8th International Conference on Cognitive Radio Oriented Wireless Networks

Research Article

Optimizing Scanning Strategies: Selecting Scanning Bandwidth in Adversarial RF Environments

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  • @INPROCEEDINGS{10.4108/icst.crowncom.2013.252019,
        author={Andrey Garnaev and Wade Trappe and Chun-Ta Kung},
        title={Optimizing Scanning Strategies: Selecting Scanning Bandwidth in Adversarial RF Environments},
        proceedings={8th International Conference on Cognitive Radio Oriented Wireless Networks},
        publisher={ICST},
        proceedings_a={CROWNCOM},
        year={2013},
        month={11},
        keywords={game theory spectrum sensing},
        doi={10.4108/icst.crowncom.2013.252019}
    }
    
  • Andrey Garnaev
    Wade Trappe
    Chun-Ta Kung
    Year: 2013
    Optimizing Scanning Strategies: Selecting Scanning Bandwidth in Adversarial RF Environments
    CROWNCOM
    IEEE
    DOI: 10.4108/icst.crowncom.2013.252019
Andrey Garnaev1,*, Wade Trappe2, Chun-Ta Kung2
  • 1: St. Petersburg State University, Russia
  • 2: WINLAB and the Electrical and Computer Engineering Department, Rutgers University, USA
*Contact email: garnaev@yahoo.com

Abstract

In this paper we investigate the problem of designing a spectrum scanning strategy to detect an intelligent Invader who wants to utilize spectrum undetected for his/her unapproved purposes. To deal with this problem we apply game-theoretical tools.We model the situation as a game between a Scanner and an Invader where the Invader faces a dilemma: the more bandwidth the Invader attempts to use leads to a larger payoff if he is not detected, but at the same time also increases the probability of being detected and thus fined. Similarly, the Scanner faces a dilemma: the wider the bandwidth scanned, the higher the probability of detecting the Invader, but at the expense of increasing the cost of building the scanning system. The equilibrium strategies are found explicitly and reveal interesting properties. In particular, we have found a discontinuous dependence of the equilibrium strategies on the network parameters, fine and the type of the Invader’s award. This discontinuity on fine means that the network provider has to take into account a human factor since some threshold values of fine could be very sensible for the Invader, while in other situations simply increasing the fine has minimal deterrence impact. Also we show how different reward types for the Invader (e.g. motivated by using different type of application, say, video-streaming or downloading files) can be incorporated into scanning strategy to increase its efficiency.