提出跨光网与无线网的模块化智能控制框架，支撑6G全自动网络
Modular and Integrated AI Control Framework across Fiber and Wireless Networks for 6G
- 基于O-RAN近实时控制器理念，扩展至光网络域
- 统一框架支持光纤与无线网络协同智能管控
- 适合6G网络自动化、可扩展系统设计人员参考
6G通信网络的快速发展正日益引入各网络段的先进人工智能驱动控制，以实现智能、免人工操作。本文提出一种全面且模块化的AI控制器框架，具备高度灵活性和适应性，适用于光纤光网与无线网络。该框架在O-RAN联盟提出的近实时无线接入网智能控制器（near-RT RIC）原则基础上，将AI驱动控制延伸至光网络领域。本方法解决了跨异构传输技术与网络域的统一智能控制需求，推动实现智能化、自动化、可扩展的6G网络。
原文摘要 · Abstract (English)
The rapid evolution of communication networks towards 6G increasingly incorporates advanced AI-driven controls across various network segments to achieve intelligent, zero-touch operation. This paper proposes a comprehensive and modular framework for AI controllers, designed to be highly flexible and adaptable for use across both fiber optical and radio networks. Building on the principles established by the O-RAN Alliance for near-Real-Time RAN Intelligent Controllers (near-RT RICs), our framework extends this AI-driven control into the optical domain. Our approach addresses the critical need for a unified AI control framework across diverse network transport technologies and domains, enabling the development of intelligent, automated, and scalable 6G networks.
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