306 citations
- Institut National des Sciences Appliquées de RennesFR29 papers
- Centre National de la Recherche ScientifiqueFR23 papers
- Université de RennesFR16 papers
- CentraleSupélecFR9 papers
- Orange (France)FR5 papers
- Institut de Recherche Technologique B-comFR4 papers
- Université Européenne de BretagneFR4 papers
- Laboratoire d'Analyse et d'Architecture des SystèmesFR3 papers
- Merck Serono S.A.S. (France)FR3 papers
- SupélecFR3 papers
- IMT AtlantiqueFR2 papers
- Institut PascalFR2 papers
11 papers · 1 filter
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…
On the Design of an Optimal Multi-Tone Jammer Against the Wiener Interpolation Filter
Corentin Fonteneau
In the context of civilian and military communications, anti-jamming techniques are essential to ensure information integrity in the presence of malicious interference. A conventio…
Physically constrained unfolded multi-dimensional OMP for large MIMO systems
Nay Klaimi, Clément Elvira, Philippe Mary +1
Sparse recovery methods are essential for channel estimation and localization in modern communication systems, but their reliability relies on accurate physical models, which are r…
Average and Worst-case Analysis of MIMO Beamforming Loss due to Hardware Impairments
Xuan Chen, Matthieu Crussière, Luc Le Magoarou
In this paper, we investigate the impact of hardware impairments in antenna arrays on the beamforming performance of multi-input multi-output (MIMO) communication systems. We consi…
Model-based Implicit Neural Representation for sub-wavelength Radio Localization
Baptiste Chatelier, Vincent Corlay, Musa Furkan Keskin +3
The increasing deployment of large antenna arrays at base stations has significantly improved the spatial resolution and localization accuracy of radio-localization methods. Howeve…
Model-based learning for joint channel estimationand hybrid MIMO precoding
Nay Klaimi, Amira Bedoui, Clément Elvira +2
Hybrid precoding is a key ingredient of cost-effective massive multiple-input multiple-output transceivers. However, setting jointly digital and analog precoders to optimally serve…