• DocumentCode
    2780123
  • Title

    Orthogonality-Based User and Receive Antenna Selection for MIMO Broadcast Channels

  • Author

    Wang, Xinlei ; Li, Yabo ; Zhang, Zhaoyang

  • Author_Institution
    Dept. of Inf. Sci. & Electr. Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2012
  • fDate
    3-6 Sept. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In MIMO broadcast channels, the Block Diagonalization (BD) transmit precoding performs better than the Zero-Forcing (ZF) transmit precoding when the user equipment has multiple receive antennas and can support multiple data streams. The number of users simultaneously supported by BD is much less than the total number of users in the system, so selecting proper users and/or receive antennas is important to achieve high overall sum capacity. So far, the capacity-based and norm-based user and receive antenna selection algorithms are proposed, which are greedy based and have much lower complexity than the brute-force based algorithms. In this paper, the orthogonality-based user and receive antenna selection algorithms are employed. The idea of the algorithm is simple, however, we show by detailed complexity analysis and extensive simulations that the orthogonality-based user and receive antenna selection achieves much better complexity and performance tradeoff than the existing capacity-based and norm-based algorithms. So, the orthogonality-based algorithms are more attractive for practical MIMO broadcast systems.
  • Keywords
    MIMO communication; broadcast channels; communication complexity; precoding; receiving antennas; MIMO broadcast channel; block diagonalization transmit precoding; capacity-based user selection algorithm; complexity analysis; norm-based user selection algorithm; orthogonality-based user antenna selection; receive antenna selection; Algorithm design and analysis; Complexity theory; MIMO; Receiving antennas; Scheduling; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2012 IEEE
  • Conference_Location
    Quebec City, QC
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4673-1880-8
  • Electronic_ISBN
    1090-3038
  • Type

    conf

  • DOI
    10.1109/VTCFall.2012.6398894
  • Filename
    6398894