Abstract
In this paper, the issue of energy-aware competitive resource allocation in an amplify-and-forward (AF) relay-assisted multiple-antenna interference network is considered. A non-cooperative game-theoretic approach is taken and the EE of each communication link is defined as the ratio of the achievable rate over the consumed power. The proposed resource allocation algorithm jointly allocates the relay AF, the users' transmit powers and receive filters. The resulting resource allocation algorithm is shown to converge to a unique fixed point and to have limited feedback and computational requirements. Numerical results are provided to illustrate the performance gain with respect to resource allocation policies that do not perform a joint allocation of the network resources.
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