Covert Communication With Channel-State Information at the Transmitter
Name
1708.02501.pdf
Description
Accepted version
Size
484.1 KB
Format
Adobe PDF
Checksum (MD5)
5ac1d944b2b53e8cd4530545874e1990
Author(s)
Lee, Si-Hyeon
Wang, Ligong
Khisti, Ashish
Wornell, Gregory W
Date Issued
March 2018
Journal
IEEE Transactions on Information Forensics and Security
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Lee, Si-Hyeon et al. "Covert Communication With Channel-State Information at the Transmitter." IEEE Transactions on Information Forensics and Security 13, 9 (September 2018): 2310 - 2319. © 2005-2012 IEEE.
Version
Author's final manuscript
Abstract
We consider the problem of covert communication over a state-dependent channel, where the transmitter has causal or noncausal knowledge of the channel states. Here, covert means that a warden on the channel should observe similar statistics when the transmitter is sending a message and when it is not. When a sufficiently long secret key is shared between the transmitter and the receiver, we derive closed-form formulas for the maximum achievable covert communication rate (covert capacity) for discrete memoryless channels and, when the transmitter's channel-state information (CSI) is noncausal, for additive white Gaussian noise (AWGN) channels. For certain channel models, including the AWGN channel, we show that the covert capacity is positive with CSI at the transmitter, but is zero without CSI. We also derive lower bounds on the rate of the secret key that is needed for the transmitter and the receiver to achieve the covert capacity. Keywords: Transmitters; Receivers; AWGN channels; Monte Carlo methods; Jamming; Interference; Memoryless systems
Subjects
Computer Networks and Communications
Safety, Risk, Reliability and Quality
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/tifs.2018.2818650
