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

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Conference paper

Structured Sparsity Learning-based pruned retraining Volterra Equalization for Data-Center Interconnects

Govind Sharan Yadav, Chun-Yen Chuang, Kai-Ming Feng, Jyehong Chen and Young-Kai Chen

2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings, 9489451

06/2021

Appears in keyword about Physics

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Artificial Intelligence

Computer Networks and Communications

Hardware and Architecture

Signal Processing

Electronic

Optical and Magnetic Materials

Instrumentation

Atomic and Molecular Physics

and Optics

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.

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Title: Structured Sparsity Learning-based pruned retraining Volterra Equalization for Data-Center Interconnects
Translated title: Structured Sparsity Learning-based pruned retraining Volterra Equalization for Data-Center Interconnects
Creators - without role: Govind Sharan Yadav - National Tsing Hua University , Institute of Photonics Technologies
Chun-Yen Chuang - National Chiao Tung University , Department of Photonics
Kai-Ming Feng - National Tsing Hua University , Institute of Photonics Technologies
Jyehong Chen - National Chiao Tung University , Department of Photonics
Young-Kai Chen - Darpa
Publication Details: 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings, 9489451
Identifiers: 9781943580866; 9957777592606774
Academic Unit: Institute of Photonics Technologies, College of Electrical Engineering and Computer Science, National Tsing Hua University
Language: English
Resource Type: Conference paper

Structured Sparsity Learning-based pruned retraining Volterra Equalization for Data-Center Interconnects

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