An optimal partial transmit sequence combination method for peak-to-average power ratio reduction in SC-FDMA system

Peak to average power ratio (PAPR) is the major problem in wireless transmission system. Partial transmit sequences (PTS) is one of effective method to reduce PAPR. PTS divides the input data into sub-blocks, and each of sub-blocks are multiply by phase factor to generate numerous candidate sequences. Then choose one of candidate sequence with minimum PAPR to transmission. However, PTS suffer from high computational complexity when increases with number of sub-blocks. Single carrier frequency division multiplexing access (SC-FDMA) has provided lower PAPR compare with orthogonal frequency division multiplexing (OFDM), and has been choose for uplink system in long term evolution (LTE) technology. We proposed a combination based on particle swarm optimization (PSO) to decrease the computational complexity.