260 citations · 456 across the 15 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…
Noisy Density Evolution With Asymmetric Deviation Models
Elsa Dupraz, François Leduc-Primeau
This paper considers low-density parity-check (LDPC) decoders affected by deviations introduced by the electronic device on which the decoder is implemented. Noisy density evolutio…
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…