Title :
Secrecy degrees of freedom of wireless X networks using artificial noise alignment
Author :
Zhao Wang;Ming Xiao;Mikael Skoglund;H. Vincent Poor
Author_Institution :
Royal Institute of Technology (KTH), 100 44 Stockholm, Sweden
fDate :
6/1/2015 12:00:00 AM
Abstract :
The problem of transmitting confidential messages in the M × K wireless X network is considered, in which each transmitter intends to send one confidential message to every receiver. In particular, the secrecy degrees of freedom (SDOF) of the considered network are studied by an artificial noise alignment (ANA) approach, which integrates interference alignment and artificial noise transmission. At first, an SDOF upper bound is derived for the M × K X network with confidential messages (XNCM) K(M-1)/K+M-2 to be equation. By proposing an ANA approach, it is shown that the SDOF upper bound is tight when either K = 2 or M = 2 for the considered XNCM with time/frequency varying channels. For K, M ≥ 3, it is shown that an SDOF of K(M-1)/K+M1 equation can be achieved, even when an external eavesdropper appears. The key idea of the proposed scheme is to inject artificial noise into the network, which can be aligned in the interference space at receivers for confidentiality. The proposed method provides a linear approach for secure interference alignment.
Keywords :
"Receivers","Interference","Transmitters","Noise","Upper bound","Wireless communication","Time-frequency analysis"
Conference_Titel :
Information Theory (ISIT), 2015 IEEE International Symposium on
Electronic_ISBN :
2157-8117
DOI :
10.1109/ISIT.2015.7282528