Energy-Efficient Power Allocation in Millimeter Wave Massive MIMO with Non-Orthogonal Multiple Access

TL;DR

This paper proposes an energy-efficient power allocation scheme for mmWave massive MIMO systems with NOMA, utilizing hybrid precoding and iterative algorithms to enhance energy efficiency while satisfying QoS constraints.

Contribution

It introduces a novel hybrid precoding and power allocation method for mmWave mMIMO with NOMA, improving energy efficiency over traditional OMA methods.

Findings

NOMA outperforms OMA in energy efficiency.

The proposed iterative algorithm effectively optimizes power allocation.

Hybrid precoding reduces RF chain requirements.

Abstract

In this letter, we investigate the energy efficiency (EE) problem in a millimeter wave (mmWave) massive MIMO (mMIMO) system with non-orthogonal multiple access (NOMA). Multiple two-user clusters are formulated according to their channel correlation and gain difference. Following this, we propose a hybrid analog/digital precoding scheme for the low radio frequency (RF) chains structure at the base station (BS). On this basis, we formulate a power allocation problem aiming to maximize the EE under users' quality of service (QoS) requirements and per-cluster power constraint. An iterative algorithm is proposed to obtain the optimal power allocation. Simulation results show that the proposed NOMA achieves superior EE performance than that of conventional OMA.