Matrix analysis
Information Theoretic Security
Foundations and Trends in Communications and Information Theory
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
Multiple-input multiple-output Gaussian broadcast channels with confidential messages
IEEE Transactions on Information Theory
Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design
IEEE Transactions on Wireless Communications - Part 1
Mutual information and minimum mean-square error in Gaussian channels
IEEE Transactions on Information Theory
Gradient of mutual information in linear vector Gaussian channels
IEEE Transactions on Information Theory
Optimum power allocation for parallel Gaussian channels with arbitrary input distributions
IEEE Transactions on Information Theory
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Information Theoretic Security
Foundations and Trends in Communications and Information Theory
Secured communication over frequency-selective fading channels: a practical vandermonde precoding
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
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
MIMO Gaussian broadcast channels with confidential messages
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Gaussian MIMO multi-receiver wiretap channel
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Secure communication over MISO cognitive radio channels
IEEE Transactions on Wireless Communications
IEEE Transactions on Communications
Multiple-input multiple-output Gaussian broadcast channels with confidential messages
IEEE Transactions on Information Theory
Secure transmission with multiple antennas: part II: the MIMOME wiretap channel
IEEE Transactions on Information Theory
Resource allocation for parallel Gaussian MIMO wire-tap channels
IEEE Communications Letters
On the multi-antenna wiretap channel with delayed CSI at the transmitter
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
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This paper provides a closed-form expression for the secrecy capacity of the multiple-input multiple output (MIMO) Gaussian wiretap channel, under a power-covariance constraint. Furthermore, the paper specifies the input covariance matrix required in order to attain the capacity. The proof uses the fundamental relationship between information theory and estimation theory in the Gaussian channel, relating the derivative of the mutual information to the minimum mean-square error (MMSE). The proof provides themissing intuition regarding the existence and construction of an enhanced degraded channel that does not increase the secrecy capacity. The concept of enhancement has been used in a previous proof of the problem. Furthermore, the proof presents methods that can be used in proving other MIMO problems, using this fundamental relationship.