Baptiste CHATELIER

Baptiste CHATELIER

PhD Candidate in Wireless Communications and Artificial Intelligence

Mitsubishi Electric R&D Centre Europe (MERCE)

IETR

National Institute of Applied Sciences (INSA)

Biography

I am currently pursuing a PhD degree with Mitsubishi Electric R&D Centre Europe (MERCE) (Rennes, France) and IETR, INSA Rennes (Rennes, France) under the supervision of Luc LE MAGOAROU, Matthieu CRUSSIERE and Vincent CORLAY. My subject title is “Frugal AI for communication/localization convergence”.

Prior to that I received the Electronics and Telecommunications engineering master’s degree (M.Sc. equivalent) from the National Institute of Applied Sciences (INSA), Rennes, France and the research master’s degree (M.Sc.) in Microtechnologies, Architecture, Communication Networks and Systems also from INSA Rennes in 2022. I did my End-Of-Studies project at the Institute of Research and Technology b<>com (Rennes, France) where I was working on SISO-OFDM channel estimation using model-based machine learning techniques.

Interests
  • Signal processing
  • Applied mathematics
  • Wireless communications
  • Artificial Intelligence
Education
  • M.Sc. in Electronics and Telecommunications Engineering, 2017-2022

    National Institute of Applied Sciences, Rennes (INSA)

  • M.Sc. in Microtechnologies, Architecture, Communication Networks and Systems (Research master), 2021-2022

    National Institute of Applied Sciences, Rennes (INSA)

Preprints

(2023). Semi-Supervised End-to-End Learning for Integrated Sensing and Communications. Preprint.

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Published papers

(2024). Model-based learning for location-to-channel mapping. In 2024 IEEE ICASSP.

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(2023). Model-based Deep Learning for Beam Prediction based on a Channel Chart. In 2023 IEEE Asilomar.

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(2023). Cartographie du canal par réduction de dimension et réseaux triplets. In 2023 GRETSI.

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(2023). Influence of Dataset Parameters on the Performance of Direct UE Positioning via Deep Learning. In 2023 EuCNC & 6G Summit.

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(2022). Efficient Deep Unfolding for SISO-OFDM Channel Estimation. In 2023 IEEE ICC.

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(2022). On the Impact of Phase Noise on Beamforming Performance for mmWave Massive MIMO Systems. In 2022 IEEE WCNC.

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