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UAV-assisted emergency networks in disasters
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Zhao, Nan, Lu, Weidang, Sheng, Min, Chen, Yunfei, Tang, Jie, Yu, F. Richard and Wong, Kai-Kit (2019) UAV-assisted emergency networks in disasters. IEEE Wireless Communications, 26 (1). pp. 45-51. doi:10.1109/MWC.2018.1800160 ISSN 1536-1276.
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Official URL: https://doi.org/10.1109/MWC.2018.1800160
Abstract
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 (BSs) are no longer functioning. Unmanned aerial vehicle (UAV) assisted network is emerging as a promising method to establish emergency networks. In this article, a unified framework of UAV-assisted emergency network is established in disasters. First, the trajectory and scheduling of UAV are jointly optimized to provide wireless service to ground devices with surviving BSs. Then, the transceiver design of UAV and establishment of multi-hop ground device-to- device (D2D) communication are studied to extend the wireless coverage of UAV. In addition, multi-hop 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.
Item Type: | Journal Article | |||||||||||||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | |||||||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | |||||||||||||||
Library of Congress Subject Headings (LCSH): | Emergency communication systems, Drone aircraft, Wireless communication systems, Routing (Computer network management), Trajectory optimization, Radio -- Transmitter-receivers -- Design and construction | |||||||||||||||
Journal or Publication Title: | IEEE Wireless Communications | |||||||||||||||
Publisher: | IEEE | |||||||||||||||
ISSN: | 1536-1276 | |||||||||||||||
Official Date: | 13 February 2019 | |||||||||||||||
Dates: |
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Volume: | 26 | |||||||||||||||
Number: | 1 | |||||||||||||||
Page Range: | pp. 45-51 | |||||||||||||||
DOI: | 10.1109/MWC.2018.1800160 | |||||||||||||||
Status: | Peer Reviewed | |||||||||||||||
Publication Status: | Published | |||||||||||||||
Reuse Statement (publisher, data, author rights): | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |||||||||||||||
Access rights to Published version: | Restricted or Subscription Access | |||||||||||||||
Date of first compliant deposit: | 12 October 2018 | |||||||||||||||
Date of first compliant Open Access: | 15 October 2018 | |||||||||||||||
RIOXX Funder/Project Grant: |
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