Power allocation strategy against jamming attacks in Gaussian fading multichannel

In this paper, we consider a jamming game in wireless networks in which a malicious user tries to jam the transmissions of a user in Gaussian fading multichannel. Both the user and the jammer allocate power to multiple channels with their total power constraints in order to maximize their utilities. We model the utility of the user as a weighted sum of successfully received packets on all channels, and the goal of the jammer is trying to minimize the user's utility. The power allocation strategies at Nash equilibrium of this zero-sum game are derived in closed form and some properties of robustness and worst-case guarantee are presented.

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