The peak-to-average power ratio (PAPR) is one of the most serious issues to be dwelled on, carefully, in wireless communication. It is not possible to take the advantage of multicarrier transmission strategy without handling the problem of high PAPR arising from the usage of multiple subcarriers for generating the time domain transmission signals. As being a kind of multicarrier waveform, universal filtered multicarrier (UFMC) which is developed a short time ago as a contender waveform for the fifth generation (5G) telecommunication systems, suffers from the high PAPR values of its transmission signals as well. By considering the related issue, we developed a new selective mapping (SLM) technique based on migrating birds optimization (MBO) algorithm to offer an efficient solution to the problem of high PAPR in the UFMC waveform. In the proposed MBO-based SLM (MBO–SLM) scheme, in order to perform an effective phase optimization in discrete space, cyclic bit flipping mechanism is integrated to the MBO algorithm. According to the simulation results, with our proposed MBO–SLM technique, significant improvement is achieved in the PAPR reduction performance of the conventional SLM method thanks to the MBO-based phase optimization process supported by the cyclic bit flipping mechanism.

峰均功率比（PAPR）是无线通信中需要认真研究的最严重的问题之一。如果不处理由于使用多个子载波来生成时域传输信号而引起的高PAPR的问题，就无法利用多载波传输策略的优势。作为一种多载波波形，不久前作为第五代（5G）电信系统的竞争者波形而开发的通用滤波多载波（UFMC）也遭受其传输信号的高PAPR值的困扰。通过考虑相关问题，我们开发了一种基于迁移鸟优化（MBO）算法的新的选择性映射（SLM）技术，为UFMC波形中的高PAPR问题提供了有效的解决方案。在提出的基于MBO的SLM（MBO–SLM）方案中，为了在离散空间中执行有效的相位优化，将循环位翻转机制集成到MBO算法中。根据仿真结果，借助我们提出的MBO-SLM技术，由于循环位翻转机制支持基于MBO的相位优化过程，因此可以显着改善传统SLM方法的PAPR降低性能。