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3D Drone Base Station Placement and Resource Allocation With FSO-Based Backhaul in Hotspots

机译:热点中基于FSO的回程进行3D无人机基站的放置和资源分配

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摘要

Deploying a Drone Base Station (DBS) over a hotspot area is a promising solution to improve the user Quality of Service (QoS) by helping the Macro Base Station (MBS) transmit traffic to the users. Essentially, the DBS, which works as a relay node between the users and the MBS, can increase the users' data rates by virtue of more likely short-distance Line of Sight (LoS) communication links. Furthermore, deploying DBS is more cost-effective and flexible as compared to deploying small cells. The DBS can employ Free Space Optical (FSO) links for backhauling between the DBS and the MBS. In this paper, we study the 3D deployment and resource allocation of a DBS in a given hotspot area with the objective of maximizing the throughput in the access link under the constraint of user QoS, the capacity of the backhaul link, and total available bandwidth and power. To solve the problem, we first decompose the primal problem into two subproblems, i.e., the 3D DBS placement problem and the resource allocation problem. Second, we propose a cyclic iterative algorithm to solve the two sub-problems separately and use the output of one as the input of the other. The performance of the algorithm is demonstrated via extensive simulations.
机译:通过帮助宏基站(MBS)向用户传输流量,在热点区域上部署无人机基站(DBS)是提高用户服务质量(QoS)的有希望的解决方案。本质上,DBS充当用户与MBS之间的中继节点,它可以借助更可能的短距离视线(LoS)通信链路来提高用户的数据速率。此外,与部署小型单元相比,部署DBS具有更高的成本效益和灵活性。 DBS可以使用自由空间光学(FSO)链路在DBS和MBS之间进行回程。在本文中,我们研究了给定热点区域中DBS的3D部署和资源分配,目的是在用户QoS,回程链路的容量以及总可用带宽和最大带宽的约束下最大化访问链路中的吞吐量。功率。为了解决该问题,我们首先将原始问题分解为两个子问题,即3D DBS放置问题和资源分配问题。其次,我们提出了一种循环迭代算法,分别解决这两个子问题,并将其中一个的输出用作另一个的输入。通过广泛的仿真证明了该算法的性能。

著录项

  • 来源
    《IEEE Transactions on Vehicular Technology》 |2020年第3期|3322-3329|共8页
  • 作者

  • 作者单位

    New Jersey Inst Technol Dept Elect & Comp Engn Adv Networking Lab Newark NJ 07102 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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