The AI-Native Network Controller (AI-NNC) is a modular, protocol-agnostic framework enabling safe agentic AI control across heterogeneous network domains via validated command pipelines.
Modular and Integrated AI Control Framework across Fiber and Wireless Networks for 6G
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abstract
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.
fields
cs.NI 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
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AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure
The AI-Native Network Controller (AI-NNC) is a modular, protocol-agnostic framework enabling safe agentic AI control across heterogeneous network domains via validated command pipelines.