Kumar Arun, Rajagopal Karthikeyan, Alruwais Nuha, Alshahrani Haya Mesfer, Mahgoub Hany, Othman Kamal M
Department of Electronics and Communication Engineering, New Horizon College of Engineering, Bengaluru, India.
Centre for Nonlinear Systems, Chennai Institute of Technology, Chennai, 600069, India.
Heliyon. 2023 Oct 14;9(10):e20901. doi: 10.1016/j.heliyon.2023.e20901. eCollection 2023 Oct.
In this article, we focus on optimising the SLM-PTS-CT (selective mapping, partial transmission sequence, circular transformation) hybrid method for optical non-orthogonal multiple access (O-NOMA) waveforms. The goal is to enhance the spectrum performance and practicality of O-NOMA systems while mitigating the PAPR issue through a hybrid approach. The SLM-PTS-CT hybrid method is applicable to O-NOMA waveforms, providing effective PAPR reduction. By dividing the data sequence into sub-blocks, applying phase factors, and rotating the phase of the subcarriers in such a way that the peaks of the signal are distributed more uniformly, the proposed SLM-PTS-CT achieves an optimal PAPR reduction while maintaining the benefits of O-NOMA. The efficiency of the proposed method is analysed by estimating the performance of several parameters, such as bit error rate (BER), PAPR, and power spectral density (PSD), by increasing the number of sub-blocks (S) and phase factor (P). Further, the proposed SLM-PTS-CT is compared with the conventional SLM-PTS, SLM, and PTS. The simulation results demonstrate that the proposed approach efficiently improves spectral efficiency, preserves BER performance, and reduces PAPR as compared with conventional methods.
在本文中，我们专注于优化用于光非正交多址接入（O-NOMA）波形的SLM-PTS-CT（选择性映射、部分传输序列、循环变换）混合方法。目标是通过混合方法提高O-NOMA系统的频谱性能和实用性，同时减轻峰均功率比（PAPR）问题。SLM-PTS-CT混合方法适用于O-NOMA波形，能有效降低PAPR。通过将数据序列划分为子块、应用相位因子以及以信号峰值更均匀分布的方式旋转子载波的相位，所提出的SLM-PTS-CT在保持O-NOMA优势的同时实现了最佳的PAPR降低。通过增加子块数量（S）和相位因子（P）来估计误码率（BER）、PAPR和功率谱密度（PSD）等几个参数的性能，分析了所提方法的效率。此外，将所提出的SLM-PTS-CT与传统的SLM-PTS、SLM和PTS进行了比较。仿真结果表明，与传统方法相比，所提方法有效地提高了频谱效率，保持了BER性能，并降低了PAPR。
