Title :
Signaling strategy optimization for Gaussian MIMO wiretap channel
Author :
Qingjiang Shi ; Enbin Song ; Guoan Chen
Author_Institution :
Sch. of Inf. Sci. & Tech., Zhejiang Sci-Tech Univ., Hangzhou, China
Abstract :
MIMO wiretap channel consists of a multiple antenna transmitter, a legitimate multiple antenna receiver and a multiple antenna eavesdropper. Signaling strategy optimization for MIMO wiretap channel, including secrecy capacity maximization problem and power minimization problem with a secrecy rate constraint, are studied. We identify when the two problems are globally solvable. Further, iterative algorithms based on concave-convex procedure are proposed for the two problems, which can monotonically converge to a Karush-Kuhn-Tucker (KKT) point of the two problems. Numerical examples validate the effectiveness of the proposed algorithms.
Keywords :
Gaussian channels; MIMO communication; antenna arrays; concave programming; convex programming; iterative methods; telecommunication security; telecommunication signalling; wireless channels; Gaussian MIMO wiretap channel; KKT point; Karush-Kuhn-Tucker point; concave-convex procedure; iterative algorithm; multiple-antenna eavesdropper; multiple-antenna receiver; multiple-antenna transmitter; power minimization problem; secrecy capacity maximization problem; secrecy rate constraint; signaling strategy optimization; Eigenvalues and eigenfunctions; MIMO; Minimization; Optimization; Receiving antennas; Transmitters;
Conference_Titel :
Communications (ICC), 2012 IEEE International Conference on
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4577-2052-9
Electronic_ISBN :
1550-3607
DOI :
10.1109/ICC.2012.6364133