Achieving Covert Communication With A Probabilistic Jamming Strategy
Xun Chen, Fujun Gao, Min Qiu, Jia Zhang, Feng Shu, Shihao Yan

TL;DR
This paper explores a probabilistic jamming strategy to enhance covert communication, analyzing detection performance and optimizing throughput while revealing that probabilistic jamming can outperform continuous jamming under certain constraints.
Contribution
It introduces a novel probabilistic jamming approach for covert communication, demonstrating its advantages over traditional continuous jamming in terms of throughput and power efficiency.
Findings
Probabilistic jamming can outperform continuous jamming in covert throughput.
Minimum jamming power should match Alice's covert transmit power.
Optimal jamming power is not always zero, contrary to previous assumptions.
Abstract
In this work, we consider a covert communication scenario, where a transmitter Alice communicates to a receiver Bob with the aid of a probabilistic and uninformed jammer against an adversary warden's detection. The transmission status and power of the jammer are random and follow some priori probabilities. We first analyze the warden's detection performance as a function of the jammer's transmission probability, transmit power distribution, and Alice's transmit power. We then maximize the covert throughput from Alice to Bob subject to a covertness constraint, by designing the covert communication strategies from three different perspectives: Alice's perspective, the jammer's perspective, and the global perspective. Our analysis reveals that the minimum jamming power should not always be zero in the probabilistic jamming strategy, which is different from that in the continuous jamming…
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Taxonomy
TopicsWireless Communication Security Techniques
