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Nonlinear-Distortion Free Communication over the Optical Fibre Channel

Total Cost €


EC-Contrib. €






Project "FRECOM" data sheet

The following table provides information about the project.


Organization address
postcode: 2800

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Denmark [DK]
 Total cost 2˙000˙000 €
 EC max contribution 2˙000˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-COG
 Funding Scheme ERC-COG
 Starting year 2018
 Duration (year-month-day) from 2018-03-01   to  2023-02-28


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Motivation The enormous growth in the Internet of Things and server farms for cloud services has increased the strain on the optical communication infrastructure. By 2025, our society will require data rates that are physically impossible to implement using current state-of-the-art optical communication technologies. This is because fibre-optic communication systems are rapidly approaching their fundamental capacity limits imposed by the Kerr nonlinearity of the fibre. Nonlinear distortion limits the ability to transport and detect the information stream. This is a very critical problem for increasing the data rates of any optical fibre communication system.

Proposed research The only physical quantities not affected by the nonlinearity are eigenvalues, associated with the optical fibre propagation equation. Eigenvalues are thereby ideal candidates for information transport. The concept of eigenvalues is derived under the assumption that the fibre is lossless and that there is no noise in the system which is not strictly correct. Therefore, novel methodologies and concepts for the design of a noise mitigating receiver and a noise robust transmitter are needed to reap the full benefits of optical communication systems employing eigenvalues. This proposal will develop such strategies. This will be achieved by combining, for the first time, the fields of nonlinear optics, optical communication and nonlinear digital signal processing. The results from the project will be verified experimentally, and will form the basis for a new generation of commercial optical communication systems.

Preliminary results Our proof-of-concept results demonstrate, for the first time, that noise can be handled by employing novel receiver concepts. An order of magnitude improvement compared to the state-of-the-art is demonstrated.

Environment The research will be carried out in close cooperation with leading groups at Stanford University and Technical University of Munich.


List of deliverables.
Data Management Plan Open Research Data Pilot 2019-07-23 15:20:15

Take a look to the deliverables list in detail:  detailed list of FRECOM deliverables.


year authors and title journal last update
List of publications.
2019 Darko Zibar, HounMan Chin, Yeyu Tong, Nitin Jain, Joel Guo, Lin Chang, Tobias Gehring, John E. Bowers, Ulrik L. Andersen
Highly—sensitive phase and frequency noise measurement technique using Bayesian filtering
published pages: 1-1, ISSN: 1041-1135, DOI: 10.1109/lpt.2019.2945051
IEEE Photonics Technology Letters 2019-10-29
2019 Martin S. E. Djurhuus, Stefan Werzinger, Bernhard Schmauss, Anders T. Clausen, Darko Zibar
Machine Learning Assisted Fiber Bragg Grating-Based Temperature Sensing
published pages: 939-942, ISSN: 1041-1135, DOI: 10.1109/lpt.2019.2913992
IEEE Photonics Technology Letters 31/12 2019-10-28
2019 Jones, Rasmus T.; Yankov, Metodi P.; Zibar, Darko
End-to-end Learning for GMI Optimized Geometric Constellation Shape
published pages: , ISSN: , DOI:
European Conference on Optical Communication (ECOC) 1 2019-10-28
2019 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
Characterization and Optimization of Four-Wave-Mixing Wavelength Conversion System
published pages: 1-1, ISSN: 0733-8724, DOI: 10.1109/jlt.2019.2933226
Journal of Lightwave Technology 2019-10-28
2018 Jones, Rasmus T.; Eriksson, Tobias A.; Yankov, Metodi P.; Puttnam, Benjamin J.; Rademacher, Georg; Luis, Ruben S.; Zibar, Darko
Geometric Constellation Shaping for Fiber Optic Communication Systems via End-to-end Learning
published pages: , ISSN: , DOI:
European Conference on Optical Communication (ECOC) 1 2019-10-28
2019 Francesco Da Ros, Stella Civelli, Simone Gaiarin, Edson Porto da Silva, Nicola De Renzis, Marco Secondini, Darko Zibar
Dual-Polarization NFDM Transmission With Continuous and Discrete Spectral Modulation
published pages: 2335-2343, ISSN: 0733-8724, DOI: 10.1109/JLT.2019.2904102
Journal of Lightwave Technology 37/10 2019-10-28
2019 Júlio César Medeiros Diniz, Qirui Fan, Stenio Magalhães Ranzini, Faisal Nadeem Khan, Francesco Da Ros, Darko Zibar, Alan Pak Tao Lau
Low-complexity carrier phase recovery based on principal component analysis for square-QAM modulation formats
published pages: 15617, ISSN: 1094-4087, DOI: 10.1364/oe.27.015617
Optics Express 27/11 2019-10-28
2019 Giovanni Brajato, Lars Lundberg, Victor Torres-Company, Darko Zibar
Optical Frequency Comb Noise Characterization Using Machine Learning
published pages: , ISSN: , DOI:
European Conference on Optical Communication 2019-10-28
2018 Simone Gaiarin, Francesco Da Ros, Nicola De Renzis, Edson P. da Silva, Darko Zibar
Dual-Polarization NFDM Transmission Using Distributed Raman Amplification and NFT-Domain Equalization
published pages: 1983-1986, ISSN: 1041-1135, DOI: 10.1109/lpt.2018.2874204
IEEE Photonics Technology Letters 30/22 2019-10-28
2019 Brusin, Ann Margareth Rosa; Curri, Vittorio; Zibar, Darko; Carena, Andrea
An ultra-fast method for gain and noise prediction of Raman amplifiers
published pages: , ISSN: , DOI:
European Conference on Optical Communication (ECOC) 1 2019-10-28
2019 Stenio M. Ranzini, Francesco Da Ros, Henning Bülow, Darko Zibar
Tunable Optoelectronic Chromatic Dispersion Compensation Based on Machine Learning for Short-Reach Transmission
published pages: 4332, ISSN: 2076-3417, DOI: 10.3390/app9204332
Applied Sciences 9/20 2019-10-28
2019 Francesco Da Ros, Simone Gaiarin, Darko Zibar
Impact of transmitter phase noise on NFDM transmission with discrete spectral modulation
published pages: 1-1, ISSN: 1041-1135, DOI: 10.1109/lpt.2019.2946451
IEEE Photonics Technology Letters 2019-10-28

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