{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T12:08:35Z","timestamp":1767182915309,"version":"3.41.2"},"reference-count":48,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,7,24]],"date-time":"2024-07-24T00:00:00Z","timestamp":1721779200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Comms. Net."],"abstract":"<jats:p>The maritime domain is a major driver of economic growth with emerging services, comprising intelligent transportation systems (ITSs), smart ports, security and safety, and ocean monitoring systems. Sixth generation (6G) mobile networks will offer various technologies, paving the way for reliable and autonomous maritime communication networks (MCNs), supporting these novel maritime services. This review presents the main enabling technologies for future MCNs and relevant use cases, including ITSs with reduced carbon footprint, ports and maritime infrastructure security, as well as fault detection and predictive maintenance. Moreover, the current trends in integrated satellite-aerial-terrestrial-maritime network architectures are discussed together with the different network segments and communication technologies, and machine learning integration aspects.<\/jats:p>","DOI":"10.3389\/frcmn.2024.1439529","type":"journal-article","created":{"date-parts":[[2024,7,24]],"date-time":"2024-07-24T04:22:43Z","timestamp":1721794963000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["Sailing into the future: technologies, challenges, and opportunities for maritime communication networks in the 6G era"],"prefix":"10.3389","volume":"5","author":[{"given":"Georgios","family":"Xylouris","sequence":"first","affiliation":[]},{"given":"Nikolaos","family":"Nomikos","sequence":"additional","affiliation":[]},{"given":"Alexandros","family":"Kalafatelis","sequence":"additional","affiliation":[]},{"given":"Anastasios","family":"Giannopoulos","sequence":"additional","affiliation":[]},{"given":"Sotirios","family":"Spantideas","sequence":"additional","affiliation":[]},{"given":"Panagiotis","family":"Trakadas","sequence":"additional","affiliation":[]}],"member":"1965","published-online":{"date-parts":[[2024,7,24]]},"reference":[{"key":"B1","first-page":"944","article-title":"Towards deployment of UAV\u2019s for autonomous ships\u2019 5G mobile communication","volume-title":"Advanced intelligent systems for sustainable development","author":"Ait Allal","year":"2022"},{"key":"B2","doi-asserted-by":"publisher","first-page":"140699","DOI":"10.1109\/ACCESS.2020.3013541","article-title":"Federated learning: a survey on enabling technologies, protocols, and applications","volume":"8","author":"Aledhari","year":"2020","journal-title":"IEEE Access"},{"key":"B3","doi-asserted-by":"publisher","first-page":"3525","DOI":"10.1109\/JIOT.2022.3219674","article-title":"Maritime communications: a survey on enabling technologies, opportunities, and challenges","volume":"10","author":"Alqurashi","year":"2022","journal-title":"IEEE Internet Things J."},{"key":"B4","doi-asserted-by":"publisher","first-page":"6437","DOI":"10.1109\/access.2024.3350777","article-title":"Federated learning-aided prognostics in the shipping 4.0: principles, workflow, and use cases","volume":"12","author":"Angelopoulos","year":"2024","journal-title":"IEEE Access"},{"key":"B5","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1108\/JQME-04-2016-0014","article-title":"Preventive maintenance (pm) planning: a review","volume":"23","author":"Basri","year":"2017","journal-title":"J. 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