A modified genetic algorithm PTS technique for PAPR reduction in OFDM systems

In this paper, we propose a peak-to-average power ratio (PAPR) reduction method for an orthogonal frequency division multiplexing (OFDM) system by combining the improved genetic algorithm used the partheno-crossover operator (PCGA) with partial transmit sequence (PTS) scheme, called PCGA-PTS. Recently, the genetic algorithm based PTS scheme (GA-PTS) is a novel PAPR reduction method, which has lower computational load than the PTS technique and is a suboptimal PAPR reduction method. However, how to further improve the PAPR performance of GA-PTS in OFDM systems is still an active research. Therefore, this paper proposes a new PAPR reduction method to improve the PAPR performance of GA-PTS, based on the same computational complexity. Our proposed method uses a two-step crossover operator and a mutation operator to generate the offspring, and then selects the proper candidates from the offspring to be the individuals of new population, where the two-step crossover operator is composed of a crossover operator and a partheno-crossover operator. In simulation results, our proposed method has better PAPR performance than the GA-PTS technique in OFDM systems.