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A Novel partial sequence technique based Chaotic biogeography optimization for PAPR reduction in eneralized frequency

Xingsi Xue1, SatheeshKumar Palanisamy2, Manikandan A3

  • 1Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, China.

Heliyon
|September 8, 2023
PubMed
Summary

This study introduces a Chaotic Biogeography Based Optimization (CBBO) algorithm for Partial Transmit Sequences (PTS) to reduce the high Peak-to-Average Power Ratio (PAPR) in Generalized Frequency Division Multiplexing (GFDM) systems.

Keywords:
Chaotic biogeography based optimization (CBBO)Complementary cumulative distribution function (CCDF)Generalized frequency division multiplexing (GFDM)Partial transmit sequence (PTS)QAM array

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Telecommunications

Background:

  • High Peak-to-Average Power Ratio (PAPR) is a significant challenge in Orthogonal Frequency Division Multiplexing (OFDM) and Generalized Frequency Division Multiplexing (GFDM) systems.
  • Reducing PAPR is crucial for improving system efficiency and performance, especially under substantial data loads.
  • Partial Transmit Sequence (PTS) is an effective technique for PAPR reduction.

Purpose of the Study:

  • To develop an efficient Partial Transmit Sequence (PTS) method based on the Chaotic Biogeography Based Optimization (CBBO) algorithm.
  • To address and significantly minimize the high PAPR issue in Generalized Frequency Division Multiplexing (GFDM) waveforms.
  • To leverage the Hermitian Symmetry property for acquiring real-valued time-domain signals.

Main Methods:

  • The proposed method utilizes the Chaotic Biogeography Based Optimization (CBBO) algorithm for optimizing phase rotation factor combinations in PTS.
  • Hermitian Symmetry property is employed to ensure a real-valued time-domain signal.
  • A novel hybrid optimization approach is implemented for efficient and optimal phase rotation factor selection.

Main Results:

  • The CBBO-PTS technique demonstrates superior performance in minimizing PAPR compared to traditional GFDM and OFDM-PTS methods.
  • The hybrid optimization approach offers quick convergence and minimal complexity.
  • Experimental results validate the significant PAPR reduction achieved by the proposed CBBO-PTS method.

Conclusions:

  • The developed CBBO-PTS technique is highly effective in reducing PAPR for GFDM systems.
  • The proposed method offers advantages in convergence speed and computational complexity over conventional techniques.
  • This research contributes a novel and efficient solution for PAPR mitigation in modern communication systems.