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A New SPW Scheme for PAPR Reduction in OFDM Systems by Using Genetic Algorithm  

Kim Sung-Soo (Dept. of Electrical Engineering, Chungbuk National University)
Kim Myoung-Je (Dept. of Electrical Engineering, Chungbuk National University)
Kee Jong-Hae (Dept. of Electrical Engineering, Chungbuk National University)
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Abstract
An orthogonal frequency division multiplexing(OFDM) system has the problem of peak-to-average power ratio (PAPR) due to the overlapping phenomena of many sub-carriers. In order to improve the performance of PAPR, we propose in this paper a new genetic sub-block phase weighting(GA-SPW) using the SPW technique. Not only the selecting mapping(SLM) and the partial sequence(PTS) but also the previously proposed SPW becomes more effective as the number of sub-blocks and phase elements increases. However, all of them have limitation on the number of sub-blocks since the searching repetition increases exponentially as the number of sub-blocks increases. Therefore, in this research, a new GA SPW is proposed to reduce the amount of calculation by using Genetic algorithm(GA). In the proposed method, the number of calculations involved in the iterative phase searching yields to depend on the number of population and generation not on the number of sub-blocks and phase elements. The superiority of the proposed method is presented in the experimental results and analysis.
Keywords
Orthogonal Frequency Division Multiplexing; PAPR; SPW; PTS; SLM; GA;
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