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

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dc.contributor.author Quinlan, Jason J.
dc.contributor.author Ramakrishnan, K. K.
dc.contributor.author Sreenan, Cormac J.
dc.date.accessioned 2019-07-17T10:45:30Z
dc.date.available 2019-07-17T10:45:30Z
dc.date.issued 2019-07
dc.identifier.citation 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. en
dc.identifier.uri http://hdl.handle.net/10468/8185
dc.description.abstract 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. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) en
dc.relation.ispartof IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)
dc.rights © 2019, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. en
dc.subject 5G en
dc.subject Real-time scheduling en
dc.subject Air-interface en
dc.subject Testbed framework en
dc.title DI5GUISE: a highly dynamic framework for real-time simulated 5G evaluation en
dc.type Conference item en
dc.internal.authorcontactother Jason Quinlan, Computer Science, University College Cork, Cork, Ireland. +353-21-490-3000 Email: j.quinlan@cs.ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2019-07-17T10:30:05Z
dc.description.version Accepted Version en
dc.internal.rssid 487882177
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.internal.copyrightchecked Yes
dc.internal.licenseacceptance Yes en
dc.internal.conferencelocation Paris, France en
dc.internal.IRISemailaddress j.quinlan@cs.ucc.ie en
dc.internal.IRISemailaddress c.sreenan@cs.ucc.ie en
dc.internal.bibliocheck In press. Add page range, doi, url, publication date, issn/isbn. Amend citation as necessary. en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Investigator Programme/13/IA/1892/IE/An Internet Infrastructure for Video Streaming Optimisation (iVID)/ en

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