Matrix computations (3rd ed.)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Secure transmission with multiple antennas I: the MISOME wiretap channel
IEEE Transactions on Information Theory
Secure transmission with multiple antennas: part II: the MIMOME wiretap channel
IEEE Transactions on Information Theory
Cooperative multi-cell block diagonalization with per-base-station power constraints
IEEE Journal on Selected Areas in Communications - Special issue on cooperative communications in MIMO cellular networks
Physical Layer Cryptography and Cognitive Networks
Wireless Personal Communications: An International Journal
Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels
IEEE Transactions on Signal Processing
A Leakage-Based Precoding Scheme for Downlink Multi-User MIMO Channels
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
MIMO Interference Channel With Confidential Messages: Achievable Secrecy Rates and Precoder Design
IEEE Transactions on Information Forensics and Security - Part 1
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In this paper, a novel closed-form transmit beamforming scheme is proposed for multiple-input multiple-output (MIMO) wiretap channel. The proposed method follows the idea of maximizing signal-to-leakage-plus-noise ratio and does not need additional power allocation. An efficient approach is further developed to implement the generalized eigenvalue decomposition required by our method when n r n t (n t , n r and n e denote the antenna numbers at the transmitter, the intended receiver and the eavesdropper, respectively), which has lower complexity than the existing approaches. Moreover, we identify some shortcomings of the generalized singular value decomposition (GSVD) based beamforming method, a common beamforming scheme for MIMO wiretap channel. Finally, simulation results show that the proposed method significantly outperforms GSVD-based method when n e n t and has almost the same performance as GSVD-based method when n e 驴 n t .