Machine Learning for Future Fiber-Optic Communication Systems

Chapter Seven: Machine Learning methods for Quality-of-Transmission estimation

Memedhe Ibrahimi^a; Cristina Rottondi^b; Massimo Tornatore^a    aDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy^bDepartment of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy

Abstract

Machine Learning (ML) is becoming an integral part of Quality-of-Transmission (QoT) estimation frameworks in optical networks. Application of ML is motivated by the increase in design and management complexity deriving by the emergence of new technologies such as elastic optical networking and coherent transmission. This chapter provides an overview of the application of ML-based methods for QoT estimation in optical networks. ...