Game Models for Cognitive Radio Algorithm Analysis

Abstract

Game theory is a promising approach for analyzing the interactions of adaptive and cognitive radios. This paper describes how the components of the cognition cycle map into normal form game model and describes standard game theory techniques for investigating four important issues that game theory should address: steady state existence, steady state identification, convergence and steady state optimality. This paper then describes three game models that can aid the analyst in addressing these issues and concludes with a discussion of additional ways in which the use of game models aids the analysis and development of cognitive and adaptive radios.