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Statistical models of spectrum opportunities for cognitive radio

Statistical models of spectrum opportunities for cognitive radio

Arshad, Kamran and Moessner, Klaus (2011) Statistical models of spectrum opportunities for cognitive radio. In: PIMRC'11: 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, Piscataw2ay, NJ, USA, pp. 2310-2314. ISBN 978-1-4577-1346-0 (doi:10.1109/PIMRC.2011.6139931)

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Abstract

Dynamic Spectrum Access (DSA) is widely seen as a feasible solution to the problem of illusive radio spectrum clogging. The fundamental concept of DSA is to opportunistically access unutilised spectrum bands while respecting the rights of privileged incumbent users. DSA and spectrum policies depend on meticulous statistics of spectrum opportunities as well as spectrum occupancy models. In this paper, we develop a model to characterise the number of spectrum opportunities available using the probability and approximation theory. In particular, we derive the probability mass function (PMF) of the total number of spectrum opportunities available depending on the probability of each channel being free. We further analyse the complexity involved in calculating the PMF of the total number of available channels at any time and location and develop approximate models. Numerical results are provided showing that the proposed approximation models of spectrum opportunities achieve good accuracy at significantly lower computational cost.

Item Type: Conference Proceedings
Title of Proceedings: PIMRC'11: 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications
Additional Information: [1] E-ISBN : 978-1-4577-1347-7. Print ISBN: 978-1-4577-1346-0. ISSN: Pending. [2] Presented at PIMRC'11: 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications, held 11-14 September 2011 in Toronto, Canada.
Uncontrolled Keywords: approximation theory, cognitive radio, probability, radio spectrum management, approximation theory, cognitive radio, dynamic spectrum access, illusive radio spectrum clogging, meticulous statistics, privileged incumbent users, probability mass function, spectrum opportunities, statistical models, unutilised spectrum bands, approximation methods, cognitive radio, computational modeling, numerical models, probability distribution, sensors
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:
Last Modified: 14 Oct 2016 09:27
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/11322

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