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

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

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

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

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

Abstract

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].

Original language	English
Title of host publication	The European Conference on Lasers and Electro-Optics, CLEO_Europe_2019
Publisher	OSA - The Optical Society
ISBN (Electronic)	9781557528209
Publication status	Published - 2019
Externally published	Yes
Event	The European Conference on Lasers and Electro-Optics, CLEO_Europe_2019 - Munich, Germany Duration: 2019 Jun 23 → 2019 Jun 27

Publication series

Name	Optics InfoBase Conference Papers
Volume	Part F140-CLEO_Europe 2019

Conference

Conference	The European Conference on Lasers and Electro-Optics, CLEO_Europe_2019
Country/Territory	Germany
City	Munich
Period	19/6/23 → 19/6/27

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

Artificial neural network equalizers for PAM-4 using DML-on-silicon. / Diamantopoulos, Nikolaos Panteleimon; Fujii, Takuro; Nishi, Hidetaka et al.

The European Conference on Lasers and Electro-Optics, CLEO_Europe_2019. OSA - The Optical Society, 2019. 2019-ci_3_2 (Optics InfoBase Conference Papers; Vol. Part F140-CLEO_Europe 2019).

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

Diamantopoulos, NP, Fujii, T, Nishi, H, Takeda, K, Kakitsuka, T & Matsuo, S 2019, Artificial neural network equalizers for PAM-4 using DML-on-silicon. in The European Conference on Lasers and Electro-Optics, CLEO_Europe_2019., 2019-ci_3_2, Optics InfoBase Conference Papers, vol. Part F140-CLEO_Europe 2019, OSA - The Optical Society, The European Conference on Lasers and Electro-Optics, CLEO_Europe_2019, Munich, Germany, 19/6/23.

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abstract = "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].",

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AU - Kakitsuka, Takaaki

AU - Matsuo, Shinji

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AB - 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].

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ER -

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

Abstract

Publication series

Conference

ASJC Scopus subject areas

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