Performance model for video service in 5G networks

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dc.contributor.authorWang, Jiao
dc.contributor.authorWeitzen, Jay
dc.contributor.authorBayat, Oğuz
dc.contributor.authorSevindik, Volkan
dc.contributor.authorLi, Mingzhe
dc.date.accessioned2021-05-15T11:33:38Z
dc.date.available2021-05-15T11:33:38Z
dc.date.issued2020
dc.departmentMühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.descriptionwang, jiao/0000-0003-3658-8662
dc.description.abstractNetwork slicing allows operators to sell customized slices to various tenants at different prices. To provide better-performing and cost-efficient services, network slicing is looking to intelligent resource management approaches to be aligned to users' activities per slice. In this article, we propose a radio access network (RAN) slicing design methodology for quality of service (QoS) provisioning, for differentiated services in a 5G network. A performance model is constructed for each service using machine learning (ML)-based approaches, optimized using interference coordination approaches, and used to facilitate service level agreement (SLA) mapping to the radio resource. The optimal bandwidth allocation is dynamically adjusted based on instantaneous network load conditions. We investigate the application of machine learning in solving the radio resource slicing problem and demonstrate the advantage of machine learning through extensive simulations. A case study is presented to demonstrate the effectiveness of the proposed radio resource slicing approach.en_US
dc.identifier.doi10.3390/fi12060099
dc.identifier.issn1999-5903
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-85088102939
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/fi12060099
dc.identifier.urihttps://hdl.handle.net/20.500.12939/199
dc.identifier.volume12en_US
dc.identifier.wosWOS:000551238000014
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorBayat, Oğuz
dc.language.isoen
dc.publisherMdpien_US
dc.relation.ispartofFuture Internet
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectInterference Coordination (IC)en_US
dc.subjectNetwork Slicingen_US
dc.subject5Gen_US
dc.subjectQuality Of Service (QoS)en_US
dc.subjectMassive Multiple Input And Multiple Output (MIMO)en_US
dc.titlePerformance model for video service in 5G networks
dc.typeArticle

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