Coding for terabit-per-second fiber-optical communications

Pubblicazioni

Miscorrection-free Decoding of Staircase Codes

Autori: Christian Hager, Henry D. Pfister
Pubblicato in: 2017 European Conference on Optical Communication (ECOC), 2017, Pagina/e 1-3, ISBN 978-1-5386-5624-2
Editore: IEEE
DOI: 10.1109/ecoc.2017.8345919

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

Autori: Christoffer Fougstedt, Christian Hager, Lars Svensson, Henry D. Pfister, Per Larsson-Edefors
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.2018.8535430

What Can Machine Learning Teach Us about Communications?

Autori: Mengke Lian, Christian Hager, Henry D. Pfister
Pubblicato in: 2018 IEEE Information Theory Workshop (ITW), 2018, Pagina/e 1-5, ISBN 978-1-5386-3599-5
Editore: IEEE
DOI: 10.1109/itw.2018.8613331

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

Autori: Christian Hager, Henry D. Pfister
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.2018.8535251

Decoding Reed-Muller Codes Using Minimum- Weight Parity Checks

Autori: Elia Santi, Christian Hager, Henry D. Pfister
Pubblicato in: 2018 IEEE International Symposium on Information Theory (ISIT), 2018, Pagina/e 1296-1300, ISBN 978-1-5386-4781-3
Editore: IEEE
DOI: 10.1109/isit.2018.8437637

Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation

Autori: Mengke Lian, Fabrizio Carpi, Christian Hager, Henry D. Pfister
Pubblicato in: 2019 IEEE International Symposium on Information Theory (ISIT), 2019, Pagina/e 161-165, ISBN 978-1-5386-9291-2
Editore: IEEE
DOI: 10.1109/isit.2019.8849419

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

Autori: Christian Hager, Henry D. Pfister
Pubblicato in: 2018 IEEE International Symposium on Information Theory (ISIT), 2018, Pagina/e 1590-1594, ISBN 978-1-5386-4781-3
Editore: IEEE
DOI: 10.1109/isit.2018.8437734

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

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

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

Autori: Shen Li, Christian Hager, Nil Garcia, Henk Wymeersch
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.2018.8535456

Nonlinear Interference Mitigation via Deep Neural Networks

Autori: Christian Häger, Henry D. Pfister
Pubblicato in: Optical Fiber Communication Conference, 2018, Pagina/e W3A.4, ISBN 978-1-943580-38-5
Editore: OSA
DOI: 10.1364/ofc.2018.w3a.4

Revisiting Multi-Step Nonlinearity Compensation with Machine Learning

Autori: Häger, Christian; Pfister, Henry D.; Bütler, Rick M.; Liga, Gabriele; Alvarado, Alex
Pubblicato in: European Conference on Optical Communication (ECOC), 2019
Editore: OSA

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

Autori: Kadir Gümüş, Alex Alvarado, Bin Chen, Christian Häger, Erik Agrell
Pubblicato in: Optical Fiber Communication Conference (OFC) 2020, 2020, Pagina/e W3D.4, ISBN 978-1-943580-71-2
Editore: OSA
DOI: 10.1364/ofc.2020.w3d.4

Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding

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

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

Autori: Christian Häger, Henry D. Pfister, Rick M. Bütler, Gabriele Liga, Alex Alvarado
Pubblicato in: Optical Fiber Communication Conference (OFC) 2020, 2020, Pagina/e W3D.3, ISBN 978-1-943580-71-2
Editore: OSA
DOI: 10.1364/ofc.2020.w3d.3

Decoding Reed-Muller Codes Using Redundant Code Constraints

Autori: Mengke Lian; Christian Häger; Henry D. Pfister
Pubblicato in: IEEE International Symposium on Information Theory - Proceedings, 2020
Editore: IEEE

Pruning Neural Belief Propagation Decoders

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

Approaching Miscorrection-Free Performance of Product Codes With Anchor Decoding

Autori: Christian Hager, Henry D. Pfister
Pubblicato in: IEEE Transactions on Communications, Numero 66/7, 2018, Pagina/e 2797-2808, ISSN 0090-6778
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcomm.2018.2816073

Learning Physical-Layer Communication With Quantized Feedback

Autori: Jinxiang Song, Bile Peng, Christian Hager, Henk Wymeersch, Anant Sahai
Pubblicato in: IEEE Transactions on Communications, Numero 68/1, 2020, Pagina/e 645-653, ISSN 0090-6778
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcomm.2019.2951563

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

Autori: 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
Pubblicato in: Journal of Lightwave Technology, 2020, Pagina/e 1-1, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2020.2994220

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