• DocumentCode
    2127240
  • Title

    A stochastic geometry approach to transmission capacity in wireless cooperative networks

  • Author

    Sheng, Zhengguo ; Goeckel, D.L. ; Leung, Kin K. ; Ding, Zhiguo

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Imperial Coll., London, UK
  • fYear
    2009
  • fDate
    13-16 Sept. 2009
  • Firstpage
    622
  • Lastpage
    626
  • Abstract
    In this paper, we employ a stochastic geometry model to analyze transmission capacity in wireless cooperative networks. Assuming that simultaneous transmitters are randomly located in space according to Poisson point process with density ¿, we develop the bound performances on outage probability and outage capacity for both direct transmission and Decode-and-Forward (DAF) cooperative scheme. Due to the nature of multipath propagation of cooperative transmission, we define regional capacity as the multiplied product of average density of successful simultaneous transmissions, achieved outage capacity and transmission distance. It shows that the regional capacity for cooperative transmission scales as ¿(¿(¿)), which is the same as the transport capacity for wireless network. Furthermore, Monte Carlo simulations demonstrate the significant improvement on the transmission capacity by using cooperative transmission.
  • Keywords
    radio networks; stochastic processes; Poisson point process; average density; decode-and-forward cooperative scheme; multipath propagation; outage capacity; outage probability; regional capacity; stochastic geometry model; transmission capacity; wireless cooperative networks; Decoding; Information geometry; Interference; Solid modeling; Stochastic processes; Stochastic systems; Telecommunication network reliability; Transmitters; Transmitting antennas; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium on
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-1-4244-5122-7
  • Electronic_ISBN
    978-1-4244-5123-4
  • Type

    conf

  • DOI
    10.1109/PIMRC.2009.5449858
  • Filename
    5449858