The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Caching UAV Assisted Secure Transmission in Hyper-Dense Networks Based on Interference Alignment
Abstract
Unmanned aerial vehicles (UAVs) can help small-cell base stations (SBSs) offload traffic via wireless backhaul to improve coverage and increase rate. However, the capacity of backhaul is limited. In this paper, UAV assisted secure transmission for scalable videos in hyper-dense networks via caching is studied. In the proposed scheme, UAVs can act as SBSs to provide videos to mobile users in some small cells. To reduce the pressure of wireless backhaul, UAVs and SBSs are both equipped with caches to store videos at off-peak time. To facilitate UAVs, a single antenna is equipped at each UAV and thus, only the precoding matrices of SBSs should be cooperatively designed to manage interference by exploiting the principle of interference alignment. On the other hand, the SBSs replaced by UAVs will be idle. Thus, in order to guarantee secure transmission, the idle SBSs can be further exploited to generate jamming signal to disrupt eavesdropping. The jamming signal is zero-forced at the legitimate users through the precoding of the idle SBSs, without affecting the legitimate transmission. The feasibility conditions of the proposed scheme are derived, and the secrecy performance is analyzed. Finally, simulation results are presented to verify the effectiveness of the proposed scheme.
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Citations
Cites
Wireless communications with unmanned aerial vehicles: opportunities and challenges
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Interference Alignment and Degrees of Freedom of the $K$-User Interference Channel
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Energy-Efficient UAV Communication With Trajectory Optimization
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Throughput Maximization for UAV-Enabled Mobile Relaying Systems
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Cited by
Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges
Shakhatreh, H., Sawalmeh, A. H., Al-Fuqaha, A., Dou, Z., Almaita, E., Khalil, I., Othman, N. S., Khreishah, A., & Guizani, M. (2019) · IEEE Access · doi:10.1109/access.2019.2909530 · Cited by 2,529
UAV Communications for 5G and Beyond: Recent Advances and Future Trends
Li, B., Fei, Z., & Zhang, Y. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2887086 · Cited by 1,377
Computation Rate Maximization in UAV-Enabled Wireless-Powered Mobile-Edge Computing Systems
Zhou, F., Wu, Y., Hu, R. Q., & Qian, Y. (2018) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2018.2864426 · Cited by 851
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
Khan, R., Kumar, P., Jayakody, D. N. K., & Liyanage, M. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2933899 · Cited by 572
Metadata
- Authors
- Zhao, N., Cheng, F., Yu, F. R., Tang, J., Chen, Y., Gui, G., & Sari, H.
- Venue
- IEEE Transactions on Communications
- Published
- 2018-05
- Volume
- 66
- Issue
- 5
- Pages
- 2281-2294
- ISSN
- 0090-6778 (ISSN-L)
- OpenAlex
- W2783103509
- Cited by
- 304
- References
- 33
- FWCI
- 42.08
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhao, N., Cheng, F., Yu, F. R., Tang, J., Chen, Y., Gui, G., & Sari, H. (2018). Caching UAV Assisted Secure Transmission in Hyper-Dense Networks Based on Interference Alignment. IEEE Transactions on Communications. https://doi.org/10.1109/tcomm.2018.2792014
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