From the 1 of 6 linked papers with an AI index.
1 citations · 1 across the 3 of their papers we have counts for
6 papers
OSNR/GSNR Prediction in Brownfield Links via a DLM-Anchored Hybrid Physics/ML Model
Agastya Raj, Venkata Virajit Garbhapu, Hiroyuki Ishihara +5
The paper proposes a hybrid physics‑based and machine‑learning model anchored by a digital line model (DLM) to accurately predict per‑channel power, OSNR, and GSNR in existing (bro…
Leveraging Digital Twin Technologies: All-Photonics Networks-as-a-Service for Data Center Xchange in the Era of AI [Invited Tutorial]
Hideki Nishizawa, Kazuya Anazawa, Tetsuro Inui +8
This paper presents a data center exchange (Data Center Xchange, DCX) architecture for all-photonics networks-as-a-service in distributed data center infrastructures, enabling the…
Optical Network Digital Twin -- Practical Use Cases and Architecture
Hideki Nishizawa, Toru Mano, Kazuya Anazawa +17
With the widespread adoption of AI, machine-to-machine communications are rapidly increasing, reshaping the requirements for optical networks. Recent advances in Gaussian noise mod…
Beyond Redundancy: Toward Agile Resilience in Optical Networks to Overcome Unpredictable Disasters
Toru Mano, Hideki Nishizawa, Takeo Sasai +9
Resilience in optical networks has traditionally relied on redundancy and pre-planned recovery strategies, both of which assume a certain level of disaster predictability. However,…
Optical Link Tomography: First Field Trial and 4D Extension
Takeo Sasai, Giacomo Borraccini, Yue-Kai Huang +11
Optical link tomography (OLT) is a rapidly evolving field that allows the multi-span, end-to-end visualization of optical power along fiber links in multiple dimensions from networ…
Design of Fiber-Longitudinal Optical Power Monitor
Takeo Sasai, Sze Yun Set, Shinji Yamashita
This paper presents analytical results on the accuracy of fiber-longitudinal optical power monitoring (LPM) at arbitrary positions. To quantify the accuracy, the position-wise vari…