Artificial Neural Network-Based QoT Estimation for Lightpath Provisioning in Optical Networks-Reference-Cited by-同舟云学术

Artificial Neural Network-Based QoT Estimation for Lightpath Provisioning in Optical Networks

Published:2019-11-01 Issue:11 Volume:E102.B Page:2104-2112
ISSN:0916-8516
Container-title:IEICE Transactions on Communications
language:en
Short-container-title:IEICE Trans. Commun.

Author:

ZHANG Min¹,XU Bo¹,LI Xiaoyun²,FU Dong¹,LIU Jian³,WU Baojian¹,QIU Kun¹

Affiliation:

1. Key Laboratory of Optical Fiber Sensing and Communications (Education Ministry of China), School of Information and Communication Engineering, University of Electronic Science and Technology of China

2. Business School, University of International Business and Economics

3. College of Information Engineering, Nanjing University of Finance and Economics

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

https://www.jstage.jst.go.jp/article/transcom/E102.B/11/E102.B_2018EBP3325/_pdf

Reference24 articles.

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2. [2] P. Soumplis, K. Christodoulopoulos, M. Quagliotti, A. Pagano, and E. Varvarigos, “Network planning with actual margins,” J. Lightw. Technol., vol.35, no.23, pp.5105-5120, 2017 (DOI:10.1109/JLT.2017.2743461). 10.1109/JLT.2017.2743461

3. [3] I. Sartzetakis, K.K. Christodoulopoulos, and E.M. Varvarigos, “On reducing optical monitoring uncertainties and localizing soft failures,” IEEE International Conference on Communications (ICC), 2017 (DOI: 10.1109/ICC.2017.7997218). 10.1109/ICC.2017.7997218

4. [4] S. Aladin and C. Tremblay, “Cognitive tool for estimating the QoT of new lightpaths,” Optical Fiber Communication Conf. (OFC), 2018. (DOI: 10.1364/OFC.2018.M3A.3). 10.1364/OFC.2018.M3A.3

5. [5] M. Zhang, D. Fu, B. Xu, B. Wu, and K. Qiu, “QoT estimation for unestablished lightpaths using artificial neural networks,” Conference on Lasers and Electro-Optics (CLEO), 2018 (DOI: 10.1364/CLEO_AT.2018.JTu2A.32). 10.1364/CLEO_AT.2018.JTu2A.32