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A Tone Injection PAPR Reduction Method using Multi-objective Optimization based on Weighted-sum Genetic Algorithm  

Park, Soon-Kyu (숭실대학교 정보통신공학과 통신 및 신호처리 연구실)
Lee, Won-Cheol (숭실대학교 정보통신공학과 통신 및 신호처리 연구실)
Abstract
Tone injection scheme has been known as one of peak to average power ratio (PAPR) reduction methods deployable to multi-carrier system like orthogonal frequency division multiplexing (OFDM). The basic idea in tone injection scheme is to enforce the constellation size larger so that each of original constellation points is mapped into the preassigned distinct locations. According to the tone injection scheme, it increases symbol power highly induced inherently by expanding constellation to get optimal PAPR reduction. In the other hand, to get optimal power increase, the PAPR would be reduced insufficiently with limited tone injection signal. To withstand these problems, this paper consider the reduction of the PAPR and power increase problem simultaneously, Toward this, the tone injection scheme accomplished by employing the weighted sum genetic algorithm which has been utilized to solve multi-objective optimization problem (MOOP). The simulation results verifies that the proposed scheme can control the effective PAPR performance and alleviation of power increase flexibly by the weight value at the expense of relatively low complexity.
Keywords
OFDM; PAPR; Tone Injection; Multi-objective Optimization Problem; Weighted sum based Genetic Algorithm;
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