• DocumentCode
    1762398
  • Title

    Balancing Weighted Substreams in MIMO Interference Channels

  • Author

    Yetis, Cenk M. ; Yong Zeng ; Anand, Kushal ; Yong Liang Guan ; Gunawan, Erry

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Mevlana Univ., Konya, Turkey
  • Volume
    3
  • Issue
    5
  • fYear
    2014
  • fDate
    Oct. 2014
  • Firstpage
    513
  • Lastpage
    516
  • Abstract
    Substreams refer to the streams of each user in a system. Substream weighting, where the weights determine the prioritization order, can be important in multiple-input multiple-output interference channels. In this letter, a distributed algorithm is proposed for the problem of power minimization subject to weighted SINR constraint. The algorithm is based on two basic features, the well-known distributed power control algorithm by Yates in 1995 and a simple linear search to find feasible SINR targets. The power control law used in the proposed algorithm is proven to linearly converge to a unique fixed point.
  • Keywords
    MIMO communication; distributed algorithms; minimisation; radiofrequency interference; MIMO interference channels; distributed power control algorithm; multiple input multiple output interference channel; power minimization; substream weighting; weighted SINR constraint; weighted substream balancing; Array signal processing; Interference channels; MIMO; Power control; Signal to noise ratio; Vectors; MIMO; interference channel; substream balancing; weighted SINR;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    2162-2337
  • Type

    jour

  • DOI
    10.1109/LWC.2014.2336247
  • Filename
    6857400