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Collaborative spectrum sensing for cognitive radio

Collaborative spectrum sensing for cognitive radio

Arshad, Kamran and Moessner, Klaus (2009) Collaborative spectrum sensing for cognitive radio. In: 2009 IEEE International Conference on Communications Workshops ICC2009 Proceedings. Institute of Electrical and Electronic Engineers, Inc., Piscataway, NJ, USA. ISBN 9781424434374 (doi:10.1109/ICCW.2009.5208032)

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Abstract

Today’s wireless communication systems follow fixed spectrum assignment policies which leads to overall inefficient spectrum use. Further, spectrum scarcity is an issue for operators with emerging mobile services and large number of users with even higher capacity requirements. This inefficiency and scarcity in spectrum usage necessitates a new paradigm for communications such as utilising available spectrum opportunistically. Cognitive Radio (CR) is an enabling technology having potential to increase spectrum utilisation and provide desired interference protection to licenced users. This can be done by detection of spectrum opportunities by secondary users. Due to channel fading and shadowing a single user can not make a reliable decision and collaboration of and among users is required. In this paper, it has been demonstrated that for improved detection performance decision fusion algorithm for collaborative spectrum sensing must have information about channel and the mean SNR of all secondary users. Using Monte Carlo simulations it is concluded that for optimum performance it is not necessary that all users collaborate with each other.

Item Type: Conference Proceedings
Title of Proceedings: 2009 IEEE International Conference on Communications Workshops ICC2009 Proceedings
Additional Information: [1] This paper was first presented at the 2009 IEEE International Conference on Communications Workshops (ICC2009) held from 14-18 June 2009 in Dresden, Germany.
Uncontrolled Keywords: cognitive radio, frequency allocation, radio frequency interference, Monte Carlo simulation, channel fading, collaborative spectrum sensing, decision fusion algorithm, fixed spectrum assignment policies, interference protection, mobile services, signal to noise ratio, spectrum scarcit, spectrum utilisation, wireless communication system, cascading style sheets, chromium, collaboration, detectors, fading, interference, protection, uncertainty, wireless communication
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/11292

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