Feedback quantization for linear precoded spatial multiplexing
EURASIP Journal on Advances in Signal Processing
Limited feedback beamforming over temporally-correlated channels
IEEE Transactions on Signal Processing
Conjugate gradient eigenstructure tracking for adaptive spectralestimation
IEEE Transactions on Signal Processing
Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels
IEEE Transactions on Signal Processing
A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach
IEEE Transactions on Wireless Communications
Efficient feedback methods for MIMO channels based on parameterization
IEEE Transactions on Wireless Communications
High SNR Analysis for MIMO Broadcast Channels: Dirty Paper Coding Versus Linear Precoding
IEEE Transactions on Information Theory
Feedback assisted transmission subspace tracking for MIMO systems
IEEE Journal on Selected Areas in Communications
Limited feedback-based block diagonalization for the MIMO broadcast channel
IEEE Journal on Selected Areas in Communications
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Block diagonalization (BD) is a low-complexity linear precoding scheme for multiuser MIMO (MU-MIMO) down-link, which can completely eliminate multi-user interference with perfect channel state information (CSI) at the transmitter. Under the assumption of block fading channels, BD with fixed amount of feedback is interference-limited. In this paper, we first introduce a low-complexity CSI feedback scheme, by exploiting the temporal correlation of practical channels, to improve the efficiency of feedback. Then, a modified BD algorithm is proposed to further utilize the channel correlation in time domain. Combined with the CSI feedback scheme, the modified BD algorithm handles the interference-limiting problem in a wide range of SNR with a fixed, small number of feedback bits.