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This paper proposes a novel peak-to-average power ratio (PAPR) reduction method with low complexity by combining the RM-PTS scheme with the PCGA-PTS scheme, called RM-PCGA-PTS. The RM-PTS scheme not only the transmitted signal has error correction capability but also the transmitter has no need to transmit side information. However, one major drawback of the RM-PTS scheme is high computational loads which also occur in the PTS scheme for finding the transmitted signal with minimum PAPR out. Therefore, this paper investigates a suboptimal PAPR reduction method with low computational loads by using the improved genetic algorithm used the partheno-crossover operator (PCGA) as the selection mechanism of RM-PTS scheme. The GA-PTS scheme is an active PAPR reduction method, which has better PAPR performance than the GD-PTS scheme and has lower computational load than the PTS scheme and the GD-PTS scheme. Note that the GA-PTS scheme has no error correction capability and is a suboptimal PAPR reduction method. Based on the same computational loads, the RM-PCGA-PTS scheme with natural ordering has better PAPR performance than the GA-PTS scheme with adjacent partition in simulation results.
Date of Conference: 17-20 Oct. 2010