Skip to main content
Log in

MMSE relay precoding schemes based on quantization error compensation for multi-relay system

  • Research Papers
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

    We’re sorry, something doesn't seem to be working properly.

    Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

Abstract

In order to deal with the performance degradation resulting from the quantization error, this paper introduces the statistics of Grassmannian codebook’s quantization error into relay precoding design for multirelay system. Based on the two-step MMSE optimization algorithm for relay precoding and receiver equalizing with full feedback under QoS requirements, we first propose a limited feedback two-step MMSE optimization scheme for relay precoding and receiver equalizing with quantization error compensation, and then we propose a limited feedback joint MMSE optimization scheme for relay precoding and receiver equalizing with quantization error compensation subject to a global power constraint at the output of relays. Simulation results show that the proposed joint MMSE optimization scheme with quantization error compensation has a much lower bit-error rate than the two-step MMSE optimization scheme with quantization error compensation and the joint MMSE optimization scheme without quantization error compensation.

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. Pabst R, Walke B H, Schultz D C. Relay-based deployment concepts for wireless and mobile broadband radio. IEEE Commun Mag, 2004, 42: 80–89

    Article  Google Scholar 

  2. Zhao R, Yang L X, Zhu W P. Transmission scheme and performance analysis for decode-and-forward MIMO two-way relay systems. Sci China Ser F-Inf Sci, 2009, 52: 2308–2316

    Article  MATH  Google Scholar 

  3. Kramer G, Gastpar M, Gupta P. Cooperative strategies and capacity theorems for relay networks. IEEE Trans Inf Theory, 2005, 51: 3037–3063

    Article  MathSciNet  Google Scholar 

  4. Liang Y B, Veeravalli V V. Cooperative relay broadcast channels. IEEE Trans Inf Theory, 2007, 53: 900–928

    Article  MathSciNet  Google Scholar 

  5. Khajehnouri N, Sayed A H. Distributed MMSE relay strategies for wireless sensor networks. IEEE Trans Signal Process, 2007, 55: 3336–3348

    Article  MathSciNet  Google Scholar 

  6. Guan W, Luo H W, Chen W. Linear relaying scheme for MIMO relay system with QoS requirements. IEEE Signal Process Lett, 2008, 15: 697–700

    Article  Google Scholar 

  7. Zhao Y, Adve R, Lim T J. Beamforming with limited feedback in amplify-and-forward cooperative networks. In: IEEE Global Telecommunications Conference. Washington: IEEE Communications Society Press, 2007. 3457–3461

    Google Scholar 

  8. Mukkavilli K K, Sabharwal A, Erkip E, et al. On beamforming with finite rate feedback in multiple antenna systems. IEEE Trans Inf Theory, 2003, 49: 2562–2579

    Article  MathSciNet  Google Scholar 

  9. Love D J, Heath R W Jr., Strohmer T. Grassmannianian beamforming for multiple-input multiple-output wireless systems. IEEE Trans Inf Theory, 2003, 49: 2735–2747

    Article  Google Scholar 

  10. Sayed A H. Fundamentals of Adaptive Filtering. New York: Wiley, 2003

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ting Li.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Li, T., Yang, L. MMSE relay precoding schemes based on quantization error compensation for multi-relay system. Sci. China Inf. Sci. 53, 2548–2556 (2010). https://doi.org/10.1007/s11432-010-4114-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11432-010-4114-6

Keywords

Navigation