Channel Impulse Response Equalization based on Genetic Algorithm in Mode Division Multiplexing

Authors

  • Alaa Fareed Internetworks Research Laboratory, School of Computing, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia. Optical Computing & Technology Laboratory, School of Computing, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia.
  • Angela Amphawan Internetworks Research Laboratory, School of Computing, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia. Optical Computing & Technology Laboratory, School of Computing, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia.
  • Yousef Fazea Internetworks Research Laboratory, School of Computing, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia. Optical Computing & Technology Laboratory, School of Computing, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia.
  • Mohd Samsu Sajat Internetworks Research Laboratory, School of Computing, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia.
  • Suwannit Chareen Chit Internetworks Research Laboratory, School of Computing, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia.

Keywords:

Mode Division Multiplexing, Equalization, Genetic Algorithm, Mode Coupling,

Abstract

This paper proposed to use genetic algorithm (GA) as an adaptive algorithm for mode division multiplexing (MDM) equalization in order to minimize the mean square error as well as to maximize the similarity between the ideal signal and the MDM distorted signal. A significant result has been obtained of implementing GA on MDM equalization compared to other conventional algorithm such as least mean square (LMS) which is used dominantly in current equalizations.

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Published

2018-07-03

How to Cite

Fareed, A., Amphawan, A., Fazea, Y., Sajat, M. S., & Chit, S. C. (2018). Channel Impulse Response Equalization based on Genetic Algorithm in Mode Division Multiplexing. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(2-4), 149–154. Retrieved from https://jtec.utem.edu.my/jtec/article/view/4334