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.