Creating and Tuning Multiband Optical Transmission Digital Twin Lightpath Models

Optical Digital Twins (DT) require pre-trained
models for estimating the Quality of Transmission (QoT) of
candidate lightpaths in multiband (MB) optical networks before
they are provisioned. Once lightpaths are established, those
models need to be tuned to be used for failure management, e.g.,
degradation detection. In this paper, we concentrate on the MB
OCATA DT, which models optical signal propagation in the time
domain. We first evaluate strategies for creating end-to-end
lightpath models from span DNNs and then, we implement model
tuning, as a building block of the MB OCATA DT. Simulation
results show the accuracy of pre-trained models for QoT
estimation and how they are tuned with telemetry measurements
and improved compared to the initial pre-trained models.