Concept and Experimental Demonstration of Optical IM/DD End-to-End
System Optimization using a Generative Model

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Concept and Experimental Demonstration of Optical IM/DD End-to-End System Optimization using a Generative Model

11 December 2019

Laurent Schmalen

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Papers citing "Concept and Experimental Demonstration of Optical IM/DD End-to-End System Optimization using a Generative Model"

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Title
Data-Driven Symbol Detection for Intersymbol Interference Channels with Bursty Impulsive Noise B. Karanov Chin-Hung Chen Yan Wu Alex Young Wim J. van Houtum 122 2 0 17 May 2024
On the Robustness of Deep Learning-aided Symbol Detectors to Varying Conditions and Imperfect Channel Knowledge Chin-Hung Chen B. Karanov Wim J. van Houtum Wu Yan Alex Young Alex Alvarado 132 2 0 23 Jan 2024
Blind and Channel-agnostic Equalization Using Adversarial Networks V. Lauinger Michael J. Hoffmann Jonas Ney Norbert Wehn Laurent Schmalen 62 3 0 15 Sep 2022
End-to-End Deep Learning of Long-Haul Coherent Optical Fiber Communications via Regular Perturbation Model V. Neskorniuk A. Carnio V. Bajaj D. Marsella S. Turitsyn Jaroslaw E. Prilepsky Vahid Aref 51 21 0 26 Jul 2021
Experimental Investigation of Deep Learning for Digital Signal Processing in Short Reach Optical Fiber Communications B. Karanov M. Chagnon Vahid Aref F. Ferreira D. Lavery P. Bayvel Laurent Schmalen 71 27 0 18 May 2020
Optical Fiber Communication Systems Based on End-to-End Deep Learning B. Karanov M. Chagnon Vahid Aref D. Lavery P. Bayvel Laurent Schmalen 15 4 0 18 May 2020
Fast and Accurate Optical Fiber Channel Modeling Using Generative Adversarial Network Hang Yang Zekun Niu S. Xiao Jiafei Fang Zhiyang Liu David Fainsin L. Yi GAN 42 50 0 28 Feb 2020