  Power and channel allocation in interference-limited systems is a key enabler
for beyond 5G (B5G) technologies, such as multi-carrier full duplex
non-orthogonal multiple access (FD-NOMA). In FD-NOMA systems power allocation
is a very computationally intense non-convex problem due to the presence of
strong interference and the integrality condition on channel allocation. In
this paper, we propose an iterative power allocation algorithm based on the
minimization of the weighted mean square error, which converges to a feasible
allocation of the original problem. Experimental results show that the proposed
algorithm has by far the lowest complexity among other state-of-the-art
solutions. Moreover, they assess the validity of our approach showing
performance close to the theoretical optimum.
