• DocumentCode
    2294245
  • Title

    Capacity Estimation of Peer-to-Peer Networks based on a Flow Deviation Approach

  • Author

    Tan, Michael ; Acampora, Anthony

  • Author_Institution
    Univ. of California, San Diego
  • fYear
    2007
  • fDate
    3-7 Sept. 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    We consider a wireless network with n peer-to-peer nodes that are randomly distributed over some service area. Given the traffic and channel gain matrix, we use the flow deviation (FD) method to find an upper bound on the achievable capacity of the network, assuming no interference. In addition, we show that the achievable capacity without interference is lower- bounded by 2/3 of the upper bound in special cases and 1/3 of the upper bound in the worst case.
  • Keywords
    channel capacity; channel estimation; matrix algebra; peer-to-peer computing; radio networks; telecommunication traffic; capacity estimation; channel gain matrix; flow deviation approach; peer-to-peer networks; wireless network; Additive white noise; Background noise; Gaussian noise; Interference; Peer to peer computing; Telecommunication traffic; Throughput; USA Councils; Upper bound; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal, Indoor and Mobile Radio Communications, 2007. PIMRC 2007. IEEE 18th International Symposium on
  • Conference_Location
    Athens
  • Print_ISBN
    978-1-4244-1144-3
  • Electronic_ISBN
    978-1-4244-1144-3
  • Type

    conf

  • DOI
    10.1109/PIMRC.2007.4394306
  • Filename
    4394306