Abstract
The energy-harvesting cognitive radio (CR) network is proposed to improve the spectrum efficiency and energy efficiency. We focus on the optimization of sensing time and power allocation to maximize the throughput of the energy-harvesting CR network subject to the energy causality constraint and collision constraint. Based on the classification of operating regions, the optimization problem is divided into two sub-problems. Then, the efficient iterative Algorithm 1 and Algorithm 2 are proposed to solve sub-problem (A) and sub-problem (B), respectively. Numerical results show that a significant improvement in the throughput is achieved via joint optimization of sensing time and power allocation.
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