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 | 3 | 2023 |
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 | 3 | 2022 |
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, ... | 3 | 2022 |
Low-cost synchronization for WLAN Sensors T Feys, S Crul, G Ottoy 2020 IEEE SENSORS, 1-4, 2020 | 1 | 2020 |
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 | | |