• DocumentCode
    1422436
  • Title

    New Beamforming Techniques Based on Virtual SINR Maximization for Coordinated Multi-Cell Transmission

  • Author

    Park, Seok-Hwan ; Park, Haewook ; Kong, Hanbae ; Lee, Inkyu

  • Author_Institution
    Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
  • Volume
    11
  • Issue
    3
  • fYear
    2012
  • fDate
    3/1/2012 12:00:00 AM
  • Firstpage
    1034
  • Lastpage
    1044
  • Abstract
    In this paper, we propose new beamforming techniques based on virtual signal-to-interference-plus-noise ratio (VSINR) for weighted sum-rate (WSR) maximization in coordinated multi-cell transmission. In earlier works based on the VSINR maximization, the parameters which control the interference power and the noise variance were set to fixed values regardless of channel realizations and the signal-to-noise ratio level. In order to obtain an improved WSR performance, we propose a method which adaptively adjusts the parameters after establishing a connection between the WSR and VSINR. Our proposed method can be applied to the cases of various coordination levels among base stations. To address practical implementation issues, a decentralized implementation of the beamforming techniques is also proposed based on local channel state information. Numerical results confirm that the proposed centralized schemes provide near-optimal WSR performance and the proposed decentralized methods show a negligible performance loss compared to the centralized algorithms with reduced system complexity.
  • Keywords
    array signal processing; cellular radio; radiofrequency interference; telecommunication channels; MIMO network; VSINR maximization; channel realization; coordinated multicell transmission; coordination levels; decentralized implementation; interference power control; local channel state information; near-optimal WSR performance; negligible performance loss; noise variance; practical implementation issues; signal-to-noise ratio level; system complexity reduction; virtual SINR maximization-based new beamforming techniques; virtual signal-to-interference-plus-noise ratio; weighted sum-rate maximization; Antennas; Approximation methods; Array signal processing; Equations; Interference; Signal to noise ratio; Vectors; Beamforming; inter-cell interference; multi-cell systems; network MIMO; weighted sum-rate;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2012.011012.110156
  • Filename
    6130547