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eess.SP2026

When Distortion Helps: Secure GNN Precoding with Nonlinear Power Amplifiers

Reza Ghasemi Alavicheh, Thomas Feys, Md Arifur Rahman +1

Physical layer security (PLS) provides information-theoretic protection against eavesdropping. While existing techniques assume ideal linear transmitters, power amplifiers (PAs) in…

eess.SP2026

An Open-Source Hardware-Aware Sub-THz Radio-Stripe Simulator

Tijl Schepens, Thomas Feys, Thomas Eriksson +1

Sub-Terahertz radio-stripe and distributed MIMO architectures promise extreme spatial reuse and multi-GHz bandwidths, but the cascaded fiber front-haul and RF hardware impairments…

eess.SP2026

Testbed Evaluation of AI-based Precoding in Distributed MIMO Systems

Tianzheng Miao, Thomas Feys, Gilles Callebaut +3

Distributed MIMO (D-MIMO) has emerged as a key architecture for future sixth-generation (6G) networks, enabling cooperative transmission across spatially distributed access points…

eess.SP2025

Leveraging Power Amplifier Distortion for Physical Layer Security

Reza Ghasemi Alavicheh, Thomas Feys, MD Arifur Rahman +1

This paper introduces a new approach to physical layer security (PLS) by leveraging power amplifier (PA) nonlinear distortion through distortion-aware precoding. While some convent…

eess.SP2025

GNN-based Precoder Design and Fine-tuning for Cell-free Massive MIMO with Real-world CSI

Tianzheng Miao, Thomas Feys, Gilles Callebaut +4

Cell-free massive MIMO (CF-mMIMO) has emerged as a promising paradigm for delivering uniformly high-quality coverage in future wireless networks. To address the inherent challenges…

eess.SP2024

Optimal Training Design for Over-the-Air Polynomial Power Amplifier Model Estimation

François Rottenberg, Thomas Feys, Nuutti Tervo

The current evolution towards a massive number of antennas and a large variety of transceiver architectures forces to revisit the conventional techniques used to improve the fundam…