Course Description
This course is designed to introduce fundamental knowledge on the several theoretic methods and how to use them to model and analyze different issues in communication systems such as resource allocation in mobile computing, routing in the networking, and protocol design in wireless communication systems. For instance, the strategic making decision can be used to analyze the task and resource allocation in mobile computing. The VCG auction can be used to analyze the shortest path routing problem in communication networks. Reverse auction can be used to design incentive mechanism in the mobile intelligent sensing network. Coalitional activity can be used to analyze the cooperative relay networks. By learning this course, students should have deep understanding on these theoretic analysis methods and have the capability of using these methods to mathematically model and analyze various interactive problems in communication systems. All of these are assessed in assignments, presentations and projects.
Intended Learning Outcomes
CILO-1: Apply theoretical methods such as coalitional game, Bayesian game, and bargaining theory to formulate and analyze the resource allocation problems in communication systems
CILO-2: Design incentive mechanism to meet the performance requirements in wireless sensor networks
CILO-3: Apply auction theory to the design of efficient routing algorithm.