A novel discrete elephant herding optimization-based PTS scheme to reduce the PAPR of universal filtered multicarrier signal


Şimşir Ş., TAŞPINAR N.

Engineering Science and Technology, an International Journal, vol.24, pp.1428-1441, 2021 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 24
  • Publication Date: 2021
  • Doi Number: 10.1016/j.jestch.2021.03.001
  • Title of Journal : Engineering Science and Technology, an International Journal
  • Page Numbers: pp.1428-1441
  • Keywords: UFMC, 5G, PAPR, PTS, Elephant herding optimization, Discrete elephant herding optimization, AVERAGE POWER RATIO, ALGORITHM, OFDM

Abstract

© 2021 Karabuk UniversityThe recently proposed waveform called universal filtered multicarrier (UFMC) has already managed to get the attention of science world due to its superior features and it has been accepted as one of the foremost fifth generation (5G) waveform contenders. However, due to being a type of multicarrier waveform, the UFMC suffers from the problem of high peak-to-average power ratio (PAPR). In this paper, a new discrete elephant herding optimization-based partial transmit sequence (DEHO-PTS) scheme is suggested to reduce the PAPR of UFMC signals to minimum levels. Due to the fact that the optimization of phase rotation factors multiplied by the sub-blocks in the conventional partial transmit sequence (PTS) technique is a combinatorial optimization problem to be solved in discrete space, in order to integrate the elephant herding optimization (EHO) algorithm into the PTS scheme, we developed its discrete version (DEHO) in this paper. In the simulations, the capability of the suggested DEHO-PTS procedure to minimize the PAPR, suppress the out-of-band emission and decrease the bit error rate of the UFMC signal amplified via a nonlinear high power amplifier was analyzed. Simulation results clearly indicate that our proposed DEHO-PTS procedure can be a serious option for UFMC waveform to minimize the PAPR values of transmission signals due to its significant PAPR reduction, side lobe suppression and bit error rate performances with low computational complexity.