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Analysis of the Mutual Information of Channel Phase Observations in Line-of-Sight Scenarios

The mutual information of the observed channel phase between devices can serve as an entropy source for secret key generation in line-of-sight scenarios. However, so far only simulated and numeric results were available. This paper derives the probability distribution of the channel phase and corres...

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Detalles Bibliográficos
Autores principales: Matthé, Maximilian, Chorti, Arsenia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378292/
https://www.ncbi.nlm.nih.gov/pubmed/37509985
http://dx.doi.org/10.3390/e25071038
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author Matthé, Maximilian
Chorti, Arsenia
author_facet Matthé, Maximilian
Chorti, Arsenia
author_sort Matthé, Maximilian
collection PubMed
description The mutual information of the observed channel phase between devices can serve as an entropy source for secret key generation in line-of-sight scenarios. However, so far only simulated and numeric results were available. This paper derives the probability distribution of the channel phase and corresponding expressions for the mutual information. Moreover, the orientation distribution is optimized in order to maximize the mutual information. All presented results are validated numerically. These outcomes serve as a basis for further analytic investigations on the secret key generation rate and subsequent physical layer security performance analysis in line-of-sight scenarios, such as those encountered in drone-aided communications.
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spelling pubmed-103782922023-07-29 Analysis of the Mutual Information of Channel Phase Observations in Line-of-Sight Scenarios Matthé, Maximilian Chorti, Arsenia Entropy (Basel) Article The mutual information of the observed channel phase between devices can serve as an entropy source for secret key generation in line-of-sight scenarios. However, so far only simulated and numeric results were available. This paper derives the probability distribution of the channel phase and corresponding expressions for the mutual information. Moreover, the orientation distribution is optimized in order to maximize the mutual information. All presented results are validated numerically. These outcomes serve as a basis for further analytic investigations on the secret key generation rate and subsequent physical layer security performance analysis in line-of-sight scenarios, such as those encountered in drone-aided communications. MDPI 2023-07-10 /pmc/articles/PMC10378292/ /pubmed/37509985 http://dx.doi.org/10.3390/e25071038 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Matthé, Maximilian
Chorti, Arsenia
Analysis of the Mutual Information of Channel Phase Observations in Line-of-Sight Scenarios
title Analysis of the Mutual Information of Channel Phase Observations in Line-of-Sight Scenarios
title_full Analysis of the Mutual Information of Channel Phase Observations in Line-of-Sight Scenarios
title_fullStr Analysis of the Mutual Information of Channel Phase Observations in Line-of-Sight Scenarios
title_full_unstemmed Analysis of the Mutual Information of Channel Phase Observations in Line-of-Sight Scenarios
title_short Analysis of the Mutual Information of Channel Phase Observations in Line-of-Sight Scenarios
title_sort analysis of the mutual information of channel phase observations in line-of-sight scenarios
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378292/
https://www.ncbi.nlm.nih.gov/pubmed/37509985
http://dx.doi.org/10.3390/e25071038
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