Performance comparisons of MIMO techniques with application to WCDMA systems
EURASIP Journal on Applied Signal Processing
A diversity guarantee and SNR performance for unitary limited feedback MIMO systems
EURASIP Journal on Advances in Signal Processing
Link Performance of an ESPAR-Antenna Array in Rich Scattering and Clustered Channels
Wireless Personal Communications: An International Journal
Algebraic number precoding for space-time block codes
IEEE Transactions on Information Theory
The expected complexity of sphere decoding algorithm in spatial correlated MIMO channels
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
IEEE Transactions on Information Theory
A virtual MIMO channel representation and applications
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume I
Cellular Downlink Performance with Covariance-CSIT-Based MIMO Precoding
Wireless Personal Communications: An International Journal
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Spatial multiplexing techniques send independent data streams on different transmit antennas to maximally exploit the capacity of multiple-input multiple-output (MIMO) fading channels. Most existing multiplexing techniques are based on an idealized MIMO channel model representing a rich scattering environment. Realistic channels corresponding to scattering clusters exhibit correlated fading and can significantly compromise the performance of such techniques. In this paper, we study the design and performance of spatial multiplexing techniques based on a virtual representation of realistic MIMO fading channels. Since the nonvanishing elements of the virtual channel matrix are uncorrelated, they capture the essential degrees of freedom in the channel and provide a simple characterization of channel statistics. In particular, the pairwise-error probability (PEP) analysis for correlated channels is greatly simplified in the virtual representation. Using the PEP analysis, various precoding schemes are introduced to improve performance in virtual channels. Unitary precoding is proposed to provide robustness to unknown channel statistics. Nonunitary precoding techniques are proposed to exploit channel structure when channel statistics are known at the transmitter. Numerical results are presented to illustrate the attractive performance of the precoding techniques.