Weighted Proportional Fair Scheduling for Downlink Non-Orthogonal Multiple Access

TL;DR

This paper proposes a weighted proportional fair scheduling method for downlink NOMA systems, enhancing fairness and throughput with minimal added complexity, validated through simulations.

Contribution

Introduces a novel weighted PF scheduling scheme for NOMA that improves fairness and throughput with limited complexity increase.

Findings

Enhanced long-term fairness and throughput in NOMA systems

Limited impact on scheduler complexity

Simulation results confirm performance improvements

Abstract

In this paper, a weighted proportional fair (PF) scheduling method is proposed in the context of non-orthogonal multiple access (NOMA) with successive interference cancellation (SIC) at the receiver side. The new scheme introduces weights that adapt the classical PF metric to the NOMA scenario, improving performance indicators and enabling new services. The distinguishing value of the proposal resides in its ability to improve long term fairness and total system throughput while achieving a high level of fairness in every scheduling slot. Finally, it is shown that the additional complexity caused by the weight calculation has only a limited impact on the overall scheduler complexity while simulation results confirm the claimed improvements making the proposal an appealing alternative for resource allocation in a cellular downlink system.