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

Xingsi Xue; SatheeshKumar Palanisamy; Manikandan A; DhanaSekaran Selvaraj; Osamah Ibrahim Khalaf; Ghaida Muttashar Abdulsahib

doi:10.1016/j.heliyon.2023.e19451

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

Heliyon. 2023 Aug 24;9(9):e19451. doi: 10.1016/j.heliyon.2023.e19451. eCollection 2023 Sep.

Authors

Xingsi Xue¹, SatheeshKumar Palanisamy², Manikandan A³, DhanaSekaran Selvaraj⁴, Osamah Ibrahim Khalaf⁵, Ghaida Muttashar Abdulsahib⁶

Affiliations

¹ Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, China.
² Department of ECE, Coimbatore Institute of Technology, Coimbatore, Tamilnadu, 641014, India.
³ Department of ECE, SSM Institute of Engineering and Technology, Dindigul, India.
⁴ Department of ECE, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, 641202, India.
⁵ Al-Nahrain University, Al-Nahrain Renewable Energy Research Center, Baghdad, Iraq.
⁶ Department of Computer Engineering, University of Technology, Baghdad, Iraq.

Abstract

For Orthogonal Frequency Division Multiplexing (OFDM) systems, the most significant problem is the peak-to-average power ratio. The utilisation of partial transmission sequence, often known as PTS, is an efficient method for reducing PAPR. When it comes to minimizing the peak-to-average power ratio (PAPR) in Orthogonal Frequency Division Multiplexing (OFDM) Systems, PTS is one of the most effective approaches that may be used. Due to the substantial data load, using peak-to-average power ratio in OFDM is challenging. The most crucial problem with OFDM is achieving better results by lowering PAPR. Provide a PTS in this research that is based on the Chaotic Biogeography Based Optimization (CBBO) algorithm to effectively address the high PAPR issue that exists in Generalized Frequency Division Multiplexing (GFDM) waveforms using Hermitian Symmetry property is used. The Hermitian symmetry is utilised in order to acquire a real-valued time-domain signal. Phase rotation factor combinations are carried out in an effective and optimal manner through the utilisation of an innovative combination of optimization techniques. In comparison to conventional optimization techniques, a new hybrid optimization offers quick convergence quality and minimal complexity. When compared to traditional PTS methods such traditional GFDM and OFDM-PTS, experimental results demonstrate that the suggested CBBO-PTS technique significantly improves on minimizing PAPR.

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