Structured sparsity learning-based pruned retraining volterra equalization for data-center interconnects

Govind Sharan Yadav; Chun Yen Chuang; Kai Ming Feng; Jyehong Chen; Young Kai Chen

Structured sparsity learning-based pruned retraining volterra equalization for data-center interconnects

Govind Sharan Yadav, Chun Yen Chuang, Kai Ming Feng^*, Jyehong Chen, Young Kai Chen

^*此作品的通信作者

光電工程學系

研究成果: Conference contribution › 同行評審

摘要

We propose a structured sparsity learning-based pruned retraining Volterra equalization for inter-dadta-center interconnects. Compared with conventional VE, we achieve 95% and 90.5% complexity reduction without signal degradation for B2B and 40-km at 80-Gb/s PAM4, respectively.

原文	English
主出版物標題	Optical Fiber Communication Conference, OFC 2021
發行者	Optica Publishing Group (formerly OSA)
ISBN（電子）	9781557528209
出版狀態	Published - 2021
事件	Optical Fiber Communication Conference, OFC 2021 - Virtual, Online, United States 持續時間: 6 6月 2021 → 11 6月 2021

出版系列

名字	Optics InfoBase Conference Papers

Conference

Conference	Optical Fiber Communication Conference, OFC 2021
國家/地區	United States
城市	Virtual, Online
期間	6/06/21 → 11/06/21

其它文件與鏈接

Link to publication in Scopus

引用此

@inproceedings{8d27b625b5344982ac6d7928939226c4,

title = "Structured sparsity learning-based pruned retraining volterra equalization for data-center interconnects",

abstract = "We propose a structured sparsity learning-based pruned retraining Volterra equalization for inter-dadta-center interconnects. Compared with conventional VE, we achieve 95% and 90.5% complexity reduction without signal degradation for B2B and 40-km at 80-Gb/s PAM4, respectively.",

author = "Yadav, {Govind Sharan} and Chuang, {Chun Yen} and Feng, {Kai Ming} and Jyehong Chen and Chen, {Young Kai}",

note = "Publisher Copyright: {\textcopyright} OSA 2021, {\textcopyright} 2021 The Author(s); Optical Fiber Communication Conference, OFC 2021 ; Conference date: 06-06-2021 Through 11-06-2021",

year = "2021",

language = "English",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "Optical Fiber Communication Conference, OFC 2021",

}

Yadav, GS, Chuang, CY, Feng, KM, Chen, J & Chen, YK 2021, Structured sparsity learning-based pruned retraining volterra equalization for data-center interconnects. 於 Optical Fiber Communication Conference, OFC 2021. Optics InfoBase Conference Papers, Optica Publishing Group (formerly OSA), Optical Fiber Communication Conference, OFC 2021, Virtual, Online, United States, 6/06/21.

TY - GEN

T1 - Structured sparsity learning-based pruned retraining volterra equalization for data-center interconnects

AU - Yadav, Govind Sharan

AU - Chuang, Chun Yen

AU - Feng, Kai Ming

AU - Chen, Jyehong

AU - Chen, Young Kai

PY - 2021

Y1 - 2021

N2 - We propose a structured sparsity learning-based pruned retraining Volterra equalization for inter-dadta-center interconnects. Compared with conventional VE, we achieve 95% and 90.5% complexity reduction without signal degradation for B2B and 40-km at 80-Gb/s PAM4, respectively.

AB - We propose a structured sparsity learning-based pruned retraining Volterra equalization for inter-dadta-center interconnects. Compared with conventional VE, we achieve 95% and 90.5% complexity reduction without signal degradation for B2B and 40-km at 80-Gb/s PAM4, respectively.

UR - http://www.scopus.com/inward/record.url?scp=85133738425&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85133738425

T3 - Optics InfoBase Conference Papers

BT - Optical Fiber Communication Conference, OFC 2021

PB - Optica Publishing Group (formerly OSA)

T2 - Optical Fiber Communication Conference, OFC 2021

Y2 - 6 June 2021 through 11 June 2021

ER -

Structured sparsity learning-based pruned retraining volterra equalization for data-center interconnects

摘要

出版系列

Conference

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