Disrupting Anti-Jamming Interference Alignment Sensor Networks with Optimal Signal Design
Jing Hong Guo, Nan Zhao, Fei Richard Yu, Shun Zhang, Zhutian Yang, Victor C. M. Leung · IEEE Sensors Letters · 2017
Anti-jamming interference alignment (IA) can battle with the adversarial jamming signals for IA sensor networks effectively. In this letter, we design jamming signals to optimally disrupt the transmission of anti-jamming IA sensor networks. Specifically, with only the jamming channel information known for the jammer, we design the jamming signal to minimize the signal-to-jamming-plus-noise ratio (SJNR) at a certain targeted IA receiver with the jamming power constraints. Furthermore, an approximate expression of the minimized SJNR is presented to estimate the jamming performance theoretically. Simulation results are provided to verify the effectiveness of the proposed optimal jamming scheme towards IA sensor networks.