Machine learning techniques for quality of transmission estimation in optical networks
The estimation of the quality of transmission (QoT) in optical systems with machine learning (ML) has recently been the focus of a large body of research. We discuss the sources of inaccuracy in QoT estimation in general; we propose a taxonomy for ML-aided QoT estimation; we briefly review ML-aided...
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| Published in | Journal of optical communications and networking Vol. 13; no. 4; pp. B60 - B71 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Piscataway
Optica Publishing Group
01.04.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1943-0620 1943-0639 |
| DOI | 10.1364/JOCN.417434 |
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| Abstract | The estimation of the quality of transmission (QoT) in optical systems with machine learning (ML) has recently been the focus of a large body of research. We discuss the sources of inaccuracy in QoT estimation in general; we propose a taxonomy for ML-aided QoT estimation; we briefly review ML-aided optical performance monitoring, a tightly related topic; and we review and compare all recently published ML-aided QoT articles. |
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| AbstractList | The estimation of the quality of transmission (QoT) in optical systems with machine learning (ML) has recently been the focus of a large body of research. We discuss the sources of inaccuracy in QoT estimation in general; we propose a taxonomy for ML-aided QoT estimation; we briefly review ML-aided optical performance monitoring, a tightly related topic; and we review and compare all recently published ML-aided QoT articles. |
| Author | Pointurier, Yvan |
| Author_xml | – sequence: 1 givenname: Yvan orcidid: 0000-0002-7612-4814 surname: Pointurier fullname: Pointurier, Yvan organization: Huawei Technologies France, 20 quai du Point du Jour, 92100 Boulogne-Billancourt, France (yvan@ieee.org) |
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| Title | Machine learning techniques for quality of transmission estimation in optical networks |
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