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.
翻译:本文建议智能反射表面(IRS) 用于加强里西亚淡化通道的物理层安全, 窃听器的角方向与合法用户相匹配。 在此情况下, 我们考虑在主动攻击和被动偷听下双阶段通信系统。 特别是在第一阶段, 基地站避免直接传送给被攻击用户。 在第二阶段, 其他用户在IRS 和能源收集技术的帮助下合作向被攻击用户发送信号。 在主动攻击中, 我们根据统计级化频道错误模型调查一个异常限制波形设计问题, 该模型使用伯恩斯坦式的不平等解决。 至于被动窃听, 平均保密率最大化问题被提出, 由低复杂算法解决 。 数字结果显示, 窃听器频道错误的负面效果大于合法用户的负面效果 。