Fibre optic nonlinear technologies

Informacje na temat projektu

FONTE

Identyfikator umowy o grant: 766115

DOI

10.3030/766115

Projekt został zamknięty

Data podpisania przez KE 30 Czerwca 2017

Data rozpoczęcia 1 Czerwca 2018

Data zakończenia 31 Maja 2022

Finansowanie w ramach

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Koszt całkowity

€ 1 081 619,64

Wkład UE

€ 1 081 619,64

Koordynowany przez

ASTON UNIVERSITY
United Kingdom

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Documents, reports (28)

Declarations of Conformity submitted to EC
Achievable rate and transmission distance of the NFT based communication system
Open-to-all Workshop 1 (OTAW I) (details on courses provided and ESR attendance record)
Numerical and experimental validation of the robust modulation formats
Multi-user communication and information theory
Open-to-all Workshop III (OTAW III) (details on courses provided and ESR attendance record)
3rd year FONTE workshop (details on courses provided and ESR attendance record)

3rd year FONTE workshop details on courses provided and ESR attendance record

Numerical verification advanced modulation techniques
TSW III (details on courses provided and ESR attendance record)

TSW III details on courses provided and ESR attendance record

Review and optimization results for the NIS NFT-based systems
System identification and parameter estimation
Final FONTE workshop (details on courses provided and ESR attendance record)

Final FONTE workshop details on courses provided and ESR attendance record

Report on the major impairments in NFT-based transmission
Open-to-all Workshop II (OTAW II) (details on courses provided and ESR attendance record)
Transmission regime definition and plan of experiments
NFT-WDM transmission systems

NFTWDM transmission systems

Quantification of performance degradation due to components imperfection
Interim report on publications and public engagement activities completed
New modulation techniques for NFT systems
Principles of linear and nonlinear frequency-division multiplexing
Survey of machine learning algorithms for optical performance monitoring
Software implementations of the developed robust NFT algorithms
Final report on publications and public engagement activities completed
2nd year FONTE workshop(details on courses provided and ESR attendance record)
Experimental transmissions of NFT-based systems, including (1) the NFDM systems and (2) the nonlinear inverse synthesis systems

Experimental transmissions of NFTbased systems including 1 the NFDM systems and 2 the nonlinear inverse synthesis systems

1st year FONTE workshop and TSW I (details on courses provided)
Performance analysis of monitoring techniques based on machine learning
Capacity limits of NFDM optical fibre networks

Websites, patent fillings, videos etc. (1)

FONTE website completed

Other (1)

4 Doctoral degrees awarded (except for TUD, where doctoral studies take four years)

4 Doctoral degrees awardedexcept for TUD where doctoral studies take four years

Publikacje

Conference proceedings (16)

Model-Based Deep Learning of Joint Probabilistic and Geometric Shaping for Optical Communication

Autorzy: Vladislav Neskorniuk, Andrea Carnio, Domenico Marsella, Sergei K. Turitsyn, Jaroslaw E. Prilepsky, Vahid Aref
Opublikowane w: 2022 Conference on Lasers and Electro-Optics (CLEO), OSA Technical Digest (Optica Publishing Group, 2022), paper (SW4E.5), 2022
Wydawca: Optica Publishing
DOI: 10.48550/arxiv.2204.07457

On the Comparison of Single-Carrier vs. Digital Multi-Carrier Signaling for Long-Haul Transmission of Probabilistically Shaped Constellation Formats

Autorzy: Kaoutar Benyahya; Amirhossein Ghazisaeidi; Vahid Aref; Mathieu Chagnon; Aymeric Arnould; Stenio Ranzini; Haik Mardoyan; Fred Buchali; Jeremie Renaudier
Opublikowane w: Optical Fiber Communication Conference 2021, 2021, ISBN 978-1-943580-86-6
Wydawca: IEEE
DOI: 10.1364/ofc.2021.m3h.6

Neural-Network-Based Nonlinearity Equalizer for 128 GBaud Coherent Transcievers

Autorzy: Vladislav Neskorniuk; Fred Buchali; Vinod Bajaj; Sergei K. Turitsyn; Jaroslaw E. Prilepsky; Vahid Aref
Opublikowane w: 2021 Optical Fiber Communications Conference and Exhibition (OFC), Numer 6-10 June 2021, 2021, ISBN 978-1-943580-86-6
Wydawca: IEEE

Efficient Deep Learning of Nonlinear Fiber-Optic Communications Using a Convolutional Recurrent Neural Network

Autorzy: Abtin Shahkarami, Mansoor Yousefi, Yves Jaouën
Opublikowane w: 20th IEEE International Conference on Machine Learning and Applications (ICMLA 2021), 2021
Wydawca: IEEE
DOI: 10.1109/icmla52953.2021.00112

Attention-Based Neural Network Equalization in Fiber-Optic Communications

Autorzy: Abtin Shahkarami, Mansoor Yousefi, Yves Jaouen
Opublikowane w: Proceedings of the Asia Communications and Photonics Conference 2021, 2021, ISBN 978-1-957171-00-5
Wydawca: Optica
DOI: 10.1364/acpc.2021.m5h.3

End-to-End Deep Learning of Long-Haul Coherent Optical Fiber Communications via Regular Perturbation Model

Autorzy: Vladislav Neskorniuk, Andrea Carnio, Vinod Bajaj, Domenico Marsella, Sergei K Turitsyn, Jaroslaw Prilepsky, Vahid Aref
Opublikowane w: 2021 European Conference on Optical Communication (ECOC), Numer 13-16 Sept. 2021, 2021, ISBN 978-1-6654-3868-1
Wydawca: IEEE
DOI: 10.1109/ecoc52684.2021.9605928

Efficient Training of Volterra Series-Based Pre-distortion Filter Using Neural Networks. In 2022 Optical Fiber Communications Conference and Exhibition (OFC) (pp. 1-3). IEEE.

Autorzy: Bajaj, V., Chagnon, M., Wahls, S. and Aref, V
Opublikowane w: 2022
Wydawca: 2022 Optical Fiber Communications Conference and Exhibition (OFC) (pp. 1-3). IEEE.

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

Autorzy: Vladislav Neskorniuk; Pedro J. Freire; Antonio Napoli; Bernhard Spinnler; Wolfgang Schairer; Jaroslaw E. Prilepsky; Nelson Costa; Sergei K. Turitsyn
Opublikowane w: 2020 European Conference on Optical Communications (ECOC), 2020, ISBN 978-1-7281-7361-0
Wydawca: IEEE
DOI: 10.1109/ecoc48923.2020.9333417

Experimental Demonstration of Optoelectronic Equalization for Short-reach Transmission with Reservoir Computing

Autorzy: Stenio M. Ranzini, Roman Dischler, Francesco da Ros, Henning Bulow, Darko Zibar
Opublikowane w: 2020 European Conference on Optical Communications (ECOC), 2020, Strona(/y) 1-4, ISBN 978-1-7281-7361-0
Wydawca: IEEE
DOI: 10.1109/ecoc48923.2020.9333372

Machine-learning-based equalization for short-reach transmission: neural networks and reservoir computing

Autorzy: Francesco Da Ros, Stenio Ranzini, Roman Dischler, Ali Cem, Vahid Aref, Henning Bülow, Darko Zibar
Opublikowane w: Metro and Data Center Optical Networks and Short-Reach Links IV, Numer 11712, 2021, Strona(/y) 2, ISBN 9781510642607
Wydawca: SPIE
DOI: 10.1117/12.2583011

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

Autorzy: Pedro J. Freire; Vladislav Neskornuik; Antonio Napoli; Bernhard Spinnler; Nelson Costa; Jaroslaw E. Prilepsky; Emilio Riccardi; Sergei K. Turitsyn
Opublikowane w: 2020 European Conference on Optical Communications (ECOC), 2020, ISBN 978-1-7281-7361-0
Wydawca: IEEE
DOI: 10.1109/ecoc48923.2020.9333293

54.5 Tb/s WDM Transmission over Field Deployed Fiber Enabled by Neural Network-Based Digital Pre-Distortion

Autorzy: Vinod Bajaj, Fred Buchalij, Mathieu Chagnon, Sander Wahls, Vahid Aref
Opublikowane w: 2021 Optical Fiber Communications Conference and Exhibition (OFC), Numer 6-10 June 2021, 2021, ISBN 978-1-943580-86-6
Wydawca: IEEE

Single-channel 1.61 Tb/s optical coherent transmission enabled by neural network-based digital pre-distortion

Autorzy: Bajaj, V.; Buchali, Fred; Chagnon, Mathieu; Wahls, S.; Aref, Vahid
Opublikowane w: 2020 European Conference on Optical Communications, 2020, ISBN 978-1-7281-7361-0
Wydawca: IEEE
DOI: 10.1109/ecoc48923.2020.9333267

Joint Low-Complexity Opto-Electronic Chromatic Dispersion Compensation for Short-Reach Transmission

Autorzy: Stenio M. Ranzini, Francesco Da Ros, Darko Zibar
Opublikowane w: 2019 IEEE Photonics Conference (IPC), 2019, Strona(/y) 1-2, ISBN 978-1-7281-0615-1
Wydawca: Mactier Publishing Corp
DOI: 10.1109/IPCon.2019.8908278

Exact nonlinear frequency division multiplexing in lossy fibers

Autorzy: V. Bajaj, S. Chimmalgi, V. Aref, S. Wahls
Opublikowane w: 45th European Conference on Optical Communication (ECOC 2019), 2019, Strona(/y) 206 (4 pp.)-206 (4 pp.), ISBN 978-1-83953-185-9
Wydawca: Institution of Engineering and Technology
DOI: 10.1049/cp.2019.0940

Optoelectronic signal processing for chromatic dispersion mitigation in direct detection systems

Autorzy: Stenio Magalhães Ranzini (Invited author), Francesco Da Ros (Invited author), Henning Bülow (Invited author), Darko Zibar (Invited author)
Opublikowane w: Proceedings of 22nd International Conference on Transparent Optical Networks (ICTON), 2020, ISBN 978-1-7281-8423-4
Wydawca: IEEE
DOI: 10.5281/zenodo.3982018

Other (16)

Exact NFDM in Lossy Fibers

Autorzy: Bajaj, Vinod; Chimmalgi, Shrinivas; Aref, Vahid; Wahls, Sander
Opublikowane w: (poster presented at the Nokia Bell Labs Student Day 2019), 2019
Wydawca: Nokia Bell Labs
DOI: 10.5281/zenodo.3743438

Machine learning methods for the nonlinearity mitigation in the physical layer of fiber-optic communication links

Autorzy: Vladislav Neskorniuk
Opublikowane w: (presentation given at ECOC 2021), 2021
Wydawca: Zenodo
DOI: 10.5281/zenodo.5528637

Efficient Deep Learning of Nonlinear Fiber-Optic Communications Using a Convolutional Recurrent Neural Network

Autorzy: Shahkarami, Abtin
Opublikowane w: (presesntation given at 20th IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA) (IEEE ICMLA2021), Pasadena, California, USA, 13-15 Dec 2021), 2021
Wydawca: Zenodo
DOI: 10.5281/zenodo.5871715

Efficient Training of Volterra Series-Based Pre-Distortion Filter Using Neural Networks

Autorzy: Bajaj, Vinod; Chagnon, Mathieu; Wahls, Sander; Aref, Vahid
Opublikowane w: (presentation given at OFC 2022, San Diego, California, USA by Vinod BAJAJ; 6-10 March 2022), 2022
Wydawca: Zenodo
DOI: 10.5281/zenodo.6335505

Exact NFDM Transmission in the Presence of Fiber-Loss (Presentation at NFT workshop)

Autorzy: Vinod Bajaj, Shrinivas Chimmalgi, Vahid Aref and Sander Wahls
Opublikowane w: (Presentation given at the 2022 Nonlinear Fourier Transform Workshop; 4-5 Feb 2020; Delft, Netherlands), 2020
Wydawca: TU Delft
DOI: 10.5281/zenodo.3743456

Complex-Valued Neural Network Design for Mitigation of Signal Distortions in Optical Links in Highly Nonlinear Regimes - CODE

Autorzy: Pedro J Freire; Vladislav Neskornuik
Opublikowane w: (Code accompanying DOI 10.1109/jlt.2020.3042414), 2020
Wydawca: Zenodo.org
DOI: 10.5281/zenodo.4065404

Efficient equalization in nonlinear fiber-optic communications using a convolutional recurrent neural network

Autorzy: Shahkarami, Abtin
Opublikowane w: (presentation given at DigiCosme/GdR-ISIS: Workshop on machine learning in optical communication systems, Paris, 25/03/2021), 2021
Wydawca: Zenodo
DOI: 10.5281/zenodo.5871037

Reservoir Computing for Short-reach Optical Communication

Autorzy: Da Ros, Francesco
Opublikowane w: (presentation given at Workshop on Neuromorphic High-Speed Communications (NeuCo S2021) Karlsruhe, Germany, 09 December 2021), Numer 22, 2021
Wydawca: Zenodo
DOI: 10.5281/zenodo.5793748

Neural Networks-based Nonlinear Digital Pre-Distortion of High-Speed Coherent Optical Transmitter

Autorzy: Bajaj, Vinod; Buchali, Fred; Chagnon, Mathieu; Wahls, Sander; Aref, Vahid
Opublikowane w: (Poster presented at TU Delft Thesis Market 2021), 2021
Wydawca: Zenodo
DOI: 10.5281/zenodo.6241892

Machine Learning algorithms for optimized data transmission links

Autorzy: Da Ros, Francesco
Opublikowane w: (Presentation given at the 1st Workshop on Neuromorphic Computing ; Aristotle University of Thessaloniki, 6-7 December 2021), 2021
Wydawca: Zenodo
DOI: 10.5281/zenodo.5785595

Optical Neural Network and Reservoir Computing for Optical Fiber Communications

Autorzy: Ranzini, Stenio Magalhães; Ros, Francesco Da; Bülow, Henning; Zibar, Darko
Opublikowane w: (poster given at the ERC international workshop 'Photonic Reservoir Computing and Information Processing in Complex Network' Trento, Italy; 4-6 Dec 2019), 2019
Wydawca: Technical University of Denmark - DTU
DOI: 10.5281/zenodo.3560602

Tunable Optoelectronic Chromatic Dispersion Compensation Based on Machine Learning for Short-Reach Transmission.

Autorzy: Ranzini, Stenio Magalhães; Ros, Francesco Da; Bülow, Henning; Zibar, Darko
Opublikowane w: (poster presented at Poster presented in the Workshop on Next-Generation Cloud Infrastructure; 25-26 Nov 2019; Microsoft Cambridge, UK), 2019
Wydawca: Technical University of Denmark - DTU
DOI: 10.5281/zenodo.3557203

Neural Network based Hybrid Optical Digital Equalization for Short-reach Transmission

Autorzy: Francesco Da Ros; Stenio M. Ranzini; Hennning Bülow; Darko Zibar
Opublikowane w: (presentation given at the ERC international workshop 'Photonic Reservoir Computing and Information Processing in Complex Network' Trento, Italy; 4-6 Dec 2019), 2019
Wydawca: Technical University of Denmark
DOI: 10.5281/zenodo.3742852

A novel data augmentation technique to reduce the complexity of receiver based DSP in optical telecommunications

Autorzy: Vladislav Neskorniuk
Opublikowane w: (presentation given at DigiCosme/GdR-ISIS: Workshop on machine learning in optical communication systems, Paris, 25/03/2021), 2021
Wydawca: Zenodo
DOI: 10.5281/zenodo.5528620

Attention-Based Neural Network Equalization in Fiber-Optic Communications

Autorzy: Shahkarami
Opublikowane w: (presentation given at Asia Communications and Photonics Conference 2021 (ACP2021), Shangha, China, 24–27 October 2021), 2021
Wydawca: Zenodo
DOI: 10.5281/zenodo.5870309

Machine Learning in Photonics

Autorzy: Da Ros, Francesco
Opublikowane w: (Presentation given at 9th International workshop on FIBER OPTICS in ACCESS NETWORK (FOAN2021), Ljubljana, Slovenia, 26-27 October 2021, 2021
Wydawca: Zenodo
DOI: 10.5281/zenodo.5793321

Thesis and dissertations (1)

Optoelectronic receiver in short reach optical fiber communications. (PhD Thesis).

Autorzy: Ranzini, S.M.
Opublikowane w: 2021
Wydawca: DTU

Peer reviewed articles (6)

Experimental Investigation of Optoelectronic Receiver With Reservoir Computing in Short Reach Optical Fiber Communications

Autorzy: Stenio M. Ranzini, Roman Dischler, Francesco Da Ros, Henning Bulow, Darko Zibar
Opublikowane w: Journal of Lightwave Technology, Numer 39/8, 2021, Strona(/y) 2460-2467, ISSN 0733-8724
Wydawca: Optical Society of America
DOI: 10.1109/jlt.2021.3049473

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

Autorzy: Pedro J. Freire, Vladislav Neskorniuk, Antonio Napoli, Bernhard Spinnler, Nelson Costa, Ginni Khanna, Emilio Riccardi, Jaroslaw E. Prilepsky, Sergei K. Turitsyn
Opublikowane w: Journal of Lightwave Technology, 2020, Strona(/y) 1-1, ISSN 0733-8724
Wydawca: Optical Society of America
DOI: 10.1109/jlt.2020.3042414

Tunable Optoelectronic Chromatic Dispersion Compensation Based on Machine Learning for Short-Reach Transmission

Autorzy: Stenio M. Ranzini, Francesco Da Ros, Henning Bülow, Darko Zibar
Opublikowane w: Applied Sciences, Numer 9/20, 2019, Strona(/y) 4332, ISSN 2076-3417
Wydawca: MDPI AG
DOI: 10.3390/app9204332

Reservoir-computing based equalization with optical pre-processing for short-reach optical transmission

Autorzy: Francesco Da Ros, Stenio M. Ranzini, Henning Buelow, Darko Zibar
Opublikowane w: IEEE Journal of Selected Topics in Quantum Electronics, 2020, Strona(/y) 1-1, ISSN 1077-260X
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/JSTQE.2020.2975607

Exact NFDM Transmission in the Presence of Fiber-Loss

Autorzy: Vinod Bajaj, Shrinivas Chimmalgi, Vahid Aref, Sander Wahls
Opublikowane w: Journal of Lightwave Technology, 2020, Strona(/y) 1-1, ISSN 0733-8724
Wydawca: Optical Society of America
DOI: 10.1109/JLT.2020.2984041

Deep Neural Network-Based Digital Pre-distortion for High Baudrate Optical Coherent Transmission

Autorzy: V. Bajaj, F. Buchali, M. Chagnon, S. Wahls and V. Aref
Opublikowane w: Journal of Lightwave Technology, 2021, ISSN 1558-2213
Wydawca: IEEE
DOI: 10.1109/jlt.2021.3122161