Game Theory and Learning for Wireless Networks
Fundamentals and Applications
Description
Key Features
- The first tutorial style book that gives all the relevant theory, at the right level of rigour, for the wireless communications engineer
- Bridges the gap between theory and practice by giving examples and case studies showing how game theory can solve real world resource allocation problems
- Contains algorithms and techniques to implement game theory in wireless terminals
Readership
University researchers and R&D engineers in the industry, graduate and PhD students in wireless communications
Table of Contents
Preface
Chapter 1. A Very Short Tour of Game Theory
1.1. Introduction
1.2. A Better Understanding of the Need for Game Theory from Four Simple Examples
1.3. Representations and Classification of Games
1.4. Some Fundamental Notions of Game Theory
1.5. More about the Scope of Game Theory
Chapter 2. Playing with Equilibria in Wireless Non-Cooperative Games
2.1. Introduction
2.2. Equilibrium Existence
2.3. Equilibrium Uniqueness
2.4. Equilibrium Selection
2.5. Equilibrium Efficiency
2.6. Conclusion
Chapter 3. Moving from Static to Dynamic Games
3.1. Introduction
3.2. Repeated Games
3.3. Stochastic Games
3.4. Difference Games and Differential Games
3.5. Evolutionary Games
Chapter 4. Bayesian Games
4.1. Introduction
4.2. Bayesian Games in a Nutshell
4.3. Application to Power Control Games
Chapter 5. Partially Distributed Learning Algorithms
5.1. Introduction
5.2. Best Response Dynamics
5.3. Fictitious-Play-Based Algorithms
5.4. Learning Logit Equilibria
5.5. Games with Cost of Learning
5.6. Learning Bargaining Solutions
5.7. Summary and Concluding Remarks
Chapter 6. Fully Distributed Learning Algorithms
6.1. Introduction
6.2. The General Game-Theoretic Setting
6.3. Trial-and-Error Learning: Learning by Experimenting
6.4. Reinforcement Learning Algorithms
6.5. Regret Matching-Based Learning: Learning Correlated Equilibria
6.6. Boltzmann-Gibbs Learning Algorithms
6.7. Evolutionary Dynamics-Based Learning in Heterogeneous Networks
6.8. Learning Satisfaction Equilibrium
6.9. Summarizing Remarks and Open Issues
Chapter 7. Energy-Efficient Power Control Games
7.1. Introduction
7.2. General System Model
7.3. The One-Shot Power Control Game
7.4. Linear Pricing-Based Power Control
7.5. The Hierarchical Power Control Game
7.6. Repeated Power Control Game
7.7. Slow Power Control and Stochastic Games
7.8. Relaxing Some Information and Behavior Assumptions
Chapter 8. Power Allocation Games and Learning in MIMO Multiuser Channels*
8.1. Introduction
8.2. Power Allocation Games in MIMO Multiple Access Channels
8.3. On the Case of Power Allocation Games in Parallel Multiple Access Channels
8.4. Power Allocation Games in Parallel Interference Relay Channels
8.5. Learning Discrete Power Allocation Policies in Fast Fading MIMO Multiple Access Channels
8.6. Learning Discrete Power Allocation Policies in Slow Fading Single-User MIMO Channels
8.7. Learning Continuous Power Allocation Policies in Static Parallel Multiple Access Channels
Chapter 9. Medium Access Control Games
9.1. Introduction
9.2. Access Control Games for Multiple Access Collision Channels
9.3. Access Control Games for Multi-Receiver Networks
9.4. Multi-Stage Access Control Games with Energy Constraints
9.5. Stochastic Access Control Games
Appendices
References
Index
Product details
- No. of pages: 336
- Language: English
- Copyright: © Academic Press 2011
- Published: August 19, 2011
- Imprint: Academic Press
- eBook ISBN: 9780123846990
- Hardcover ISBN: 9780123846983
About the Authors
Samson Lasaulce
Affiliations and Expertise
Hamidou Tembine
Affiliations and Expertise
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