• DocumentCode
    2344676
  • Title

    Energy-efficient MIMO SVD communications

  • Author

    Rosas, Fernando ; Oberli, Christian

  • Author_Institution
    Dept. of Electr. Eng., Pontificia Univ. Catolica de Chile, Santiago, Chile
  • fYear
    2012
  • fDate
    9-12 Sept. 2012
  • Firstpage
    1588
  • Lastpage
    1593
  • Abstract
    Multiple-input multiple-output (MIMO) techniques can be used for reducing the energy consumption of wireless communications. Although some research has been reported on this topic, the rules by which the MIMO physical layer parameters should be chosen in order to achieve energy efficiency have not yet been formally established. In this paper, we analyze the case of MIMO singular value decomposition (SVD) technique. We present a model for the mean energy consumption of a MIMO SVD system per data bit transferred without error. We find that, for a given number of eigenchannels used with equal power allocation, exists a single optimal radiation power level at which the mean energy consumption is minimized. We also find that beamforming (only the best eigenchannel is used) is optimal in the energy consumption sense for long transmission distances, while the optimal number of eigenchannels to be used grows as transmission distance shortens. Using all the eigenchannels is optimal only for very short transmission distances.
  • Keywords
    MIMO communication; array signal processing; energy consumption; singular value decomposition; wireless channels; MIMO physical layer parameters; beamforming; eigen channels; energy consumption reduction; energy efficiency; energy-efficient MIMO SVD communications; multiple-input multiple-output techniques; optimal radiation power level; power allocation; singular value decomposition; wireless communications; Energy consumption; Fading; MIMO; Receivers; Signal to noise ratio; Transceivers; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal Indoor and Mobile Radio Communications (PIMRC), 2012 IEEE 23rd International Symposium on
  • Conference_Location
    Sydney, NSW
  • ISSN
    2166-9570
  • Print_ISBN
    978-1-4673-2566-0
  • Electronic_ISBN
    2166-9570
  • Type

    conf

  • DOI
    10.1109/PIMRC.2012.6362601
  • Filename
    6362601