Real-Time Detection of Fiber Bending and/or Optical Filter Shift by Machine-Learning of Tapped Raw Digital Coherent Optical Signals-Reference-Cited by-同舟云学术

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Real-Time Detection of Fiber Bending and/or Optical Filter Shift by Machine-Learning of Tapped Raw Digital Coherent Optical Signals

Published:2023-11-01 Issue:11 Volume:E106.B Page:1065-1073
ISSN:0916-8516
Container-title:IEICE Transactions on Communications
language:en
Short-container-title:IEICE Trans. Commun.

Author:

NISHIKAWA Yuichiro¹,NISHIJIMA Shota¹,HIRANO Akira¹

Affiliation:

1. Tokyo Denki University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

https://www.jstage.jst.go.jp/article/transcom/E106.B/11/E106.B_2022OBP0002/_pdf

Reference20 articles.

1. [1] “An Introduction to Network Slicing,” GSMA, https://www.gsma.com/futurenetworks/resources/an-introduction-to-network-slicing-2/

2. [2] A.P. Vela, L. Gifre, O.G. De Dios, M. Ruiz, and L. Velasco, “CASTOR: A monitoring and data analytics framework to help operators understand what is going on in their networks,” 2018 European Conference on Optical Communication (ECOC), 2018. 10.1109/ecoc.2018.8535500

3. [3] B. Shariati, M. Ruiz, J. Comellas, and L. Velasco, “Learning from the optical spectrum: Failure detection and identification,” J. Lightw. Technol., vol.37, no.2, pp.433-440, Jan. 2019. 10.1109/jlt.2018.2859199

4. [4] T. Tanaka, A. Hirano, S. Kobayashi, T. Oda, S. Kuwabara, A. Lord, P. Gunning, O.G. de Dios, V. Lopez, A.M.L. de Lerma, and A. Manzalini, “Autonomous network diagnosis from the carrier perspective,” J. Opt. Commun. Netw., vol.12, no.1, pp.A9-A17, Jan. 2020. 10.1364/jocn.12.0000a9

5. [5] S. Yan, A. Aguado, Y. Ou, R. Wang, R. Nejabati, and D. Simeonidou, “Multi-layer network analytics with SDN-based monitoring framework,” J. Opt. Commun. Netw., vol.9, no.2, pp.A271-279, 2017. 10.1364/jocn.9.00a271

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