Presently, the single-carrier frequency division multiplexing (SCFDM)-based visible light communication (VLC) system is extensively implemented for secure and high-speed data transmission. However, the effect of additive white Gaussian noise in VLC with white light-emitting diode is high, due to a high peak to average power ratio (PAPR). To address this difficulty in 5G networks, two objectives were carried out in this research article. Initially, selective mapping (SLM) scheme was applied for PAPR reduction, because it considerably selects the effective phase rotation factors that help in the reduction of system complexity. Besides, binary crow search algorithm was used for sub-block partition optimisation in SLM for enhancing the convergence speed of the proposed SCFDM-based VLC system. In the experimental investigation, the proposed SCFDM-based VLC system was analysed in terms of complementary cumulative distribution function, bit error rate and signal-to-noise ratio by varying the equalisation techniques for 5G networks.

中文翻译：

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使用二进制乌鸦搜索算法在面向5G网络的可见光通信中有效降低基于SCFDM的大规模MIMO系统中的PAPR

当前，基于单载波频分复用（SCFDM）的可见光通信（VLC）系统被广泛地实现以用于安全和高速的数据传输。但是，由于具有较高的峰均功率比（PAPR），因此在具有白色发光二极管的VLC中加性高斯白噪声的影响很高。为了解决5G网络中的这一难题，本文完成了两个目标。最初，选择性映射（SLM）方案被用于降低PAPR，因为它可以选择有助于降低系统复杂性的有效相位旋转因子。此外，将二进制乌鸦搜索算法用于SLM中的子块分区优化，以提高所提出的基于SCFDM的VLC系统的收敛速度。在实验研究中