Reduction of PAPR and BER Using Hybrid Optimization GWOFA in OFDM Systems
Orthogonal frequency division multiplexing (OFDM) system can assure a greater immunity to multipath fading under a wireless communication environment. But the major challenge is to address the issue of high peak to average power ratio (PAPR) in OFDM systems. Orthogonal frequency division multiplexing (OFDM) is an efficient multi-carrier modulation technique that underlies most of the current and probably future high-speed wireless communication systems. However, the OFDM waveform is characterized by a high peak-to-average power ratio (PAPR), especially when a large number of subcarriers are used. A high PAPR is a major waveform defect since it leads to non-linear distortion when passing through the transmitter's power amplifier. Most of the PAPR reduction techniques found in the literature reduce the PAPR mainly at the cost of either excessive computational complexity or degrading the transmission bit error rate (BER). In this paper, a new hybridization of optimization techniques is proposed. Combination of SLM with grey wolf and firefly algorithm (GWOFA) is proposed. The obtained results are compared with other techniques like SLM, GA, FA, GWO. The analytical and simulated results show that the proposed technique is capable of reducing the PAPR effectively with negligible effect on BER.