Digital Twin is a virtual model that accurately simulates and represents the physical characteristics and behaviors of a partially disaggregated optical network. By creating this digital representation, the control architecture can predict how changes in the network affect its operation and enable the system to autonomously adjust the working points of amplifiers. This capability enhances the network’s resilience by mitigating soft failures, thereby ensuring consistent and reliable performance.

Posts

QoT Digital Twin for Bridging Physical Layer Knowledge Gaps in Multi-Domain Networks

We propose building a spectrally resolved QoT Digital Twin for optical network domains where models and telemetry are unavailable, by probing transmission on a singlespectral slot, using GNPy, and demonstrating accurate experimental results.

Optical Amplified Line Self-Healing Using GNPy as a Service by the SDN Control

A control architecture for a partially disaggregated optical network is proposed using a GNPy-based digital twin for QoT estimation. The proposed implementation enables soft failure mitigation by autonomously adjusting the amplifier working points.