arXiv · 2511.06368
Optical Network Digital Twin -- Practical Use Cases and Architecture
Abstract
With the widespread adoption of AI, machine-to-machine communications are rapidly increasing, reshaping the requirements for optical networks. Recent advances in Gaussian noise modeling for digital coherent transmission have raised expectations for digital-twin-based operation. However, unlike digital twins in wireless communication, which are already well established, significant barriers remain for commercialization in optical networks. This paper discusses the evolving requirements of optical networks in the AI era and proposes a practical Optical Network Digital Twin architecture enabling dynamic and Quality of Transmission aware operation beyond conventional management. Representative use cases, including operator-driven optimization, user-operator collaboration, and multi-operator interconnection, are presented, along with the architectural framework and key challenges toward practical deployment.
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Hideki Nishizawa, Toru Mano, Kazuya Anazawa, Tatsuya Matsumura, Takeo Sasai, Masatoshi Namiki, Dmitrii Briantcev, Renato Ambrosone, Esther Le Rouzic, Stefan Melin, Oscar Gonzalez-de-Dios, Juan Pedro Fernandez-Palacios, Xiaocheng Zhang, Keigo Akahoshi, Gert Grammel, Andrea D'Amico, Giacomo Borraccini, Marco Ruffini, Daniel Kilper, Vittorio Curri. 2025-11-09. Optical Network Digital Twin -- Practical Use Cases and Architecture. https://arxiv.org/abs/2511.06368
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