• DocumentCode
    2317693
  • Title

    Resource management based on future traffic estimation and 2-tier structure for 4G cellular network

  • Author

    Shahzad, Haleh ; Taheri, Hassan

  • Author_Institution
    Dept. of Electr. Eng., Amirkabir Univ. of Technol. (Polytech.), Tehran, Iran
  • fYear
    2012
  • fDate
    24-26 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper proposes a resource management approach that integrates a two tier structure to future traffic estimation with the purpose of avoiding forced termination and waste of bandwidth in handoffs. An efficient bandwidth reservation mechanism in neighboring cells is important in handoff process, particularly when the handoff traffic is heavy. As the next generation wireless networks cater for various kinds of applications with varying degree of QoS parameters, resource management is an important part in order to optimize the overall system performance. The performance of a wireless network is bounded by the efficiency of resource management. The objective is lessening the handoff call dropping probability by using future network traffic load and responding properly to it. In prediction based resource reservation, a priori estimation of the future traffic load affects the process of resource reservation. Our scheme is compared through simulations with other schemes. The simulation results show that our proposal provides better performance in terms of handoff dropping probability.
  • Keywords
    4G mobile communication; mobility management (mobile radio); next generation networks; 2-tier structure; 4G cellular network; efficient bandwidth reservation mechanism; forced termination; handoff call dropping probability; handoff process; handoff traffic; next generation wireless networks; prediction based resource reservation; resource management; traffic estimation; Bandwidth; Estimation; Quality of service; Resource management; Simulation; Telecommunication traffic; Wireless networks; 4G; Quality of service; grey prediction; particle swarm optimization; resource management; tier;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and e-Services (ICITeS), 2012 International Conference on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4673-1167-0
  • Type

    conf

  • DOI
    10.1109/ICITeS.2012.6216633
  • Filename
    6216633