• DocumentCode
    244218
  • Title

    SD-CRN: Software Defined Cognitive Radio Network Framework

  • Author

    Jararweh, Yaser ; Al Ayyoub, Mahmoud ; Doulat, Ahmad ; Al Abed Al Aziz, Ahmad ; Bany Salameh, Haythem A. ; Khreishah, Abdallah A.

  • Author_Institution
    Jordan Univ. of Sci. & Technol., Irbid, Jordan
  • fYear
    2014
  • fDate
    11-14 March 2014
  • Firstpage
    592
  • Lastpage
    597
  • Abstract
    Software defined networking (SDN) provides a novel network resource management framework that overcomes several challenges related to network resources management. On the other hand, Cognitive Radio (CR) technology is a promising paradigm for addressing the spectrum scarcity problem through efficient dynamic spectrum access (DSA). CR provides unlicensed secondary users with the ability to coexist with licensed users in non-interfering mode. In this paper, we introduce a virtualization based SDN resource management framework for cognitive radio networks (CRNs). The framework uses the concept of multilayer hypervisors for efficient resources allocation. It also introduces a semi-decentralized control scheme that allows the CRN base station (BS) to delegate some of the management responsibilities to the network users. CRN resource virtualization allows dynamic, infrastructure free and efficient resources allocation to the CR users. The main objectives of the proposed framework is to reduce the CR users´ reliance on the CRN BS and physical network resources while improving the network performance by reducing control overhead.
  • Keywords
    cognitive radio; decentralised control; radio spectrum management; resource allocation; software radio; telecommunication control; virtualisation; BS; DSA; SD-CRN technology; base station; control overhead reduction; dynamic spectrum access; multilayer hypervisor concept; network resource management framework; noninterfering mode; physical network resources; resource allocation; semidecentralized control scheme; software defined cognitive radio network framework; spectrum scarcity problem; unlicensed secondary users; virtualization based SDN resource management framework; Base stations; Cognitive radio; Resource management; Virtual machine monitors; Virtualization; Wireless sensor networks; cognitive radio networks; hypervisor; software defined network; virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Engineering (IC2E), 2014 IEEE International Conference on
  • Conference_Location
    Boston, MA
  • Type

    conf

  • DOI
    10.1109/IC2E.2014.88
  • Filename
    6903534