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CompQoTE: Generalizing QoT Estimation with Composable ML and End-to-End Learning

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Abstract

This paper proposes CompQoTE, a composable QoT estimation design with end-to-end learning capability. Results show CompQoT can generalize arbitrary lightpaths while achieving > 90% estimation accuracy for unseen lightpaths.

© 2023 The Author(s)

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More Like This
Demonstration of Composable-ML-assisted Autonomous Lightpath Configuration over a Field-deployed SDM Network with 7-Core Fibers

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