Periodic Cooperative Spectrum Sensing Optimization for Multichannel Cognitive Radio Network

In order to improve spectrum sensing performance of multichannel cognitive radio (CR) network, the optimization of periodic cooperative spectrum sensing is investigated. We seek to obtain spectrum efficiency maximization (SEM) and energy efficiency maximization (EEM) of cooperative spectrum sensing through jointly optimizing sensing time, subchannel allocation and transmission power. We have formulated a class of optimization problems and obtained the optimal solutions by alternating direction optimization and Dinkelbach’s optimization. The simulation results have indicated that SEM can achieve higher spectrum efficiency while EEM may get higher energy efficiency.