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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10378292 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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