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Adaptive optimal power allocation scheme based on intelligent user association for NOMA-VLC systems
Optical Switching and Networking ( IF 1.9 ) Pub Date : 2022-09-02 , DOI: 10.1016/j.osn.2022.100714
Qian Li , Tao Shang , Tang Tang

In this paper, the joint problem of user association and power allocation for non-orthogonal multiple access (NOMA)-visible light communication (VLC) systems is investigated. First, a novel intelligent user association (UA) method for multi-user NOMA-VLC is proposed to improve the multiplexing efficiency. Second, a new adaptive optimal power allocation scheme based on the UA method is presented and three corresponding mathematical optimization problems are established, aiming to optimize the system throughput while each user's illumination requirement, quality of service demand, eye safety, and transmission power limit are satisfied simultaneously. Third, for the error propagation at the NOMA receiver, the perfect and imperfect interference cancellations are considered in the established power allocation models. Finally, the numerical results demonstrate the superiority of the proposed scheme on the VLC network capacity under perfect and imperfect interference cancellation. Furthermore, it is also found that the proposed scheme could achieve higher system throughput by modifying users' field-of-views (FOVs).



中文翻译:

NOMA-VLC系统基于智能用户关联的自适应最优功率分配方案

在本文中,研究了非正交多址(NOMA)-可见光通信(VLC)系统的用户关联和功率分配的联合问题。首先,提出了一种用于多用户 NOMA-VLC 的新型智能用户关联 (UA) 方法,以提高复用效率。其次,提出了一种新的基于UA方法的自适应最优功率分配方案,并建立了三个相应的数学优化问题,旨在优化系统吞吐量,同时满足每个用户的光照需求、服务质量需求、人眼安全和发射功率限制。同时满足。第三,对于 NOMA 接收机的误差传播,在建立的功率分配模型中考虑了完美和不完美的干扰消除。最后,数值结果证明了所提方案在完美和不完美干扰消除下对VLC网络容量的优越性。此外,还发现所提出的方案可以通过修改用户的视野(FOV)来实现更高的系统吞吐量。

更新日期:2022-09-02
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