4.7 Article

An Adaptive UAV Deployment Scheme for Emergency Networking

期刊

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
卷 21, 期 4, 页码 2383-2398

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2021.3111991

关键词

Unmanned aerial vehicles; Wireless communication; Energy consumption; Data communication; Base stations; Buildings; Uplink; Unmanned aerial vehicle (UAV); LoS; NLoS; coverage; optimal transmit power; adaptive UAV deployment

资金

  1. Key Projects of Liaoning Provincial Department of Education Science Foundation [L201702]
  2. National Natural Science Foundation of China [61701322]
  3. Young and Middle-Aged Science and Technology Innovation Talent Support Plan of Shenyang [RC190026]
  4. Natural Science Foundation of Liaoning Province [2020-MS-237]
  5. Liaoning Provincial Department of Education Science Foundation [JYT19052]

向作者/读者索取更多资源

In this paper, an adaptive UAV deployment scheme is proposed to solve the coverage problem of UAV-aided GNs communication in areas affected by natural disasters. The scheme optimizes the UAV's location, reduces communication energy consumption, and ensures coverage effectiveness through ground information collection. Extensive simulations demonstrate the superiority of the proposed scheme.
In the areas after natural disaster strikes, the ground communication network can be failed, due to the damage of the communication infrastructure. However, during or after the natural disasters such as earthquakes or tsunamis, ground vehicles may not enter the affected areas easily to set up mobile base stations. Unmanned Aerial Vehicles (UAVs) can be an alternate to provide emergency coverage for ground nodes (GNs). Therefore, how to determine the best location for UAV to achieve the maximum coverage is a key issue. In this paper, an adaptive UAV deployment scheme is proposed to solve the coverage problem of UAV- aided GNs communication. The objective is to optimize the location of the UAV to cover as many GNs as possible and reduce communication energy consumption. We construct a unique analysis method assisted by the collected ground information to solve this problem. First, we propose an information collection method based on the communication probability of Line-of-Sight (LoS) to guarantee the integrity of ground information acquisition. Then, based on the results of the information collection, a virtual obstacle model is built around each GN. Meanwhile, the UAV's coverage problem is decomposed from the horizontal and vertical dimensions to simplify the difficulty of solving the problem. Finally, the best location of the UAV and the optimal transmission power of GNs can be obtained through the iterative methods and the power control, respectively. The extensive simulation results demonstrate that the proposed deployment scheme outperforms its counterparts.

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