Thomas Feys

Engineering · Physical Sciences

2h-index20citations24works0.82yr avg
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Research Topics

Advanced MIMO Systems Optimization(11), Advanced Power Amplifier Design(8), Energy Harvesting in Wireless Networks(7), Radio Frequency Integrated Circuit Design(3), IoT and Edge/Fog Computing(2)

Publications24 total

The environmental impact of ICT in the era of data and artificial intelligence
arXiv (Cornell University)·2026Open Access
The environmental impact of ICT in the era of data and artificial intelligence
ArXiv.org·2026Open Access
Leveraging Power Amplifier Distortion for Physical Layer Security
2025Open Access
Learning to Quantize and Precode in Massive MIMO Systems for Energy Reduction: A Graph Neural Network Approach
IEEE Journal of Selected Topics in Signal Processing·2025Open Access
Learning to Quantize and Precode in Massive MIMO Systems for Energy Reduction: a Graph Neural Network Approach
arXiv (Cornell University)·2025Open Access
Leveraging Power Amplifier Distortion for Physical Layer Security
arXiv (Cornell University)·2025Open Access
Self-Supervised Learning of Graph Neural Networks for Precoding in 1-bit Quantized Large Array Systems
2025
Graph Neural Networks for Hybrid Beamforming in MIMO Rate Splitting Multiple Access
2025Open Access
Corrections to “Echoes of Accuracy: Enhancing Ultrasonic Indoor Positioning for Energy-Neutral Devices With Neural Network Approaches”
IEEE Journal of Indoor and Seamless Positioning and Navigation·2025Open Access
Echoes of Accuracy: Enhancing Ultrasonic Indoor Positioning for Energy-Neutral Devices With Neural Network Approaches
IEEE Journal of Indoor and Seamless Positioning and Navigation·2025· 2 citedOpen Access
Position Dependent Anchor Selection for Scalable Hybrid RF-Acoustic Indoor Positioning
2024· 1 citedOpen Access
Toward Energy-Efficient Massive MIMO: Graph Neural Network Precoding for Mitigating Non-Linear PA Distortion
IEEE Transactions on Cognitive Communications and Networking·2024· 7 citedOpen Access
Optimal Training Design for Over-the-Air Polynomial Power Amplifier Model Estimation
arXiv (Cornell University)·2024Open Access
Toward Energy-Efficient Massive MIMO: Graph Neural Network Precoding for Mitigating Non-Linear PA Distortion
arXiv (Cornell University)·2023Open Access
Deep Unfolding for Fast Linear Massive MIMO Precoders under a PA Consumption Model
2023· 1 citedOpen Access
Self-Supervised Learning of Linear Precoders Under Non-Linear PA Distortion for Energy-Efficient Massive MIMO Systems
2023· 2 citedOpen Access
Deep Unfolding for Fast Linear Massive MIMO Precoders under a PA Consumption Model
arXiv (Cornell University)·2023Open Access
Self-Supervised Learning of Linear Precoders under Non-Linear PA Distortion for Energy-Efficient Massive MIMO Systems
arXiv (Cornell University)·2022Open Access
Measurement-Based Validation of Z3RO Precoder to Prevent Nonlinear Amplifier Distortion in Massive MIMO Systems
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)·2022· 3 cited
Measurement-Based Validation of Z3RO Precoder to Prevent Nonlinear Amplifier Distortion in Massive MIMO Systems
arXiv (Cornell University)·2022Open Access
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Frequent Co-authors

François Rottenberg(17), Liesbet Van der Perre(11), Xavier Mestre(5), Gilles Callebaut(3), Daan Delabie(3), Bert Cox(3), Lieven De Strycker(3), Ove Edfors(2), Chesney Buyle(2), Pol Specenier(2), Emanuele Peschiera(2), Liesbet Van der Perre(2), Reza Ghasemi Alavicheh(2), Muhammad Asad Rahman(2), Romulo Brazil(1), Herbert Petautschnig(1), Erik G. Larsson(1), Emma Fitzgerald(1), Liang Liu(1), Jesús Rodríguez Sánchez(1)