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Performance Evaluation of a Cooperative Spectrum Sensing using the k-out-of-n Fusion Rule in CR Networks  

Lee, Sang-Wook (부경대학교 전자공학과 통신시스템 연구실)
Lim, Chang-Heon (부경대학교 전자컴퓨터정보통신공학부)
Abstract
Cooperative spectrum sensing allows secondary users of a cognitive radio(CR) network to collaborate to determine whether a primary user occupies the spectrum of interest or not. It usually performs spectrum sensing by combining the individual decisions of each second user into a final one and the k-out-of-n fusion rule is a general approach for decision fusion. This rule declares that the spectrum is occupied only when the decisions from more than k-1 secondary users indicate the presence of a primary user. In this paper, we analyze a cooperative spectrum sensing scheme with the fusion rule under the constraint that its detection probability is maintained to be no less than a given level and its numerical results for the case of a CR network with 10 secondary users.
Keywords
cognitive radio; cooperative spectrum sensing; fusion rule;
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1 A. Ghasemi and E. S. Sousa, 'Spectrum sensing incognitive radio networks: requirements, challenges anddesign trade-offs[cognitive radio communications],'IEEE commun. mag., vol. 46, no. 4, pp. 32-39, April 2008   DOI   ScienceOn
2 E. Visotsky, S. Kuffner and R. Peterson, 'Oncollaborative detection of TV transmissions insupport of dynamic spectrum sharing,' IEEE DySPAN 2005, pp. 338-345, Nov. 2005
3 W. Zhang, R. K. Mallik and K. Ben Letaief'Cooperative Spectrum Sensing Optimization inCognitive Radio Networks,'in Proc. IEEE Int. Conf. Commun., pp. 3411-3415, May 2008
4 J. Ma and Y. Li, 'A probability-based spectrumsensing scheme for cognitive radio,' ICC 2008, pp.3416-3420, May 2008
5 Federal Communications Commision, 'Spectrumpolicy task force report, (ET Docket No. 02-135),'Nov. 2002. [Online.] Available:raunfoss.fcc.gov/ edocs_public/attachmatch/DOC-228542A1.pdf
6 Q. Zhi, C. Shuguang and A. H. Sayed, 'OptimalLinear Cooperation for Spectrum Sensing inCognitive Radio Networks,' IEEE journal of selected topics in signal processing, vol. 2, no. 1, pp. 28-40,Feb. 2008   DOI   ScienceOn
7 E. Peh and Y. Liang 'Optimization for CooperativeSensing in Cognitive Radio Networks', WCNC 2007,pp. 27-32, March 2007
8 P. K. Varshney, Distributed Detection and DataFusion, Springer-Verlag, 1997
9 IEEE 802.22 Wireless RAN, 'Functional requirements for the 802.22 WRAN support of standard, IEEE 802.22 -05/0007r46', Oct. 2005
10 V. K. Rohatgi, An Introudction to Probability Theory and Mathematical Statistics, WILEY, 1976
11 M. Abramowitz and I. A. Stegun, Handbook ofMathematical Functions with Formulas, Graphs, andMathematical Table, DOVER, 1964
12 S. M. Mishra, A. Sahai, and R. W. Broderson,'Cooperative sensing among cognitive radios,' inProc. IEEE (ICC), vol 4, pp. 1658 - 1663 Jun. 2006
13 W. Lee and I. F. Akyildiz, 'Optimal SpectrumSensing Framework for Cognitive Radio Networks,'IEEE Transaction on Wireless Commun., vol. 7, no.10, pp. 3845-3857, Oct. 2008   DOI   ScienceOn
14 G. Ganesan and Y. Li, 'Cooperative spectrumsensing in cognitive radio networks,' IEEE DySPAN2005, pp. 137-143, Nov. 2005