Exact BER analysis for M-QAM modulation with transmit beamforming under channel prediction errors

Significant throughput improvements can be obtained in multiple-input multiple-output (MIMO) fading channels by merging beamforming at the transmitter and maximal ratio combining (MRC) at the receiver. In general, accurate channel state information (CSI) is required to achieve these performance gains. In this paper, we analyze the impact of channel prediction error on the bit error rate (BER) of combined beamforming and MRC in slow Rayleigh fading channels. Exact closed-form BER expressions are obtained in terms of elementary functions. Numerical results show that imperfect CSI causes little BER degradation using channel prediction of moderate complexity.

[1]  Andrea J. Goldsmith,et al.  Adaptive Modulation for MIMO Beamforming under Average BER Constraints and Imperfect CSI , 2006, 2006 IEEE International Conference on Communications.

[2]  Sonia Aïssa,et al.  Closed-form expressions for the outage and ergodic Shannon capacity of MIMO MRC systems , 2005, IEEE Transactions on Communications.

[3]  David Gesbert,et al.  Guest editorial MIMO systems and applications. II , 2003, IEEE J. Sel. Areas Commun..

[4]  Antonia Maria Tulino,et al.  Random Matrix Theory and Wireless Communications , 2004, Found. Trends Commun. Inf. Theory.

[5]  Andrea J. Goldsmith,et al.  Adaptive Modulation for MIMO Multiplexing under Average BER Constraints and Imperfect CSI , 2006, 2006 IEEE International Conference on Communications.

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

[7]  A. Goldsmith,et al.  Variable-rate variable-power MQAM for fading channels , 1996, Proceedings of Vehicular Technology Conference - VTC.

[8]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[9]  David Gesbert,et al.  Guest editorial: MIMO systems and applications. 1 , 2003, IEEE J. Sel. Areas Commun..

[10]  Sergio Barbarossa,et al.  Guest Editorial Optimization of MIMO Transceivers for Realistic Communication Networks: Challenges and Opportunities , 2007, IEEE Journal on Selected Areas in Communications.

[11]  Georgios B. Giannakis,et al.  Optimal transmitter eigen-beamforming and space-time block coding based on channel correlations , 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

[12]  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.

[13]  Norman C. Beaulieu,et al.  Closed-form BER results for MRC diversity with channel estimation errors in Ricean fading channels , 2005, IEEE Transactions on Wireless Communications.

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

[15]  Joseph Lipka,et al.  A Table of Integrals , 2010 .

[16]  Sonia Aïssa,et al.  Generalized Performance Analysis of Adaptive PSAM-Based Transmit-Beamforming for Wireless MIMO systems , 2006, 2006 IEEE 63rd Vehicular Technology Conference.

[17]  Mohamed-Slim Alouini,et al.  Digital Communication over Fading Channels: Simon/Digital Communications 2e , 2004 .

[18]  Kjell Jørgen Hole,et al.  Impact of channel prediction on adaptive coded modulation performance in Rayleigh fading , 2004, IEEE Transactions on Vehicular Technology.

[19]  Mohamed-Slim Alouini,et al.  Some new results for integrals involving the generalized Marcum Q function and their application to performance evaluation over fading channels , 2003, IEEE Trans. Wirel. Commun..

[20]  John G. Proakis,et al.  Digital Communications , 1983 .