Dynamic complex deep Neural Network Nonlinear Equalizer for 64 QAM Long-haul Transmission Systems

Govind Sharan Yadav; Takehiro Tsuritani; Shohei Beppu; Hidenori Takahashi; Itsuro Morita; Kai Ming Feng; Jhih Heng Yan

doi:10.23919/PS.2019.8818144

Dynamic complex deep Neural Network Nonlinear Equalizer for 64 QAM Long-haul Transmission Systems

Govind Sharan Yadav, Takehiro Tsuritani, Shohei Beppu, Hidenori Takahashi, Itsuro Morita, Kai Ming Feng, Jhih Heng Yan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

We implemented a two-hidden-layer dynamic complex deep neural network nonlinear equalizer which outperforms the linear equalizer, static and dynamic single hidden layer CDNN-NLE by 1.38-dB, 1.01-dB and 0.62-dB for a 34-GBaud/s, 64-QAM signal over 1200-km.

Original language	English
Title of host publication	OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9784885523212
DOIs	https://doi.org/10.23919/PS.2019.8818144
Publication status	Published - 2019 Jul
Externally published	Yes
Event	24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing, OECC/PSC 2019 - Fukuoka, Japan Duration: 2019 Jul 7 → 2019 Jul 11

Publication series

Name	OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019

Conference

Conference	24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing, OECC/PSC 2019
Country/Territory	Japan
City	Fukuoka
Period	19/7/7 → 19/7/11

Keywords

adaptive machine learning method
bit error rate
complex deep artificial neural network
deep learning

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Electrical and Electronic Engineering
Instrumentation
Atomic and Molecular Physics, and Optics

Access to Document

10.23919/PS.2019.8818144

Cite this

Yadav, G. S., Tsuritani, T., Beppu, S., Takahashi, H., Morita, I., Feng, K. M., & Yan, J. H. (2019). Dynamic complex deep Neural Network Nonlinear Equalizer for 64 QAM Long-haul Transmission Systems. In OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019 [8818144] (OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/PS.2019.8818144

Dynamic complex deep Neural Network Nonlinear Equalizer for 64 QAM Long-haul Transmission Systems. / Yadav, Govind Sharan; Tsuritani, Takehiro; Beppu, Shohei et al.

OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8818144 (OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yadav, GS, Tsuritani, T, Beppu, S, Takahashi, H, Morita, I, Feng, KM & Yan, JH 2019, Dynamic complex deep Neural Network Nonlinear Equalizer for 64 QAM Long-haul Transmission Systems. in OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019., 8818144, OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019, Institute of Electrical and Electronics Engineers Inc., 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing, OECC/PSC 2019, Fukuoka, Japan, 19/7/7. https://doi.org/10.23919/PS.2019.8818144

Yadav GS, Tsuritani T, Beppu S, Takahashi H, Morita I, Feng KM et al. Dynamic complex deep Neural Network Nonlinear Equalizer for 64 QAM Long-haul Transmission Systems. In OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8818144. (OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019). doi: 10.23919/PS.2019.8818144

Yadav, Govind Sharan ; Tsuritani, Takehiro ; Beppu, Shohei et al. / Dynamic complex deep Neural Network Nonlinear Equalizer for 64 QAM Long-haul Transmission Systems. OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019).

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abstract = "We implemented a two-hidden-layer dynamic complex deep neural network nonlinear equalizer which outperforms the linear equalizer, static and dynamic single hidden layer CDNN-NLE by 1.38-dB, 1.01-dB and 0.62-dB for a 34-GBaud/s, 64-QAM signal over 1200-km.",

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AU - Morita, Itsuro

AU - Feng, Kai Ming

AU - Yan, Jhih Heng

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AB - We implemented a two-hidden-layer dynamic complex deep neural network nonlinear equalizer which outperforms the linear equalizer, static and dynamic single hidden layer CDNN-NLE by 1.38-dB, 1.01-dB and 0.62-dB for a 34-GBaud/s, 64-QAM signal over 1200-km.

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Dynamic complex deep Neural Network Nonlinear Equalizer for 64 QAM Long-haul Transmission Systems

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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