In drone-assisted mobile networks, Drone-mounted Base Stations (DBSs) are responsively and flexibly deployed over any Places of Interest (PoI), such as sporadic hotspots and disaster-struck areas, where the existing mobile network infrastructure is unable to provide wireless coverage. In this paper, a DBS is an aerial base station to relay traffic between a nearby Macro Base Station (MBS) and the users. In addition, Free Space Optics (FSO) is applied as the backhauling solution to significantly increase the capacity of the backhaul link between an MBS and a DBS. Most of the existing DBS placement solutions assume the FSO-based backhaul link provides sufficient link capacity, which may not be true, especially when a DBS is placed far away from an MBS (e.g., > 10 km in disaster-struck areas) or in a bad weather condition. In this paper, we formulate a problem to jointly optimize bandwidth allocation and DBS placement by considering the FSO-based backhaul link capacity constraint. A Backhaul awaRe bandwidth allOcAtion and DBS placement (BROAD) algorithm is designed to efficiently solve the problem, and the performance of the algorithm is demonstrated via extensive simulations.
翻译:在无人机协助的移动网络中,无人机部署的无人机基地站(DBS)反应灵活地部署在任何感兴趣的地点(POI),如零星的热点和灾害爆发区,因为现有的移动网络基础设施无法提供无线覆盖。在本文中,DBS是一个空基站,用于在附近的大型基地站(MBS)和用户之间转发通信;此外,自由空间光学(FSO)作为回航解决方案应用,以大幅提高MBS和DBS之间的回航连接能力。现有的DBS安置解决方案大多假定基于FSO的回航连接能力,提供足够的连接能力,这也许不是真实的,特别是当DBS远离MS(例如灾难爆发区 > 10公里)或天气条件恶劣时,DBS是一个空基站。在考虑基于FSO的回航连接能力限制时,我们形成了一个共同优化带宽分配和DBS的定位的问题。一个基于FSO的回航的回路连接能力限制,基于DBS的后方带宽频带宽段所有操作和DBS的模拟算法都展示了高效操作。