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Caching UAV assisted secure transmission in hyper-dense networks based on interference alignment
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Zhao, Nan, Cheng, Fen, Yu, F. Richard, Tang, Jie, Chen, Yunfei, Gui, Guan and Sari, Hikmet (2018) Caching UAV assisted secure transmission in hyper-dense networks based on interference alignment. IEEE Transactions on Communications, 66 (5). pp. 2281-2294. doi:10.1109/TCOMM.2018.2792014
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WRAP-caching-UAV-assisted-secure-hyper-dense-networks-Chen-2018.pdf - Accepted Version - Requires a PDF viewer. Download (1120Kb) | Preview |
Official URL: http://dx.doi.org/10.1109/TCOMM.2018.2792014
Abstract
Unmanned aerial vehicles (UAVs) can help smallcell 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.
| Item Type: | Journal Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||||
| Divisions: | Faculty of Science > Engineering | ||||||||
| Library of Congress Subject Headings (LCSH): | Wireless communication systems, Drone aircraft | ||||||||
| Journal or Publication Title: | IEEE Transactions on Communications | ||||||||
| Publisher: | IEEE | ||||||||
| ISSN: | 0090-6778 | ||||||||
| Official Date: | May 2018 | ||||||||
| Dates: |
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| Volume: | 66 | ||||||||
| Number: | 5 | ||||||||
| Page Range: | pp. 2281-2294 | ||||||||
| DOI: | 10.1109/TCOMM.2018.2792014 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Restricted or Subscription Access |
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