Hybrid Cooperative Spectrum Sensing scheme for Cognitive Radio Networks

In this paper, we propose a Hybrid Cooperative Spectrum Sensing scheme called HCSS scheme for Cognitive Radio Networks. The novelty of the proposed scheme is that we derive the optimal detection threshold of the Log-Likelihood Ratio test which is employed at each cluster head by using the minimum error probability criterion. In additions, the optimal Chair-Varshney fusion rule is applied at the fusion center to achieve higher sensing accuracy. The simulation results prove that the proposed scheme provides better sensing performance in terms of error probability compared to the conventional hard combination schemes with k-out-of-N fusion rule.