• DocumentCode
    3031507
  • Title

    Channel Assignment Based on Routing Decisions (CARD): Traffic-Dependent Topology Control for Multi-Channel Networks

  • Author

    Irwin, Ryan E. ; DaSilva, Luiz A.

  • Author_Institution
    Bradley Dept. of Electr. & Comput. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
  • fYear
    2009
  • fDate
    14-18 June 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Dynamic spectrum access (DSA) holds the promise for more efficient utilization of the spectrum, while requiring greater cooperation between PHY, MAC, and NET layers to allocate resources and dynamically react to changing network conditions. In this paper, we propose channel assignment based on routing decisions (CARD), a mechanism that combines channel assignment and topology control so that at any given time the cognitive network self-organizes into the topology that is best suited to support the current offered traffic. CARD is a distributed mechanism, and each network node relies on local information only. We show that CARD results in an improvement in route length (and, thus, end-to-end delay), aggregate network capacity, and, in some situations, energy efficiency.
  • Keywords
    channel allocation; cognitive radio; telecommunication congestion control; telecommunication network routing; telecommunication network topology; telecommunication traffic; CARD; MAC layer; NET layer; PHY layer; channel assignment based on routing decisions; cognitive network; distributed mechanism; dynamic spectrum access; multichannel networks; network capacity aggregation; resource allocation; traffic-dependent topology control; Aggregates; Communication system traffic control; Energy efficiency; Interference; Media Access Protocol; Network topology; Physical layer; Process design; Resource management; Routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications Workshops, 2009. ICC Workshops 2009. IEEE International Conference on
  • Conference_Location
    Dresden
  • Print_ISBN
    978-1-4244-3437-4
  • Type

    conf

  • DOI
    10.1109/ICCW.2009.5208059
  • Filename
    5208059