Transmitter optimization and optimality of beamforming for multiple antenna systems

By Syed Ali Jafar, Andrea J. Goldsmith. IEEE Transactions on Wireless Communications, 2004

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MIMO Wireless Linear Precoding (2007, background): “The proof for the capacity criterion can be found in [10] and [14] and for the PEP criterion, in [22].”
A robust maximin approach for MIMO communications with imperfect channel state information based on convex optimization (2006, background): “Also in [41], a transmitter is designed according to different degrees of channel knowledge, showing that in some situations, the capacity achieving solution may need to use multiple beamforming.”
Robust Beamforming for Security in MIMO Wiretap Channels With Imperfect CSI (2010, methodology): “The robust algorithms rely on knowledge of the statistics of the CSI errors, and use a second-order perturbation analysis of the primary channel’s singular value decomposition to account for the effects of the perturbation on the desired data stream.”
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming (2006, methodology): “For single-user MIMO channels, various types of imperfect CSIT, including covariance [30], delayed [31], and quantized feedback [32], have been considered in the literature.”
Recent Advances in Cloud Radio Access Networks: System Architectures, Key Techniques, and Open Issues (2016, methodology): “Precoding based on the statistical CSIs has been well studied for single-user multiple input multiple output (SU-MIMO) [68], [69] and then extended”