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

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.

[1]  Tarik Taleb,et al.  A green strategic activity scheduling for UAV networks: A sub-modular game perspective , 2016, IEEE Communications Magazine.

[2]  Robert W. Heath,et al.  Grassmannian Differential Limited Feedback for Interference Alignment , 2011, IEEE Transactions on Signal Processing.

[3]  Victor C. M. Leung,et al.  Physical layer security issues in interference- alignment-based wireless networks , 2016, IEEE Communications Magazine.

[4]  Victor C. M. Leung,et al.  Interference Alignment and Its Applications: A Survey, Research Issues, and Challenges , 2016, IEEE Communications Surveys & Tutorials.

[5]  Victor C. M. Leung,et al.  Communications, caching, and computing oriented small cell networks with interference alignment , 2016, IEEE Communications Magazine.

[6]  Syed Ali Jafar,et al.  A Distributed Numerical Approach to Interference Alignment and Applications to Wireless Interference Networks , 2011, IEEE Transactions on Information Theory.

[7]  Lav Gupta,et al.  Survey of Important Issues in UAV Communication Networks , 2016, IEEE Communications Surveys & Tutorials.

[8]  Dongfeng Yuan,et al.  Interference Alignment Transceiver Design by Minimizing the Maximum Mean Square Error for MIMO Interfering Broadcast Channel , 2016, IEEE Transactions on Vehicular Technology.

[9]  Xiang-Gen Xia,et al.  A Diversity Analysis for Distributed Interference Alignment Using the Max-SINR Algorithm , 2014, IEEE Transactions on Information Theory.

[10]  Yichao Huang,et al.  Semi-Blind Interference Alignment Techniques for Small Cell Networks , 2014, IEEE Transactions on Signal Processing.

[11]  F. Richard Yu,et al.  A Novel Interference Alignment Scheme Based on Sequential Antenna Switching in Wireless Networks , 2013, IEEE Transactions on Wireless Communications.

[12]  Rui Zhang,et al.  Wireless communications with unmanned aerial vehicles: opportunities and challenges , 2016, IEEE Communications Magazine.

[13]  Ning Wang,et al.  Backhauling 5G small cells: A radio resource management perspective , 2015, IEEE Wireless Communications.

[14]  H. Vincent Poor,et al.  Cluster Content Caching: An Energy-Efficient Approach to Improve Quality of Service in Cloud Radio Access Networks , 2016, IEEE Journal on Selected Areas in Communications.

[15]  Rui Zhang,et al.  Throughput Maximization for UAV-Enabled Mobile Relaying Systems , 2016, IEEE Transactions on Communications.

[16]  Victor C. M. Leung,et al.  Opportunistic communications in interference alignment networks with wireless power transfer , 2015, IEEE Wireless Communications.

[17]  F. Richard Yu,et al.  Interference alignment with delayed channel state information and dynamic AR-model channel prediction in wireless networks , 2015, Wirel. Networks.

[18]  Mérouane Debbah,et al.  On the benefits of edge caching for MIMO interference alignment , 2015, 2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[19]  Mehdi Bennis,et al.  Living on the edge: The role of proactive caching in 5G wireless networks , 2014, IEEE Communications Magazine.

[20]  Kwok Hung Li,et al.  Artificial Noise Aided Physical Layer Security in Multi-Antenna Small-Cell Networks , 2017, IEEE Transactions on Information Forensics and Security.

[21]  Syed Ali Jafar,et al.  Interference Alignment and Degrees of Freedom of the $K$-User Interference Channel , 2008, IEEE Transactions on Information Theory.

[22]  Bin Xia,et al.  Analysis on Cache-Enabled Wireless Heterogeneous Networks , 2015, IEEE Transactions on Wireless Communications.

[23]  Urs Niesen,et al.  Cache-aided interference channels , 2015, 2015 IEEE International Symposium on Information Theory (ISIT).

[24]  Rui Zhang,et al.  Energy-Efficient UAV Communication With Trajectory Optimization , 2016, IEEE Transactions on Wireless Communications.

[25]  Chunxiao Jiang,et al.  Cooperative interference mitigation and handover management for heterogeneous cloud small cell networks , 2015, IEEE Wireless Communications.

[26]  Mahesh K. Varanasi,et al.  Interference Alignment Under Limited Feedback for MIMO Interference Channels , 2013, IEEE Transactions on Signal Processing.

[27]  Derrick Wing Kwan Ng,et al.  Secure Massive MIMO Transmission With an Active Eavesdropper , 2015, IEEE Transactions on Information Theory.

[28]  Urs Niesen,et al.  Fundamental Limits of Caching , 2014, IEEE Trans. Inf. Theory.

[29]  Donald F. Towsley,et al.  Physical Layer Security in Heterogeneous Cellular Networks , 2016, IEEE Transactions on Communications.

[30]  Xinbing Wang,et al.  On content-centric wireless delivery networks , 2014, IEEE Wireless Communications.

[31]  Mehdi Bennis,et al.  UAV-Assisted Heterogeneous Networks for Capacity Enhancement , 2016, IEEE Communications Letters.

[32]  Walid Saad,et al.  Optimal Transport Theory for Cell Association in UAV-Enabled Cellular Networks , 2017, IEEE Communications Letters.

[33]  Georgios B. Giannakis,et al.  Optimal resource allocation for MIMO ad hoc cognitive radio networks , 2008, 2008 46th Annual Allerton Conference on Communication, Control, and Computing.

[34]  Wenyi Zhang,et al.  Caching-Based Scalable Video Transmission Over Cellular Networks , 2016, IEEE Communications Letters.

[35]  Yan Yu,et al.  Power Allocation for Cache-Aided Small-Cell Networks With Limited Backhaul , 2017, IEEE Access.

[36]  Feifei Gao,et al.  Joint Information- and Jamming-Beamforming for Physical Layer Security With Full Duplex Base Station , 2014, IEEE Transactions on Signal Processing.

[37]  George K. Karagiannidis,et al.  Secure Switch-and-Stay Combining (SSSC) for Cognitive Relay Networks , 2016, IEEE Transactions on Communications.

[38]  A. H. Kayran,et al.  On Feasibility of Interference Alignment in MIMO Interference Networks , 2009, IEEE Transactions on Signal Processing.

[39]  Walid Saad,et al.  Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience , 2016, IEEE Journal on Selected Areas in Communications.

[40]  Rui Zhang,et al.  Placement Optimization of UAV-Mounted Mobile Base Stations , 2016, IEEE Communications Letters.