REAL-time monitoring and mitigation of nonlinear effects in optical NETworks

Informazioni relative al progetto

REAL-NET

ID dell’accordo di sovvenzione: 813144

DOI

10.3030/813144

Progetto chiuso

Data della firma CE 25 Giugno 2018

Data di avvio 1 Gennaio 2019

Data di completamento 30 Giugno 2023

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 1 657 758,96

Contributo UE

€ 1 657 758,96

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 (23)

Interim report on publications and public engagement activities completed
Report on the analysis of QoT and methods to anticipate service degradation
Optimisation of advanced machine learning based DSP techniques and software release
Real-time optical performance monitoring for meshed optical networks using EON architecture
Open-to-all Workshop II (OTAW II) (details on courses provided and ESR attendance record)
2nd year REAL-NET workshop(details on courses provided and ESR attendance record)
Design and modeling of appropriate discrete-time statistical mode
Final report on publications and public engagement activities completed
Progress Report 1 submitted to EC
3 rd year REAL-NET workshop (details on courses provided and ESR attendance record)

3rd year REALNET workshop details on courses provided and ESRattendance record

New machine learning based DSP techniques for nonlinearity mitigation
Experimental validation of the simplified SSFM and Volterra series in realtime transmission systems and their comparison

Experimental validation of the simplified SSFM and Volterra series in realtime transmission systems and their comparison

Implementation of machine learning techniques for real-time optical performance monitoring

Implementation of machine learning techniques for realtime optical performance monitoring

TSW III (details on courses provided and ESR attendance record)

TSW III details on courses provided and ESR attendance record

Modeling fibre nonlinearity using perturbation methods and machine learning

Modeling fibre nonlinearity using perturbation methods and machine learning

Final REAL-NET workshop (details on courses provided and ESR attendance record)

Final REALNET workshop details on courses provided and ESR attendance record

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

Opentoall Workshop III OTAW III details on courses provided and ESRattendance record

Experimental validation of the INIC (and potentially similar schemes) in real-time transmission systems

Experimental validation of the INIC and potentially similar schemes inrealtime transmission systems

Experimental demonstration of advanced optical nonlinear real-time performance monitoring techniques for EON

Experimental demonstration of advanced optical nonlinear realtime performance monitoring techniques for EON

1st year REAL-NET workshop and TSW I
TSW II (details on courses provided and ESR attendance record)

TSW II details on courses provided and ESR attendance record

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 ESRattendance record

Report on the applications of the methods to improve optimization algorithms for the network

Report on the applications of the methods to improve optimizationalgorithms for the network

Websites, patent fillings, videos etc. (1)

REAL-NET website completed

Other (1)

6 Doctoral degrees awarded

Pubblicazioni

Conference proceedings (19)

Low Complexity Convolutional Neural Networks for Equalization in Optical Fiber Transmission

Autori: Mohannad Abu-romoh, Nelson Costa, Antonio Napoli, João Pedro, Yves Jaouën, and Mansoor Yousefi
Pubblicato in: OSA Advanced Photonics Congress 2021, 2021
Editore: Optica Publishing Group, 2021
DOI: 10.48550/arxiv.2210.05454

Filtering Impact on High-Order Modulation Formats in Hybrid Filterless and Filtered Optical Metro Networks

Autori: Diogo Sequeira, Marc Ruiz, Antonio Napoli, and Luis Velasco
Pubblicato in: OSA Advanced Photonics Congress 2021, 2021
Editore: Optica Publishing Group, 2021

Experimental Evaluation of Computational Complexity for Different Neural Network Equalizers in Optical Communications

Autori: Pedro J. Freire, Yevhenii Osadchuk, Antonio Napoli, Bernhard Spinnler, Wolfgang Schairer, Nelson Costa, Jaroslaw E. Prilepsky, Sergei K. Turitsyn
Pubblicato in: Asia Communications and Photonics Conference (ACP 2021), 2021
Editore: IEEE

Optimization of survivable filterless optical networks exploiting digital subcarrier multiplexing

Autori: Mohammad Mohammad Hosseini, João Pedro, Antonio Napoli, Nelson Costa, Jaroslaw E. Prilepsky, Sergei K. Turitsyn
Pubblicato in: Journal of Optical Communications and Networking, 2022
Editore: IEEE
DOI: 10.1364/jocn.451182

Power and Modulation Format Transfer Learning for Neural Network Equalizers in Coherent Optical Transmission Systems

Autori: Pedro J. Freire, Daniel Abode, Jaroslaw E. Prilepsky, Sergei K. Turitsyn
Pubblicato in: OSA Advanced Photonics Congress 2021, 2021
Editore: OSA Advanced Photonics Congress 2021
DOI: 10.48550/arxiv.2106.13144

Learned Digital Back-Propagation for Dual-Polarization Dispersion Managed Systems

Autori: Mohannad Abu-romoh, Nelson Costa, Antonio Napoli, Bernhard Spinnler, Yves Jaouën, Mansoor Yousefi
Pubblicato in: 2022
Editore: ECOC2022
DOI: 10.48550/arxiv.2205.11376

Simplifying the Supervised Learning of Kerr Nonlinearity Compensation Algorithms by Data Augmentation

Autori: Neskorniuk, Vladislav and Freire, Pedro J. and Napoli, Antonio and Spinnler, Bernhard and Schairer, Wolfgang and Prilepsky, Jaroslaw E. and Costa, Nelson and Turitsyn, Sergei K.
Pubblicato in: IEEE, 2021
Editore: IEEE
DOI: 10.1109/ecoc48923.2020.9333417

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: 2022
Editore: online
DOI: 10.48550/arxiv.2206.12191

Optimized Design of Metro-Aggregation Networks Exploiting Digital Subcarrier Routing

Autori: Mohammad Mohammad Hosseini; João Pedro; Nelson Costa; Antonio Napoli; Jaroslaw E. Prilepsky; Sergei K. Turitsyn
Pubblicato in: Asia Communications and Photonics Conference (ACP 2021), 2021, ISBN 978-1-957171-00-5
Editore: IEEE
DOI: 10.1364/acpc.2021.m5c.4

Experimental Study of Deep Neural Network Equalizers Performance in Optical Links

Autori: Pedro J. Freire, Yevhenii Osadchuk, Bernhard Spinnler, Wolfgang Schairer, Antonio Napoli, Nelson Costa, Jaroslaw E. Prilepsky, and Sergei K. Turitsyn
Pubblicato in: OFC 2021, 2021
Editore: Optical Fiber Communication Conference (OFC)
DOI: 10.48550/arxiv.2106.13133

Quantum bit retransmission using universal quantum copying machine

Autori: Masab Iqbal; Luis Velasco; Marc Ruiz; Antonio Napoli; Joao Pedro; Nelson Costa
Pubblicato in: 2022 International Conference on Optical Network Design and Modeling (ONDM), 2022, ISBN 978-3-903176-44-7
Editore: IEEE
DOI: 10.23919/ondm54585.2022.9782866

Long-Term Cost-Effectiveness of Metro Networks Exploiting Point-to-Multipoint Transceivers

Autori: Mohammad M. Hosseini, Joao Pedro, Antonio Napoli, Nelson Costa, Jaroslaw E. Prilepsky, Sergei K. Turitsyn
Pubblicato in: 2022 International Conference on Optical Network Design and Modeling (ONDM), 2022, ISBN 978-3-903176-44-7
Editore: IEEE
DOI: 10.23919/ondm54585.2022.9782846

Lightweight Optical Constellation Modeling by Concatenating Artificial Neural Networks.

Autori: Diogo Gonçalo Sequeira; Marc Ruiz; Nelson Costa; Antonio Napoli; Joao Pedro; Luis Velasco
Pubblicato in: ECOC 2021, 2021, ISBN 978-1-6654-3868-1
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ecoc52684.2021.9606054

Design of Survivable Metro-Aggregation Networks based on Digital Subcarrier Routing

Autori: Mohammad M. Hosseini; João Pedro; Antonio Napoli; Nelson Costa; Jaroslaw E. Prilepsky; Sergei K. Turitsyn
Pubblicato in: Global Communications Conference (GLOBECOM), 2021, ISBN 9781728181042
Editore: IEEE
DOI: 10.1109/globecom46510.2021.9685219

Dynamic and efficient point-to-point and point-to-multipoint communications by slicing the optical costellation

Autori: M. Iqbal, M. Ruiz, N. Costa, A. Napoli, J. Pedro and L. Velasco
Pubblicato in: 2022 Optical Fiber Communications Conference and Exhibition (OFC), 2022, ISBN 978-1-55752-466-9
Editore: IEEE

Experimental Verification of Complex-Valued Artificial Neural Network for Nonlinear Equalization in Coherent Optical Communication Systems

Autori: Pedro J. Freire; Vladislav Neskornuik; Antonio Napoli; Bernhard Spinnler; Nelson Costa; Jaroslaw E. Prilepsky; Emilio Riccardi; Sergei K. Turitsyn
Pubblicato in: ECOC 2020, 2020
Editore: IEEE
DOI: 10.1109/ecoc48923.2020.9333293

Neural Networks For Nonlinear Fourier Spectrum Computation

Autori: Egor V. Sedov, Pedro J. Freire, Igor S. Chekhovskoy, Sergei K. Turitsyn, Jaroslaw E. Prilepsky
Pubblicato in: ECOC 2021, 2021
Editore: IEEE
DOI: 10.1109/ecoc52684.2021.9605844

An Autoencoder-Based Solution for IQ Constellation Analysis.

Autori: Marc Ruiz; Javier Morales; Diogo Gonçalo Sequeira; Luis Velasco
Pubblicato in: ECOC 2021, Numero 3, 2021, ISBN 978-1-6654-3868-1
Editore: IEEE
DOI: 10.1109/ecoc52684.2021.9606175

Towards FPGA Implementation of Neural Network-Based Nonlinearity Mitigation Equalizers in Coherent Optical Transmission Systems

Autori: Pedro J. Freire, Michael Anderson, Bernhard Spinnler, Thomas Bex, Jaroslaw E. Prilepsky, Tobias A. Eriksson, Nelson Costa, Wolfgang Schairer, Michaela Blott, Antonio Napoli, Sergei K. Turitsyn
Pubblicato in: 2022
Editore: online
DOI: 10.48550/arxiv.2206.12180

Peer reviewed articles (16)

Deep learning-based real-time analysis of lightpath optical constellations [Invited]

Autori: M. Ruiz; D. Sequeira; L. Velasco
Pubblicato in: Journal of Optical Communications and Networking, Numero 8, 2022, ISSN 1943-0639
Editore: IEEE
DOI: 10.1364/jocn.451315

Transfer Learning for Neural Networks-based Equalizers in Coherent Optical Systems

Autori: Pedro J. Freire, Daniel Abode, Jaroslaw E. Prilepsky, Nelson Costa, Bernhard Spinnler, Antonio Napoli, Sergei K. Turitsyn
Pubblicato in: Journal of Lightwave Technology, 2021, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2021.3108006

Performance versus Complexity Study of Neural Network Equalizers in Coherent Optical Systems

Autori: Pedro J. Freire, Yevhenii Osadchuk, Bernhard Spinnler, Antonio Napoli, Wolfgang Schairer, Nelson Costa, Jaroslaw E. Prilepsky, Sergei K. Turitsyn
Pubblicato in: Journal of Lightwave Technology, 2021, Pagina/e 1-1, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2021.3096286

Accurate Low Complex Modulation Format and Symbol Rate Identification for Autonomous Lightpath Operation.

Autori: Diogo Sequeira; Marc Ruiz; Nelson Costa; Antonio Napoli; João Pedro; Luis Velasco
Pubblicato in: Sensors; Volume 22; Numero 23; Pages: 9251, Numero 1, 2022, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/s22239251

LPsec: a fast and secure cryptographic system for optical connections

Autori: M. Iqbal; L. Velasco; N. Costa; A. Napoli; J. Pedro; M. Ruiz
Pubblicato in: Crossref, Numero 5, 2022, Pagina/e 278 - 288, ISSN 1943-0620
Editore: Optical Society of America
DOI: 10.1364/jocn.444398

Deep Neural Network-aided Soft-Demapping in Optical Coherent Systems: Regression versus Classification

Autori: Freire, Pedro J.; Prilepsky, Jaroslaw E.; Osadchuk, Yevhenii; Turitsyn, Sergei K.; Aref, Vahid
Pubblicato in: IEEE TRANSACTIONS ON COMMUNICATIONS, Numero 1, 2022, ISSN 0090-6778
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcomm.2022.3213284

Attention-aided partial bidirectional RNN-based nonlinear equalizer in coherent optical systems.

Autori: Yifan Liu; Victor Sanchez; Pedro J. Freire; Jaroslaw E. Prilepsky; Mahyar J. Koshkouei; Matthew D. Higgins
Pubblicato in: Optics Express, Numero 1, 2022, ISSN 1094-4087
Editore: Optical Society of America
DOI: 10.1364/oe.464159

Neural networks for computing the continuous nonlinear Fourier spectrum in focusing nonlinear Schrodinger equation: NFT-Net

Autori: Egor V. Sedov, Pedro J. Freire, Vladimir V. Seredin, Vladyslav A. Kolbasin, Morteza Kamalian-Kopae, Igor S. Chekhovskoy, Sergei K. Turitsyn, Jaroslaw E. Prilepsky
Pubblicato in: Scientific Reports, 2021, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-021-02252-9

Experimental implementation of a neural network optical channel equalizer in restricted hardware using pruning and quantization

Autori: Diego Argüello Ron, Pedro J Freire, Jaroslaw E Prilepsky, Morteza Kamalian-Kopae, Antonio Napoli, Sergei K Turitsyn
Pubblicato in: Scientific Reports, 2022, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-022-12563-0

Novel evolutionary planning technique for flexible-grid transmission in optical networks

Autori: Matheus R.Sena, Pedro J.Freire, Leonardo D.Coelho, Alex F.Santos, Antonio Napoli, Raul C.AlmeidaJr
Pubblicato in: Optical Switching and Networking, 2022, ISSN 1573-4277
Editore: Elsevier BV
DOI: 10.1016/j.osn.2021.100648

OCATA: A deep-learning-based digital twin for the optical time domain

Autori: D. Sequeira; M. Ruiz; N. Costa; A. Napoli; J. Pedro; L. Velasco
Pubblicato in: Journal of Optical Communications and Networking, Numero 1, 2023, ISSN 1943-0639
Editore: Optica Publishing Group
DOI: 10.1364/jocn.477341

Complex-Valued Neural Network Design for Mitigation of Signal Distortions in Optical Links

Autori: Pedro J. Freire, Vladislav Neskorniuk, Antonio Napoli, Bernhard Spinnler, Nelson Costa, Ginni Khanna, Emilio Riccardi, Jaroslaw E. Prilepsky, Sergei K. Turitsyn
Pubblicato in: Journal of Lightwave Technology, 2020, Pagina/e 1-1, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2020.3042414

Bismuth doped fibre amplifier operating in E- and S- optical bands

Autori: Aleksandr Donodin, Vladislav Dvoyrin, Egor Manuylovich, Lukasz Krzczanowicz, Wladek Forysiak, Mikhail Melkumov, Valery Mashinsky, Sergei Turitsyn
Pubblicato in: Optical Materials Express, Numero 11/1, 2021, Pagina/e 127, ISSN 2159-3930
Editore: Optical Society of America
DOI: 10.1364/ome.411466

Neural Networks-based Equalizers for Coherent Optical Transmission: Caveats and Pitfalls

Autori: Freire, Pedro J.; Napoli, Antonio; Spinnler, Bernhard; Costa, Nelson; Turitsyn, Sergei K.; Prilepsky, Jaroslaw E.
Pubblicato in: Journal of Selected Topics in Quantum Electronics, Numero 2, 2022, ISSN 1558-4542
Editore: IEEE
DOI: 10.1109/jstqe.2022.3174268

Autonomous and Energy Efficient Lightpath Operation based on Digital Subcarrier Multiplexing

Autori: Luis Velasco, Sima Barzegar, Diogo Sequeira, Alessio Ferrari, Nelson Costa, Vittorio Curri, Joao Pedro, Antonio Napoli, Marc Ruiz
Pubblicato in: IEEE Journal on Selected Areas in Communications, 2021, Pagina/e 1-1, ISSN 0733-8716
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jsac.2021.3064698

Supporting Heterogenous Traffic on Top of Point-to-Multipoint Light-Trees

Autori: Masab Iqbal; Luis Velasco; Marc Ruiz; Nelson Costa; Antonio Napoli; Joao Pedro; Jaume Comellas
Pubblicato in: Pages: 2500, Numero 1, 2023, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/s23052500

Other (1)

Code for Regression equalizer, Multi-class Classifier and Multi-label Classifier

Autori: Pedro J. Freire, Jaroslaw E. Prilepsky, Yevhenii Osadchuk, Sergei K. Turitsyn and Vahid Aref
Pubblicato in: Zenodo (Code accompanying https://arxiv.org/abs/2109.13843), 2022
Editore: Zenodo
DOI: 10.5281/zenodo.6240318