• DocumentCode
    712772
  • Title

    Software defined network for multi-tenancy resource sharing in backhaul networks

  • Author

    Jialu Lun ; Grace, David

  • Author_Institution
    Dept. of Electron., Univ. of York York, York, UK
  • fYear
    2015
  • fDate
    9-12 March 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper introduces a Software Defined Network (SDN) architecture for 5G dense multi-infrastructure provider deployed wireless backhaul networks. The architecture contains a two-tier controller in a hierarchical setup aiming to offload some of the control functionalities from the central controller to a collection of logically distributed dynamically configured local controllers in order to balance the tradeoff between scalability and system performance. A multi-tenancy dynamic resource sharing algorithm, together with a backhaul link scheduling strategy based on the proposed SDN architecture are introduced as a case study. The results demonstrate the proposed architecture can deliver efficient resource utilization with marginal QoS compromises compared to an all centralized framework which requires on-the-fly control information exchange, high energy savings (up to 40%), and Quality of Service (QoS) guarantee for public safety service providers.
  • Keywords
    5G mobile communication; quality of service; software defined networking; 5G dense multiinfrastructure provider; QoS; SDN; backhaul link scheduling strategy; central controller; energy saving; multitenancy dynamic resource sharing algorithm; on-the-fly control information exchange; public safety service provider; quality of service; software defined network; wireless backhaul network; Computer architecture; Control systems; Quality of service; Resource management; Safety; Throughput; Wireless communication; Multi-tenancy; Network Virtualization; Software Defined Network; Wireless Backhaul;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference Workshops (WCNCW), 2015 IEEE
  • Conference_Location
    New Orleans, LA
  • Type

    conf

  • DOI
    10.1109/WCNCW.2015.7122519
  • Filename
    7122519