论文标题
多IRS毫米波网络中的保密率最大化
Secrecy Rate Maximization in Multi-IRS Millimeter Wave Networks
论文作者
论文摘要
本文研究了配备了几种智能反射表面（IRS）的毫米波（MMWave）网络的物理层（MMWAVE）网络的安全性的问题。在此网络中，多个IRS可帮助基站（BS）向所需的用户传达信号，同时保持网络的安全性，即确保不可避免的EavesDropper接收信号。提出的方案的目标是通过共同优化BS处的主动光束和在IRSS处的被动横梁来最大化保密率。这导致了一个非凸优化问题，我们通过将其分解为两个子问题来解决。子问题可使用半明确松弛（SDR）技术解决主动和被动的波束形成设计问题。最后，进行模拟以评估所提出的算法的性能。这些结果表明，在MMWave频带中运行的无线网络中使用多个IRS在提高保密率中的优势。
This paper investigates the problem of increasing the security at the physical layer of a Millimeter Wave (mmWave) network equipped with several Intelligent Reflecting Surfaces (IRSs). In this network, multiple IRSs help the Base Station (BS) to reach the signal to the desired user and at the same time maintain the security of the network i.e. securing the signal from receiving by the unallowable eavesdropper. The target of the proposed scheme is to maximize the secrecy rate by jointly optimizing the active beamforming at the BS and passive beamforming at the IRSs. This leads to a non-convex optimization problem which we solve by decomposing into two sub-problems. The sub-problems alternatively solve the active and passive beamforming design problems using the Semi-Definite Relaxation (SDR) technique. Finally, simulations are done to assess the performance of the proposed algorithm. These results show the superiority of using multiple IRSs in the enhancement of the secrecy rate in the wireless networks that operate in the mmWave frequency bands.
