Using Probabilistic Optimization Algorithms to Reduce PAPR in OFDM System

Abstract

Orthogonal frequency division multiplexing (OFDM) is a swiftly growing multi-carrier modulation technique. OFDM gives high data rate for transmission of information from one location to another. Peak to average power ratio (PAPR) has been a constraining component of OFDM. Various techniques have been proposed to reduce PAPR. Partial Transmit Sequence (PTS) is a distortion less technique that improves PAPR performance. The PTS technique reduces PAPR by a fair margin. However, the major drawback of PTS is that for large number of IFFT calculations the computational complexity increases. Various optimization techniques have been implemented to reduce the complexity in PTS technique. In this paper, we propose an Ant Colony Optimization (ACO) based PTS technique to achieve least PAPR in OFDM. The simulation results confirm that the proposed technique can accomplish the noteworthy PAPR diminishment with less computational complexity.