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dc.contributor.authorNerini, Mateo
dc.contributor.authorPalma, David
dc.date.accessioned2022-04-22T11:23:18Z
dc.date.available2022-04-22T11:23:18Z
dc.date.created2022-02-09T09:45:53Z
dc.date.issued2021
dc.identifier.citationIFIP/IEEE International Symposium on Integrated Network Management (IM). 2021, 633-637.en_US
dc.identifier.issn1573-0077
dc.identifier.urihttps://hdl.handle.net/11250/2992256
dc.description.abstractFuture networks will pave the way for a myriad of applications with different requirements and Wi-Fi will play an important role in local area networks. This is why network slicing is proposed by 5G networks, allowing to offer multiple logical networks tailored to the different user requirements, over a common infrastructure. However, this is not supported by current Wi-Fi networks. In this paper, we propose a standard-compliant network slicing approach for the radio access segment of Wi-Fi by defining multiple Service Set Identifiers (SSIDs) per Access Point (AP). We present two algorithms, one that assigns resources according to the requirements of slices in a static way, and another that dynamically configures the slices according to the network’s conditions and relevant Key Performance Indicators (KPIs). The proposed algorithms were validated through extensive simulations, conducted in the ns-3 network simulator, and complemented by theoretical assessments. The obtained results reveal that the two proposed slicing approaches outperform today’s Wi-Fi access technique, reaching lower error probability for bandwidth intensive slices and lower latency for time-critical slices. Simultaneously, the proposed approach is up to 32 times more energy efficient, when considering slices tailored for lowpower and low-bandwidth devices, while increasing the overall spectrum efficiency.en_US
dc.language.isoengen_US
dc.publisherInternational Federation for Information Processingen_US
dc.title5G Network Slicing for Wi-Fi Networksen_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2021 IFIPen_US
dc.source.pagenumber633-637en_US
dc.source.journalIFIP/IEEE International Symposium on Integrated Network Management (IM)en_US
dc.identifier.cristin1999336
cristin.ispublishedtrue
cristin.fulltextpreprint


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