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Distributed power control with double-layer Stackelberg game and utility learning in cooperative relay networks

We investigate the power control problem for multi-user and multi-relay cooperative relay networks. In order to improve the efficiency of power control in wireless networks with self-interested nodes, a double-layer Stackelberg game model with utility learning is initially proposed to jointly allocate the power consumption of both users and relays. Competition among relays and competition among users are modeled as a non-cooperative game respectively, strategies of relays are price. Given specific prices, the users compete with each other in resources. In order to reduce the complexity and communication overhead of the power control, a game-theoretic distributed utility learning algorithm is also proposed to update the game policies of both users and relays based on the local channel state information. Simulation results demonstrate the efficiency of the proposed power control algorithm.