The optimal allocation of time and energy resources is characterized in a Wireless Powered Communication Network (WPCN) with non-Orthogonal Multiple Access (NOMA). We consider two different formulations; in the first one (max-sum), the sum-throughput of all users is maximized. In the second one (max-min), and targeting fairness among users, we consider maximizing the min-throughput of all users. Under the above two formulations, two NOMA decoding schemes are studied, namely, low complexity decoding (LCD) and successive interference cancellation decoding (SICD). Due to the non-convexity of three of the studied optimization problems, we consider an approximation approach, in which the non-convex optimization problem is approximated by a convex optimization problem, which satisfies all the constraints of the original problem. The approximated convex optimization problem can then be solved iteratively. The results show a trade-off between maximizing the sum throughout and achieving fairness through maximizing the minimum throughput.
@article{arxiv.1808.00268,
title = {Towards Optimal Resource Allocation in Wireless Powered Communication Networks with Non-Orthogonal Multiple Access},
author = {Mariam M. N. Aboelwafa and Mohamed A. Abd-Elmagid and Alessandro Biason and Karim G. Seddik and Tamer ElBatt and Michele Zorzi},
journal= {arXiv preprint arXiv:1808.00268},
year = {2018}
}