COIN: Coding for optical communications in the nonlinear regime
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1 March 2016
Developing nonlinear communications to meet the rapid increase in data traffic demand
Funder Horizon 2020
Amount £ 955 486
Project website www.coinproject.eu
Description
The rapid increase in data traffic in the past years and traffic forecasts will lead to capacity exhaust in the optical fibre communications infrastructure which carries over 95% of all data services. Nonlinear effects and dispersion during fibre transmission lead to distortions, limiting both achievable capacities, spectral efficiencies and distances. COIN investigates nonlinear coding and detection, tailored to the nonlinear channel to dramatically improve the data throughput of future optical networks.
Outputs
- Publications
Information-theoretic tools for optical communications engineers
Erik Agrell and Marco Secondini
IEEE Photonics Conference (IPC), Reston, VA, Sept. - Oct. 2018 (invited)End-to-end deep learning of optical fiber communications
Boris Karanov, Mathieu Chagnon, Felix Thouin, Tobias Eriksson, Henning Bülow, Domanic Lavery, Polina Bayvel, and Laurent Schmalen
Journal of Lightwave Technology 2018
DOI:10.1109/JLT.2018.2865109Probabilistic eigenvalue shaping for nonlinear Fourier transform transmission
Andreas Buchberger, Alexandre Graell i Amat, Vahid Aref, and Laurent Schmalen
Journal of Lightwave Technology 2018
DOI:10.1109/JLT.2018.2854760400 Gbps dual-polarisation non-linear frequency-division multiplexed transmission with b-modulation
Xianhe Yangzhang, Vahid Aref, Son T. Le, Henning Bülow, and Polina Bayvel
European Conference on Optical Communication (ECOC) 2018, accepted for presentation
DOI:Spectral broadening of Gaussian process in optical fibre and implication on the spectral efficiency
Xianhe Yangzhang, Vahid Aref, Domanic Lavery, and Polina Bayvel
European Conference on Optical Communication (ECOC) 2018, accepted for presentation
DOI:Experimental demonstration of a dispersion tolerant end-to-end deep learning-based IM-DD transmission system
Mathieu Chagnon, Boris Karanov, and Laurent Schmalen
European Conference on Optical Communication (ECOC) 2018, accepted for presentation
DOI:A low-complexity near-optimal detector for multispan zero-dispersion fiber-optic channels
Morteza Tavana, Kamran Keykhosravi, Vahid Aref, Erik Agrell
European Conference on Optical Communication (ECOC) 2018, accepted for presentation
DOI:Demodulation and detection schemes for a memoryless optical WDM channel
Kamran Keykhosravi, Morteza Tavana, Erik Agrell, and Guiseppe Durisi
IEEE Transactions on Communications
DOI: 10.1109/TCOMM.2018.2811811Impact of perturbations on nonlinear frequency-division multiplexing
Xianhe Yangzhang, Domaniç Lavery, Polina Bayvel, and Mansoor I. Yousefi
Journal of Lightwave Technology 2018, Invited
DOI:10.1109/JLT.2018.2798412Digital nonlinearity compensation considering signal spectral broadening effects in dispersion-managed systems
Boris Karanov, Tianhua Xu, Nikita A. Shevchenko, Domaniç Lavery, Gabriele Liga, Robert I. Killey, and Polina Bayvel
Optical Fiber Communication Conference (OFC) 2018
DOI: 10.1364/OFC.2018.W2A.58Span length and information rate optimisation in optical transmission systems using single-channel digital backpropagation
Boris Karanov, Tianhua Xu, Nikita A. Shevchenko, Domaniç Lavery, Robert I. Killey, and Polina Bayvel
Optics Express 2017
DOI:10.1364/OE.25.025353Digital nonlinearity compensation in high-capacity optical communication systems considering signal spectral broadening effect
Tianhua Xu, Boris Karanov, Nikita A. Shevchenko, Domaniç Lavery, Gabriele Liga, Robert I. Killey, and Polina Bayvel
Nature Scientific Reports 2017
DOI:10.1038/s41598-017-12614-xDigital nonlinearity compensation in high-capacity optical fibre communication systems: performance and optimisation
Tianhua Xu, Nikita A. Shevchenko, Boris Karanov, Gabriele Liga, Domaniç Lavery, Robert I. Killey, and Polina Bayvel
Advances in Wireless and Optical Communications
Most up-to-date publication information can be found at http://coinproject.eu/publications