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DOI: 10.14569/IJACSA.2016.070824
PDF

Performance Optimization of the Multi-Pumped Raman Optical Amplifier using MOICA

Author 1: Mohsen Katebi Jahromi
Author 2: Seyed Mojtaba Saif
Author 3: Masoud Jabbari

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 8, 2016.

  • Abstract and Keywords
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Abstract: In order to achieve the best gain profile for multi pump distributed Raman amplifiers in Wavelength Division Multiplexing (WDM) transmission systems, the power and wavelength of pumps, the type of pumping configuration and the number of pump signals are the most important factors. In this paper, using a Multi-Objective Imperialist Competition Optimization Algorithm (MOICA) with lowest power consumption and lowest number of pumps, we propose the most uniform gain profile for two types of pumping configurations in S- band and compare the results. Considering the design conditions including the type of pumping configuration, fiber length, fiber type and number of pump signals and using the multi-objective algorithm, we propose a method which can be used to achieve a gain level in which the amplifier has the lowest power consumption and lowest gain ripple. According to this, we can design a powerful WDM transmission system by Distributed Raman Amplifier (DRA) with a good performance and efficiency.

Keywords: Raman amplifier; ICA; WDM System; Optical fiber; Multi-objective Optimization

Mohsen Katebi Jahromi, Seyed Mojtaba Saif and Masoud Jabbari, “Performance Optimization of the Multi-Pumped Raman Optical Amplifier using MOICA” International Journal of Advanced Computer Science and Applications(IJACSA), 7(8), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070824

@article{Jahromi2016,
title = {Performance Optimization of the Multi-Pumped Raman Optical Amplifier using MOICA},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070824},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070824},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {8},
author = {Mohsen Katebi Jahromi and Seyed Mojtaba Saif and Masoud Jabbari}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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