Title :
A novel anti-jamming scheme for interference alignment (IA)-based wireless networks
Author :
Jing Guo;Nan Zhao;F. Richard Yu;Ming Li;Victor C.M. Leung
Author_Institution :
School of Information and Communication Engineering, Dalian University of Technology, Dalian, China
Abstract :
Interference alignment (IA) is a prospective technique of interference management in wireless networks, and jamming is a potential threat for security, which will degrade the performance of IA networks severely. However, the jamming issue is simply ignored in the existing IA studies. In this paper, we propose a novel anti-jamming scheme for the IA-based network, in which there exists an adversarial jammer outside the network intending to interrupt the transmission of IA users. In the proposed scheme, the jamming and interferences are constrained into the same subspace at each receiver, and thus the jamming signal can be eliminated perfectly along with interferences. To achieve this goal, more antennas should be equipped or fewer data streams can be transmitted in the network. Thus the feasibility conditions of the proposed scheme are derived in the cases of one and more streams for each user, respectively. Simulation results are presented to show the effectiveness of the proposed scheme.
Keywords :
"Jamming","Interference","Signal to noise ratio","Wireless networks","Receivers","Precoding","Covariance matrices"
Conference_Titel :
Communications in China (ICCC), 2015 IEEE/CIC International Conference on
DOI :
10.1109/ICCChina.2015.7448696