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Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Novel SINR-Based User Selection for an MU-MIMO System with Limited Feedback

  • Kum, Donghyun (Department of Electronics and Computer Engineering, Hanyang University) ;
  • Kang, Daegeun (Mobile Communication Research Center, LG Electronics) ;
  • Choi, Seungwon (Department of Electronics and Computer Engineering, Hanyang University)
  • Received : 2013.03.20
  • Accepted : 2013.06.19
  • Published : 2014.02.01
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Abstract

This paper presents a novel user selection method based on the signal-to-interference-plus-noise ratio (SINR), which is approximated using limited feedback data at the base stations (BSs) of multiple user multiple-input multiple-output (MU-MIMO) systems. In the proposed system, the codebook vector index, the quantization error obtained from the correlation between the measured channel and the codebook vector, and the measured value of the largest singular value are fed back from each user to the BS. The proposed method not only generates precoding vectors that are orthogonal to the precoding vectors of the previously selected users and are highly correlated with the codebook vector of each user but also adopts the quantization error in approximating the SINR, which eventually provides a significantly more accurate SINR than the conventional SINR-based user selection techniques. Computer simulations show that the proposed method enhances the sum rate of the conventional SINR-based methods by at least 2.4 (2.62) bps/Hz when the number of transmit antennas and number of receive antennas per user terminal is 4 and 1(2), respectively, with 100 candidate users and an SNR of 30 dB.

Keywords

References

  1. F. Perez-Cruz, M.R. Rodrigues, and S. Verdu, "MIMO Gaussian Channels with Arbitrary Inputs: Optimal Precoding and Power Allocation," IEEE Trans. Inf. Theory, vol. 56, no. 3, Mar. 2010, pp. 1070-1084. https://doi.org/10.1109/TIT.2009.2039045
  2. S. Mishra and D.S. Chauhan, "Link Level Performance of Multiple Input Multiple Output (MIMO) System," Int. J. Control Autom., vol. 2, no. 3, Sept. 2009, pp. 29-42.
  3. T. Yoo and A. Goldsmith, "On the Optimality of Multiantenna Broadcast Scheduling Using Zero-Forcing Beamforming," IEEE J. Sel. Areas Commun., vol. 24, no. 3, Mar. 2006, pp. 528-541. https://doi.org/10.1109/JSAC.2005.862421
  4. N. Jindal, "MIMO Broadcast Channels with Finite-Rate Feedback," IEEE Trans. Inf. Theory, vol. 52, no. 11, Nov. 2006, pp. 5045-5060. https://doi.org/10.1109/TIT.2006.883550
  5. S. Li et al., "R Bits User Selection Switch Feedback for Zero Forcing MU-MIMO Based on Low Rate Codebook," EURASIP J. Wireless Commun. Netw., vol. 2012, no. 1, Jan. 2012, pp. 1-12. https://doi.org/10.1186/1687-1499-2012-1
  6. X. Xia et al., "Leakage-Based User Scheduling in MU-MIMO Broadcast Channel," Sci. China Series F: Inf. Sci., vol. 52, no.12, Dec. 2009, pp. 2259-2268. https://doi.org/10.1007/s11432-009-0214-6
  7. X. Xia et al., "Joint User Pairing and Precoding in MU-MIMO Broadcast Channel with Limited Feedback," IEEE Commun. Lett., vol. 14, no. 11, Nov. 2010, pp. 1032-1034. https://doi.org/10.1109/LCOMM.2010.100810.101137
  8. C. Shin and H. Go, "Efficient User Scheduling Algorithm for Enhancing Zero-Forcing Beamforming in MIMO Broadcast Channels," IEICE Trans. Commun., vol. E94-B, no. 10, Oct. 2011, pp. 2908-2911. https://doi.org/10.1587/transcom.E94.B.2908
  9. J. Karedal et al., "A MIMO Channel Model for Wireless Personal Area Networks," IEEE Trans. Wireless Commun., vol. 9, no. 1, Jan. 2010, pp. 245-255. https://doi.org/10.1109/TWC.2010.01.090034
  10. Z. Shen et al., "Low Complexity User Selection Algorithms for Multiuser MIMO Systems with Block Diagonalization," IEEE Trans. Signal Process., vol. 54, no. 9, Sept. 2006, pp. 3658-3663. https://doi.org/10.1109/TSP.2006.879269
  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. https://doi.org/10.1109/TIT.2003.817466
  12. I.S. Dhillon et al., "Constructing Packings in Grassmannian Manifolds via Alternating Projection," Experimental Mathematics, vol 17, no. 1, Jan. 2008, pp. 9-35. https://doi.org/10.1080/10586458.2008.10129018

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