Abstract
In this paper, we consider a time-slotted energy harvesting (EH) cognitive radio (CR) network, where the secondary user (SU) is powered by a continual source of energy harvested from ambient environment. Jointly considering the primary user activity on the primary channel, diversity of channel conditions, energy replenishment process as well as the imperfection of spectrum sensing, the SU aims to maximize the total throughput in a finite horizon time slots by jointly optimizing the spectrum sensing as well as the transmit power. We formulate the above design problem as a finite-horizon sequential decision process, and propose an optimal policy through using the dynamic programming. An interesting structural property regarding the optimal policy is obtained. It is proved that the maximum expected throughput is non-decreasing with the amount of the available energy in the battery. Finally, the performance of the optimal policy and the impacts of system parameters are evaluated through numerical results.
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