A low complexity optimal number of secondary user selection algorithm through maximizing resource utility

Spectrum sensing is a key technology in Cognitive Radio (CR) and cooperative spectrum sensing is derived due to the effects of channel fading. We focus on the optimal number of secondary users in cooperative spectrum sensing to maximize the utility in CR networks. By considering both the detection error probability and the resource used by the secondary users in cooperation, we derive the analytical suboptimal number of secondary users in a special CR network where all the SUs have the same SNR. The simulation results show that the utility of suboptimal scheme is greater than that of other schemes and nearly the same as that of the optimal scheme with exhaust search. The energy cost of the fusion center is reduced and it is conducive to the realigation of the green energy-saving cognitive communication network.