Machine LEarning in Optical NeTwORks

Informazioni relative al progetto

MENTOR

ID dell’accordo di sovvenzione: 956713

DOI

10.3030/956713

Progetto chiuso

Data della firma CE 20 Luglio 2020

Data di avvio 1 Gennaio 2021

Data di completamento 31 Dicembre 2024

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 1 625 503,68

Contributo UE

€ 1 625 503,68

Coordinato da

ASTON UNIVERSITY
United Kingdom

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (27)

Open to all Workshop III (OTAW III) (details on courses provided and ESR attendance record)

Open workshop

Interim report on publications and public engagement activities completed

Interim report on publications and public engagementactivities completed

Report on use cases definition
Initial implementation including the SDN controller with MB- extensions and the agents
Final MENTOR workshop (details on courses provided and ESR attendance record)
The pruning/sparsification strategy for the MB optical line elements

The pruningsparsification strategy for the MB optical line elements

6 Doctoral degrees awarded
Experimental demonstration and assessment of control and management plane for ultra-wide band optical networks
Open-to-all Workshop 1 (OTAW I) (details on courses provided and ESR attendance record

Opentoall Workshop 1 OTAW I details on courses provided and ESR attendance record

Machine learning based laser noise characterization
1st year MENTOR workshop and TSW I (details on courses provided)

1st year MENTOR workshop and TSW I details on courses provided

TSW III (details on courses provided and ESR attendance record)
3rd year MENTOR workshop (details on courses provided and ESR attendance record)
Mid-Term Report for Mid-Term Review submitted to EC

MidTerm Report for MidTerm Review submitted to EC

Progress Report 1 submitted to EC
The augmentation strategy for the MB optical line elements
Machine learning framework for inverse system design of laser source and amplifiers
2nd year MENTOR workshop (details on courses provided and ESR attendance record)

2nd year MENTOR workshop details on courses provided and ESR attendance record

Methods for the sparse traffic augmentation in optical networks.
Final report on publications and public engagement activities completed
Report on data generation and distributed intelligence
Progress Report 2 submitted to EC
Routing and spectrum assignment strategies for ultra- wideband optical networks

Routing and spectrum assignment strategies for ultra wideband optical networks

Report on the implementation of distributed intelligence
Experimental demonstration of benefits by using inverse system design
Experimental demonstration of ML-based methods with reduced complexity
Final implementation of control and management plane for ultra-wide band optical networks

Websites, patent fillings, videos etc. (1)

MENTOR website completed

Pubblicazioni

Peer reviewed articles (11)

Data Augmentation to Improve Performance of Neural Networks for Failure Management in Optical Networks

Autori: Lareb Zar Khan, Joao Pedro, Nelson Costa, Antonio Napoli, Lorenzo De Marinis, and Nicola Sambo
Pubblicato in: Journal of Optical Communications and Networking, Numero Volume 15, Numero 1, 2023, Pagina/e 57-67, ISSN 1943-0620
Editore: Optical Society of America
DOI: 10.1364/jocn.472605

Network upgrade exploiting multi band: S- or E-band?

Autori: Nicola Sambo; Bruno Correia; Antonio Napoli; João Pedro; Leily Kiani; Piero Castoldi; Vittorio Curri
Pubblicato in: Journal of Optical Communications and Networking, Numero Volume 14, Numero 9, September 2022, 2022, Pagina/e 749-756, ISSN 1943-0620
Editore: Optical Society of America
DOI: 10.1364/jocn.464386

Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrays

Autori: Pedro J. Freire, Sasipim Srivallapanondh, Michael Anderson, Bernhard Spinnler, Thomas Bex, Tobias A. Eriksson, Antonio Napoli, Wolfgang Schairer, Nelson Costa, Michaela Blott, Sergei K. Turitsyn, Jaroslaw E. Prilepsky
Pubblicato in: Journal of Lightwave Technology, Numero 41, 2023, Pagina/e 3797-3815, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2023.3272011

Applications of the OCATA time domain digital twin: from QoT estimation to failure management

Autori: M. Devigili, M. Ruiz, N. Costa, C. Castro, A. Napoli, J. Pedro, L. Velasco
Pubblicato in: Journal of Optical Communications and Networking, Numero 16, 2024, Pagina/e 221, ISSN 1943-0620
Editore: Optical Society of America
DOI: 10.1364/jocn.507128

Digital Twin-Assisted Lightpath Provisioning and Nonlinear Mitigation in C+L+S Multiband Optical NetworksSensors, MDPI Switzerland, 17 December 2024. Open access here.

Autori: S. Ghasrizadeh, P. Khare, N. Costa, M. Ruiz, A. Napoli, J. Pedro, L. Velasco
Pubblicato in: Sensors, Numero 17 December 2024, 2024, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)

Parallelization of Recurrent Neural Network-Based Equalizer for Coherent Optical Systems via Knowledge Distillation

Autori: Sasipim Srivallapanondh, Pedro J. Freire, Bernhard Spinnler, Nelson Costa, Antonio Napoli, Sergei K. Turitsyn, Jaroslaw E. Prilepsky
Pubblicato in: Journal of Lightwave Technology, Numero 42, 2024, Pagina/e 2275-2284, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2023.3337604

Experimental validation of XPM mitigation using a generalizable multi-task learning neural network

Autori: Sasipim Srivallapanondh, Pedro Freire, Bernhard Spinnler, Nelson Costa, Wolfgang Schairer, Antonio Napoli, Sergei K. Turitsyn, Jaroslaw E. Prilepsky
Pubblicato in: Optics Letters, Numero 49, 2024, Pagina/e 6900, ISSN 0146-9592
Editore: Optical Society of America
DOI: 10.1364/ol.535396

Model and data-centric machine learning algorithms to address data scarcity for failure identification

Autori: Lareb Zar Khan, João Pedro, Nelson Costa, Andrea Sgambelluri, Antonio Napoli, Nicola Sambo
Pubblicato in: Journal of Optical Communications and Networking, Numero 16, 2024, Pagina/e 369, ISSN 1943-0620
Editore: Optical Society of America
DOI: 10.1364/jocn.511863

Low complexity neural network equalizer for nonlinearity mitigation in digital subcarrier multiplexing systems

Autori: Sasipim Srivallapanondh, Pedro Freire, Giuseppe Parisi, Mariano Devigili, Nelson Costa, Bernhard Spinnler, Antonio Napoli, Jaroslaw E. Prilepsky, Sergei K. Turitsyn
Pubblicato in: Optics Express, Numero 33, 2025, Pagina/e 2558, ISSN 1094-4087
Editore: Optical Society of America
DOI: 10.1364/oe.542061

Twining Digital Subcarrier Multiplexed Optical Signals with OCATA for Lightpath Provisioning

Autori: Mariano Devigili, Diogo Sequeira, Pablo Torres-Ferrera, Sasipim Srivallapanondh, Nelson Costa, Marc Ruiz, Carlos Castro, Antonio Napoli, João Pedro, Luis Velasco
Pubblicato in: Journal of Lightwave Technology, 2024, Pagina/e 1-10, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2024.3498342

Computational Complexity Optimization of Neural Network-Based Equalizers in Digital Signal Processing: A Comprehensive Approach

Autori: Pedro J. Freire, Sasipim Srivallapanondh, Bernhard Spinnler, Antonio Napoli, Nelson Costa, Jaroslaw E. Prilepsky, and Sergei K. Turitsyn
Pubblicato in: Journal of Lightwave Technology, Numero 15 June 2024, 2024, Pagina/e Volume 42, Numero: 12, 4177-4201, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2024.3386886

Conference proceedings (22)

Multi-band Optical Network Assisted by GNPy: an Experimental Demonstration

Autori: Mariano Devigili, P. Nadimi Goki, N. Sambo, P. Castoldi, L. Potì, A. D’Amico, and V. Curri
Pubblicato in: IEEE Latin-American Conference on Communications, LATINCOM, Numero 30 November 2022 to 2 December 2022, 2023, ISBN 978-80-8075-477-8
Editore: IEEE
DOI: 10.1109/latincom56090.2022.10000774

Optimizing Deep Learning-based Failure Management in Optical Networks by Monitoring Relative Neural Activity

Autori: Lareb Zar Khan; Andrea Sgambelluri; Lorenzo De Marinis; Nicola Sambo
Pubblicato in: ONDM Conference, Madrid, Numero May 2024, 2024
Editore: IEEE

Degradation Detection and Severity Estimation by Exploiting an Optical Time and Frequency Digital Twin

Autori: M. Devigili, M. Ruiz, S. Barzegar, N. Costa, A. Napoli, J. Pedro, L. Velasco
Pubblicato in: Optical Fiber Communication Conference (OFC) 2023, 2023, Pagina/e W2A.18
Editore: Optica Publishing Group
DOI: 10.1364/ofc.2023.w2a.18

Dealing with High Cardinality of Network Management System Data for Machine-Learning-Based Alarm Classification

Autori: Lareb Zar Khan, Triki Ahmed, Maxime Laye, Nicola Sambo
Pubblicato in: International Conference on Optical Network Design and Modelling ONDM Conference, Portugal, Numero 11 May 2023, 2024
Editore: ONDM Conference

State-of-the-Art Neural Network-Based Equalizers for Coherent Optical Communication Systems: Architectures and Complexity

Autori: Srivallapanondh, S., Freire, P., Napoli, A., Prilepsky, J., & Turitsyn S
Pubblicato in: SBFoton, International Optics and Photonics Conference, Salvador, Brazil, 11-13 November 2024, 2024
Editore: Optica

Dual Time and Frequency Domain Optical Layer Digital Twin

Autori: Mariano Devigili, Marc Ruiz, Nelson Costa, Antonio Napoli, João Pedro, Luis Velasco,
Pubblicato in: 2022 European Conference on Optical Communication (ECOC) Technical Digest Series (Optica Publishing Group, 2022), paper Tu5.42, Numero 18-22 September 2022, 2022, ISBN 978-1-957171-15-9
Editore: IEEE

Experimental Validation of Deep Learning-based Models for Optical Time Domain Analysis

Autori: Devigili, M; Sequeira, D; Santos, C; Ruiz, M; Shariati, B; Costa, N; Napoli, A; Pedro, J; Fischer, J; Velasco, L
Pubblicato in: CLEO: Science and Innovations, Numero May 2023, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.8354995

Extending the OCATA Digital Twin to the Frequency Domain

Autori: Devigili, M; Ruiz, M; Costa, N; Castro, C; Napoli, A; Pedro, J; Velasco, L
Pubblicato in: ICTON Conference, Romania, Numero July 2023, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.8355043

SSMS: A Split Step MultiBand Simulation Software

Autori: Khare P; Costa, N; Pedro, J; Napoli, A; Arpanaei, F; Comellas, J; Ruiz, M; Velaco, L
Pubblicato in: Icton, Bucharest, Romania, Numero 2-6 July 2023, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.8359483

Applications of Digital Twin for Autonomous Zero- Touch Optical Networking [Invited]

Autori: Luis Velasco; Mariano Devigili; Marc Ruiz
Pubblicato in: Zenodo, Numero Conference Paper, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.7876110

Data Augmentations to Reduce Computational Complexity of Neural Network Based soft failure cause identifier

Autori: Lareb Khan, Joao Pedro, Pedro Freire, Nelson Costa, Antonio Napoli, Nicola Sambo
Pubblicato in: Optical Fiber Communication Conference (OFC) 2023 Technical Digest Series (Optica Publishing Group, 2023), paper M3G.3, 2023, ISBN 978-1-957171-18-0
Editore: Optica Publishing Group
DOI: 10.1364/ofc.2023.m3g.3

Multi-Task Learning to Enhance Generalizability of Neural Network Equalizers in Coherent Optical Systems

Autori: Srivallapanondh, Sasipim; Freire, Pedro J; Alam, Ashraful; Costa, Nelson; Spinnler, Bernhard; Napoli, Antonio; Sedov, Egor; Turitsyn, Sergei K; Prilepsky, Jaroslaw E
Pubblicato in: Poster, Numero 1, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.10041293

Optical Network Alarms Classification using Unsupervised Machine Learning

Autori: Lareb Zar Khan, Ahmed Triki, Maxim Laye and Nicola Sambo
Pubblicato in: 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), Numero 3-6 July 2022, 2022, ISBN 978-1-6654-8606-4
Editore: IEEE
DOI: 10.23919/oecc/psc53152.2022.9849872

Routing and Spectrum Assignment Assisted by Reinforcement Learning in Multi-Band Optical Networks

Autori: Abdennour Ben Terki, Joao Pedro, Antonio Eira, Antonio Napoli, and Nicola Sambo
Pubblicato in: European Conference on Optical Communication (ECOC) Technical Digest Series (Optica Publishing Group, 2022), paper Tu5.63, Numero 18-22 September 2022, 2022, ISBN 978-1-6654-7557-0
Editore: IEEE

Data augmentation to Improve Machine Learning for Optical network failure management

Autori: Lareb Zar Khan, Joao Pedro, Nelson Costa, Antonio Napoli, and Nicola Sambo
Pubblicato in: 2022 European Conference on Optical Communication (ECOC), Numero 18-22 September 2022, 2022, ISBN 978-1-6654-7557-0
Editore: IEEE

The Potential of Data Augmentation for Failure Management in Optical Networks

Autori: N. Sambo, L. Z. Khan, J. Pedro, N. Costa, L. De Marinis, and A. Napoli,
Pubblicato in: Advanced Photonics Congress 2023, 2023, Pagina/e Paper NeM3B.1.
Editore: Optica Publishing Group, 2023

Using the OCATA Digital Twin to Improve QoT of Optical Connections in Multiband Optical Networks

Autori: Sadegh Ghasrizadeh, Prasunika Khare, Marc Ruiz, and Luis Velasco
Pubblicato in: The International Conference on Transparent Optical Networks (ICTON), 2024, Numero 2024, 2024
Editore: The International Conference on Transparent Optical Networks (ICTON), 2024

Hardware Realization of Nonlinear Activation Functions for NN-based Optical Equalizers

Autori: Sasipim Srivallapanondh, Pedro J. Freire, Antonio Napoli, Sergei K. Turitsyn, Jaroslaw E. Prilepsky
Pubblicato in: Conference on Lasers & Electro-Optics 2023, Numero 12 May 2023, 2023
Editore: Arxiv
DOI: 10.48550/arxiv.2305.09495

Multi-Task Learning to Enhance Generalizability of Neural Network Equalizers in Coherent Optical Systems

Autori: Sasipim Srivallapanondh, Pedro J. Freire, Ashraful Alam, Nelson Costa, Bernhard Spinnler, Antonio Napoli, Egor Sedov, Sergei K. Turitsyn, Jaroslaw Prilepsky.
Pubblicato in: European Conference on Optical Communication (ECOC), Glasgow, 1 October 2023, Numero 2023, 2023
Editore: Arxiv

Deep Reinforcement Learning for Resource Allocation in Multi-Band Optical Networks

Autori: Abdennour Ben Terki, João Pedro, António Eira, Antonio Napoli, Nicola Sambo
Pubblicato in: 2024 International Conference on Optical Network Design and Modeling (ONDM), Numero 2024, 2024, Pagina/e 1-4
Editore: IEEE
DOI: 10.23919/ondm61578.2024.10582635

Towards Zero-Touch Optical Multiband Networking with the OCATA Optical Time Domain Digital Twin

Autori: Prasunika Khare, Sadegh Ghasrizadeh, Mariano Devigili, Marc Ruiz, Luis Velasco
Pubblicato in: The International Conference on Transparent Optical Networks (ICTON), 14 July 2024., 2024
Editore: UPC, Spain

Extending the OCATA Digital Twin for Optical Connections based on Digital Subcarrier Multiplexing

Autori: Mariano Devigili; D Sequeira; Marc Ruiz; Nelson Costa; Carlos Castro; Antonio Napoli; Joao Pedro; Luis Velasco
Pubblicato in: The Optical Fiber Communication Conference (OFC), San Diego, 2024
Editore: Zenodo

Other (8)

Model-Centric versus Data-Centric Machine Learning for Soft-Failure Cause Identification in Optical Networks

Autori: Zar Khan, Lareb; Pedro, Joao; Costa, Nelson; Napoli, Antonio; Sambo, Nicola
Pubblicato in: Poster, Numero 1, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.10063814

Routing and Spectrum Assignment Assisted by Reinforcement Learning in Multi-band Optical Networks

Autori: Abdennour Ben Terki, Joao Pedro, Antonio Eira, Antonio Napoli, Nicola Sambo
Pubblicato in: Poster, 2022
Editore: Zenodo
DOI: 10.5281/zenodo.8314357

Synthetic Measurements of Single Carrier and Digital Subcarrier Multiplexing Optical Signals

Autori: Mariano Devigili, Marc Ruiz Ramírez, Esteban Velasco, Luis Domingo
Pubblicato in: Data set, 2024
Editore: CORA at UPC, funder acknowledgement in Readme.txt file

Computational Complexity Evaluation of Neural Network Applications in Signal Processing

Autori: Pedro J. Freire, Sasipim Srivallapanondh, Antonio Napoli, Jaroslaw E. Prilepsky, Sergei K. Turitsyn
Pubblicato in: Arxiv, Numero 24 June 2022, 2022
Editore: Cornwell University
DOI: 10.48550/arxiv.2206.12191

Dealing with High Cardinality of Network Management System Data for Machine-Learning-Based Alarm Classification

Autori: Zar Khan, Lareb; Triki, Ahmed; Laye, Maxime; Sambo, Nicola
Pubblicato in: Poster, Numero 1, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.10060944

Simulation and experimental data of frequency domain and time domain optical signal measurements for optical network digital twins

Autori: Marc Ruiz Ramírez, Esteban Velasco, Luis Domingo, Mariano Devigili,Behnam Shariati; Karl Johannes Fischer; Caio Marciano Santos
Pubblicato in: Data set, 2024
Editore: CORA at UPC, funder acknowledgement in Readme.txt file

Ultrafast Predictions of Power Evolution and Gain Spectra in Bidirectional-Pumped Fiber Raman Amplifiers Employing Neural Networks-based Solvers

Autori: Li Zhang, Erwan Pincemin, Naveena Genay, Darko Zibar
Pubblicato in: Poster, 2024
Editore: Orbit, Technical University of Denmark

Knowledge Distillation Applied to Optical Channel Equalization: Solving the Parallelization Problem of Recurrent Connection

Autori: Sasipim Srivallapanondh, Pedro J. Freire, Bernhard Spinnler, Nelson Costa, Antonio Napoli, Sergei K. Turitsyn, Jaroslaw E. Prilepsky
Pubblicato in: Arxiv, Numero 8 December 2022, 2022
Editore: Cornwell University
DOI: 10.48550/arxiv.2212.04569

Thesis and dissertations (1)

Applications of the OCATA Optical Layer Digital Twin

Autori: Devigili, Mariano; Velasco, Luis; Napoli, Antonio
Pubblicato in: PhD Thesis: Applications of the OCATA Optical Layer Digital Twin, Mariano Devigili, UPC, Numero 1, 2024
Editore: Zenodo