Power Allocation Strategy of Untrusted Relay Network Based on Stackelberg Game

In wireless communication systems, relay can improve the communication quality and increase communication distance. However, most of the current researches treat the relay node as a selfless node, and seldom pay attention to the individual needs and fairness. To address this issue, in this paper, we study power allocation scheme based on Game theory in untrusted relay networks. The model price incentive mechanism based on Stackelberg Game is used to solve the power allocation problem, which aims to achieve active participation assistance of relay and reduce the system signaling overhead. Meanwhile, the convergence of the algorithm is also analyzed. The simulation results show that compared with the existing fixed allocation methods, the power allocation based on this scheme has better destination node utility and global maximum secrecy rate. Moreover, we find that the dynamic power allocation strategy based on Stackelberg Game scheme is more suitable for dynamic scenes, which only rely on the imperfect channel state information.