协作干扰策略是实现物理层安全的一种重要方案.但是由于协作节点的能源有限性以及自私性,干扰服务不能无偿提供,为了使得源节点和协作节点之间取得最优的效益分配,提出了一种基于Stackelberg博弈的能效最优报偿及功率分配方案.根据所建立的双层博弈模型,证明了系统存在唯一的全局最优能效,并且给出了最优功率分配方案的闭式解.仿真结果表明,所设计的协作策略在能效方面优于平均功率分配策略,而且所提方案在多节点协作时能取得更优的表现.
The secrecy rate of the source-destination link can be effectively improved with help of friendly jammers, but the jamming service is not free. Obviously, there exists a tradeoff between the friendly jam- mer and the source-destination pair. An optimal power allocation algorithm based on Stackelberg game was proposed. Based on the proposed two-level Stackelberg game model, the existence of unique globally optimal energy efficiency was proved, and the closed-form result of the optimal energy efficiency was de- rived. Simulations show that the proposed collaboration strategy is better than the average power allocation strategy in terms of energy efficiency. And multi-nodes collaboration could achieve better performance.