1department of electrical engineering, Razi university
3Department of electrical engineering, Razi university
4Department of electrical and computer engineering, university of Windsor
5department of electrical and computer engineering, university of Windsor
Cooperative spectrum sensing is an efficient solution to deal with the effects of fading components on detection performance in cognitive radio networks. Data fusion is one of the fundamental elements of this solution. In this paper, we derive the optimal ʻn-ratioʼ fusion rule over Nakagami and Rician fading channels and examine its performance through numerical simulations and compare the results to other decision fusion schemes. Evaluations indicate that ʻ2-ratioʼ logic outperforms other data fusion schemes in both Nakagami and Rician fading channels. Moreover, the effect of malfunctioning of one CR user is investigated on the performance of ʻ2-ratioʼ logic.
cooperative spectrum sensing; data fusion rules; fading channels.