5 papers
Multi-dimensional hierarchical dictionary search for large MIMO-OFDM systems
Nay Klaimi, Philippe Mary, Luc Le Magoarou
Sparse recovery algorithms are of utmost importance for estimation processes in wireless communications. However, communication systems such as massive multiple input multiple outp…
Optimal blind focusing on perturbation-inducing targets in sub-unitary complex media
Jérôme Sol, Luc Le Magoarou, Philipp del Hougne
The scattering of waves in a complex medium is perturbed by polarizability changes or motion of embedded targets. These perturbations could serve as perfectly non-invasive guidesta…
Semi-Supervised End-to-End Learning for Integrated Sensing and Communications
José Miguel Mateos-Ramos, Baptiste Chatelier, Christian Häger +3
Integrated sensing and communications (ISAC) is envisioned as one of the key enablers of next-generation wireless systems, offering improved hardware, spectral, and energy efficien…
Model-based Deep Learning for High-Dimensional Periodic Structures
Lucas Polo-López, Luc Le Magoarou, Romain Contreres +1
This work presents a deep learning surrogate model for the fast simulation of high-dimensional frequency selective surfaces. We consider unit-cells which are built as multiple conc…
Model-based learning for location-to-channel mapping
Baptiste Chatelier, Luc Le Magoarou, Vincent Corlay +1
Modern communication systems rely on accurate channel estimation to achieve efficient and reliable transmission of information. As the communication channel response is highly rela…