Esmot Ara Tuli, Rubina Akter, Jae Min Lee, Dong-Seong Kim
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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.
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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