A context-aware and intelligent dynamic channel selection scheme for Cognitive Radio Networks

Yau, K.-L., Komisarczuk, Peter and Teal, P. D. (2009) A context-aware and intelligent dynamic channel selection scheme for Cognitive Radio Networks. In: Fourth International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM'09) IEEE, 22-24 June 2009, Hannover, Germany.

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Abstract

The tremendous growth in ubiquitous low-cost
wireless applications that utilize the unlicensed spectrum
bands has laid increasing stress on the limited and scarce radio
spectrum resources. Given that the licensed or Primary Users
(PUs) are oblivious to the presence of unlicensed or Secondary
Users (SUs), Cognitive Radio (CR) is a new paradigm in
wireless communication that allows the SUs to detect and use
the underutilized licensed spectrums opportunistically and
temporarily. In this paper, we propose a Context-aware and
Intelligent Dynamic Channel Selection scheme that helps SUs
to select channel adaptively for data transmission to enhance
QoS, particularly throughput and delay. Our scheme is
suitable for CR networks with mobile hosts. We formulate and
design our scheme using Reinforcement Learning that offers a
simple and yet practical solution. Channel heterogeneity,
which is a feature unique to CR networks that has been
ignored in previous studies, is considered in this paper.
Simulation results reveal that the proposed scheme achieves
very good performance.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computing
Depositing User: Vani Aul
Date Deposited: 21 Mar 2014 14:46
Last Modified: 11 Dec 2015 11:04
URI: http://repository.uwl.ac.uk/id/eprint/789

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