A novel discrete cuckoo search algorithm‐based selective mapping technique to minimize the peak‐to‐average power ratio of universal filtered multicarrier signal,International Journal of Communication Systems

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A novel discrete cuckoo search algorithm‐based selective mapping technique to minimize the peak‐to‐average power ratio of universal filtered multicarrier signal
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-10-14 , DOI: 10.1002/dac.4640
Şakir Şimşir ₁ , Necmi Taşpınar ₂

Affiliation

The universal filtered multicarrier (UFMC), which has emerged as a product of the intensive studies carried out for developing alternative waveforms compatible with the oncoming fifth generation (5G) technology, has rapidly become one of the few waveforms considered seriously to be utilized in the next generation telecommunication systems due to its exclusive features. However, high peak‐to‐average power ratio (PAPR) problem specific to the multicarrier waveforms is waiting for researchers as the primary issue to be tackled in the UFMC waveform. To address this issue, an efficient PAPR reduction scheme called discrete cuckoo search algorithm‐based selective mapping (DCS‐SLM) is suggested in this paper. While creating the proposed DCS‐SLM scheme, in order to make the original CS algorithm suitable to be integrated into the conventional SLM method, a novel DCS algorithm was developed. Thanks to the related DCS algorithm, it becomes possible in the SLM technique to perform phase sequence optimization, which is a combinatorial optimization process that can be carried out in discrete space. It is clearly observed from the simulation results that the integration of our novel DCS algorithm to create a new PAPR reduction technique called DCS‐SLM leads to a remarkable performance improvement in the conventional SLM method due to the DCS‐based phase optimization through which the PAPR of UFMC signals are reduced to minimum levels.

中文翻译：

一种新颖的基于离散杜鹃搜索算法的选择性映射技术，可将通用滤波多载波信号的峰均功率比降至最低

通用滤波多载波（UFMC）是经过深入研究而开发出来的，以开发出与即将到来的第五代（5G）技术兼容的替代波形，现已迅速成为为数不多的被认真考虑使用的波形之一。下一代电信系统，由于其独特的功能。然而，多载波波形特有的高峰均功率比（PAPR）问题正等待研究人员作为UFMC波形中要解决的主要问题。为解决此问题，本文提出了一种有效的PAPR降低方案，称为基于离散杜鹃搜索算法的选择性映射（DCS-SLM）。在创建建议的DCS-SLM方案时，为了使原始CS算法适合集成到常规SLM方法中，开发了一种新颖的DCS算法。多亏了相关的DCS算法，SLM技术才有可能执行相序优化，这是可以在离散空间中执行的组合优化过程。从仿真结果中可以清楚地看到，由于基于DCS的相位优化（PAPR通过这种优化），将我们新颖的DCS算法集成以创建称为DCS‐SLM的新的PAPR降低技术，可以显着改善传统SLM方法的性能。 UFMC信号的数量减少到最低水平。

更新日期：2020-11-09

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