Experimental Demonstration of Neural Network-based Soft Demapper for Long-haul Optical Transmission-Reference-Cited by-同舟云学术

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Experimental Demonstration of Neural Network-based Soft Demapper for Long-haul Optical Transmission

Published:2023-07-02 Issue: Volume: Page:
ISSN:
Container-title:2023 Opto-Electronics and Communications Conference (OECC)
language:
Short-container-title:

Author:

Fang Wenkai¹,Chen Bin¹,Lei Yi¹,Zhao Can¹,Van Den Hout Menno²,Van Der Heide Sjoerd²,Okonkwo Chigo²,Sun Lin³,Xue Xuwei⁴,Huang Shanguo⁴

Affiliation:

1. Hefei University of Technology,School of Computer Science and Information Engineering,Hefei,China

2. Eindhoven University of Technology,Department of Electrical Engineering,Eindhoven,The Netherlands

3. Soochow University,School of Electronic and Information Engineering,Suzhou,China

4. Beijing University of Posts and Telecommunications,IPOC,Beijing,China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Beijing University of Posts and Telecommunications

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10209604/10209571/10209891.pdf?arnumber=10209891

Reference12 articles.

1. Fiber nonlinearity equalization with multi-label deep learning scalable to high-order DP-QAM;koike-akino;Advanced Photonics,2018

2. Recurrent Neural Network Soft-Demapping for Nonlinear ISI in 800Gbit/s DWDM Coherent Optical Transmissions

3. 11,700 km Transmission at 4.8 bit/4D-sym via Four-dimensional Geometrically-shaped Polarization-Ring-Switching Modulation

4. Soft-Demapping for Short Reach Optical Communication: A Comparison of Deep Neural Networks and Volterra Series

5. "Machine LLRning": Learning to Softly Demodulate

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