A Comprehensive Probabilistic Analysis of PAPR Reduction Approach with Localized Mapping

In recent years, OFDMA plays a vital role in current day communications and drastically used in mobile technologies. The Maximum to Expected Power Ratio is key element in transmitter to reduce their ratio using PAPR reduction techniques needed to improve the quality of performance. The localized mapping in implemented in OFDMA and gives greater improvement in reduction of PAPR which improves the performance. The next generation communication needs versatile technologies to develop their performance in order to achieve the good quality of service. The probabilistic approach like Selective Mapping (SLM) and Partial Transmit Sequence (PTS) are proposed in Localized –OFDMA in order to give better solution. In this paper, the proposed approach L-PTS outperforms the L-SLM and better trade-off the power ratio with error rate