Advancing uav communications: A comprehensive survey of cutting-edge machine learning techniques

C Sun, G Fontanesi, B Canberk… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
This paper provides a comprehensive overview of the evolution of Machine Learning (ML),
from traditional to advanced, in its application and integration into unmanned aerial vehicle …

Advances in artificial intelligence and machine learning for quantum communication applications

M Mafu - IET Quantum Communication, 2024 - Wiley Online Library
Artificial intelligence (AI) and classical machine learning (ML) techniques have
revolutionised numerous fields, including quantum communication. Quantum …

On-board federated learning for satellite clusters with inter-satellite links

N Razmi, B Matthiesen, A Dekorsy… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The emergence of mega-constellations of interconnected satellites has a major impact on
the integration of cellular wireless and non-terrestrial networks, while simultaneously …

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 …

Qoe-aware cost-minimizing capacity renting for satellite-as-a-service enabled multiple-beam satcom systems

TM Kebedew, VN Ha, E Lagunas… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The advent of Satellite as a Service (SaaS) platforms has empowered satellite service
providers (SPs) to rent portions of satellite capacity from infrastructure providers (IPs) to cater …

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 …

6G: The Intelligent Network of Everything--A Comprehensive Vision, Survey, and Tutorial

H Pennanen, T Hänninen, O Tervo, A Tölli… - arxiv preprint arxiv …, 2024 - arxiv.org
The global 6G vision has taken its shape after years of international research and
development efforts. This work culminated in ITU-R's Recommendation on" IMT-2030 …

[HTML][HTML] A comprehensive survey on machine learning methods for handover optimization in 5g networks

SK Thillaigovindhan, M Roslee, SMI Mitani, AF Osman… - Electronics, 2024 - mdpi.com
One of the key features of mobile networks in this age of mobile communication is seamless
communication. Handover (HO) is a critical component of next-generation (NG) cellular …

GenAI-based models for NGSO satellites interference detection

A Saifaldawla, F Ortiz, E Lagunas… - … Machine Learning in …, 2024 - ieeexplore.ieee.org
Recent advancements in satellite communications have highlighted the challenge of
interference detection, especially with the new generation of non-geostationary orbit …

User-centric beam selection and precoding design for coordinated multiple-satellite systems

VN Ha, DHN Nguyen, JCM Duncan… - 2024 IEEE 35th …, 2024 - ieeexplore.ieee.org
This paper introduces a joint optimization framework for user-centric beam selection and
linear precoding (LP) design in a coordinated multiple-satellite (CoMSat) system, employing …