Machine learning techniques for quality of transmission estimation in optical networks

被引：73

作者：

Pointurier, Yvan ^{[1
]}

机构：

[1] Huawei Technol France, 20 Quai Point Jour, F-92100 Boulogne Billancourt, France

来源：

JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING | 2021年 / 13卷 / 04期

关键词：

DIGITAL COHERENT RECEIVERS; DEEP NEURAL-NETWORK; QOT ESTIMATION; NONLINEAR NOISE; JOINT OSNR; PREDICTION; LONG; PARAMETERS; MODEL;

D O I：

10.1364/JOCN.417434

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. (C) 2021 Optical Society of America

引用

页码：B60 / B71

页数：12

共 50 条

[31] Utilizing machine learning techniques for enhanced water quality monitoring
Yigit, Gozde Ozsert
Baransel, Cesur
WATER QUALITY RESEARCH JOURNAL, 2024, 59 (04) : 187 - 204
[32] Heart Failure: Diagnosis, Severity Estimation and Prediction of Adverse Events Through Machine Learning Techniques
Tripoliti, Evanthia E.
Papadopoulos, Theofilos G.
Karanasiou, Georgia S.
Naka, Katerina K.
Fotiadis, Dimitrios I.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2017, 15 : 26 - 47
[33] Qualitative and quantitative assessment of apple quality using bulk optical properties in combination with machine learning and chemometrics techniques
Tian, Kai
Zhu, Weijie
Wang, Minjie
Chen, Ting
Li, Fuqi
Xie, Jianchao
Peng, Yumeng
Sun, Tong
Zhou, Guoquan
Hu, Dong
LWT-FOOD SCIENCE AND TECHNOLOGY, 2024, 211
[34] Dual-Stage Planning for Elastic Optical Networks Integrating Machine-Learning-Assisted QoT Estimation
Salani, Matteo
Rottondi, Cristina
Cere, Leopoldo
Tornatore, Massimo
IEEE-ACM TRANSACTIONS ON NETWORKING, 2023, 31 (03) : 1293 - 1307
[35] Ambient Air Quality Estimation using Supervised Learning Techniques
Sethi, Jasleen Kaur
Mittal, Mamta
EAI ENDORSED TRANSACTIONS ON SCALABLE INFORMATION SYSTEMS, 2019, 6 (22) : 1 - 10
[36] Estimation of daily bicycle traffic using machine and deep learning techniques
Md Mintu Miah
Kate Kyung Hyun
Stephen P. Mattingly
Hannan Khan
Transportation, 2023, 50 : 1631 - 1684
[37] Estimation of rubberized concrete frost resistance using machine learning techniques
Gao, Xifeng
Yang, Jian
Zhu, Han
Xu, Jie
CONSTRUCTION AND BUILDING MATERIALS, 2023, 371
[38] Estimation of daily bicycle traffic using machine and deep learning techniques
Miah, Md Mintu
Hyun, Kate Kyung
Mattingly, Stephen P.
Khan, Hannan
TRANSPORTATION, 2023, 50 (05) : 1631 - 1684
[39] A survey on QoT prediction using machine learning in optical networks
Zhang, Lu
Li, Xin
Tang, Ying
Xin, Jingjie
Huang, Shanguo
OPTICAL FIBER TECHNOLOGY, 2022, 68
[40] SOON: self-optimizing optical networks with machine learning
Zhao, Yongli
Yan, Boyuan
Liu, Dongmei
He, Yongqi
Wang, Dajiang
Zhang, Jie
OPTICS EXPRESS, 2018, 26 (22): : 28713 - 28726

← 1 2 3 4 5 →