4 papers · 1 filter
Deterministic Equivalent of the Log-Euclidean Distance between Sample Covariance Matrices
Xavier Mestre, Roberto Pereira
Log-Euclidean distances are commonly used to quantify the similarity between positive definite matrices using geometric considerations. This paper analyzes the behavior of this dis…
Statistical Framework for Clustering MU-MIMO Wireless via Second Order Statistics
Roberto Pereira, Xavier Mestre
This work explores the clustering of wireless users by examining the distances between their channel covariance matrices, which reside on the Riemannian manifold of positive defini…
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…
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…