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Universal Filter Multi-Carrier (UFMC) is one of the most recommended waveform designs for the next-generation wireless communication system. UFMC provides high spectral efficiency, better sub-carrier separation with less PAPR when compared to OFDM. The major drawback of UFMC is that it suffers from a significant peak to average power ratio similar to multi-carrier communication techniques like Orthogonal Frequency Division Multiplexing (OFDM). The research gap is addressed by proposing the signal scrambling technique to reduce the Peak Average Power Ratio(PAPR) in UFMC. A Shuffled Frog Leaping Algorithm (SFLA) is used as an optimizer to verify the entire search space for optimal phase vectors within the time constraints to produce the best-modified UFMC signal with less PAPR. An analogy between OFDM, UFMC and signal-scrambling UFMC is performed, and it is observed that the signal-scrambled UFMC produces better results than general UFMC and OFDM in terms of PAPR.

Comprehensive Analysis of PAPR Reduction in OFDM, UFMC and Signal Scrambling UFMC Technique using Shuffled Frog Leaping Algorithm