Advancements and challenges in machine learning: A comprehensive review of models, libraries, applications, and algorithms
In the current world of the Internet of Things, cyberspace, mobile devices, businesses, social
media platforms, healthcare systems, etc., there is a lot of data online today. Machine …
media platforms, healthcare systems, etc., there is a lot of data online today. Machine …
Revolutionizing future connectivity: A contemporary survey on AI-empowered satellite-based non-terrestrial networks in 6G
Non-Terrestrial Networks (NTN) are expected to be a critical component of 6th Generation
(6G) networks, providing ubiquitous, continuous, and scalable services. Satellites emerge as …
(6G) networks, providing ubiquitous, continuous, and scalable services. Satellites emerge as …
Spectrum sharing and interference management for 6g leo satellite-terrestrial network integration
N Heydarishahreza, T Han… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The rapid emergence of satellite systems introduces unprecedented interference challenges
to both existing satellite networks and Terrestrial Networks (TNs), necessitating innovative …
to both existing satellite networks and Terrestrial Networks (TNs), necessitating innovative …
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 …
A vision, survey, and roadmap toward space communications in the 6G and beyond era
Satellite communications (SatComs) have recently been through a renaissance, both
technologically and entrepreneurially. Ambitious plans have already come into fruition with …
technologically and entrepreneurially. Ambitious plans have already come into fruition with …
[HTML][HTML] Review on Hardware Devices and Software Techniques Enabling Neural Network Inference Onboard Satellites
Neural networks (NNs) have proven their ability to deal with many computer vision tasks,
including image-based remote sensing such as the identification and segmentation of …
including image-based remote sensing such as the identification and segmentation of …
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 …
Performance evaluation of neuromorphic hardware for onboard satellite communication applications
Spiking neural networks (SNNs) implemented on neuromorphic processors (NPs) can
enhance the energy efficiency of deployments of artificial intelligence (AI) for specific …
enhance the energy efficiency of deployments of artificial intelligence (AI) for specific …
GenAI-based models for NGSO satellites interference detection
Recent advancements in satellite communications have highlighted the challenge of
interference detection, especially with the new generation of non-geostationary orbit …
interference detection, especially with the new generation of non-geostationary orbit …
Artificial Intelligence for Satellite Communication: A Survey
G Fontanesi, F Ortíz, E Lagunas… - … Surveys & Tutorials, 2025 - ieeexplore.ieee.org
This paper provides a comprehensive survey on the application and development of
Artificial Intelligence (AI) and Machine Learning (ML) in satellite communication (SATCOM) …
Artificial Intelligence (AI) and Machine Learning (ML) in satellite communication (SATCOM) …