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UAV swarm-enabled aerial CoMP : a physical layer security perspective
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Wang, Xuanxuan, Feng, Wei, Chen, Yunfei and Ge, Ning (2019) UAV swarm-enabled aerial CoMP : a physical layer security perspective. IEEE Access, 7 . pp. 120901-120916. doi:10.1109/ACCESS.2019.2936680 ISSN 2169-3536.
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Official URL: http://dx.doi.org/10.1109/ACCESS.2019.2936680
Abstract
Unlike aerial base station enabled by a single unmanned aerial vehicle (UAV), aerial coordinated multiple points (CoMP) can be enabled by a UAV swarm. In this case, the management of multiple UAVs is important. This paper considers the power allocation strategy for a UAV swarm-enabled aerial network to enhance the physical layer security of the downlink transmission, where an eavesdropper moves following the trajectory of the swarm for better eavesdropping. Unlike existing works, we use only the large-scale channel state information (CSI) and maximize the secrecy throughput in a whole-trajectory-oriented manner. The overall transmission energy constraint on each UAV and the total transmission duration for all the legitimate users are considered. The non-convexity of the formulated problem is solved by using max-min optimization with iteration. Both the transmission power of desired signals and artificial noise (AN) are derived iteratively. Simulation results are presented to validate the effectiveness of our proposed power allocation algorithm and to show the advantage of aerial CoMP by using only the large-scale CSI.
Item Type: | Journal Article | ||||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software 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 , Multiagent systems -- Control, Wireless communication systems -- Security measures, Computer networks -- Security measures | ||||||
Journal or Publication Title: | IEEE Access | ||||||
Publisher: | IEEE | ||||||
ISSN: | 2169-3536 | ||||||
Official Date: | 22 August 2019 | ||||||
Dates: |
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Volume: | 7 | ||||||
Page Range: | pp. 120901-120916 | ||||||
DOI: | 10.1109/ACCESS.2019.2936680 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 12 September 2019 | ||||||
Date of first compliant Open Access: | 12 September 2019 |
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