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Collaborative Spectrum Sensing with Correlated Local Decisions  

Lim, Chang-Heon (부경대학교 전자공학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.35, no.8C, 2010 , pp. 713-719 More about this Journal
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.
Keywords
Cognitive Radio; Spectrum Sensing; Energy Detection; Decision Fusion;
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