Particle Swarm Optimization for PAPR Reduction of OFDM Systems

In wireless networks for high-speed data transfer, orthogonal frequency division multiplexing (OFDM) is a multicarrier modulation technology. Additionally, it provides better resistance to multipath fading, impulsive noise, and power efficiency. Although OFDM has these benefits, it does have a high peak-to-average power ratio (PAPR) issue. Partial transmit sequences (PTS) are one of the most widely used techniques for lowering the PAPR in OFDM systems. The search difficulty increases exponentially with the number of sub-blocks, and the partial transmits sequence (PTS) technique typically necessitates a thorough search over all feasible phase weighting factor combinations. In addition, according to earlier research, particle swarm optimization (PSO) can make the PTS technique’s computations simpler. Thus, PSO-based PTS is utilized in OFDM systems to address this issue and lessen the computing complexity of both PTS and the original PSO as well as the PAPR. It uses a quadrature phase shift keying modulation technique (QPSK). The PAPR values are successfully lowered at the end of this procedure using PSO-based PTS, whereas the PTS technique can only reduce the PAPR values by 3–6 dB.