This letter attempts to design a surveillance scheme by adopting an active reconfigurable intelligent surface (RIS). Different from the conventional passive RIS, the active RIS could not only adjust the phase shift but also amplify the amplitude of the reflected signal. With such reflecting, the reflected signal of active RIS could jointly adjust the signal to interference plus noise ratio (SINR) of the suspicious receiver and the legitimate monitor, hence the proactive eavesdropping at the physical layer could be effectively realized. We formulate the optimization problem with the target of maximizing the eavesdropping rate to obtain the optimal reflecting coefficient matrix of the active RIS. The formulated optimization problem is nonconvex fractional programming and challenging to deal with. We then solve the problem by approximating it as a series of convex constraints. Simulation results validate the effectiveness of our designed surveillance scheme and show that the proposed active RIS aided surveillance scheme has good performance in terms of eavesdropping rate compared with the scheme with passive RIS.
翻译:这封信试图设计一种监视计划,采用一种活跃的可调整智能表面(RIS)。与常规的被动的RIS不同的是,活跃的RIS不仅可以调整阶段变化,还可以扩大反射信号的振幅。通过这种反射,主动的RIS的反射信号可以联合将信号调整为可疑接收者和合法监视器的干扰加噪声比(SINR),从而可以有效地实现对物理层的主动窃听。我们提出了优化问题,目标是最大限度地提高静电窃听率,以获得主动的RIS的最佳反映系数矩阵。所拟订的优化问题不是电解分数程序,而是应对的挑战。我们随后通过将它相近地作为一系列convex限制来解决这个问题。模拟结果证实了我们设计的监视计划的有效性,并表明拟议的主动的RIS辅助监视计划在与被动的RIS相比,在窃听率方面表现良好。