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This paper considers a full-duplex (FD) mobile-edge computing (MEC) systemwith non-orthogonal multiple access (NOMA) and energy harvesting (EH), whereone group of users simultaneously offload task data to the base station (BS)via NOMA and the BS simultaneously receive data and broadcast energy to othergroup of users with FD. We aim at minimizing the total energy consumption ofthe system via power control, time scheduling and computation capacityallocation. To solve this nonconvex problem, we first transform it into anequivalent problem with less variables. The equivalent problem is shown to beconvex in each vector with the other two vectors fixed, which allows us todesign an iterative algorithm with low complexity. Simulation results show thatthe proposed algorithm achieves better performance than the conventionalmethods.

Resource Allocation in Full-Duplex Mobile-Edge Computing Systems with NOMA and Energy Harvesting