Error probability for MIMO zero-forcing receiver with adaptive power allocation in the presence of imperfect channel state information

Link adaptation allows the transmitter to adapt to changing channel conditions. Critical to the design of link adaptation is the accuracy of channel state information at the transmitter. In this paper, we investigate the effect of imperfect channel state information and feedback delay on the performance of a multiple-input multiple-output zero-forcing receiver with adaptive power allocation. A closed-form approximate upper bound on bit error rate is derived for M-ary phase shift keying and M-ary quadrature amplitude modulation and it is valid for arbitrary numbers of transmit and receive antennas. Comparison with Monte Carlo simulations is also provided, showing that the results derived from this analytical bound are useful for system design

[1]  Robert W. Heath,et al.  Transmit selection in spatial multiplexing systems , 2002, IEEE Communications Letters.

[2]  Hung Tuan Nguyen,et al.  Capacity and performance of MIMO systems under the impact of feedback delay , 2004, 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754).

[3]  Wai Ho Mow,et al.  On the Performance of the MIMO Zero-Forcing Receiver in the Presence of Channel Estimation Error , 2007, IEEE Transactions on Wireless Communications.

[4]  Robert W. Heath,et al.  Adaptive modulation and MIMO coding for broadband wireless data networks , 2002, IEEE Commun. Mag..

[5]  Georgios B. Giannakis,et al.  How accurate channel prediction needs to be for transmit-beamforming with adaptive modulation over Rayleigh MIMO channels? , 2004, IEEE Transactions on Wireless Communications.

[6]  Robert W. Heath,et al.  What is the value of limited feedback for MIMO channels? , 2004, IEEE Communications Magazine.

[7]  Chintha Tellambura,et al.  Performance analysis of maximum ratio transmission with imperfect channel estimation , 2005, IEEE Communications Letters.

[8]  Dongweon Yoon,et al.  On the general BER expression of one- and two-dimensional amplitude modulations , 2002, IEEE Trans. Commun..

[9]  Jianhua Lu,et al.  M-PSK and M-QAM BER computation using signal-space concepts , 1999, IEEE Trans. Commun..

[10]  Volker Jungnickel,et al.  Bit error rates for a MIMO system in Rayleigh and Rician channels , 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

[11]  Daniel P. Palomar,et al.  A Unified Framework for Communications through MIMO Channels , 2003 .

[12]  Khaled Ben Letaief,et al.  Antenna systems for broadband wireless access , 2002, IEEE Commun. Mag..

[13]  Antonio Pascual-Iserte,et al.  Robust power allocation for minimum BER in a SISO-OFDM system , 2003, IEEE International Conference on Communications, 2003. ICC '03..

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

[15]  Cheng Wang,et al.  Closed-Form Outage Probability and BER of MIMO Zero-Forcing Receiver in the Presence of Imperfect CSI , 2006, 2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications.

[16]  John M. Cioffi,et al.  Joint Tx-Rx beamforming design for multicarrier MIMO channels: a unified framework for convex optimization , 2003, IEEE Trans. Signal Process..