Though visible light communication (VLC) is a significant supplement to current communication technologies, disadvantages such as the sensitivity to obstacles limit its development and commercialization. As a revolutionizing technology, intelligent reflecting surface (IRS) offers an ability to reconfigure the wireless environment dynamically and passively, which is considered beneficial to improve the performance of VLC. This paper devotes to investigating the effect of VLC IRS and putting forward a joint resource management method for an instantaneous IRS-aided VLC system. To this end, the line-of-sight (LoS) and non-LoS channel gains are first discussed under the point source assumption, after which the system model is established and the optimization problem is formulated. Then, the frozen variable algorithm and minorization-maximization algorithm are proposed to iteratively maximize the overall spectral efficiency (SE), and detailed discussions on the weak/severe interference cases and computational complexity analysis are carried out. Moreover, numerical results are provided to show the improvement of SE and the effects of the proposed algorithms, which offers beneficial insights on joint resource management of IRS-aided VLC.

中文翻译：

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智能反射面可见光通信联合资源管理


尽管可见光通信（VLC）是对当前通信技术的重要补充，但对障碍物敏感等缺点限制了其发展和商业化。作为一项革命性技术，智能反射面（IRS）提供了动态、被动地重新配置无线环境的能力，这被认为有利于提高VLC的性能。本文致力于研究VLC IRS的效果，并提出一种瞬时IRS辅助VLC系统的联合资源管理方法。为此，首先在点源假设下讨论视距（LoS）和非视距信道增益，然后建立系统模型并制定优化问题。然后，提出了冻结变量算法和最小化最大化算法来迭代最大化总体频谱效率（SE），并对弱/严重干扰情况和计算复杂度分析进行了详细讨论。此外，数值结果显示了 SE 的改进和所提出算法的效果，这为 IRS 辅助的 VLC 的联合资源管理提供了有益的见解。