Adaptive Amplitude Clipping PAPR Reduction Technique Using Extended Peak Reduction Tone Set

In tone reservation (TR) based OFDM systems, the peak to average power ratio (PAPR) reduction performance mainly depends on the selection of the peak reduction tone (PRT) set and the optimal target clipping level. Determining the optimal PRT set requires an exhaustive search of all combinations of possible PRT sets and this search is impractical for the number of tones used in practical systems. There are other selection methods too but with high computational complexity.
In this paper, an efficient scheme based on genetic algorithm (GA), is proposed for searching a nearly optimal extended PRT set. TR-based clipping is simple and attractive for practical implementation but determination of the optimal target clipping level is difficult. To overcome this problem, an adaptive clipping control algorithm is used. Simulation results show that the proposed algorithm efficiently obtains a nearly optimal extended PRT set and significant PAPR reduction.