Artificial neural network equalizers for PAM-4 using DML-on-silicon

Nikolaos Panteleimon Diamantopoulos, Takuro Fujii, Hidetaka Nishi, Koji Takeda, Takaaki Kakitsuka, Shinji Matsuo

研究成果

抄録

Nonlinear equalizers (NLEs) based on artificial neural networks (ANNs) are studied for short-reach 4-level pulse amplitude modulation (PAM-4) transmissions [1,2] utilizing directly-modulated membrane lasers fabricated on silicon substrates (DMLs-on-Si) [3,4]. Using 28-GBaud signals over 2-km of single-mode fiber (SMF), we compare two ANN-NLEs with a previously developed reduced-complexity Volterra-NLE (VNLE) [5].

本文言語English
ホスト出版物のタイトル2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728104690
DOI
出版ステータスPublished - 2019 6
外部発表はい
イベント2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019 - Munich, Germany
継続期間: 2019 6 232019 6 27

出版物シリーズ

名前2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019

Conference

Conference2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019
国/地域Germany
CityMunich
Period19/6/2319/6/27

ASJC Scopus subject areas

  • 分光学
  • 電子材料、光学材料、および磁性材料
  • 器械工学
  • 原子分子物理学および光学
  • コンピュータ ネットワークおよび通信

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