A Markov-Kronecker model for analysis of closed-loop MIMO systems

Closed-loop MIMO systems have gained much interest recently due to their ability in improving performance. Although many spatial-temporal MIMO channel models have been proposed, system limitations are not considered and the effects of a time varying channel on MIMO systems with a realistic feedback delay are also not available in an analytically tractable form. In this letter, we propose a composite model where both propagation and system factors are considered thus providing a simple and analytically tractable model for the performance evaluation and design of closed-loop MIMO systems

[1]  Gordon L. Stuber,et al.  Principles of Mobile Communication , 1996 .

[2]  K. Sakaguchi,et al.  A robust adaptive MIMO eigenmode transmission system with ZF beamspace interference canceller , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[3]  Vinko Erceg.  IEEE P802.11 Wireless LANs TGn Channel Models , 2004 .

[4]  Petre Stoica,et al.  Generalized linear precoder and decoder design for MIMO channels using the weighted MMSE criterion , 2001, IEEE Trans. Commun..

[5]  Rick S. Blum,et al.  On optimum MIMO with antenna selection , 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

[6]  K. Pedersen,et al.  A stochastic multiple-input-multiple-output radio channel model for evaluation of space-time coding algorithms , 2000, Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152).