2 citations · 2 across the 2 of their papers we have counts for
5 papers
Efficient Deep Unfolding for SISO-OFDM Channel Estimation
Baptiste Chatelier, Luc Le Magoarou, Getachew Redieteab
In modern communication systems, channel state information is of paramount importance to achieve capacity. It is then crucial to accurately estimate the channel. It is possible to…
Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting
Taha Yassine, Luc Le Magoarou, Stéphane Paquelet +1
Channel charting is an unsupervised learning method that aims at mapping wireless channels to a so-called chart, preserving as much as possible spatial neighborhoods. In this paper…
Performance of MIMO channel estimation with a physical model
Luc Le Magoarou, Stéphane Paquelet
Channel estimation is challenging in multi-antenna communication systems, because of the large number of parameters to estimate. One way of facilitating this task is to use a physi…
Massive MIMO channel estimation taking into account spherical waves
Antoine Le Calvez, Luc Le Magoarou, Stéphane Paquelet
Together with millimiter waves (mmWaves), massive multiple-input multiple-output (MIMO) systems are key technological components of fifth generation (5G) wireless communication sys…
Bias-variance tradeoff in MIMO channel estimation
Luc Le Magoarou, Stéphane Paquelet
Channel estimation is challenging in multi-antenna communication systems, because of the large number of parameters to estimate. It is possible to facilitate this task by using a p…