Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
PAPR reduction using Intelligent Optimization Algorithms

PAPR reduction using Intelligent Optimization Algorithms

Wadi, Mohammed
Alhalabi, Mahmoud
Taşpinar, Necmi

Paperback

Technology & Engineering

ISBN10: 6208450160
ISBN13: 9786208450168
Publisher: LAP Lambert Academic Publishing
Published: Jun 10 2025
Pages: 56
Weight: 0.19
Height: 0.13 Width: 6.00 Depth: 9.00
Language: English
In Intensity-Modulated Direct Detection Optical Orthogonal Frequency Division Multiplexing (IM/DD-OOFDM) communication systems, a lower Peak-to-Average Power Ratio (PAPR) is essential for improving system performance. In order to reduce the high PAPR, a Discrete Forest Optimization Algorithm (DFOA) is integrated with the classical Selective Mapping (SLM) method in IM/DD-OFDM system. This approach successfully optimizes the values of phase factors, minimizes the search numbers, and reduces computational complexity. To evaluate the impact of the DFOA-SLM method on PAPR reduction, the parameters of the DFOA-SLM method play a crucial role in decreasing the PAPR in an IM/DD optical OFDM system. The DFOA-SLM method demonstrates improved Bit Error Rate (BER) performance, power spectral density (PSD), and power saving performance compared to other PAPR reduction methods.

Also from

Alhalabi, Mahmoud

View All

Also in

Technology & Engineering

View All