• DocumentCode
    125912
  • Title

    Application of stochastic differential equations for the performance evaluation of broadband satellite communication systems

  • Author

    Kourogiorgas, Charilaos I. ; Panagopoulos, A.D.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Athens, Greece
  • fYear
    2014
  • fDate
    16-23 Aug. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, a general framework for the application of Stochastic Differential Equations (SDEs) for the accurate evaluation of broadband satellite communication networks is presented. Following the tendency that the operating frequencies in modern satellite communication systems have migrated to Ka-band and above, it is very important to model the radiowave propagation phenomena. The dynamics of rain attenuation as well as the generation of rain attenuation time series of rain attenuation are required for the prediction of the satellite communication systems´ performance. Here we present the mathematical framework for the description of correlated rain attenuations induced on multiple links with SDEs. Moreover, an expression for the channel estimation that can be used for the evaluation of Fade Mitigation Techniques (FMTs) is also presented. In the numerical results Section, two satellite systems employing spatial diversity (site and orbital) are examined and the new channel estimation expression is investigated.
  • Keywords
    broadband networks; channel estimation; differential equations; mathematical analysis; performance evaluation; radiowave propagation; satellite communication; Ka-band; broadband satellite communication networks; broadband satellite communication systems; channel estimation; correlated rain attenuations; fade mitigation techniques; mathematical framework; performance evaluation; radiowave propagation phenomena; rain attenuation; spatial diversity; stochastic differential equations; Attenuation; Mathematical model; Rain; Satellite communication; Satellites; Stochastic processes; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/URSIGASS.2014.6929277
  • Filename
    6929277