• DocumentCode
    2657143
  • Title

    A Per-User Successive MMSE Precoding Technique in Multiuser MIMO Systems

  • Author

    Lee, Min ; Oh, Seong Keun

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Ajou Univ., Suwon
  • fYear
    2007
  • fDate
    22-25 April 2007
  • Firstpage
    2374
  • Lastpage
    2378
  • Abstract
    We propose a per-user successive minimum mean-squared error (PU-SMMSE) precoding technique suitable for the use in multiuser multiple-input multiple-output (MU-MIMO) downlink systems. Its preceding complexity is much simpler as compared with that of the successive MMSE (SMMSE) technique (V. Stankovic and M. Haardt, 2004), without any performance loss. The new technique also takes both the high capacity benefit achievable with MIMO multiplexing and the benefit of space division multiple access (SDMA), assuming channel state information (CSI) at both the transmitter and receiver sides. In the new technique, the columns of the precoding matrix are obtained by computing successively reduced-rank MMSE precoding solutions on a per-user basis. Then, a per-user virtual channel which consists of the per-user channel through precoding is decomposed into orthogonal transmission modes. Finally, a proper power assignment can be applied to the decomposed modes according to some assignment policy. We compare the proposed technique with the SMMSE technique in terms of the bit error rate (BER) performance. We also analyze the computational complexity of the PU-SMMSE technique in comparison with the SMMSE and BD techniques. From computer simulations and complexity analyses, we see that the PU-SMMSE and SMMSE techniques have the same BER performance in both cases of dominant mode transmission (DMT) and multiple mode transmission (MMT). However, the computational complexity of the proposed technique is much lower than that of the SMMSE technique, and also is lower than that of the simple block diagonalization (BD) technique.
  • Keywords
    MIMO communication; error statistics; least mean squares methods; matrix algebra; multiuser channels; precoding; radio links; space division multiple access; BER; CSI; MMSE precoding technique; SDMA; bit error rate; block diagonalization; channel state information; dominant mode transmission; minimum mean-squared error; multiple mode transmission; multiuser MIMO systems; multiuser multiple-input multiple-output downlink systems; precoding matrix; receiver; space division multiple access; transmitter; Bit error rate; Channel state information; Computational complexity; Computer simulation; Downlink; MIMO; Matrix decomposition; Multiaccess communication; Performance loss; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2007. VTC2007-Spring. IEEE 65th
  • Conference_Location
    Dublin
  • ISSN
    1550-2252
  • Print_ISBN
    1-4244-0266-2
  • Type

    conf

  • DOI
    10.1109/VETECS.2007.490
  • Filename
    4212918