Covert Transmission Assisted by Intelligent Reflecting Surface
Jiangbo Si, Zan Li, Yan Zhao, Julian Cheng, Lei Guan, Jia Shi, and, Naofal Al-Dhahir

TL;DR
This paper explores how intelligent reflecting surfaces (IRS) can be used to enhance covert communication by optimizing transmission strategies to avoid detection, considering various system configurations and channel information scenarios.
Contribution
It introduces joint optimization algorithms for IRS phase shifts and transmit beamforming to maximize covert rates under different CSI conditions, including imperfect information.
Findings
IRS can reduce covert transmission rate when Willie is closer to IRS than Bob.
Proposed algorithms effectively optimize covert transmission strategies.
Simulations confirm the impact of IRS positioning on covert communication performance.
Abstract
Covert transmission is studied for an intelligent reflecting surface (IRS) aided communication system, where Alice aims to transmit messages to Bob without being detected by the warden Willie. Specifically, an IRS is used to increase the data rate at Bob under a covert constraint. For the considered model, when Alice is equipped with a single antenna, the transmission power at Alice and phase shifts at the IRS are jointly optimized to maximize the covert transmission rate with either instantaneous or partial channel state information (CSI) of Willie's link. In addition, when multiple antennas are deployed at Alice, we formulate a joint transmit beamforming and IRS phase shift optimization problem to maximize the covert transmission rate. One optimal algorithm and two low-complexity suboptimal algorithms are proposed to solve the problem. Furthermore, for the case of imperfect CSI of…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Wireless Communication Security Techniques · Ocular Disorders and Treatments
