Arshad, Kamran and Moessner, Klaus (2009) Collaborative spectrum sensing: optimising the number of collaborating users. In: Proceedings 2009 First UK-India International Workshop on Cognitive Wireless Systems (UKIWCWS). Institution of Electrical and Electronics Engineers, Inc., Piscataway, NJ, USA. ISBN 9781457701825 (doi:https://doi.org/10.1109/UKIWCWS.2009.5749394)

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Abstract

In the IEEE 802.22 standard, the spectrum sensing mechanism is identified as a key functionality of a cognitive radio. Due to the channel uncertainty, a single cognitive user, in most cases, can not make a reliable decision and hence collaboration or cooperation of and among multiple users is required. However, when large number of cognitive users are collaborating with each other, the bandwidth requirements for sending their result to the fusion centre tends to be very large. In this paper, a metric for spectrum efficiency is defined and used for the optimisation of collaborative spectrum sensing. An optimisation algorithm is presented to calculate the optimal number of collaborating cognitive users with the aim to maximise overall spectrum efficiency by satisfying certain constraints in terms of global probability of detection and probability of false alarm. Numerical results show that for maximum spectrum efficiency collaboration of only a subset of the available cognitive users is required.

Item Type:	Conference Proceedings
Title of Proceedings:	Proceedings 2009 First UK-India International Workshop on Cognitive Wireless Systems (UKIWCWS)
Additional Information:	1] This paper was first presented at the 2009 First UK-India International Workshop on Cognitive Wireless Systems (UKIWCWS 2009) held from 10-12 December 2009 in New Delhi, India. [2] ISBN: 9781457701825; 9781457701832
Uncontrolled Keywords:	optimisation, probability, radio spectrum management, wireless channels, IEEE 802.22 standard, channel uncertainty, cognitive radio, collaborating user, collaborative spectrum sensing, false alarm detection probability, fusion centre, optimisation algorithm, spectrum efficiency, collaboration, fading, optimization, probability, sensors, signal to noise ratio
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Pre-2014 Departments:	School of Engineering School of Engineering > Mobile & Wireless Communications Research Laboratory
Related URLs:	Publisher Publisher Organisation
Last Modified:	14 Oct 2016 09:27
URI:	http://gala.gre.ac.uk/id/eprint/11295

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