Developing policies for channel allocation in Cognitive Radio Networks using Game Theory

Abstract

This paper develops policies for channel allocation in Cognitive Radio Networks (CRN). Game Theory is a tool which can be applied to allocate the limited resources among the selfish users in CRN. The distributed users actions and decisions can drive the system into an equilibrium state. We analyze the Nash Equilibrium (NE) solution for different CRN scenarios beginning from simple scenarios (`Fixed: 3 link, 2 ch' and `Fixed and Random: 5 link, 3 ch') then to a more complex one (`Random: 10 link, 4 ch'). We then develop policies for channel allocation for CRN based on the results obtained. These general policies can be used in other CRN scenarios to reach equilibrium solutions with less computation resources and time.