MUSIC_with_HWI

Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays

This paper presents a differentiable MUSIC model to perform joint DoA and harwdare impairments mitigation. Submitted to IEEE ICC 2025.

November 2024 · Baptiste CHATELIER, José Miguel MATEOS-RAMOS, Vincent CORLAY, Christian HAGER, Matthieu CRUSSIERE, Henk WYMEERSCH, Luc LE MAGOAROU
Proposed CSI compression method

CSI Compresion using Channel Charting

This paper presents how channel charting can be used to perform CSI compression in FDD MIMO systems. Published in IEEE ASILOMAR 2024.

October 2024 · Baptiste CHATELIER, Vincent CORLAY, Matthieu CRUSSIERE, Luc LE MAGOAROU
Reconstructions

Model-based learning for multi-antenna multi-frequency location-to-channel mapping

This paper studies the location-to-channel mapping learning in a multi-antenna multi-frequency setting. Preprint.

June 2024 · Baptiste CHATELIER, Vincent CORLAY, Matthieu CRUSSIERE, Luc LE MAGOAROU
Scenario

Semi-Supervised End-to-End Learning for Integrated Sensing and Communications

This paper present a new neural archicture for single target Integrated Sensing and Communications with limited labeled data. Published in IEEE ICMLCN 2024.

May 2024 · José Miguel MATEOS-RAMOS, Baptiste CHATELIER, Christian HAGER, Musa FURKAN KESKIN, Luc LE MAGOAROU, Henk WYMEERSCH
Scene reconstruction

Model-based learning for location-to-channel mapping

This paper present a new neural archicture for the location-to-channel mapping learnign problem. Published in IEEE ICASSP 2024.

January 2024 · Baptiste CHATELIER, Luc LE MAGOAROU, Vincent CORLAY, Matthieu CRUSSIERE
Correlation maps

Model-based Deep Learning for Beam Prediction based on a Channel Chart

This paper presents how the use of channel charting and deep learning allows to decrease the complexity of beam allocation in Cell Free Massive MIMO systems. Published in IEEE ASILOMAR 2023.

December 2023 · Taha YASSINE, Baptiste CHATELIER, Vincent CORLAY, Matthieu CRUSSIERE, Stéphane PAQUELET, Olav TIRKKONEN, Luc LE MAGOAROU
Learned channel charts

Cartographie du canal par réduction de dimension et réseaux triplets

This paper reviews the use of triplet networks for channel charting. Published in GRETSI 2023.

August 2023 · Taha YASSINE, Luc LE MAGOAROU, Baptiste CHATELIER, Stéphane PAQUELET, Matthieu CRUSSIERE
PG map from the perspective of the red BS

Influence of Dataset Parameters on the Performance of Direct UE Positioning via Deep Learning

This paper reviews the influence of dataset parameter on UE positioning performance with deep learning methods. Published in IEEE EUCNC&6G Summit 2023.

April 2023 · Baptiste CHATELIER, Vincent CORLAY, Cristina CIOCHINA, Fallou CORLY, Julien GUILLET
Hierarchical atom search

Efficient Deep Unfolding for SISO-OFDM Channel Estimation

This paper presents an improved unfolded MP algorithm for SISO-OFDM channel estimation. Published in IEEE ICC 2023.

October 2022 · Baptiste CHATELIER, Luc LE MAGOAROU, Getachew REDIETEAB
AF under PN

On the Impact of Phase Noise on Beamforming Performance for mmWave Massive MIMO Systems

This paper reviews the impact of phase noise on the array factor. Published in IEEE WCNC 2023.

April 2022 · Baptiste CHATELIER, Matthieu CRUSSIERE