Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 1 2020
Modulation Scheme Identification Based on Artificial Neural Network Algorithms for Optical Communication
System
Dublin Core
Title
Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 1 2020
Modulation Scheme Identification Based on Artificial Neural Network Algorithms for Optical Communication
System
Modulation Scheme Identification Based on Artificial Neural Network Algorithms for Optical Communication
System
Subject
artificial neural network (ANN); back-propagation; optical system optimization; modulation format identification (MFI).
Description
Abstract. Higher-order modulation schemes in optical communication systems that suffer from several impairments can use artificial intelligence (AI) algorithms, among other possible techniques, to mitigate these issues. In this paper, several techniques for optical communication systems have been proposed to enhance the performance of dual-polarization (DP) M-ary Quadrature Amplitude Modulation (M-QAM) as DP-16-QAM, DP-64-QAM, DP-128-QAM, and DP-256-QAM with 240Gbps data rate. Artificial neural networks (ANNs) with seven different training
algorithms have been applied to optimize the optical communication system. A high optimization of modulation format identification (MFI) with accuracy up to 100% was obtained at about 13 dB OSNR and at 22 dB OSNR for the DP-265-QAM
format.
algorithms have been applied to optimize the optical communication system. A high optimization of modulation format identification (MFI) with accuracy up to 100% was obtained at about 13 dB OSNR and at 22 dB OSNR for the DP-265-QAM
format.
Creator
Mustafa A. Jalil , Jenan Ayad & Hanan J. Abdulkareem
Source
DOI: 10.5614/itbj.ict.res.appl.2020.14.1.5
Publisher
IRCS-ITB
Date
03 April 2020
Contributor
Sri Wahyuni
Rights
ISSN: 2337-5787
Format
PDF
Language
English
Type
Text
Coverage
Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 1 2020
Files
Collection
Citation
Mustafa A. Jalil , Jenan Ayad & Hanan J. Abdulkareem, “Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 1 2020
Modulation Scheme Identification Based on Artificial Neural Network Algorithms for Optical Communication
System,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/3374.
Modulation Scheme Identification Based on Artificial Neural Network Algorithms for Optical Communication
System,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/3374.