Artificial intelligence for satellite communication and non-terrestrial networks: A survey
This paper surveys the application and development of Artificial Intelligence (AI) in Satellite
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …
Machine Learning and Deep Learning powered satellite communications: Enabling technologies, applications, open challenges, and future research directions
A Bhattacharyya, SM Nambiar, R Ojha… - … Journal of Satellite …, 2023 - Wiley Online Library
The recent wave of creating an interconnected world through satellites has renewed interest
in satellite communications. Private and government‐funded space agencies are making …
in satellite communications. Private and government‐funded space agencies are making …
Machine learning for radio resource management in multibeam GEO satellite systems
Satellite communications (SatComs) systems are facing a massive increase in traffic
demand. However, this increase is not uniform across the service area due to the uneven …
demand. However, this increase is not uniform across the service area due to the uneven …
Precoding for high throughput satellite communication systems: A survey
M Khammassi, A Kammoun… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
With the expanding demand for high data rates and extensive coverage, high throughput
satellite (HTS) communication systems are emerging as a key technology for future …
satellite (HTS) communication systems are emerging as a key technology for future …
Unsupervised learning for user scheduling in multibeam precoded geo satellite systems
Future generation SatCom multibeam architectures will extensively exploit full-frequency
reuse schemes together with interference management techniques, such as precoding, to …
reuse schemes together with interference management techniques, such as precoding, to …
An auction approach to aircraft bandwidth scheduling in non-terrestrial networks
Internet Service has witnessed only limited deployment on commercial flights, where
network infrastructure is lacking and subscription fees are high. It is natural to design an …
network infrastructure is lacking and subscription fees are high. It is natural to design an …
Harnessing Supervised Learning for Adaptive Beamforming in Multibeam Satellite Systems
In today's ever-connected world, the demand for fast and widespread connectivity is
insatiable, making multibeam satellite systems an indispensable pillar of modern …
insatiable, making multibeam satellite systems an indispensable pillar of modern …
Flexible Payload Configuration for Satellites using Machine Learning
MOK Mendonça, FG Ortiz-Gomez… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Satellite communications, essential for modern connectivity, extend access to maritime,
aeronautical, and remote areas where terrestrial networks are unfeasible. Current GEO …
aeronautical, and remote areas where terrestrial networks are unfeasible. Current GEO …
Learning to Optimize Satellite Flexible Payloads
MÁ Vázquez, P Henarejos… - 2022 30th European …, 2022 - ieeexplore.ieee.org
This paper proposes an optimization technique for satellite systems with flexible payloads.
Unlike current satellites whose per-beam capacity is fixed, forthcoming payloads will have …
Unlike current satellites whose per-beam capacity is fixed, forthcoming payloads will have …
[PDF][PDF] A review of the applications of artificial intelligence in improving the performance of integrated space-air and ground networks
According to the technical specifications of the future generations of telecommunication,
which should provide new services, the use of hybrid networks space-air-ground is …
which should provide new services, the use of hybrid networks space-air-ground is …