Game Theory in Wireless and Communication Networks: Theory, Models, and Applications

1. The aim of the course

In this course, we plan to address the challenges from the distributed management of wireless and communication networks, through the lens of game theory. Game theory provides a formal framework with a set of mathematical tools to study the complex interactions among interdependent rational players. Recently, there has been a surge in research activities that employ game theory to model and analyze wireless communication systems. The course introduces new frameworks and tools from game theory while providing an engineering perspective. In particular, we will include several topics that cover a diversity of new game-theoretic tools. The material will be useful to a variety of readers, particularly from the wireless communications and networking field. The material from this book can be used to design and develop more efficient, scalable and robust communication protocols. The key features of this course will be: a) A unified view of novel game theoretical approaches for wireless networks. b) Comprehensive treatment of state-of-the-art distributed techniques for today’s wireless communication problems. c) Coverage of a wide range of techniques for modeling, design, and analysis of wireless networks using game theory. d) Identifying the key research issues related to wireless game theory applications.

2. Textbook

Required: Zhu Han, Dusit Niyato, Walid Saad, Tamer Basar, and Are Hjorungnes, Game Theory in Wireless and Communication Networks: Theory, Models and Applications, Cambridge University Press.

Supplementary: Zhu Han, Dusit Niyato, Walid Saad, and Tamer Basar, Game Theory for Next-Generation Wireless and Communication Networks: Modeling, Analysis, and Design, Cambridge University Press.

3. Topics to be covered

1st week

Overview & Noncooperative Game
Online Lecture(MOOC)

2nd week

Bayesian Game
Online Lecture(MOOC)

3rd week

Differential Game
Online Lecture(MOOC)

4th week

Evolutional Game
Online Lecture(MOOC)

5th week

Cooperative Game
Online Lecture(MOOC)

6th week

Auction Theory
Online Lecture(MOOC)

7th week

Matching Theory
Online Lecture(MOOC)

8th week

Contract Theory
Online Lecture(MOOC)

9th week

Learning in Game
Online Lecture(MOOC)

10th week

Stochastic Game
Online Lecture(MOOC)

11th week

Game wtih Bounded Rationality
Online Lecture(MOOC)

12th week

Equilibrium Programming with Equilibirum Constraints
Online Lecture(MOOC)

13th week

Mean Field Game
Online Lecture(MOOC)

14th week

Zero Determinant Strategy
Online Lecture(MOOC)

15th week

Network Economics
Online Lecture(MOOC)