• DocumentCode
    2737887
  • Title

    Traffic-prediction-assisted dynamic bandwidth assignment for hybrid wireless optical networks

  • Author

    Mirahmadi, Maysam ; Shami, Abdallah

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Western Ontario, London, ON, Canada
  • fYear
    2011
  • fDate
    4-8 July 2011
  • Firstpage
    2103
  • Lastpage
    2108
  • Abstract
    Hybrid wireless-optical networks provide the inexpensive broadband bandwidth, vital for modern applications, as well as mobility and, scalability required for an access network. However, in order to provide satisfactory Quality of Service (QoS) on such a non-homogeneous network, innovative designs are required. This paper proposes a novel mechanism to significantly improve the delay guarantee, while maintaining throughput, by predicting the incoming traffic to ONUs. Based on the proposed method, two dynamic bandwidth assignment algorithms are proposed. The performance of the proposed algorithms are evaluated by extensive simulations. The results show that the delay bound of delay-sensitive traffic classes, is decreased by a factor of two, while throughput remains the same.
  • Keywords
    innovation management; optical fibre networks; quality of service; radio networks; telecommunication traffic; ONU; QoS; broadband bandwidth; delay-sensitive traffic classes; dynamic bandwidth assignment algorithms; hybrid wireless optical networks; innovative designs; quality of service; traffic-prediction-assisted dynamic bandwidth assignment; Bandwidth; Delay; EPON; IEEE 802.3 Standards; Optical network units; Prediction algorithms; WiMAX; Dynamic Bandwidth Assignment; Hybrid Wireless Optical Network; Quality of Service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Mobile Computing Conference (IWCMC), 2011 7th International
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4244-9539-9
  • Type

    conf

  • DOI
    10.1109/IWCMC.2011.5982859
  • Filename
    5982859