Optimal Joint Power and Subcarrier Allocation for Full-Duplex Multicarrier Non-Orthogonal Multiple Access Systems

TL;DR

This paper develops optimal and suboptimal resource allocation algorithms for full-duplex multicarrier NOMA systems, significantly improving throughput and fairness over traditional half-duplex OMA systems.

Contribution

It introduces an optimal joint power and subcarrier allocation method using monotonic optimization and a practical suboptimal scheme for FD MC-NOMA systems.

Findings

Suboptimal algorithm achieves near-optimal performance.

FD MC-NOMA outperforms HD MC-OMA in throughput.

Proposed methods enhance fairness in resource allocation.

Abstract

In this paper, we investigate resource allocation algorithm design for multicarrier non-orthogonal multiple access (MC-NOMA) systems employing a full-duplex (FD) base station (BS) for serving multiple half-duplex (HD) downlink (DL) and uplink (UL) users simultaneously. The proposed algorithm is obtained from the solution of a non-convex optimization problem for the maximization of the weighted sum system throughput. We apply monotonic optimization to develop an optimal joint power and subcarrier allocation policy. The optimal resource allocation policy serves as a system performance benchmark due to its high computational complexity. Furthermore, a suboptimal iterative scheme based on successive convex approximation is proposed to strike a balance between computational complexity and optimality. Our simulation results reveal that the proposed suboptimal algorithm achieves a close-to-optimal performance. Besides, FD MC-NOMA systems employing the proposed resource allocation algorithms provide a substantial system throughput improvement compared to conventional HD multicarrier orthogonal multiple access (MC-OMA) systems and other baseline schemes. Also, our results unveil that the proposed FD MC-NOMA systems achieve a fairer resource allocation compared to traditional HD MC-OMA systems.