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Trajectory Optimization for Multiple UAVs Acting as Wireless Relays

机译:多个无人机作为无线继电器的轨迹优化

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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.
机译:本文提出了一种新的无线中继选择方案,涉及多个移动无人驾驶飞行器(UAV)来支持通信地面用户。目标是优化中继无人机的发射功率电平和轨迹,以最大化患有直接链路的地面用户的数据速率传输。假设每个UAV最初是由预定义的轨迹为主任务的,我们建议在需要时修改它,并且能量和轨迹边界约束允许。我们建议使用迭代两个步骤解决方案来解决这个问题;首先,配制混合整数线性编程(MILP)问题以最佳地确定用户关联和UAVS的相应发射功率电平。在第二步中,提出了一种基于递归收缩和重新调整过程的有效算法来优化UAV轨迹。与预定义的轨迹解决方案相比,所提出的方法的性能显示了平均吞吐量的优点。

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