• DocumentCode
    3425695
  • Title

    A Unified Admission Control Algorithm

  • Author

    Fu, Xiuhua ; Wang, Jiazheng

  • Author_Institution
    Shandong Univ. of Technol., Zibo
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Call admission control (CAC) plays a significant role in communication networks. In heterogeneous environments, CAC performs differrent function in different segments along with an end-to-end data path. In this paper, an end-to-end CAC model in transport layer is presented. Further, a unified CAC (U-CAC) algorithm is proposed , which manage different kinds of upstream traffics from different access networks. The algorithm is based both on the traffic class, the access network type and the user requirment and is-realized-using-genetic-algorithms-(GAs). In addition, priority schemes have been proposed to guarantee QoS for higher class users. For the simulation analysis, we consider two different services and two different access networks. The results reveal that the proposed algorithm provides the optimal threshold values for resource reservation and achieves the reasonable call admitted probabilities.
  • Keywords
    genetic algorithms; quality of service; radio access networks; telecommunication congestion control; telecommunication traffic; genetic algorithms; quality of service; radio access networks; resource reservation; transport layer; unified call admission control; upstream traffic; Adaptive control; Admission control; Call admission control; Electronic mail; IP networks; Programmable control; Quality of service; Radio access networks; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.59
  • Filename
    4677968