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.

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Keywords Anti-eavesdropping, artificial noise, interference alignment, physical layer security, wireless power transfer
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Conference 2016 IEEE International Conference on Communication Systems, ICCS 2016
Cao, Y. (Yang), Zhao, N. (Nan), Yu, F.R, Chen, Y. (Yunfei), Liu, X. (Xin), & Leung, V.C.M. (Victor C.M.). (2017). An anti-eavesdropping interference alignment scheme with wireless power transfer. In 2016 IEEE International Conference on Communication Systems, ICCS 2016. doi:10.1109/ICCS.2016.7833576