10 citations · 22 across the 8 of their papers we have counts for
3 papers · 1 filter
Model-based Deep Learning for Beam Prediction based on a Channel Chart
Taha Yassine, Baptiste Chatelier, Vincent Corlay +4
Channel charting builds a map of the radio environment in an unsupervised way. The obtained chart locations can be seen as low-dimensional compressed versions of channel state info…
Deep learning for location based beamforming with NLOS channels
Luc Le Magoarou, Taha Yassine, Stéphane Paquelet +1
Massive MIMO systems are highly efficient but critically rely on accurate channel state information (CSI) at the base station in order to determine appropriate precoders. CSI acqui…
Parametric channel estimation for massive MIMO
Luc Le Magoarou, Stéphane Paquelet
Channel state information is crucial to achieving the capacity of multi-antenna (MIMO) wireless communication systems. It requires estimating the channel matrix. This estimation ta…