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Accurate Low Complex Modulation Format and Symbol Rate Identification for Autonomous Lightpath Operation
Network automation promises to reduce costs while guaranteeing the required performance; this is paramount when dealing with the forecasted highly dynamic traffic that will be generated by new 5G/6G applications. In optical networks, autonomous lightpath operation entails that the optical receiver c...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739913/ https://www.ncbi.nlm.nih.gov/pubmed/36501953 http://dx.doi.org/10.3390/s22239251 |
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author | Sequeira, Diogo Ruiz, Marc Costa, Nelson Napoli, Antonio Pedro, João Velasco, Luis |
author_facet | Sequeira, Diogo Ruiz, Marc Costa, Nelson Napoli, Antonio Pedro, João Velasco, Luis |
author_sort | Sequeira, Diogo |
collection | PubMed |
description | Network automation promises to reduce costs while guaranteeing the required performance; this is paramount when dealing with the forecasted highly dynamic traffic that will be generated by new 5G/6G applications. In optical networks, autonomous lightpath operation entails that the optical receiver can identify the configuration of a received optical signal without necessarily being configured from the network controller. This provides relief for the network controller from real-time operation, and it can simplify the operation in multi-domain scenarios, where an optical connection spans across more than one domain. Consequently, in this work, we propose a blind and low complex modulation format (MF) and symbol rate (SR) identification algorithm. The algorithm is based on studying the effects of decoding an optical signal with different MFs and SRs. Extensive MATLAB-based simulations have been carried out which consider a coherent wavelength division multiplexed system based on 32 and 64 quadrature amplitude modulated signals at up to 96 GBd, thus enabling bit rates of up to 800 Gb/s/channel. The results show remarkable identification accuracy in the presence of linear and nonlinear noise for a wide range of feasible configurations. |
format | Online Article Text |
id | pubmed-9739913 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97399132022-12-11 Accurate Low Complex Modulation Format and Symbol Rate Identification for Autonomous Lightpath Operation Sequeira, Diogo Ruiz, Marc Costa, Nelson Napoli, Antonio Pedro, João Velasco, Luis Sensors (Basel) Article Network automation promises to reduce costs while guaranteeing the required performance; this is paramount when dealing with the forecasted highly dynamic traffic that will be generated by new 5G/6G applications. In optical networks, autonomous lightpath operation entails that the optical receiver can identify the configuration of a received optical signal without necessarily being configured from the network controller. This provides relief for the network controller from real-time operation, and it can simplify the operation in multi-domain scenarios, where an optical connection spans across more than one domain. Consequently, in this work, we propose a blind and low complex modulation format (MF) and symbol rate (SR) identification algorithm. The algorithm is based on studying the effects of decoding an optical signal with different MFs and SRs. Extensive MATLAB-based simulations have been carried out which consider a coherent wavelength division multiplexed system based on 32 and 64 quadrature amplitude modulated signals at up to 96 GBd, thus enabling bit rates of up to 800 Gb/s/channel. The results show remarkable identification accuracy in the presence of linear and nonlinear noise for a wide range of feasible configurations. MDPI 2022-11-28 /pmc/articles/PMC9739913/ /pubmed/36501953 http://dx.doi.org/10.3390/s22239251 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sequeira, Diogo Ruiz, Marc Costa, Nelson Napoli, Antonio Pedro, João Velasco, Luis Accurate Low Complex Modulation Format and Symbol Rate Identification for Autonomous Lightpath Operation |
title | Accurate Low Complex Modulation Format and Symbol Rate Identification for Autonomous Lightpath Operation |
title_full | Accurate Low Complex Modulation Format and Symbol Rate Identification for Autonomous Lightpath Operation |
title_fullStr | Accurate Low Complex Modulation Format and Symbol Rate Identification for Autonomous Lightpath Operation |
title_full_unstemmed | Accurate Low Complex Modulation Format and Symbol Rate Identification for Autonomous Lightpath Operation |
title_short | Accurate Low Complex Modulation Format and Symbol Rate Identification for Autonomous Lightpath Operation |
title_sort | accurate low complex modulation format and symbol rate identification for autonomous lightpath operation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739913/ https://www.ncbi.nlm.nih.gov/pubmed/36501953 http://dx.doi.org/10.3390/s22239251 |
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