Placing Multiple Drone Base Stations in Hotspots

Shuai Zhang, Xiang Sun, N. Ansari
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引用次数: 15

Abstract

Users in a hotspot area may experience low Quality of Service (QoS) owing to the high traffic demands and limited bandwidth resources in downloading traffic from the nearby Macro Base Station (MBS). Deploying Drone Base Stations (DBSs) over a hotspot area to help the MBS transmit traffic to the users in the hotspot area is an efficient way to improve the user QoS. Essentially, DBSs are considered as relay nodes, which are deployed close to users, to transmit traffic to users with high data rates. This paper discusses the multiple DBSs 3D deployment strategy in a given hotspot area, i.e., determining the latitude, longitude, and altitude of each deployed DBS such that the number of the deployed DBSs is minimized while QoS requirements (in terms of pathloss requirements) of all the users in the hotspot area are satisfied. The strategy is formulated as an optimization problem, and a novel heuristic algorithm, i.e., Adaptive MUltiple drone base Station placEment (AMUSE), is designed to efficiently solve the problem. The performance of AMUSE is demonstrated via extensive simulations.
在热点地区放置多个无人机基站
热点区域的用户在从附近的MBS (Macro Base Station)下载流量时,由于流量需求大,带宽资源有限,可能会导致QoS (Quality Service)较低。在热点区域部署无人机基站(Drone Base Stations, DBSs),帮助MBS向热点区域内的用户传输业务,是提高用户服务质量的有效途径。从本质上讲,DBSs被视为中继节点,部署在用户附近,以高数据速率向用户传输流量。本文讨论了在给定热点区域内的多个DBS 3D部署策略,即确定每个部署的DBS的经纬度和高度,从而使部署的DBS数量最少,同时满足热点区域内所有用户的QoS需求(从路径丢失需求来看)。该策略是一个优化问题,并设计了一种新的启发式算法,即自适应多无人机基站布局(AMUSE),以有效地解决该问题。通过大量的仿真验证了AMUSE的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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