Optimal Resource Allocation for MC-NOMA in SWIPT-Enabled Networks

Abstract

In this letter, we study a receiver architecture technique for joint resource allocation in a downlink (DL) multi-user multi-carrier non-orthogonal multiple access (MC-NOMA) network with simultaneous wireless information and power transfer (SWIPT). In this framework, the subcarrier set is partitioned into two groups that are assigned to perform information decoding (ID) and energy harvesting (EH) at the receiver side based on the optimization problem. This letter seeks to maximize energy harvesting while meeting a minimum data-rate requirement for each user. The underlying optimization problem is mixed-integer non-linear programming (MINLP). To that end, we employ the monotonic optimization approach to obtain an optimal resource allocation policy. A suboptimal solution is also presented. Simulation results demonstrate that our proposed algorithm achieves excellent performance as compared to other works described in the literature.