DOI QR코드

DOI QR Code

Improved Wideband Precoding with Arbitrary Subcarrier Grouping in MIMO-OFDM Systems

  • Long, Hang (Wireless Signal Processing and Network Lab, Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts & Telecommunications) ;
  • Kim, Kyeong-Jin (UWB Wireless Communications Research Center, Inha University) ;
  • Xiang, Wei (Faculty of Engineering and Surveying, University of Southern Queensland) ;
  • Shen, Shanshan (Wireless Signal Processing and Network Lab, Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts & Telecommunications) ;
  • Zheng, Kan (Wireless Signal Processing and Network Lab, Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts & Telecommunications) ;
  • Wang, Wenbo (Wireless Signal Processing and Network Lab, Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts & Telecommunications)
  • Received : 2011.01.28
  • Accepted : 2011.06.23
  • Published : 2012.02.01

Abstract

Precoding in the multiple-input multiple-output orthogonal frequency division multiplexing system is investigated. In conventional wideband precoding (WBP), only one precoder, obtained from the decomposition of the subcarrier independent channel matrix, is used for all subcarriers. With an investigation of the relationship between the subcarrier independent channel matrix and the temporal/frequency channels, an improved WBP scheme is proposed for practical scenarios in which a part of subcarriers are allocated to a user. The improved WBP scheme is a generalized scheme of which narrow-band precoding and conventional WBP schemes are special modes. Simulation results demonstrate that the improved WBP scheme almost achieves the optimum performance of a single precoder and outperforms the conventional WBP scheme in terms of the bit error ratio and ergodic capacity with slight complexity increase. The largest advantage of the improved WBP scheme on signal-to-noise ratio in simulation results is over 2.1 dB.

Keywords

References

  1. G.J. Foschini and M.J. Gans, "On Limits of Wireless Communications in a Fading Environment When Using Multiple Antennas," Wireless Personal Commun., vol. 6, no. 3, Mar. 1998, pp. 311-335.
  2. 3GPP TR 36.814 v9.0.0, "Further Advancements for E-UTRA Physical Layer Aspects (Release 9)," Mar. 2010. Available: http://www.3gpp.org/ftp
  3. 3GPP TS 36.211 v8.8.0, "Physical Channels and Modulation," Sept. 2009. Available: http://www.3gpp.org/ftp
  4. IEEE P802.11n/D1.04, "Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications: Enhancements for Higher Throughput," Sept. 2006.
  5. G.G. Raleigh and J.M. Cioffi, "Spatio-Temporal Coding for Wireless Communication," IEEE Trans. Commun., vol. 46, no. 3, Mar. 1998, pp. 357-366.
  6. A. Scaglione, S. Barbarossa, and G.B. Giannakis, "Filterbank Transceivers Optimizing Information Rate in Block Transmissions over Dispersive Channels," IEEE Trans. Inf. Theory, vol. 45, no. 3, Apr. 1999, pp. 1019-1032.
  7. J. Zhang and K.J. Kim, "Near-Capacity MIMO Multiuser Precoding with QRD-M Algorithm," Proc. Asilomar Conf. Signals, Syst., Comput., Pacific Grove, CA, USA, 2005, pp. 1498- 2002.
  8. Y. Jiang, J. Li, and W. Hager, "Joint Transceiver Design for MIMO Communications Using Geometric Mean Decomposition," IEEE Trans. Signal Process., vol. 53, no. 10, Oct. 2005, pp. 3791-3803.
  9. J.C. Roh and B.D. Rao, "Transmit Beamforming in Multiple- Antenna Systems with Finite Rate Feedback: A VQ-Based Approach," IEEE Trans. Inf. Theory, vol. 52, no. 3, Mar. 2006, pp. 1101-1112.
  10. D.J. Love and R.W. Heath Jr., "Limited Feedback Precoding for Spatial Multiplexing Systems," Proc. IEEE Globecom, vol. 4, San Francisco, CA, USA, Dec. 2003, pp. 1857-1861.
  11. D.J. Love, R.W. Heath Jr., and T. Strohmer, "Grassmannian Beamforming for Multiple-Input Multiple-Output Wireless Systems," IEEE Trans. Inf. Theory, vol. 49, no. 10, Oct. 2003, pp. 2735-2747.
  12. J. Choi and R.W. Heath Jr., "Interpolation Based Transmit Beamforming for MIMO-OFDM with Limited Feedback," IEEE Trans. Signal Process., vol. 53, no. 11, Nov. 2005, pp. 4125-4135.
  13. Q. Li and X. Lin, "Compact Feedback for MIMO-OFDM Systems over Frequency Selective Channels," Proc. IEEE VTC Spring, Stockholm, Sweden, May 2005, pp. 187-191.
  14. K.J. Kim, M.O. Pun, and R.A. Iltis, "QRD-Based Precoded MIMO-OFDM Systems with Reduced Feedback," IEEE Trans. Comm., vol. 58, no. 2, Feb. 2010, pp. 394-398.
  15. K.J. Kim, M.O. Pun, and R.A. Iltis, "QRD-Based Precoded MIMO-OFDM Systems with Reduced Feedback," Proc. IEEE ICC, Beijing, China, May 2008, pp. 708-712.
  16. H. Kim et al., "A Proportional Fair Scheduling for Multicarrier Transmission Systems," Proc. IEEE VTC2004-Fall, LA, CA, USA, 2004, pp. 409-413.
  17. H. Bolcskei, D. Gesbert, and A.J. Paulraj, "On the Capacity of OFDM-Based Spatial Multiplexing Systems," IEEE Trans. Comm., vol. 50, no. 2, Feb. 2002, pp. 225-234.
  18. S. Gault, W. Hachem, and P. Ciblat, "Performance Analysis of an OFDMA Transmission System in a Multicell Environment," IEEE Trans. Comm., vol. 55, no. 4, Apr. 2007, pp. 740-751.
  19. 3GPP TR 25.996 v6.1.0, "Spatial Channel Model for Multiple Input Multiple Output (MIMO) Simulations (Release 6)," Sept. 2003. Available: http://www.3gpp.org/ftp

Cited by

  1. Interference Management with Block Diagonalization for Macro/Femto Coexisting Networks vol.34, pp.3, 2012, https://doi.org/10.4218/etrij.12.0110.0793
  2. Precoder Distribution and Adaptive Codebook in Wideband Precoding vol.34, pp.5, 2012, https://doi.org/10.4218/etrij.12.0112.0072
  3. On Transmit Beamforming for MISO-OFDM Channels With Finite-Rate Feedback vol.63, pp.11, 2015, https://doi.org/10.1109/tcomm.2015.2475420