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Securing UAV Communications via Joint Trajectory and Power Control

IEEE Transactions on Wireless Communications · 2019 · Vol. 18(2) · pp. 1376–1389
Guangchi ZhangQingqing WuMiao CuiRui Zhang

Abstract

Unmanned aerial vehicle (UAV) communication is anticipated to be widely applied in the forthcoming fifth-generation wireless networks, due to its many advantages such as low cost, high mobility, and on-demand deployment. However, the broadcast and line-of-sight nature of air-to-ground wireless channels give rise to a new challenge on how to realize secure UAV communications with the destined nodes on the ground. This paper aims to tackle this challenge by applying the physical layer security technique. We consider both the downlink and uplink UAV communications with a ground node, namely, UAV-to-ground (U2G) and ground-to-UAV (G2U) communications, respectively, subject to a potential eavesdropper on the ground. In contrast to the existing literature on the wireless physical layer security only with the ground nodes at fixed or quasi-static locations, we exploit the high mobility of the UAV to proactively establish favorable and degraded channels for the legitimate and eavesdropping links, through its trajectory design. We formulate new problems to maximize the average secrecy rates of the U2G and G2U transmissions, by jointly optimizing the UAV's trajectory, and the transmit power of the legitimate transmitter over a given flight period of the UAV. Although the formulated problems are non-convex, we propose iterative algorithms to solve them efficiently by applying the block coordinate descent and successive convex optimization methods. Specifically, both the transmit power and UAV trajectory are optimized, with the other being fixed in an alternating manner, until the algorithms converge. The simulation results show that the proposed algorithms can improve the secrecy rates for both U2G and G2U communications, as compared to other benchmark schemes without power control and/or trajectory optimization.

UAV Applications and OptimizationWireless Communication Security TechniquesAdvanced Wireless Communication TechnologiesComputer scienceTransmitter power outputPhysical layerTelecommunications linkWirelessEavesdroppingChannel (broadcasting)Node (physics)Power controlComputer network

Funding

  • National Natural Science Foundation of China
Citations
631
FWCI
702.04
field-weighted impact
References
49
Percentile
100%
vs. same field & year
Citations per year
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References
Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs
IEEE Transactions on Wireless Communications · 2016 · 1,111 citations
Throughput Maximization for UAV-Enabled Mobile Relaying Systems
IEEE Transactions on Communications · 2016 · 1,341 citations
Mobile Unmanned Aerial Vehicles (UAVs) for Energy-Efficient Internet of Things Communications
IEEE Transactions on Wireless Communications · 2017 · 1,089 citations
Energy-Efficient UAV Communication With Trajectory Optimization
IEEE Transactions on Wireless Communications · 2017 · 2,091 citations
Joint Trajectory and Communication Design for Multi-UAV Enabled Wireless Networks
IEEE Transactions on Wireless Communications · 2018 · 1,961 citations
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