Skip to main content
Log in

Enhanced Multi-mode Transmission by User Scheduling in MISO Broadcast Channels with Finite-Rate Feedback

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

This paper investigates the user selection strategy in multiuser downlinks using zero-forcing beamforming (ZFBF) and finite-rate feedback (FRF). In order to mitigate the interference-limited effect in ZFBF-FRF systems, we propose an efficient user scheduling scheme combined with adaptive transmission mode selection strategy. In this scheme, each user first evaluates its preferred transmission mode and the corresponding achievable rate according to a derived tight lower bound of the rate. Given such information on the users through feedback, the BS then determines the global transmission mode of the system and selects users for simultaneous transmission. Asymptotic analysis shows that limited feedback beamforming to a single user is the best choice at both low and high SNR regimes. Simulation results demonstrate individual effects of different system parameters on the sum rate performance by the proposed scheme.

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

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Telatar I. E. (1999) Capacity of multi-antenna Gaussian channels. European Transactions on Telecommunications 10: 585–595

    Article  Google Scholar 

  2. Weingarten, H., Steinberg, Y., & Shamai, S. (2004). The capacity region of the Gaussian MIMO broadcast channel. In Proceedings of 38th conference information sciences and systems (CISS’04). Princeton, NJ.

  3. Sharif M., Hassibi B. (2005) On the capacity of MIMO broadcast channels with partial side information. IEEE Transactions on Information Theory 51(2): 506–522

    Article  MathSciNet  Google Scholar 

  4. Samsung, & SNU. (2006). Downlink MIMO for EUTRA, in 3GPP TSG RAN WG1 #44/R1-060335.

  5. Jindal N. (2006) MIMO broadcast channels with finite-rate feedback. IEEE Transactions on Information Theory 52(11): 5045–5060

    Article  MathSciNet  Google Scholar 

  6. Zhang C., Xu W., Chen Ming. (2009) Hybrid zero-forcing beamforming/orthogonal beamforming with user selection for MIMO broadcast channels. IEEE Communication Letters 13(1): 10–12

    Article  MathSciNet  MATH  Google Scholar 

  7. Sesia S., Toufik I., Baker M. (2009) LTE, The UMTS Long Term Evolution : From theory to practice. Wiley, London

    Book  Google Scholar 

  8. Zheng L., Tse D. (2003) Diversity and multiplexing: A fundamental tradeoff in multiple antenna channels. IEEE Transactions on Information Theory 49(5): 1073–1096

    Article  MATH  Google Scholar 

  9. Lozano A., Jindal N. (2010) Transmit diversity vs. spatial multiplexing in modern MIMO systems. IEEE Transactions on Wireless Communications 9(1): 186–197

    Article  Google Scholar 

  10. Kang T., Kim H. (2008) Optimal beam subset and user selection for orthogonal random beamforming. IEEE Communication Letter 12(8): 1–3

    Article  MathSciNet  Google Scholar 

  11. Wagner J., Liang Y., Zhang R. (2008) On the balance of multiuser diversity and spatial multiplexing gain in random beamforming. IEEE Transactions on Wireles Communications 7(7): 2512–2525

    Article  Google Scholar 

  12. Jorswieck E. A., Svedman P., Ottersten B. (2008) Performance of TDMA and SDMA based opportunistic beamforming. IEEE Transaction on Wireless Communication 7(11): 4058–4063

    Article  Google Scholar 

  13. Kountouris, M., Gesbert, D., & Salzer, T. (2008). Distributed transmit mode selection for MISO broadcast channels with limited feedback: Switching from SDMA to TDMA. In Proceedings of IEEE SPAWC, Recife, Brazil.

  14. Au-Yeung C.K., Park S. Y., Love D. J. (2009) A simple dual-mode limited feedback multiuser downlink system. IEEE Transaction Communication 57(5): 1514–1522

    Article  Google Scholar 

  15. Kountouris, M., Francisco, R., Gesbert, D., Slock, D. T. M. & Salzer, T. (2006). Multiuser diversity-multiplexing tradeoff in MIMO broadcast channels with limited feedback. In Proceedings of 40th Asilomar conference on signals, systems and computers. Pacific Grove, CA, USA.

  16. Zhang, J., Heath, Jr, R. W., Kountouris, M., & Andrews, J. G. (2009). Mode switching for MIMO broadcast channel based on delay and channel quantization, EURASIP Journal of Advances Signal Proceedings (Article ID 802548), 15 pp

  17. Dai W., Liu Y., Rider B. C., Gao W. (2008) How many users should be turned on in a multi-antenna broadcast channel?. IEEE Journal on Selected Areas in Communications 26(8): 1526–1535

    Article  Google Scholar 

  18. Zhang, J., Kountouris, M., Andrews, J. G. & Heath, Jr, R. W. (2009) Achievable throughput of multi-mode multiuser MIMO with imperfect CSI constraints. In Proceedings of IEEE ISIT. Seoul, Korea.

  19. Yoo T., Jindal N., Goldsmith A. (2007) Multi-antenna downlink channels with limited feedback and user selection. IEEE Journal of Selective Areas Communication 25(7): 1478–1491

    Article  Google Scholar 

  20. Xu W., Zhao C., Ding Z. (2009) Limited feedback multiuser scheduling of spatially correlated broadcast channels. IEEE Transactions on Vehicular Technology 58(8): 4406–4418

    Article  Google Scholar 

  21. Dimic G., Sidiropoulos N. (2005) On downlink beamforming with greedy user selection: performance analysis and a simple new algorithm. IEEE Transactions on Signal Processing 53(10): 3857–3868

    Article  MathSciNet  Google Scholar 

  22. Xu W., Zhao C. (2010) Two-phase multiuser scheduling for multiantenna downlinks exploiting reduced finite-rate feedback. IEEE Transactions on Vehicular Technology 59(3): 1367–1380

    Article  MathSciNet  Google Scholar 

  23. Trivellato, M., Boccardi, F., & Tosato, F. (2007). User selection schemes for MIMO broadcast channels with limited feedback. In Proceedings of IEEE VTC Spring (pp. 2089–2093)

  24. Lee J., Jindal N. (2007) High SNR analysis for MIMO broadcast channels: dirty paper coding versus linear precoding. IEEE Transactions on Information Theory 53(12): 4787–4792

    Article  MathSciNet  Google Scholar 

  25. Djamah, M., & Shaughnessy, D. O’. (2010). An efficient tree-structured codebook design for embedded vector quantization. In IEEE ICASSP. Dallas, USA.

  26. Boccardi, F., Huang, H., & Alexiou, A. (2007). Hierarchical quantization and its application to multiuser eigenmode transmissions for MIMO broadcast channels with limited feedback. In IEEE international symposium PIMRC. Athens.

  27. Zhang H., Li Y., Stolpman V., Van Waes N. (2007) A reduced CSI feedback approach for precoded MIMO-OFDM systems. IEEE Transactions on Wireless Communications 6(1): 55–58

    Article  Google Scholar 

  28. Marshall A.W., Olkin I. (1979) Inequalities: Theory of majorization and its applications. Academic Press, Inc., New York

    MATH  Google Scholar 

  29. Gradsbteyn I. S., Ryzbik L. M. (2000) Table of integrals, series, and products, 6th edn. Academic Press, London

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wei Xu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Xu, W., Dong, X. Enhanced Multi-mode Transmission by User Scheduling in MISO Broadcast Channels with Finite-Rate Feedback. Wireless Pers Commun 65, 103–123 (2012). https://doi.org/10.1007/s11277-011-0230-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-011-0230-x

Keywords

Navigation