Game Theory and Learning for Wireless Networks - 1st Edition - ISBN: 9780123846983, 9780123846990

Game Theory and Learning for Wireless Networks

1st Edition

Fundamentals and Applications

Authors: Samson Lasaulce Hamidou Tembine
eBook ISBN: 9780123846990
Hardcover ISBN: 9780123846983
Imprint: Academic Press
Published Date: 19th August 2011
Page Count: 336
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Description

Written by leading experts in the field, Game Theory and Learning for Wireless Networks Covers how theory can be used to solve prevalent problems in wireless networks such as power control, resource allocation or medium access control. With the emphasis now on promoting ‘green’ solutions in the wireless field where power consumption is minimized, there is an added focus on developing network solutions that maximizes the use of the spectrum available.

With the growth of distributed wireless networks such as Wi-Fi and the Internet; the push to develop ad hoc and cognitive networks has led to a considerable interest in applying game theory to wireless communication systems. Game Theory and Learning for Wireless Networks is the first comprehensive resource of its kind, and is ideal for wireless communications R&D engineers and graduate students.

Samson Lasaulce is a senior CNRS researcher at the Laboratory of Signals and Systems (LSS) at Supélec, Gif-sur-Yvette, France. He is also a part-time professor in the Department of Physics at École Polytechnique, Palaiseau, France.

Hamidou Tembine is a professor in the Department of Telecommunications at Supélec, Gif-sur-Yvette, France.

Merouane Debbah is a professor at Supélec, Gif-sur-Yvette, France. He is the holder of the Alcatel-Lucent chair in flexible radio since 2007.

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

Details

No. of pages:
336
Language:
English
Copyright:
© Academic Press 2011
Published:
Imprint:
Academic Press
eBook ISBN:
9780123846990
Hardcover ISBN:
9780123846983

About the Author

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