• DocumentCode
    181124
  • Title

    Network survivability oriented Markov games (NSOMG) in wideband satellite communications

  • Author

    Dan Shen ; Genshe Chen ; Gang Wang ; Pham, Khanh ; Blasch, Erik ; Tian, Zhao

  • Author_Institution
    Intell. Fusion Technol. Inc., Germantown, MD, USA
  • fYear
    2014
  • fDate
    5-9 Oct. 2014
  • Abstract
    Future satellite communications (SATCOM) challenges will require cognitive spectrum management and agile waveform adaptation solutions that are not only context-aware and capable of learning and probing for subscriber distributions, quality of services (QoS), mission priorities and traffic patterns, but also agile in waveform adaptation in order to provide active countermeasures for persistent and adaptive radio frequency (RF) interferences. In this paper, we develop a game theory enabled high-level anti-interference strategies. A game theory model of strategic conflicts in SATCOM is designed to guide the high-level anti-interference strategies. Space communication conflicts (interference in congested space environment) were investigated as a two-player, zero-sum game in discrete time, where each player discovers the opponent´s exploits according to an impudent random process. The optimal exercise strategies were derived and the value of engaging in space communication conflict was quantified.
  • Keywords
    Markov processes; game theory; quality of service; radio spectrum management; radiofrequency interference; satellite communication; space communication links; NSOMG; QoS; SATCOM; adaptive radio frequency interferences; anti-interference strategy; cognitive spectrum management; game theory; network survivability oriented Markov games; quality of services; space communication; subscriber distributions; waveform adaptation; wideband satellite communications; Game theory; Games; Interference; Markov processes; Satellites; Spread spectrum communication; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Avionics Systems Conference (DASC), 2014 IEEE/AIAA 33rd
  • Conference_Location
    Colorado Springs, CO
  • Print_ISBN
    978-1-4799-5002-7
  • Type

    conf

  • DOI
    10.1109/DASC.2014.6979500
  • Filename
    6979500