Collaborative Spectrum Sensing with Correlated Local Decisions 


Vol. 35,  No. 8, pp. 713-719, Aug.  2010


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  Abstract

Collaborative spectrum sensing has been found to be an effective means for detecting the activity of primary users in a fading environment. Most previous works on collaborative spectrum sensing are based on the assumption that the local spectrum sensing decisions of secondary users are statistically independent. However, it may not hold in some practical situations. In this paper, we consider a cognitive radio network where the local spectrum sensing decisions of secondary users are statistically correlated with the same level of correlation if they are next to each other in location and statistically independent, otherwise. Then, for the system, we analyzed the performance of the collaborative spectrum sensing with the AND and the OR fusion rules and found that the scheme with the AND fusion rule performs better than the one with OR fusion rule when the degree of correlation is significant.

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  Cite this article

[IEEE Style]

C. Lim, "Collaborative Spectrum Sensing with Correlated Local Decisions," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 8, pp. 713-719, 2010. DOI: .

[ACM Style]

Chang-Heon Lim. 2010. Collaborative Spectrum Sensing with Correlated Local Decisions. The Journal of Korean Institute of Communications and Information Sciences, 35, 8, (2010), 713-719. DOI: .

[KICS Style]

Chang-Heon Lim, "Collaborative Spectrum Sensing with Correlated Local Decisions," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 8, pp. 713-719, 8. 2010.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880