Modular and Integrated AI Control Framework across Fiber and Wireless Networks for 6G

TL;DR

This paper introduces a modular AI control framework that unifies management across fiber and wireless networks, enhancing the flexibility and scalability of 6G network operations.

Contribution

It extends existing AI control principles to optical networks, creating a unified, adaptable framework for diverse 6G network segments.

Findings

Framework enables cross-domain AI control in fiber and wireless networks

Enhances network automation and scalability for 6G

Builds on O-RAN principles for optical domain integration

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.