Efficient 3D placement of a UAV using particle swarm optimization

Hazim Shakhatreh, Abdallah Khreishah, A. Alsarhan, Issa M. Khalil, Ahmad H. Sawalmeh, Noor Shamsiah Othman
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引用次数: 87

Abstract

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 an Air-to-Ground path loss model, which assumes that the users are outdoor and they are located on a 2D plane. In this paper, we propose using a single UAV to provide wireless coverage for indoor users inside a high-rise building under disaster situations (such as earthquakes or floods), when cellular networks are down. We assume that the locations of indoor users are uniformly distributed in each floor and we propose a particle swarm optimization algorithm to find an efficient 3D placement of a UAV that minimizes the total transmit power required to cover the indoor users.
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基于粒子群优化的无人机高效三维布局
当蜂窝网络出现故障时,无人驾驶飞行器(uav)可以用作空中无线基站。先前对基于无人机的无线覆盖的研究通常考虑空对地路径损失模型,该模型假设用户在室外并且位于二维平面上。在本文中,我们建议在灾害情况下(如地震或洪水),当蜂窝网络关闭时,使用单个无人机为高层建筑内的室内用户提供无线覆盖。我们假设室内用户的位置均匀分布在每个楼层,我们提出了一个粒子群优化算法,以找到一个有效的无人机的三维布局,使覆盖室内用户所需的总发射功率最小。
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