A Novel PAPR Reduction Algorithm Based on SLM Technique in UFMC Systems

The universal filtered multi-carrier (UFMC) has been taken as a promising candidate for the upcoming 5G wireless communication thanks to the improved spectral occupation and resistance to the carrier frequency offset (CFO). However, all the multicarrier systems have a high peak-to-average power ratio (PAPR), so does UFMC. High PAPR value will bring huge challenge for the demodulation and hardware design in system receiver, so it is necessary to suppress PAPR in UFMC systems. Selected mapping (SLM) technique can reduce PAPR without signal distortion. In this paper, a novel PAPR suppress technique using SLM based on Improve Genetic Algorithm (IGASLM) is proposed. Simulation results show that the proposed algorithm can significantly reduce PAPR in UFMC systems and the PAPR performs better than other methods such as traditional Genetic algorithm, DFT-Precoding method and the PTS method. Meanwhile it has no effect on the performance of bit error rate (BER) or power spectral density (PSD).