Performance Evaluation of DWDM Optical Transmission System Using Deep Learning Technique

被引：2

作者：

Jha, Dhirendra Kumar ^{[1
]}

Mishra, Jitendra K. ^{[1
]}

机构：

[1] Indian Inst Informat Technol Ranchi, Dept Elect & Commun Engn, Jharkhand 834010, India

来源：

2021 ANNUAL CONFERENCE OF THE IEEE PHOTONICS SOCIETY (IPC) | 2021年

关键词：

Machine Learning; Deep Learning; Artificial Neural Network; DWDM; Nonlinear Optical Communication;

D O I：

10.1109/IPC48725.2021.9592951

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

An intelligent bit-error-rate (BER) analyzer is proposed to implement quality factor estimation using an artificial neural network based deep learning technique; which offers a great potential to process the BER diagram in its numerical form, without knowing other optical link parameters or original data information.

引用

页数：2

共 7 条

[1] Machine Learning Regression Approach to the Nanophotonic Waveguide Analyses [J].

Chugh, Sunny ;

Ghosh, Souvik ;

Gulistan, Aamir ;

Rahman, B. M. A. .

JOURNAL OF LIGHTWAVE TECHNOLOGY, 2019, 37 (24) :6080-6089

[2] Machine learning approach for computing optical properties of a photonic crystal fiber [J].

Chugh, Sunny ;

Gulistan, Aamir ;

Ghosh, Souvik ;

Rahman, B. M. A. .

OPTICS EXPRESS, 2019, 27 (25) :36414-36425

[3]

Goodfellow I, 2016, ADAPT COMPUT MACH LE, P1

[4]

Keras, ABOUT US

[5] Deep learning [J].

LeCun, Yann ;

Bengio, Yoshua ;

Hinton, Geoffrey .

NATURE, 2015, 521 (7553) :436-444

[6] Advanced Convolutional Neural Networks for Nonlinearity Mitigation in Long-Haul WDM Transmission Systems [J].

Sidelnikov, Oleg ;

Redyuk, Alexey ;

Sygletos, Stylianos ;

Fedoruk, Mikhail ;

Turitsyn, Sergei .

JOURNAL OF LIGHTWAVE TECHNOLOGY, 2021, 39 (08) :2397-2406

[7]

TensorFlow, Large-Scale Machine Learning on Heterogeneous Systems

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