Open AccessPTS scheme based on MCAKM for peak‐to‐average power ratio reduction in OFDM systems
Author(s) -
Hadj Ali Tarik,
Hamza Abdelkrim
Publication year - 2020
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2019.0142
Subject(s) - orthogonal frequency division multiplexing , reduction (mathematics) , computational complexity theory , algorithm , rotation (mathematics) , computer science , bit error rate , power (physics) , phase (matter) , particle swarm optimization , mathematical optimization , mathematics , telecommunications , artificial intelligence , decoding methods , channel (broadcasting) , chemistry , geometry , physics , organic chemistry , quantum mechanics
This study considers the application of the partial transmit sequence (PTS) technique to reduce the peak‐to‐average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) systems. The conventional PTS approach has proved its high effectiveness in PAPR reduction for OFDM signals where the reduction performance of PAPR depends mainly on phase rotation factors. Finding the optimal phase rotation factors requires an exhaustive computationally task, which is a serious implementation problem in practical systems. To fix this issue of computational complexity and reduce the PAPR at the same time, in the present work, a novel PTS approach based on multi‐population cultural algorithm adopting knowledge migration (MCAKM) has been proposed for optimal phase rotation factors search. Computer simulation results show that the proposed MCAKM–PTS technique leads to a better PAPR reduction and bit error rate performance with a significant reduction in computational complexity compared to the conventional PTS and the previously optimisation algorithms applied to PTS such as particle swarm optimisation, artificial bee colony, and electromagnetism‐like algorithm.