论文标题
通过用户负载功能K-均值集群将无人机安装的移动基站放置
Placement of UAV-Mounted Mobile Base Station through User Load-Feature K-means Clustering
论文作者
论文摘要
蜂窝网络中的临时高流量请求是一个具有挑战性的问题。无人驾驶汽车的最新进展用于涵盖这类贩运。无人机安装的移动基站安置是实现高性能的具有挑战性的问题。已经提出了不同的方法；但是，在无人机放置中未考虑用户所需的流量。我们提出了一项新功能，以适用于K-均值聚类以找到最佳簇。用户所需的流量定义为新功能，将用户分配给无人机。我们的仿真结果表明，无人机可以更靠近交通流量使用者，以实现更高的性能。
Temporary high traffic requests in cellular networks is a challenging problem to address. Recent advances in Unmanned Aerial Vehicles applied to cover these types of traffics. UAV -Mounted Mobile Base Stations placement is a challenging problem to achieve high performance. Different approaches have been proposed; however, user required traffic is not considered in UAV placement. We propose a new feature to apply to K-means clustering to find the optimum clusters. User required traffic is defined as a new feature to assign users to the UAVs. Our simulation results show that UAVs could be placed closer to the high traffic users to achieve higher performance.
