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.

通用滤波器多载波 (UFMC) 是下一代无线通信系统最受推荐的波形设计之一。与 OFDM 相比，UFMC 提供高频谱效率、更好的子载波分离和更低的 PAPR。UFMC 的主要缺点是它具有显着的峰均功率比，类似于正交频分复用 (OFDM) 等多载波通信技术。通过提出信号加扰技术来降低UFMC中的峰值平均功率比（PAPR）来弥补研究空白​​。混洗蛙跳算法 (SFLA) 用作优化器，以在时间限制内验证最佳相位向量的整个搜索空间，以生成具有较少 PAPR 的最佳修改 UFMC 信号。OFDM、UFMC 和信号加扰 UFMC 之间进行类比，