In the emerging non-orthogonal multiple access-based unmanned aerial vehicle systems, it is of practical importance to maximize the number of users with satisfied quality-of-service experience by incorporating placement design, admission control, and power allocation. To overcome the combinatorial nature and non-convexity of the above problem, a low-complexity mechanism is proposed based on the penalty function method and the successive convex approximation, and it converges to a Karush–Kuhn–Tucker point of the original problem. Simulations are provided to show the necessity of conducting the above optimization and the efficiency of the proposed mechanism.

中文翻译：

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基于 NOMA 的无人机系统的联合布局设计、准入控制和功率分配

在新兴的基于非正交多址接入的无人机系统中，通过结合布局设计、准入控制和功率分配来最大化满足服务质量体验的用户数量具有现实意义。针对上述问题的组合性和非凸性，提出了一种基于惩罚函数法和逐次凸逼近的低复杂度机制，收敛到原问题的一个Karush-Kuhn-Tucker点。提供了模拟以显示进行上述优化的必要性和所提出机制的效率。