102 citations · 194 across the 25 of their papers we have counts for
3 papers · 1 filter
Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming
Hamed Hojatian, Jeremy Nadal, Jean-Francois Frigon +1
Hybrid beamforming is a promising technique to reduce the complexity and cost of massive multiple-input multiple-output (MIMO) systems while providing high data rate. However, the…
RSSI-Based Hybrid Beamforming Design with Deep Learning
Hamed Hojatian, Vu Nguyen Ha, Jérémy Nadal +2
Hybrid beamforming is a promising technology for 5G millimetre-wave communications. However, its implementation is challenging in practical multiple-input multiple-output (MIMO) sy…
System Energy-Efficient Hybrid Beamforming for mmWave Multi-user Systems
Vu Nguyen Ha, Duy H. N. Nguyen, Jean-Francois Frigon
This paper develops energy-efficient hybrid beamforming designs for mmWave multi-user systems where analog precoding is realized by switches and phase shifters such that radio freq…