ABSTRACT Simultaneous wireless information and power transfer (SWIPT) and mobile-edge computing (MEC) are promising technologies in Internet of Things era, which can enhance the self-sustainability and computation capability of user equipment, respectively. In this paper, we propose a multiple-input multipleoutput full-duplex (FD) relay-based SWIPT-MEC system. With MEC and SWIPT, UE can use its battery energy to execute a computation task locally or offload part or all of it to access point connected with an MEC server and refill battery while receiving the computation results. The FD mode allows relay to receive and transmit the offloaded bits simultaneously. Based on these, an energy-efficient problem is formulated to minimize the system energy consumption over a time block, while the latency constraints and the energy consumption constraints are guaranteed. Since the original problem is non-convex, we use an alternating optimization technique to convert the original problem into three subproblems. Some propositions and algorithms are proposed to solve these three subproblems. Numerical results demonstrate that the proposed optimization scheme achieves a significant performance gain by comparisons with three benchmark schemes. INDEX TERMS Mobile-edge computing, simultaneous wireless information and power transfer, full duplex, offload, alternating optimization technique.
In REF , a MIMO FD relay based SWIPT-MEC system and an energy efficient problem were formulated to minimize the system energy consumption.
Joint Offloading and Computing Design in Wireless Powered Mobile-Edge Computing Systems With Full-Duplex Relaying
IEEE Access
IEEE Access
Computer Science