Game Theory and Learning for Wireless Networks
Fundamentals and ApplicationsBy
- Samson Lasaulce, Supelec, France
- Hamidou Tembine, CNRS LSS, Gif-sur-Yvette, France
* The first tutorial-style book that gives all the relevant theory at the right level of rigor, 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-word problems.
* Contains algorithms and techniques to implement game theory in wireless terminals.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.
University researchers and R&D engineers in the industry, graduate and PhD students in wireless communications
Hardbound, 336 Pages
Published: August 2011
Imprint: Academic Press
Preface and Introduction.
Part A Games with Complete Information
A1 A short tour of game theoryA2 Playing with equilibria in wireless non-cooperative games
A3 Moving from static to dynamic gameA4 Coalitional games
Part B Games with complete information and learningB1 Bayesian games
B2 Partially distributed learning algorithmsB3 Fully distributed learning algorithms
Part C Case StudiesC1 Fundamentals of wireless communications
C2 Energy-efficient power control gamesC3 Rate-efficient power allocation games
C4 Medium access control gamesPart D Appendices
Bibliography and index