Optimum Receiver Design and Performance Analysis of Arbitrarily Correlated Rician Fading MIMO Channels With Imperfect Channel State Information

The error performance of different types of receivers over an arbitrarily correlated Rician fading MIMO channel is assessed by evaluating the decision metric and the pairwise error probability. The differences are in the way channel state information at the receiver (CSIR) is recovered. We consider: i) a genieaided receiver, based on the perfect knowledge of CSIR; ii) a mismatched receiver, based on the use of pilot-aided (imperfect) CSIR in the perfect-CSIR decision metric; iii) an optimum receiver, based on perfect channel distribution information at the receiver (CDIR), which performs jointly channel and data estimation. In this paper, the decision metric of the optimum receiver is derived, and an iterative algorithm is proposed to calculate it for sequential decoding schemes. The complexity of this iterative algorithm is analyzed and compare against the complexity of the mismatched receiver. Closed-form expressions are given for the pairwise error probabilities (PEPs) of the three receivers with arbitrarily correlated Rician fading. These expressions are further processed to obtain the asymptotic (in the SNR) PEPs, the diversity order, and the asymptotic power losses. Numerical results are presented to support the validity of this analysis and to assess the impact of power efficiency and CDIR estimation errors on the PEP versus the ¿b/N0 ratio.

[1]  E. Biglieri,et al.  Space-time decoding with imperfect channel estimation , 2003, IEEE Transactions on Wireless Communications.

[2]  Antonia Maria Tulino,et al.  Capacity-achieving input covariance for single-user multi-antenna channels , 2006, IEEE Transactions on Wireless Communications.

[3]  Robert W. Heath,et al.  Spatial multiplexing in correlated fading via the virtual channel representation , 2003, IEEE J. Sel. Areas Commun..

[4]  Giorgio Taricco,et al.  Transmission and Reception with Multiple Antennas: Theoretical Foundations , 2004, Found. Trends Commun. Inf. Theory.

[5]  Björn E. Ottersten,et al.  Asymptotic eigenvalue distributions and capacity for MIMO channels under correlated fading , 2004, IEEE Transactions on Wireless Communications.

[6]  Ernst Bonek,et al.  A stochastic MIMO channel model with joint correlation of both link ends , 2006, IEEE Transactions on Wireless Communications.

[7]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[8]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[9]  Andrea J. Goldsmith,et al.  Capacity limits of MIMO channels , 2003, IEEE J. Sel. Areas Commun..

[10]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[11]  Akbar M. Sayeed,et al.  Deconstructing multiantenna fading channels , 2002, IEEE Trans. Signal Process..

[12]  Bjorn Ottersten,et al.  Pilot-based Bayesian Channel Norm Estimation in Rayleigh Fading Multi-antenna Systems , 2008 .

[13]  Ran Gozali,et al.  Space-Time Codes for High Data Rate Wireless Communications , 2002 .

[14]  P. Spreij.  Probability and Measure , 1996 .

[15]  T. Gamelin.  Complex Analysis , 2001 .

[16]  Jack H. Winters,et al.  On the Capacity of Radio Communication Systems with Diversity in a Rayleigh Fading Environment , 1987, IEEE J. Sel. Areas Commun..

[17]  E. Masoud,et al.  Space-Time Block Coding for Wireless Communications , 2008 .

[18]  Giorgio Taricco,et al.  Optimum Receiver Design for Correlated Rician Fading MIMO Channels with Pilot-Aided Detection , 2007, IEEE Journal on Selected Areas in Communications.

[19]  Preben E. Mogensen,et al.  A stochastic MIMO radio channel model with experimental validation , 2002, IEEE J. Sel. Areas Commun..

[20]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[21]  Helmut Bölcskei,et al.  Outdoor MIMO wireless channels: models and performance prediction , 2002, IEEE Trans. Commun..

[22]  Sergey L. Loyka,et al.  Channel capacity of MIMO architecture using the exponential correlation matrix , 2001, IEEE Communications Letters.

[23]  Mikael Skoglund,et al.  Combining beamforming and orthogonal space-time block coding , 2002, IEEE Trans. Inf. Theory.

[24]  Babak Hassibi,et al.  How much training is needed in multiple-antenna wireless links? , 2003, IEEE Trans. Inf. Theory.