• DocumentCode
    1748523
  • Title

    Traffic load optimization for multiple satellites system under power limit constraints

  • Author

    Nanba, Shinobu ; Konishi, Satoshi ; Nomoto, Shinichi

  • Author_Institution
    KDD R&D Labs. Inc., Saitama, Japan
  • Volume
    10
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    3177
  • Abstract
    In satellite communications systems, the total satellite transmitting power (in short, `satellite power´) is one of the important radio resources, as well as spectrum resources, because of the limited capability of onboard electric generators. Therefore, for attaining optimum satellite radio resource utilization, it is not enough to just consider the spectrum resources but also to take account of the satellite power. This paper proposes algorithms using the linear programming for optimally distributing the traffic demand to multiple satellites in a system. The algorithms are applicable to any kind of satellite system with multiple satellites (GEO, MEO, LEO or combination of any) to increase the system capacity in terms of the total amount of traffic accommodated by the system. Numerical examples demonstrate that the proposed algorithms contribute to maximizing the system capacity
  • Keywords
    linear programming; satellite communication; telecommunication traffic; GEO satellites; LEO satellites; MEO satellites; linear programming; multiple satellite system; optimum satellite radio resource utilization; power limit constraints; satellite communication; satellite transmitting power; spectrum resources; system capacity; traffic load optimization; Artificial satellites; Constraint optimization; Linear programming; Receiving antennas; Resource management; Satellite antennas; Satellite broadcasting; Satellite communication; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2001. ICC 2001. IEEE International Conference on
  • Conference_Location
    Helsinki
  • Print_ISBN
    0-7803-7097-1
  • Type

    conf

  • DOI
    10.1109/ICC.2001.937258
  • Filename
    937258