2 papers
eess.SP2024
SAGE-HB: Swift Adaptation and Generalization in Massive MIMO Hybrid Beamforming
Ali Hasanzadeh Karkan, Hamed Hojatian, Jean-François Frigon +1
Deep learning (DL)-based solutions have emerged as promising candidates for beamforming in massive Multiple-Input Multiple-Output (mMIMO) systems. Nevertheless, it remains challeng…
eess.SP2023
Learning Energy-Efficient Hardware Configurations for Massive MIMO Beamforming
Hamed Hojatian, Zoubeir Mlika, Jérémy Nadal +2
Hybrid beamforming (HBF) and antenna selection are promising techniques for improving the energy efficiency~(EE) of massive multiple-input multiple-output~(mMIMO) systems. However,…