DI5GUISE: a highly dynamic framework for real-time simulated 5G evaluation

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Quinlan, Jason J.
Ramakrishnan, K. K.
Sreenan, Cormac J.
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Institute of Electrical and Electronics Engineers (IEEE)
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As the next generation of cellular networks (5G) nears deployment, autonomous smart nodes, such as Internet of Things (IoT) and vehicular devices, are already being developed to utilise the increased throughput and improved resiliency of 5G. Evaluating the real-time scheduling and impact of these new devices and their underlying network protocols within the airinterface of 5G is no small feat. This is typically due to high 5G air-interface hardware costs and unrealistic real-time delivery rates. 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 nodes can be investigated. We utilise realtime video delivery as an example of high throughput demand applications. The experimental results illustrate that even on low cost commodity hardware, such as Raspberry Pis, over 80Mbps per client in real-time streaming of 4K content can achieve.
5G , Real-time scheduling , Air-interface , Testbed framework
Quinlan, J. J., Ramakrishnan, K. K. and Sreenan, C. J. (2019) 'DI5GUISE: a highly dynamic framework for real-time simulated 5G evaluation', IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN), Paris, France, 1-3 July.
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