An Energy Efficient Design of Hybrid NOMA Based on Hybrid SIC with Power Adaptation

TL;DR

This paper introduces a novel hybrid NOMA scheme with hybrid SIC and power adaptation, achieving higher energy efficiency and data rates than pure OMA at high SNRs, validated through analytical and numerical results.

Contribution

It proposes a new H-NOMA design with hybrid SIC and power adaptation, providing closed-form probability expressions and asymptotic analysis showing superior high-SNR performance.

Findings

Probability of outperforming OMA approaches 1 at high SNRs

Scheme achieves higher energy efficiency with less energy consumption

Numerical results confirm analytical predictions and superior performance

Abstract

Recently, hybrid non-orthogonal multiple access (H-NOMA) technology, which effectively utilizes both NOMA and orthogonal multiple access (OMA) technologies through flexible resource allocation in a single transmission, has demonstrated immense potential for enhancing the performance of wireless communication systems. To further release the potential of HNOMA, this paper proposes a novel design of H-NOMA which jointly incorporates hybrid successive interference cancellation (HSIC) and power adaptation (PA) in the NOMA transmission phase. To reveal the potential of the proposed HSIC-PA aided H-NOMA scheme, closed-form expression for the probability of the event that H-NOMA can achieve a higher data rate than pure OMA by consuming less energy is rigorously derived. Furthermore, the asymptotic analysis demonstrates that the probability of the proposed H-NOMA scheme approaches 1 in the high signal-to-noise ratio (SNR) regime without any constraints on either users' target rates or transmit power ratios. This represents a significant improvement over conventional H-NOMA schemes, which require specific restrictive conditions to achieve probability 1 at high SNRs as shown in existing work. The above observation indicates that with less energy consumption, the proposed HSIC-PA aided H-NOMA can achieve a higher data rate than pure OMA with probability 1 at high SNRs, and hence a higher energy efficiency. Finally, numerical results are provided to verify the accuracy of the analysis and also demonstrate the superior performance of the proposed H-NOMA scheme.