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Title: Channels load measurement in wifi networks
Authors: Saliba, Danielle
Imad, Rodrigue 
Houcke, Sebastien
Affiliations: Department of Mechatronics Engineering 
Keywords: WiFi Channel selection
802.11n physical layer
Power Spectral Density
Heterogeneous Networks
Issue Date: 2018
Part of: Proceedings 24 th International Scientific Conference 'Sciences, Social Equity and Sustainable Development'
Conference: International Scientific Conference (24th : 25-26 April 2018 : University of Balamand, Lebanon) 
Wireless 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).
Open URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Mechatronics Engineering

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