Simulation and modelling of C+L+S multiband optical transmission for the OCATA time domain digital twin
This paper is an extended version of our published paper: Khare, P.; Costa, N.; Pedro, J.; Napoli, A.; Arpanaei, F.; Comellas, J.; Ruiz, M.; Velasco, L. SSMS: A Split Step MultiBand Simulation Software. In Proceedings of the IEEE International Conference on Transparent Optical Networks (ICTON), Buch...
| Autores: | , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/429040 |
| Acceso en línea: | https://hdl.handle.net/2117/429040 https://dx.doi.org/10.3390/s25061948 |
| Access Level: | acceso abierto |
| Palabra clave: | Multiband optical transmission Signal propagation modelling Digital twin modelling Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica |
| id |
ES_8a6fc97461c35e81a6edb7055e1202eb |
|---|---|
| oai_identifier_str |
oai:upcommons.upc.edu:2117/429040 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| dc.title.none.fl_str_mv |
Simulation and modelling of C+L+S multiband optical transmission for the OCATA time domain digital twin |
| title |
Simulation and modelling of C+L+S multiband optical transmission for the OCATA time domain digital twin |
| spellingShingle |
Simulation and modelling of C+L+S multiband optical transmission for the OCATA time domain digital twin Khare, Prasunika Multiband optical transmission Signal propagation modelling Digital twin modelling Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica |
| title_short |
Simulation and modelling of C+L+S multiband optical transmission for the OCATA time domain digital twin |
| title_full |
Simulation and modelling of C+L+S multiband optical transmission for the OCATA time domain digital twin |
| title_fullStr |
Simulation and modelling of C+L+S multiband optical transmission for the OCATA time domain digital twin |
| title_full_unstemmed |
Simulation and modelling of C+L+S multiband optical transmission for the OCATA time domain digital twin |
| title_sort |
Simulation and modelling of C+L+S multiband optical transmission for the OCATA time domain digital twin |
| dc.creator.none.fl_str_mv |
Khare, Prasunika Costa, Nelson Ruiz Ramírez, Marc|||0000-0001-6429-6347 Napoli, Antonio Comellas Colomé, Jaume|||0000-0002-9129-0562 Pedro, João|||0000-0003-4471-7401 Velasco Esteban, Luis Domingo|||0000-0002-7345-296X |
| author |
Khare, Prasunika |
| author_facet |
Khare, Prasunika Costa, Nelson Ruiz Ramírez, Marc|||0000-0001-6429-6347 Napoli, Antonio Comellas Colomé, Jaume|||0000-0002-9129-0562 Pedro, João|||0000-0003-4471-7401 Velasco Esteban, Luis Domingo|||0000-0002-7345-296X |
| author_role |
author |
| author2 |
Costa, Nelson Ruiz Ramírez, Marc|||0000-0001-6429-6347 Napoli, Antonio Comellas Colomé, Jaume|||0000-0002-9129-0562 Pedro, João|||0000-0003-4471-7401 Velasco Esteban, Luis Domingo|||0000-0002-7345-296X |
| author2_role |
author author author author author author |
| dc.subject.none.fl_str_mv |
Multiband optical transmission Signal propagation modelling Digital twin modelling Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica |
| topic |
Multiband optical transmission Signal propagation modelling Digital twin modelling Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica |
| description |
This paper is an extended version of our published paper: Khare, P.; Costa, N.; Pedro, J.; Napoli, A.; Arpanaei, F.; Comellas, J.; Ruiz, M.; Velasco, L. SSMS: A Split Step MultiBand Simulation Software. In Proceedings of the IEEE International Conference on Transparent Optical Networks (ICTON), Bucharest, Romania, 2–6 July 2023. |
| publishDate |
2025 |
| dc.date.none.fl_str_mv |
2025 2025-03-01 2025 2025-05-08 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2117/429040 https://dx.doi.org/10.3390/s25061948 |
| url |
https://hdl.handle.net/2117/429040 https://dx.doi.org/10.3390/s25061948 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.relation.none.fl_str_mv |
European Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 956713 Machine LEarning in Optical NeTwORks European Commission http://doi.org/10.13039/501100000780 HE 101096120 SElf-mAnaged Sustainable high-capacity Optical Networks |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.openaire.fl_str_mv |
info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
| publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
| dc.source.none.fl_str_mv |
reponame:UPCommons. Portal del coneixement obert de la UPC instname:Universitat Politècnica de Catalunya (UPC) |
| instname_str |
Universitat Politècnica de Catalunya (UPC) |
| reponame_str |
UPCommons. Portal del coneixement obert de la UPC |
| collection |
UPCommons. Portal del coneixement obert de la UPC |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869412716454608896 |
| spelling |
Simulation and modelling of C+L+S multiband optical transmission for the OCATA time domain digital twinKhare, PrasunikaCosta, NelsonRuiz Ramírez, Marc|||0000-0001-6429-6347Napoli, AntonioComellas Colomé, Jaume|||0000-0002-9129-0562Pedro, João|||0000-0003-4471-7401Velasco Esteban, Luis Domingo|||0000-0002-7345-296XMultiband optical transmissionSignal propagation modellingDigital twin modellingÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òpticaThis paper is an extended version of our published paper: Khare, P.; Costa, N.; Pedro, J.; Napoli, A.; Arpanaei, F.; Comellas, J.; Ruiz, M.; Velasco, L. SSMS: A Split Step MultiBand Simulation Software. In Proceedings of the IEEE International Conference on Transparent Optical Networks (ICTON), Bucharest, Romania, 2–6 July 2023.C+L+S multiband (MB) optical transmission has the potential to increase the capacity of optical transport networks, and thus, it is a possible solution to cope with the traffic increase expected in the years to come. However, the introduction of MB optical technology needs to come together with the needed tools that support network planning and operation. In particular, quality of transmission (QoT) estimation is needed for provisioning optical MB connections. In this paper, we concentrate on modelling MB optical transmission for provide fast and accurate QoT estimation and propose machine learning (ML) approaches based on neural networks, which can be easily integrated into an optical layer digital twin (DT) solution. We start by considering approaches that can be used for accurate signal propagation modelling. Even though solutions such as the split-step Fourier method (SSFM) for solving the nonlinear Schrödinger equation (NLSE) have limited application for QoT estimation during provisioning because of their very high complexity and time consumption, they could be used to generate datasets for ML model creation. However, even that can be hard to carry out on a fully loaded MB system with hundreds of channels. In addition, in MB optical transmission, interchannel stimulated Raman scattering (ISRS) becomes a major effect, which adds more complexity. In view of that, the fourth-order Runge–Kutta in the interaction picture (RK4IP) method, complemented with an adaptive step size algorithm to further reduce the computation time, is evaluated as an alternative to reduce time complexity. We show that RK4IP provided an accuracy comparable to that of the SSFM with reduced computation time, which enables its application for MB optical transmission simulation. Once datasets were generated using the adaptive step size RK4IP method, two ML modelling approaches were considered to be integrated in the OCATA DT, where models predict optical signal propagation in the time domain. Being able to predict the optical signal in the time domain, as it will be received after propagation, opens opportunities for automating network operation, including connection provisioning and failure management. In this paper, we focus on comparing the proposed ML modelling approaches in terms of the models’ general and QoT estimation accuracy.The research leading to these results has received funding from the European Commission MSCA-EID MENTOR (G.A. 956713), from the SNS JU under the European Union’s Horizon Europe SEASON (G.A. 101096120), and from the ICREA Institution.Peer ReviewedMultidisciplinary Digital Publishing Institute (MDPI)20252025-03-0120252025-05-08journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/429040https://dx.doi.org/10.3390/s25061948reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengEuropean Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 956713 Machine LEarning in Optical NeTwORksEuropean Commission http://doi.org/10.13039/501100000780 HE 101096120 SElf-mAnaged Sustainable high-capacity Optical Networksopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4290402026-05-27T15:37:01Z |
| score |
15.812429 |