• DocumentCode
    266535
  • Title

    Channel prediction and network coding for smart gateway diversity in terabit satellite networks

  • Author

    Muhammad, Muhammad ; Giambene, Giovanni ; De Cola, Tomaso

  • Author_Institution
    German Aerosp. Center (DLR), Inst. of Commun. & Navig., Oberpfaffenhofen, Germany
  • fYear
    2014
  • fDate
    8-12 Dec. 2014
  • Firstpage
    3549
  • Lastpage
    3554
  • Abstract
    This paper explores the network design implications to be taken into account in Smart Gateway Diversity (SGD) satellite systems, where gateway outage events have to be counteracted by efficient handover procedures. In more detail, enabling high data-rate satellite systems in these conditions requires efficient coordination strategies between gateways, upstream routers and Network Control Centre (NCC) to precisely estimate the need of handover and to efficiently manage the satellite resources. To this regard, this paper adopts a simple channel estimation algorithm and applies network coding to cope with packet losses deriving from possible inaccuracies on the prediction of the handover time. The results obtained via simulation confirm the capabilities of network-coding-based approaches and pave the way for further studies in the area of network for SGD satellite systems.
  • Keywords
    channel estimation; mobility management (mobile radio); network coding; network servers; satellite communication; telecommunication network reliability; telecommunication network routing; NCC; SGD satellite system; channel estimation algorithm; channel prediction; handover time prediction; network coding; network control centre; packet loss; satellite resource management; smart gateway diversity satellite system; terabit satellite network; Estimation; Handover; Logic gates; Network coding; Packet loss;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2014 IEEE
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2014.7037358
  • Filename
    7037358