Optimum Power-Subcarrier Allocation and Time-Sharing in Multicarrier NOMA Uplink

TL;DR

This paper introduces an optimal power and subcarrier allocation method for uplink MC-NOMA systems, improving data rates and power efficiency by dynamically adjusting decoding orders, surpassing existing heuristic approaches.

Contribution

It presents a novel optimal allocation scheme and a dynamic time-sharing algorithm that jointly optimize power, subcarriers, and decoding order in uplink MC-NOMA systems.

Findings

Achieves higher sum data rates than existing methods.

Reduces power consumption in uplink MC-NOMA.

Effectively adapts decoding orders to meet data rate requirements.

Abstract

Currently used resource allocation methods for uplink multicarrier non-orthogonal multiple access (MC-NOMA) systems have multiple shortcomings. Current approaches either allocate the same power across all subcarriers to a user, or use heuristic-based near-far, strong channel-weak channel user grouping to assign the decoding order for successive interference cancellation (SIC). This paper proposes a novel optimal power-subcarrier allocation for uplink MC-NOMA. This new allocation achieves the optimal power-subcarrier allocation as well as the optimal SIC decoding order. Furthermore, the proposed method includes a time-sharing algorithm that dynamically alters the decoding orders of the participating users to achieve the required data rates, even in cases where any single decoding order fails to do so. Extensive experimental evaluations show that the new method achieves higher sum data rates and lower power consumption compared to current NOMA methods.