• DocumentCode
    557914
  • Title

    An approach for automated spectrum refarming for multiple radio access technologies

  • Author

    Ghamari, S. ; Schellmann, Malte ; Dillinger, Markus ; Schulz, Egon

  • Author_Institution
    Huawei Technol. Duesseldorf, Eur. Res. Center, Munich, Germany
  • fYear
    2011
  • fDate
    24-27 Oct. 2011
  • Firstpage
    187
  • Lastpage
    192
  • Abstract
    The mobile communication technologies beyond the third generation are characterized by flexibility. Due to rapid growth of spectrum demand, future wireless networks should be able to dynamically allocate resources to maintain the quality of service (QoS) and promote the efficient use of radio spectrum. The dynamic spectrum management is an effective solution for approaching this goal. In this paper, we propose a new heuristic method for sharing spectrum between two different radio access technologies (RAT) in an intra-operator scenario. We designed a new dynamic spectrum manager that aims to prevent overload in RATs and improves spectrum utilization of RATs. Our approach contains two complimentary phases of action, the first phase tries to prevent overload of a RAT in a proactive manner, and the second phase tries to solve an overload situation in case the proactive phase fails to prevent it.
  • Keywords
    3G mobile communication; quality of service; radio access networks; radio spectrum management; resource allocation; QoS; automated spectrum refarming approach; multiple RAT; multiple radio access technology; quality of service; radio spectrum management; resource allocation; spectrum sharing; third generation mobile communication technology; wireless network; 3G mobile communication; Multiaccess communication; Radio spectrum management; Rats; Resource management; Simulation; Spread spectrum communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecom World (ITU WT), 2011 Technical Symposium at ITU
  • Conference_Location
    Geneva
  • Print_ISBN
    978-1-4577-1148-0
  • Electronic_ISBN
    978-92-61-13681-9
  • Type

    conf

  • Filename
    6100953