• DocumentCode
    2934267
  • Title

    A Channel Statistic Based Power Allocation in a Butterfly Wireless Network with Network Coding

  • Author

    Zhan, Ao ; He, Chen ; Jiang, Lingge

  • Author_Institution
    Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2010
  • fDate
    23-27 May 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    An amplified-and-forward network coded protocol (ANCP) is proved to achieve excellent network performance. In this paper, we first drive the closed-form expression of the system outage probability in the high SNR regime, based on ANCP protocol in a classical butterfly wireless network. However the complex expression is a bottleneck of developing power allocation. Then we approximate the expression with a simplified version and propose power allocation strategies with a closed form, only requiring statistical channel state information (CSI). Finally, it is shown that the closed-form expression almost overlap the curve of the system outage probability by Monte Carlo simulation in the high SNR regime and the simplified version is very close to the simulation curve. Moreover, it is validated that the proposed power allocation strategies achieve a large signal-noise ratio (SNR) gain over the system without power allocation strategies.
  • Keywords
    Monte Carlo methods; channel coding; hypercube networks; network coding; probability; protocols; radio networks; ANCP protocol; Monte Carlo simulation; amplified-and-forward network coded protocol; butterfly wireless network; channel statistic based power allocation; high SNR regime; network coding; network performance; signal-noise ratio gain; statistical channel state information; system outage probability; Additive noise; Closed-form solution; Fading; Network coding; Power system modeling; Probability; Relays; Statistics; Wireless application protocol; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications Workshops (ICC), 2010 IEEE International Conference on
  • Conference_Location
    Capetown
  • Print_ISBN
    978-1-4244-6824-9
  • Type

    conf

  • DOI
    10.1109/ICCW.2010.5503953
  • Filename
    5503953