• DocumentCode
    1680457
  • Title

    Internodal Distance Distribution and Power Control for Coexisting Radio Networks

  • Author

    Babaei, Alireza ; Jabbari, Bijan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., George Mason Univ., Fairfax, VA
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In cognitive radio networks, we assume that primary and secondary nodes form a bivariate spatial Poisson point process. In this paper, we derive the probability distribution and some statistics of the internodal distances between nodes of different types. When the number of primary and secondary nodes are weakly correlated, we devise two power control strategies with (i) constant power levels and (ii) power levels decreasing/ increasing with distance, which assure satisfaction of interference constraint at the primary nodes with some given probability. For the second strategy, it is sufficient for the nth secondary neighbor of a primary node to know n in order to satisfy the interference constraint. Furthermore, n can be found if secondary nodes exchange their relative positional information and can be assumed fixed if the rate of change in relative nodal positions, due to mobility of nodes, is slower than the minimum time required for power control.
  • Keywords
    cognitive radio; interference (signal); power control; probability; stochastic processes; telecommunication control; bivariate spatial Poisson point process; coexisting radio networks; cognitive radio networks; interference constraint; internodal distance distribution; internodal distances; power control strategy; probability distribution; relative nodal positions; relative positional information; Cognitive radio; Computer networks; Distributed computing; Interference constraints; Peer to peer computing; Power control; Probability distribution; Radio network; Statistical distributions; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
  • Conference_Location
    New Orleans, LO
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-2324-8
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2008.ECP.583
  • Filename
    4698358