论文标题

IRS辅助安全SWIPT MIMO系统的用户合作

User Cooperation for IRS-aided Secure SWIPT MIMO Systems

论文作者

Zhou, Gui, Pan, Cunhua, Ren, Hong, Wang, Kezhi, Chai, Kok Keong, Wong, Kai-Kit

论文摘要

在本文中,提出了智能反射表面(IRS),以增强里克里亚人褪色通道中的物理层安全性,其中窃听者的角度方向与合法的用户对齐。在这种情况下,我们考虑在主动攻击和被动窃听下的两阶段通信系统。特别是,在第一阶段,基站避免直接传输给受攻击的用户。在第二阶段,其他用户在IRS和能源收集技术的帮助下合作将信号转发给受攻击的用户。在主动攻击下,我们研究了在统计级联通道误差模型下的停机限制的束缚设计问题,该模型通过使用Bernstein-Type不等式来解决。至于被动窃听,平均保密率最大化问题是由低复杂性算法解决的。数值结果表明,窃听的通道误差的负面影响大于合法用户的负面影响。

In this paper, intelligent reflecting surface (IRS) is proposed to enhance the physical layer security in the Rician fading channel where the angular direction of the eavesdropper is aligned with a legitimate user. In this scenario, we consider a two-phase communication system under the active attacks and passive eavesdropping. Particularly, in the first phase, the base station avoids direct transmission to the attacked user. While, in the second phase, other users cooperate to forward signals to the attacked user with the help of IRS and energy harvesting technology. Under the active attacks, we investigate an outage constrained beamforming design problem under the statistical cascaded channel error model, which is solved by using the Bernstein-type inequality. As for the passive eavesdropping, an average secrecy rate maximization problem is formulated, which is addressed by a low complexity algorithm. Numerical results show that the negative effect of the eavesdropper's channel error is greater than that of the legitimate user.

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