Skip to main content
SpringerLink
Log in

MIMO Detection Techniques Based on Low Complexity Adaptive QR-Decomposition with M-Algorithm for 3GPP LTE Systems

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In this paper, two novel multiple-input multiple-output (MIMO) detection algorithms, adaptive parallel QRDM (APQRDM) and adaptive iterative QRDM (AIQRDM) which are able to achieve the similar detection throughput as conventional QRDM while reducing the computational complexity, are introduced, and the system performances are evaluated on the platform of 3GPP LTE downlink. In both 2 × 2 and 4 × 4 MIMO, APQRDM and AIQRDM algorithms can achieve almost same packet error rate performance as those of conventional QRDM algorithm, while the computational complexity is significantly reduced. Also, the receiver employing APQRDM and AIQRDM detection algorithms shows the almost same throughput as the case of conventional MIMO detection algorithms. Furthermore, practical channel estimation techniques are employed, and the system performances are thoroughly analyzed and discussed.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. 3GPP TS 36.300. (2008). Evolved universal terrestrial radio access (E-UTRA) and evolved universal terrestrial radio access network (E-UTRAN): Overall description, v8.7.0, December 2008.

  2. Nee R. V., Prasad R. (2000) OFDM for wireless multimedia communications. Artech House Publishers, London

    Google Scholar 

  3. Mohaisen M., An H. S., Chang K. H. (2009) Detection techniques for MIMO multiplexing: A comparative study. KSII Transactions on Internet and Information Systems 3(6): 647–666

    Google Scholar 

  4. Wolniansky, P., Foschini, G., Golden, G., & Valenzuela, R. (1998). V-BLAST: An architecture for realizing very high data rates over the rich-scattering wireless channel. In Proceedings of the URSI international symposium on signals, systems, and electronics, October 1998 (pp. 295–300).

  5. Dai, Y., Sun, S., & Lei, Z. (2005). A comparative study of QRD-M detection and sphere decoding for MIMO-OFDM systems. In Proceedings of IEEE international symposium on personal, indoor and mobile radio communications, September 2005 (pp. 186–190).

  6. Agrell E., Eriksson T., Vardy A., Zeger K. (2002) Closest point search in lattices. IEEE Transactions on Information Theory 48(8): 2201–2214

    Article  MathSciNet  MATH  Google Scholar 

  7. Kawai H., Higuchi K., Maeda N., Sawahashi M. (2006) Adaptive control of surviving symbol replica candidates in QRM-MLD for OFDM-MIMO multiplexing. IEEE Journal of Selected Areas in Communications 24(6): 1130–1140

    Article  Google Scholar 

  8. Aubert, S., Mohaisen, M., Nouvel, F., & Chang, K. H. (2010). Parallel QR decomposition in LTE-A systems. In Proceedings of the IEEE international workshop on signal processing advances in wireless communications (SPAWC), June 2010, Pos 6-1.

  9. Mohaisen, M., Chang, K. H., & Koo, B. T. (2009). Adaptive parallel and iterative QRDM algorithms for spatial multiplexing MIMO systems. In Proceedings of the IEEE VTC-Fall, September 2009 (pp. 1–5).

  10. Anderson J., Mohan S. (1984) Sequential coding algorithms: A survey and cost analysis. IEEE Transactions on Communications 32(2): 169–176

    Article  Google Scholar 

  11. Qingwei, L., & Zhongfeng, W. (2006). Improved K-best sphere decoding algorithms for MIMO systems. In Proceedings of the IEEE conference on signals, systems and computers, October 2006 (pp. 1159–1162).

  12. Wei, L., Ming, C., Cheng, S., Wang, H. (2007). An improved QRD-M algorithm in MIMO communications. In Proceedings of the IEEE global communications conference, November 2007 (pp. 4380–4384).

  13. 3GPP TS 36.211. (2009). Evolved universal terrestrial radio access (E-UTRA): Physical channels and modulation, v8.6.0, March 2009.

  14. 3GPP TS 36.212. (2009). Evolved universal terrestrial radio access (E-UTRA): Multiplexing and channel coding, v8.6.0, March 2009.

  15. Jeon, K., Kim, H., Park, H. (2006). An efficient QRD-M algorithm using partial decision feedback detection. In Proceedings of the 40th Asilomar conference on signal, systems, and computers, October 2006 (pp. 1658–1661).

Download references

Author information

Authors and Affiliations

  1. The Graduate School of IT & T, Inha University, Incheon, Korea

    Bing Hui, Manar Mohaisen, Dongkeol Han & KyungHi Chang

  2. System SoC Research Department, ETRI, Daejeon, Korea

    YoungSeok Baek & Bontae Koo

Authors
  1. Bing Hui
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Manar Mohaisen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dongkeol Han
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. KyungHi Chang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. YoungSeok Baek
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Bontae Koo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to KyungHi Chang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hui, B., Mohaisen, M., Han, D. et al. MIMO Detection Techniques Based on Low Complexity Adaptive QR-Decomposition with M-Algorithm for 3GPP LTE Systems. Wireless Pers Commun 67, 505–523 (2012). https://doi.org/10.1007/s11277-011-0392-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-011-0392-6

Keywords

Search

Navigation