和基于名称的转发。此外,采用SDN技术不仅可以解决CCN的实际问题,而且可以有效地控制网络资源。拟议中的系统旨在为两个阶段的所有内容确定接近最佳的缓存位置和路由,以减少实时处理的计算复杂性。所提出的系统是使用CCNx和ONOS以及C / C ++等众所周知的开放源代码完全实现的。最后,在真实的无线网络环境中检查系统。在实验过程中,与现有的流量卸载算法相比,该系统可将蜂窝流量减少13%以上。

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