Optical Network Digital Twin -- Practical Use Cases and Architecture
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arXiv
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| Auteurs principaux: | , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866918464714702848 |
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| author | Nishizawa, Hideki Mano, Toru Anazawa, Kazuya Matsumura, Tatsuya Sasai, Takeo Namiki, Masatoshi Briantcev, Dmitrii Ambrosone, Renato Rouzic, Esther Le Melin, Stefan Gonzalez-de-Dios, Oscar Fernandez-Palacios, Juan Pedro Zhang, Xiaocheng Akahoshi, Keigo Grammel, Gert D'Amico, Andrea Borraccini, Giacomo Ruffini, Marco Kilper, Daniel Curri, Vittorio |
| author_facet | Nishizawa, Hideki Mano, Toru Anazawa, Kazuya Matsumura, Tatsuya Sasai, Takeo Namiki, Masatoshi Briantcev, Dmitrii Ambrosone, Renato Rouzic, Esther Le Melin, Stefan Gonzalez-de-Dios, Oscar Fernandez-Palacios, Juan Pedro Zhang, Xiaocheng Akahoshi, Keigo Grammel, Gert D'Amico, Andrea Borraccini, Giacomo Ruffini, Marco Kilper, Daniel Curri, Vittorio |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_06368 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Optical Network Digital Twin -- Practical Use Cases and Architecture Nishizawa, Hideki Mano, Toru Anazawa, Kazuya Matsumura, Tatsuya Sasai, Takeo Namiki, Masatoshi Briantcev, Dmitrii Ambrosone, Renato Rouzic, Esther Le Melin, Stefan Gonzalez-de-Dios, Oscar Fernandez-Palacios, Juan Pedro Zhang, Xiaocheng Akahoshi, Keigo Grammel, Gert D'Amico, Andrea Borraccini, Giacomo Ruffini, Marco Kilper, Daniel Curri, Vittorio Systems and Control 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. |
| title | Optical Network Digital Twin -- Practical Use Cases and Architecture |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2511.06368 |