Wireless Personal Communications

, Volume 68, Issue 2, pp 401–416 | Cite as

Successive User Scheduling Schemes for a Multiuser MIMO System Employing Generalized Channel Inversion

  • Feng WangEmail author
  • Marek E. Bialkowski
  • Konstanty S. Bialkowski


Generalized channel inversion (GCI) is a precoding technique for multiuser multiple-input multiple-output system. While producing each user’s precoding matrix, GCI takes into account noise and thus it is more robust compared with alternative techniques such as block diagonalization technique in terms of sum rate capacity and frame error rate. In this paper, two suboptimal multiuser scheduling schemes for GCI are proposed that by scheduling a subset of mobile users nearly maximize the sum rate capacity. They employ an iterative approach involving a number of search steps. At each step, unselected mobile users are evaluated one by one, and only one of them is chosen according to given criteria. It is shown via computer simulations that the proposed schemes are capable of achieving a large portion of the sum rate capacity that is offered by an exhaustive search. The performance of the proposed multiuser scheduling schemes is evaluated when the antenna mutual coupling effects are taken into account at the mobile users’ sides. Numerical results reveal that the presence of antenna mutual coupling can result in an increased sum rate capacity when the array inter-element spacing is in the range of 0.3–0.4 wavelength.


MIMO Generalized channel inversion Multiuser scheduling Sum rate capacity Mutual coupling 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Gesbert D., Kountouris M., Heath R. W. Jr., Chae C., Salzer T. (2007) Shifting the MIMO paradigm. Signal Processing Magazine 24(5): 36–46CrossRefGoogle Scholar
  2. 2.
    Weingarten W., Steinberg Y., Shamai S. (2006) The capacity region of the Gaussian multiple-input multiple-output broadcast channel. IEEE Transactions on Information Theory 52(9): 3936–3964MathSciNetCrossRefGoogle Scholar
  3. 3.
    Peel C. B., Hochwald B. M., Swindlehurst A. L. (2005) A vector-perturbation technique for near-capacity multiantenna multiuser communications-part I: channel inversion and regularization. IEEE Transactions on Communications 53(1): 195–202CrossRefGoogle Scholar
  4. 4.
    Spencer Q. H., Swindlehurst A. L., Haardt M. (2004) Zero-forcing methods for downlink spatial multiplexing in multi-user MIMO channels. IEEE Transactions on Information Theory 42(3): 461–471MathSciNetGoogle Scholar
  5. 5.
    Choi L. U., Murch R. D. (2004) A transmit preprocssing technique for multi-user MIMO systems using a decomposition approch. IEEE Transactions on Wireless Communications 3(1): 20–24CrossRefGoogle Scholar
  6. 6.
    Sigdel S., Krzymien W. A. (2008) Antenna and user subset selection in downlink spatial mutiplexing in multiuser MIMO channels. Wireless Personal Communications 52(1): 227–240CrossRefGoogle Scholar
  7. 7.
    Sung H., Lee S., Lee I. (2009) Generalized channel inversion methods for multiuser MIMO systems. IEEE Transactions on Communications 57(11): 3489–3499CrossRefGoogle Scholar
  8. 8.
    Lee, H., Lee, K., Hochwald, B. M., & Lee, I. (2008). Regularized channel inversion for multiple-antenna users in multiuser MIMO downlink. In Proceedings of IEEE international communication conference (pp. 3501–3505).Google Scholar
  9. 9.
    Svantesson, T., & Ranheim, A. (2001). Mutual coupling effects on the capacity of multu-element antenna system. In Proceedings of IEEE international conference on acoustics, speech, and signal processing (pp. 2485–2488).Google Scholar
  10. 10.
    Bialkowski M. E., Uthansakul P., Bialkowski K., Durrani S. (2006) Investigating the performance of MIMO systems from an electromagenetic perspective. Microwave and Optical Technology Letters 48(7): 1233–1238CrossRefGoogle Scholar
  11. 11.
    Fletcher P. N., Dean M., Nix A. R. (2003) Mutual coupling in multi-element array antennas and its influence on MIMO channel capacity. Electronics Letters 39(4): 342–344CrossRefGoogle Scholar
  12. 12.
    Wang F., Bialkowski M. E., Liu X. (2010) Performance of block diagonalization broadcasting scheme for multiuser MIMO system operating in presence of spatial correlation and mutual coupling. International Journal of Communications, Network and System Science 3(3): 266–272CrossRefGoogle Scholar
  13. 13.
    Wang, F., & Bialkowski, M. E. (2010). Performance of succesive broadcasting scheme for a multiuser downlink MIMO system operating under mutual coupling conditions. In Proceedings of IEEE international conference on signal processing and communications systems (pp. 1–4).Google Scholar
  14. 14.
    Balanis C. A. (1997) Antenna theory: Analysis and design. Wiley, New YorkGoogle Scholar
  15. 15.
    Heath R. W. Jr., Sandhu S., Paulraj A. (2001) Antenna selection for spatial multiplexing systems with linear receivers. IEEE Communications Letters 5(4): 142–144CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC. 2011

Authors and Affiliations

  • Feng Wang
    • 1
    Email author
  • Marek E. Bialkowski
    • 1
  • Konstanty S. Bialkowski
    • 1
  1. 1.School of Information Technology and Electrical EngineeringThe University of QueenslandBrisbaneAustralia

Personalised recommendations