Table of Contents Author Guidelines Submit a Manuscript
Journal of Electrical and Computer Engineering
Volume 2010, Article ID 915653, 9 pages
http://dx.doi.org/10.1155/2010/915653
Research Article

Decentralized Limited-Feedback Multiuser MIMO for Temporally Correlated Channels

Department of Signal Processing and Acoustics, Aalto University School of Science and Technology, P.O. Box 13000, 00076 Aalto, Finland

Received 9 December 2009; Revised 25 March 2010; Accepted 26 May 2010

Academic Editor: Markku Juntti

Copyright © 2010 Eduardo Zacarías B et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. V. Stankovic and M. Haardt, “Generalized design of multi-user MIMO precoding matrices,” IEEE Transactions on Wireless Communications, vol. 7, no. 3, pp. 953–961, 2008. View at Publisher · View at Google Scholar
  2. K.-K. Wong, R. D. Murch, and K. B. Letaief, “A joint-channel diagonalization for multiuser MIMO antenna systems,” IEEE Transactions on Wireless Communications, vol. 2, no. 4, pp. 773–786, 2003. View at Google Scholar
  3. N. Ravindran and N. Jindal, “Limited feedback-based block diagonalization for the MIMO broadcast channel,” IEEE Journal on Selected Areas in Communications, vol. 26, no. 8, pp. 1473–1482, 2008. View at Publisher · View at Google Scholar
  4. B. Song, F. Roemer, and M. Haardt, “Efficient channel quantization scheme for multi-user MIMO broadcast channels with RBD precoding,” in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '08), pp. 2389–2392, Las Vegas, Nev, USA, April 2008. View at Publisher · View at Google Scholar
  5. J. H. Winters, “Optimum combining in digital mobile radio with cochannel interference,” IEEE Transactions on Vehicular Technology, vol. 33, no. 3, pp. 144–155, 1984. View at Google Scholar
  6. E. Zacarías, S. Werner, and R. Wichman, “Distributed Jacobi eigen-beamforming for closed-loop MIMO systems,” IEEE Communications Letters, vol. 10, no. 12, pp. 825–827, 2006. View at Publisher · View at Google Scholar
  7. E. Zacarías, S. Werner, and R. Wichman, “Enhanced partial update beamforming for closed loop MIMO systems,” in Proceedings of the IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC '06), Helsinki, Finland, September 2006. View at Publisher · View at Google Scholar
  8. A. L. Anderson, J. R. Zeidler, and M. A. Jensen, “Reduced-feedback linear precoding with stable performance for the time-varying MIMO broadcast channel,” IEEE Journal on Selected Areas in Communications, vol. 26, no. 8, pp. 1483–1493, 2008. View at Publisher · View at Google Scholar
  9. J. C. Bezdek and R. J. Hathaway, “Some notes on alternating optimization,” in Advances in Soft Computing—AFSS 2002, vol. 2275 of Lecture Notes In Computer Science, Springer, Berlin, Germany, 2002. View at Google Scholar
  10. G. H. Golub and C. F. Van Loan, Matrix Computations, The Johns Hopkins University Press, Baltimore, Md, USA, 2nd edition, 1989.
  11. 3GPP, “Evolved Universal Terrestrial Radio Access (E-UTRA); Multiplexing and channel coding,” 3rd Generation Partnership Project (3GPP), TS 36.212, September 2008, http://www.3gpp.org/ftp/Specs/html-info/36212.htm.
  12. B. Bandemer, M. Haardt, and S. Visuri, “Linear MMSE multi-user MIMO downlink precoding for users with multiple antennas,” in Proceedings of the IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications, (PIMRC '06), Helsinki, Finland, September 2006. View at Publisher · View at Google Scholar
  13. Y. Linde, A. Buzo, and R. M. Gray, “An algorithm for vector quantizer design,” IEEE Transactions on Communications Systems, vol. 28, no. 1, pp. 84–95, 1980. View at Google Scholar
  14. A. Narula, M. J. Lopez, M. D. Trott, and G. W. Wornell, “Efficient use of side information in multiple-antenna data transmission over fading channels,” IEEE Journal on Selected Areas in Communications, vol. 16, no. 8, pp. 1423–1436, 1998. View at Google Scholar
  15. J. H. Kim, W. Zirwas, and M. Haardt, “Efficient feedback via subspace-based channel quantization for distributed cooperative antenna systems with temporally correlated channels,” EURASIP Journal on Advances in Signal Processing, vol. 2008, Article ID 847296, 13 pages, 2008. View at Publisher · View at Google Scholar
  16. B. Mondal and R. W. Heath Jr., “Channel adaptive quantization for limited feedback MIMO beamforming systems,” IEEE Transactions on Signal Processing, vol. 54, no. 12, pp. 4717–4729, 2006. View at Publisher · View at Google Scholar
  17. V. Raghavan, R. W. Heath Jr., and A. M. Sayeed, “Systematic codebook designs for quantized beamforming in correlated MIMO channels,” IEEE Journal on Selected Areas in Communications, vol. 25, no. 7, pp. 1298–1310, 2007. View at Publisher · View at Google Scholar
  18. J. C. Roh and B. D. Rao, “Efficient feedback methods for MIMO channels based on parameterization,” IEEE Transactions on Wireless Communications, vol. 6, no. 1, pp. 282–292, 2007. View at Publisher · View at Google Scholar
  19. N. S. Jayant, “Digital coding of speech waveforms: PCM, DPCM, and DM quantizers,” Proceedings of the IEEE, vol. 62, no. 5, pp. 611–632, 1974. View at Google Scholar