[HTML][HTML] Machine learning techniques for non-terrestrial networks

R Giuliano, E Innocenti - Electronics, 2023 - mdpi.com
Traditionally, non-terrestrial networks (NTNs) are used for a limited set of applications, such
as TV broadcasting and communication support during disaster relief. Nevertheless, due to …

Machine learning techniques and a case study for intelligent wireless networks

H Yang, X Xie, M Kadoch - IEEE Network, 2020 - ieeexplore.ieee.org
With the widespread deployment of wireless technologies and IoT, 5G wireless networks will
support various communication connectivity and services for the huge number of wireless …

Empowering non-terrestrial networks with artificial intelligence: A survey

A Iqbal, ML Tham, YJ Wong, G Wainer, YX Zhu… - IEEE …, 2023 - ieeexplore.ieee.org
6G networks can support global, ubiquitous and seamless connectivity through the
convergence of terrestrial and non-terrestrial networks (NTNs). Unlike terrestrial scenarios …

Transformer Neural Network for Throughput Improvement in Non-Terrestrial Networks

R Giuliano, E Innocenti, F Mazzenga… - 2023 International …, 2023 - ieeexplore.ieee.org
The integration of Non-Terrestrial Networks (NTNs) within the 6G framework provides full
connectivity worldwide but some system procedures can be ineffective and should be …

[HTML][HTML] AI-inspired non-terrestrial networks for IIoT: Review on enabling technologies and applications

ET Michailidis, SM Potirakis, AG Kanatas - IoT, 2020 - mdpi.com
During the last few years, various Industrial Internet of Things (IIoT) applications have
emerged with numerous network elements interconnected using wired and wireless …

Hybrid centralized and distributed learning for MEC-equipped satellite 6G networks

TK Rodrigues, N Kato - IEEE Journal on Selected Areas in …, 2023 - ieeexplore.ieee.org
For future networks in the 6G, it will be important to maintain a ubiquitous connection, bring
processing heavy applications to remote areas, and analyze big amounts of data to …

Nine challenges in artificial intelligence and wireless communications for 6G

W Tong, GY Li - IEEE Wireless Communications, 2022 - ieeexplore.ieee.org
In recent years, artificial intelligence (AI) techniques, especially machine learning (ML), have
been successfully applied in various areas, leading to a widespread belief that AI will …

A Machine Learning approach for routing in satellite Mega-Constellations

A Cigliano, F Zampognaro - 2020 international symposium on …, 2020 - ieeexplore.ieee.org
Current packet-switched networks, and Internet in particular, are experiencing explosive
growth in traffic, mainly due to the rapid development of new communication technologies …

[HTML][HTML] A comprehensive survey on machine learning for networking: evolution, applications and research opportunities

R Boutaba, MA Salahuddin, N Limam, S Ayoubi… - Journal of Internet …, 2018 - Springer
Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications
that solve problems and enable automation in diverse domains. Primarily, this is due to the …

Scope of machine learning applications for addressing the challenges in next‐generation wireless networks

RK Samanta, B Sadhukhan… - CAAI Transactions …, 2022 - Wiley Online Library
The convenience of availing quality services at affordable costs anytime and anywhere
makes mobile technology very popular among users. Due to this popularity, there has been …