The rapid growth of Internet of Things (IoT) dramatically increases power consumption of wireless devices. Simultaneous wireless information and power transfer (SWIPT) is a promising solution for sustainable operation of IoT devices. In this paper, we study energy efficiency (EE) in SWIPT-based distributed antenna system, where power splitting (PS) is applied at IoT devices to coordinate the energy harvesting and information decoding processes by varying transmit power of distributed antenna ports and PS ratios of IoT devices. In the case of single IoT device, we find the optimal closed-form solution by deriving some useful properties based on Karush-Kuhn-Tucker conditions and the solution is no need for numerical iterations. For the case of multiple IoT devices, we propose an efficient suboptimal algorithm to solve the EE maximization problem. Simulation results show that the proposed schemes achieve better EE performance compared with other benchmark schemes in both single and multiple IoT devices cases. in 2017, where he is currently pursuing the M.S. degree. His current research interests include wireless information and power transfer and mobile edge computing. Yuan Liu (S'11-M'13) received the B.S. degree from the he is currently an Associate Professor. His current research interests include 5G communications and beyond, mobile edge computation offloading, and machine learning in wireless networks. Dr. Liu serves as an Editor for IEEE COMMUNICATIONS LETTERS and IEEE ACCESS.
In this work REF , closed form expression for the energy efficiency in the case of a single device was derived, and an efficient suboptimal algorithm to find the optimal energy efficiency for the case of multiple devices was proposed.
Energy-Efficient SWIPT in IoT Distributed Antenna Systems
IEEE Internet of Things Journal
IEEE Internet of Things Journal
Computer Science Mathematics