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Model-based learning for joint channel estimation and hybrid MIMO precoding
Hybrid precoding is a key ingredient of cost-effective massive multiple-input multiple-output transceivers. However, setting jointly …
Nay Klaimi, Amira Bedoui, Clément Elvira, Philippe Mary, Luc Le Magoarou
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Benefits of Mutual Coupling in Dynamic Metasurface Antennas for Optimizing Wireless Communications, Theory and Experimental Validation
Dynamic metasurface antennas (DMAs) are a promising embodiment of next-generation reconfigurable antenna technology to realize base …
Hugo Prod'homme, Jean Tapie, Luc Le Magoarou, Philipp del Hougne
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Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays
Direction of arrival (DoA) estimation is a common sensing problem in radar, sonar, audio, and wireless communication systems. It has …
Baptiste Chatelier, José Miguel Mateos-Ramos, Vincent Corlay, Christian Häger, Matthieu Crussière, Henk Wymeersch, Luc Le Magoarou
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Efficient Frequency Selective Surface Analysis via End-to-End Model-Based Learning
This paper introduces an innovative end-to-end model-based deep learning approach for efficient electromagnetic analysis of …
Cheima Hammami, Lucas Polo-López, Luc Le Magoarou
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Unsupervised Learning for Gain-Phase Impairment Calibration in ISAC Systems
Gain-phase impairments (GPIs) affect both communication and sensing in 6G integrated sensing and communication (ISAC). We study the …
José Miguel Mateos-Ramos, Christian Häger, Musa Furkan Keskin, Luc Le Magoarou, Henk Wymeersch
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Model-based learning for multi-antenna multi-frequency location-to-channel mapping
Years of study of the propagation channel showed a close relation between a location and the associated communication channel response. …
Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Luc Le Magoarou
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Optimal blind focusing on perturbation-inducing targets in sub-unitary complex media
The scattering of waves in a complex medium is perturbed by polarizability changes or motion of embedded targets. These perturbations …
Jérôme Sol, Luc Le Magoarou, Philipp del Hougne
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Model-based Deep Learning for Beam Prediction based on a Channel Chart
Channel charting builds a map of the radio environment in an unsupervised way. The obtained chart locations can be seen as …
Taha Yassine, Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Stéphane Paquelet, Olav Tirkkonen, Luc Le Magoarou
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Semi-Supervised End-to-End Learning for Integrated Sensing and Communications
Integrated sensing and communications (ISAC) is envisioned as one of the key enablers of next-generation wireless systems, offering …
José Miguel Mateos-Ramos, Baptiste Chatelier, Christian Häger, Musa Furkan Keskin, Luc Le Magoarou, Henk Wymeersch
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Optimizing Multicarrier Multiantenna Systems for LoS Channel Charting
Channel charting (CC) consists in learning a mapping between the space of raw channel observations, made available from pilot-based …
Taha Yassine, Luc Le Magoarou, Matthieu Crussière, Stéphane Paquelet
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