Skip to main content
Log in

User Selection Criteria for Uplink Spatial Multiplexing MIMO Systems

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

We study in this paper multiuser uplink scheduling algorithms for Multiple-Input Multiple-Output (MIMO) systems, where the multiusers compete for the MIMO Channel and the scheduler selects one user at a time based on a certain criterion. Then the selected user spatially multiplexes his data over the transmit antennas. This spatial multiplexing (SM) scheme provides high data rates while the multiuser diversity obtained from scheduling improves the performance of the uplink system. At the receiver, the Vertical-Bell-Labs LAyered Space Time architecture (V-BLAST) is used to detect the information layers. The main contribution of this paper is proposing and comparing the performance of several scheduling criteria for MIMO uplink scheduling. In addition, novel V-BLAST capacity bounds based on random matrix theory is presented. Furthermore, we investigate suboptimal schedulers and compare their performance. The main results of this study show that the scheduler that maximizes the optimal MIMO capacity doesn’t work well for a V-BLAST system. Instead, the optimal scheduler that maximizes the V-BLAST capacity is derived and analyzed. In addition, we look into scheduling for SM with sphere decoding and we find that in this case, using MIMO capacity as the scheduling criterion performs the best.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

References

  1. Knopp, R., & Humblet, P. (1995). Information capacity and power control in single cell multiuser communications. In Proceedings of the IEEE international computer conference (ICC’95), Seattle, WA.

  2. Tse, D. N. C. (1997). Optimal power allocation over parallel Gaussian channels. In Proceedings of international symposium on information theory. Ulm, Germany.

  3. Heath, Jr., R. W., Airy, M., & Paulraj, A. J. (2001). Multiuser diversity for MIMO wireless systems with linear receivers. In Signal, systems and computers 2001, conference record of the thirty-fifth asilomar conference on, vol. 2, pp. 1194–1199.

  4. Airy, M., Shakkattai, S., & Heath, Jr., R. W. (2003). Spatially greedy scheduling in multi-user MIMO wireless systems. In Signals, systems and computers, 2003. Conference record of the thirty-seventh asilomar conference on, vol. 1, pp. 982–986.

  5. Wang, L.-C., & Yeh, C.-J. (2010). Scheduling for multiuser MIMO broadcast systems: Transmit or receive beamforming? IEEE Wireless Communications, 9(9), 2779–2791.

    Article  Google Scholar 

  6. Pan, C.-H., & Lee, T.-S. (2013). Efficient QR-based multi-mode precoding for limited feedback multi-user MIMO systems. Wireless Personal Communications, Published Online, pp. 1–19.

  7. Gozali, R., Buehrer, R. M., & Woerner, B. D. (2003). The impact of multiuser diversity on space-time block coding. IEEE Communications Letters, 7(5), 213–215.

    Article  Google Scholar 

  8. Lau, V.K.N., Liu, Y., & Chen, T.A. (2002). Optimal multi-user space time scheduling for wireless communications. In IEEE 56th VTC 2002-Fall. (2002), vol. 4, pp. 1939–1942.

  9. Al-Ghadhban, S., Buehrer, R. M., & Robert, M. (2007). Uplink scheduling criteria comparison for V-BLAST users. In 9th international symposium on signal processing and its applications, 2007, pp. 1–4.

  10. Wolniansky, P. W., Foschini, G. J., Golden, G. D., & Valenzuela, R. A. (1998). V-BLAST: An architecture for realizing very high data rates over the rich-scattering wireless channel. In Proceedings of ISSSE-98, Pisa, Italy, pp. 295–300.

  11. Choi, J., & Adachi, F. (2010). User selection criteria for multiuser systems with optimal and suboptimal LR based detectors. IEEE Transactions on Signal Processing, 58(10), 5463–5468.

    Article  MathSciNet  Google Scholar 

  12. Bai, L., Chen, C., Choi, J., & Ling, C. (2011). Greedy user selection using a lattice reduction updating method for multiuser MIMO systems. IEEE Transactions on Vehicular Technology, 60(1), 136–147.

    Article  Google Scholar 

  13. Mao, J. L., Gao, J. C., Liu, Y. A., Xie, G., & Zhang, J. (2012). Robust multiuser MIMO scheduling algorithms with imperfect CSI. Science China Information Sciences, 55(4), 815–826.

    Article  MATH  Google Scholar 

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

    Article  Google Scholar 

  15. Papadias, C. B., & Foschini, G. J. (2002). On the capacity of certain space-time coding schemes. EURASIP Journal on Applied Signal Processing, 2002(5), 447–458.

    Article  MATH  Google Scholar 

  16. Loyka, S., & Gagnon, F. (2004). On BER analysis of the BLAST without optimal ordering over Rayleigh fading channel. In Vehicular technology conference, VTC2004-Fall, IEEE 60th, vol. 2, pp. 1473–1477.

  17. Jiang, Y., Zheng, X., & Li, J. (2005). Asymptotic performance analysis of V-BLAST. In Global telecommunications conference, 2005. GLOBECOM ’05. IEEE, vol. 6, p. 3886.

  18. Lee, H., & Lee, I. (2006). Channel capacity of BLAST based on the zero forcing criterion. In Vehicular technology conference, VTC 2006-Spring. IEEE 63rd, vol. 4, pp. 1615–1619.

  19. Edelman, A. (1988). Eigenvalues and condition numbers of random matrices. SIAM Journal on Matrix Analysis and Applications, 9(4), 543–560.

    Article  MathSciNet  MATH  Google Scholar 

  20. David, H. A. (1970). Order statistics (1st ed.). New York: Wiley.

    MATH  Google Scholar 

  21. Gordon, Y., Litvak, A. E., Schutt, C., & Werner, E. (2006). On the minimum of several random variables. Proceedings of American Mathematical Society, 134(12), 3669–3675.

    Article  MathSciNet  Google Scholar 

  22. Bertsimas, D., Natarajan, K., & Teo, C.-P. (2006). Tight bounds on expected order statistics. Probability in the Engineering and Informational Sciences, 20(4), 667–686.

    Article  MathSciNet  MATH  Google Scholar 

  23. Zhang, X., Lv, Z., & Wang, W. (2008). Performance analysis of multiuser diversity in MIMO systems with antenna selection. IEEE Transactions on Wireless Communications, 7(1), 15–21.

    Article  MATH  Google Scholar 

Download references

Acknowledgments

The author would like to acknowledge the support provided by King Fahd University of Petroleum and Minerals (KFUPM) and King Abdulaziz City for Science and Technology (KACST) for funding this work through project number AR-29-79.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Samir N. Al-Ghadhban.

Additional information

This paper was partially presented in the 9th International Symposium on Signal Processing and Its Applications in Sharqah UAE 2007. Compared to the conference paper, scheduling criteria analysis are added and novel V-BLAST capacity bounds are derived in this paper. In addition, more comparisons and insights on the performance of the different scheduling criteria are presented and discussed.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Al-Ghadhban, S.N. User Selection Criteria for Uplink Spatial Multiplexing MIMO Systems. Wireless Pers Commun 79, 487–507 (2014). https://doi.org/10.1007/s11277-014-1869-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-014-1869-x

Keywords