An anti-eavesdropping interference alignment scheme with wireless power transfer

Passive eavesdropping is a main threat for the security of interference alignment (IA) networks. To solve this problem, artificial noise (AN) can be utilized in IA networks. In addition, AN can be exploited as an energy source through wireless power transfer (WPT). In this paper, we propose an AN-assisted IA scheme with WPT. In the scheme, AN is transmitted by each IA transmitter to disrupt the eavesdroppers, with energy harvesting implemented by the power-splitting (PS) method. To enhance the capability of anti-eavesdropping and WPT, the total transmit power of AN is maximized to disrupt the eavesdropper by jointly optimizing the transmit power of legitimate signal and the PS coefficients, with both of the required SINR and harvested energy constrained. Extensive simulation results are presented to validate the effectiveness of the proposed scheme.

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

[2]  Bo Hu,et al.  Optimal Transceiver Design for SWIPT in $K$-User MIMO Interference Channels , 2016, IEEE Transactions on Wireless Communications.

[3]  Vijay K. Bhargava,et al.  Linear Precoding of Data and Artificial Noise in Secure Massive MIMO Systems , 2015, IEEE Transactions on Wireless Communications.

[4]  Athanasios V. Vasilakos,et al.  A Survey of Security Challenges in Cognitive Radio Networks: Solutions and Future Research Directions , 2012, Proceedings of the IEEE.

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

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

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

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

[9]  Lajos Hanzo,et al.  A Survey on Wireless Security: Technical Challenges, Recent Advances, and Future Trends , 2015, Proceedings of the IEEE.

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

[11]  Peter C. Mason,et al.  Defense against spectrum sensing data falsification attacks in mobile ad hoc networks with cognitive radios , 2009, MILCOM 2009 - 2009 IEEE Military Communications Conference.

[12]  Victor C. M. Leung,et al.  Secure Transmission in Interference Alignment (IA)-Based Networks with Artificial Noise , 2016, 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring).

[13]  Rui Zhang,et al.  MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer , 2013 .

[14]  Huiming Wang,et al.  Secure MISO Wiretap Channels With Multiantenna Passive Eavesdropper: Artificial Noise vs. Artificial Fast Fading , 2015, IEEE Transactions on Wireless Communications.

[15]  Victor C. M. Leung,et al.  Anti-Eavesdropping Schemes for Interference Alignment (IA)-Based Wireless Networks , 2016, IEEE Transactions on Wireless Communications.

[16]  Victor C. M. Leung,et al.  Wireless energy harvesting in interference alignment networks , 2015, IEEE Communications Magazine.