Skip to main content
SpringerLink
Log in

Pre-Coding for MIMO Systems in Frequency-Selective Fading Channels

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Multiple input multiple output (MIMO) systems showed good utilization of channel characteristics. In MIMO systems multiple signals are transmitted using multiple antenna system. This provides each receiver the combined signals and hence, array processing techniques helps in reducing the effects of interference among them. In this paper we devise the use of pre-coded MIMO system to reduce the effects of frequency selectivity and hence, enhance the systems capacity and/or reduce the bit error rate. In this technique we introduce a temporal pre-coder on each antenna signal; this creates a deterministic multi-path signals similar to signals received when the channel is multi-path fading channel. The same antenna signal will arrive at each receiver forming orthogonal sub-space and the receiver will be simple add and delay of the received signals. Ant colony optimization is used in this paper to select the best pre-code. Results showed that we can diagonalize the channel matrix and practically eliminate the interference for frequency selective fading channel. Simulation of two transmitting two receiving antennas pre-coded MIMO system showed that the capacity can be doubled.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Gilhousen K.S., Jacobs I.M., Padovani R., Viterbi A.J., Weaver L.A. Jr., Wheatley C.E. (1991) On the capacity of cellular CDMA system. IEEE Transactions on Vehicular Technology 40(2): 303–312

    Article  Google Scholar 

  2. Viswanath P., Tse D. (2003) Sum capacity of the vector Gaussian broadcast channel and uplinkdownlink duality. IEEE Transactions on Information Theory 49(8): 1912–1921

    Article  MathSciNet  Google Scholar 

  3. Ayman F.N., Paulraj A., Kailath T. (1994) Capacity improvement with base-station antenna arrays in cellular CDMA. IEEE Transactions on Vehicular Technology 43: 691–698

    Article  Google Scholar 

  4. Vishwanath S., Jindal N., Goldsmith A. (2003) Duality, achievable rates and sum capacity of Gaussian MIMO broadcast channels. IEEE Transactions on Information Theory 49(10): 2658–2668

    Article  MathSciNet  Google Scholar 

  5. Choi W., Andrews J. G. (2007) Spatial multiplexing in cellular MIMO-CDMA systems with linear receivers: Outage probability and capacity. IEEE Transactions on Wireless Communications 6(7): 2612–2621

    Article  Google Scholar 

  6. Dong, W., Li, J., & Lu, Z. (2009). Parameter estimation for correlated MIMO channels with frequency-selective fading. Wireless Personal Communications. doi:10.1007/s11277-009-9664-9.

  7. Rosson P., Chenu-Tournier M., Noguet D. (2006) A Baseband demonstrator using multi antenna techniques to improve capacity of fixed broadband wireless access. Wireless Personal Communications 36: 317–338

    Article  Google Scholar 

  8. Burg, A., Rupp, M., Haene, S., Perels, D., Felber, N., & Fichtner, W. (2003). Low complexity frequency domain equalization of MIMO channels with applications to MIMO-CDMA systems. IEEE 58th Vehicular Technology Conference 1 (pp. 468–472). VTC 2003-Fall.

  9. Fan Y., Thompson J. (2007) MIMO configurations for relay channels: Theory and practice. IEEE Transactions on Wireless Communications 6(5): 1774–1786

    Article  Google Scholar 

  10. Harju L., Kuulusa M., Nurmi J. (2005) Flexible implementation of a WCDMA rake receiver. Journal of VLSI Signal Processing 39: 147–160

    Article  Google Scholar 

  11. Rashid F., Peh H. H., Manikas A. (2008) Diffused channel estimation and reception for cyclic prefix-free MC-CDMA arrayed-MIMO communication systems. International Journal of Wireless Information Networks (IJWIN) 15: 148–160

    Article  Google Scholar 

  12. Çolakoglu M. K., Safak M. (2007) On the MIMO channel capacity predicted by Kronecker and Müller models. Wireless Personal Communications 47: 91–100

    Article  Google Scholar 

  13. Busche H., Vanaev A., Rohling H. (2008) SVD-based MIMO precoding and equalization schemes for realistic channel knowledge: Design criteria and performance evaluation. Wireless Personal Communications 48: 347–359

    Article  Google Scholar 

  14. Proakis J. (2001) Digital communications (4th ed.). McGraw-Hill, New York

    Google Scholar 

  15. Lee W. C. (1998) Mobile communications engineering, theory and applications (2nd ed.). McGraw Hill, New York

    Google Scholar 

  16. Rappaport T. S. (1996) Wireless communications, principles and practice. Prentice-Hall, Englewood Cliffs, NJ

    Google Scholar 

  17. Simon M. K., Alouini M. S. (2005) Digital communication over fading channels (2nd ed.). Wiley, New York

    Google Scholar 

  18. Gershman A. B. & Sidiropoulos N. D. (Eds.). (2005). Space-time processing for MIMO communications. New York: Wiley.

    Google Scholar 

  19. Ho S.L., Yang S., Wong H.C., Cheng K.W.E., Ni G. (2005) An improved ant colony optimization algorithm and its application to electromagnetic evices designs. IEEE Transactions on Magnetics 41(5): 1764–1767

    Article  Google Scholar 

  20. Quevedo-Teruel O., Rajo-Iglesias E. (2006) Ant colony optimization in thinned array synthesis with minimum sidelobe level. IEEE Antennas and Wireless Propagation Letters 5: 349–352

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Electrical Engineering Department, The University of Jordan, Amman, Jordan

    Jamal S. Rahhal & Dia I. Abu-Al-Nadi

Authors
  1. Jamal S. Rahhal
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dia I. Abu-Al-Nadi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jamal S. Rahhal.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Rahhal, J.S., Abu-Al-Nadi, D.I. Pre-Coding for MIMO Systems in Frequency-Selective Fading Channels. Wireless Pers Commun 55, 591–605 (2010). https://doi.org/10.1007/s11277-009-9821-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-009-9821-1

Keywords

Search

Navigation