基于鲸鱼优化的 PTS 方案,用于降低 UFMC 系统的 PAPR

IF 1.5 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC IET Communications Pub Date : 2024-01-02 DOI:10.1049/cmu2.12708
Esmot Ara Tuli, Rubina Akter, Jae Min Lee, Dong-Seong Kim
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引用次数: 0

摘要

本文提出了一种基于鲸鱼优化算法(WOA)的部分发送序列(PTS)方案,称为 WOA-PTS,以降低通用滤波多载波(UFMC)系统的高峰值-平均功率比(PAPR)。高 PAPR 是多载波系统普遍面临的挑战。在传统的 PTS 技术中,相位旋转因子的优化是通过与子块相乘来实现的。在这项工作中,WOA 优化作为相位优化器被集成到基于 PTS 的 PAPR 降低方案中。实验结果表明,与基于 PTS 技术的 UFMC 信号相比,采用 WOA-PTS 技术的 UFMC 信号在互补累积分布函数值为 10-3 时,PAPR 降低了 4.15 dB,功率谱密度性能和误码率也得到了改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Whale optimization-based PTS scheme for PAPR reduction in UFMC systems

This paper proposes a whale optimization algorithm (WOA)-based partial transmit sequence (PTS) scheme called WOA-PTS to reduce the high peak-to-average power ratio (PAPR) for universal filtered multi-carrier (UFMC) systems. High PAPR is a prevalent challenge encountered in multi-carrier systems. In the conventional PTS technique, the optimization of phase rotation factors is achieved through multiplication with the sub-blocks. In this undertaking, WOA optimization is integrated as a phase optimizer in the PTS-based PAPR reduction scheme. The experimental results show that, when compared with PTS-based UFMC signal, the UFMC signal with WOA-PTS can achieve 4.15 dB PAPR reduction at the complementary cumulative distribution function value of 10−3, additionally power spectral density performance and bit error rate also improved.

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来源期刊
IET Communications
IET Communications 工程技术-工程:电子与电气
CiteScore
4.30
自引率
6.20%
发文量
220
审稿时长
5.9 months
期刊介绍: IET Communications covers the fundamental and generic research for a better understanding of communication technologies to harness the signals for better performing communication systems using various wired and/or wireless media. This Journal is particularly interested in research papers reporting novel solutions to the dominating problems of noise, interference, timing and errors for reduction systems deficiencies such as wasting scarce resources such as spectra, energy and bandwidth. Topics include, but are not limited to: Coding and Communication Theory; Modulation and Signal Design; Wired, Wireless and Optical Communication; Communication System Special Issues. Current Call for Papers: Cognitive and AI-enabled Wireless and Mobile - https://digital-library.theiet.org/files/IET_COM_CFP_CAWM.pdf UAV-Enabled Mobile Edge Computing - https://digital-library.theiet.org/files/IET_COM_CFP_UAV.pdf
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