Make optical transmission quality prediction more effective: A parallel computing view-Reference-Cited by-同舟云学术

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Make optical transmission quality prediction more effective: A parallel computing view

Published:2024-11 Issue: Volume:571 Page:130947
ISSN:0030-4018
Container-title:Optics Communications
language:en
Short-container-title:Optics Communications

Author:

Sun Xiaochuan,Yang Shuohan,Han Jinpeng,Li Yingqi,Meng Qinghong^ORCID

Publisher

Elsevier BV

Reference18 articles.

1. Survey on the use of machine learning for quality of transmission estimation in optical transport networks;Ayassi;J. Lightwave Technol.,2022

2. Quality of transmission estimation and short-term performance forecast of lightpaths;Aladin;J. Lightwave Technol.,2020

3. Machine-learning method for quality of transmission prediction of unestablished lightpaths;Rottondi;J. Opt. Commun. Netw.,2018

4. Machine learning models for estimating quality of transmission in DWDM networks;Morais;J. Opt. Commun. Netw.,2018

5. Artificial intelligence (AI) methods in optical networks: A comprehensive survey;Mata;Opt. Switch. Netw.,2018

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