Optimization with genetic algorithm of temperature-dependent fiber length of L-band EDFA gain

Authors

MURAT YÜCEL
DAMT ADNAN MUSTAFA MUSTAFA

DOI

10.3906/elk-1309-95

Abstract

Erbium-doped fiber amplifiers (EDFAs) have great importance in long-distance communication. It is required to have equal gain for all signals that are transferred and to avoid loss in the receiver of long-distance communication systems. However, temperature dependence changes the output spectrum of the designed gain-flattening systems. In this study, each erbium-doped fiber (EDF) length of a two-stage L-band EDFA has been optimized using a genetic algorithm method; because of the temperature dependence of EDFAs, there is no general rule. Thus, a simple, fast, dynamic, and highly accurate model has been developed and obtained for different EDF lengths that will fix gain along the L-band. The results have been shown to be very compatible with the previously obtained numerical values.

Keywords

Erbium-doped fiber amplifiers, genetic algorithm, fiber length, optimization

First Page

1034

Last Page

1043

Recommended Citation

YÜCEL, MURAT and MUSTAFA, DAMT ADNAN MUSTAFA (2016) "Optimization with genetic algorithm of temperature-dependent fiber length of L-band EDFA gain," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 24: No. 3, Article 25. https://doi.org/10.3906/elk-1309-95
Available at: https://journals.tubitak.gov.tr/elektrik/vol24/iss3/25