• DocumentCode
    2359130
  • Title

    A constrained optimization approach to nonlinear interference cancellation

  • Author

    Rasmussen, Lars K.

  • Author_Institution
    ACCESS Linnaeus Center, KTH-R. Inst. of Technol., Stockholm, Sweden
  • fYear
    2011
  • fDate
    19-21 Oct. 2011
  • Firstpage
    52
  • Lastpage
    57
  • Abstract
    Nonlinear interference cancellation has been successful as a low-complexity iterative detection strategy for multiple-input, multiple-output channels. However, such strategies are generally difficult to analyze. Here we develop a connection to constrained optimization through the use of penalty functions. The resulting framework provides a means of analysis, and includes known nonlinear cancellation schemes.
  • Keywords
    MIMO communication; interference suppression; iterative methods; optimisation; wireless channels; MIMO channel; constrained optimization approach; iterative detection; nonlinear interference cancellation; penalty functions; Approximation methods; Convergence; Decorrelation; Detectors; Interference cancellation; Optimization; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Technologies Workshop (Swe-CTW), 2011 IEEE Swedish
  • Conference_Location
    Stockholm
  • Print_ISBN
    978-1-4577-1877-9
  • Electronic_ISBN
    978-1-4577-1876-2
  • Type

    conf

  • DOI
    10.1109/Swe-CTW.2011.6082488
  • Filename
    6082488
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2359130