Advertisement

Downlink Multiuser MIMO-OFDM Systems

  • Sebastian Aust
  • Andreas Ahrens
  • Francisco Cano-Broncano
  • César Benavente-Peces
Part of the Communications in Computer and Information Science book series (CCIS, volume 314)

Abstract

Multiple input multiple output (MIMO) techniques for wireless communication systems have attracted in the last years huge research activity due to the possibility of improving the link performance by increasing the channel capacity and decreasing the bit-error rate (BER). Due to the strongly increasing demand in high-data rate transmission systems, frequency non-selective MIMO links have reached a state of maturity and frequency selective MIMO links are in the focus of interest. In this field, the combination of MIMO transmission and OFDM (orthogonal frequency division multiplexing) can be considered as an essential part of fulfilling the requirements of future generations of wireless systems. However, single-user scenarios have reached a state of maturity. By contrast multiple users’ scenarios require substantial further research, where in comparison to ZF (zero-forcing) multiuser transmission techniques, the individual user’s channel characteristics are taken into consideration in this contribution. Furthermore, the use of multiple antennas both at the transmit and the receive front-ends introduces a correlation effect between the antennas due to their proximity producing interference. In consequence, the BER increases and the channel capacity decreases. The goal of the present contribution is to analyze the system performance under different spatial antennas distributions for Multiuser MIMO-OFDM systems in correlated and non-correlated fading channels. The performed joint optimization of the number of activated MIMO layers and the number of transmitted bits per subcarrier along with the appropriate allocation of the transmit power shows that not necessarily all user-specific MIMO layers per subcarrier have to be activated in order to minimize the overall BER under the constraint of a given fixed data throughput.

Keywords

Multiple-Input Multiple-Output System Orthogonal Frequency Division Multiplexing Singular-value Decomposition Bit Allocation Power Allocation Wireless Transmission 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Bingham, J.A.C.: ADSL, VDSL, and Multicarrier Modulation. Wiley, New York (2000)CrossRefGoogle Scholar
  2. 2.
    van Nee, R., Prasad, R.: OFDM for Wireless Multimedia Communications. Artech House, Boston and London (2000)Google Scholar
  3. 3.
    Hwang, T.J., Hwang, H.S., Balik, H.K.: Adaptive OFDM with Channel Predictor over Frequency-Selective and Rapid Fading Channel. In: Personal, Indoor and Mobile Radio Communications (PIMRC), Bejing (China), September 7-10, pp. 859–863 (2010)Google Scholar
  4. 4.
    Zheng, L., Tse, D.N.T.: Diversity and Multiplexing: A Fundamental Tradeoff in Multiple-Antenna Channels. IEEE Transactions on Information Theory 49(5), 1073–1096 (2003)zbMATHCrossRefGoogle Scholar
  5. 5.
    Kühn, V.: Wireless Communications over MIMO Channels – Applications to CDMA and Multiple Antenna Systems. Wiley, Chichester (2006)CrossRefGoogle Scholar
  6. 6.
    Zhou, Z., Vucetic, B., Dohler, M., Li, Y.: MIMO Systems with Adaptive Modulation. IEEE Transactions on Vehicular Technology 54(5), 1073–1096 (2005)CrossRefGoogle Scholar
  7. 7.
    Raleigh, G.G., Cioffi, J.M.: Spatio-Temporal Coding for Wireless Communication. IEEE Transactions on Communications 46(3), 357–366 (1998)CrossRefGoogle Scholar
  8. 8.
    Raleigh, G.G., Jones, V.K.: Multivariate Modulation and Coding for Wireless Communication. IEEE Journal on Selected Areas in Communications 17(5), 851–866 (1999)CrossRefGoogle Scholar
  9. 9.
    Ahrens, A., Benavente-Peces, C.: Modulation-Mode and Power Assignment for SVD-assisted and Iteratively Detected Downlink Multiuser MIMO Systems. In: International Conference on Wireless Information Networks and Systems (WINSYS), Athens (Greece), July 26-28, pp. 107–114 (2010)Google Scholar
  10. 10.
    Liu, W., Yang, L.L., Hanzo, L.: SVD Assisted Joint Transmitter and Receiver Design for the Downlink of MIMO Systems. In: IEEE 68th Vehicular Technology Conference (VTC), Calgary, pp. 1–5 (2008)Google Scholar
  11. 11.
    Bahai, A.R.S., Saltzberg, B.R.: Multi-Carrier Digital Communications – Theory and Applications of OFDM. Kluwer Academic/Plenum Publishers, Dordrecht, New York (1999)Google Scholar
  12. 12.
    Aust, S., Ahrens, A., Benavente-Peces, C.: Modulation-Mode Assignment in SVD-aided Downlink Multiuser MIMO-OFDM Systems. International Journal of Electronics and Telecommunications (JET) 57(4), 459–464 (2011)CrossRefGoogle Scholar
  13. 13.
    Hanzo, L., Keller, T.: OFDM and MC-CDMA. Wiley, New York (2006)CrossRefGoogle Scholar
  14. 14.
    Ahrens, A., Lange, C.: Modulation-Mode and Power Assignment in SVD-equalized MIMO Systems. Facta Universitatis (Series Electronics and Energetics) 21(2), 167–181 (2008)CrossRefGoogle Scholar
  15. 15.
    Proakis, J. G.: Digital Communications. McGraw-Hill, Boston (2000)Google Scholar
  16. 16.
    Wong, C.Y., Cheng, R.S., Letaief, K.B., Murch, R.D.: Multiuser OFDM with Adaptive Subcarrier, Bit, and Power Allocation. IEEE Journal on Selected Areas in Communications 17(10), 1747–1758 (1999)CrossRefGoogle Scholar
  17. 17.
    Pätzold, M.: Mobile Fading Channels. Wiley, Chichester (2002)CrossRefGoogle Scholar
  18. 18.
    Krongold, B.S., Ramchandran, K., Jones, D.L.: Computationally Efficient Optimal Power Allocation Algorithms for Multicarrier Communications Systems. IEEE Transactions on Communications 48(1), 23–27 (2000)CrossRefGoogle Scholar
  19. 19.
    Jang, J., Lee, K.B.: Transmit Power Adaptation for Multiuser OFDM Systems. IEEE Journal on Selected Areas in Communications 21(2), 171–178 (2003)CrossRefGoogle Scholar
  20. 20.
    Park, C.S., Lee, K.B.: Transmit Power Allocation for BER Performance Improvement in Multicarrier Systems. IEEE Transactions on Communications 52(10), 1658–1663 (2004)CrossRefGoogle Scholar
  21. 21.
    Durgin, G.D., Rappaport, T.S.: Effects of Multipath Angular Spread on the Spatial Cross-Correlation of Received Voltage Envelopes. In: IEEE Vehicular Technology Conference (VTC), Houston, Texas, USA, May 16-20, pp. 996–1000 (1999)Google Scholar
  22. 22.
    Zelst, A. V., Hammerschmidt, J. S.: A Single Coefficient Spatial Correlation Model for Multiple-Input Multiple-Output (MIMO) Radio Channels. In: 27th General Assembly of the International Union of Radio Science, Maastricht, August 02 (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Sebastian Aust
    • 1
  • Andreas Ahrens
    • 1
  • Francisco Cano-Broncano
    • 2
  • César Benavente-Peces
    • 2
  1. 1.Department of Electrical Engineering and Computer Science, Communications Signal Processing GroupHochschule Wismar, University of Technology, Business and DesignWismarGermany
  2. 2.E.U.I.T de TelecomunicaciónUniversidad Politécnica de MadridMadridSpain

Personalised recommendations