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Minimum neighbour and extended Kalman filter estimator : a practical distributed channel assignment scheme for dense wireless local area networks

Drieberg, Micheal and Ahmad, Rizwan and Zheng, F-C (2010) Minimum neighbour and extended Kalman filter estimator : a practical distributed channel assignment scheme for dense wireless local area networks. IET Communications, 4 (15). pp. 1865-1875. ISSN 1751-8628

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Abstract

Dense deployments of wireless local area networks (WLANs) are becoming a norm in many cities around the world. However, increased interference and traffic demands can severely limit the aggregate throughput achievable unless an effective channel assignment scheme is used. In this work, a simple and effective distributed channel assignment (DCA) scheme is proposed. It is shown that in order to maximise throughput, each access point (AP) simply chooses the channel with the minimum number of active neighbour nodes (i.e. nodes associated with neighbouring APs that have packets to send). However, application of such a scheme to practice depends critically on its ability to estimate the number of neighbour nodes in each channel, for which no practical estimator has been proposed before. In view of this, an extended Kalman filter (EKF) estimator and an estimate of the number of nodes by AP are proposed. These not only provide fast and accurate estimates but can also exploit channel switching information of neighbouring APs. Extensive packet level simulation results show that the proposed minimum neighbour and EKF estimator (MINEK) scheme is highly scalable and can provide significant throughput improvement over other channel assignment schemes.

Item Type: Article
Uncontrolled Keywords: ResPubID21305, Kalman filters, packet radio networks, wireless LAN, wireless channels
Subjects: Faculty/School/Research Centre/Department > Centre for Telecommunications and Micro-Electronics (CTME)
FOR Classification > 1005 Communications Technologies
SEO Classification > 8617 Communication Equipment
Depositing User: VUIR
Date Deposited: 19 Dec 2011 22:23
Last Modified: 21 Jan 2015 00:02
URI: http://vuir.vu.edu.au/id/eprint/7099
DOI: 10.1049/iet-com.2010.0069
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Citations in Scopus: 3 - View on Scopus

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