• DocumentCode
    573908
  • Title

    Video traffic prediction for improved scheduling in joint WiMAX/satellite networks

  • Author

    Lygizou, Anastasia ; Xergias, Spyros ; Passas, Nikos

  • Author_Institution
    Dept. of Inf. & Telecommun., Nat. & Kapodistrian Univ. of Athens, Athens, Greece
  • fYear
    2012
  • fDate
    27-31 Aug. 2012
  • Firstpage
    1017
  • Lastpage
    1022
  • Abstract
    This paper improves the video prediction mechanism used for prediction of the uplink real-time traffic of an integrated satellite and WiMAX network. After a bibliographic search on mechanisms for video prediction in WiMAX and satellite networks, the NLMS (Normalized Least Mean Square) algorithm is chosen to be used as part of the existing mechanism, studying three possible alternatives that can be used. The first one proposes the implementation of the NLMS algorithm in the WiMAX BS (Base Station), the second one proposes the implementation of the NLMS algorithm in the satellite terminal, while the third one proposes the implementation of the NLMS algorithm in both the WiMAX BS and the satellite terminal. Simulation results show improved performance of all alternatives, while the best results are given by the second one which also has the lowest complexity in computations and memory. This alternative is finally presented and evaluated.
  • Keywords
    WiMax; satellite communication; NLMS algorithm; WiMAX network; normalized least mean square algorithm; satellite networks; satellite terminal; scheduling; uplink real-time traffic; video prediction mechanism; video traffic prediction; Bandwidth; Delay; Prediction algorithms; Quality of service; Satellite broadcasting; Satellites; WiMAX; DVB-RCS; QoS; WiMAX; rtPS; video prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Mobile Computing Conference (IWCMC), 2012 8th International
  • Conference_Location
    Limassol
  • Print_ISBN
    978-1-4577-1378-1
  • Type

    conf

  • DOI
    10.1109/IWCMC.2012.6314345
  • Filename
    6314345