Computer Science > Information Theory
[Submitted on 18 Oct 2014 (v1), last revised 11 Jun 2015 (this version, v3)]
Title:Secure Degrees of Freedom of Wireless X Networks Using Artificial Noise Alignment
View PDFAbstract:The problem of transmitting confidential messages in $M \times K$ wireless X networks is considered, in which each transmitter intends to send one confidential message to every receiver. In particular, the secure degrees of freedom (SDOF) of the considered network are studied based on an artificial noise alignment (ANA) approach, which integrates interference alignment and artificial noise transmission. At first, an SDOF upper bound is derived for the $M \times K$ X network with confidential messages (XNCM) to be $\frac{K(M-1)}{K+M-2}$. By proposing an ANA approach, it is shown that the SDOF upper bound is tight when $K=2$ for the considered XNCM with time/frequency varying channels. For $K \geq 3$, it is shown that SDOF of $\frac{K(M-1)}{K+M-1}$ can be achieved, even when an external eavesdropper is present. 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. Moreover, for the network with no channel state information at transmitters, a blind ANA scheme is proposed to achieve SDOF of $\frac{K(M-1)}{K+M-1}$ for $K,M \geq 2$, with reconfigurable antennas at receivers. The proposed method provides a linear approach to secrecy coding and interference alignment.
Submission history
From: Zhao Wang [view email][v1] Sat, 18 Oct 2014 21:38:31 UTC (858 KB)
[v2] Thu, 23 Oct 2014 17:26:30 UTC (859 KB)
[v3] Thu, 11 Jun 2015 18:09:52 UTC (862 KB)
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