4.7 Article

Caching UAV Assisted Secure Transmission in Hyper-Dense Networks Based on Interference Alignment

Journal

IEEE TRANSACTIONS ON COMMUNICATIONS
Volume 66, Issue 5, Pages 2281-2294

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCOMM.2018.2792014

Keywords

Caching; interference alignment; physical layer security; small-cell networks; unmanned aerial vehicles

Funding

  1. National Mobile Communications Research Laboratory, Southeast University [2018D03]
  2. Xinghai Scholars Program
  3. National Natural Science Foundation of China [61771089, 61671101, 61601186]
  4. Fundamental Research Funds for the Central Universities [DUT17JC43]
  5. Natural Science Foundation of Guangdong Province [2017A030313383]

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Unmanned aerial vehicles (UAVs) can help small-cell base stations (SBSs) offload traffic via wireless back-haul 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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