Intelligent Reflecting Surface Assisted Covert Communication With Transmission Probability Optimization

This letter investigates covert communication in an intelligent reflecting surface (IRS)-assisted system. We propose a novel algorithm that jointly optimizes the transmission probability, transmit power at a transmitter, and the reflection matrix of an IRS with the goal of maximizing the achievable...

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Bibliographic Details
Published inIEEE wireless communications letters Vol. 10; no. 8; pp. 1825 - 1829
Main Authors Kong, Justin, Dagefu, Fikadu T., Choi, Jihun, Spasojevic, Predrag
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.08.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Covert communication
Error analysis
Error detection
Error probability
intelligent reflecting surface
Location awareness
Maximization
Optimization
Receivers
Reconfigurable intelligent surfaces
transmission probability optimization
Transmitters
Uncertainty
Wireless networks
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Summary:This letter investigates covert communication in an intelligent reflecting surface (IRS)-assisted system. We propose a novel algorithm that jointly optimizes the transmission probability, transmit power at a transmitter, and the reflection matrix of an IRS with the goal of maximizing the achievable rate at a receiver while ensuring the covertness of the transmission. We first analyze the expected detection error probability at a warden, and then develop a technique for covert rate maximization using only one-dimensional search methods. The proposed strategy achieves near-optimal performance and its performance is superior to that of the conventional scheme with a fixed transmission probability.
ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2021.3082841