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Optimal Placement of a UAV to Maximize the Lifetime of Wireless Devices

机译:无人机的最佳布置,可最大程度地延长无线设备的使用寿命

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Unmanned aerial vehicles (UAVs) can be used as aerial wireless base stations when cellular networks go down. Prior studies on UAV-based wireless coverage typically consider downlink scenarios from an aerial base station to ground users. In this paper, we consider an uplink scenario under disaster situations (such as earthquakes or floods), when cellular networks are down. We formulate the problem of optimal UAV placement, where the objective is to determine the placement of a single UAV such that the sum of time durations of uplink transmissions is maximized. We prove that the constraint sets of problem can be represented by the intersection of half spheres and the region formed by this intersection is a convex set in terms of two variables. This proof enables us to transform our problem to an optimization problem with two variables. We also prove that the objective function of the transformed problem is a concave function under a restriction on the minimum altitude of the UAV and propose a gradient projection-based algorithm to find the optimal location of the UAV. We validate the analysis by simulations and demonstrate the effectiveness of the proposed algorithm under different cases.
机译:当蜂窝网络故障时,无人飞行器(UAV)可以用作空中无线基站。先前基于无人机的无线覆盖的研究通常考虑从空中基站到地面用户的下行链路情况。在本文中,我们考虑了在蜂窝网络出现故障的灾难情况下(例如地震或洪水)的上行链路情况。我们提出了最佳无人机布置的问题,其目的是确定单个无人机的布置,以使上行链路传输的持续时间之和最大。我们证明了问题的约束集可以用半球的交集表示,并且该交集形成的区域在两个变量方面都是凸集。该证明使我们能够将问题转化为具有两个变量的优化问题。我们还证明了变换问题的目标函数是在无人机最小高度限制下的凹函数,并提出了一种基于梯度投影的算法来寻找无人机的最佳位置。我们通过仿真验证了分析结果,并证明了所提出算法在不同情况下的有效性。

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