Title :
A modified genetic algorithm PTS technique with error correction for PAPR reduction in OFDM systems
Author :
Liang, Hsinying ; Lin, Zhe ; Chen, Houshou ; Yang, Cheng-Ying
Author_Institution :
Dept. of Inf. & Commun. Eng., Chaoyang Univ. of Technol., Taichung, Taiwan
Abstract :
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.
Keywords :
OFDM modulation; error correction; genetic algorithms; OFDM systems; PCGA-PTS scheme; RM-PTS scheme; error correction; genetic algorithm PTS technique; low computational loads; partheno-crossover operator; partial transmit sequence; peak-to-average power ratio reduction method; transmitted signal; transmitter; Biological cells; Error correction; Partial transmit sequences; Peak to average power ratio; Transmitters; Wireless communication;
Conference_Titel :
Information Theory and its Applications (ISITA), 2010 International Symposium on
Conference_Location :
Taichung
Print_ISBN :
978-1-4244-6016-8
Electronic_ISBN :
978-1-4244-6017-5
DOI :
10.1109/ISITA.2010.5649479