论文标题
使用椭圆聚类来建立基站的节能部署多个无人机
Energy-efficient Deployment of Multiple UAVs Using Ellipse Clustering to Establish Base Stations
论文作者
论文摘要
通过无人驾驶汽车（UAV），对未来的无线通信系统的需求得到满足，这些飞机（UAV）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，该算法最大化了无人机的用户覆盖概率，并避免使用最小传输功率的间隔干扰。我们通过调整其天线半功率梁，方向和3D位置来获得每个无人机的覆盖范围，通过最大程度地减少细胞边缘用户的路径损失。模拟结果证实，与常规算法相比，所提出的算法以较低的发射功率实现了高系统吞吐量和覆盖率概率。
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.
