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: Conference contribution

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The European Conference on Lasers and Electro-Optics, CLEO_Europe_2019
出版社OSA - The Optical Society
ISBN(電子版)9781557528209
出版ステータスPublished - 2019
外部発表はい
イベントThe European Conference on Lasers and Electro-Optics, CLEO_Europe_2019 - Munich, Germany
継続期間: 2019 6 232019 6 27

出版物シリーズ

名前Optics InfoBase Conference Papers
Part F140-CLEO_Europe 2019

Conference

ConferenceThe European Conference on Lasers and Electro-Optics, CLEO_Europe_2019
CountryGermany
CityMunich
Period19/6/2319/6/27

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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