Convex Optimization
IEEE Transactions on Signal Processing
Adaptive MIMO-OFDM based on partial channel state information
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing - Part I
Transmitter optimization and optimality of beamforming for multiple antenna systems
IEEE Transactions on Wireless Communications
Combining beamforming and orthogonal space-time block coding
IEEE Transactions on Information Theory
On the capacity of multiuser wireless channels with multiple antennas
IEEE Transactions on Information Theory
Iterative water-filling for Gaussian vector multiple-access channels
IEEE Transactions on Information Theory
Space-time communication for OFDM with implicit channel feedback
IEEE Transactions on Information Theory
Capacity limits of MIMO channels
IEEE Journal on Selected Areas in Communications
Feedback reduction in uplink MIMO OFDM systems by chunk optimization
EURASIP Journal on Advances in Signal Processing
Worst-case robust MIMO transmission with imperfect channel knowledge
IEEE Transactions on Signal Processing
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Robust MMSE precoding in MIMO channels with pre-fixed receivers
IEEE Transactions on Signal Processing
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We consider a multi-input multi-output (MIMO) multiple access channel (MAC) where the base station has perfect channel state information (CSI), while the mobiles have only partial CSI. The statistical CSI at the mobiles can be obtained either by implicit (during downlink transmission) or explicit (via a low rate control channel) feedback. The base applies a linear multiuser MMSE receiver and thus the optimization criteria is the average sum MSE. We optimize the average sum MSE with implicit and explicit mean- or covariance-feedback under individual power constraints. The optimal transmit directions of a user corresponds to the eigenvectors of his channel mean or correlation matrix. The optimal power allocation is characterized in terms of its beamforming range. Finally, the gain due to covariance feedback and all theoretical results are illustrated by numerical simulation.