Combination of Multi-impairments Compensation and Decoding for LDPC-coded CO-OFDM via Deep Learning

Ying Han; Yuanxiang Chen; Jia Fu; Yongtao Huang; JiaHao Li; Yijun Deng; Kaile Li; Shangjing Lin; Jianguo Yu

doi:10.1364/OECC.2021.JS2B.13

26th Optoelectronics and Communications Conference
OSA Technical Digest (Optica Publishing Group, 2021),
paper JS2B.13
•https://doi.org/10.1364/OECC.2021.JS2B.13

Combination of Multi-impairments Compensation and Decoding for LDPC-coded CO-OFDM via Deep Learning

Ying Han, Yuanxiang Chen, Jia Fu, Yongtao Huang, JiaHao Li, Yijun Deng, Kaile Li, Shangjing Lin, and Jianguo Yu

Optoelectronics and Communications Conference 2021

Hong Kong China
3–7 July 2021
ISBN: 978-1-943580-92-7

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Poster Session II: Transmission Systems and Technologies (JS2B)

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Y. Han, Y. Chen, J. Fu, Y. Huang, J. Li, Y. Deng, K. Li, S. Lin, and J. Yu, "Combination of Multi-impairments Compensation and Decoding for LDPC-coded CO-OFDM via Deep Learning," in 26th Optoelectronics and Communications Conference, P. Alexander Wai, H. Tam, and C. Yu, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper JS2B.13.

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Abstract

We propose a combination scheme of multi-impairment compensation and LDPC decoding based deep learning for LDPC-coded CO-OFDM system. Experiments show it can greatly reduce the BER and decoding complexity in different transmission scenarios.

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