May 19, 2024
Mehdi Hosseinzadeh Aghdam

Mehdi Hosseinzadeh Aghdam

Academic rank: Associate professor
Address: Velayat Highway, Bonab, Iran
Education: Ph.D in Computer Engineering-Artificial Intelligence
Phone: 041-37741636
Faculty: Faculty of Engineering
Department: Computer Engineering

Research

Title
PAPR reduction in OFDM systems: An effi cient PTS approach based on particle swarm optimization
Type Article
Keywords
OFDM; PAPR; PSO; PTS
Researchers Mehdi Hosseinzadeh Aghdam، Abbas Ali Sharifi

Abstract

Orthogonal frequency division multiplexing (OFDM) is a multicarrier modulation technique for high-speed data transmission in wireless communications. In an OFDM system, a large number of subcarriers are used to transmit the modulated symbols and consequently, the OFDM signals have a high peak-to-average power ratio (PAPR). To reduce the high PAPR, we propose a partial transmit sequence (PTS) method based on the adaptive particle swarm optimization. Also, the proposed method effi ciently search the optimal combination of phase rotation factors to decrease the computational complexity. Experimental results show that the proposed method signifi cantly has reduced the PAPR and computational complexity.