Optimal resource allocation scheme in green cognitive radio networks

The concept of cognitive radio (CR) is proposed to deal with the problem that the spectrum resource is almost used up but some licensed bands are under very low utilization at the same time. In CR networks, secondary users (SUs) are allowed to utilize the licensed spectrum bands by paying to the primary users (PUs) with the spectrum licenses. Besides, with the rapid development of wireless communications and portable user devices, power consumption issues draw more and more attentions recently. In this paper, taking into consideration the power consumption, we proposed an optimal resource allocation scheme to maximize PU´s reward in green CR networks. SUs´ SNR requirements and interference limit are considered in the optimal resource allocation process. We use restless bandits formulation to reduce the computational complexity. In addition, the simulation results show that the proposed scheme improves the reward of PU compared to greedy scheme and the existing scheme.