Cognitive Radio Network Modeling Using Game Theoretic Approach for Effective Resource Allocation

Abstract: Spectrum Sensing, Resource Sharing and Enhanced Multihop Modelling scenarios have seen much change in the last decade, leading to better probability of choosing near perfection assumptions and working models for Cognitive Radio Networks. In continuation to the contributions of the world for the improvements of intelligent radio networks, this project is aimed at developing an optimal solution for maximising throughput and resource allocation link stability, using Game Theory concepts. Primarily, three different versions of game models will be used for enhancing resource allocation – “Vernacular Flow Game”, “Global Knowledge Flow Game” and “Link Cooperation Game”. With the results of these condition-based simulations in hand, further enhancements has made using another viable game theory model called “Bayesian Signalling Game”, whose comparison results has shown and tabulated, along with a comparative study inference.

Keywords: Cognitive Radio Network- Spectrum sensing- Resource sharing- Game theory- Throughput