Abstract
Monitoring 3dB bandwidth and other spectrum related parameters at ROADMs provides information about quality of their filters. We propose a machine-learning model to estimate end-to-end filtering penalty for more accurate QoT estimation of future connections.
© 2020 The Author(s)
PDF ArticleMore Like This
Matteo Lonardi, Jelena Pesic, Thierry Zami, and Nicola Rossi
NeM3B.2 Photonic Networks and Devices (Networks) 2020
J. Pesic, M. Lonardi, N. Rossi, T. Zami, E. Seve, and Y. Pointurier
Th3D.5 Optical Fiber Communication Conference (OFC) 2020
Qirui Fan, Jianing Lu, Gai Zhou, Derek Zeng, Changjian Guo, Linyue Lu, Jianqiang Li, Chongjin Xie, Chao Lu, Faisal Nadeem Khan, and Alan Pak Tao Lau
M2J.2 Optical Fiber Communication Conference (OFC) 2020