Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Power Randomization Schemes for Random Beamforming Based MIMO Systems

  • Jung, Bang-Chul (Dept. of Information and Communication Engineering and the Institute of Marine Industry, Collage of Marine Science, Gyeongsang National University) ;
  • Sung, Kil-Young (Dept. of Information and Communication Engineering and the Institute of Marine Industry, Collage of Marine Science, Gyeongsang National University)
  • Received : 2010.10.19
  • Accepted : 2010.11.15
  • Published : 2010.12.31
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Abstract

In this paper, we propose two power randomization schemes for the random beamforming (RBF) based MIMO systems in cellular downlink. In the proposed system, a BS randomizes not only the pre-coding matrix but also the power allocation matrix, while the conventional RBF system allocates an equal power to each transmit stream. The proposed water-filling based power randomization scheme (Scheme-I) is proper in the low SNR values and the proposed random-power based randomization scheme (Scheme-II) is proper in the high SNR values. The proposed system with the power randomization outperforms the conventional RBF system which allocates the same power for each data stream.

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References

  1. G. Caire and S. Shamai, "On the achievable throughput of a multiantenna Gaussian broadcast channel", IEEE Trans. on Information Theory, Vol. 49, No. 7, pp. 1691-1706, July 2003. https://doi.org/10.1109/TIT.2003.813523
  2. P. Viswanath and D. N. C. Tse, "Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality", IEEE Trans. on Information Theory, Vol. 49, No. 8, pp. 1912-1921, Aug. 2003. https://doi.org/10.1109/TIT.2003.814483
  3. S. Vishwanath, N. Jindal, and A. Goldsmith, "Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels", IEEE Trans. on Information Theory, Vol. 49, No. 10, pp. 2658-2668, Oct. 2003. https://doi.org/10.1109/TIT.2003.817421
  4. K. -K. Wong, R. D. Murch, and K. B. Letaief, "Performance enhancement of multiuser MIMO wireless communication systems", IEEE Trans. on Communications, Vol. 50, No. 12, pp. 1960-1970, Dec. 2002. https://doi.org/10.1109/TCOMM.2002.806503
  5. M. H. M. Costa, "Writing on dirty paper", IEEE Trans. on Information Theory, Vol. 29, No. 3, pp. 439-441, May 1983. https://doi.org/10.1109/TIT.1983.1056659
  6. P. Viswanath, D. N. C. Tse, and R. Laroia, "Opportunistic beamforming using dumb antennas", IEEE Trans .on Information Theory, Vol. 48, No. 6, pp. 1277-1294, June 2002. https://doi.org/10.1109/TIT.2002.1003822
  7. M. Sharif and B. Hassibi, "On the capacity of MIMO broadcast channels with partial side information", IEEE Trans. on Information Theory, Vol. 51, No. 2, pp. 506-522, Feb. 2005. https://doi.org/10.1109/TIT.2004.840897
  8. J. Chung, C. -S. Hwang, K. Kim, and Y. K. Kim, "A random beamforming technique in MIMO systems exploiting multiuser diversity", IEEE Journal of Sel. Areas in Communi., Vol. 21, No. 5, pp. 848-855, June 2003. https://doi.org/10.1109/JSAC.2003.810355