• DocumentCode
    3609957
  • Title

    An intelligent SDN framework for 5G heterogeneous networks

  • Author

    Songlin Sun ; Liang Gong ; Bo Rong ; Kejie Lu

  • Author_Institution
    Beijing Univ. of Posts & Telecommun., Beijing, China
  • Volume
    53
  • Issue
    11
  • fYear
    2015
  • fDate
    11/1/2015 12:00:00 AM
  • Firstpage
    142
  • Lastpage
    147
  • Abstract
    In fifth-generation (5G) mobile networks, a major challenge is to effectively improve system capacity and meet dynamic service demands. One promising technology to solve this problem is heterogeneous networks (HetNets), which involve a large number of densified low power nodes (LPNs). This article proposes a software defined network (SDN) based intelligent model that can efficiently manage the heterogeneous infrastructure and resources. In particular, we first review the latest SDN standards and discuss the possible extensions. We then discuss the advantages of SDN in meeting the dynamic nature of services and requirements in 5G HetNets. Finally, we develop a variety of schemes to improve traffic control, subscriber management, and resource allocation. Performance analysis shows that our proposed system is reliable, scalable, and implementable.
  • Keywords
    5G mobile communication; resource allocation; software defined networking; telecommunication network management; telecommunication traffic; 5G HetNets; 5G heterogeneous networks; dynamic service demands; fifth-generation mobile networks; heterogeneous infrastructure management; heterogeneous resource management; intelligent SDN framework; low power nodes; resource allocation; software defined network based intelligent model; subscriber management; system capacity improvement; traffic control improvement; 5G mobile communication; Bandwidth; Load management; Resource management; Software defined networking; Streaming media;
  • fLanguage
    English
  • Journal_Title
    Communications Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0163-6804
  • Type

    jour

  • DOI
    10.1109/MCOM.2015.7321983
  • Filename
    7321983