• DocumentCode
    2031248
  • Title

    Time frame optimization using PSO to guarantee QoS in IEEE 802.16 networks

  • Author

    Dosciatti, Eden Ricardo ; Foronda, Augusto

  • Author_Institution
    GETIC/GERCoS/NATEC/CITEC/CPGEI, Fed. Univ. of Technol. of Parana, Curitiba, Brazil
  • fYear
    2015
  • fDate
    28-30 July 2015
  • Firstpage
    506
  • Lastpage
    513
  • Abstract
    The technological advances of recent years caused a growth in the number of users sharing communication networks, especially with multimedia services such as IPTV, video conferencing and VoIP. These services require more resources and generate a large demand on the infrastructure of the network. Thus, the communication networks for wireless broadband, based on the IEEE 802.16 standard, known as WiMAX, need to provide quality of service which is a major factor for the performance of communication networks. Scheduling mechanisms, call admission control and traffic policing should be present to guarantee the quality of service. However, the IEEE 802.16 standard only specifies the mechanisms of how these policies should be implemented, but does not define how to implement them. Thus, this article aims to present a new scheduler for traffic uplink, with guarantee of quality service, using the meta-heuristic particle swarm optimization, to calculate the duration of time frame, making possible to find an ideal value, which will provide a better allocation of network user.
  • Keywords
    WiMax; particle swarm optimisation; quality of service; telecommunication congestion control; IEEE 802.16 networks; IPTV; PSO; QoS; VoIP; WiMAX; call admission control; communication networks; meta-heuristic particle swarm optimization; multimedia services; quality of service; scheduling mechanism; time frame optimization; traffic policing; traffic uplink; video conferencing; wireless broadband; Delays; IEEE 802.16 Standard; Mathematical model; Quality of service; Servers; Uplink; WiMAX; IEEE 802.16; PSO; Time Frame; WiMAX;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Science and Information Conference (SAI), 2015
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1109/SAI.2015.7237190
  • Filename
    7237190