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

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.