Experimental Demonstration of the Widely Linear Sparse Volterra Equalizer Used in Probabilistic Shaping 1024-QAM Transmission with Spectral Efficiency of 16.57-bit/s/Hz

Nan Wang; Feng Tian; Tianze Wu; Xiangjun Xin; Bo Liu; Qi Zhang; Wei Gao

doi:10.1109/OECC56963.2023.10209778

Experimental Demonstration of the Widely Linear Sparse Volterra Equalizer Used in Probabilistic Shaping 1024-QAM Transmission with Spectral Efficiency of 16.57-bit/s/Hz

Nan Wang^*, Feng Tian, Tianze Wu, Xiangjun Xin, Bo Liu, Qi Zhang, Wei Gao

^*Corresponding author for this work

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

Abstract

The widely linear sparse Volterra equalizer is proposed in this paper, and the performance is demonstrated in the polarization multiplexed probabilistic shaping 1024-QAM with the spectral efficiency of16.57-bit/s/Hz.

Original language	English
Title of host publication	2023 Opto-Electronics and Communications Conference, OECC 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665462136
DOIs	https://doi.org/10.1109/OECC56963.2023.10209778
Publication status	Published - 2023
Externally published	Yes
Event	2023 Opto-Electronics and Communications Conference, OECC 2023 - Shanghai, China Duration: 2 Jul 2023 → 6 Jul 2023

Publication series

Name	2023 Opto-Electronics and Communications Conference, OECC 2023

Conference

Conference	2023 Opto-Electronics and Communications Conference, OECC 2023
Country/Territory	China
City	Shanghai
Period	2/07/23 → 6/07/23

Keywords

Complex-valued widely linear equalizer
high spectral efficiency
multi-input multi-output Volterra equalizer
ultra-high-order modulation

Access to Document

10.1109/OECC56963.2023.10209778

Cite this

Wang, N., Tian, F., Wu, T., Xin, X., Liu, B., Zhang, Q., & Gao, W. (2023). Experimental Demonstration of the Widely Linear Sparse Volterra Equalizer Used in Probabilistic Shaping 1024-QAM Transmission with Spectral Efficiency of 16.57-bit/s/Hz. In 2023 Opto-Electronics and Communications Conference, OECC 2023 (2023 Opto-Electronics and Communications Conference, OECC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/OECC56963.2023.10209778

Wang, Nan ; Tian, Feng ; Wu, Tianze et al. / Experimental Demonstration of the Widely Linear Sparse Volterra Equalizer Used in Probabilistic Shaping 1024-QAM Transmission with Spectral Efficiency of 16.57-bit/s/Hz. 2023 Opto-Electronics and Communications Conference, OECC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 Opto-Electronics and Communications Conference, OECC 2023).

@inproceedings{6450748413644afa81cb2c80351e5f93,

title = "Experimental Demonstration of the Widely Linear Sparse Volterra Equalizer Used in Probabilistic Shaping 1024-QAM Transmission with Spectral Efficiency of 16.57-bit/s/Hz",

abstract = "The widely linear sparse Volterra equalizer is proposed in this paper, and the performance is demonstrated in the polarization multiplexed probabilistic shaping 1024-QAM with the spectral efficiency of16.57-bit/s/Hz.",

keywords = "Complex-valued widely linear equalizer, high spectral efficiency, multi-input multi-output Volterra equalizer, ultra-high-order modulation",

author = "Nan Wang and Feng Tian and Tianze Wu and Xiangjun Xin and Bo Liu and Qi Zhang and Wei Gao",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 Opto-Electronics and Communications Conference, OECC 2023 ; Conference date: 02-07-2023 Through 06-07-2023",

year = "2023",

doi = "10.1109/OECC56963.2023.10209778",

language = "English",

series = "2023 Opto-Electronics and Communications Conference, OECC 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 Opto-Electronics and Communications Conference, OECC 2023",

address = "United States",

}

Wang, N, Tian, F, Wu, T, Xin, X, Liu, B, Zhang, Q & Gao, W 2023, Experimental Demonstration of the Widely Linear Sparse Volterra Equalizer Used in Probabilistic Shaping 1024-QAM Transmission with Spectral Efficiency of 16.57-bit/s/Hz. in 2023 Opto-Electronics and Communications Conference, OECC 2023. 2023 Opto-Electronics and Communications Conference, OECC 2023, Institute of Electrical and Electronics Engineers Inc., 2023 Opto-Electronics and Communications Conference, OECC 2023, Shanghai, China, 2/07/23. https://doi.org/10.1109/OECC56963.2023.10209778

Experimental Demonstration of the Widely Linear Sparse Volterra Equalizer Used in Probabilistic Shaping 1024-QAM Transmission with Spectral Efficiency of 16.57-bit/s/Hz. / Wang, Nan; Tian, Feng; Wu, Tianze et al.
2023 Opto-Electronics and Communications Conference, OECC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 Opto-Electronics and Communications Conference, OECC 2023).

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

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T1 - Experimental Demonstration of the Widely Linear Sparse Volterra Equalizer Used in Probabilistic Shaping 1024-QAM Transmission with Spectral Efficiency of 16.57-bit/s/Hz

AU - Wang, Nan

AU - Tian, Feng

AU - Wu, Tianze

AU - Xin, Xiangjun

AU - Liu, Bo

AU - Zhang, Qi

AU - Gao, Wei

PY - 2023

Y1 - 2023

N2 - The widely linear sparse Volterra equalizer is proposed in this paper, and the performance is demonstrated in the polarization multiplexed probabilistic shaping 1024-QAM with the spectral efficiency of16.57-bit/s/Hz.

AB - The widely linear sparse Volterra equalizer is proposed in this paper, and the performance is demonstrated in the polarization multiplexed probabilistic shaping 1024-QAM with the spectral efficiency of16.57-bit/s/Hz.

KW - Complex-valued widely linear equalizer

KW - high spectral efficiency

KW - multi-input multi-output Volterra equalizer

KW - ultra-high-order modulation

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U2 - 10.1109/OECC56963.2023.10209778

DO - 10.1109/OECC56963.2023.10209778

M3 - Conference contribution

AN - SCOPUS:85170209913

T3 - 2023 Opto-Electronics and Communications Conference, OECC 2023

BT - 2023 Opto-Electronics and Communications Conference, OECC 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 Opto-Electronics and Communications Conference, OECC 2023

Y2 - 2 July 2023 through 6 July 2023

ER -

Wang N, Tian F, Wu T, Xin X, Liu B, Zhang Q et al. Experimental Demonstration of the Widely Linear Sparse Volterra Equalizer Used in Probabilistic Shaping 1024-QAM Transmission with Spectral Efficiency of 16.57-bit/s/Hz. In 2023 Opto-Electronics and Communications Conference, OECC 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 Opto-Electronics and Communications Conference, OECC 2023). doi: 10.1109/OECC56963.2023.10209778

Experimental Demonstration of the Widely Linear Sparse Volterra Equalizer Used in Probabilistic Shaping 1024-QAM Transmission with Spectral Efficiency of 16.57-bit/s/Hz

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