论文标题
联合传输和反射式波束形式的设计，用于IRS辅助WSN的安全估计
Joint Transmit and Reflective Beamformer Design for Secure Estimation in IRS-Aided WSNs
论文作者
论文摘要
当传感器节点（SNS）通过开放的无线电通道通信时，无线传感器网络（WSN）很容易窃听。智能反射表面（IRS）技术可以利用WSN中的物理层安全性。在本文中，我们提出了在WSN中存在Eavesdropper（ED）的情况下，在融合中心（FC）的安全参数估计中提出了一个关节传输和反射式光束器（JTRB）设计。我们开发了一个基于半决赛的迭代算法（SDR）的迭代算法，该算法在每个SN处交替产生发射光束器，并在IRS处产生相应的反射阶段，以实现FC处的最小均时误差（MSE）参数估计，从而获得了频率和ED信号 - 刺激性刺激性率。我们的仿真结果表明了基于IRS的JTRB技术的强大MSE和安全性能。
Wireless sensor networks (WSNs) are vulnerable to eavesdropping as the sensor nodes (SNs) communicate over an open radio channel. Intelligent reflecting surface (IRS) technology can be leveraged for physical layer security in WSNs. In this paper, we propose a joint transmit and reflective beamformer (JTRB) design for secure parameter estimation at the fusion center (FC) in the presence of an eavesdropper (ED) in a WSN. We develop a semidefinite relaxation (SDR)-based iterative algorithm, which alternately yields the transmit beamformer at each SN and the corresponding reflection phases at the IRS, to achieve the minimum mean-squared error (MSE) parameter estimate at the FC, subject to transmit power and ED signal-to-noise ratio constraints. Our simulation results demonstrate robust MSE and security performance of the proposed IRS-based JTRB technique.
