• DocumentCode
    1846837
  • Title

    Fixed-complexity vector perturbation with block diagonalization for MU-MIMO systems

  • Author

    Mohaisen, Manar ; Hui, Bing ; Chang, KyungHi ; Ji, Seunghwan ; Joung, Jinsoup

  • Author_Institution
    Grad. Sch. of IT & T, Inha Univ., Incheon, South Korea
  • fYear
    2009
  • fDate
    15-17 Dec. 2009
  • Firstpage
    238
  • Lastpage
    243
  • Abstract
    Block diagonalization (BD) is an attractive technique that transforms the multi-user multiple-input multiple-output (MU-MIMO) channel into parallel single-user MIMO (SU-MIMO) channels with zero inter-user interference (IUI). In this paper, we combine the BD technique with two deterministic vector perturbation (VP) algorithms that reduce the transmit power in MU-MIMO systems with linear precoding. These techniques are the fixed-complexity sphere encoder (FSE) and the QR-decomposition with M-algorithm encoder (QRDM-E). In contrast to the conventional BD VP technique, which is based on the sphere encoder (SE), the proposed techniques have fixed complexity and a tradeoff between performance and complexity can be achieved by controlling the size of the set of candidates for the perturbation vector. Simulation results and analysis demonstrate the properness of the proposed techniques for the next generation mobile communications systems which are latency and computational complexity limited. In MU-MIMO system with 4 users each equipped with 2 receive antennas, simulation results show that the proposed BD-FSE and BD-QRDM-E outperforms the conventional BD-THP (Tomlinson Harashima precoding) by 5.5 and 7.4 dB, respectively, at a target BER of 10-4.
  • Keywords
    MIMO communication; antenna arrays; computational complexity; error statistics; mobile communication; multiuser channels; precoding; receiving antennas; BER; MU-MIMO Systems; QR-decomposition with M-algorithm encoder; Tomlinson Harashima precoding; bit error rate; block diagonalization technique; computational complexity; deterministic vector perturbation algorithms; fixed-complexity sphere encoder; fixed-complexity vector perturbation; interuser interference; linear precoding; multiuser multiple-input multiple-output channel; next generation mobile communication systems; receive antennas; single-user MIMO channels; Analytical models; Communication system control; Computational complexity; Computational modeling; Delay; Interference; MIMO; Mobile communication; Size control; Vectors; Block Diagonalization; Multi-user MIMO; QRD-M Encoder; Sphere Encoder; Vector Perturbation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (MICC), 2009 IEEE 9th Malaysia International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-5531-7
  • Type

    conf

  • DOI
    10.1109/MICC.2009.5431503
  • Filename
    5431503