Skip to main content
Log in

Maximum minimum throughput for MIMO system with optimum successive decoding under multi-user co-channel interference

  • Published:
Telecommunication Systems Aims and scope Submit manuscript

Abstract

The maximal-minimal-limiting-throughput based power assignment (MMLTPA) and the joint MMSE equalization and power control with maximal-minimal-limiting-throughput based initial power assignment (JMEPC-MMLTIPA) algorithm are proposed for the MIMO system with optimum successive decoding (MIMO-OSD) under multi-user co-channel interference. MMLTPA is used to compensate for the large-scale path loss and the JMEPC-MMLTIPA algorithm employs MMLTPA in the initial power assignment so that it can compensate for the large-scale path loss at startup. Simulation results show that the JMEPC-MMLTIPA algorithm increases the minimal throughput per user of MIMO-OSD under multi-user co-channel interference.

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

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. Gesbert, D., Shafi, M., Shiu, D.-S., Smith, P. J., & Naguib, A. (2003). From theory to practice: An overview of MIMO space–time coded wireless systems. IEEE Journal on Selected Areas in Communications, 21(3), 281–302.

    Article  Google Scholar 

  2. Varanasi, M. K., & Guess, T. (1998). Optimum decision-feedback multiuser equalization with successive decoding achieves the total capacity of the Gaussian multiple-access channel. In Proceedings Asilomar Conference on Signals, Systems, and Computers, pp. 1405–1409.

  3. Chung, S. T., Lozano, A., & Huang, H. C. (2001). Approaching eigenmode BLAST channel capacity using V-BLAST with rate and power feedback. In Proceedings of IEEE Vehicular Technology Conference (VTC’2001 Fall), Vol. 2, pp. 915-919

  4. Zhang, R., Liang, Y.-C., Narasimhan, R., & Cioffi, J. M. (2007). Approaching MIMO-OFDM capacity with per-antenna power and rate feedback. IEEE Journal on Selected Areas in Communications, 25(7), 1284–1297.

    Article  Google Scholar 

  5. Jiang, Y., Varanasi, M. K., & Li, J. (2011). Performance analysis of ZF and MMSE equalizers for MIMO systems: An in-depth study of the high SNR regime. IEEE Transactions on Information Theory, 57(4), 2008–2026.

    Article  Google Scholar 

  6. Webb, M., Beach, M., & Nix, A. (2004). Capacity limits of MIMO channels with co-channel interference. In Proceedings of IEEE Vehicular Technology Conference 2004 Spring.

  7. Wang, J. T. (2012). Joint MMSE equalization and power control for MIMO system under multi-user interference. IEEE Communications Letters, 16(1), 54–56.

    Article  Google Scholar 

  8. Wang, J. T. (2014). Maximum minimum throughput for MIMO systems in cognitive radio networks. IEEE Transactions on Vehicular Technology, 63(1), 217–224.

    Article  Google Scholar 

Download references

Acknowledgments

The author would like to thank the anonymous reviewers for their valuable comments which improved the presentation of the paper

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jui Teng Wang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, J.T. Maximum minimum throughput for MIMO system with optimum successive decoding under multi-user co-channel interference. Telecommun Syst 64, 347–354 (2017). https://doi.org/10.1007/s11235-016-0179-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11235-016-0179-x

Keywords