• DocumentCode
    2364827
  • Title

    Improved iterative Water-Filling algorithm in MUMIMO system

  • Author

    Dongyan Zhao ; Zesong Fei ; Shuo Li ; Jingming Kuang

  • Author_Institution
    Dept. of E.E., Beijing Inst. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    173
  • Lastpage
    178
  • Abstract
    In this paper, an efficient user selection method for traditional iterative Water-Filling algorithm in Gaussian multiuser broadcast channel is developed to reduce the computational complexity. The new algorithm selects some effective users from all the users, and then allocates the entire power among the selected users applying Water-Filling algorithm. The vector Gaussian broadcast channel and the matrix Gaussian broadcast channel are considered respectively and the corresponding user selection methods are proposed. Theoretical analysis and simulation results show that the new algorithm can significantly improve the computational efficiency of the traditional iterative Water-Filling power allocation and can obtain almost the optimal sum capacity.
  • Keywords
    Gaussian channels; MIMO communication; broadcast channels; communication complexity; iterative methods; multi-access systems; wireless channels; Gaussian multiuser broadcast channel; MU-MIMO system; computational complexity; iterative water-filling algorithm; matrix Gaussian broadcast channel; power allocation; user selection; Iterative Water-Fiiiling algorithm; multi-user diversity; power allocation; sum capacity; user selection;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Wireless, Mobile and Multimedia Networks (ICWMNN 2010), IET 3rd International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1049/cp.2010.0645
  • Filename
    5702983