Machine learning techniques for quality of transmission estimation in optical networks
Yvan Pointurier
Abstract
The estimation of the quality of transmission (QoT) in optical systems with machine learning (ML) has recently been the focus of a large body of research. We discuss the sources of inaccuracy in QoT estimation in general; we propose a taxonomy for ML-aided QoT estimation; we briefly review ML-aided optical performance monitoring, a tightly related topic; and we review and compare all recently published ML-aided QoT articles.
Topics & Concepts
Computer scienceTransmission (telecommunications)Quality (philosophy)EstimationArtificial intelligenceMachine learningTelecommunicationsEngineeringPhysicsSystems engineeringQuantum mechanicsOptical Network TechnologiesAdvanced Photonic Communication SystemsAdvanced Optical Network Technologies