96 citations · 347 across the 23 of their papers we have counts for
24 papers
Deep Unfolding for Fast Linear Massive MIMO Precoders under a PA Consumption Model
Thomas Feys, Xavier Mestre, Emanuele Peschiera +1
Massive multiple-input multiple-output (MIMO) precoders are typically designed by minimizing the transmit power subject to a quality-of-service (QoS) constraint. However, current s…
Self-Supervised Learning of Linear Precoders under Non-Linear PA Distortion for Energy-Efficient Massive MIMO Systems
Thomas Feys, Xavier Mestre, François Rottenberg
Massive multiple input multiple output (MIMO) systems are typically designed under the assumption of linear power amplifiers (PAs). However, PAs are typically most energy-efficient…
Floor Map Reconstruction Through Radio Sensing and Learning By a Large Intelligent Surface
Cristian J. Vaca-Rubio, Roberto Pereira, Xavier Mestre +4
Environmental scene reconstruction is of great interest for autonomous robotic applications, since an accurate representation of the environment is necessary to ensure safe interac…
Beam Aware Stochastic Multihop Routing for Flying Ad-hoc Networks
Anay Ajit Deshpande, Roberto Pereira, Federico Chiariotti +3
Routing is a crucial component in the design of Flying Ad-Hoc Networks (FANETs). State of the art routing solutions exploit the position of Unmanned Aerial Vehicles (UAVs) and thei…
User Clustering for Rate Splitting using Machine Learning
Roberto Pereira, Anay Ajit Deshpande, Cristian J. Vaca-Rubio +5
Hierarchical Rate Splitting (HRS) schemes proposed in recent years have shown to provide significant improvements in exploiting spatial diversity in wireless networks and provide h…
Exclusive Group Lasso for Structured Variable Selection
David Gregoratti, Xavier Mestre, Carlos Buelga
A structured variable selection problem is considered in which the covariates, divided into predefined groups, activate according to sparse patterns with few nonzero entries per gr…