Selecting users in energy-efficient collaborative spectrum sensing

D. Godarzi, K. Arshad, Youngwook Ko, K. Moessner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationIEEE Wireless Communications and Networking Conference (WCNC)
Place of PublicationParis, France
Number of pages5
Publication statusPublished - Apr 2012
EventIEEE Wireless Communications & Networking Conf. (WCNC 2012) - Paris, France
Duration: 01 Apr 201201 Apr 2012


ConferenceIEEE Wireless Communications & Networking Conf. (WCNC 2012)

ASJC Scopus subject areas

  • Engineering(all)


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