English
资源说明：The application of mathematical analysis to wireless networks has met with limited success, due
to the complexity of mobility and traffic models, coupled with the dynamic topology and the
unpredictability of link quality that characterize such networks. The ability to model individual,
independent decision makers whose actions potentially affect all other decision makers makes
game theory particularly attractive to analyze the performance of ad hoc networks.
Game theory is a field of applied mathematics that describes and analyzes interactive
decision situations. It consists of a set of analytical tools that predict the outcome of complex
interactions among rational entities, where rationality demands a strict adherence to a strategy
based on perceived or measured results. In the early to mid-1990’s, game theory was applied to
networking problems including flow control, congestion control, routing and pricing of Internet
services. More recently, there has been growing interest in adopting game-theoretic methods
to model today’s leading communications and networking issues, including power control and
resource sharing in wireless and peer-to-peer networks.
This work presents fundamental results in game theory and their application to wireless
communications and networking.We discuss normal-form, repeated, and Markov games with
examples selected from the literature.We also describe ways in which learning can be modeled in
game theory, with direct applications to the emerging field of cognitive radio. Finally, we discuss
challenges and limitations in the application of game theory to the analysis of wireless systems.
We do not assume familiarity with game theory. We introduce major game theoretic models
and discuss applications of game theory including medium access, routing, energy-efficient
protocols, and others.We seek to provide the reader with a foundational understanding of the
current research on game theory applied to wireless communications and networking.
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