Lightweight Deep Learning-Aided LDPC Decoding for 5G NR UAV Communications

May 18, 2026·
Carla E. García
,
Jorge Querol
,
Mario R. Camana
,
Symeon Chatzinotas
· 1 min read
DOI
Abstract
This research contribution by Carla E. García, Jorge Querol, Mario R. Camana, Symeon Chatzinotas (2026), published in IEEE Transactions on Aerospace and Electronic Systems, investigates “Lightweight Deep Learning-Aided LDPC Decoding for 5G NR UAV Communications” within the domains of 6G-NTN, 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 Transactions on Aerospace and Electronic Systems
publication

Abstract & Overview

This research contribution by Carla E. García, Jorge Querol, Mario R. Camana, Symeon Chatzinotas (2026), published in IEEE Transactions on Aerospace and Electronic Systems, investigates “Lightweight Deep Learning-Aided LDPC Decoding for 5G NR UAV Communications” within the domains of 6G-NTN, 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, Jorge Querol, Mario R. Camana, Symeon Chatzinotas
  • Venue: IEEE Transactions on Aerospace and Electronic Systems (2026)
  • Research Areas: 6G-NTN, AI & Neuromorphic SatCom
  • DOI: 10.1109/infocom59046.2026.11571367
6G-NTN AI & Neuromorphic SatCom