Filter Design with Secrecy Constraints: The MIMO Gaussian Wiretap Channel
Hugo Reboredo, Jo\~ao Xavier, Miguel R. D. Rodrigues

TL;DR
This paper develops optimal filter designs for secure MIMO Gaussian wiretap channels, balancing legitimate communication quality with eavesdropper error constraints, and analyzes robustness to channel uncertainties.
Contribution
It introduces convex optimization-based filter design methods for secure MIMO channels, including scenarios with channel uncertainty and eavesdropper filter variations.
Findings
Optimal linear filter designs are characterized and proven convex.
Filter robustness to channel modeling errors is demonstrated.
Designs effectively limit eavesdropper's error probability and impact secrecy rates.
Abstract
This paper considers the problem of filter design with secrecy constraints, where two legitimate parties (Alice and Bob) communicate in the presence of an eavesdropper (Eve), over a Gaussian multiple-input-multiple-output (MIMO) wiretap channel. This problem involves designing, subject to a power constraint, the transmit and the receive filters which minimize the mean-squared error (MSE) between the legitimate parties whilst assuring that the eavesdropper MSE remains above a certain threshold. We consider a general MIMO Gaussian wiretap scenario, where the legitimate receiver uses a linear Zero-Forcing (ZF) filter and the eavesdropper receiver uses either a ZF or an optimal linear Wiener filter. We provide a characterization of the optimal filter designs by demonstrating the convexity of the optimization problems. We also provide generalizations of the filter designs from the scenario…
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