Machine LEarning in Optical NeTwORks

Risultati finali

Interim report on publications and public engagement activities completed

Interim report on publications and public engagementactivities completed

Report on use cases definition
The pruning/sparsification strategy for the MB optical line elements

The pruningsparsification strategy for the MB optical line elements

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

Mid-Term Report for Mid-Term Review submitted to EC

MidTerm Report for MidTerm Review submitted to EC

Progress Report 1 submitted to EC
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

Routing and spectrum assignment strategies for ultra- wideband optical networks

Routing and spectrum assignment strategies for ultra wideband optical networks

MENTOR website completed

Pubblicazioni

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

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 , VOL. Y, NO. X, NOVEMBER 2023, 2023, Pagina/e 1-10, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.

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

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

Autori: Devigili, Mariano; Ruiz, M; Costa, N; Napoli, A; Pedro, J; Velasco, L; Barzegar, S
Pubblicato in: Optical Fiber Communications Conference and Exhibition (OFC), 5-9 March 2023, Numero March 2023, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.8354965

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: 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

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: Numero 1, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.10060944

Routing 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

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

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

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: Arxiv, Numero 9 December 2022, 2022, ISSN 2331-8422
Editore: Cornell University
DOI: 10.48550/arxiv.2212.04703

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: Numero 1, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.10063814

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

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

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