9 papers
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…
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…
The environmental impact of ICT in the era of data and artificial intelligence
François Rottenberg, Thomas Feys, Liesbet Van der Perre
The technology industry promotes artificial intelligence (AI) as a key enabler to solve a vast number of problems, including the environmental crisis. However, when looking at the…
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…
Learning to Quantize and Precode in Massive MIMO Systems for Energy Reduction: a Graph Neural Network Approach
Thomas Feys, Liesbet Van der Perre, François Rottenberg
Massive MIMO systems are moving toward increased numbers of radio frequency chains, higher carrier frequencies and larger bandwidths. As such, digital-to-analog converters (DACs) a…
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…
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…
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…
Toward Energy-Efficient Massive MIMO: Graph Neural Network Precoding for Mitigating Non-Linear PA Distortion
Thomas Feys, Liesbet Van der Perre, François Rottenberg
Massive MIMO systems are typically designed assuming linear power amplifiers (PAs). However, PAs are most energy efficient close to saturation, where non-linear distortion arises.…