M
Miguel A. Salas-Natera
Researcher at Technical University of Madrid
Publications - 21
Citations - 148
Miguel A. Salas-Natera is an academic researcher from Technical University of Madrid. The author has contributed to research in topics: Active antenna & Computer science. The author has an hindex of 5, co-authored 15 publications receiving 82 citations. Previous affiliations of Miguel A. Salas-Natera include Complutense University of Madrid.
Papers
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Journal ArticleDOI
Procedure for Measurement, Characterization, and Calibration of Active Antenna Arrays
TL;DR: The GEOdesic Dome Antenna is an interesting design for efficient satellite-tracking prototypes based on 45 elements active antenna arrays manufactured by the Radiation Group of the Technical University of Madrid, resulting in the proposal of a new efficient procedure for calibration.
Journal ArticleDOI
Convolutional Neural Networks for Flexible Payload Management in VHTS Systems
Flor G. Ortiz-Gomez,Daniele Tarchi,Ramón Martínez,Alessandro Vanelli-Coralli,Miguel A. Salas-Natera,Salvador Landeros-Ayala +5 more
TL;DR: The use of convolutional neural networks (CNNs) to manage the resources available in flexible payload architectures for DRM is analyzed, and a comparison between different payload architectures is performed in terms of DRM response.
Journal ArticleDOI
Machine Learning for Radio Resource Management in Multibeam GEO Satellite Systems
Flor G. Ortiz-Gomez,Lei Lei,Eva Lagunas,Ramón Gutiérrez Martínez,Daniele Tarchi,Jorge Querol,Miguel A. Salas-Natera,Symeon Chatzinotas +7 more
TL;DR: This paper focuses on two systems, one with power, bandwidth, and/or beamwidth flexibility, and the second with time flexibility, i.e., beam hopping, and analyzes and compares different ML techniques that have been proposed for these architectures.
Journal ArticleDOI
Analytical Evaluation of Uncertainty on Active Antenna Arrays
TL;DR: The aim of the uncertainties analysis is to provide an exhaustive characterization of the behavior of the active antenna array associated with its main uncertainty sources and the result of this analysis helps to select the proper calibration technique to be implemented.
Book ChapterDOI
Adaptive Resources Allocation for Flexible Payload Enabling VHTS Systems: Methodology and Architecture
Flor G. Ortiz-Gomez,R. Martinez Rodriguez-Osorio,Miguel A. Salas-Natera,Salvador Landeros-Ayala +3 more
TL;DR: This contribution presents the study of a flexible payload concept, the methodology for the adaptive algorithm to be used during the on-line or off-line processes for optimal resources allocation and the architecture for adaptive resources allocation as well with a set of preliminary results.