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UAV-Assisted Emergency Networks in Disasters

Zhao, N; Lu, W; Sheng, M; Chen, Y; Tang, J; Yu, FR; Wong, K-K; (2019) UAV-Assisted Emergency Networks in Disasters. IEEE Wireless Communications , 26 (1) pp. 45-51. 10.1109/MWC.2018.1800160. Green open access

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Reliable and flexible emergency communication is a key challenge for search and rescue in the event of disasters, especially for the case when base stations are no longer functioning. Unmanned aerial vehicle (UAV)-assisted networking is emerging as a promising method to establish emergency networks. In this article, a unified framework for a UAV-assisted emergency network is established in disasters. First, the trajectory and scheduling of UAVs are jointly optimized to provide wireless service to ground devices with surviving BSs. Then the transceiver design of UAV and establishment of multihop ground device-to-device communication are studied to extend the wireless coverage of UAV. In addition, multihop UAV relaying is added to realize information exchange between the disaster areas and outside through optimizing the hovering positions of UAVs. Simulation results are presented to show the effectiveness of these three schemes. Finally, open research issues and challenges are discussed.

Type: Article
Title: UAV-Assisted Emergency Networks in Disasters
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/MWC.2018.1800160
Publisher version: https://doi.org/10.1109/MWC.2018.1800160
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Trajectory, Wireless communication, Unmanned aerial vehicles, Device-to-device communication, Reliability, Optimization, Quality of service
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10070723
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