Online Energy Scheduling Policies in Energy Harvesting Enabled D2D Communications

Abstract

Energy efficiency plays a vital role in device-to-device communications, which has been recognized as a key challenge. In this article, we study the implications of the peak power constraints and processing cost on the energy scheduling policy, and find that the peak power should be used around the time slots of each energy arrival, and the only time slot in which the intermittent communication may occur is the last time slot. A new optimal energy scheduling algorithm is devised based on these observations. Also, we propose a near-optimal energy scheduling algorithm that simultaneously takes into account the peak power constraints and the processing cost. Our simulation results demonstrate the effectiveness of the proposed energy scheduling algorithm and the validity of the mathematical analyses.