Modular and Integrated AI Control Framework across Fiber and Wireless Networks for 6G
This addresses the need for integrated AI control in 6G networks for network operators and developers, though it appears incremental by building on existing O-RAN standards.
The paper tackles the problem of fragmented AI-driven controls in 6G networks by proposing a modular framework that extends O-RAN Alliance principles to unify control across fiber and wireless domains, enabling intelligent and scalable automation.
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.