Precoder Design for BICM-MIMO Systems Under Channel Estimation Error

If properly designed, the use of a linear precoder can achieve the maximum coding gain and diversity order in bit-interleaved coded modulation with multiple-input multiple-output systems. However, such maximum coding gain and diversity order are compromised under the practical scenario of having imperfect channel state information (CSI) at the receiver. To alleviate the impact of imperfect CSI on the coding gain and diversity order, joint linear precoder and training pattern are designed in this paper. The design is carried out by considering both the pairwise error probability and the mean square error of the channel estimator. The effectiveness of the proposed design is illustrated by comparing its performance with the performance obtained when only the training pattern is designed for an precoder optimized under the perfect CSI. In particular, simulation results show that a $$1.5$$1.5 dB gain is achieved by the proposed design.

[1]  Gerd Ascheid,et al.  Asymptotic BER Analysis for MIMO-BICM with MMSE Detection and Channel Estimation , 2011, 2011 IEEE International Conference on Communications (ICC).

[2]  Bernie Mulgrew,et al.  Proceedings IEEE International Conference on Communications , 1989 .

[3]  Matthew C. Valenti,et al.  Iterative channel estimation and decoding of pilot symbol assisted turbo codes over flat-fading channels , 2001, IEEE J. Sel. Areas Commun..

[4]  Zohreh Andalibi,et al.  Asymptotic performance analysis of precoded BICM-MIMO under channel estimation errors , 2012, 2012 IEEE International Conference on Communications (ICC).

[5]  D. Kraus,et al.  Calculation of moments of complex Wishart and complex inverse Wishart distributed matrices , 2000 .

[6]  Zohreh Andalibi,et al.  Training design for precoded BICM-MIMO systems in block-fading channels , 2012, EURASIP J. Wirel. Commun. Netw..

[7]  Loïc Brunel,et al.  Space–Time Coding Techniques With Bit-Interleaved Coded Modulations for MIMO Block-Fading Channels , 2007, IEEE Transactions on Information Theory.

[8]  Raymond Knopp,et al.  New space-time coding techniques with bit interleaved coded modulations , 2004 .

[9]  Mikael Coldrey,et al.  Training-Based MIMO Systems—Part I: Performance Comparison , 2007, IEEE Transactions on Signal Processing.

[10]  Nicolas Gresset,et al.  New space-time coding techniques with bit interleaved coded modulations , 2004 .

[11]  Brian M. Sadler,et al.  Optimal insertion of pilot symbols for transmissions over time-varying flat fading channels , 2004, IEEE Transactions on Signal Processing.

[12]  John M. Cioffi,et al.  On the distribution of SINR for the MMSE MIMO receiver and performance analysis , 2006, IEEE Transactions on Information Theory.

[13]  Giorgio Taricco.  Optimum Receiver Design and Performance Analysis of Arbitrarily Correlated Rician Fading MIMO Channels With Imperfect Channel State Information , 2010, IEEE Transactions on Information Theory.