Machine Learning for Future Fiber-Optic Communication Systems

Chapter Six: Deep learning techniques for optical monitoring

Takahito Tanimura¹; Takeshi Hoshida    Fujitsu Limited, Kawasaki, Japan¹Currently with Hitachi Ltd., Tokyo, Japan.

Abstract

Future optical networks will require automated network operation and management to accommodate their increasing operational complexity. A monitoring/perception of the status of the optical network is vital for realizing the network automation. Deep learning (DL)-based optical monitors that comprise digital coherent reception and deep neural networks (DNNs) are promising options because of their flexibility. In this chapter, we present the concept and basics of DL-based optical monitors in the training and inference modes and advanced techniques for enhancing DL-based ...