DocumentCode
2030372
Title
On the Gaussian MIMO Wiretap Channel
Author
Khisti, A. ; Wornell, Gregory ; Wiesel, Ami ; Eldar, Y.
Author_Institution
MIT, Cambridge
fYear
2007
fDate
24-29 June 2007
Firstpage
2471
Lastpage
2475
Abstract
Wyner\´s wiretap channel is generalized to the case when the sender, the receiver and the eavesdropper have multiple antennas. We consider two cases: the deterministic case and the fading case. In the deterministic case, the channel matrices of the intended receiver and the eavesdropper are fixed and known to all the nodes. In the fading case, the channel matrices experience block fading and the sender has only the intended receiver\´s channel state information (CSI) and statistical knowledge of the eavesdropper\´s channel. For the deterministic case, a scheme based on the generalized-singular-value-decomposition (GSVD) of the channel matrices is proposed and shown to achieve the secrecy capacity in the high signal-to-noise-ratio (SNR) limit. When the intended receiver has only one antenna (MISO case) the secrecy-capacity is characterized for any SNR. Next, a suboptimal "artificial noise" based scheme is considered. Its performance is characterized and observed to be nearly optimal in the high SNR regime for the MISO case. This scheme extends naturally to the fading case and results are reported for the MISO case. For the independent Rayleigh fading distribution as we simultaneously increase the number of antennas at the sender and the eavesdropper, the secrecy capacity approaches zero if and only if the ratio of the number of eavesdropper antennas to transmitter antennas is at least two.
Keywords
Gaussian channels; MIMO communication; Rayleigh channels; singular value decomposition; statistical analysis; Gaussian MIMO wiretap channel; channel matrices; channel state information; eavesdropper channel; generalized-singular-value-decomposition; independent Rayleigh fading distribution; statistical knowledge; suboptimal artificial noise based scheme; Ambient intelligence; Capacity planning; Channel state information; Fading; Helium; MIMO; Rayleigh channels; Receiving antennas; Signal to noise ratio; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2007. ISIT 2007. IEEE International Symposium on
Conference_Location
Nice
Print_ISBN
978-1-4244-1397-3
Type
conf
DOI
10.1109/ISIT.2007.4557590
Filename
4557590
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