面向6G海洋安全通信:信道建模方法与未来挑战

      Towards 6G maritime secure communication: channel modeling methods and future challenges

      • 摘要: 6G空天地海一体化愿景下,海洋安全通信因信道动态非平稳、多物理效应耦合面临严峻挑战。本文综述了6G海洋安全通信信道建模的研究进展与趋势。首先,剖析了海洋信道稀疏性、大气波导效应等典型特征及衍生的安全风险。然后,梳理了卫星、无人机、近海基站-船舶三类场景的空间散射建模方法,阐述了可重构智能表面(reconfigurable intelligent surface, RIS)、多输入多输出(multiple-input multiple-output, MIMO)、流态天线(fluid antenna system, FAS)等关键技术的融合应用路径。随后,总结了凸优化、深度强化学习、大模型驱动等智能优化框架的实践方案。最后,指出了当前在动态建模精度、AI模型鲁棒性、安全传输适配性等方面的核心挑战,展望了未来研究方向。

         

        Abstract: Under the vision of 6G space-air-ground-sea integration, maritime secure communication faces severe challenges due to dynamically non-stationary channels and the coupling of multiple physical effects. This paper reviews the research progress and trends in channel modeling for 6G maritime secure communication. First, the typical characteristics of maritime channels, such as sparsity and atmospheric duct effects, along with their derived security risks are analyzed. Then, it surveys spatial scattering modeling methods for three scenarios: satellite, unmanned aerial vehicle (UAV), and coastal base station-to-ship communications, while elaborating on the integrated application paths of key technologies including reconfigurable intelligent surfaces (RIS), multiple-input multiple-output (MIMO), and fluid antenna systems (FAS). Furthermore, the practical schemes of intelligent optimization frameworks driven by convex optimization, deep reinforcement learning, and large models are summarized. Finally, the paper points out core challenges in current research regarding dynamic modeling accuracy, AI model robustness, and secure transmission adaptability, and prospects future research directions.

         

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