Whale optimization-based PTS scheme for PAPR reduction in UFMC systems
Paper Title: Whale optimization-based PTS scheme for PAPR reduction in UFMC systems
Journal Name: IET Communications
Abstract: 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.
Status: Published
Journal Type: International
Cite: Tuli, E. A., Akter, R., Lee, J. M., & Kim, S. (2023). Whale optimization-based PTS scheme for PAPR reduction in UFMC systems. IET Communications, 18(2), 187-195. https://doi.org/10.1049/cmu2.12708