面向物联网应急通信的功率感知3D无人机布局

A. Bahr, M. A. Mehaseb, Sami A. Doliel, S. El-Rabaie, F. A. Abd El-Samie
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引用次数: 2

摘要

无人驾驶飞行器(uav)用于快速和容易的部署,以在紧急情况下提供蜂窝覆盖。本文考虑将具有无线功能的无人机用作中继,在紧急通信情况下为物联网设备提供覆盖,然后将数据传输到最近的基站。采用粒子群优化(PSO)算法寻找无人机的有效三维布局。考虑到每个物联网设备的流量需求,制定优化问题,以最小化传输功率和降低停机概率为无人机的最佳3D布局。该算法的设计使地对空(G2A)链路和空对地(A2G)链路的功率最小化。数值结果表明,该算法以极低的复杂度显著降低了传输功率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power-Aware 3D UAV Placement for IoT Emergency Communications
The Unmanned Aerial Vehicles (UAVs) are used for rapid and easy deployment to provide cellular coverage in emergency cases. This paper considers a wireless-enabled UAV used as a relay to provide coverage for IoT devices in case of emergency communications, and then it transmits data to the nearest base station. Particle Swarm Optimization (PSO) algorithm is used to find an efficient 3D placement of the UAV. The optimization problem is formulated to minimize the transmitted power and reduce the outage probability for the optimum 3D placement of the UAV, taking into consideration the traffic requirements of each IoT device. The design of the proposed algorithm minimizes the power of both links: ground-to-air (G2A) link and air-to-ground (A2G) link. The numerical results are presented showing that the proposed algorithm significantly reduces the transmitted power with very low complexity.
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