Covert Transmission Assisted by Intelligent Reflecting Surface

Si, Jiangbo; Li, Zan; Zhao, Yan; Cheng, Julian; Guan, Lei; Shi, Jia; Al-Dhahir, Naofal

doi:10.48550/arxiv.2008.05031

Cited by 3 publications

(2 citation statements)

References 39 publications

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“…1) Reflection Amplitude Optimization: Different from the above positive results of using IRS in covert communications, the work in [11] showed that IRS may be harmful to covert transmissions in some cases, even when the partial or full CSI of Willie's links is available.…”

Section: B Existing Challenges and Future Workmentioning

confidence: 99%

Intelligent Reflecting Surface for Wireless Communication Security and Privacy

Yan,

Zhou,

et al. 2021

Preprint

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Intelligent reflection surface (IRS) is emerging as a promising technique for future wireless communications. Considering its excellent capability in customizing the channel conditions via energyfocusing 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.

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Section: B Existing Challenges and Future Workmentioning

confidence: 99%

Intelligent Reflecting Surface for Wireless Communication Security and Privacy

Yan,

Zhou,

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

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“…With the help of IRS, [12] showed that covert communication performance can be improved in the single-input-single-output (SISO) system. The work of [12] was then extended to a more general system setup with both single antenna and multiple antennas at the legitimate transmitter in [13], and authors studied the IRSassisted covert communication under the assumption of infinite number of channel uses. In [14] authors considered the delayconstrained IRS assisted covert communication.…”

Section: Introductionmentioning

confidence: 99%

Covert Beamforming Design for Intelligent Reflecting Surface Assisted IoT Networks

Ma¹,

Li²,

Sun³

et al. 2021

Preprint

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In this paper, we consider covert beamforming design for intelligent reflecting surface (IRS) assisted Internet of Things (IoT) networks, where Alice utilizes IRS to covertly transmit a message to Bob without being recognized by Willie. We investigate the joint beamformer design of Alice and IRS to maximize the covert rate of Bob when the knowledge about Willie's channel state information (WCSI) is perfect and imperfect at Alice, respectively. For the former case, we develop a covert beamformer under the perfect covert constraint by applying semidefinite relaxation. For the later case, the optimal decision threshold of Willie is derived, and we analyze the false alarm and the missed detection probabilities. Furthermore, we utilize the property of Kullback-Leibler divergence to develop the robust beamformer based on a relaxation, S-Lemma and alternate iteration approach. Finally, the numerical experiments evaluate the performance of the proposed covert beamformer design and robust beamformer design.

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Covert Communication in Intelligent Reflecting Surface-Assisted NOMA Systems: Design, Analysis, and Optimization

et al. 2020

Preprint

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Covert Transmission Assisted by Intelligent Reflecting Surface

Cited by 3 publications

References 39 publications

Intelligent Reflecting Surface for Wireless Communication Security and Privacy

Intelligent Reflecting Surface for Wireless Communication Security and Privacy

Covert Beamforming Design for Intelligent Reflecting Surface Assisted IoT Networks

Covert Communication in Intelligent Reflecting Surface-Assisted NOMA Systems: Design, Analysis, and Optimization

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