In this paper we have integrated Game theory framework, effective capacity theory and interference minimization for power allocation analysis over fading multiple access channels (MAC). Game theory is a powerful tool for modeling selfish behavior of competitors in resource allocation contest and can be used effectively in designing and modeling behavior of users in distributed resource allocation situations. Effective capacity is a useful tool that can impressively characterize delay constraint for wireless links. Interference consideration is too critical in multiple access channels and dynamic spectrum access policies. Here we set up a non-cooperative game and then we derive Nash equilibrium by analyzing the two player game. In the sense of simultaneous transmission our proposed policy caused less interference to users and better rates in Shannon capacity region achieved while considering QoS of users. We investigate the performance of our scheme for cases in which the QoS constraints of users increased and then we compare our scheme with the QoS-Driven power allocation game.
Game Theory; Effective Capacity; Multiple Access Channels; Power Allocation; Interference Minimization.