4 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…
Optimization of Sparse VLSF Codes for Short-Packet Transmission via Saddlepoint Methods
Guodong Sun, Samir M. Perlaza, Philippe Mary +1
In this work, we present an optimization framework for sparse variable-length stop-feedback (VLSF) codes based on a saddlepoint approximation, which jointly optimizes the decoding…
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…
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…