Inherent multicarrier transmission mechanism of the universal filtered multicarrier (UFMC) waveform engenders the problem of high peak-to-average power ratio (PAPR). Since it is impossible for a nonlinear high power amplifier (HPA) to execute a distortionless amplification unless the PAPR of transmission signal is below an acceptable level, eliminating the aforementioned PAPR drawback in UFMC waveform is so critical for smooth communication. With this in mind, we developed a new selective mapping (SLM) scheme based on discrete forest optimization algorithm (DFOA) for the UFMC waveform. The related scheme was created by embedding the DFOA into the conventional SLM with the intention of optimizing the values of phase factors by which the phase rotation process is carried out in frequency domain to reduce the PAPR of eventual time domain signal attained from the SLM output. It is confirmed via the simulations that, remarkable PAPR improvements are achieved through the DFOA-SLM scheme in the UFMC signal thanks to the DFOA-supported search for the optimal sequence of phase factors instead of classical random search strategy inherent in the conventional SLM method.

通用滤波多载波（UFMC）波形的固有多载波传输机制引发了高峰均功率比（PAPR）的问题。由于除非传输信号的PAPR低于可接受的水平，否则非线性高功率放大器（HPA）不可能执行无失真放大，因此消除UFMC波形中的上述PAPR缺陷对于平滑通信至关重要。考虑到这一点，我们针对UFMC波形开发了一种基于离散森林优化算法（DFOA）的新的选择性映射（SLM）方案。通过将DFOA嵌入到常规SLM中来创建相关方案，目的是优化相位因子的值，通过该因子在频域中执行相位旋转过程，以减少从SLM输出获得的最终时域信号的PAPR。通过仿真证实，由于DFOA支持的搜索最佳相位因子序列，而不是传统SLM方法固有的经典随机搜索策略，通过UFMC信号中的DFOA-SLM方案可以显着提高PAPR。