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




University researchers and R&D engineers in the industry, graduate and PhD students in wireless communications

Table of Contents


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


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© 2011
Academic Press
Print ISBN:
Electronic ISBN:

About the authors

Samson Lasaulce

Samson received his BSc and Agrégation degree in Applied Physics from École Normale Supérieure (Cachan) and his MSc and PhD in Signal Processing from École Nationale Supérieure des Télécommunications (Paris). Professional experience. He has been working with Motorola Labs for three years (1999, 2000, 2001) and with France Télécom R&D for two years (2002, 2003). Since 2004, he has joined the CNRS and Supélec. Since 2004, he is also Chargé d'Enseignement at École Polytechnique. His broad interests lie in the areas of communications, signal processing and information theory with a special emphasis on game theory for wireless communications. Samson Lasaulce is the recipient of the 2007 ACM/ICST International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS) and 2009 International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM) best student paper awards. Elena Veronica Belmega, who is a PhD student under my supervision, was awarded with the 2009 Academy of Sciences - L'Oreal - Unesco award for young women in sciences in France.

Affiliations and Expertise

Supelec, France

Hamidou Tembine

Affiliations and Expertise

CNRS LSS, Gif-sur-Yvette, France