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A novel discrete elephant herding optimization-based PTS scheme to reduce the PAPR of universal filtered multicarrier signal
Engineering Science and Technology, an International Journal ( IF 5.7 ) Pub Date : 2021-03-27 , DOI: 10.1016/j.jestch.2021.03.001
Şakir Şimşir , Necmi Taşpınar

The recently proposed waveform called universal filtered multicarrier (UFMC) has already managed to get the attention of science world due to its superior features and it has been accepted as one of the foremost fifth generation (5G) waveform contenders. However, due to being a type of multicarrier waveform, the UFMC suffers from the problem of high peak-to-average power ratio (PAPR). In this paper, a new discrete elephant herding optimization-based partial transmit sequence (DEHO-PTS) scheme is suggested to reduce the PAPR of UFMC signals to minimum levels. Due to the fact that the optimization of phase rotation factors multiplied by the sub-blocks in the conventional partial transmit sequence (PTS) technique is a combinatorial optimization problem to be solved in discrete space, in order to integrate the elephant herding optimization (EHO) algorithm into the PTS scheme, we developed its discrete version (DEHO) in this paper. In the simulations, the capability of the suggested DEHO-PTS procedure to minimize the PAPR, suppress the out-of-band emission and decrease the bit error rate of the UFMC signal amplified via a nonlinear high power amplifier was analyzed. Simulation results clearly indicate that our proposed DEHO-PTS procedure can be a serious option for UFMC waveform to minimize the PAPR values of transmission signals due to its significant PAPR reduction, side lobe suppression and bit error rate performances with low computational complexity.



中文翻译:

一种新的基于离散大象群优化的 PTS 方案,用于降低通用滤波多载波信号的 PAPR

最近提出的称为通用滤波多载波 (UFMC) 的波形由于其卓越的特性已经成功地引起了科学界的关注,并且已被公认为最重要的第五代 (5G) 波形竞争者之一。然而,由于是一种多载波波形,UFMC 存在高峰均功率比 (PAPR) 的问题。在本文中,提出了一种新的基于离散大象群优化的部分传输序列 (DEHO-PTS) 方案,以将 UFMC 信号的 PAPR 降低到最低水平。由于传统部分发射序列(PTS)技术中相位旋转因子乘以子块的优化是一个在离散空间中需要解决的组合优化问题,为了将大象群优化(EHO)算法集成到 PTS 方案中,我们在本文中开发了它的离散版本(DEHO)。在模拟中,分析了建议的 DEHO-PTS 程序在最小化 PAPR、抑制带外发射和降低通过非线性高功率放大器放大的 UFMC 信号的误码率方面的能力。仿真结果清楚地表明,我们提出的 DEHO-PTS 程序可以成为 UFMC 波形的一个重要选择,以最小化传输信号的 PAPR 值,因为它具有显着的 PAPR 降低、旁瓣抑制和误码率性能,并且计算复杂度低。分析了抑制带外发射并降低通过非线性高功率放大器放大的 UFMC 信号的误码率。仿真结果清楚地表明,我们提出的 DEHO-PTS 程序可以成为 UFMC 波形的一个重要选择,以最小化传输信号的 PAPR 值,因为它具有显着的 PAPR 降低、旁瓣抑制和误码率性能,并且计算复杂度低。分析了抑制带外发射并降低通过非线性高功率放大器放大的 UFMC 信号的误码率。仿真结果清楚地表明,我们提出的 DEHO-PTS 程序可以成为 UFMC 波形的一个重要选择,以最小化传输信号的 PAPR 值,因为它具有显着的 PAPR 降低、旁瓣抑制和误码率性能,并且计算复杂度低。

更新日期:2021-03-27
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