Optimization of parameters for cooperative spectrum sensing in cognitive radio networks

In order to improve the performance of spectrum sensing in cognitive radio networks, certain parameters of cooperative spectrum sensing need to be optimized. Aiming at maximizing the capacity of cognitive radio network, a target function for determining the optimal sensing parameters is established. A novel algorithm of adopting a numerical searching method to optimize this established target function is proposed to achieve the optimization of the sensing time and the fusion rule of hard decision. The simulation results show that the cognitive radio network capacity can be maximized when the parameters of the sensing time and the fusion rule are jointly optimized by the proposed algorithm.