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A Multiple Weighting Matrices Selection Scheme Based on Orthogonal Random Beamforming for MIMO Downlink System

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Advances in Neural Networks – ISNN 2009 (ISNN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5553))

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Abstract

In this paper, a multiple weighting matrices selection scheme based on orthogonal random beamforming is discussed to increase the throughput of the multi-user MIMO systems. Multiple weighting matrices are performed and computed during the mini-slots. And the base station selects the best matrix based on the partial channel state information and performs the orthogonal random beamforming during the time slot. The proposed scheme over multi-user random beamforming can increase the throughput of multi-user MIMO system significantly, and the simulation results show the validity.

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References

  1. Viswanath, P., Tse, D.N.C., Laroia, R.: Opportunistic Beamforming Using Dumb Antennas. J. IEEE Transactions on Information Theory 48, 1277–1294 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  2. Caire, G., Shamai, S.: On the Achievable Throughput of A Multiantenna Gaussian Broadcast Channel. J. IEEE Transactions on Information Theory 49, 1691–1706 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  3. Yu, W., Cioffi, J.M.: Sum Capacity of Gaussian Vector Broadcast Channels. J. IEEE Transactions on Information Theory 50, 1875–1892 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  4. Weingarten, H., Steinberg, Y., Shamai, S.: The Capacity Region of the Gaussian MIMO Broadcast Channel. In: IEEE International Symposium on Information Theory, Chicago, p. 174 (2004)

    Google Scholar 

  5. Sharif, M., Hassibi, B.: On the Capacity of MIMO Broadcast Channels with Partial Side Information. J. IEEE Transactions on Information Theory 51, 506–522 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  6. Kountouris, M., Gesbert, D.: Robust Multi-user Opportunistic Beamforming for sparse networks. In: IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, New York, pp. 975–979 (2005)

    Google Scholar 

  7. Baran, I.R., Uchoa-Filho, B.F.: Exploiting Time Coherence in Opportunistic Beamforming for Slow Fading Channels. In: IEEE Wireless Communications and Networking Conference, Las Vegas, pp. 1753–1758 (2006)

    Google Scholar 

  8. Li, G., Yih-Fang, H.: An Opportunistic Downlink Mimo-Ofdm Scheme. In: IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 285–288 (2006)

    Google Scholar 

  9. Kountouris, M., Gesbert, D.: Memory-based Opportunistic Multi-user Beamforming. In: International Symposium on Information Theory Proceedings, pp. 1426–1430 (2005)

    Google Scholar 

  10. Il-Min, K., Seung-Chul, H., Ghassemzadeh, S.S., Tarokh, V.: Opportunistic Beamforming based on Multiple Weighting Vectors. J. IEEE Transactions on Wireless Communications 4, 2683–2687 (2005)

    Article  Google Scholar 

  11. Wan, C., Forenza, A., Andrews, J.G., Heath, R.W.: Opportunistic Space-Division Multiple Access With Beam Selection. J. IEEE Transactions on Communications 55, 2371–2380 (2007)

    Article  Google Scholar 

  12. Hassibi, B., Marzetta, T.L.: Multiple-antennas and Isotropically Random Unitary Inputs: The Received Signal Density in Closed Form. J. IEEE Transactions on Information Theory 48, 1473–1484 (2002)

    Article  MathSciNet  MATH  Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Tan, L., Su, G., Zhu, G., Shang, P. (2009). A Multiple Weighting Matrices Selection Scheme Based on Orthogonal Random Beamforming for MIMO Downlink System. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01513-7_94

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  • DOI: https://doi.org/10.1007/978-3-642-01513-7_94

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01512-0

  • Online ISBN: 978-3-642-01513-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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