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Cooperative temporal sensing and distributed estimation are two vital aspects of cognitive radio. This paper studies a joint cooperative temporal sensing and distributed estimation scheme for Bayesian optimal threshold. This scheme studies the impact of distributed estimation error on the performance of cooperative temporal sensing by using Bayesian cost, and the Bayesian optimal threshold is obtained by minimizing the Bayesian cost. Finally, we examine the performances of other optimal thresholds with different criterions, and the effect of imperfect channel estimation is also tested. Numerical results show the performance of proposed scheme and validate our analysis.

Joint Cooperative Temporal Sensing and Distributed Estimation for Bayesian Optimal Threshold