The development of digital twins to represent the optical transport network might enable
multiple applications for network operation, including automation and fault management. In …

To support the development of intelligent optical networks, accurate modeling of the physical
layer is crucial. Digital twin (DT) modeling, which relies on continuous learning with real-time …

Digital twin (DT) has revolutionized optical communication networks by enabling their full life-
cycle management, including planning, prediction, optimization, upgrade, and …

Optical communication is developing rapidly in the directions of hardware resource
diversification, transmission system flexibility, and network function virtualization. Its …

Optical network automation requires accurate physical layer models, not only for
provisioning but also for real-time analysis. In particular, in-phase (I) and quadrature (Q) …

A Three-Stage Training Framework for Customizing Link Models for Optical Networks Page 1
Th3D.6.pdf OFC 2020 © OSA 2020 A Three-stage Training Framework for Customizing Link …

Huge efforts have been paid lastly to study the application of Machine Learning techniques
to optical transport networks. Applications include Quality of Transmission (QoT) estimation …

Networking technologies are fast evolving to support the request for ubiquitous Internet
access that is becoming a fundamental need for the modern and inclusive society, with a …

Digital twin (DT) as one promising technology has been introduced in optical networks,
whose role is to achieve interactive functions and intelligent control by building a bridge …

Recently, data-driven fiber channel modeling methods based on deep learning have been
proposed in optical communication system simulations. We investigate a new data-driven …