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Energy-Efficient Deployment of Multiple UAVs Using Ellipse Clustering to Establish Base Stations

机译:使用椭圆聚类来建立基站的节能部署多个无人机

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摘要

The demand for future wireless communication systems is being satisfied for various circumstances through unmanned aerial vehicles (UAVs), which act as flying base stations (BSs). In this letter, we propose an ellipse clustering algorithm that maximizes the user coverage probability of UAV-BSs and avoids inter-cell interference with minimal transmit power. We obtain the coverage of each UAV by adjusting its antenna half-power beamwidth, orientation, and 3D location by minimizing the path loss of the cell-edge user. Simulation results confirm that the proposed algorithm achieves high system throughput and coverage probability with lower transmit power compared to conventional algorithms.
机译:通过无人驾驶飞行器(无人机),对未来无线通信系统的需求在各种情况下,其充当飞行基站(BSS)。在这封信中,我们提出了一种椭圆聚类算法,可以最大化UAV-BSS的用户覆盖概率,并避免与最小发射功率的小区间干扰。通过最小化单元边缘用户的路径损耗,通过调整其天线半功率波浪宽度,方向和3D位置来获得每个UAV的覆盖范围。仿真结果证实,与传统算法相比,该算法通过较低的发射功率实现了高系统吞吐量和覆盖概率。

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