Coding for terabit-per-second fiber-optical communications

Project Information

TERA

Grant agreement ID: 749798

DOI

10.3030/749798

Project closed

EC signature date 10 February 2017

Start date 1 April 2017

End date 31 March 2020

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 265 059,00

EU contribution

€ 265 059,00

Coordinated by

CHALMERS TEKNISKA HOGSKOLA AB
Sweden

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (16)

Miscorrection-free Decoding of Staircase Codes

Author(s): Christian Hager, Henry D. Pfister
Published in: 2017 European Conference on Optical Communication (ECOC), 2017, Page(s) 1-3, ISBN 978-1-5386-5624-2
Publisher: IEEE
DOI: 10.1109/ecoc.2017.8345919

ASIC Implementation of Time-Domain Digital Backpropagation with Deep-Learned Chromatic Dispersion Filters

Author(s): Christoffer Fougstedt, Christian Hager, Lars Svensson, Henry D. Pfister, Per Larsson-Edefors
Published in: 2018 European Conference on Optical Communication (ECOC), 2018, Page(s) 1-3, ISBN 978-1-5386-4862-9
Publisher: IEEE
DOI: 10.1109/ecoc.2018.8535430

What Can Machine Learning Teach Us about Communications?

Author(s): Mengke Lian, Christian Hager, Henry D. Pfister
Published in: 2018 IEEE Information Theory Workshop (ITW), 2018, Page(s) 1-5, ISBN 978-1-5386-3599-5
Publisher: IEEE
DOI: 10.1109/itw.2018.8613331

Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning

Author(s): Christian Hager, Henry D. Pfister
Published in: 2018 European Conference on Optical Communication (ECOC), 2018, Page(s) 1-3, ISBN 978-1-5386-4862-9
Publisher: IEEE
DOI: 10.1109/ecoc.2018.8535251

Decoding Reed-Muller Codes Using Minimum- Weight Parity Checks

Author(s): Elia Santi, Christian Hager, Henry D. Pfister
Published in: 2018 IEEE International Symposium on Information Theory (ISIT), 2018, Page(s) 1296-1300, ISBN 978-1-5386-4781-3
Publisher: IEEE
DOI: 10.1109/isit.2018.8437637

Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation

Author(s): Mengke Lian, Fabrizio Carpi, Christian Hager, Henry D. Pfister
Published in: 2019 IEEE International Symposium on Information Theory (ISIT), 2019, Page(s) 161-165, ISBN 978-1-5386-9291-2
Publisher: IEEE
DOI: 10.1109/isit.2019.8849419

Deep Learning of the Nonlinear Schrödinger Equation in Fiber-Optic Communications

Author(s): Christian Hager, Henry D. Pfister
Published in: 2018 IEEE International Symposium on Information Theory (ISIT), 2018, Page(s) 1590-1594, ISBN 978-1-5386-4781-3
Publisher: IEEE
DOI: 10.1109/isit.2018.8437734

On Low-Complexity Decoding of Product Codes for High-Throughput Fiber-Optic Systems

Author(s): Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva, Christian Hager, Henry D. Pfister
Published in: 2018 IEEE 10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC), 2018, Page(s) 1-5, ISBN 978-1-5386-7048-4
Publisher: IEEE
DOI: 10.1109/istc.2018.8625279

Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder Learning

Author(s): Shen Li, Christian Hager, Nil Garcia, Henk Wymeersch
Published in: 2018 European Conference on Optical Communication (ECOC), 2018, Page(s) 1-3, ISBN 978-1-5386-4862-9
Publisher: IEEE
DOI: 10.1109/ecoc.2018.8535456

Nonlinear Interference Mitigation via Deep Neural Networks

Author(s): Christian Häger, Henry D. Pfister
Published in: Optical Fiber Communication Conference, 2018, Page(s) W3A.4, ISBN 978-1-943580-38-5
Publisher: OSA
DOI: 10.1364/ofc.2018.w3a.4

Revisiting Multi-Step Nonlinearity Compensation with Machine Learning

Author(s): Häger, Christian; Pfister, Henry D.; Bütler, Rick M.; Liga, Gabriele; Alvarado, Alex
Published in: European Conference on Optical Communication (ECOC), 2019
Publisher: OSA

End-to-End Learning of Geometrical Shaping Maximizing Generalized Mutual Information

Author(s): Kadir Gümüş, Alex Alvarado, Bin Chen, Christian Häger, Erik Agrell
Published in: Optical Fiber Communication Conference (OFC) 2020, 2020, Page(s) W3D.4, ISBN 978-1-943580-71-2
Publisher: OSA
DOI: 10.1364/ofc.2020.w3d.4

Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding

Author(s): Fabrizio Carpi, Christian Hager, Marco Martalo, Riccardo Raheli, Henry D. Pfister
Published in: 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2019, Page(s) 922-929, ISBN 978-1-7281-3151-1
Publisher: IEEE
DOI: 10.1109/ALLERTON.2019.8919799

Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation

Author(s): Christian Häger, Henry D. Pfister, Rick M. Bütler, Gabriele Liga, Alex Alvarado
Published in: Optical Fiber Communication Conference (OFC) 2020, 2020, Page(s) W3D.3, ISBN 978-1-943580-71-2
Publisher: OSA
DOI: 10.1364/ofc.2020.w3d.3

Decoding Reed-Muller Codes Using Redundant Code Constraints

Author(s): Mengke Lian; Christian Häger; Henry D. Pfister
Published in: IEEE International Symposium on Information Theory - Proceedings, 2020
Publisher: IEEE

Pruning Neural Belief Propagation Decoders

Author(s): Andreas Buchberger; Christian Häger; Henry D. Pfister; Laurent Schmalen; Alexandre Graell i Amat
Published in: Proc. IEEE Int. Symp. on Information Theory (ISIT), 2020
Publisher: IEEE

Peer reviewed articles (3)

Approaching Miscorrection-Free Performance of Product Codes With Anchor Decoding

Author(s): Christian Hager, Henry D. Pfister
Published in: IEEE Transactions on Communications, Issue 66/7, 2018, Page(s) 2797-2808, ISSN 0090-6778
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcomm.2018.2816073

Learning Physical-Layer Communication With Quantized Feedback

Author(s): Jinxiang Song, Bile Peng, Christian Hager, Henk Wymeersch, Anant Sahai
Published in: IEEE Transactions on Communications, Issue 68/1, 2020, Page(s) 645-653, ISSN 0090-6778
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcomm.2019.2951563

Revisiting Efficient Multi-Step Nonlinearity Compensation with Machine Learning: An Experimental Demonstration

Author(s): Vinicius Oliari, Sebastiaan Goossens, Christian Hager, Gabriele Liga, Rick M. Butler, Menno van den Hout, Sjoerd van der Heide, Henry D. Pfister, Chigo M. Okonkwo, Alex Alvarado
Published in: Journal of Lightwave Technology, 2020, Page(s) 1-1, ISSN 0733-8724
Publisher: Optical Society of America
DOI: 10.1109/jlt.2020.2994220