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 paper on deep unfolding for channel estimation and precoding accepted at SPAWC
A new preprint entitled Model-based learning for joint channel estimation and hybrid MIMO precoding just appeared on arXiv, and it has been accepted to SPAWC. In this paper, iterative algorithms are transformed into neural networks to adress jointly the tasks of channel estimation and precoding.
Last updated on May 27, 2025 1 min read
New paper on deep unfolding for channel estimation and precoding accepted at SPAWC
Paper accepted to IEEE JSTSP
Our paper entitled Model-based learning for multi-antenna multi-frequency location-to-channel mapping has just been accepted to the IEEE Journal of Selected Topics on Signal Processing ( Editor link). It shows that a physically-inspired neural network can faithfully reconstruct channel responses in a given environment with a reasonable number of learnable weights.
Last updated on Mar 21, 2025 1 min read
Paper accepted to IEEE JSTSP
New preprint on dynamic metasurface antenna analysis
A new preprint entitled Benefits of Mutual Coupling in Dynamic Metasurface Antennas for Optimizing Wireless Communications – Theory and Experimental Validation just appeared on arXiv. This is a joint work with Philipp del Hougne and his team, in which a physical model is used to analyze the impact of mutual coupling on both the strength and simplicity of the configuration/radiation pattern mapping.
Last updated on Mar 21, 2025 1 min read
New preprint on dynamic metasurface antenna analysis
Papers accepted to ICASSP, EuCAP, ICC and TWC
A few papers have been accepted in the last few weeks: Efficient Frequency Selective Surface Analysis via End-to-End Model-Based Learning has been accepted to EuCAP 2025. Unsupervised Learning for Gain-Phase Impairment Calibration in ISAC Systems has been accepted to IEEE ICASSP 2025.
Last updated on Jan 24, 2025 1 min read
Papers accepted to ICASSP, EuCAP, ICC and TWC
New preprint on source localization with hardware impairment
A new preprint entitled Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays just appeared on arXiv. It is a collaboration with Henk Wymeersch’s team at Chalmers University (Baptiste Chatelier works currently there) which shows that antenna impairments can be learnt while using a subspace method for source localization.
Last updated on Nov 29, 2024 1 min read
New preprint on source localization with hardware impairment
See all posts

Projects

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

Publications

Quickly discover relevant content by filtering publications.
Nay Klaimi, Amira Bedoui, Clément Elvira, Philippe Mary, Luc Le Magoarou (2025). Model-based learning for joint channel estimation and hybrid MIMO precoding.

Cite arXiv URL

Arad Gast, Luc Le Magoarou, Nir Shlezinger (2025). DCD-MUSIC: Deep-Learning-Aided Cascaded Differentiable MUSIC Algorithm for Near-Field Localization of Multiple Sources. ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Cite DOI

José Miguel Mateos-Ramos, Christian Häger, Musa Furkan Keskin, Luc Le Magoarou, Henk Wymeersch (2025). Unsupervised Learning for Gain-Phase Impairment Calibration in ISAC Systems. ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Cite DOI

Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Luc Le Magoarou (2025). Model-Based Learning for Multi-Antenna Multi-Frequency Location-to-Channel Mapping. IEEE Journal of Selected Topics in Signal Processing.

Cite DOI

Hugo Prod'homme, Jean Tapie, Luc Le Magoarou, Philipp del Hougne (2025). Benefits of Mutual Coupling in Dynamic Metasurface Antennas for Optimizing Wireless Communications, Theory and Experimental Validation.

Cite arXiv URL

See all publications

Students

PhD

Nay Klaimi (PhD 2024-2027): Sparse model-based learning for multi-antenna systems

Cheima Hammami (PhD 2024-2027): Arbitrary beam synthesis with compact reconfigurable holographic surfaces

Hamza Mendil (PhD 2024-2027): Signal processing and learning for co-prime antenna arrays

Yara Kafa (PhD 2024-2027): Energy-efficient resource allocation in cell-free NOMA systems

Hussein Abbas (PhD 2024-2027): Resource allocation and beamforming in cell-free massive MIMO systems using channel charting

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

Msc

Imane Assoum (Msc 2024): Model-based deep learning for 1D passband signal interpolation

Léon Mykolyshyn (Msc 2024): Model-based deep learning for high-dimensional frequency selective surfaces synthesis

Etienne Rault (Msc 2024): Deep unfolding for channel estimation under IQ imbalance

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