Introduction to the JOCN Special Issue on Machine Learning Applied to QoT Estimation in Optical Networks

Yvan Pointurier, Jelena Pesic, Cristina Rottondi, and Luis Velasco

J. Opt. Commun. Netw. 13(4), MLAQ1-MLAQ2 (2021)  View: HTML | PDF

Machine learning techniques for quality of transmission estimation in optical networks

Yvan Pointurier

J. Opt. Commun. Netw. 13(4), B60-B71 (2021)  View: HTML | PDF

Performance studies of evolutionary transfer learning for end-to-end QoT estimation in multi-domain optical networks [Invited]

Che-Yu Liu, Xiaoliang Chen, Roberto Proietti, and S. J. Ben Yoo

J. Opt. Commun. Netw. 13(4), B1-B11 (2021)  View: HTML | PDF

Fast signal quality monitoring for coherent communications enabled by CNN-based EVM estimation

Yuchuan Fan, Aleksejs Udalcovs, Xiaodan Pang, Carlos Natalino, Marija Furdek, Sergei Popov, and Oskars Ozolins

J. Opt. Commun. Netw. 13(4), B12-B20 (2021)  View: HTML | PDF

Towards vendor-agnostic real-time optical network design with extended Kalman state estimation and recurrent neural network machine learning [Invited]

Martin Bouda, Gautam Krishna, Joe Krystofik, Shoichiro Oda, and Paparao Palacharla

J. Opt. Commun. Netw. 13(4), B21-B34 (2021)  View: HTML | PDF

Performance comparisons between machine learning and analytical models for quality of transmission estimation in wavelength-division-multiplexed systems [Invited]

Jianing Lu, Gai Zhou, Qirui Fan, Dengke Zeng, Changjian Guo, Linyue Lu, Jianqiang Li, Chongjin Xie, Chao Lu, Faisal Nadeem Khan, and Alan Pak Tao Lau

J. Opt. Commun. Netw. 13(4), B35-B44 (2021)  View: HTML | PDF

Quality of transmission estimator retraining for dynamic optimization in optical networks

Ankush Mahajan, Konstantinos (Kostas) Christodoulopoulos, Ricardo Martínez, Raul Muñoz, and Salvatore Spadaro

J. Opt. Commun. Netw. 13(4), B45-B59 (2021)  View: HTML | PDF

Lightpath QoT computation in optical networks assisted by transfer learning

Ihtesham Khan, Muhammad Bilal, M. Umar Masood, Andrea D’Amico, and Vittorio Curri

J. Opt. Commun. Netw. 13(4), B72-B82 (2021)  View: HTML | PDF

Machine-learning-based EDFA gain estimation [Invited]

Jiakai Yu, Shengxiang Zhu, Craig L. Gutterman, Gil Zussman, and Daniel C. Kilper

J. Opt. Commun. Netw. 13(4), B83-B91 (2021)  View: HTML | PDF

Machine learning regression for QoT estimation of unestablished lightpaths

Memedhe Ibrahimi, Hatef Abdollahi, Cristina Rottondi, Alessandro Giusti, Alessio Ferrari, Vittorio Curri, and Massimo Tornatore

J. Opt. Commun. Netw. 13(4), B92-B101 (2021)  View: HTML | PDF