Improved Elitist Genetic Algorithm Optimization based PTS to PAPR Reduction for Multi-Carrier Signals

Abstract

The high peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) modulation systems can significantly reduce the energy efficiency of high power amplifier (HPA). For PAPR reduction in OFDM systems, partial transmit sequence (PTS) scheme is a widely used technique to reduce the high PAPR problem inherent in 5G waveform design. Traditionally, the existing PTS algorithms attempt to minimize the PAPR, in which the computational unpredictability and cost of customary PTS strategy are enormous. Thus it is urgent to enhance computational efficiency to obtain the optimal phase factors of PTS scheme. In this paper, an improved scheme called elitist genetic algorithm based PTS (EGA-PTS) scheme for optimum phase rotation factors searching is presented. Simulation results show that, EGA-PTS scheme can achieve better PAPR reduction performance with the same searching complexity compared with traditional PTS scheme, simple genetic algorithm (SGA) based PTS scheme and binary particle swarm optimization (BPSO) algorithm based PTS scheme.