On Covert Communication with Interference Uncertainty

Zhihong Liu, Jiajia Liu, Yong Zeng, Jianfeng Ma, Qiping Huang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

41 Scopus citations

Abstract

Covert communication can prevent the opponent from knowing that a wireless communication has occurred. If only the additive white Gaussian noise (AWGN) channels and ambient noise are taken into consideration, a square root law was obtained and the result shows that the privacy rate approaches zero asymptotically. In this paper, we consider the covert communication in large-scale wireless networks, where the transmitters form a stationary Poisson point process, and Alice wishes to communicate covertly to Bob without being detected by warden Dave. In this scenario, Bob and Dave not only experience the ambient noise, but also the aggregate interference simultaneously. Although the interference sources are not in collusion with Alice, and Bob's noise increases as well, our results show that, the measurement uncertainty of Dave will increase along with the increase of interference, and interference can indeed improve the performance of covert communication.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Communications, ICC 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538631805
DOIs
StatePublished - 27 Jul 2018
Externally publishedYes
Event2018 IEEE International Conference on Communications, ICC 2018 - Kansas City, United States
Duration: 20 May 201824 May 2018

Publication series

NameIEEE International Conference on Communications
Volume2018-May
ISSN (Print)1550-3607

Conference

Conference2018 IEEE International Conference on Communications, ICC 2018
Country/TerritoryUnited States
CityKansas City
Period20/05/1824/05/18

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