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PAPR reduction using Intelligent Optimization Algorithms

by Mahmoud Alhalabi

LAP Lambert Academic Publishing

Paperback or Softback 00056 pages Jun 10, 2025

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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.
Author:
Mahmoud Alhalabi
Publisher:
LAP Lambert Academic Publishing
Publication Date:
Jun 10, 2025
Number of pages:
00056 pages
Binding:
Paperback or Softback
ISBN-10:
6208450160
ISBN-13:
9786208450168