Linear Regression vs. Deep Learning for Signal Quality Monitoring in Coherent Optical Systems-Reference-Cited by-同舟云学术

Linear Regression vs. Deep Learning for Signal Quality Monitoring in Coherent Optical Systems

Published:2022-08 Issue:4 Volume:14 Page:1-8
ISSN:1943-0655
Container-title:IEEE Photonics Journal
language:
Short-container-title:IEEE Photonics J.

Author:

Fan Yuchuan¹^ORCID,Pang Xiaodan¹^ORCID,Udalcovs Aleksejs²^ORCID,Natalino Carlos³^ORCID,Zhang Lu⁴^ORCID,Spolitis Sandis⁵^ORCID,Bobrovs Vjaceslavs⁵^ORCID,Schatz Richard¹^ORCID,Yu Xianbin⁴^ORCID,Furdek Marija³^ORCID,Popov Sergei¹^ORCID,Ozolins Oskars¹^ORCID

Affiliation:

1. Applied Physics Department, KTH Royal Institute of Technology, Stockholm, Sweden

2. RISE Research Institutes of Sweden, Kista, Sweden

3. Electrical Engineering Department, Chalmers University of Technology, Gothenburg, Sweden

4. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China

5. Institute of Telecommunications, Riga Technical University, Riga, Latvia

Funder

China Scholarship Council

Vetenskapsrådet

RISE SK

European Regional Development Fund

National Key Research and Development Program of China

VINNOVA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Link

http://xplorestaging.ieee.org/ielx7/4563994/9795343/09839494.pdf?arnumber=9839494

Reference29 articles.

1. Joint Symbol Rate-Modulation Format Identification and OSNR Estimation Using Random Forest Based Ensemble Learning for Intermediate Nodes

2. Performance Monitoring and Measurement Techniques for Coherent Optical Systems

3. Optical Performance Monitoring For Fiber‐Optic Communication Networks

4. Error Vector Magnitude as a Performance Measure for Advanced Modulation Formats

5. Estimation of BER from Error Vector Magnitude for Optical Coherent Systems

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