Matrix analysis
Space-Time Block Coding for Wireless Communications
Space-Time Block Coding for Wireless Communications
Convex Optimization
Optimizations of a MIMO Relay Network
IEEE Transactions on Signal Processing - Part II
IEEE Transactions on Signal Processing
MIMO Relaying With Linear Processing for Multiuser Transmission in Fixed Relay Networks
IEEE Transactions on Signal Processing
Statistically Robust Design of Linear MIMO Transceivers
IEEE Transactions on Signal Processing - Part I
Capacity scaling laws in MIMO relay networks
IEEE Transactions on Wireless Communications
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In this paper, we address the robust linear transceiver design for dual-hop amplify-and-forward (AF) MIMO relay systems, where both transmitters and receivers have imperfect channel state information (CSI). With the statistics of channel estimation errors in the two hops being Gaussian, we formulate the robust linear-minimum-mean-square-error (LMMSE) transceiver design problem using the Bayesian framework, and derive a closed-form solution. Simulation results show that the proposed algorithm reduces the sensitivity of the relay system to channel estimation errors, and performs better than the algorithm using estimated channel only.