ANN Equalizer for Performance Improvement of PAM-M Signals Using 1.3-\mu \mathrm{m} Membrane DML-on-Silicon

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

doi:10.23919/PS.2019.8818106

ANN Equalizer for Performance Improvement of PAM-M Signals Using 1.3-\mu \mathrm{m} Membrane 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

A two-stage nonlinear equalization scheme based on a reduced Volterra filter and an artificial neural network (ANN) is studied for energy-efficient short-reach optical interconnects using 1.3-\mu m directly-modulated membrane lasers on silicon (DML-on-Si) and PAM-M signals.

Original language	English
Title of host publication	OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9784885523212
DOIs	https://doi.org/10.23919/PS.2019.8818106
Publication status	Published - 2019 Jul
Externally published	Yes
Event	24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing, OECC/PSC 2019 - Fukuoka, Japan Duration: 2019 Jul 7 → 2019 Jul 11

Publication series

Name	OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019

Conference

Conference	24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing, OECC/PSC 2019
Country	Japan
City	Fukuoka
Period	19/7/7 → 19/7/11

Keywords

Data Center Network and Subsystem
Digital signal processing techniques for optical communications
Si photonic and heterogeneous platform
Transmission experiments for data-center interconnect

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Electrical and Electronic Engineering
Instrumentation
Atomic and Molecular Physics, and Optics

Access to Document

10.23919/PS.2019.8818106

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Diamantopoulos, N. P., Fujii, T., Nishi, H., Takeda, K., Kakitsuka, T., & Matsuo, S. (2019). ANN Equalizer for Performance Improvement of PAM-M Signals Using 1.3-\mu \mathrm{m} Membrane DML-on-Silicon. In OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019 [8818106] (OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/PS.2019.8818106

ANN Equalizer for Performance Improvement of PAM-M Signals Using 1.3-\mu \mathrm{m} Membrane DML-on-Silicon. / Diamantopoulos, Nikolaos Panteleimon; Fujii, Takuro; Nishi, Hidetaka; Takeda, Koji; Kakitsuka, Takaaki; Matsuo, Shinji.

OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8818106 (OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019).

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

Diamantopoulos, NP, Fujii, T, Nishi, H, Takeda, K, Kakitsuka, T & Matsuo, S 2019, ANN Equalizer for Performance Improvement of PAM-M Signals Using 1.3-\mu \mathrm{m} Membrane DML-on-Silicon. in OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019., 8818106, OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019, Institute of Electrical and Electronics Engineers Inc., 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing, OECC/PSC 2019, Fukuoka, Japan, 19/7/7. https://doi.org/10.23919/PS.2019.8818106

Diamantopoulos NP, Fujii T, Nishi H, Takeda K, Kakitsuka T, Matsuo S. ANN Equalizer for Performance Improvement of PAM-M Signals Using 1.3-\mu \mathrm{m} Membrane DML-on-Silicon. In OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8818106. (OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019). https://doi.org/10.23919/PS.2019.8818106

Diamantopoulos, Nikolaos Panteleimon ; Fujii, Takuro ; Nishi, Hidetaka ; Takeda, Koji ; Kakitsuka, Takaaki ; Matsuo, Shinji. / ANN Equalizer for Performance Improvement of PAM-M Signals Using 1.3-\mu \mathrm{m} Membrane DML-on-Silicon. OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019).

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abstract = "A two-stage nonlinear equalization scheme based on a reduced Volterra filter and an artificial neural network (ANN) is studied for energy-efficient short-reach optical interconnects using 1.3-\mu m directly-modulated membrane lasers on silicon (DML-on-Si) and PAM-M signals.",

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