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" Game theory for next generation wireless and communication networks : "
Zhu Han, Dusit Niyato, Walid Saad, Tamer Başar.
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BL
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| Record Number
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839400
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| Main Entry
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Han, Zhu,1974-
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| Title & Author
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Game theory for next generation wireless and communication networks : : modeling, analysis, and design /\ Zhu Han, Dusit Niyato, Walid Saad, Tamer Başar.
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| Publication Statement
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Cambridge, United Kigdom ;New York, NY :: Cambridge University Press,, 2019.
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, ©2019
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| Page. NO
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1 online resource (xii, 495 pages)
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| ISBN
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1108277403
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: 9781108277402
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9781108417334
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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Cover; Endorsement; Half-Title; Title page; Copyright Information; Dedication; Contents; Acknowledgment; 1 Introduction; 1.1 Overview and Motivation; 1.2 Intended Book Audience; 1.3 Organization; Part I Theory; 2 Matching Games; 2.1 Fundamentals of Matching Theory; 2.1.1 Preliminaries; 2.1.2 Conventional Matching Models; 2.1.3 Wireless-Oriented Matching Models; 2.1.4 Stability and Information Exchange Discussions; 2.2 Example 1: Student Project Allocation Model for LTE-Unlicensed; 2.2.1 LTE-Unlicensed Introduction; 2.2.2 System Model and Problem Formulation
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2.2.3 The Student Project Allocation Model2.2.4 Matching with Externalities; 2.2.5 Simulation Results and Analysis; 2.2.6 Conclusions; 2.3 Example 2: Stable Fixture Model in LTE V2X; 2.3.1 Basics of LTE V2X; 2.3.2 System Model and Problem Formulation; 2.3.3 Stable Fixture Model; 2.3.4 Simulation Results and Analysis; 2.3.5 Conclusions; 2.4 Summary; 3 Contract Theory; 3.1 Basic Concepts; 3.1.1 Contract Theory: Fundamentals and Classification; 3.1.2 Contract Theory: Reward Design; 3.1.3 Example Scenarios in Wireless Networks
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3.2 Example 1: Incentive Mechanisms for Device-to-Device Communications in Cellular Networks with Adverse Selection3.2.1 Introduction; 3.2.2 System Model; 3.2.3 Contract-Based Solution; 3.2.4 Simulation Results and Analysis; 3.2.5 Conclusions; 3.3 Example 2: Multidimensional Incentive Mechanism in Mobile Crowdsourcing with Moral Hazard; 3.3.1 Introduction; 3.3.2 System Model; 3.3.3 Problem Formulation; 3.3.4 Simulation Results and Analysis; 3.3.5 Conclusions; 3.4 Example 3: Financing Contract with Adverse Selection and Moral Hazard for Spectrum Trading in Cognitive Radio Networks
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3.4.1 Introduction3.4.2 Related Works; 3.4.3 System Model; 3.4.4 Problem Formulation; 3.4.5 Discussion; 3.4.6 Simulation Results; 3.4.7 Conclusions; 3.5 Summary; 4 Stochastic Games; 4.1 Basics of a Stochastic Game; 4.2 Strategies, Equilibrium, and Key Results; 4.3 Summary; 5 Games with Bounded Rationality; 5.1 Introduction to Bounded Rationality; 5.2 Prospect Theory: Motivation; 5.3 Foundations of Prospect Theory: Weighting Effects and Framing Effects; 5.3.1 Subjective Players' Actions -- Prospect-Theoretic Weighting Effect
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5.3.2 Subjective Perceptions of Utility Functions -- The Framing Effect5.3.3 Impact of PT on Game-Theoretic Analysis; 5.4 Other Notions of Bounded Rationality; 5.5 Summary; 6 Learning in Games; 6.1 Introduction to Learning in Games; 6.2 Best Response Dynamics; 6.3 Fictitious Play; 6.4 Regret Matching; 6.5 Reinforcement Learning; 6.6 Learning with Artificial Neural Networks; 6.7 Summary; 7 Equilibrium Programming with Equilibrium Constraints; 7.1 Variational Inequalities; 7.1.1 Basics of Variational Inequalities; 7.1.2 Connections with Optimization and Games; 7.2 Stackelberg Game Review
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| Abstract
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Discover the very latest game-theoretic approaches for designing, modeling, and optimizing emerging wireless communication networks and systems with this unique text. Providing a unified and comprehensive treatment throughout, it explains basic concepts and theories for designing novel distributed wireless networking mechanisms, describes emerging game-theoretic tools from an engineering perspective, and provides an extensive overview of recent applications. A wealth of new tools is covered - including matching theory and games with bounded rationality - and tutorial chapters show how to use these tools to solve current and future wireless networking problems in areas such as 5G networks, network virtualization, software defined networks, cloud computing, the Internet of Things, context-aware networks, green communications, and security. This is an ideal resource for telecommunications engineers, and researchers in industry and academia who are working on the design of efficient, scalable, and robust communication protocols for future wireless networks, as well as graduate students in these fields.
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| Subject
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Game theory.
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| Subject
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Wireless communication systems-- Mathematical models.
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| Subject
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Game theory.
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| Dewey Classification
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621.38201/5193
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| LC Classification
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TK5102.83.H36 2019
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| Added Entry
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Başar, Tamer
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Niyato, Dusit
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Saad, Walid
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