arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2103.16696cs.ITcs.CRcs.ETmath.IT
收藏

用于无线通信安全和隐私的智能反射表面

Intelligent Reflecting Surface for Wireless Communication Security and Privacy

Shihao Yan, Xiaobo Zhou, Derrick Wing Kwan Ng, Jinhong Yuan, Naofal Al-Dhahir

摘要:

智能反射面(IRS)是未来无线通信中一种很有前途的技术。由于其通过能量聚焦和能量归零来定制信道条件的优异能力,它是分别从物理层安全和隐蔽通信理论来增强无线通信安全性和隐私性的理想技术。在这篇文章中,我们首先提出了一些结果应用IRS提高窃听信道的平均保密率,使完美的通信隐蔽性,并故意创造额外的随机性,在无线传播隐藏活跃的无线传输。然后,我们确定了未来研究的多个挑战,以充分释放IRS在物理层安全和隐蔽通信方面提供的好处。借助大量的数值研究,我们证明了在无线通信中设计IRS单元的幅度时,考虑安全性和隐私性的必要性,其中最优值并不总是文献中通常采用的$1$。此外,我们揭示了可实现的保密性能和IRS的信道状态信息(CSI)在合法和恶意用户的估计精度之间的权衡,这提出了基本的资源分配的IRS辅助物理层安全的背景下的挑战。最后,讨论了利用深度神经网络和场景图像的被动信道估计方法,作为在不利用资源匮乏的导频的情况下实现CSI可用性的潜在解决方案。这种方法作为一个可见的途径,以显着提高在IRS辅助无线网络的隐蔽通信速率。

英文摘要:

Intelligent reflection surface (IRS) is emerging as a promising technique for future wireless communications. Considering its excellent capability in customizing the channel conditions via energy-focusing and energy-nulling, it is an ideal technique for enhancing wireless communication security and privacy, through the theories of physical layer security and covert communications, respectively. In this article, we first present some results on applying IRS to improve the average secrecy rate in wiretap channels, to enable perfect communication covertness, and to deliberately create extra randomness in wireless propagations for hiding active wireless transmissions. Then, we identify multiple challenges for future research to fully unlock the benefits offered by IRS in the context of physical layer security and covert communications. With the aid of extensive numerical studies, we demonstrate the necessity of designing the amplitudes of the IRS elements in wireless communications with the consideration of security and privacy, where the optimal values are not always $1$ as commonly adopted in the literature. Furthermore, we reveal the tradeoff between the achievable secrecy performance and the estimation accuracy of the IRS's channel state information (CSI) at both the legitimate and malicious users, which presents the fundamental resource allocation challenge in the context of IRS-aided physical layer security. Finally, a passive channel estimation methodology exploiting deep neural networks and scene images is discussed as a potential solution to enabling CSI availability without utilizing resource-hungry pilots. This methodology serves as a visible pathway to significantly improving the covert communication rate in IRS-aided wireless networks.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑