Trajectory Optimization for Multiple UAVs Acting as Wireless Relays
Trajectory Optimization for Multiple UAVs Acting as Wireless Relays
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DOI：
10.1109/iccw.2018.8403637
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发表时间：
2018-05
期刊：
影响因子：
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通讯作者：
Ahmad Alsharoa;Hakim Ghazzai;M. Yuksel;A. Kadri;A. Kamal
中科院分区：
文献类型：
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作者：
Ahmad Alsharoa;Hakim Ghazzai;M. Yuksel;A. Kadri;A. Kamal
提出了一种基于多移动无人机的无线中继选择方案，以支持地面用户的通信。目标是优化中继无人机的发射功率水平和轨迹，以最大限度地提高受无直接链路影响的地面用户的数据传输速率。假设每架无人机最初都有一个用于主要任务的预定义轨迹，我们建议在需要时修改它，并且能量和轨迹边界约束允许。我们建议使用一个迭代的两步解决方案来解决这个问题；首先，建立了混合整数线性规划（MILP）问题，以最优确定用户与无人机的关联关系和无人机对应的发射功率水平。第二步，提出了一种基于递归收缩再调整过程的高效无人机轨迹优化算法。与预定义的轨迹解决方案相比，所提出的方法在平均吞吐量方面具有优势。
This paper proposes a novel wireless relay selection scheme involving multiple mobile Unmanned Aerial Vehicles (UAVs) to support communicating ground users. The goal is to optimize the transmit power levels and trajectories of the relaying UAVs in order to maximize the data rate transmission of the ground users which are suffering from the absence of direct link. Assuming that each UAV is initially characterized by a predefined trajectory for a primary task, we propose to modify it whenever it is needed and the energy and trajectory boundaries constraints allow. We propose to solve this problem using an iterative two steps solution; first, a Mixed Integer Linear Programming (MILP) problem is formulated to optimally determine the users- UAVs associations and the UAVs' corresponding transmit power levels. In the second step, an efficient algorithm based on a recursive shrink-and-realign process is proposed to optimize the UAV trajectories. The performance of the proposed method shows advantages in terms of average throughput compared to the predefined trajectories solution.