• DocumentCode
    163018
  • Title

    A Dynamic Embedding Algorithm for Wireless Network Virtualization

  • Author

    van de Belt, Jonathan ; Ahmadi, H. ; Doyle, Linda E.

  • Author_Institution
    CTVR - The Telecommun. Res. Centre, Univ. of Dublin, Dublin, Ireland
  • fYear
    2014
  • fDate
    14-17 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Wireless network virtualization enables multiple virtual wireless networks to coexist on shared physical infrastructure. However, one of the main challenges is the problem of assigning the physical resources to virtual networks in an efficient manner. Although some work has been done on solving the embedding problem for wireless networks, few solutions are applicable to dynamic networks with changing traffic patterns. In this paper we propose a dynamic greedy embedding algorithm for wireless virtualization. Virtual networks can be re-embedded dynamically using this algorithm, enabling increased resource usage and lower rejection rates. We compare the dynamic greedy algorithm to a static embedding algorithm and also to its dynamic version. We show that the dynamic algorithms provide increased performance to previous methods using simulated traffic. In addition we formulate the embedding problem with multiple priority levels for the static and dynamic case.
  • Keywords
    embedded systems; greedy algorithms; mobile communication; resource allocation; telecommunication traffic; virtualisation; dynamic embedding algorithm; dynamic greedy embedding algorithm; embedding problem; resource usage; simulated traffic; static embedding algorithm; traffic patterns; virtual wireless networks; wireless network virtualization; Dynamic scheduling; Heuristic algorithms; Resource management; Substrates; Time-frequency analysis; Virtualization; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2014 IEEE 80th
  • Conference_Location
    Vancouver, BC
  • Type

    conf

  • DOI
    10.1109/VTCFall.2014.6965811
  • Filename
    6965811