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Thomas Feys
Thomas Feys
PhD student at KU Leuven
Verified email at kuleuven.be - Homepage
Title
Cited by
Cited by
Year
Self-Supervised Learning of Linear Precoders Under Non-Linear PA Distortion for Energy-Efficient Massive MIMO Systems
T Feys, X Mestre, F Rottenberg
ICC 2023-IEEE International Conference on Communications, 6367-6372, 2023
32023
Measurement-based validation of Z3RO precoder to prevent nonlinear amplifier distortion in massive MIMO systems
T Feys, G Callebaut, L Van der Perre, F Rottenberg
2022 IEEE 95th Vehicular Technology Conference:(VTC2022-Spring), 1-5, 2022
32022
Initial assessment of architectures and hardware resources for a RadioWeaves infrastructure
O Edfors, R Brazil, H Petautschnig, G Callebaut, T Feys, L Van der Perre, ...
32022
Low-cost synchronization for WLAN Sensors
T Feys, S Crul, G Ottoy
2020 IEEE SENSORS, 1-4, 2020
12020
Optimal Training Design for Over-the-Air Polynomial Power Amplifier Model Estimation
F Rottenberg, T Feys, N Tervo
arXiv preprint arXiv:2404.12830, 2024
2024
Toward Energy-Efficient Massive MIMO: Graph Neural Network Precoding for Mitigating Non-Linear PA Distortion
T Feys, L Van der Perre, F Rottenberg
arXiv preprint arXiv:2312.04591, 2023
2023
Deep Unfolding for Fast Linear Massive MIMO Precoders under a PA Consumption Model
T Feys, X Mestre, E Peschiera, F Rottenberg
2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 1-5, 2023
2023
Evaluating neural network based time series classification architectures for side-channel attacks
T Feys
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Articles 1–8