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Titlebook: Game Theory for Wireless Engineers; Allen B. MacKenzie,Luiz A. DaSilva Book 2006 Springer Nature Switzerland AG 2006

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发表于 2025-3-21 16:32:24 | 显示全部楼层 |阅读模式
书目名称Game Theory for Wireless Engineers
编辑Allen B. MacKenzie,Luiz A. DaSilva
视频video
丛书名称Synthesis Lectures on Communications
图书封面Titlebook: Game Theory for Wireless Engineers;  Allen B. MacKenzie,Luiz A. DaSilva Book 2006 Springer Nature Switzerland AG 2006
描述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 fundament
出版日期Book 2006
版次1
doihttps://doi.org/10.1007/978-3-031-01672-1
isbn_softcover978-3-031-00544-2
isbn_ebook978-3-031-01672-1Series ISSN 1932-1244 Series E-ISSN 1932-1708
issn_series 1932-1244
copyrightSpringer Nature Switzerland AG 2006
The information of publication is updating

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Game Theory for Wireless Engineers978-3-031-01672-1Series ISSN 1932-1244 Series E-ISSN 1932-1708
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Decision Making and Utility Theory,Before we dive headlong into game theory, it is worthwhile to spend one chapter studying decision theory. In many ways, game theory is nothing more than multiagent decision theory. So, it is nearly impossible to really understand the former without a grasp of the latter.
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Future Prospects in Amaranth Research,exists only one Nash equilibrium, and players are introspective and know the entire game model (including other players’ payoffs), an expectation of Nash equilibrium play is warranted. But what about other, more typical, cases? What if there are multiple equilibria? What if players know only their o
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Elaine Unterhalter,Melanie Walkere starts exploring the field of game theory. We also discussed some examples of game theoretic models that were developed to better understand issues in power control, medium access control, topology formation, node participation, interference avoidance, etc.
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