On the Gaussian MIMO relay channel with full channel state information
IEEE Transactions on Signal Processing
Minimum BER linear MIMO transceivers with adaptive number of substreams
IEEE Transactions on Signal Processing
On the impact of uplink scheduling on intercell interference variation in MIMO OFDM systems
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
A fast encoding algorithm for a MIMO system with finite-bit feedback
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
Simplified maximum-likelihood precoder selection for limited feedback spatial multiplexing systems
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Transmit precoding for MIMO systems with partial CSI and discrete-constellation inputs
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Link adaptation in linearly precoded closed-loop MIMO-OFDM systems with linear receivers
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Limited feedback for temporally correlated MIMO channels with other cell interference
IEEE Transactions on Signal Processing
Differential feedback of MIMO channel gram matrices based on geodesic curves
IEEE Transactions on Wireless Communications
Multimode transmission in network MIMO downlink with incomplete CSI
EURASIP Journal on Advances in Signal Processing - Special issue on cooperative MIMO multicell networks
Efficient QR-Based Multi-Mode Precoding for Limited Feedback Multi-User MIMO Systems
Wireless Personal Communications: An International Journal
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Multiple-input multiple-output (MIMO) wireless systems obtain large diversity and capacity gains by employing multielement antenna arrays at both the transmitter and receiver. The theoretical performance benefits of MIMO systems, however, are irrelevant unless low error rate, spectrally efficient signaling techniques are found. This paper proposes a new method for designing high data-rate spatial signals with low error rates. The basic idea is to use transmitter channel information to adaptively vary the transmission scheme for a fixed data rate. This adaptation is done by varying the number of substreams and the rate of each substream in a precoded spatial multiplexing system. We show that these substreams can be designed to obtain full diversity and full rate gain using feedback from the receiver to transmitter. We model the feedback using a limited feedback scenario where only finite sets, or codebooks, of possible precoding configurations are known to both the transmitter and receiver. Monte Carlo simulations show substantial performance gains over beamforming and spatial multiplexing.