The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Securing UAV Communications via Joint Trajectory and Power Control
Open accessAbstract
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.
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Cites
Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601
Wireless communications with unmanned aerial vehicles: opportunities and challenges
Zeng, Y., Zhang, R., & Lim, T. J. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7470933 · Cited by 4,048
Self-citation
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Yaacoub, J.-P., Noura, H., Salman, O., & Chehab, A. (2020) · Internet of Things · doi:10.1016/j.iot.2020.100218 · Cited by 727
A Vision and Framework for the High Altitude Platform Station (HAPS) Networks of the Future
Karabulut Kurt, G., Khoshkholgh, M. G., Alfattani, S., Ibrahim, A., Darwish, T. S. J., Alam, M. S., Yanikomeroglu, H., & Yongacoglu, A. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3066905 · Cited by 538
A Survey on Millimeter-Wave Beamforming Enabled UAV Communications and Networking
Xiao, Z., Zhu, L., Liu, Y., Yi, P., Zhang, R., Xia, X.-G., & Schober, R. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3124512 · Cited by 420
Self-citationSecrecy Performance of the UAV Enabled Cognitive Relay Network
Chi-Nguyen, D., Pathirana, P. N., Ding, M., & Seneviratne, A. (2018) · 2018 IEEE 3rd International Conference on Communication and Information Systems (ICCIS) · doi:10.1109/icomis.2018.8644982 · Cited by 30
Metadata
- Authors
- Zhang, G., Wu, Q., Cui, M., & Zhang, R.
- Venue
- IEEE Transactions on Wireless Communications
- Published
- 2019-02
- Volume
- 18
- Issue
- 2
- Pages
- 1376-1389
- ISSN
- 1536-1276 (ISSN-L)
- 1558-2248
- OpenAlex
- W2963117265
- Cited by
- 615
- References
- 2
- FWCI
- 31.55
- Type
- journal article
- Language
- en
- Open access
- green
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- Zhang, G., Wu, Q., Cui, M., & Zhang, R. (2019). Securing UAV Communications via Joint Trajectory and Power Control. IEEE Transactions on Wireless Communications. https://doi.org/10.1109/twc.2019.2892461
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