Low Complexity Optimization of the Asymptotic Spectral Efficiency in Massive MIMO NOMA

TL;DR

This paper presents a low-complexity power allocation method for massive MIMO-NOMA systems that maximizes spectral efficiency by leveraging asymptotic capacity results, enabling practical implementation with large antenna arrays.

Contribution

It introduces a novel asymptotic-based optimization approach that reduces computational complexity for massive MIMO-NOMA systems, improving accuracy over existing methods.

Findings

Achieves higher spectral efficiency compared to traditional methods.

Maintains low computational complexity for large antenna arrays.

Demonstrates improved accuracy in capacity maximization.

Abstract

Massive multiple-input multiple-output (MIMO) technology facilitates huge increases in the capacity of wireless channels, while non-orthogonal multiple access (NOMA) addresses the problem of limited resources in traditional orthogonal multiple access (OMA) techniques, promising enhanced spectral efficiency. This work uses asymptotic capacity computation results to reduce the complexity of a power allocation algorithm for small-scale MIMO-NOMA, so that it may be applied for systems with massive MIMO arrays. The proposed method maximizes the sum-capacity of the considered system, subject to power and performance constraints, and demonstrates greater accuracy than alternative approaches despite remaining low-complexity for arbitrarily large antenna arrays.