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

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 …

Optical network automation and failure management require measuring the status and the
performance of the different network devices to anticipate any degradation and ensure the …

Optical in-phase and quadrature (IQ) constellations enclose valuable information regarding
the optical elements traversed by the optical signal. Such information can be extracted and …

Digital twin (DT) technology facilitates the integration of physical and virtual worlds, enabling
optical networks to realize efficient, intelligent, and accurate monitoring, prediction, and …

Digital coherent transceivers have developed to the stage that they can monitor the physical
state of an optical network and thus are capable of generating data to build measurement …

Model generalization characterizes the sustainability of machine learning (ML) designs
applied to novel system states and therefore plays a vital role toward the realization of …

Polarization encoded Quantum Key Distribution (QKD) is attracting great attention as it
generates unlimitedly and unconditionally secure keys for different use cases. Despite its …

This paper demonstrates the first field trial of autonomous lightpath provisioning over a
space-division multiplexing (SDM) optical network built with 16.5-km 7-core fibers. In …

When Digital Twins Meet Optical Networks Operations Page 1 When Digital Twins Meet
Optical Networks Operations Darli AA Mello1, Kayol S. Mayer1, Andrés F. Escallón-Portilla1 …