A desirable ability of a multi-homed mobile terminal is to associate each of its running application flows to a specific network cell via terminal's network radio interfaces seeking for better utility values. In this paper, we consider a system of multi-homed mobile terminals with such ability of flow/interface associations. We then model the system as a strategic game where multiple terminals compete for common network resources. By using evolutionary game theory, we show that the system converges to efficient Nash equilibria which optimize the total utility of the system. Moreover, simulation scenarios, implementing the so-called Nash learning algorithm, are developed to validate the theoretical results.
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