Secure UAV-to-ground MIMO communications: Joint transceiver and location optimization
Secure UAV-to-ground MIMO communications: Joint transceiver and location optimization
Unmanned aerial vehicles (UAVs) are foreseen to constitute promising airborne communication devices as a benefit of their superior channel quality. But UAV-to-ground (U2G) communications are vulnerable to eavesdropping. Hence, we conceive a sophisticated physical layer security solution for improving the secrecy rate of multi-antenna aided U2G systems. Explicitly, the secrecy rate of the U2G MIMO wiretap channels is derived by using random matrix theory. The resultant explicit expression is then applied in the joint optimization of the MIMO transceiver and the UAV location relying on an alternating optimization technique. Our numerical results show that the
joint transceiver and location optimization conceived facilitates secure communications even in the challenging scenario, where the legitimate channel of confidential information is inferior to the eavesdropping channel.
Autonomous aerial vehicles, Eavesdropping, MIMO, Optimization, Rician channels, Trajectory, Transceivers, Transmitting antennas, UAV, alternating optimization, physical layer security, random matrix theory
11661-11676
Zheng, Zhong
b731535b-fa91-4c7f-bd6a-771303ce2dc0
Wang, Xinyao
6535637b-0e52-46ef-b4fd-981820f3ebe8
Fei, Zesong
1523e506-ebec-420d-b491-da48dff3fb2c
Wu, Qingqing
2ab2d88f-a892-4609-95f9-90c2054b9478
Li, Bin
e64b9ae4-a95e-482a-ba69-08232246bb14
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
1 November 2022
Zheng, Zhong
b731535b-fa91-4c7f-bd6a-771303ce2dc0
Wang, Xinyao
6535637b-0e52-46ef-b4fd-981820f3ebe8
Fei, Zesong
1523e506-ebec-420d-b491-da48dff3fb2c
Wu, Qingqing
2ab2d88f-a892-4609-95f9-90c2054b9478
Li, Bin
e64b9ae4-a95e-482a-ba69-08232246bb14
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zheng, Zhong, Wang, Xinyao, Fei, Zesong, Wu, Qingqing, Li, Bin and Hanzo, Lajos
(2022)
Secure UAV-to-ground MIMO communications: Joint transceiver and location optimization.
IEEE Transactions on Vehicular Technology, 71 (11), .
(doi:10.1109/TVT.2022.3190272).
Abstract
Unmanned aerial vehicles (UAVs) are foreseen to constitute promising airborne communication devices as a benefit of their superior channel quality. But UAV-to-ground (U2G) communications are vulnerable to eavesdropping. Hence, we conceive a sophisticated physical layer security solution for improving the secrecy rate of multi-antenna aided U2G systems. Explicitly, the secrecy rate of the U2G MIMO wiretap channels is derived by using random matrix theory. The resultant explicit expression is then applied in the joint optimization of the MIMO transceiver and the UAV location relying on an alternating optimization technique. Our numerical results show that the
joint transceiver and location optimization conceived facilitates secure communications even in the challenging scenario, where the legitimate channel of confidential information is inferior to the eavesdropping channel.
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More information
Accepted/In Press date: 8 July 2022
e-pub ahead of print date: 20 July 2022
Published date: 1 November 2022
Additional Information:
Funding Information:
The work of Lajos Hanzo was supported in part by the Engineering and Physical Sciences Research Council Projects under Grants EP/P034284/1 and EP/P003990/1 (COALESCE) and in part by the European Research Council’s Advanced Fellow Grant QuantCom under Grant 789028
Publisher Copyright:
© 1967-2012 IEEE.
Keywords:
Autonomous aerial vehicles, Eavesdropping, MIMO, Optimization, Rician channels, Trajectory, Transceivers, Transmitting antennas, UAV, alternating optimization, physical layer security, random matrix theory
Identifiers
Local EPrints ID: 468361
URI: http://eprints.soton.ac.uk/id/eprint/468361
ISSN: 0018-9545
PURE UUID: 83524a8b-fd88-4610-8cfd-c08e6d64fe9d
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Date deposited: 11 Aug 2022 16:38
Last modified: 18 Mar 2024 02:36
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Contributors
Author:
Zhong Zheng
Author:
Xinyao Wang
Author:
Zesong Fei
Author:
Qingqing Wu
Author:
Bin Li
Author:
Lajos Hanzo
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