• DocumentCode
    2513715
  • Title

    Efficient call admission control and scheduling technique for GPRS using genetic algorithms

  • Author

    Thilakawardana, Shyamalie ; Tafazolli, Rahim

  • Author_Institution
    Centre for Commun. Syst. Res., Surrey Univ., Guildford, UK
  • Volume
    5
  • fYear
    2004
  • fDate
    17-19 May 2004
  • Firstpage
    2528
  • Abstract
    In future wireless packet networks, it is anticipated that a wide variety of data applications, ranging from WWW browsing to Email, and real time services like packetized voice and videoconference will be supported with varying levels of QoS. Therefore there is a need for packet and service scheduling schemes that effectively provide QoS guarantees and also are simple to implement. This paper describes a novel dynamic admission control and scheduling technique based on genetic algorithms, focusing on static and dynamic parameters of service classes. A performance comparison of this technique on a GPRS system is evaluated against data services and also a traffic mix comprising voice and data.
  • Keywords
    DiffServ networks; Internet; cellular radio; electronic mail; genetic algorithms; packet radio networks; quality of service; telecommunication congestion control; teleconferencing; Email; GPRS service classes; GSM; QoS guarantees; QoS management; WWW browsing; dynamic call admission control; genetic algorithms; packet scheduling technique; packetized voice; service differentiation; videoconference; voice/data services; wireless packet networks; Admission control; Call admission control; Communication system traffic control; Dynamic scheduling; Genetic algorithms; Ground penetrating radar; Mobile communication; Resource management; Traffic control; World Wide Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2004. VTC 2004-Spring. 2004 IEEE 59th
  • ISSN
    1550-2252
  • Print_ISBN
    0-7803-8255-2
  • Type

    conf

  • DOI
    10.1109/VETECS.2004.1391378
  • Filename
    1391378