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Security enhancement for NOMA-UAV networks

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Zhao, Nan, Li, Yanxin, Zhang, Shun, Chen, Yunfei, Lu, Weidang, Wang, Jingjing and Wang, Xianbin (2020) Security enhancement for NOMA-UAV networks. IEEE Transactions on Vehicular Technology, 69 (4). pp. 3994-4005. doi:10.1109/TVT.2020.2972617 ISSN 0018-9545.

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Official URL: http://dx.doi.org/10.1109/TVT.2020.2972617

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Abstract

Owing to its distinctive merits, non-orthogonal multiple access (NOMA) techniques have been utilized in unmanned aerial vehicle (UAV) enabled wireless base stations to provide effective coverage for terrestrial users. However, the security of NOMA-UAV systems remains a challenge due to the line-of-sight air-to-ground channels and higher transmission power of weaker users in NOMA. In this paper, we propose two schemes to guarantee the secure transmission in UAV-NOMA networks. When only one user requires secure transmission, we derive the hovering position for the UAV and the power allocation to meet rate threshold of the secure user while maximizing the sum rate of remaining users. This disrupts the eavesdropping towards the secure user effectively. When multiple users require secure transmission, we further take the advantage of beamforming via multiple antennas at the UAV to guarantee their secure transmission. Due to the non-convexity of this problem, we convert it into a convex one for an iterative solution by using the second order cone programming. Finally, simulation results are provided to show the effectiveness of the proposed scheme.

Item Type: Journal Article
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Wireless communication systems , Wireless communication systems -- Security measures, Mobile communication systems, Drone aircraft
Journal or Publication Title: IEEE Transactions on Vehicular Technology
Publisher: IEEE
ISSN: 0018-9545
Official Date: April 2020
Dates:
DateEvent
April 2020Published
10 February 2020Available
6 February 2020Accepted
Volume: 69
Number: 4
Page Range: pp. 3994-4005
DOI: 10.1109/TVT.2020.2972617
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): © 2020 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: 5 March 2020
Date of first compliant Open Access: 10 March 2020
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
1871065[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
61871455[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
61871348[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809

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