Cédric Le Ruyet

Cédric Le Ruyet is a prominent researcher at the Conservatoire National des Arts et Métiers (CNAM), affiliated with the CEDRIC Laboratory. His work spans Wireless Communications, Signal Processing, and 5G/6G Network Design, with a focus on Filter Bank Multicarrier (FBMC) systems, MIMO, and Cognitive Radio. He collaborates extensively with institutions like CEA-LETI and CNAM.

His research interests include Channel Modeling, Resource Allocation, Beamforming, and Machine Learning in wireless contexts. He has contributed to Reconfigurable Intelligent Surfaces (RIS) for beam optimization and SCMA/OFDM codebook design.

Recent publications highlight his work on QAM-FBMC systems, Rayleigh Fading Models, and 5G Network Coexistence. His articles often explore Distributed MIMO, Low-Complexity Equalizers, and Indoor Positioning via Channel State Information (CSI).

He has authored numerous IEEE Transactions and conference papers, with technical reports for projects like ANR POSEIDON and NF-PERSEUS. His methodologies integrate Genetic Algorithms, Lattice-Reduction, and Deep Learning for next-gen wireless systems.