Fractional Wavelet Transform based PAPR Reduction Schemes in Multicarrier Modulation System

The future mobile communication system stimulates researcher to improve the spectral efficiency with reduced data loss by carrying out several works. High peak to average power ratio (PAPR) of the transmitted signal is the major drawback in the multicarrier transmission like orthogonal frequency division multiplexing. This study presents a novel way to improve the performance of the multicarrier transmission system with the reduction of PAPR. It is achieved by reconstructing the Fourier-based OFDM block with the help of fractional wavelet transform. This transform provides the accurate joint information of time and fractional frequency contents of the signal which highlights the proposed system. In this system, the wavelet transform is utilized to remove the usage of cyclic prefix and to improve the bandwidth efficiency. In addition, the analysis of PAPR in the FrWT-based OFDM is carried out with the help of selective mapping (SLM) and partial transmit sequences (PTSs) techniques. The simulated results are compared with the existing PAPR analysis of Fourier and wavelet-based OFDM systems. The proposed system shows reduced PAPR of 6.6 dB with SLM scheme and 4.8 dB with PTS scheme to achieve complementary cumulative distribution function of 10(-3). The overall performance of the FrWT-OFDM transceiver is analyzed by means of bit error rate (BER) plots and it also shows BER reduction of 0.0028 with SLM scheme and 0.0012 with PTS scheme at high SNR of 16 dB.

Automated summary

This study presents a novel approach to improve the performance of multicarrier transmission system by reducing peak to average power ratio (PAPR). It achieves this by reconstructing the Fourier-based OFDM block using fractional wavelet transform, which provides accurate joint information of time and frequency contents. The proposed system shows reduced PAPR and bit error rate (BER), making it an effective solution for future mobile communication systems.