Skip to main content
SpringerLink
Log in

Feedback Strategies for Multiuser Systems

  • Chapter
  • First Online:
Feedback Strategies for Wireless Communication

Abstract

In this chapter, we focus on the different feedback strategies for the case of a multiuser wireless communication system where both the transmitter and the receivers are equipped with a single antenna. Firstly, an information-theoretic overview is provided assuming that the users channel state information (CSI) is fully known at the transmitter. Then, user scheduling algorithms are introduced by taking into account different criteria including opportunistic and proportional fairness. Finally, we study the reduced and limited feedback algorithms in detail and provide the performance results for both single carrier and multicarrier based multiuser systems.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Al-Harthi Y S, Tewfik A H, Alouini M S (2007) Multiuser diversity with quantized feedback. IEEE Transactions on Wireless Communications. 6:330–337.

    Article  Google Scholar 

  2. Bergmans P (1974) A simple converse for broadcast channels with additive white Gaussian noise. IEEE Trans. Inform. Theory, 20: 279–280.

    Article  MathSciNet  MATH  Google Scholar 

  3. Baek S J, Veciana G D (2012) Opportunistic Feedback and Scheduling to Reduce Packet Delays in Heterogeneous Wireless Systems. IEEE Trans. on Vehicular Technology. 61:3282–3289.

    Article  Google Scholar 

  4. Cover T (1972) Broadcast channels. IEEE Trans. Inform. Theory, 18: 2–14.

    Article  MathSciNet  MATH  Google Scholar 

  5. Costa M (1983) Writing on dirty paper. IEEE Trans. Inform. Theory, 29: 439–441.

    Article  MathSciNet  MATH  Google Scholar 

  6. Cover T M, Thomas J A (1991) Elements of Information Theory. Wiley.

    Google Scholar 

  7. Floren F, Edfors O, Molin B A (2003). The effect of feedback quantization on the throughput of a multiuser diversity scheme. Proc. IEEE Global Telecommunication Conference, 1: 497–501.

    Google Scholar 

  8. Hassel V, Alouini M-S, Gesbert D, Oien G E (2005)Exploiting multiuser diversity using multiple feedback thresholds. Proc. IEEE Vehicular Tech.COnf. 2: 1302–1306.

    Google Scholar 

  9. Hassel V, Gesbert D, Alouini M-S, Oien, G E (2007) A Threshold-Based Channel State Feedback Algorithm for Modern Cellular Systems. IEEE Trans. Wireless. Commun.6:2422–2426.

    Google Scholar 

  10. Gesbert D, Alouini M-S (2003) Selective multiuser diversity. Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, 1: 162–165.

    Google Scholar 

  11. Gesbert D, Alouini M-S (2004) How much feedback is multi-user diversity really worth? Proc. IEEE Int. Conf. Commun., 1: 234–238.

    Google Scholar 

  12. Kim H, Han Y (2007) An opportunistic channel quality feedback scheme for proportional fair scheduling. IEEE Communications Letters. 11: 501–503.

    Article  Google Scholar 

  13. Knopp R, Humblet P (1995) Information capacity and power control in single cell multiuser communications, in Proc.IEEE International Conference on Communications (ICC), USA, 1:331–335.

    Google Scholar 

  14. Qin X, Berry R (2004) Opportunistic splitting algorithms for wireless networks. Proc. IEEE International Conf. Computer Commun. 1: 1662–1672.

    Google Scholar 

  15. Johansson M (2003) Benefits of multiuser diversity with limited feedback. Proc. IEEE Workshop Signal Processing Advances Wireless Commun., 1:155–159.

    Google Scholar 

  16. Nam S S, Alouini M-S, Yang H-C, Qaraqe K A (2009)Threshold-Based Parallel Multiuser Scheduling. IEEE Trans. on Wireless Comm. 8: 2150–2159.

    Article  Google Scholar 

  17. Niu B, Simeone O, Somekh O, Haimovich A M. (2010).Ergodic and Outage Performance of Fading Broadcast Channels With 1-Bit Feedback. IEEE Trans. on Vehicular Technology. 59:1282–1293

    Article  Google Scholar 

  18. So J, Cioffi J M (2009) Feedback reduction scheme for downlink multiuser diversity. IEEE Trans. Wireless. Commun., 8: 668–672.

    Article  Google Scholar 

  19. Shannon C (1974) Two-way communication channels. Reprinted in Key Papers in the Development of Information Theory, IEEE Press: 339–372.

    Google Scholar 

  20. Sanayei S, Nosratinia A (2005) Exploiting Multiuser Diversity with Only 1-Bit Feedback. Proc. IEEE Wireless Communications and Networking Conference (WCNC). 2:978–983

    Google Scholar 

  21. So J-W, Cioffi John M. (2008) Capacity and Fairness in Multiuser Diversity Systems with Opportunistic Feedback.IEEE Communications Letters.12:648:650.

    Google Scholar 

  22. So J (2009) Opportunistic Feedback with Multiple Classes in Wireless Systems. IEEE Communications Letters. 13:384–386

    Article  Google Scholar 

  23. Svedman P, Wilson S K, Jr. Cimini L J, Ottersten B E (2007) Opportunistic Beamforming and Scheduling for OFDMA Systems. IEEE Transactions on Communications. 55: 941–952.

    Article  Google Scholar 

  24. Tse D, Viswanath P (2005) Fundamentals of Wireless Communication, Cambridge University Press.

    Google Scholar 

  25. Tang T, Heath R (2005). Opportunistic feedback for downlink multiuser diversity. IEEE Communications Letters. 9: 948–950.

    Article  Google Scholar 

  26. Xue Y, Kaiser T (2007) Exploiting Multiuser Diversity With Imperfect One-Bit Channel State Feedback. IEEE Trans. on Vehicular Technology. 56:183–193

    Article  Google Scholar 

  27. S. Vishwanath, N. Jindal, A. Goldsmith, “Duality, achievable rates and sum rate capacity of Gaussian MIMO broadcast channel”. IEEE Trans.on Information Theory, vol.49, no.10, pp. 2658–2668, October 2003.

    Google Scholar 

  28. Viswanath P, Tse D (2003). Sum capacity of the vector gaussian broadcast channel and uplink downlink duality. IEEE Trans. on Info. Theory. 49: 1912–1921.

    Article  MathSciNet  Google Scholar 

  29. Yu W, Cioffi J (2001) Trellis precoding for the broadcast channel. In Proceedings of Global Commun. Conf., 1: 1344–1348.

    Google Scholar 

  30. Yang L, Alouini, M-S (2006)Performance Analysis of Multiuser Selection Diversity. IEEE Trans. on Vehicular Tech. 55:1848–1861.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. İzmir Institute of Technology, İzmir, Turkey

    Berna Özbek

  2. Conservatoire National des Arts et Métiers, Paris Cedex 03, France

    Didier Le Ruyet

Authors
  1. Berna Özbek
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Didier Le Ruyet
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this chapter

Cite this chapter

Özbek, B., Le Ruyet, D. (2014). Feedback Strategies for Multiuser Systems. In: Feedback Strategies for Wireless Communication. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7741-9_5

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-7741-9_5

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-7740-2

  • Online ISBN: 978-1-4614-7741-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation