The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
UAV-Aided Secure Communications With Cooperative Jamming
Abstract
This paper investigates unmanned aerial vehicle (UAV) enabled secure communication systems where a mobile UAV wishes to send confidential messages to multiple ground users. To improve the security performance, a cooperative UAV is additionally considered that transmits the jamming signal. In this system, we maximize the minimum secrecy rate among the ground users by jointly optimizing the trajectory and the transmit power of the UAVs as well as the user scheduling. To efficiently solve this nonconvex problem, we adopt block successive upper bound minimization techniques, which address a sequence of approximated convex problems for each block of variables. Numerical results verify that the proposed algorithm outperforms baseline methods.
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Citations
Cites
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
Cited by
Security analysis of drones systems: Attacks, limitations, and recommendations
Yaacoub, J.-P., Noura, H., Salman, O., & Chehab, A. (2020) · Internet of Things · doi:10.1016/j.iot.2020.100218 · Cited by 727
Metadata
- Authors
- Lee, H., Eom, S., Park, J., & Lee, I.
- Venue
- IEEE Transactions on Vehicular Technology
- Published
- 2018-10
- Volume
- 67
- Issue
- 10
- Pages
- 9385-9392
- ISSN
- 0018-9545 (ISSN-L)
- 1939-9359
- OpenAlex
- W2850930826
- Cited by
- 209
- References
- 1
- FWCI
- 24.28
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lee, H., Eom, S., Park, J., & Lee, I. (2018). UAV-Aided Secure Communications With Cooperative Jamming. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2018.2853723
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
