Market-Driven Stochastic Resource Allocation Framework for Wireless Network Virtualization

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dc.contributor.authorGomez, Marcela M.en
dc.contributor.authorChatterjee, Shubhajeeten
dc.contributor.authorAbdel-Rahman, Mohammad J.en
dc.contributor.authorMacKenzie, Allen B.en
dc.contributor.authorWeiss, Martin B. H.en
dc.contributor.authorDaSilva, Luiz A.en
dc.date.accessioned2022-01-04T20:30:25Zen
dc.date.available2022-01-04T20:30:25Zen
dc.date.issued2020-03-01en
dc.date.updated2022-01-04T20:30:23Zen
dc.description.abstractWireless network virtualization is emerging as a potential game-changer for fifth-generation wireless networks. Virtualization of network resources (e.g., infrastructure and spectrum) brings several advantages. One key advantage is that various network operators can robustly share their virtualized network resources to extend coverage, increase capacity, and reduce costs. However, inherent features of wireless communications, e.g., the uncertainty in user equipment locations and channel conditions, impose significant challenges on virtualization and sharing of the network resources. In this context, we propose a novel three-layered virtualization framework, based on a matching game model and stochastic resource allocation. Our proposed architecture aims at guaranteeing user satisfaction and maximizing the revenue for operators, with reasonable computational complexity, and affordable network overhead.en
dc.description.versionAccepted versionen
dc.format.extentPages 489-499en
dc.format.extent11 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1109/JSYST.2019.2927443en
dc.identifier.eissn1937-9234en
dc.identifier.issn1932-8184en
dc.identifier.issue1en
dc.identifier.urihttp://hdl.handle.net/10919/107380en
dc.identifier.volume14en
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000526061100046&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectTechnologyen
dc.subjectComputer Science, Information Systemsen
dc.subjectEngineering, Electrical & Electronicen
dc.subjectOperations Research & Management Scienceen
dc.subjectTelecommunicationsen
dc.subjectComputer Scienceen
dc.subjectEngineeringen
dc.subjectDynamic slicingen
dc.subjectmatching marketsen
dc.subjectPoisson point process (PPP)en
dc.subjectstochastic resource allocationen
dc.subjectwireless network virtualizationen
dc.subject0906 Electrical and Electronic Engineeringen
dc.subjectOperations Researchen
dc.titleMarket-Driven Stochastic Resource Allocation Framework for Wireless Network Virtualizationen
dc.title.serialIEEE Systems Journalen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dc.type.otherJournalen
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/University Research Institutesen
pubs.organisational-group/Virginia Tech/All T&R Facultyen

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