Application of Game Theory to Optimize Wireless System Resource Allocation

Currently, wireless technologies are becoming more complex all the time, and parameter management becomes an increasingly difficult task. The optimization aims at automating the choice of the parameters according to the evolution of the environment. Furthermore, the steady increase in volumes of data that pass through wireless systems tend to saturate. It is therefore necessary to establish strategies in order, for example, to distribute the load on the various wireless access points. Currently, this is achieved by static policies in which mobile are primarily connect via WiFi access points. This takes no account of the quality of service required by the mobile nor the overall state, which changes over time, other systems that the mobile can connect.