• DocumentCode
    3400275
  • Title

    Performance Modeling and Evaluation of Novel Scheduling Algorithm for LTE Networks

  • Author

    AlQahtani, Salman A. ; Alhassany, Mohammed

  • Author_Institution
    Comput. Eng. Dept., King Saud Univ., Riyadh, Saudi Arabia
  • fYear
    2013
  • fDate
    22-24 Aug. 2013
  • Firstpage
    101
  • Lastpage
    105
  • Abstract
    Long Term Evolution (LTE) packet scheduling plays an essential role as part of LTE´s Radio Resource Management (RRM) to support successful implementation of new data services across the LTE network. The main contribution of this paper is to model and propose a novel scheduling scheme for LTE networks and to compare its performance with the performances of both the Best-CQI and RR Uplink schedulers. The Best-CQI scheduler is characterized by high data rates at cell level, but poor fairness. On the other hand, the round robin (RR) scheduler is characterized by low data rates at cell level, but good fairness. The main goal of our proposed scheme is to process these two conflicts terms in a better way. Performance modeling results presented in the paper show that the newly proposed scheduling scheme allows fair distribution of available LTE resources while at the same time keeps the system´s capacity utilization as good as possible.
  • Keywords
    Long Term Evolution; radio spectrum management; telecommunication network management; Best CQI; LTE networks; RR uplink schedulers; data services; long term evolution packet scheduling; radio resource management; round robin scheduler; scheduling algorithm; Long Term Evolution; Resource management; Scheduling; Scheduling algorithms; Signal to noise ratio; Throughput; Uplink; LTE network; fairness; performance modeling; scheduling; throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Computing and Applications (NCA), 2013 12th IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    978-0-7695-5043-5
  • Type

    conf

  • DOI
    10.1109/NCA.2013.15
  • Filename
    6623648