Reference : Effect of Primary User Traffic on Largest Eigenvalue Based Spectrum Sensing Technique

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/28307

Title :	Effect of Primary User Traffic on Largest Eigenvalue Based Spectrum Sensing Technique
Language :	English
Author, co-author :	Dhakal, Pawan [Politecnico di Torino, Turin, Italy]
	Sharma, Shree Krishna [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Riviello, Daniel [Politecnico di Torino, Turin, Italy]
Publication date :	May-2016
Main document title :	Proceedings of International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM)
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM)
Event date :	30-05-2016 to 01-06-2016
Event organizer :	EAI
Event place (city) :	GRENOBLE
Event country :	France
Keywords :	[en] Eigen value based detection ; Primary user traffic ; Spectrum sensing ; RLRT
Abstract :	[en] In this paper, the effect of primary user (PU) traffic on the performance of largest eigenvalue based spectrum sensing technique (Roy’s Largest Root Test (RLRT)) is investigated. A simple and realistic discrete time modeling of PU traffic is considered which is only based on the discrete time distribution of PU free and busy periods. Furthermore, in order to analyze the effect of PU traffic on the detection performance, analytical expressions for the probability density functions of the decision statistic are derived and validated by Monte-Carlo simulations. Numerical results demonstrate that the sensing performance of RLRT is no more monotonically increasing with the length of the sensing duration and also with SNR which contrasts with the common property of the spectrum sensing techniques under known PU traffic scenario. Furthermore, it is shown that the performance gain due to the multiple antennas in the sensing unit is significantly suppressed by the effect of the PU traffic when the frequency of the PU traffic transitions is higher.
Target :	Researchers ; Professionals ; Students ; Others
Permalink :	http://hdl.handle.net/10993/28307
DOI :	10.1007/978-3-319-40352-6_6

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