Securing UAV Communications via Joint Trajectory and Power Control
By Guangchi Zhang, Qingqing Wu, Miao Cui, Rui Zhang. IEEE Transactions on Wireless Communications, 2018
549 citations recorded by the source corpus.
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.
Subfields: Aerospace Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/d75281576f726a49dd0bacd590a5af70dbf39edf
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Citations in the corpus
- Throughput Maximization for UAV-Enabled Integrated Periodic Sensing and Communication (2022, background): “[48], where KN + JKN stands for the number of variables [48].”
- Reconfigurable Intelligent Surface Assisted UAV Communication: Joint Trajectory Design and Passive Beamforming (2019, background): “Following the results in [3], we can guarantee that the average achievable rate by solving problem (9) is non-decreasing over iterations.”
- Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond (2019, background): “For example, thanks to the high mobility, legitimate UAV transmitters or receivers can move far away from ground eavesdroppers to reduce information leakage to them [146,217]–[219].”
- A Survey on Millimeter-Wave Beamforming Enabled UAV Communications and Networking (2021, background): “For the links between two UAVs, the trajectory of UAVs can be cooperatively designed with the resource allocation to enhance the security [340].”
- UAV assistance paradigm: State-of-the-art in applications and challenges (2020, background): “Also, other kinds of applications involving UAVs have been designed in order to enhance the connectivity of ground networks [4], coordinate with ground vehicles [5], collect data from ground sensors [6], recover connectivity in harsh environments [7], and secure communications with the ground [8].”
- A Vision and Framework for the High Altitude Platform Station (HAPS) Networks of the Future (2020, background): “This calls for more effective techniques rely on information theoretic security [261], [262] and also covert communications [263] for HAPS communications.”