Efficient closed-loop schemes for MIMO-OFDM-based WLANs
EURASIP Journal on Applied Signal Processing
Enhanced MIMO wireless video communication using multiple-description coding
Image Communication
A cross-layer approach for maximizing visual entropy using closed-loop downlink MIMO
EURASIP Journal on Advances in Signal Processing
Transceiver design based on blockwise uniform channel decomposition for coded MIMO systems
IEEE Transactions on Wireless Communications
Downlink assisted uplink zero-forcing for TDD multiuser MIMO systems
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Eigen-beamforming with delayed feedback and channel prediction
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
Downlink assisted uplink zero forcing for TDD multiuser MIMO systems
EURASIP Journal on Wireless Communications and Networking - 3GPP LTE and LTE Advanced
Zero-forcing DFE transceiver design over slowly time-varying MIMO channels using ST-GTD
IEEE Transactions on Signal Processing
Coordinated multi-cell systems: carrier frequency offset estimation and correction
IEEE Journal on Selected Areas in Communications - Special issue on cooperative communications in MIMO cellular networks
EURASIP Journal on Wireless Communications and Networking
Crystallized rate regions for MIMO transmission
EURASIP Journal on Wireless Communications and Networking - Special issue on signal processing-assisted protocols and algorithms for cooperating objects and wireless sensor networks
Bidirectional MIMO channel tracking based on PASTd and performance evaluation
EURASIP Journal on Advances in Signal Processing - Special issue on advanced equalization techniques for wireless communications
Probabilistic behavior analysis of MIMO fading channels under geometric mean decomposition
Journal of Electrical and Computer Engineering - Special issue on Implementations of Signal-Processing Algorithms for OFDM Systems
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The performance of a system using singular value decomposition (SVD) over a multiple-input multiple-output (MIMO) channel is dependent on the accuracy of the channel state information (CSI) at the transmitter and the receiver. In time division duplex (TDD) systems, the channel is reciprocal, hence the CSI can be retrieved through estimation of pilot symbols and applied to transmission. However, for a time-varying channel, the estimated CSI at the transmitter is incorrect due to an inherent delay between the estimation of the CSI and the transmission of data. A typical system employing SVD suffers degradation in capacity when incorrect CSI is used to transmit data. This paper proposes a new linear processing architecture, which reduces the effect of incorrect CSI at the transmitter. No additional pilot signals are required. It is shown at terminal velocity of 2 m.s-1 for the Hiperlan 2 standards, that the proposed architecture has a capacity of one bit lower than the theoretical channel capacity. At low velocities, this architecture outperforms (in terms of capacity) simpler systems that do not require CSI at the transmitter.