Adaptive Multi-User Clustering and Power Allocation for NOMA Systems with Imperfect SIC

TL;DR

This paper introduces adaptive clustering and power allocation algorithms for downlink NOMA systems with imperfect SIC, improving data rates over existing methods by optimizing user grouping and power distribution.

Contribution

It presents novel adaptive algorithms for multi-user clustering and power allocation in practical NOMA systems with imperfect SIC, enhancing system performance.

Findings

Proposed algorithms outperform state-of-the-art in simulations

Achieve higher data rates than orthogonal multiple access

Effective in scenarios with imperfect SIC

Abstract

Non-orthogonal multiple access (NOMA) is recognized as a promising radio access technique for the next generation wireless systems. We consider a practical downlink NOMA system with imperfect successive interference cancellation and derive bounds on the power allocation factors for a given number of users in each cluster. We propose a minimum signal-to-interference-plus-noise ratio difference criterion between two successive NOMA users in a cluster of users to achieve higher rates than an equivalent orthogonal multiple access (OMA) system. We then propose adaptive multi-user clustering and power allocation algorithms for downlink NOMA systems. Through extensive simulations, we show that the proposed algorithms achieve higher rates than the state-of-the-art algorithms.