Topics in matrix analysis
Wireless Communications
Fundamentals of wireless communication
Fundamentals of wireless communication
MIMO transceiver design via majorization theory
Foundations and Trends in Communications and Information Theory
Downlink assisted uplink zero forcing for TDD multiuser MIMO systems
EURASIP Journal on Wireless Communications and Networking - 3GPP LTE and LTE Advanced
Joint transceiver design for MIMO communications using geometric mean decomposition
IEEE Transactions on Signal Processing - Part I
Design of block transceivers with decision feedback detection
IEEE Transactions on Signal Processing
BER minimized OFDM systems with channel independent precoders
IEEE Transactions on Signal Processing
Minimum BER block precoders for zero-forcing equalization
IEEE Transactions on Signal Processing
Uniform channel decomposition for MIMO communications
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
MIMO transmission over a time-varying channel using SVD
IEEE Transactions on Wireless Communications
Capacity of multiple-antenna systems with both receiver and transmitter channel state information
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Array gain and capacity for known random channels with multiple element arrays at both ends
IEEE Journal on Selected Areas in Communications
Impact of Pilot Design on Achievable Data Rates in Multiple Antenna Multiuser TDD Systems
IEEE Journal on Selected Areas in Communications
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This paper considers the optimization of transceivers with decision feedback equalizers (DFE) for slowly time-varying memoryless multi-input multi-output (MIMO) channels. The data vectors are grouped into space-time blocks (ST-blocks) for the spatial and temporal precoding to take advantage of the diversity offered by time-varying channels. The space-time generalized triangular decomposition (ST-GTD) is proposed for application in time-varying channels. Under the assumption that the instantaneous channel state information at the transmitter (CSIT) and receiver (CSIR), and the channel prediction are available, we also propose the space-time geometric mean decomposition (ST-GMD) system based on ST-GTD. Under perfect channel prediction, the system minimizes both the arithmetic MSE at the feedback detector, and the average un-coded bit error rate (BER) in moderate high signal to noise ratio (SNR) region. For practical applications, a novel ST-GTD based system which does not require channel prediction but shares the same asymptotic BER performance with the ST-GMD system is also proposed. At the moderate high SNR region, our analysis and numerical results show that all the proposed systems have better BER performance than the conventional GMD-based systems over time-varying channels; the average BERs of the proposed systems are nonincreasing functions of the ST-block size.