Employing Deep Neural Network for High Speed 4-PAM Optical Interconnect

Chun Yen Chuang; Chia Chien Wei; Tien Chien Lin; Kai Lun Chi; Li Chun Liu; Jin Wei Shi; Young Kai Chen; Jyehong Chen

doi:10.1109/ECOC.2017.8346205

Employing Deep Neural Network for High Speed 4-PAM Optical Interconnect

Chun Yen Chuang, Chia Chien Wei, Tien Chien Lin, Kai Lun Chi, Li Chun Liu, Jin Wei Shi, Young Kai Chen, Jyehong Chen

Department of Electrical Engineering

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

50 Scopus citations

Abstract

We implement a deep neural network (DNN) to attain a 64-Gbps 4-PAM, 4-km MMF link by using 850-nm VCSEL, with BER of 4.41 ×10^-5. The data-rate-distance product achieves recorded high of 256-Gbps-km for Inter-data center applications.

Original language	English
Title of host publication	43rd European Conference on Optical Communication, ECOC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-3
Number of pages	3
ISBN (Electronic)	9781538656242
DOIs	https://doi.org/10.1109/ECOC.2017.8346205
State	Published - 21 Sep 2017
Event	43rd European Conference on Optical Communication, ECOC 2017 - Gothenburg, Sweden Duration: 17 Sep 2017 → 21 Sep 2017

Publication series

Name	European Conference on Optical Communication, ECOC
Volume	2017-September

Conference

Conference	43rd European Conference on Optical Communication, ECOC 2017
Country/Territory	Sweden
City	Gothenburg
Period	17/09/17 → 21/09/17

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10.1109/ECOC.2017.8346205

Cite this

Chuang, C. Y., Wei, C. C., Lin, T. C., Chi, K. L., Liu, L. C., Shi, J. W., Chen, Y. K., & Chen, J. (2017). Employing Deep Neural Network for High Speed 4-PAM Optical Interconnect. In 43rd European Conference on Optical Communication, ECOC 2017 (pp. 1-3). (European Conference on Optical Communication, ECOC; Vol. 2017-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECOC.2017.8346205

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abstract = "We implement a deep neural network (DNN) to attain a 64-Gbps 4-PAM, 4-km MMF link by using 850-nm VCSEL, with BER of 4.41 ×10-5. The data-rate-distance product achieves recorded high of 256-Gbps-km for Inter-data center applications.",

author = "Chuang, {Chun Yen} and Wei, {Chia Chien} and Lin, {Tien Chien} and Chi, {Kai Lun} and Liu, {Li Chun} and Shi, {Jin Wei} and Chen, {Young Kai} and Jyehong Chen",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 43rd European Conference on Optical Communication, ECOC 2017 ; Conference date: 17-09-2017 Through 21-09-2017",

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doi = "10.1109/ECOC.2017.8346205",

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Chuang, CY, Wei, CC, Lin, TC, Chi, KL, Liu, LC, Shi, JW, Chen, YK & Chen, J 2017, Employing Deep Neural Network for High Speed 4-PAM Optical Interconnect. in 43rd European Conference on Optical Communication, ECOC 2017. European Conference on Optical Communication, ECOC, vol. 2017-September, Institute of Electrical and Electronics Engineers Inc., pp. 1-3, 43rd European Conference on Optical Communication, ECOC 2017, Gothenburg, Sweden, 17/09/17. https://doi.org/10.1109/ECOC.2017.8346205

Employing Deep Neural Network for High Speed 4-PAM Optical Interconnect. / Chuang, Chun Yen; Wei, Chia Chien; Lin, Tien Chien et al.
43rd European Conference on Optical Communication, ECOC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-3 (European Conference on Optical Communication, ECOC; Vol. 2017-September).

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

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AB - We implement a deep neural network (DNN) to attain a 64-Gbps 4-PAM, 4-km MMF link by using 850-nm VCSEL, with BER of 4.41 ×10-5. The data-rate-distance product achieves recorded high of 256-Gbps-km for Inter-data center applications.

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Y2 - 17 September 2017 through 21 September 2017

ER -

Employing Deep Neural Network for High Speed 4-PAM Optical Interconnect

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