An Innovative Temporal Convolutional Network(TCN) Combined with Self-Attention Mechanism for Fiber Nonlinear Compensation-Reference-Cited by-同舟云学术

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An Innovative Temporal Convolutional Network(TCN) Combined with Self-Attention Mechanism for Fiber Nonlinear Compensation

Published:2023-11-04 Issue: Volume:30 Page:1-4
ISSN:
Container-title:2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM)
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Author:

Yin Jingyan¹,Fang Zili¹,Feng Xiaoqian¹,Cai Jiyuan¹,Xi Lixia²,Zhang Wenbo¹

Affiliation:

1. Beijing University of Posts and Telecommunications (Beijing University of Posts and Telecommunications), Ministry of Education,State Key Laboratory of Information, Photonics and Optical Communications, Key Laboratory of Mathematics and Information Networks,Beijing,China

2. Beijing University of Posts and Telecommunications,State Key Laboratory of Information, Photonics and Optical Communications,Beijing,China

Funder

National Natural Science Foundation of China

State Key Laboratory of Advanced Optical Communication Systems and Networks

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10368381/10368607/10369652.pdf?arnumber=10369652

Reference13 articles.

1. Phase-conjugated twin waves for communication beyond the Kerr nonlinearity limit

2. Field and lab experimental demonstration of nonlinear impairment compensation using neural networks

3. Information rates in Kerr nonlinearity limited optical fiber communication systems

4. Compensation of Dispersion and Nonlinear Impairments Using Digital Backpropagation

5. Digital Postcompensation Using Volterra Series Transfer Function

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