A Novel Cooperative Spectrum Sensing Algorithm on Shared Primary Spectrum in Cognitive Radio Networks

摘要

In this paper, we propose a novel cooperative spectrum sensing scheme on shared primary spectrum to save channel resources and reduce an additional complexity due to the resource management over dedicated reporting channel. To reduce the interference from secondary users to primary user, a selective transmission mechanism based on local detection results is proposed. Next, taking into account the reliability differences of those decisions made by different secondary users, we propose an optimal weighted fusion rule with the likelihood ratio test. Finally, the optimal detection threshold of energy detection is determined. Numeric simulation shows that the proposed algorithm achieves a comparably high detection performance without dedicated reporting channel.