In this paper, we investigate the throughput maximizing problem for a classic three-node relay communication system with a receive-and-forward relay node, which is able to harvest energy from the nature using a rechargeable battery. Besides of the energy consumption for reforwarding the received data, the energy for receiving data at the relay node is also considered. The objective is to maximize the relaying throughput, i.e., receive-and-forward data amount with the energy causality constraints. To this end, we optimize the constituent power allocation for receiving and transmitting under a deterministic energy harvesting (EH) model that the energy arrival time and the energy harvested amount are known prior to relaying. Finally, an algorithm to find the optimal power policy within the constraint of transmission deadline is presented.
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