DI5GUISE:用于实时模拟5G评估的高动态框架

Jason J. Quinlan, K. Ramakrishnan, C. Sreenan
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引用次数: 2

摘要

随着下一代蜂窝网络(5G)即将部署,物联网(IoT)和车载设备等自主智能节点正在开发中,以利用5G新链路层协议提供的更高吞吐量和更好的弹性。评估实时5G空中接口调度算法对这些设备及其新应用的严格实时交付需求的影响是一项不小的壮举。在这篇短文中,我们扩展了NS-3的毫米波(5G)模块,并提出了DI5GUISE,这是一个可配置的、高度动态的实时模拟试验台框架,通过它可以研究这些智能节点的影响。我们利用实时视频传输作为高吞吐量要求应用的一个例子。实验结果表明,即使在低成本的商用硬件(如Raspberry Pis)上,每个客户端的实时4K内容流也可以达到80Mbps以上。
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DI5GUISE: A highly Dynamic Framework for Real-Time Simulated 5G Evaluation
As the next generation of cellular networks (5G) nears deployment, autonomous smart nodes, such as Internet of Things (IoT) and vehicular devices, are being developed to take advantage of increased throughput and improved resiliency offered by the new link layer protocols of 5G. Evaluating the impact of real-time 5G air-interface scheduling algorithms on the stringent real-time delivery needs of these devices and their new applications is no small feat. In this short paper, we expand upon the mmwave (5G) module for NS-3 and present DI5GUISE, a configurable and highly dynamic real-time simulated testbed framework, through which the impact of these smart nodes can be investigated. We utilise real-time video delivery as an example of applications with high throughput requirements. The experimental results illustrate that even on low cost commodity hardware, such as Raspberry Pis, over 80Mbps per client of real-time streaming of 4K content can be achieved.
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