Abstract
The Peak to Average Power Ratio (PAPR) in Orthogonal Frequency Division Multiplexing (OFDM) system can be decreased effectively through Partial Transmit Sequence (PTS) scheme. In optimum phase factors searches of the PTM scheme, there is a very high computational cost involved and this restricts its ability to be applied in practical applications, more so in the case of high speed data transmissions. A combination of Particle Swarm Optimization (PSO), Bacterial Foraging Optimization (BFO) and Genetic Algorithm (GA) with the PTS scheme in the OFDM system has been proposed in this work which is a PAPR reduction technique with lesser computational complexity. By performing a set of simulations with different PTS schemes, the performance of the PSO–PTS, BFO–PTS and GA–PTS scheme is comparatively investigated in terms of PAPR and computational cost reductions.
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