Optimal energy-efficient multichannel cognitive radio with primary energy harvesting

We consider an energy-efficient multichannel cognitive radio (CR) where the secondary user (SU) can harvest the signal energy from the primary user (PU). The goal is to determine an optimal joint spectrum sensing and transmission power allocation that maximizes the average throughput of the multichannel SU subject to the constraints of sensing probabilities, interference power and total transmission power. The allocation scheme is formulated as a joint optimization problem, whose optimal solution is obtained through the joint optimization algorithm based on alternating direction optimization. Analytical and numerical results show that the proposed energy-efficient CR outperforms the traditional CR without energy harvesting and the transmission power of the energy-efficient CR improves both with the increasing of the spectrum sensing time and the presence probability of the PU.