Performance Analysis of PAPR Reduction in Multi-User OFDM Systems Using PTS, PSO-PTS AND DE-PTS Techniques

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) is widely employed in modern multi-user wireless systems due to its high spectral efficiency and robustness to multipath fading. However, the high Peak-to-Average Power Ratio (PAPR) of OFDM signals reduces power amplifier efficiency and degrades system performance. This paper presents a comparative analysis of Partial Transmit Sequence (PTS), Particle Swarm Optimization-based PTS (PSO-PTS), and Differential Evolution-based PTS (DE-PTS) techniques for PAPR reduction in multi-user OFDM systems. The proposed methods are implemented in MATLAB and evaluated in terms of PAPR, Bit Error Rate (BER), and spectral efficiency. Simulation results demonstrate that DE-PTS achieves the lowest PAPR of approximately 5.3 dB with minimal BER degradation and improved spectral efficiency, outperforming conventional PTS and PSO-PTS methods. These findings confirm the effectiveness of optimization-based PTS techniques for enhancing performance in next-generation wireless communication systems.