@inproceedings{7d8704a0a0a64bc3bff0235b65494417,
title = "Experimental comparisons between machine learning and analytical models for QoT estimations in WDM systems",
abstract = "We experimentally compare QoT estimations for WDM systems using Machine Learning(ML) and GN-based analytical models. ML estimates the side channels with better accuracy but is temporally less stable and less generalizable to different link configurations.",
author = "Qirui Fan and Jianing Lu and Gai Zhou and Derek Zeng and Changjian Guo and Linyue Lu and Jianqiang Li and Chongjin Xie and Chao Lu and Khan, {Faisal Nadeem} and Lau, {Alan Pak Tao}",
note = "Funding Information: Acknowledgements The authors acknowledge the support of the Alibaba Group through Alibaba Innovative Research Program, Hong Kong Government GRF PolyU 152757/16E and National Key R&D Program of China 2018YFB1801701. References Funding Information: The authors acknowledge the support of the Alibaba Group through Alibaba Innovative Research Program, Hong Kong Government GRF PolyU 152757/16E and National Key R&D Program of China 2018YFB1801701. Publisher Copyright: {\textcopyright} OSA 2020 {\textcopyright} 2020 The Author(s); Optical Fiber Communication Conference, OFC 2020 ; Conference date: 08-03-2017 Through 12-03-2017",
year = "2020",
month = mar,
language = "English",
isbn = "9781943580712",
series = "Optics InfoBase Conference Papers",
publisher = "OSA - The Optical Society",
booktitle = "Optical Fiber Communication Conference, OFC 2020",
address = "United States",
}