Blind Selective Mapping in Preamble-Based OFDM for PAPR Reduction

High demand for a perfect and flawless communication system is one of the reasons why researches are trying hard to find the best solution for the issues faced by OFDM. One of the biggest problems is high PAPR value that can introduce all kind of distortions and interferences to the system and eventually threatening OFDM position in future technologies. Selective mapping was proven to be able to reduce PAPR value in OFDM without introducing any kind of distortion to the system but the need for side information transmission will reduce the efficiency of OFDM. In this paper, maximum likelihood estimation was utilized to recover the data transmitted to the receiver without the need of SI transmission. Preamble based OFDM was used to assure time synchronization in the system. PAPR value was greatly reduced by using SLM and increase proportionally with the number of subcarriers. BER of the system manged to be improved by the implementation of preamble and ML estimation though the performance degrades as the number of preamble increases.