Game-Theoretic Paradigm for Resource Management in Spectrum Agile Wireless Networks

Abstract

We propose a new way of architecting the wireless multimedia communications systems by jointly optimizing the protocol stack at each station and the resource exchanges among stations. We model wireless stations as rational players competing for available wireless resources in a dynamic repeated game. We investigate and quantify the system performance and the impact of different crosslayer strategies deployed by wireless stations onto their own performance as well as the competing station performance. We show through simulations that the proposed game-theoretic resource management outperforms alternative techniques such as air-fair time and equal time resource allocation in terms of the total system utility.