Linear precoding for spatially correlated multiple-input single-output wiretap channel

A precoding scheme for physical layer security of multiple-input single-output (MISO) wiretap channel with spatial correlation is designed. Quality-of-service (QoS) of the link is defined in terms of upper bounds on average symbol error rate function at Bob (legitimate user) and Eve (illegitimate user). Specifically, two problems are considered. First, a precoder matrix is designed to minimise the average transmitted power subject to QoS requirements at Bob and Eve. Next, we propose two algorithms to minimize QoS of illegitimate party for a given reliability level, depending on whether main user link has no correlation or is fully correlated. Our result for uncorrelated case demonstrate that by increasing the allocated power, main user can increase secrecy level up to an optimum point above which both legitimate and illegitimate receivers experience adequate QoS in their links. In fully correlated case, the problem is identified as an instance of concave minimisation over a polytope, and optimum power allocation is obtained via the widely known vertex enumeration algorithm. In both cases, our simulations validate the analysis significantly. The results confirm that linear precoding is able to trade average power against minimum achievable Eve performance.

[1]  A. D. Wyner,et al.  The wire-tap channel , 1975, The Bell System Technical Journal.

[2]  João M. F. Xavier,et al.  Filter Design With Secrecy Constraints: The MIMO Gaussian Wiretap Channel , 2013, IEEE Transactions on Signal Processing.

[3]  Matthieu R. Bloch,et al.  Wireless Information-Theoretic Security , 2008, IEEE Transactions on Information Theory.

[4]  Chintha Tellambura,et al.  Precoder Design for Space-Time Coded Systems Over Correlated Rayleigh Fading Channels Using Convex Optimization , 2009, IEEE Transactions on Signal Processing.

[5]  Are Hjørungnes,et al.  Precoding of Orthogonal Space-Time Block Codes in Arbitrarily Correlated MIMO Channels: Iterative and Closed-Form Solutions , 2007, IEEE Transactions on Wireless Communications.

[6]  Gregory W. Wornell,et al.  Secure Transmission With Multiple Antennas I: The MISOME Wiretap Channel , 2010, IEEE Transactions on Information Theory.

[7]  K. J. Ray Liu,et al.  Generalized anti-eavesdropping space-time network coding for cooperative communications , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[8]  I. Olkin,et al.  Inequalities: Theory of Majorization and Its Applications , 1980 .

[9]  Nuwan S. Ferdinand,et al.  Physical Layer Security in MIMO OSTBC Line-of-Sight Wiretap Channels with Arbitrary Transmit/Receive Antenna Correlation , 2013, IEEE Wireless Communications Letters.

[10]  Shlomo Shamai,et al.  Information Theoretic Security , 2009, Found. Trends Commun. Inf. Theory.

[11]  Emil Björnson,et al.  Impact of Spatial Correlation and Precoding Design in OSTBC MIMO Systems , 2010, IEEE Transactions on Wireless Communications.

[12]  Chau Yuen,et al.  Physical Layer Security of TAS/MRC With Antenna Correlation , 2013, IEEE Transactions on Information Forensics and Security.

[13]  C.-C. Jay Kuo,et al.  Enhancing Physical-Layer Secrecy in Multiantenna Wireless Systems: An Overview of Signal Processing Approaches , 2013, IEEE Signal Processing Magazine.

[14]  Rohit Negi,et al.  Guaranteeing Secrecy using Artificial Noise , 2008, IEEE Transactions on Wireless Communications.

[15]  Mounir Ghogho,et al.  Outage Probability Based Power Distribution Between Data and Artificial Noise for Physical Layer Security , 2012, IEEE Signal Processing Letters.

[16]  John M. Cioffi,et al.  Uniform power allocation in MIMO channels: a game-theoretic approach , 2003, IEEE Transactions on Information Theory.

[17]  A. Robert Calderbank,et al.  Space-time block coding for wireless communications: performance results , 1999, IEEE J. Sel. Areas Commun..

[18]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[19]  Holger Boche,et al.  Majorization and Matrix-Monotone Functions in Wireless Communications , 2007, Found. Trends Commun. Inf. Theory.

[20]  Chong-Yung Chi,et al.  QoS-Based Transmit Beamforming in the Presence of Eavesdroppers: An Optimized Artificial-Noise-Aided Approach , 2011, IEEE Transactions on Signal Processing.

[21]  J. Magnus,et al.  Matrix Differential Calculus with Applications in Statistics and Econometrics , 1991 .

[22]  Charles R. Johnson,et al.  Topics in Matrix Analysis , 1991 .

[23]  Steven W. McLaughlin,et al.  Stopping sets for physical-layer security , 2010, 2010 IEEE Information Theory Workshop.