基于无线光通信的非正交多址技术研究

摘要：将非正交多址接入（NOMA）技术应用于无线光通信系统，可以提高系统容量和频谱效率。首先阐述了基于无线光通信（OWC）的非正交多址技术的基本原理和系统结构，并综述了功率分配、用户分组、波束控制等优化技术的研究进展。之后，展示了该项技术与无人机（UAV）、智能反射面（IRS）、混合光/射频（RF）等新兴技术的融合，这些融合技术可以使能更多的通信场景和需求。最后，通过使用强化学习来优化一种新型无人机辅助无线光通信非正交多址方案，并展示了该方案在新型系统中综合性能提升的效果。

关键词：OWC；NOMA；功率域NOMA；深度强化学习

Abstract: Applying non-orthogonal multiple access (NOMA) technology to optical wireless communication (OWC) systems can improve system capacity and spectral efficiency. The basic principle and system structure of OWC-NOMA are first presented, and the related research progress including power allocation, user grouping, beam control, and other optimization techniques is summarized. Then, the integration of OWC-NOMA with emerging technologies such as unmanned aerial vehicles (UAV), intelligent reflecting surface (IRS), and hybrid optical/radio frequency (RF) are introduced, which is capable of facilitating more communication scenarios and requirements. Finally, the overall performance improvement of the system by applying reinforcement learning on a novel UAV-assisted OWC-NOMA scheme is demonstrated.

Keywords: optical wireless communication; non-orthogonal multiple access; power domain NOMA; deep reinforcement learning