Nonlinear-Distortion Free Communication over the Optical Fibre Channel

Risultati finali

In this deliverable, we will provide guidelines on how to use the data and also the numerical simulation tools.

Pubblicazioni

Simultaneous gain profile design and noise figure prediction for Raman amplifiers using machine learning

Autori: Uiara Celine de Moura, Ann Margareth Rosa Brusin, Andrea Carena, Darko Zibar, and Francesco Da Ros
Pubblicato in: Optics Letters, 2021, ISSN 0146-9592
Editore: Optical Society of America
DOI: 10.1364/ol.417243

Inverse System Design Using Machine Learning: The Raman Amplifier Case

Autori: Darko Zibar, Ann Margareth Rosa Brusin, Uiara C. de Moura, Francesco Da Ros, Vittorio Curri, Andrea Carena
Pubblicato in: Journal of Lightwave Technology, Numero 38/4, 2020, Pagina/e 736-753, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2019.2952179

Geometric Constellation Shaping for Fiber-Optic Channels via End-to-End Learning

Autori: Ognjen Jovanovic, Francesco Da Ros, Darko Zibar, Metodi P. Yankov
Pubblicato in: Journal of Lightwave Technology, 2023, ISSN 1558-2213
Editore: Optical Society of America
DOI: 10.1109/jlt.2023.3276300

Approaching optimum phase measurement in the presence of amplifier noise

Autori: Darko Zibar, Jens E. Pedersen, Poul Varming, Giovanni Brajato, and Francesco Da Ros
Pubblicato in: Optica, 2021, ISSN 2334-2536
Editore: Optica
DOI: 10.1364/optica.431668

Experimental validation of machine-learning based spectral-spatial power evolution shaping using Raman amplifiers

Autori: Mehran Soltani, Francesco Da Ros, Andrea Carena, and Darko Zibar
Pubblicato in: Optics Express, 2022, ISSN 1094-4087
Editore: Optical Society of America
DOI: 10.1364/oe.475873

Reservoir-Computing Based Equalization With Optical Pre-Processing for Short-Reach Optical Transmission

Autori: Francesco Da Ros, Stenio M. Ranzini, Henning Bulow, Darko Zibar
Pubblicato in: IEEE Journal of Selected Topics in Quantum Electronics, Numero 26/5, 2020, Pagina/e 1-12, ISSN 1077-260X
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jstqe.2020.2975607

Inverse design of a Raman amplifier in frequency and distance domains using convolutional neural networks

Autori: Mehran Soltani, Francesco Da Ros, Andrea Carena, and Darko Zibar
Pubblicato in: Optics Letts, 2021, ISSN 0146-9592
Editore: Optical Society of America
DOI: 10.1364/ol.422884

Experimental demonstration of nonlinear frequency division multiplexing transmission with neural network receiver

Autori: Simone Gaiarin, Francesco DaRos, Nicola De Renzis, Rasmus Thomas Jones, Darko Zibar
Pubblicato in: Journal of Lightwave Technology, 2020, Pagina/e 1-1, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2020.3016685

Experimental characterization of Raman amplifier optimization through inverse system design

Autori: Uiara Celine Demoura, Francesco Da Ros, Ann Margareth Rosa Brusin, Andrea Carena, Darko Zibar
Pubblicato in: Journal of Lightwave Technology, 2020, Pagina/e 1-1, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2020.3036603

Bayesian filtering framework for noise characterization of frequency combs

Autori: Giovanni Brajato, Lars Lundberg, Victor Torres-Company, Magnus Karlsson, Darko Zibar
Pubblicato in: Optics Express, Numero 28/9, 2020, Pagina/e 13949, ISSN 1094-4087
Editore: Optical Society of America
DOI: 10.1364/oe.391165

End-to-end Learning of a Constellation Shape Robust to Channel Condition Uncertainties

Autori: Ognjen Jovanovic, Metodi Plamenov Yankov, Francesco Da Ros, Darko Zibar
Pubblicato in: Journal of Lightwave Technology, 2022, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2022.3169993

Spectral and spatial power evolution design with machine learning-enabled Raman amplification

Autori: Mehran Soltani, Francesco Da Ros, Andrea Carena, Darko Zibar
Pubblicato in: Journal of Lightwave Technology, 2022, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2022.3154471

Dual-Polarization NFDM Transmission With Continuous and Discrete Spectral Modulation

Autori: Francesco Da Ros, Stella Civelli, Simone Gaiarin, Edson Porto da Silva, Nicola De Renzis, Marco Secondini, Darko Zibar
Pubblicato in: Journal of Lightwave Technology, Numero 37/10, 2019, Pagina/e 2335-2343, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/JLT.2019.2904102

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

Autori: Stenio M. Ranzini, Francesco Da Ros, Henning Bülow, Darko Zibar
Pubblicato in: Applied Sciences, Numero 9/20, 2019, Pagina/e 4332, ISSN 2076-3417
Editore: MDPI Applied Science
DOI: 10.3390/app9204332

Highly—sensitive phase and frequency noise measurement technique using Bayesian filtering

Autori: Darko Zibar, HounMan Chin, Yeyu Tong, Nitin Jain, Joel Guo, Lin Chang, Tobias Gehring, John E. Bowers, Ulrik L. Andersen
Pubblicato in: IEEE Photonics Technology Letters, 2019, Pagina/e 1-1, ISSN 1041-1135
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/lpt.2019.2945051

Impact of transmitter phase noise on NFDM transmission with discrete spectral modulation

Autori: Francesco Da Ros, Simone Gaiarin, Darko Zibar
Pubblicato in: IEEE Photonics Technology Letters, 2019, Pagina/e 1-1, ISSN 1041-1135
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/lpt.2019.2946451

Machine Learning Assisted Fiber Bragg Grating-Based Temperature Sensing

Autori: Martin S. E. Djurhuus, Stefan Werzinger, Bernhard Schmauss, Anders T. Clausen, Darko Zibar
Pubblicato in: IEEE Photonics Technology Letters, Numero 31/12, 2019, Pagina/e 939-942, ISSN 1041-1135
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/lpt.2019.2913992

Dual-Polarization NFDM Transmission Using Distributed Raman Amplification and NFT-Domain Equalization

Autori: Simone Gaiarin, Francesco Da Ros, Nicola De Renzis, Edson P. da Silva, Darko Zibar
Pubblicato in: IEEE Photonics Technology Letters, Numero 30/22, 2018, Pagina/e 1983-1986, ISSN 1041-1135
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/lpt.2018.2874204

Characterization and Optimization of Four-Wave-Mixing Wavelength Conversion System

Autori: Pawel Marcin Kaminski, Francesco Da Ros, Edson Porto da Silva, Minhao Pu, Metodi Plamenov Yankov, Elizaveta Semenova, Kresten Yvind, Anders Thomas Clausen, Soeren Forchhammer, Leif Katsuo Oxenloewe, Michael Galili
Pubblicato in: Journal of Lightwave Technology, 2019, Pagina/e 1-1, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2019.2933226

Low-complexity carrier phase recovery based on principal component analysis for square-QAM modulation formats

Autori: Júlio César Medeiros Diniz, Qirui Fan, Stenio Magalhães Ranzini, Faisal Nadeem Khan, Francesco Da Ros, Darko Zibar, Alan Pak Tao Lau
Pubblicato in: Optics Express, Numero 27/11, 2019, Pagina/e 15617, ISSN 1094-4087
Editore: Optical Society of America
DOI: 10.1364/oe.27.015617

Introducing Load Aware Neural Networks for Accurate Predictions of Raman Amplifiers

Autori: A. Margareth Rosa Brusin, Uiara C. de Moura, Vittorio Curri, Darko Zibar, Andrea Carena
Pubblicato in: Journal of Lightwave Technology, Numero 38/23, 2020, Pagina/e 6481-6491, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2020.3014810

Toward Intelligence in Photonic Systems

Autori: Darko Zibar, Francesco Da Ros, Giovanni Brajato, Uiara C. de Moura
Pubblicato in: Optics and Photonics News, Numero 31/3, 2020, Pagina/e 34, ISSN 1047-6938
Editore: Optical Society of America
DOI: 10.1364/opn.31.3.000034

Gradient-free training of autoencoders for non-differentiable communication channels

Autori: Ognjen Jovanovic, Metodi Plamenov Yankov, Francesco Da Ros, Darko Zibar
Pubblicato in: Journal of Lightwave Technology, 2021, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2021.3103339

End-to-end optimization of coherent optical communications over the split-step Fourier method guided by the nonlinear Fourier transform theory

Autori: Simone Gaiarin, Francesco Daros, Rasmus Thomas Jones, Darko Zibar
Pubblicato in: Journal of Lightwave Technology, 2020, Pagina/e 1-1, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2020.3033624

Multi-band programmable gain Raman amplifier

Autori: Uiara Celine De Moura, Md Asif Iqbal, Morteza Kamalian-Kopae, Lukasz Krzczanowicz, Francesco Da Ros, Ann Margareth Rosa Brusin, Andrea Carena, Wladek Forysiak, Sergei K. Turitsyn, Darko Zibar
Pubblicato in: Journal of Lightwave Technology, 2020, Pagina/e 1-1, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2020.3033768

End-to-end optimized nonlinear Fourier transform-based coherent communications

Autori: Simone Gaiarin, Rasmus T. Jones, Francesco Da Ros, Darko Zibar
Pubblicato in: Conference on Lasers and Electro-Optics, 2020, Pagina/e SF2L.4, ISBN 978-1-943580-76-7
Editore: OSA
DOI: 10.1364/cleo_si.2020.sf2l.4

Optimization of Fiber Optics Communication Systems via End-to-End Learning

Autori: Ognjen Jovanovic, Rasmus T. Jones, Simone Gaiarin, Metodi P. Yankov, Francesco Da Ros, Darko Zibar
Pubblicato in: 2020 22nd International Conference on Transparent Optical Networks (ICTON), 2020, Pagina/e 1-3, ISBN 978-1-7281-8423-4
Editore: IEEE
DOI: 10.1109/icton51198.2020.9203560

Advancing classical and quantum communication systems with machine learning

Autori: D. Zibar, U. C. Moura, H. M. Chin, A. M. Rosa Brusin, N. Jain, F. Da Ros, S. Kleis, C. Schaeffer, T. Gehring, U. L. Andersen, A. Carena
Pubblicato in: Optical Fiber Communication Conference (OFC) 2020, 2020, Pagina/e W1K.1, ISBN 978-1-943580-71-2
Editore: OSA
DOI: 10.1364/ofc.2020.w1k.1

Experimental demonstration of arbitrary Raman gain–profile designs using machine learning

Autori: Uiara C. de Moura, Francesco Da Ros, A. Margareth Rosa Brusin, Andrea Carena, Darko Zibar
Pubblicato in: Optical Fiber Communication Conference (OFC) 2020, 2020, Pagina/e T4B.2, ISBN 978-1-943580-71-2
Editore: OSA
DOI: 10.1364/ofc.2020.t4b.2

Machine learning-based Raman amplifier design

Autori: D. Zibar, A. Ferrari, V. Curri, A. Carena
Pubblicato in: Optical Fiber Communication Conference (OFC) 2019, Numero Proceedings of Optical Fibre Communication (OFC) Conference, 2019, Pagina/e M1J.1, ISBN 978-1-943580-53-8
Editore: OSA
DOI: 10.1364/ofc.2019.m1j.1

End-to-end Learning for GMI Optimized Geometric Constellation Shape

Autori: Jones, Rasmus T.; Yankov, Metodi P.; Zibar, Darko
Pubblicato in: European Conference on Optical Communication (ECOC), Numero 1, 2019
Editore: IEEE

Geometric Constellation Shaping for Fiber Optic Communication Systems via End-to-end Learning

Autori: Jones, Rasmus T.; Eriksson, Tobias A.; Yankov, Metodi P.; Puttnam, Benjamin J.; Rademacher, Georg; Luis, Ruben S.; Zibar, Darko
Pubblicato in: European Conference on Optical Communication (ECOC), Numero 1, 2018
Editore: IEEE

An ultra-fast method for gain and noise prediction of Raman amplifiers

Autori: Brusin, Ann Margareth Rosa; Curri, Vittorio; Zibar, Darko; Carena, Andrea
Pubblicato in: European Conference on Optical Communication (ECOC), Numero 1, 2019
Editore: IEEE

Impact of Laser Phase Noise on Nonlinear Frequency Division Multiplexing Systems

Autori: Francesco Da Ros, Simone Gaiarin, Darko Zibar
Pubblicato in: Conference on Lasers and Electro-Optics, Numero CLEO US, 2019, Pagina/e SW3O.6, ISBN 978-1-943580-57-6
Editore: OSA
DOI: 10.1364/cleo_si.2019.sw3o.6

Deep Learning of Geometric Constellation Shaping Including Fiber Nonlinearities

Autori: Rasmus T. Jones, Tobias A. Eriksson, Metodi P. Yankov, Darko Zibar
Pubblicato in: 2018 European Conference on Optical Communication (ECOC), 2018, Pagina/e 1-3, ISBN 978-1-5386-4862-9
Editore: IEEE
DOI: 10.1109/ecoc.2018.8535453

Joint Learning of Laser Relative Intensity and Frequency Noise from Single Experiment and Single Detected Quadrature

Autori: G. Brajato, D. Zibar
Pubblicato in: 2018 European Conference on Optical Communication (ECOC), 2018, Pagina/e 1-3, ISBN 978-1-5386-4862-9
Editore: IEEE
DOI: 10.1109/ecoc.2018.8535269

Phase Compensation for Continuous Variable Quantum Key Distribution

Autori: Hou-Man Chin, Darko Zibar, Nitin Jain, Tobias Gehring, Ulrik L. Andersen
Pubblicato in: Conference on Lasers and Electro-Optics, 2019, Pagina/e JF2F.1, ISBN 978-1-943580-57-6
Editore: OSA
DOI: 10.1364/cleo_at.2019.jf2f.1

Optical Frequency Comb Noise Characterization Using Machine Learning

Autori: Giovanni Brajato, Lars Lundberg, Victor Torres-Company, Darko Zibar
Pubblicato in: European Conference on Optical Communication, 2019
Editore: IEEE

Nonlinear Fourier Transform: Perpetual Research Topic or Future Game-Changer?

Autori: F. Da Ros, S. Gaiarin, R. T. Jones, O. Jovanovic, E. P. da Silva, D. Zibar
Pubblicato in: OSA Advanced Photonics Congress (AP) 2020 (IPR, NP, NOMA, Networks, PVLED, PSC, SPPCom, SOF), 2020, Pagina/e SpTu2I.1, ISBN 978-1-943580-79-8
Editore: OSA
DOI: 10.1364/sppcom.2020.sptu2i.1

End-to-end learning for fiber-optic communication systems

Autori: Ognjen Jovanovic, Francesco Da Ros, Metodi Plamenov Yankov, Darko Zibar
Pubblicato in: 2022, ISBN 9780323852272
Editore: Elsevier ScienceDirect
DOI: 10.1016/b978-0-32-385227-2.00012-7

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