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Selecting users in energy-efficient collaborative spectrum sensing

Selecting users in energy-efficient collaborative spectrum sensing

Godarzi, Davood M., Arshad, Kamran, Ko, Youngwook and Moessner, Klaus (2012) Selecting users in energy-efficient collaborative spectrum sensing. In: 2012 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, Piscataway, NJ, USA, pp. 1029-1033. ISBN 978-1-4673-0436-8 ISSN 1525-3511 (doi:https://doi.org/10.1109/WCNC.2012.6213924)

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Abstract

Cognitive radio network is defined as an intelligent wireless communication network that should be able to adaptively reconfigure its communication parameters to meet the demands of the transmission network or the user. In this context one possible way to utilize unused licensed spectrum without interfering with incumbent users is through spectrum sensing. Due to channel uncertainties, single cognitive (opportunistic) user cannot make a decision reliably and hence collaboration among multiple users is often required. Here collaboration among large number of users tends to increase power consumption and introduces large communication overheads. In this paper, the number of collaborating users is optimized in order to maximize the probability of detection for any given power budget in a cognitive radio network, while satisfying constraints on the false alarm probability. We show that for the maximum probability of detection, collaboration of only a subset of available opportunistic users is required. The robustness of our proposed spectrum sensing algorithm is also examined under flat Rayleigh fading and AWGN channel conditions.

Item Type: Conference Proceedings
Title of Proceedings: 2012 IEEE Wireless Communications and Networking Conference (WCNC)
Additional Information: [1] Paper presented at 2012 IEEE Wireless Communications and Networking Conference (WCNC), held 1-4 April 2012 in Paris, France.
Uncontrolled Keywords: AWGN channels, Rayleigh channels, cognitive radio, probability, radio networks,radiofrequency interference, telecommunication network reliability, AWGN channel, channel uncertainty, cognitive radio network, communication overhead, energy-efficient collaborative spectrum sensing, false alarm probability, flat Rayleigh fading channel, incumbent user interference, intelligent wireless communication network, opportunistic user, power budget, power consumption, probability detection maximization, single cognitive user, transmission network demand, unused licensed spectrum utilization, AWGN, cognitive radio, collaboration, Rayleigh channels, sensors, signal to noise ratio
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Pre-2014 Departments: School of Engineering > Mobile & Wireless Communications Research Laboratory
School of Engineering
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Last Modified: 14 Oct 2016 09:27
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/11321

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