• DocumentCode
    3248996
  • Title

    Joint control of transmission power and channel switching against adaptive jamming

  • Author

    Qingsi Wang ; Mingyan Liu

  • Author_Institution
    Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2013
  • fDate
    2-4 Oct. 2013
  • Firstpage
    909
  • Lastpage
    916
  • Abstract
    In this work, we consider the interaction between an adaptive jammer and a user, and we study the joint control of transmission power and channel switching for the user in the presence of jamming interference. Instead of adopting a game-theoretical approach to studying the interaction, which typically requires full knowledge of the jammer about the user and vice versa, we adopt an online learning perspective to model the reasoning of the attacker as well as the defender. We note that the two aspects of the control are typically coupled, and moreover, the tractability of analysis may be limited if the jammer is capable of learning the user´s control strategy, thus attacking adaptively. Interestingly, we show that the power control aspect can be in fact decoupled from the channel switching decisions as a result of this interaction, and we develop the explicit form of the optimal control for certain scenarios.
  • Keywords
    game theory; jamming; optimal control; power control; switching networks; telecommunication security; adaptive jammer; analysis tractability; attacker; channel switching; defender; game-theoretical approach; jamming interference; online learning perspective; optimal control; power control; transmission power; user control strategy; Games; Jamming; Joints; Power control; Probabilistic logic; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Control, and Computing (Allerton), 2013 51st Annual Allerton Conference on
  • Conference_Location
    Monticello, IL
  • Print_ISBN
    978-1-4799-3409-6
  • Type

    conf

  • DOI
    10.1109/Allerton.2013.6736622
  • Filename
    6736622