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IEEE Transactions on Communications
Article . 2024 . Peer-reviewed
License: CC BY
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DIGITAL.CSIC
Article . 2024 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2023
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
DBLP
Article . 2024
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DBLP
Preprint . 2025
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Covert Communication With Gaussian Noise: From Random Access Channel to Point-to-Point Channel

Authors: Masahito Hayashi; Ángeles Vázquez-Castro;

Covert Communication With Gaussian Noise: From Random Access Channel to Point-to-Point Channel

Abstract

We propose a covert communication protocol for the spread-spectrum multiple random access with additive white Gaussian noise (AWGN) channel. No existing paper has studied covert communication for the random access channel. Our protocol assumes binary discrete phase-shift keying (BPSK) modulation, and it works well under imperfect channel state information (I-CSI) for both the legitimate and adversary receivers, which is a realistic assumption in the low power regime. Also, our method assumes that the legitimate users share secret variables in a similar way as the preceding studies. Although several studies investigated the covert communication for the point-to-point communication, no existing paper considers the covert communication under the above uncertainty assumption even for point-to-point communication. Our protocol under the above uncertainty assumption allows O(n) legitimate senders and O(n/log n) active legitimate senders. Furthermore, our protocol can be converted to a protocol for point-to-point communication that works under the above uncertainty assumption.

Country
Spain
Keywords

FOS: Computer and information sciences, Covert communication, Computer Science - Information Theory, Information Theory (cs.IT), Uncertainty, AWGN channels, Information hiding, Receivers, Symbols, Codes, Random access channel, Universal code, Channel models, Protocols

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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