Advancements and challenges in machine learning: A comprehensive review of models, libraries, applications, and algorithms

S Tufail, H Riggs, M Tariq, AI Sarwat - Electronics, 2023 - mdpi.com
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 …

Revolutionizing future connectivity: A contemporary survey on AI-empowered satellite-based non-terrestrial networks in 6G

S Mahboob, L Liu - IEEE Communications Surveys & Tutorials, 2024 - ieeexplore.ieee.org
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 …

Artificial intelligence for satellite communication and non-terrestrial networks: A survey

G Fontanesi, F Ortíz, E Lagunas, VM Baeza… - arxiv preprint arxiv …, 2023 - arxiv.org
This paper surveys the application and development of Artificial Intelligence (AI) in Satellite
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …

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 …

Mitigating challenges of the space environment for onboard artificial intelligence: Design overview of the imaging payload on SpIRIT

MO Del Castillo, J Morgan… - Proceedings of the …, 2024 - openaccess.thecvf.com
Artificial intelligence (AI) and autonomous edge computing in space are emerging areas of
interest to augment capabilities of nanosatellites where modern sensors generate orders of …

A vision, survey, and roadmap toward space communications in the 6G and beyond era

K Ntontin, E Lagunas, J Querol… - Proceedings of the …, 2025 - ieeexplore.ieee.org
Satellite communications (SatComs) have recently been through a renaissance, both
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

L Diana, P Dini - Remote Sensing, 2024 - mdpi.com
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 …

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 …

Performance evaluation of neuromorphic hardware for onboard satellite communication applications

E Lagunas, FG Ortiz, G Eappen… - IEEE Wireless …, 2024 - ieeexplore.ieee.org
Spiking neural networks (SNNs) implemented on neuromorphic processors (NPs) can
enhance the energy efficiency of deployments of artificial intelligence (AI) for specific …

Energy-efficient on-board radio resource management for satellite communications via neuromorphic computing

F Ortiz, N Skatchkovsky, E Lagunas… - … Machine Learning in …, 2024 - ieeexplore.ieee.org
The latest Satellite Communication (SatCom) missions are characterized by a fully
reconfigurable on-board software-defined payload, capable of adapting radio resources to …