Computation Energy Efficiency Maximization of SWIPT-Assisted FD-NOMA MEC Systems

In this work, a simultaneous wireless information and power transmission (SWIPT) assisted full-duplex (FD) non-orthogonal multiple access (NOMA) mobile edge computing (MEC) transmission scheme is proposed for next-generation wireless networks. SWIPT, FD, NOMA, and MEC are used to help computational and energy-constrained IoT devices in next-generation wireless networks efficiently cope with their computational requirements. The computation energy efficiency (CEE) maximization of the SWIPT-assisted IoT devices performing par-tial offloading with the existence of a downlink user is considered in the proposed scheme. Accordingly, an optimization problem, optimizing power, time and frequency coefficients to maximize the CEE, is formulated, and an effective algorithm is proposed to optimize the coefficients jointly. The provided numerical studies demonstrate the significantly better performance of the proposed scheme over the benchmark schemes.