DOI QR코드

DOI QR Code

Low-Complexity and Low-Power MIMO Symbol Detector for Mobile Devices with Two TX/RX Antennas

  • Jang, Soohyun (School of Electronics, Telecommunication and Computer Engineering, Korea Aerospace University) ;
  • Lee, Seongjoo (Department of Information and Communication Engineering, Sejong University) ;
  • Jung, Yunho (School of Electronics, Telecommunication and Computer Engineering, Korea Aerospace University)
  • Received : 2014.06.11
  • Accepted : 2015.03.10
  • Published : 2015.04.30

Abstract

In this paper, a low-complexity and low-power soft output multiple input multiple output (MIMO) symbol detector is proposed for mobile devices with two transmit and two receive antennas. The proposed symbol detector can support both the spatial multiplexing mode and spatial diversity mode in single hardware and shows the optimal maximum likelihood (ML) performance. By applying a multi-stage pipeline structure and using a complex multiplier based on the polar-coordinate, the complexity of the proposed architecture is dramatically decreased. Also, by applying a clock-gating scheme to the internal modules for MIMO modes, the power consumption is also reduced. The proposed symbol detector was designed using a hardware description language (HDL) and implemented using a 65nm CMOS standard cell library. With the proposed architecture, the proposed MIMO detector takes up an area of approximately $0.31mm^2$ with 183K equivalent gates and achieves a 150Mbps throughput. Also, the power estimation results show that the proposed MIMO detector can reduce the power consumption by a maximum of 85% for the various test cases.

Keywords

References

  1. Q. Li, et al, "MIMO techniques in WiMAX and LTE: A feature overview," Communications, IEEE Magazine, Vol.48, No.5, pp.86-92, May 2010.
  2. S. Srikanth, P.A. Murugesa Pandian, and X. Fernando, "Orthogonal frequency division multiple access in WiMAX and LTE: a comparison," Communications, IEEE Magazine, Vol.50, No.9, pp.153-161, Sep. 2012.
  3. 3GPP, ''Evolved universal terrestrial radio access (EUTRA, physical channels and modulation (Release 10)," TS 36.211, V10.2.0, Jun. 2011.
  4. IEEE 802.16-2005, "Part 16: air interface for fixed and mobile broadband wireless access systems amendment 2: physical and medium access control layers for combined fixed and mobile operation in licensed bands and corrigendum 1," Feb. 2006.
  5. A. J. Paulraj, D. A. Gore, R. U. Nabar, and H. Bolcskei, "An overview of MIMO communications-A key to gigabit wireless," Proceedings of the IEEE, Vol.92, No.2, pp.198-218, Feb. 2004. https://doi.org/10.1109/JPROC.2003.821915
  6. J. Soler-Garrido, D. Milford, M. Sandell, and H. Vetter, "Implementation and evaluation of a highperformance MIMO detector for wireless LAN systems," Consumer Electronics, IEEE Transactions on, Vol.57, No.4, pp.1519-1527, Nov. 2011. https://doi.org/10.1109/TCE.2011.6131120
  7. W. Zhao and G.B. Giannakis, "Sphere decoding algorithms with improved radius search," Communications, IEEE Transactions on, Vol.53, No.7, pp.1104-1109, Jul. 2005. https://doi.org/10.1109/TCOMM.2005.851590
  8. Z. Guo and P. Nilsson, "Algorithm and implementation of the K-best sphere decoding for MIMO detection," Selected Areas in Communications, IEEE Journal of, Vol.24, No.3, pp.491-503, Mar. 2006. https://doi.org/10.1109/JSAC.2005.862402
  9. C. Studer, A. Burg, and H. Bolcskei, "Soft-output sphere decoding: Algorithms and VLSI implementation," Selected Areas in Communications, IEEE Journal of, Vol.26, No.2, pp. 290-300, Feb. 2008. https://doi.org/10.1109/JSAC.2008.080206
  10. L. Liu, J. Lofgren, and P. Nilsson, "Lowcomplexity likelihood information generation for spatial-multiplexing MIMO signal detection," Vehicular Technology, IEEE Transactions on, Vol.61, No.2, pp.607-617, Feb. 2012. https://doi.org/10.1109/TVT.2011.2180408
  11. S. L. Shieh, R. D. Chiu, S. L. Feng, and P. N. Chen, "Low-complexity soft-output sphere decoding with modified repeated tree search strategy," Communication Letters, IEEE, Vol.17, No.1, pp.51-54, Jan. 2013. https://doi.org/10.1109/LCOMM.2012.112012121728
  12. H. Kawai, K. Higuchi, N. Maeda, and M. Sawahashi, "Adaptive control of surviving symbol replica candidates in QRD-MLD for OFDM MIMO multiplexing," Selected Areas in Communications, IEEE Journal of, Vol.24, No.6, pp.1130-1140, Jun. 2006. https://doi.org/10.1109/JSAC.2005.864027
  13. H. Lee, M. Baek, J. Kim, and H. Song, "Efficient detection scheme in MIMO-OFDM for high speed wireless home network system," Consumer Electronics, IEEE Transactions on, Vol.55, No.2, pp.507-512, May. 2009 https://doi.org/10.1109/TCE.2009.5174414
  14. S. Yu, T. Im, C. Park, J. Kim, and Y. Cho, "An FPGA implementation of MML-DFE for spatially multiplexed MIMO systems," Circuits and Systems II, IEEE Transactions on, Vol.55, No.7, pp.705-709, Jul. 2008. https://doi.org/10.1109/TCSII.2008.921572
  15. S. Jang, Y. Jung, "Efficient symbol detector for MIMO communication systems," Wireless and Mobile Communications 2011, ICWMC 2011, IARIA International Conference on, pp.182-187, Jun. 2011.
  16. D. Wu, J. Eilert, R. Asghar, M. Ge, and D. Liu, "VLSI Implementation of a Multi-Standard MIMO Symbol Detector for 3GPP LTE and WiMAX," Wireless Telecommunications Symposium 2010, WTS 2010, IEEE International Conference on, pp.1-4, Apr. 2010.
  17. C. Huang, C. Yu, and H. Ma, "A Power-Efficient Configurable Low-Complexity MIMO Detector," Circuits and Systems I, IEEE Transactions on, Vol.56, No.2, pp.485-496, Feb. 2009. https://doi.org/10.1109/TCSI.2008.2001368
  18. K. Kim, Y. Jung, S. Lee, and J. Kim, "Efficient list extension algorithm using multiple detection order for soft-output MIMO detection," Communications, IEICE Transactions on, Vol.E95-B, No.3, pp.898-912, Mar. 2012. https://doi.org/10.1587/transcom.E95.B.898
  19. B. Vucetic and J. Yuan, Space-Time Coding, Wiley, 2003.
  20. F. Tosato, P. Bisaglia, "Simplified soft-output demapper for binary interleaved COFDM with application to HIPERLAN/2," Communications 2002, ICC 2002, IEEE International Conference on, Vol.2, pp.664-668, May 2002.
  21. A. Adjoudani, E. Beck, A. Burg, G.M. Djuknic, T. Gvoth, D. Haessig, S. Manji, M. Milbrodt, M. Rupp, D. Samardzija, A. Siegel, T. Sizer II, C. Tran, S. Walker, S.A. Wilkus, and P. Wolniansky, "Prototype experience for MIMO BLAST over third-generation wireless system," Selected Areas in Communications, IEEE Journal of, Vol.21, No.3, pp.440-451, Apr. 2003. https://doi.org/10.1109/JSAC.2003.809724
  22. M. Arora, The Art of Hardware Architecture: Design Methods and Techniques for Digital Circuits, Springer, 2012
  23. T. Cupaiuolo, M. Siti, and A. Tomasoni, "Lowcomplexity high throughput VLSI architecture of soft-output ML MIMO detector," Design, Automation & Test in Europe Conference & Exhibition 2010, DATE 2010, IEEE International Conference on, pp.1396-1401, Mar. 2010.
  24. R. Fasthuber, M. Li, D. Novo, P. Raghavan, L. Van Der Perre, and F. Catthoor, "Novel energy-efficient scalable soft output SSFE MIMO detection architectures," Systems, Architectures, Modeling, and Simulation 2009, SAMOS 2009, IEEE International Conference on, pp.20-23, Jul. 2009.
  25. N. Moezzi-Madani, T. Thorolfsson, J. Crop, P. Chiang, and W.R. Davis, "An energy-efficient 64- QAM MIMO detector for emerging wireless standards," Design, Automation & Test in Europe Conference & Exhibition 2011, DATE 2011, IEEE International Conference on, pp.1-6, Mar. 2011.
  26. J. Im, M. Cho, Y. Jung, Y. Jung, and J. Kim, "A Low-power and Low-complexity Baseband Processor for MIMO-OFDM WLAN Systems," Signal Processing Systems, Springer Journal of, Vol.68, No.1, pp.19-30, Jul. 2012. https://doi.org/10.1007/s11265-010-0570-x

Cited by

  1. Hardware Efficient Modified K-Best Symbol Detection Algorithm for Wireless MIMO Systems vol.94, pp.4, 2017, https://doi.org/10.1007/s11277-016-3857-9
  2. Efficient Low-Complexity Soft MIMO Symbol Detector for MIMO Systems vol.16, pp.2, 2017, https://doi.org/10.12815/kits.2017.16.2.153