Optimal censor-based detection in cooperative spectrum sensing

Cooperative spectrum sensing is one of the most important proposed methods to combat with fading, shadowing, and hidden primary user problems. Also, censoring idea was proposed to reduce the communication overhead in cooperative spectrum sensing. In this paper, optimal censor-based strategies are investigated. Optimization problem is formulated under the bandwidth constraint for fixed local rule scenario, fixed fusion rule (OR) scenario, and also joint optimization of local and fusion rules. Solutions to the first two problems are found analytically and the joint optimization problem is solved by means of an iterative search algorithm. Simulation results are also presented to study the impact of the communication constraint on the censoring scheme and the detection performance.