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

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dc.contributor.authorQuinlan, Jason J.
dc.contributor.authorRamakrishnan, K. K.
dc.contributor.authorSreenan, Cormac J.
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2019-07-17T10:45:30Z
dc.date.available2019-07-17T10:45:30Z
dc.date.issued2019-07
dc.date.updated2019-07-17T10:30:05Z
dc.description.abstractAs 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.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationQuinlan, 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.urihttps://hdl.handle.net/10468/8185
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartofIEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Investigator Programme/13/IA/1892/IE/An Internet Infrastructure for Video Streaming Optimisation (iVID)/en
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.subject5Gen
dc.subjectReal-time schedulingen
dc.subjectAir-interfaceen
dc.subjectTestbed frameworken
dc.titleDI5GUISE: a highly dynamic framework for real-time simulated 5G evaluationen
dc.typeConference itemen
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