Digital longitudinal monitoring of optical fiber communication link
T Sasai, M Nakamura, E Yamazaki… - Journal of Lightwave …, 2021 - opg.optica.org
Optical transmission links are generally composed of optical fibers, optical amplifiers, and
optical filters. In this paper, we present a channel reconstruction method (CRM) that extracts …
optical filters. In this paper, we present a channel reconstruction method (CRM) that extracts …
Digital Twin of Optical Networks: A Review of Recent Advances and Future Trends
Digital twin (DT) has revolutionized optical communication networks by enabling their full life-
cycle management, including planning, prediction, optimization, upgrade, and …
cycle management, including planning, prediction, optimization, upgrade, and …
Performance limit of fiber-longitudinal power profile estimation methods
T Sasai, E Yamazaki, Y Kisaka - Journal of Lightwave Technology, 2023 - opg.optica.org
This paper presents analytical results on longitudinal power profile estimation (PPE)
methods, which visualize signal power evolution in optical fibers at a coherent receiver. The …
methods, which visualize signal power evolution in optical fibers at a coherent receiver. The …
Linear least squares estimation of fiber-longitudinal optical power profile
T Sasai, M Takahashi, M Nakamura… - Journal of Lightwave …, 2023 - ieeexplore.ieee.org
This paper presents a linear least squares method for fiber-longitudinal power profile
estimation (PPE), which estimates the optical signal power distribution throughout a fiber …
estimation (PPE), which estimates the optical signal power distribution throughout a fiber …
Proposal of linear least squares for fiber-nonlinearity-based longitudinal power monitoring in multi-span link
T Sasai, E Yamazaki, M Nakamura… - … (OECC) and 2022 …, 2022 - ieeexplore.ieee.org
Proposal of Linear Least Squares for Fiber-Nonlinearity-Based Longitudinal Power Monitoring
in Multi-Span Link Page 1 OECC/PSC 2022 ©IEICE Proposal of Linear Least Squares for …
in Multi-Span Link Page 1 OECC/PSC 2022 ©IEICE Proposal of Linear Least Squares for …
Closed-form expressions for fiber-nonlinearity-based longitudinal power profile estimation methods
T Sasai, E Yamazaki, M Nakamura… - … Conference on Optical …, 2022 - ieeexplore.ieee.org
Closed-form expressions for longitudinal power profile estimation methods (correlation and
MMSE) are derived. Findings indicate that the spatial resolution of correlation methods is …
MMSE) are derived. Findings indicate that the spatial resolution of correlation methods is …
Digital longitudinal monitoring of optical transmission link
T Sasai - 2022 European Conference on Optical …, 2022 - ieeexplore.ieee.org
We review the advancements in Rx DSP-based transmission-link monitoring methods,
which reveal fiber-longitudinal distributions of various physical parameters (eg, signal power …
which reveal fiber-longitudinal distributions of various physical parameters (eg, signal power …
Receiver-based localization and estimation of polarization dependent loss
Receiver-Based Localization and Estimation of Polarization Dependent Loss Page 1 OECC/PSC
2022 ©IEICE Receiver-Based Localization and Estimation of Polarization Dependent Loss …
2022 ©IEICE Receiver-Based Localization and Estimation of Polarization Dependent Loss …
Demonstration of enhanced power losses characterization in optical networks
A May, F Boitier, A Courilleau, B Al Ayoubi… - Optical Fiber …, 2022 - opg.optica.org
Demonstration of Enhanced Power Losses Characterization in Optical Networks Page 1
Demonstration of Enhanced Power Losses Characterization in Optical Networks Alix May1,2 …
Demonstration of Enhanced Power Losses Characterization in Optical Networks Alix May1,2 …
Machine-learning-based technique to establish ASE or Kerr impairment dominance in optical transmission
I Andrenacci, M Lonardi, P Ramantanis… - Journal of Optical …, 2024 - opg.optica.org
Data extraction from optical networks has increased substantially with the evolution of
monitoring and telemetry methods. Using data analysis and machine learning, this paper …
monitoring and telemetry methods. Using data analysis and machine learning, this paper …