• DocumentCode
    688117
  • Title

    SINR-constrained power minimization in MISO interference channel with imperfect CSI: A Bernstein Approximation approach

  • Author

    Weiqiang Xu ; Xiaodong Wang ; Alshomrani, Saleh

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Zhejiang Sci-Tech Univ., Hangzhou, China
  • fYear
    2013
  • fDate
    9-13 Dec. 2013
  • Firstpage
    4216
  • Lastpage
    4220
  • Abstract
    We consider SINR-constrained power minimization in MISO interference channel with imperfect channel state information (CSI). The problems is formulated as probability-constrained optimization problems. We make use of the Bernstein approximation to conservatively transform the probabilistic constraints into deterministic ones, and consequently convert the original stochastic optimization problems into convex optimization problems. Extensive simulation results are provided to demonstrate the effectiveness of the proposed method.
  • Keywords
    approximation theory; convex programming; electromagnetic interference; probability; telecommunication channels; Bernstein approximation approach; MISO interference channel; SINR-constrained power minimization; convex optimization problems; imperfect CSI; imperfect channel state information; multiple-input single-output; probability-constrained optimization problems; stochastic optimization problems; Approximation methods; Interference channels; Optimization; Receivers; Robustness; Signal to noise ratio; Bernstein approximation; Multiple-input single-output (MISO); power control; probability-constrained optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2013 IEEE
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2013.6831735
  • Filename
    6831735