# Robust Power Allocation in Covert Communication: Imperfect CDI

**Authors:** Moslem Forouzesh, Paeiz Azmi, Nader Mokari, and Dennis Goeckel

arXiv: 1901.04914 · 2019-01-16

## TL;DR

This paper develops robust power allocation strategies for covert communication systems under imperfect channel distribution information, addressing practical uncertainties at both the transmitter and warden to enhance covertness performance.

## Contribution

It introduces new optimization frameworks for power allocation under various imperfect CDI scenarios, considering uncertainties at both Alice and Willie.

## Key findings

- Proposed schemes improve covert rate under uncertain CDI.
- Robust optimization effectively handles channel distribution uncertainties.
- Numerical results demonstrate enhanced covertness and efficiency.

## Abstract

The study of the fundamental limits of covert communications, where a transmitter Alice wants to send information to a desired recipient Bob without detection of that transmission by an attentive and capable warden Willie, has emerged recently as a topic of great research interest. Critical to these analyses is a characterization of the detection problem that is presented to Willie. Previous work has assumed that the channel distribution information (CDI) is known to Alice, hence facilitating her characterization of Willie's capabilities to detect the signal. However, in practice, Willie tends to be passive and the environment heterogeneous, implying a lack of signaling interchange between the transmitter and Willie makes it difficult if not impossible for Alice to estimate the CDI exactly and provide covertness guarantees. In this paper, we address this issue by developing covert communication schemes for various assumptions on Alice's imperfect knowledge of the CDI: 1) when the transmitter knows the channel distribution is within some distance of a nominal channel distribution; 2) when only the mean and variance of the channel distribution are available at Alice; 3) when Alice knows the channel distribution is complex Gaussian but the variance is unknown. In each case, we formulate new optimization problems to find the power allocations that maximize covert rate subject to a covertness requirement under uncertain CDI. Moreover, since Willie faces similar challenges as Alice in estimating the CDI, we investigate two possible assumptions on the knowledge of the CDI at Willie: 1) CDI is known at Willie, 2) CDI is unknown at Willie. Numerical results are presented to compare the proposed schemes from various aspects, in particular the accuracy and efficiency of the proposed solutions for attaining desirable covert system performance.

## Full text

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## Figures

14 figures with captions in the complete paper: https://tomesphere.com/paper/1901.04914/full.md

## References

22 references — full list in the complete paper: https://tomesphere.com/paper/1901.04914/full.md

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Source: https://tomesphere.com/paper/1901.04914