Abstract
The availability of coarse-resolution cost-effective Optical Spectrum Analyzers (OSA) allows its widespread deployment in operators’ networks. In this paper, several machine learning approaches for failure identification and localization that take advantage of OSAs are presented.
© 2018 The Author(s)
PDF ArticleMore Like This
Shahin Shahkarami, Francesco Musumeci, Filippo Cugini, and Massimo Tornatore
M3A.5 Optical Fiber Communication Conference (OFC) 2018
Liang Shu, Zhenming Yu, Zhiquan Wan, and Kun Xu
C2F_1 Conference on Lasers and Electro-Optics/Pacific Rim (CLEO/PR) 2020
Hiroshi Yamamoto, Kouhei Watanabe, Hiroki Date, Daisaku Shimazaki, Yutaka Fukuchi, and Hideki Maeda
W2A.17 Optical Fiber Communication Conference (OFC) 2023