Backhaul-Aware Drone Base Station Placement and Resource Management for FSO-Based Drone-Assisted Mobile Networks
Backhaul-Aware Drone Base Station Placement and Resource Management for FSO-Based Drone-Assisted Mobile Networks
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DOI：
10.1109/tnse.2022.3233004
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发表时间：
2021-12
影响因子：
6.6
通讯作者：
Liang Yu;Xiang Sun;Sihua Shao;Yougan Chen;Rana Albelaihi
中科院分区：
文献类型：
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作者：
Liang Yu;Xiang Sun;Sihua Shao;Yougan Chen;Rana Albelaihi
在无人机辅助的移动网络中，无人机安装的基站（DBS）可以响应灵活地部署在任何感兴趣的地方（PoI），例如零星热点和受灾地区，而现有的移动网络基础设施无法提供无线覆盖。在本文中，DBS 是一个空中基站，用于在附近的宏基站 (MBS) 和用户之间中继流量。此外，自由空间光学（FSO）被用作回程解决方案，以显着增加MBS和DBS之间的回程链路的容量。大多数现有的 DBS 放置解决方案都假设基于 FSO 的回程链路提供了足够的链路容量，但这可能不是真的，特别是当 DBS 放置在远离 MBS 的地方（例如，在受灾地区，距离 > 10 公里）或在恶劣的天气条件下。在本文中，我们通过考虑基于 FSO 的回程链路容量约束，提出了一个联合优化带宽分配和 DBS 放置的问题。回程感知带宽分配和 DBS 布局 (BROAD) 算法旨在有效解决该问题，并且通过大量模拟证明了该算法的性能。
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.