Energy-Efficient Downlink Power Control in mmWave Cell-Free and User-Centric Massive MIMO

TL;DR

This paper proposes energy-efficient downlink power control algorithms for mmWave cell-free and user-centric massive MIMO systems, demonstrating improved energy efficiency and performance through hybrid beamforming and optimization techniques.

Contribution

It introduces novel power control algorithms tailored for mmWave massive MIMO, considering hybrid beamforming and addressing non-convex optimization challenges.

Findings

User-centric approach outperforms cell-free in energy efficiency.

Power control algorithms significantly improve system performance.

Hybrid beamforming enhances coverage and efficiency.

Abstract

This paper considers cell-free and user-centric approaches for coverage improvement in wireless cellular systems operating at millimeter wave frequencies, and proposes downlink power control algorithms aimed at maximizing the global energy efficiency. To tackle the non-convexity of the problems, an interaction between sequential and alternating optimization is considered. The use of hybrid analog/digital beamformers is also taken into account. The numerical results show the benefits obtained from the power control algorithm, as well as that the user-centric approach generally outperforms the cell-free one.