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dc.contributor.authorSaliba, Danielleen_US
dc.contributor.authorImad, Rodrigueen_US
dc.contributor.authorHoucke, Sebastienen_US
dc.description.abstractWireless Local Area Networks (WLANs) are a potential contributor in the future heterogeneous networks (Het-Nets) of 5G Mobile communication systems to ensure extended spectrum usage and higher data rates with better Quality of Service (QoS). Significant network capacity gain can be achieved not only through aggressive reuse of spectrum across the multiple tiers in the network, but also through harnessing an additional spectrum in un-licensed bands by integrating WiFi in the network [1]. Different criteria should be investigated in order to allow both the WiFi APs and the end user to operate on the best suitable channel, where the basic one of those criteria is the "load" of the operating channels. We propose in this paper a novel and accurate algorithm for the estimation of WiFi 802.11n physical channels load through the observation of the non-overlapped channels and estimating as a result the load of the entire physical channels. Once the channels load is estimated using the proposed algorithm, the channel assignment based on the minimal load value is facilitated, thus providing faster response of an AP channel selection and faster end user connection for better Quality of Experience (QoE).en_US
dc.format.extent20 p.en_US
dc.subjectWiFi Channel selectionen_US
dc.subject802.11n physical layeren_US
dc.subjectPower Spectral Densityen_US
dc.subjectHeterogeneous Networksen_US
dc.titleChannels load measurement in wifi networksen_US
dc.typeConference Paperen_US
dc.relation.conferenceInternational Scientific Conference (24th : 25-26 April 2018 : University of Balamand, Lebanon)en_US
dc.contributor.affiliationDepartment of Mechatronics Engineeringen_US
dc.relation.ispartoftextProceedings 24 th International Scientific Conference 'Sciences, Social Equity and Sustainable Development'en_US
dc.provenance.recordsourceOliben_US Fares Faculty of Technology-
Appears in Collections:Department of Mechatronics Engineering
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