论文标题
智能反射表面有助于安全变速器，而无需窃听CSI
Intelligent Reflecting Surfaces Assisted Secure Transmission Without Eavesdropper's CSI
论文作者
论文摘要
在这封信中，研究了提高智能反射表面（IRS）辅助多输入单输出（MISO）通信系统的安全性。与现有文献中理想的假设不同，在现有文献中，完全窃听（EVE）的频道状态信息（CSI）可用，我们认为没有EVE的CSI，我们认为更实用的情况。为了提高发射机（Alice）的总发射功率（ALICE）的总发射功率，我们提出了一种联合波束形成和控制方法，在这种方法中，首先在爱丽丝（Alice）优化了最小的发射功率，以便在合法用户（BOB）的服务质量（QOS），然后通过使用Alicatual poweratual power来满足合法用户的服务质量（QOS），然后将人造噪声（AN）散发出来。开发了两种利用倾斜歧管（OM）和次要变性（MM）算法的有效算法，用于解决所得的非convex优化问题。已经提供了模拟结果来验证所提出算法的性能和收敛性。
In this letter, improving the security of an intelligent reflecting surface (IRS) assisted multiple-input single-output (MISO) communication system is studied. Different from the ideal assumption in existing literatures that full eavesdropper's (Eve's) channel state information (CSI) is available, we consider a more practical scenario without Eve's CSI. To enhance the security of this system given a total transmit power at transmitter (Alice), we propose a joint beamforming and jamming approach, in which a minimum transmit power is firstly optimized at Alice so as to meet the quality of service (QoS) at legitimate user (Bob), and then artificial noise (AN) is emitted to jam the eavesdropper by using the residual power at Alice. Two efficient algorithms exploiting oblique manifold (OM) and minorizationmaximization (MM) algorithms, respectively, are developed for solving the resulting non-convex optimization problem. Simulation results have been provided to validate the performance and convergence of the proposed algorithms.
