• DocumentCode
    3585897
  • Title

    Fair resource allocation under an unknown jamming attack: a Bayesian game

  • Author

    Garnaev, Andrey ; Trappe, Wade

  • Author_Institution
    WINLAB, Rutgers Univ. North Brunswick, North Brunswick, NJ, USA
  • fYear
    2014
  • Firstpage
    227
  • Lastpage
    232
  • Abstract
    The goal of this paper is to investigate the problem how a base station (BS), facing an unknown jamming attack, should decide to allocate scarce communication resources so as to maintain fair and reliable communication for its users. In order to obtain insight into this problem, we examine a Bayesian game using α- fairness utility, which allows the problem to be treated in a universal framework involving maximizing the total user SNR and minimizing the total user delay in transmission. The solution is a maxmin strategy (i.e. it is the optimal resource allocation under expected worst conditions), and is obtained explicitly, and thereby allows for interesting properties associated with the problem to be established.
  • Keywords
    game theory; minimax techniques; radio networks; resource allocation; telecommunication network management; telecommunication security; α-fairness utility; Bayesian game; base station; communication resource allocation; jamming attack; maxmin strategy; user SNR; user signal-to-noise ratio; Bayes methods; Games; Jamming; Resource management; Security; Signal to noise ratio; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Forensics and Security (WIFS), 2014 IEEE International Workshop on
  • Type

    conf

  • DOI
    10.1109/WIFS.2014.7084332
  • Filename
    7084332