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.

中文翻译：

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人工智能辅助的集成陆地和非陆地 6G 解决方案，实现可持续海事网络


海运业正在经历一场技术革命，影响造船、远洋和内河船舶的运营、货物管理以及港口的工作实践。这种持续的转型是由使生态系统更具可持续性和成本效益的雄心所驱动的。数字化和自动化将航运和游轮转变为更具成本效益、能源效率和脱碳的行业领域，有助于实现这些目标。这些流程的关键推动因素是始终可用的连接和内容交付服务，这不仅可以帮助航运公司提高运营效率和减少碳排放，还有助于改善船员福利和乘客体验。由于最近在集成高容量和超可靠的陆地和非陆地网络技术方面取得的进展，无处不在的海上连接正在成为现实。为了应对管理这些集成系统日益增加的复杂性，本文主张使用人工智能和基于机器学习的方法来满足各种海上通信场景的服务需求和能效目标。