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