Self-Supervised Learning of Linear Precoders Under Non-Linear PA Distortion for Energy-Efficient Massive MIMO Systems

Massive multiple input multiple output (MIMO) systems are typically designed under the assumption of linear power amplifiers (PAs). However, PAs are typically most energy-efficient when operating close to their saturation point, where they cause non-linear distortion. Moreover, when using convention...

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Veröffentlicht in:	IEEE International Conference on Communications (2003) S. 6367 - 6372
Hauptverfasser:	Feys, Thomas, Mestre, Xavier, Rottenberg, Francois
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 28.05.2023
Schlagworte:	Limiting linear precoding Massive MIMO neural networks non-linear power amplifier Nonlinear distortion Parameter estimation Power amplifiers Precoding Self-supervised learning Simulation
ISSN:	1938-1883
Online-Zugang:	Volltext
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