The problem of power allocation for deviceto-device (D2D) underlay communication to improve physical layer security is addressed. Specifically, to improve the secure communication of the cellular users, we introduce a Stackelberg game for allocating the power of the D2D link under a total power constraint and a rate constraint at the D2D pair. In the introduced Stackelberg game the D2D pair works as a seller and the cellular UEs work as buyers. Firstly, because the interference signals from D2D pair are unknown to both the legitimate receiver and the illegitimate eavesdropper, it is possible that a cellular UE decline to participate in the introduced Stackelberg game. So the condition under which a legitimate user will participate in the introduced Stackelberg game is discussed. Then, based on the Stackelberg game, we propose a semi-distributed power allocation algorithm, which is proved to conclude after finite-time iterations. In the end, some simulations are presented to verify the performance improvement in the physical layer security of cellular UEs using the proposed power allocation algorithm. We can determine that with the proposed algorithm, while the D2D pair's communication demand is met, the physical layer security of cellular UEs can be improved.
In this paper, we focus on the issue of security due to the open structure of the D2D Communication Underlaying Cellular Networks. In such an open scenario, the problem of interference is very serious. But luckily, the interference can be helpful from a perspective of the physical layer security. The interference caused by D2D communication could be helpful against eavesdroppers to enhance the secure communication of the cellular users when the value of the interference is proper. Note this, the physical layer security of the cellular users can be enhanced with the proper interference management based on the power allocation in D2D communication underlaying cellular networks in a probabilistic eavesdropping scenario. The problem is modeled as a Stackelberg game model. In the model, all cellular users are modeled as followers while the D2D pair is modeled as leader. A semi-centralized power allocation algorithm is proposed to converge to the Stackelberg Equilibrium. And the equilibrium is the final power allocation scheme we want. It is proved that the proposed algorithm can conclude in finite-time iterations. Numerical simulation results show that our proposed power allocation algorithm can obtain larger secrecy data rate, than the other two power allocation algorithms.
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