Publication detail

AI-Aided Integrated Terrestrial and Non-Terrestrial 6G Solutions for Sustainable Maritime Networking

SAAFI, S. VIKHROVA, O. FODOR, G. HOŠEK, J. ANDREEV, S.

Original Title

AI-Aided Integrated Terrestrial and Non-Terrestrial 6G Solutions for Sustainable Maritime Networking

Type

journal article in Web of Science

Language

English

Original Abstract

The maritime industry is experiencing a technological revolution that affects shipbuilding, operation of both seagoing and inland vessels, cargo management, and working practices in harbors. This ongoing transformation is driven by the ambition to make the ecosystem more sustainable and cost-efficient. Digitalization and automation help achieve these goals by transforming shipping and cruising into a much more cost- and energy-efficient and decarbonized industry segment. The key enablers in these processes are always-available connectivity and content delivery services, which can not only aid shipping companies in improving their operational efficiency and reducing carbon emissions, but also contribute to enhanced crew welfare and passenger experience. Due to recent advancements in integrating high-capacity and ultra-reliable terrestrial and non-terrestrial networking technologies, ubiquitous maritime connectivity is becoming a reality. To cope with the increased complexity of managing these integrated systems, this article advocates the use of artificial intelligence and machine-learning-based approaches to meet the service requirements and energy efficiency targets in various maritime communications scenarios.

Keywords

Maritime, 6G, AI, Terrestrial/non-terrestrial networks, Sustainability, Energy efficiency

Authors

SAAFI, S.; VIKHROVA, O.; FODOR, G.; HOŠEK, J.; ANDREEV, S.

Released

13. 7. 2022

Publisher

IEEE

ISBN

0890-8044

Periodical

IEEE NETWORK

Year of study

36

Number

3

State

United States of America

Pages from

183

Pages to

190

Pages count

8

URL

https://ieeexplore.ieee.org/document/9829372

BibTex

@article{BUT178562,
  author="Salwa {Saafi} and Olga {Vikhrova} and Gabor {Fodor} and Jiří {Hošek} and Sergey {Andreev}",
  title="AI-Aided Integrated Terrestrial and Non-Terrestrial 6G Solutions for Sustainable Maritime Networking",
  journal="IEEE NETWORK",
  year="2022",
  volume="36",
  number="3",
  pages="183--190",
  doi="10.1109/MNET.104.2100351",
  issn="0890-8044",
  url="https://ieeexplore.ieee.org/document/9829372"
}