A1 Journal article (refereed)
UAV-IRS Assisted Covert Communication : Introducing Uncertainty via Phase Shifting (2024)
Chen, X., Chang, Z., Liu, M., Zhao, N., Hämäläinen, T., & Niyato, D. (2024). UAV-IRS Assisted Covert Communication : Introducing Uncertainty via Phase Shifting. IEEE Wireless Communications Letters, 13(1), 103-107. https://doi.org/10.1109/lwc.2023.3321957
JYU authors or editors
Publication details
All authors or editors: Chen, Xinying; Chang, Zheng; Liu, Mingqian; Zhao, Nan; Hämäläinen, Timo; Niyato, Dusit
Journal or series: IEEE Wireless Communications Letters
ISSN: 2162-2337
eISSN: 2162-2345
Publication year: 2024
Publication date: 03/10/2023
Volume: 13
Issue number: 1
Pages range: 103-107
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Publication country: United States
Publication language: English
DOI: https://doi.org/10.1109/lwc.2023.3321957
Publication open access: Not open
Publication channel open access:
Abstract
The line-of-sight (LoS) channels introduced by unmanned aerial vehicle (UAV) may lead to the threat of being detected, and thus fail the covert communication. This can be solved by intelligent reflection surface (IRS) to introduce additional randomness. In this letter, we propose a novel scheme via a UAV carrying an IRS to establish air-ground links to assist the covert transmission, where the phase shifts of IRS are randomized to preserve the covertness. In addition, the legitimate receiver can act as a jammer in the full-duplex mode to defuse the detection of a warden. An optimal detection threshold and the corresponding error detection probability are derived. Under this worst situation, the optimal transmit-to-jamming ratio is obtained to maximize the achievable transmission rate. Simulation results are presented to show the effectiveness of the proposed UAV-IRS assisted covert communication scheme.
Keywords: wireless data transmission; unmanned aerial vehicles
Free keywords: autonomous aerial vehicles; jamming; uncertainty; transmitters; receiving antennas; probability density function; full-duplex system
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2023
JUFO rating: 2
