Robust Beamforming for Security in MIMO Wiretap Channels With Imperfect CSI

By A. Mukherjee, A. L. Swindlehurst. IEEE Transactions on Signal Processing, 2010

473 citations recorded by the source corpus.

In this paper, we investigate methods for reducing the likelihood that a message transmitted between two multi-antenna nodes is intercepted by an undetected eavesdropper. In particular, we focus on the judicious transmission of artificial interference to mask the desired signal at the time it is broadcast. Unlike previous work that assumes some prior knowledge of the eavesdropper's channel and focuses on maximizing secrecy capacity, we consider the case where no information regarding the eavesdropper is available, and we use signal-to-interference-plus-noise-ratio (SINR) as our performance metric. Specifically, we focus on the problem of maximizing the amount of power available to broadcast a jamming signal intended to hide the desired signal from a potential eavesdropper, while maintaining a prespecified SINR at the desired receiver. The jamming signal is designed to be orthogonal to the information signal when it reaches the desired receiver, assuming both the receiver and the eavesdropper employ optimal beamformers and possess exact channel state information (CSI). In practice, the assumption of perfect CSI at the transmitter is often difficult to justify. Therefore, we also study the resulting performance degradation due to the presence of imperfect CSI, and we present robust beamforming schemes that recover a large fraction of the performance in the perfect CSI case. Numerical simulations verify our analytical performance predictions, and illustrate the benefit of the robust beamforming schemes.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/3651d0eff5825abda68e9730c886230789951f29

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Citations in the corpus

Cooperative Jamming for Secure Communications in MIMO Relay Networks (2011, background): “While the transmission parameters cannot be chosen to optimize (9) when the eavesdropper’s CSI is unknown, the approach of [15], [24], [25] can be followed in which attention is restricted to obtaining a certain desired QoS for the legitimate receiver, and then finding a robust strategy for using th”
Classifications and Applications of Physical Layer Security Techniques for Confidentiality: A Comprehensive Survey (2019, methodology): “Huang and Swindlehurst [143] studied the joint use of artificial noise generation and spatial beamforming for enhancing security of MISO channel in the presence of multiple eavesdroppers given that no CSI of wiretap channel is available.”
A Survey on Wireless Security: Technical Challenges, Recent Advances, and Future Trends (2015, methodology): “In [132], multiple antennas were used for beamforming in order to improve the attainable secrecy capacity of wireless transmissions from SN to DN in the presence of an eavesdropper.”
Transmit Antenna Selection for Security Enhancement in MIMO Wiretap Channels (2013, methodology): “In [17], beamforming was proposed to minimize the transmit power for a prespecified signal-to-interference-plusnoise ratio (SINR) at the receiver.”
Enhancing the Physical Layer Security of Non-Orthogonal Multiple Access in Large-Scale Networks (2016, methodology): “16 [17] A. Mukherjee and A. Swindlehurst, “Robust beamformingfor security in MIMO wiretap channels with imperfect CSI,”IEEE Trans.”
Physical Layer Security for Next Generation Wireless Networks: Theories, Technologies, and Challenges (2017, methodology): “In [52], a transmitter allocates a minimum possible fraction ρ of the available transmit power P to achieve a desired SINR between the transmitter and the intended receiver, and allocates all of transmitter’s remaining power to send artificial interference signals that are uniformly distributed in s”