Hierarchical Power Control in Cognitive Networks

摘要: We investigate the interactive behavior and strategic decision-making between multiple secondary users (SUs) primary (PUs), both of which are end-to-end performance aware in cognitive networks. A Stackelberg game is utilized to formulate spectrum utilization maximization problem after complex interference situation analyzed. Especially, an power cap (IPC) function predefined by PUs as a pricing introduced into utility design SUs guarantee QoS PUs, well decouple constraints. Further, asymmetric information can be formed considering leaders who employ optimal water-filling algorithm, closed-form strategy derived. And accordingly, followers observe available do more foresighted decision learning. What more, we prove optimality existence deceived solutions. Numerical results demonstrate that proposed distributed algorithm provides revenue better guarantees with limited iterations.