Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    A low complexity optimization algorithm for zero-forcing precoding under per-antenna power constraints

    Access Status
    Fulltext not available
    Authors
    Li, Bin
    Dam, Hai Huyen Heidi
    Teo, Kok Lay
    Cantoni, A.
    Date
    2015
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Li, B. and Dam, H.H. and Teo, K.L. and Cantoni, A. 2015. A low complexity optimization algorithm for zero-forcing precoding under per-antenna power constraints, IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 3078-3082. South Brisbane, QLD: IEEE.
    Source Title
    ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    Source Conference
    2015 IEEE International Conference on Acoustics, Speech, and Signal Processing
    DOI
    10.1109/ICASSP.2015.7178537
    ISBN
    9781467369978
    School
    Department of Mathematics and Statistics
    URI
    http://hdl.handle.net/20.500.11937/33960
    Collection
    • Curtin Research Publications
    Abstract

    Zero-forcing beamforming (ZFBF) is a popular pre-coding scheme for MIMO systems. Most of the studies in the literature are under total power constraints. However, the perantenna power constraints (PAPC) are more realistic. The state-of-the-art method is interior point method which is expensive to realize in practice due to the high computational complexity. Hence, a low complexity zero-forcing precoding scheme under the per-antenna power constraints is proposed in this paper. This is achieved by introducing a regularized dual method. Simulations are carried out to show the effectiveness of the proposed method, which has a low computational complexity. In addition, the algorithm can be implemented in parallel to further reduce the computational complexity.

    Related items

    Showing items related by title, author, creator and subject.

    • An adaptive antenna array processor with derivative constraints.
      Tuthill, John D. (1995)
      In antenna array processing it is generally required to enhance the reception or detection of a signal from a particular direction while suppressing noise and interference signals from other directions. An optimisation ...
    • A study of optimization and optimal control computation : exact penalty function approach
      Yu, Changjun (2012)
      In this thesis, We propose new computational algorithms and methods for solving four classes of constrained optimization and optimal control problems. In Chapter 1, we present a brief review on optimization and ...
    • Making the links between women’s health and women’s lives in Papua New Guinea: Implications for policy and health care delivery
      Hinton, Rachael (2009)
      International perspectives of women’s health have drawn on biomedical solutions and pathology-based aspects, and one of the main components of a changing and evolving definition of women’s health is to provide an alternative ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.