Throughput Maximization for Multi-Slot Data Transmission via Two-Hop DF SWIPT-Based UAV System

In this paper, an unmanned aerial vehicle (UAV) assisted cooperative communication system is studied, wherein a source transmits information to the destination through an energy harvesting decode-and-forward UAV. It is assumed that the UAV can freely move in between the source-destination pair to set up line of sight communications with the both nodes. Since the battery of the UAV may be limited, it can harvest energy from the received signal via power splitting technique to be able to perfectly transmit data to the destination. Therefore, we study throughput maximization problem for multiple time slots data transmission through the cooperative energy harvesting UAV. To maximize the throughput, optimal power allocation at the source and the UAV, and power splitting ratio at the UAV are studied over each time slot in presence of information-causality and energy-causality constraints at the UAV. Finally, numerical results are presented to analyze the spectral and energy efficiency of the proposed system, and effects of optimal power allocations and the power splitting ratio. The results indicate that by utilizing optimal resource allocations at the source and the UAV, and utilizing simultaneous wireless information and power transfer (SWIPT), significant throughput improvement is achieved compared to those of without optimal resource allocation, or without SWIPT, and all of static UAV scenarios, i.e. the maximum throughput between the source and the destination increases, while there is no need to increase the battery capacity at the UAV.