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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 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 languageEnglish
Title of host publication43rd European Conference on Optical Communication, ECOC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-3
Number of pages3
ISBN (Electronic)9781538656242
DOIs
StatePublished - 21 Sep 2017
Event43rd European Conference on Optical Communication, ECOC 2017 - Gothenburg, Sweden
Duration: 17 Sep 201721 Sep 2017

Publication series

NameEuropean Conference on Optical Communication, ECOC
Volume2017-September

Conference

Conference43rd European Conference on Optical Communication, ECOC 2017
CountrySweden
CityGothenburg
Period17/09/1721/09/17

Fingerprint Dive into the research topics of 'Employing Deep Neural Network for High Speed 4-PAM Optical Interconnect'. Together they form a unique fingerprint.

  • 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