Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Using encryption for authentication in large networks of computers
Communications of the ACM
On the impact of quantized channel feedback in guaranteeing secrecy with artificial noise
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Secure transmission with multiple antennas I: the MISOME wiretap channel
IEEE Transactions on Information Theory
Guaranteeing Secrecy using Artificial Noise
IEEE Transactions on Wireless Communications
Training sequence design for discriminatory channel estimation in wireless MIMO systems
IEEE Transactions on Signal Processing
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A training-based channel estimation scheme is proposed in the paper to enable the quality-of-service discrimination between legitimate and non-legitimate receivers in wireless networks. This method has applications ranging from user discrimination in wireless TV broadcast systems to the prevention of eavesdropping in secret communications. Specifically, by considering a network that consists of a multiple-antenna transmitter and two single-antenna receivers (i.e., the legitimate and nonlegitimate receivers), we propose a multi-stage training-based channel estimation scheme that minimizes the normalized mean-squared error of the channel estimate at the legitimate receiver subject to a constraint on the estimation performance attainable by the non-legitimate receiver. The key idea is to exploit channel feedback from the legitimate receiver at the beginning of each stage to enable the use of artificial noise in the training signal, which allows us to effectively degrade the channel estimation performance at the non-legitimate receiver. The channel estimate obtained by the legitimate receiver in earlier stages are restricted due to constraints on the performance of the nonlegitimate receiver, but may improve rapidly in later stages owing to the help of artificial noise and more accurate knowledge of the legitimate receiver's channel. Simulation results are presented to demonstrate the efficacy of the proposed channel estimation scheme.