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Resource allocation and trajectory optimization for UAV-enabled multi-user covert communications

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Jiang, X., Yang, Z., Zhao, N., Chen, Yunfei, Ding, Z. and Wang, X. (2021) Resource allocation and trajectory optimization for UAV-enabled multi-user covert communications. IEEE Transactions on Vehicular Technologies, 70 (2). pp. 1989-1994. doi:10.1109/TVT.2021.3053936 ISSN 0018-9545.

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Official URL: https://doi.org/10.1109/TVT.2021.3053936

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Abstract

In this correspondence, covert air-to-ground communication is investigated to hide the wireless transmission from unmanned aerial vehicle (UAV). The warden's total detection error probability with limited observations is first analyzed. Considering the location uncertainty of the warden, a robust resource allocation and UAV trajectory optimization problem with worst-case covertness constraint is then formulated to maximize the average covert rate. To solve this optimization problem, we propose a block coordinate descent method based iterative algorithm to optimize the time slot allocation, power allocation and trajectory alternately. Numerical results demonstrate the effectiveness of the proposed algorithm in covert communication for UAVs.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Drone aircraft , Drone aircraft -- Control systems, Digital communications, Wireless communication systems, Aeronautics -- Communication systems, Trajectory optimization
Journal or Publication Title: IEEE Transactions on Vehicular Technologies
Publisher: IEEE
ISSN: 0018-9545
Official Date: February 2021
Dates:
DateEvent
February 2021Published
22 January 2021Available
20 January 2021Accepted
Volume: 70
Number: 2
Page Range: pp. 1989-1994
DOI: 10.1109/TVT.2021.3053936
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: 25 January 2021
Date of first compliant Open Access: 25 January 2021
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