• DocumentCode
    1630296
  • Title

    Resource Modeling for a Joint Resource Management in Cognitive Radio

  • Author

    Marojevic, Vuk ; Salazar, José ; Revés, Xavier ; Gelonch, Antoni

  • Author_Institution
    Dept. of Signal Theor. & Commun., Univ. Politec. de Catalunya, Barcelona
  • fYear
    2008
  • Firstpage
    4175
  • Lastpage
    4180
  • Abstract
    Cognitive radio characterizes an ambient aware and software-defined radio system that is capable to autonomously and intelligently adjust the system parameters. It has the potential to optimize the usage of all relevant resources for service- driven wireless communications. We identify four types of resources; these are the radio, the computing, and the radio and user application resources. This paper presents their modeling, including several models for each resource type. The modeling serves as the basis for a joint resource management in a cognitive radio system that may eventually trade-off one resource (type) against the other(s). Two approaches for such a management are presented: a distributed-cooperative and a centralized- integrated. We finally discuss the applicability and utility of the proposed models, and the potentials of a joint resource management in cognitive radio in terms of user satisfaction and revenues.
  • Keywords
    cognitive radio; radio spectrum management; software radio; ambient aware radio system; centralized-integrated approach; cognitive radio; distributed-cooperative approach; joint resource management; resource modeling; service-driven wireless communications; software-defined radio system; Ambient intelligence; Application software; Cognitive radio; Intelligent systems; Manufacturing; Quality of service; Radio spectrum management; Rats; Resource management; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008. ICC '08. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2075-9
  • Electronic_ISBN
    978-1-4244-2075-9
  • Type

    conf

  • DOI
    10.1109/ICC.2008.784
  • Filename
    4533820