Performance model for factory automation 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.accessioned2022-11-28T08:35:20Z
dc.date.available2022-11-28T08:35:20Z
dc.date.issued2022en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümüen_US
dc.description.abstractThe fifth generation (5G) of mobile networks is emerging as a key enabler of modern factory automation (FA) applications that ensure timely and reliable data exchange between network components. Network slicing (NS), which shares an underlying infrastructure with different applications and ensures application isolation, is the key 5G technology to support the diverse quality of service requirements of modern FA applications. In this article, an end-to-end (E2E) NS solution is proposed for FA applications in a 5G network. Regression approaches are used to construct a performance model for each slice to map the service level agreement to the network attributes. Interference coordination approaches for switched beam systems are proposed to optimize radio access network (RAN) performance models. A case study of a non-public network is used to show the proposed NS solution. Simulation result shows that for services with different QoS requirements, different IC approaches should be used as optimization methods. Design prediction using regression approach has been evaluated and shows that the prediction successful rate increases when more existing data are used.en_US
dc.identifier.citationWang, J., Weitzen, J., Bayat, O., Sevindik, V., Li, M. (2022). Performance model for factory automation in 5G networks. Multimedia Tools and Applications.en_US
dc.identifier.scopus2-s2.0-85141563767
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://hdl.handle.net/20.500.12939/3030
dc.identifier.wosWOS:000880546100001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorBayat, Oğuz
dc.language.isoen
dc.relation.ispartofMultimedia Tools and Applications
dc.relation.isversionof10.1007/s11042-022-14119-wen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject5Gen_US
dc.subjectURLLCen_US
dc.subjectMassive MIMOen_US
dc.subjectJoint Transmissionen_US
dc.subjectInterference Coordinationen_US
dc.subjectNetwork Slicingen_US
dc.titlePerformance model for factory automation in 5G networks
dc.typeArticle

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