Performance improvement of Intensity Modulation Direct Detection optical OFDM systems by optimizing SLM technique using Advanced Genetic Algorithm

Authors

  • Mahmoud Alhalabi Department of Electrical and Electronic Engineering, Istanbul Yeni Yuzyil University, Maltepe Mahallesi, Yılanlı Ayazma Caddesi, No: 26, P.K. 34010 Cevizlibağ, Zeytinburnu, Istanbul, Türkiye
  • Necmi Taşpınar Department of Electrical and Electronics Engineering, Erciyes University, Köşk Mahallesi, Ahmet El Biruni Caddesi No:46, 38030 Melikgazi / Kayseri, Türkiye Kayseri, Türkiye
  • Mohammed Wadi Department of Electrical and Electronic Engineering, Istanbul Sabahattin Zaim University, Halkalı Cad. No: 281, Halkalı, 34303 Küçükçekmece, Istanbul, Türkiye

DOI:

https://doi.org/10.14513/actatechjaur.00866

Keywords:

IM/DD OFDM, PAPR, SLM, GA, PSD, PTS, BER

Abstract

This paper presents an improvement in the performance of an intensity modulation direct detection OFDM (IM/DD-OFDM) optical communication system by providing a 40 Gbps downstream signal. The system was simulated over a distance of 30 km using Single Mode Fiber (SMF). An advanced Genetic Algorithm based on Selected Mapping (AGA-SLM) was proposed and utilized as a new technique for reducing the Peak to Average Power Ratio (PAPR). This technique successfully reduces the PAPR of the original Orthogonal Frequency Division Multiplexing (OFDM) signal by half, leading to a decrease in hardware implementation costs and complexity, thus creating a more cost-effective optical communication system. The proposed AGA-SLM method enhances the proposed optical OFDM system by enhancing the Bit Error Rate (BER), power spectral density (PSD) performance, power savings, and reducing computational complexity. The proposed method demonstrates better simulation results than the classical partial transmit sequence (PTS) technique.

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References

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Published

2026-08-26

How to Cite

Alhalabi, M., Taşpınar, N., & Wadi, M. (2026). Performance improvement of Intensity Modulation Direct Detection optical OFDM systems by optimizing SLM technique using Advanced Genetic Algorithm. Acta Technica Jaurinensis, 19(3), 219–228. https://doi.org/10.14513/actatechjaur.00866

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Section

Research articles