Luc Le Magoarou

Luc Le Magoarou

Associate Professor

INSA Rennes

I am an associate professor in the electronics and telecommuniciations (E&T) department at the national institute of applied sciences (INSA Rennes), France. My research interests include signal processing, machine learning and applied mathematics for efficient and frugal wireless communication systems. For a brief introduction to my research activities, see this talk.

Interests
  • Signal Processing
  • Machine Learning
  • Applied Mathematics
  • Wireless Communications
Education

  • PhD in signal and image processing, 2016

    INSA Rennes / Inria

  • MEng in telecommunications, 2013

    INSA Rennes

News

New preprint on blind focusing
A new preprint entitled Optimal blind focusing on perturbation-inducing targets in sub-unitary complex media just appeared on arXiv. This is a joint work with Philipp del Hougne and his team, in which a physical model is used to perform conjugate beamforming without any pilot exchange.
Last updated on Jan 30, 2024 1 min read
New preprint on blind focusing
New preprint on channel charting for beam selection
A new preprint entitled Model-based Deep Learning for Beam Prediction based on a Channel Chart just appeared on arXiv. It shows that channel charting can be used to accelerate beam selection or precoding in cell-free massive MIMO systems.
Last updated on Dec 8, 2023 1 min read
New preprint on channel charting for beam selection
New preprint on integrated sensing and communications
A new preprint entitled Semi-Supervised End-to-End Learning for Integrated Sensing and Communications just appeared on arXiv. It shows that unlabelled data can greatly enhance the performance of end-to-end learned ISAC transceivers.
Last updated on Oct 20, 2023 1 min read
New preprint on integrated sensing and communications
New preprint on channel charting
A new preprint entitled Optimizing Multicarrier Multiantenna Systems for LoS Channel Charting just appeared on arXiv. It shows that the subcarriers and antennas can be optimized jointly to ease channel charting in a LoS setting.
Last updated on Oct 10, 2023 1 min read
New preprint on channel charting
New preprint out
A new preprint entitled Model-based Deep Learning for High-Dimensional Periodic Structures just appeared on arXiv. It shows that model-based learning using equivalent circuits can be leveraged to make the simulation of frequency selective surfaces (FSS) faster.
Last updated on Sep 22, 2023 1 min read
New preprint out
See all posts

Projects

MoBAIWL
Model-Based frugal AI for efficient WireLess communication systems
MoBAIWL

Publications

Quickly discover relevant content by filtering publications.
Jérôme Sol, Luc Le Magoarou, Philipp del Hougne (2024). Optimal blind focusing on perturbation-inducing targets in sub-unitary complex media.

Cite arXiv

Taha Yassine, Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Stéphane Paquelet, Olav Tirkkonen, Luc Le Magoarou (2023). Model-based Deep Learning for Beam Prediction based on a Channel Chart.

Cite arXiv

José Miguel Mateos-Ramos, Baptiste Chatelier, Christian Häger, Musa Furkan Keskin, Luc Le Magoarou, Henk Wymeersch (2023). Semi-Supervised End-to-End Learning for Integrated Sensing and Communications.

Cite arXiv

Taha Yassine, Luc Le Magoarou, Matthieu Crussière, Stéphane Paquelet (2023). Optimizing Multicarrier Multiantenna Systems for LoS Channel Charting.

Cite arXiv

Lucas Polo-López, Luc Le Magoarou, Romain Contreres, María García-Vigueras (2023). Model-based Deep Learning for High-Dimensional Periodic Structures.

Cite arXiv

See all publications

Students

Cheima Hammami (Msc 2024): Model-based deep learning for efficient electromagnetic modelling of high-dimensional frequency selective surfaces

Amira Bedoui (Msc 2024): Joint channel estimation and precoder design in hybrid MIMO systems

Steve Sawadogo (PhD 2023-2026): Distributed MIMO beamforming for secure communications

Kenaz Boa (PhD 2023-2026): Efficient data processing with realistic physical models for reconfigurable intelligent surfaces

Baptiste Chatelier (PhD 2023-2026): Model-based learning for integrated sensing and communication

Taha Yassine (PhD 2020-2024): Model-based learning for channel estimation and charting