MIMO minimum total MSE transceiver design with imperfect CSI at both ends
IEEE Transactions on Signal Processing
Robust transceiver optimization in downlink multiuser MIMO systems
IEEE Transactions on Signal Processing
Worst-case robust MIMO transmission with imperfect channel knowledge
IEEE Transactions on Signal Processing
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IEEE Transactions on Signal Processing
Delay-optimal power and precoder adaptation for multi-stream MIMO systems
IEEE Transactions on Wireless Communications
Robust cognitive beamforming with bounded channel uncertainties
IEEE Transactions on Signal Processing
Improved linear transmit processing for single-user and multi-user MIMO communications systems
IEEE Transactions on Signal Processing
Bayesian robust linear transceiver design for dual-hop amplify-and-forward MIMO relay systems
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Robust deconvolution for ARMAX models with Gaussian uncertainties
Signal Processing
Maximum mutual information design for MIMO systems with imperfect channel knowledge
IEEE Transactions on Information Theory
IEEE Transactions on Signal Processing
Robust MMSE precoding in MIMO channels with pre-fixed receivers
IEEE Transactions on Signal Processing
Statistical precoding with decision feedback equalization over a correlated MIMO channel
IEEE Transactions on Signal Processing
Transceiver design for dual-hop nonregenerative MIMO-OFDM relay systems under channel uncertainties
IEEE Transactions on Signal Processing
EURASIP Journal on Advances in Signal Processing
Statistical Transceiver Designs with ICI Reduction for MIMO-OFDM Systems
Wireless Personal Communications: An International Journal
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The treatment of channel state information (CSI) is critical in the design of MIMO systems. Accurate CSI at the transmitter is often not possible or may require high feedback rates. Herein, we consider the robust design of linear MIMO transceivers with perfect CSI either at the transmitter or at both sides of the link. The framework considers the design problem where the imperfect CSI consists of the channel mean and covariance matrix or, equivalently, the channel estimate and the estimation error covariance matrix. The robust transceiver design is based on a general cost function of the average MSEs as well as a design with individual MSE based constraints. In particular, a lower bound of the average MSE matrix is explored for the design when only the CSI at the transmitter is imperfect. Under different CSI conditions, the proposed robust transceivers exhibit a similar structure to the transceiver designs for perfect CSI, but with a different equivalent channel and/or noise covariance matrix.