Beneficial jamming design for interference alignment networks
Interference alignment (IA) is a prospective method to manage interference between users in multi-user networks. On the other hand, jamming can be an effective way to combat adversarial eavesdropping for legitimate networks. In this paper, a beneficial jamming scheme is proposed for interference alignment networks. In the scheme, the jammer utilizes its precoding vector to constrain the jamming signal into the same subspace as that of the interference at each receiver to disrupt the potential eavesdropper without affecting the desired users' performances. Specifically, secure transmission can be guaranteed through the jamming without any additional cooperation with the IA users. Feasibility condition of the proposed scheme is derived, and the eavesdropping performance is further analyzed. Simulation results are presented to show the effectiveness of the proposed scheme.
|Keywords||Beneficial jamming, eavesdropping, feasibility condition, interference alignment, physical layer security|
|Conference||9th International Conference on Wireless Communications and Signal Processing, WCSP 2017|
Guo, J. (Jing), Cao, Y. (Yang), Yang, Z. (Zhutian), Zhao, N. (Nan), Yu, F.R, Chen, Y. (Yunfei), & Leung, V.C.M. (Victor C.M.). (2017). Beneficial jamming design for interference alignment networks. In 2017 9th International Conference on Wireless Communications and Signal Processing, WCSP 2017 - Proceedings (pp. 1–6). doi:10.1109/WCSP.2017.8171168