• DocumentCode
    2128996
  • Title

    An Adaptive Resource Allocation Scheme for GPRS/EDGE Towards 3G

  • Author

    Zhang Yanchao ; Gao Zehua

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2009
  • fDate
    24-26 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    An adaptive radio resource allocation strategy for GPRS/EDGE system is proposed in this paper, which is the optimal smooth transition solution from 2G towards 3G. The proposed long-term allocation mechanism and short-term channel sharing mechanism can improve resource utilization by configuring channels effectively for both voice and data traffic. In addition a statistical model is introduced to estimate voice traffic, which is one of the features of the long-term allocation mechanism. The simulation results fully indicate that the proposed schemes can efficiently increase not only the traffic throughput but also the resource utilization.
  • Keywords
    3G mobile communication; channel allocation; packet radio networks; statistical analysis; telecommunication traffic; voice communication; wireless channels; 2G mobile communication system; 3G mobile communication system; GPRS/EDGE system; adaptive resource allocation scheme; data traffic; long-term allocation mechanism; optimal smooth transition solution; resource utilization; short-term channel sharing mechanism; statistical model; voice traffic estimation model; Analytical models; Electronic mail; GSM; Ground penetrating radar; Performance analysis; Resource management; System performance; Telecommunication traffic; Throughput; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3692-7
  • Electronic_ISBN
    978-1-4244-3693-4
  • Type

    conf

  • DOI
    10.1109/WICOM.2009.5303117
  • Filename
    5303117