Hybrid Deep Learning Decoder for Satellite Communication Systems

April 13, 2026·
Carla E. García
,
Mario R. Camana
,
Marcele O. K. Mendonça
,
Jorge Querol
,
Symeon Chatzinotas
· 1 min read
DOI
Abstract
This research contribution by Carla E. García, Mario R. Camana, Marcele O. K. Mendonça, Jorge Querol et al. (2026), published in IEEE Wireless Communications and Networking Conference Workshops (WCNCW), investigates “Hybrid Deep Learning Decoder for Satellite Communication Systems” within the domains of Satellite Communications, AI & Neuromorphic SatCom. The work is part of Dr. Jorge Querol’s research portfolio in advanced satellite communications, non-terrestrial networks (NTN), and radio-frequency signal processing at SnT (University of Luxembourg) and UPC-BarcelonaTech.
Type
Publication
IEEE Wireless Communications and Networking Conference Workshops (WCNCW)
publication

Abstract & Overview

This research contribution by Carla E. García, Mario R. Camana, Marcele O. K. Mendonça, Jorge Querol et al. (2026), published in IEEE Wireless Communications and Networking Conference Workshops (WCNCW), investigates “Hybrid Deep Learning Decoder for Satellite Communication Systems” within the domains of Satellite Communications, AI & Neuromorphic SatCom. The work is part of Dr. Jorge Querol’s research portfolio in advanced satellite communications, non-terrestrial networks (NTN), and radio-frequency signal processing at SnT (University of Luxembourg) and UPC-BarcelonaTech.

Publication Metadata

  • Authors: Carla E. García, Mario R. Camana, Marcele O. K. Mendonça, Jorge Querol, Symeon Chatzinotas
  • Venue: IEEE Wireless Communications and Networking Conference Workshops (WCNCW) (2026)
  • Research Areas: Satellite Communications, AI & Neuromorphic SatCom
  • DOI: 10.1109/wcncw67598.2026.11555163
Satellite Communications AI & Neuromorphic SatCom