1 citations · 1 across the 11 of their papers we have counts for
11 papers
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…
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…
Enhancing RSS-Based Visible Light Positioning by Optimal Calibrating the LED Tilt and Gain
Fan Wu, Nobby Stevens, Lieven De Strycker +1
This paper presents an optimal calibration scheme and a weighted least squares (LS) localization algorithm for received signal strength (RSS) based visible light positioning (VLP)…
Grant-Free Random Access of IoT devices in Massive MIMO with Partial CSI
Gilles Callebaut, François Rottenberg, Liesbet Van der Perre +1
The number of wireless devices is drastically increasing, resulting in many devices contending for radio resources. In this work, we present an algorithm to detect active devices f…
Linear Precoder Design in Massive MIMO under Realistic Power Amplifier Consumption Constraint
Emanuele Peschiera, François Rottenberg
The energy consumption of wireless networks is a growing concern. In massive MIMO systems, which are being increasingly deployed as part of the 5G roll-out, the power amplifiers in…
Array Placement in Distributed Massive MIMO for Power Saving considering Environment Information
Yi-Hang Zhu, Gilles Callebaut, Liesbet Van der Perre +1
Distributed massive MIMO (D-mMIMO) has been considered for future networks as it holds the potential to offer superior capacity while enabling energy savings in the network. A D-mM…
Z3RO Precoder Canceling Nonlinear Power Amplifier Distortion in Large Array Systems
François Rottenberg, Gilles Callebaut, Liesbet Van der Perre
Large array-based transmission uses the combination of a massive number of antenna elements and clever precoder designs to achieve array gain and spatially multiplex different user…
Grant-Free Random Access in Massive MIMO for Static Low-Power IoT Nodes
Gilles Callebaut, Liesbet Van der Perre, François Rottenberg
Massive MIMO is a promising technology to enable a massive number of Internet of Things nodes to transmit short and sporadic data bursts at low power. In conventional cellular netw…
Spatial Distribution of Distortion due to Nonlinear Power Amplification in Distributed Massive MIMO
François Rottenberg, Gilles Callebaut, Liesbet Van der Perre
Due to the nonlinearity of power amplifiers (PAs), the transmit signal is distorted. Previous works have studied the spatial distribution of this distortion for a central massive M…
How Many Antennas Do We Need for Massive MIMO Channel Sounding? - Validating Through Measurement
Thomas Choi, François Rottenberg, Peng Luo +2
This paper investigates the impact of the number of antennas (8 to 64) and the array configuration on massive MIMO channel parameters estimation for multiple propagation scenarios…