Fair Downlink Communications for RIS-UAV Enabled Mobile Vehicles
Fair Downlink Communications for RIS-UAV Enabled Mobile Vehicles
复制标题
支持 RIS-UAV 的移动车辆的公平下行链路通信
DOI：
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复制
发表时间：
2022
影响因子：
6.3
通讯作者：
Victor C. M. Leung
中科院分区：
文献类型：
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作者：
Yingfeng Yu;Xin Liu;Victor C. M. Leung
这封信考虑了从基站 (BS) 到移动车辆 (MV) 的 6GHz 以下下行链路通信，其中可重构智能地面无人机 (RIS-UAV) 充当移动无源中继。为了实现通信公平，我们的目标是通过联合优化 RIS 无源波束成形、MV 调度、无人机轨迹和功率分配来最大化所有 MV 之间的最小吞吐量。所提出的问题是一个难以解决的混合整数非凸优化问题。因此，原始问题被分为三个子问题，联合无源波束形成和MV调度优化、功率分配优化和轨迹优化，可以通过逐次凸逼近（SCA）方法来求解。提出了三个子问题的交替迭代优化算法以获得次优解。数值结果表明，与其他基准相比，所提出的算法具有显着的吞吐量增益。
This letter considers the sub-6GHz downlink communications from base station (BS) to mobile vehicles (MVs), where reconfigurable intelligent surface enabled unmanned aerial vehicle (RIS-UAV) serves as a mobile passive relay. To achieve communication fairness, we aim to maximize the minimum throughput among all the MVs via jointly optimizing RIS passive beamforming, MV scheduling, UAV trajectory and power allocation. The formulated problem is a mixed-integer non-convex optimization problem which is intractable to solve. Hence, the original problem is divided into three subproblems, joint passive beamforming and MV scheduling optimization, power allocation optimization, and trajectory optimization, which can be solved by the successive convex approximation (SCA) method. An alternating iterative optimization algorithm of the three subproblems is proposed to obtain the suboptimal solutions. Numerical results demonstrate the remarkable throughput gain of the proposed algorithm against other benchmarks.