Course Syllabus for

Applications of Game Theory in Wireless Networks
Tillämpningar av spelteori inom trådlösa nätverk

EIT125F, 3 credits

Valid from: Autumn 2015
Decided by: FN1/Anders Gustafsson
Date of establishment: 2015-05-18

General Information

Division: Electrical and Information Technology
Course type: Third-cycle course
Teaching language: English


The demand for wireless communications is growing with a tremendous pace. Game theory has shown to be a robust tool to address problems with resource assignment. The course aims to highlight applications in wireless communication by classifying game-theory methods with regards to the specific use cases of resource sharing in wireless networks, ranging from power assignment and channel allocation to medium access control and transmission scheduling. For the identified cases, the course also aims to enable the doctoral students to undertake the study of selfish behaviour and to choose and apply suitable incentive schemes to enforce cooperation among participating network entities to achieve globally efficient resource sharing.


Knowledge and Understanding

For a passing grade the doctoral student must

Competences and Skills

For a passing grade the doctoral student must

Judgement and Approach

For a passing grade the doctoral student must

Course Contents

1. Resource allocation problems in wireless networks: cellular and broadband, wireless local area networks, multi-hop networks, cognitive radio networks 2. Game theory in a nutshell: definitions, taxonomy of game types, solution concepts, solution efficiency, learning in games, useful game structures, example resource assignment games in wireless communications 3. Incentive schemes: concepts, taxonomy, case studies from wireless communications 4. Mechanism design: concepts, auctions, case studies from wireless communications 5. Cooperative game theory: coalition formation, bargaining protocols, selected problems from wireless communications 6. Empirical game-theoretic analysis: simulation methods, model complexity, convergence, communication and computational costs

Course Literature

Other selected materials from literature.

Instruction Details

Types of instruction: Lectures, exercises, project

Examination Details

Examination formats: Written report, written assignments, seminars given by participants, miscellaneous. The doctoral students are also required to do a mini-project as part of course requirements.
Grading scale: Failed, pass

Admission Details

Assumed prior knowledge: The doctoral students should be fluent in standard mathematics, basics of game theory, and fundamental concepts of wireless communications.

Further Information

Course coordinator: Saeed Bastani,

Course Occasion Information

Contact and Other Information

Course coordinators:

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