Secrecy capacity of a class of broadcast channels with an eavesdropper
EURASIP Journal on Wireless Communications and Networking - Special issue on wireless physical layer security
An MMSE approach to the secrecy capacity of the MIMO Gaussian wiretap channel
EURASIP Journal on Wireless Communications and Networking - Special issue on wireless physical layer security
A note on the secrecy capacity of the multiple-antenna wiretap channel
IEEE Transactions on Information Theory
Secrecy capacity region of the Gaussian multi-receiver wiretap channel
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
The worst additive noise under a covariance constraint
IEEE Transactions on Information Theory
Gradient of mutual information in linear vector Gaussian channels
IEEE Transactions on Information Theory
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
IEEE Transactions on Information Theory
An Extremal Inequality Motivated by Multiterminal Information-Theoretic Problems
IEEE Transactions on Information Theory
Secure Broadcasting Over Fading Channels
IEEE Transactions on Information Theory
The Secrecy Capacity Region of the Gaussian MIMO Multi-Receiver Wiretap Channel
IEEE Transactions on Information Theory
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We consider the Gaussian multiple-input multiple-output (MIMO) multi-receiver wiretap channel, and derive the secrecy capacity region of this channel for the most general case. We first prove the secrecy capacity region of the degraded MIMO channel, in which all receivers have the same number of antennas, and the noise covariance matrices exhibit a positive semidefinite order. We then generalize this result to the aligned case, in which all receivers have the same number of antennas, however there is no order among the noise covariance matrices. We accomplish this task by using the channel enhancement technique. Finally, we find the secrecy capacity region of the general MIMO channel by using some limiting arguments on the secrecy capacity region of the aligned MIMO channel. We show that a variant of dirty-paper coding with Gaussian signals is optimal.