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Drone Positioning for User Coverage Maximization

机译:无人机定位用户覆盖范围最大化

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Aerial base stations (BSs) based on unmanned aerial vehicles (UAVs) can provide rapid wireless services to users in areas without ground infrastructure. This paper aims to deploy multiple aerial BSs to cover a maximum number of ground users within a certain target area while avoiding inter-cell interference (ICI). Two techniques are proposed. The first method deploys multiple aerial BSs in a successive way and converts the non-convex constraints into various linear constraints which can be easily solved. The second method simultaneously deploys multiple aerial BSs by dividing the target area into K convex subareas with the help of K-means clustering. Simulation results show that both techniques achieve a performance gain compared to the benchmark circle packing theory (CPT).
机译:基于无人驾驶飞行器(UAV)的空中基站(BSS)可以向用户提供快速无线服务,在没有地面基础设施的区域。本文旨在部署多个空中BSS,以覆盖特定目标区域内的最大接地用户,同时避免细胞间干扰(ICI)。提出了两种技术。第一方法以连续的方式部署多个空中BSS,并将非凸起约束转换成可以容易解决的各种线性约束。在K-Means聚类的帮助下将目标区域划分为k凸蛛网,第二种方法同时部署多个空中BSS。仿真结果表明,与基准圈包装理论(CPT)相比,两种技术都实现了性能增益。

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