3 papers
eess.SP2026
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…
eess.SP2026
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…
eess.SP2025
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…