Game theory has been applied to model power control in wireless systems for years. Conventional power control games tend to consider unlimited backlogged user traffic. Different from the conventional methodology, this paper aims to investigate limited backlogged data traffic and construct a game-theoretic model tackling both one-shot and repeated power control problem in which variable user traffic demand needs to be taken into consideration. To improve the network performance in such situation, we devise a new SINR pricing scheme and propose an algorithm to calculate an optimal price. With this optimal price, we prove that the Nash equilibrium is Pareto efficient and max-min fair.
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