On Secrecy Rate of the Generalized Artificial-Noise Assisted Secure Beamforming for Wiretap Channels
Journal
IEEE Journal on Selected Areas in Communications
Journal Volume
31
Journal Issue
9
Pages
1728-1740
Date Issued
2013-09
Author(s)
Abstract
In this paper we consider the secure transmission with multiple-input, single-output, single-antenna eavesdropper (MISOSE) in fast fading channels where the transmitter knows perfect legitimate channel state information but only the statistics of the eavesdropper's channel. For the MISOSE channels, the artificial noise assisted beamforming proposed by Goel and Negi is a promising technique, where the artificial noise is imposed on the null space of the legitimate channel to disrupt the eavesdropper's reception. Here we propose a generalized artificial noise scheme which allows the injection of the artificial noise to the legitimate channel. Although the generalized artificial noise may cause the leakage of artificial noise at the legitimate receiver, the secrecy rate can still be improved since the covariance matrix of it is more flexible than the heuristic one selected by Goel and Negi. To fully characterize the proposed scheme, we investigate the optimization of its secrecy rate. We first derive the conditions under which the beamformers of the message bearing signal and the generalized artificial noise being the same is optimal. Based on this choice, the complicated secrecy rate optimization problem over the covariance matrices of the message-bearing signal and the generalized artificial noise can be reduced to a much simpler power allocation problem. We also develop an efficient algorithm to solve this non-convex power allocation problem. Numerical results show that our generalized artificial noise scheme outperforms Goel and Negi's heuristic selection, especially in the near eavesdropper settings. In particular, with the aid of the proposed scheme, the regime with non-zero secrecy rate is enlarged, which can significantly improve the connectivity of the network. © 1983-2012 IEEE.
Subjects
Artificial noise; Multiple antenna; Partial channel statement information at transmitter; Perfect secrecy; Physical layer security; Secure beamforming; Wiretap channel
SDGs
Other Subjects
Antennas; Beamforming; Communication channels (information theory); Covariance matrix; Energy efficiency; Fading channels; Network layers; Optimization; Transmitters; Artificial noise; Channel statement information; Multiple antenna; Perfect secrecy; Physical layer security; Wire-tap channels; Channel state information
Type
journal article