2 citations · 2 across the 7 of their papers we have counts for
8 papers
Experimental Demonstration of Autonomous Class Aware Optimization via Digital Twin Aided Optical Network Agent
Marc Lawson, Ambashri Purkayastha, Camille Delezoide +3
We demonstrate on a network testbed a Digital Twin-aided multi-agent LLM for autonomous class-aware optical network management. The system detects soft failures and autonomously ad…
Digital Twin for Estimating QoT Statistics in Presence of PDL and Transceiver Imperfections
Ambashri Purkayastha, Camille Delezoide, Vinod Bajaj +3
We propose a physics-based digital twin to predict the statistical QoT distribution of a realistic optical lightpath. We demonstrate up to 0.73 dB accuracy improvement in worst-cas…
Power-Aware Digital Twin of Coherent Optical Receiver
Ambashri Purkayastha, Camille Delezoide, Fabien Boitier +4
We propose a digital twin of coherent receivers based on an extended physical model for predicting quality of transmission under receiver power variations. We experimentally valida…
Accuracy Enhancement of an Optical Network Digital Twin Based on Open-Source Field Data
Ambashri Purkayastha, Cédric Ware, Mounia Lourdiane +2
We propose a two-stage hybrid QoT model for twinning a real transport network and evaluate it on recently published field data. Accounting for partial calibration of key parameters…
Threat Classification on Deployed Optical Networks Using MIMO Digital Fiber Sensing, Wavelets, and Machine Learning
Khouloud Abdelli, Henrique Pavani, Christian Dorize +4
We demonstrate mechanical threats classification including jackhammers and excavators, leveraging wavelet transform of MIMO-DFS output data across a 57-km operational network link.…
Weather-Adaptive Multi-Step Forecasting of State of Polarization Changes in Aerial Fibers Using Wavelet Neural Networks
Khouloud Abdelli, Matteo Lonardi, Jurgen Gripp +2
We introduce a novel weather-adaptive approach for multi-step forecasting of multi-scale SOP changes in aerial fiber links. By harnessing the discrete wavelet transform and incorpo…
Unsupervised Anomaly Detection and Localization with Generative Adversarial Networks
Khouloud Abdelli, Matteo Lonardi, Jurgen Gripp +3
We propose a novel unsupervised anomaly detection approach using generative adversarial networks and SOP-derived spectrograms. Demonstrating remarkable efficacy, our method achieve…
Cost and Power-Consumption Analysis for Power Profile Monitoring with Multiple Monitors per Link in Optical Networks
Qiaolun Zhang, Patricia Layec, Alix May +3
As deploying large amounts of monitoring equipment results in elevated cost and power consumption, novel low-cost monitoring methods are being continuously investigated. A new tech…