6 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…
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…
OWP-IMU: An RSS-based Optical Wireless and IMU Indoor Positioning Dataset
Fan Wu, Jorik De Bruycker, Daan Delabie +3
Received signal strength (RSS)-based optical wireless positioning (OWP) systems are becoming popular for indoor localization because they are low-cost and accurate. However, few op…
On Optimizing Time-, Space- and Power-Domain Energy-Saving Techniques for Sub-6 GHz Base Stations
Emanuele Peschiera, Youssef Agram, François Quitin +2
What is the optimal base station (BS) resource allocation strategy given a measurement-based power consumption model and a fixed target user rate? Rush-to-sleep in time, rush-to-mu…