mlsanityData to 14 Oct 2026

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

arXiv 2502.15731 ↗First posted 3 Feb 2025cs.NI cs.AIcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 5 of its 10 references that are in the map. First posted on arXiv 3 Feb 2025.

Builds on

5 of 10 references.

References · 5

  1. 2023Machine Learning-based Early Attack Detection Using Open RAN Intelligent Controllercited by 5
  2. 2018Artificial Intelligence (AI) Methods in Optical Networks: A Comprehensive Surveycited by 4
  3. 2024Cross-Domain AI for Early Attack Detection and Defense Against Malicious Flows in O-RANcited by 3
  4. 2024Demonstration of Cooperative Transport Interface using open-source 5G OpenRAN and virtualised PON networkcited by 2
  5. 2018A Variable Rate Fronthaul Scheme for Cloud Radio Access Networks (C-RAN)cited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.