Covert Communications with Extremely Low Power under Finite Block Length over Slow Fading
Abstract
This paper investigates the achievable message transmission rate of covert communication over slow fading channels where the channel coefficient remains unchanged over a finite transmission block. Such communication is often implemented with an extremely low transmission power aiming to achieve low probability of detection by the eavesdropper and under tolerable probability of decoding error for the legitimate receiver. The exact expression of achievability and asymptotic covert bounds are derived, which are shown in accordance with the square root law in AWGN (Additive White Gaussian Noise) channels with large transmission blocks. The case that the eavesdropper has unknown channel state information is also studied in the paper.
Recommended Citation
H. Tang et al., "Covert Communications with Extremely Low Power under Finite Block Length over Slow Fading," Proceedings of the 2018 IEEE Conference on Computer Communications Workshops (2018, Honolulu, HI), pp. 657 - 661, Institute of Electrical and Electronics Engineers (IEEE), Apr 2018.
The definitive version is available at https://doi.org/10.1109/INFCOMW.2018.8406961
Meeting Name
2018 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS (2018: Apr. 15-19, Honolulu, HI)
Department(s)
Electrical and Computer Engineering
Sponsor(s)
National Key R&D Program of China
National Natural Science Foundation (China)
National Science Foundation (U.S.)
Wilkens Missouri Endowment
Keywords and Phrases
Communication channels (information theory); Fading channels; Gaussian noise (electronic); White noise; Additive White Gaussian noise; Channel coefficient; Covert communications; Low probability of detections; Low-power communication; Message transmissions; Security; Slow fading channel; Channel state information; Low Power Communications
International Standard Book Number (ISBN)
978-1-5386-5979-3
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Apr 2018
Comments
This work was supported in part by the National Key R&D Program of China (Grant No.2017YFE0112300) and the National Natural Science Foundation of China under Grant 61471221, in part by the U.S.National Science Foundation under Grant ECCS-1646548 and the Wilkens Telecommunications Endowment at Missouri University of Science and Technology