Power Allocation Method Based on Two-Stage Stackelberg Game in Wireless Networks

In this paper, we investigate the resource allocation in wireless cooperative networks with multiple selfish but friendly intermediate nodes. To improve the efficiency of power control, we propose a power allocation method based on two-stage Stackelberg game. In this method, the source node is modeled as the buyer, and the relay node and friendly interference node are modeled as sellers. In particular, the source node encourages intermediate nodes to participate in cooperative communication through price incentive, and purchases power from them to improve the system security rate. At the same time, intermediate nodes gain revenue by selling power. In addition, to make selected nodes achieve the maximum system security rate, we introduce a learning-theory based node selection algorithm. Finally, numeri-cal results show that the proposed power allocation method and node selection algorithm can achieve comparable performance to that traditional resource allocation methods.