Congestion game modeling for brokerage based multimedia resource management

We introduce the concept of resource brokers, which enables efficient and fair management of the available network resources for multimedia users in large networks while reducing the complexity of a central resource allocation authority. To manage the available resources, the resource brokers deploy axiomatic bargaining solutions from economic game theory in order to explicitly consider the utility impact for different resource allocation schemes. We focus on the Kalai-Smorodinsky bargaining solution because it can successfully model relevant autonomous utility-aware fairness policies for multimedia users. Based on the interpretations of the bargaining solutions, we can model the proposed resource allocation scheme as a utility-driven congestion game, thereby ensuring that the presented resource management game will reach a steady-state after a finite (small) number of changes across resource brokers (i.e., at least one Nash equilibrium exists).