Skip to main content
Log in

Symbol Error Rate of MIMO MRC Systems over Time-Varying Fading Channels

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

The outdated channel state information (CSI) at the transmitter and receiver, which is resulted from time variation of channels, is considered in multiple-input multiple-output systems employing maximal ratio combining. Closed-form expressions for the cumulative distribution function of output signal-to-noise ratio and symbol error rate under time-varying channels are presented to evaluate the effect of outdated CSI. The analytical results are compared with Monte Carlo simulations and a good agreement is obtained.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. Foschini G. J., Gans M. J. (1998) On limits of wireless communications in a fading environment when using multiple antennas. Wireless Personal Communications 6(3): 311–335

    Article  Google Scholar 

  2. Dighe P.A., Mallik R.K., Jamuar S.S. (2003) Analysis of transmit-receive diversity in Rayleigh fading. IEEE Transactions on Communications 51(4): 694–703

    Article  Google Scholar 

  3. Kang M., Alouini M.S. (2004) A comparative study on the performance of MIMO MRC systems with and without cochannel interference. IEEE Transactions Communications 52(8): 1417–1425

    Article  Google Scholar 

  4. Chen Y., Tellambura C. (2005) Performance analysis of maximal ratio transmission with imperfect channel estimation. IEEE Communications Letters 9(4): 322–324

    Article  Google Scholar 

  5. Rui X.Y., Jin R.H., Geng J.P. (2007) Capacity analysis of MIMO MRC systems in correlated Rayleigh fading environments. Wireless Personal Communications 43(4): 1569–1576

    Article  Google Scholar 

  6. Kim, J. B., Stuber, G., & Li, Y(G.). (2005). Robust V-BLAST MIMO-OFDM channel estimators in time-varying channels using iterative Wiener filter. In Proc. IEEE 2005 Global Telecommunication Conference, Nov. 2005, pp. 3917–3921.

  7. Khalighi M.A., Boutros J.J. (2006) Semi-blind channel estimation using the EM algorithm in iterative MIMO APP detectors. IEEE Transactions on Wireless Communications 5(11): 3165–3173

    Article  Google Scholar 

  8. Khaled, N., Leus, G., Desset, C., & De Man, H. (2004). A robust joint linear precoding and decoding MMSE design for slowly time-varying MIMO channels. In Proc. IEEE ICASSP, May 2004, Vol. 4, pp. 485-488.

  9. Lebrun G., Ying T., (2001) MIMO transmission over a time-varying TDD channel using SVD. IEE Electronics Letters 37(22): 1363–1364

    Article  Google Scholar 

  10. Maaref A., Aïssa S. (2005) Closed-form expressions for the outage and ergodic Shannon capacity of MIMO MRC systems. IEEE Transactions Communications 53(7): 1092–1095

    Article  Google Scholar 

  11. Gradshteyn I.S., Ryzhik I.M. (2000) Table of integrals, series, and products (6th ed.). Academic, San Diego CA

    MATH  Google Scholar 

  12. Chen Y., Tellambura C. (2004) Distribution function of selection combiner output in equally correlated Rayleigh, Rician, and Nakagami-m fading channels. IEEE Transactiond Communications 52(11): 1948–1956

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xianyi Rui.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Rui, X., Yu, Y. Symbol Error Rate of MIMO MRC Systems over Time-Varying Fading Channels. Wireless Pers Commun 56, 669–674 (2011). https://doi.org/10.1007/s11277-009-9838-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-009-9838-5

Keywords

Navigation