Future Optical Networks for Innovation, Research and Experimentation

Leistungen

This report outlines the progress in research of ESR1, achievements in relations to the plan, and identifies the way ahead.

WP2 research report II

This report summarizes the attained results by the ESR2 as well as discusses potential enhancements of the proposed mechanismsalgorithms to be explored

Integration and final experimental validation

This deliverable reports on the integration and experimentations carried out within ONFIRE discussing benefits and limitations of the proposed solutions towards an actual implementation of SDNcontrolled network with disaggregated data plane and cognition capabilities

Consolidated state of the art survey and individual research proposal of ESR1

This report, under their IS, AS, AcS and UT supervision, engages the ESRs in a deep study of the field and enables them to identify open problems and methods leading to the ONFIRE goals.

Report on data plane experiments.

This report provides experimental results on the proposed systemsubsystem elements and solutions for disaggregated optical networks A plan of interworking experiments focusing on data plane aspects will also be provided

Dissemination and public engagement plan

The plan provides specific procedures for disseminating the project results to the scientific and industrial community, and how to engage the general public.

Consolidated state of the art survey and individual research proposal of ESR2

This document will be used by the ESR2 to state the pillars for deploying the global cognitive solution. This effort will be basic to identify gaps and open problems mainly related to the processing of available collected information, end-to-end objectives to be ensured (QoS, QoT, QoE, etc.), principal elements and functions to be executed in the aimed cognitive system, interaction with the SDN control, etc.

Report on control plane experiments.

This report provides experimental results on the proposed algorithms and mechanisms for cognitive SDNcontrolled optical networks A plan of interworking experiments focusing on control plane aspects will also be provided

Final report on dissemination and public engagement activities II

The report describes and evaluates the dissemination public and industrial outreach activities carried out

WP2 research Report I

This report outlines the progress in the research activities conducted by the ESR2 outlining the achievements in relations to the plan, and identifies the way ahead as well as potential deviations.

Mid-term report on dissemination and public engagement I

The report describes and evaluates the dissemination, public and industrial outreach activities carried out.

WP1 research report II

This report outlines the progress in research of each ESR achievements in relations to the plan and identifies the way ahead

Veröffentlichungen

Modeling EDFA Gain Ripple and Filter Penalties With Machine Learning for Accurate QoT Estimation

Autoren: Ankush Mahajan, Konstantinos Christodoulopoulos, Ricardo Martinez, Salvatore Spadaro, Raul Munoz
Veröffentlicht in: Journal of Lightwave Technology, Ausgabe 38/9, 2020, Seite(n) 2616-2629, ISSN 0733-8724
Herausgeber: Optical Society of America
DOI: 10.1109/JLT.2020.2975081

Spectral processing techniques for efficient monitoring in optical networks

Autoren: Fabiano Locatelli, Konstantinos Christodoulopoulos, Michela Svaluto Moreolo, Josep M. Fàbrega, Laia Nadal, Salvatore Spadaro
Veröffentlicht in: Journal of Optical Communications and Networking, Ausgabe 13/7, 2021, Seite(n) 158, ISSN 1943-0620
Herausgeber: Optical Society of America
DOI: 10.1364/jocn.418800

Machine Learning-Based in-Band OSNR Estimation From Optical Spectra

Autoren: Fabiano Locatelli, Konstantinos Christodoulopoulos, Michela Svaluto Moreolo, Josep M. Fabrega, Salvatore Spadaro
Veröffentlicht in: IEEE Photonics Technology Letters, Ausgabe 31/24, 2019, Seite(n) 1929-1932, ISSN 1041-1135
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/LPT.2019.2950058

Quality of transmission estimator retraining for dynamic optimization in optical networks

Autoren: Ankush Mahajan, Konstantinos (Kostas) Christodoulopoulos, Ricardo Martínez, Raul Muñoz, Salvatore Spadaro
Veröffentlicht in: Journal of Optical Communications and Networking, Ausgabe 13/4, 2021, Seite(n) B45, ISSN 1943-0620
Herausgeber: Optical Society of America
DOI: 10.1364/jocn.411524

Impact of Multi-Vendor Transponders Performance on Design Margin in Optical Networks

Autoren: Ankush Mahajan, Konstantinos Christodoulopoulos, Ricardo Martinez, Raul Munoz, Salvatore Spadaro
Veröffentlicht in: IEEE Access, Ausgabe 9, 2021, Seite(n) 118927-118940, ISSN 2169-3536
Herausgeber: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3107296

Experimental Demonstration of a Machine Learning-Based in-band OSNR Estimator from Optical Spectra

Autoren: Fabiano Locatelli, Konstantinos Christodoulopoulos, Josep M. Fabrega, Michela Svaluto Moreolo, Laia Nadal, Salvatore Spadaro
Veröffentlicht in: 2020 International Conference on Optical Network Design and Modeling (ONDM), Ausgabe 18-21 May 2020, 2020, Seite(n) 1-4, ISBN 978-3-903176-21-8
Herausgeber: IEEE
DOI: 10.23919/ONDM48393.2020.9133001

Improving QoT Estimation Accuracy with DGE Monitoring using Machine Learning

Autoren: Ankush Mahajan, Kostas Christodoulopoulos, Ricardo Martinez, Salvatore Spadaro, Raul Munoz
Veröffentlicht in: 2020 International Conference on Optical Network Design and Modeling (ONDM), Ausgabe 18-21 May 2020, 2020, Seite(n) 1-6, ISBN 978-3-903176-21-8
Herausgeber: IEEE
DOI: 10.23919/ONDM48393.2020.9133025

Machine Learning Assisted EDFA Gain Ripple Modelling for Accurate QoT Estimation

Autoren: A. Mahajan, K. Christodoulopoulos, R. Martinez, S. Spadaro, R. Munoz
Veröffentlicht in: 45th European Conference on Optical Communication (ECOC 2019), 2019, Seite(n) 250 (4 pp.)-250 (4 pp.), ISBN 978-1-83953-185-9
Herausgeber: Institution of Engineering and Technology
DOI: 10.1049/cp.2019.0984

Data plane elements for optical performance monitoring agnostic to the modulation format for disaggregated optical networks

Autoren: Fàbrega, Josep M.; Locatelli, Fabiano; Nadal, Laia; Christodoloupoulos, Konstantinos; Svaluto-Moreolo, Michela; Spadaro, Salvatore
Veröffentlicht in: in Proceedings of International Conference on Transparent Optical Networks (ICTON) 2020, 19-23 July, virtual event., Ausgabe 19-23 July 2020, 2020
Herausgeber: IEEE
DOI: 10.5281/zenodo.4041637

Modelling Multi-Vendor Transponders Performance and Optimizing Launch Power

Autoren: Ankush Mahajan, Konstantinos Christodoulopoulos, Ricardo Martinez, Salvatore Spadaro, Raul Munoz
Veröffentlicht in: 2020 European Conference on Optical Communications (ECOC), 2020, Seite(n) 1-4, ISBN 978-1-7281-7361-0
Herausgeber: IEEE
DOI: 10.1109/ecoc48923.2020.9333309

Modeling Filtering Penalties in ROADM-based Networks with Machine Learning for QoT Estimation

Autoren: Ankush Mahajan, Kostas Christodoulopoulos, Ricardo Martinez, Salvatore Spadaro, Raul Munoz
Veröffentlicht in: Optical Fiber Communication Conference (OFC) 2020, Ausgabe 8-12 March 2020, 2020, Seite(n) Th3D.4, ISBN 978-1-943580-71-2
Herausgeber: OSA
DOI: 10.1364/ofc.2020.th3d.4

Adaptive and Iterative QoT Estimator Retraining for Launch Power Optimization

Autoren: Mahajan, Ankush; Christodoulopoulos, Kostas; Martínez, Ricardo; Muñoz, Raül; Spadaro, Salvatore
Veröffentlicht in: Optical Fiber Communication Conference (OFC), Ausgabe 8–11 June 2021, 2021
Herausgeber: Optical Society of America
DOI: 10.5281/zenodo.4757280

Filter Features Extraction from Optical Spectra

Autoren: Locatelli, Fabiano; Christodoulopoulos, Konstantinos; Fàbrega, Josep Ma.; Svaluto-Moreolo, Michela; Nadal, Laia; Spadaro, Salvatore
Veröffentlicht in: European Conference on Optical Communication (ECOC), Ausgabe 6-10 December 2020, 2020
Herausgeber: IEEE
DOI: 10.1109/ecoc48923.2020.9333342

Leistungen

Veröffentlichungen

Diese Seite teilen

Herunterladen