COMPLEXITY ANALYSIS OF A HYBRID THRESHOLD-BASED ZF-MMSE EQUALIZER FOR SIC-BASED MIMO-OFDM RECEIVERS

Nikolaos I. Miridakis, Dimitrios D. Vergados

Abstract

In this paper, we propose a new reception scheme for MIMO-OFDM systems, which can switch between two different equalization methodologies, accordingly, on a subcarrier basis. In fact, the proposed receiver is based on the ordered successive interference cancellation (SIC) technique and uses jointly zero forcing SIC (ZF-SIC) and minimum mean squared error SIC (MMSE-SIC) according to a defined threshold value. The modulation scheme considered in this study is QPSK. Our main objective, here, is the provision of the computational complexity efficiency. Hence, a complexity analysis is provided and upper and lower complexity bounds for the proposed scheme are also derived.

References

  1. H. Lee, B. Lee and I. Lee, “Iterative Detection and Decoding With an Improved V-BLAST for MIMOOFDM Systems,” IEEE J. Sel. Areas Commun., vol. 24, no. 3, 2006, pp. 504-513.
  2. S. Verdú, Multiuser Detection, Cambridge University Press, 1998.
  3. E. C. Kim, J. S. Park and J. Y. Kim, “Co-channel interference cancellation based on ZF/MMSE SIC with optimal ordering for cooperative communication systems,” IEEE 9th Int. Symp. Commun. Inf. Technol., Incheon, Korea, Sept. 2009, pp. 404-409.
  4. H. Zhang, H. Dai and B. Hughes, “Analysis on the diversity-multiplexing tradeoff for ordered MIMO SIC receivers,” IEEE Trans. Commun., vol. 57, no. 1, 2009, pp. 125-133.
  5. A. Zijian, J. Berkmann, C. Spiegel, T. Scholand, G. H. Bruck, C. Drewes, B. Gunzelmann, P. Jung, “On MIMO With Successive Interference Cancellation Applied to UTRA LTE,” IEEE 3rd Int. Symp. Commun., Control and Signal Process., St. Julians, Malta, March 2008, pp. 1009-1013.
  6. D. Marabissi, R. Fantacci and S. Papini, “Robust Multiuser Interference Cancellation for OFDM Systems With Frequency Offset,” IEEE Trans. Wireless Commun., vol. 5, no. 11, 2006, pp. 3068- 3076.
  7. Z. Luo, S. Liu, M. Zhao and Y. Liu, “A Novel Fast Recursive MMSE-SIC Detection Algorithm for VBLAST Systems,” IEEE Trans. Wireless Commun., vol. 6, no. 6, 2007, pp. 2022-2025.
  8. Y. H. Gan, C. Ling and W. H. Mow, “Complex Lattice Reduction Algorithm for Low-Complexity FullDiversity MIMO Detection,” IEEE Trans. Signal Process., vol. 57, no. 7, 2009, pp. 2701-2710.
Download


Paper Citation


in Harvard Style

I. Miridakis N. and D. Vergados D. (2011). COMPLEXITY ANALYSIS OF A HYBRID THRESHOLD-BASED ZF-MMSE EQUALIZER FOR SIC-BASED MIMO-OFDM RECEIVERS . In Proceedings of the International Conference on Wireless Information Networks and Systems - Volume 1: WINSYS, (ICETE 2011) ISBN 978-989-8425-73-7, pages 109-112. DOI: 10.5220/0003614101090112


in Bibtex Style

@conference{winsys11,
author={Nikolaos I. Miridakis and Dimitrios D. Vergados},
title={COMPLEXITY ANALYSIS OF A HYBRID THRESHOLD-BASED ZF-MMSE EQUALIZER FOR SIC-BASED MIMO-OFDM RECEIVERS},
booktitle={Proceedings of the International Conference on Wireless Information Networks and Systems - Volume 1: WINSYS, (ICETE 2011)},
year={2011},
pages={109-112},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003614101090112},
isbn={978-989-8425-73-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Wireless Information Networks and Systems - Volume 1: WINSYS, (ICETE 2011)
TI - COMPLEXITY ANALYSIS OF A HYBRID THRESHOLD-BASED ZF-MMSE EQUALIZER FOR SIC-BASED MIMO-OFDM RECEIVERS
SN - 978-989-8425-73-7
AU - I. Miridakis N.
AU - D. Vergados D.
PY - 2011
SP - 109
EP - 112
DO - 10.5220/0003614101090112