• DocumentCode
    1151561
  • Title

    Capacity estimation of wireless ad hoc networks in fading channels

  • Author

    Rezagah, Roya E. ; Mohammadi, Arash

  • Author_Institution
    Electr. Eng. Dept., Amirkabir Univ. of Technol., Tehran, Iran
  • Volume
    3
  • Issue
    2
  • fYear
    2009
  • fDate
    2/1/2009 12:00:00 AM
  • Firstpage
    293
  • Lastpage
    302
  • Abstract
    The authors employ a statistical method to characterise the wireless ad hoc network capacity problem. The channel parameters such as path loss and fading are considered in the analysis. Moreover, a simulation method based on the probability density function of signal-to-interference-plus-noise power-ratio is introduced. In both analysis and simulation, two receiving methods, matched filter (MF) and minimum-mean-square-error (MMSE) detector, are considered. After establishing the accuracy of the analytic approximation and comparing its results with simulation results, the scalability of a random network is studied. Moreover, the outage and ergodic capacities are determined for various network and channel parameters. It is shown that when MMSE detector is used in the network, the capacity is higher than when MF is used. When number of the nodes increases the total ergodic capacity raises, but per node capacity reduces when using both MF and MMSE detectors. It is shown that the total outage capacity reaches a maximum. This leads to the conclusion that an optimum value for the number of nodes in the network exists, which maximises the outage capacity.
  • Keywords
    ad hoc networks; channel capacity; channel estimation; fading channels; least mean squares methods; matched filters; probability; signal detection; capacity estimation; ergodic capacity; fading channel parameter; matched filter; minimum-mean-square-error detector; outage capacity; probability density function; signal-to-interference-plus-noise power-ratio; simulation method; statistical method; wireless ad hoc network;
  • fLanguage
    English
  • Journal_Title
    Communications, IET
  • Publisher
    iet
  • ISSN
    1751-8628
  • Type

    jour

  • DOI
    10.1049/iet-com:20080136
  • Filename
    4777683