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UAV-assisted time-efficient data collection via uplink NOMA
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Wang, Wei, Zhao, Nan, Chen, Li, Liu, Xin, Chen, Yunfei and Niyato, Dusit (2021) UAV-assisted time-efficient data collection via uplink NOMA. IEEE Transactions on Communications, 69 (11). pp. 7851-7863. doi:10.1109/TCOMM.2021.3106134 ISSN 0090-6778.
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WRAP-UAV-assisted-time-efficient-data-collection-via-uplink-NOMA-Chen-2021.pdf - Accepted Version - Requires a PDF viewer. Download (9Mb) | Preview |
Official URL: http://doi.org/10.1109/TCOMM.2021.3106134
Abstract
Due to the mobility and line-of-sight conditions, unmanned aerial vehicle (UAV) is deemed as a promising solution to sensor data collection. On the other hand, it is vital to guarantee the timeliness of information for UAV-assisted data collection. In this paper, we propose a time-efficient data collection scheme, in which multiple ground devices upload their data to the UAV via uplink non-orthogonal multiple access (NOMA). The total flight time of the UAV is equally divided into N time slots. The duration of each time slot is minimized by jointly optimizing the straight-line trajectory, device scheduling, and transmit power. To solve this mixed integer non-convex optimization problem, we decompose it into two steps. In the first step, we study the device scheduling strategy based on the UAV trajectory and the channel gains between the UAV and ground devices, through which the original problem can be greatly simplified. In the second step, the duration of each time slot is minimized by optimizing the transmit power and the UAV trajectory. An iterative algorithm based on alternating optimization is proposed, where each subproblem can be alternatively solved by applying successive convex approximation with the device scheduling updated at the end of each iteration. Numerical results are presented to evaluate the effectiveness of the proposed scheme.
Item Type: | Journal Article | ||||||||||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TL Motor vehicles. Aeronautics. Astronautics |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||||||
Library of Congress Subject Headings (LCSH): | Drone aircraft , Wireless communication systems, Line-of-sight radio links , Quality of service (Computer networks) , Drone aircraft -- Control systems, Drone aircraft -- Computer networks | ||||||||||||
Journal or Publication Title: | IEEE Transactions on Communications | ||||||||||||
Publisher: | IEEE | ||||||||||||
ISSN: | 0090-6778 | ||||||||||||
Official Date: | November 2021 | ||||||||||||
Dates: |
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Volume: | 69 | ||||||||||||
Number: | 11 | ||||||||||||
Page Range: | pp. 7851-7863 | ||||||||||||
DOI: | 10.1109/TCOMM.2021.3106134 | ||||||||||||
Status: | Peer Reviewed | ||||||||||||
Publication Status: | Published | ||||||||||||
Reuse Statement (publisher, data, author rights): | © 2021 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: | 17 August 2021 | ||||||||||||
Date of first compliant Open Access: | 18 August 2021 | ||||||||||||
RIOXX Funder/Project Grant: |
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