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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Main Authors: Maximilian Matthé, Arsenia Chorti
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/25/7/1038
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author Maximilian Matthé
Arsenia Chorti
author_facet Maximilian Matthé
Arsenia Chorti
author_sort Maximilian Matthé
collection DOAJ
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 doaj.art-c1a24a27700a41199021814b13b815592023-11-18T19:13:50ZengMDPI AGEntropy1099-43002023-07-01257103810.3390/e25071038Analysis of the Mutual Information of Channel Phase Observations in Line-of-Sight ScenariosMaximilian Matthé0Arsenia Chorti1Barkhausen Institut gGmbH, Würzburger Str. 46, 01187 Dresden, GermanyBarkhausen Institut gGmbH, Würzburger Str. 46, 01187 Dresden, GermanyThe 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.https://www.mdpi.com/1099-4300/25/7/1038physical layer securitysecret key generationdirectional statisticsvon-Mises distribution
spellingShingle Maximilian Matthé
Arsenia Chorti
Analysis of the Mutual Information of Channel Phase Observations in Line-of-Sight Scenarios
Entropy
physical layer security
secret key generation
directional statistics
von-Mises distribution
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 physical layer security
secret key generation
directional statistics
von-Mises distribution
url https://www.mdpi.com/1099-4300/25/7/1038
work_keys_str_mv AT maximilianmatthe analysisofthemutualinformationofchannelphaseobservationsinlineofsightscenarios
AT arseniachorti analysisofthemutualinformationofchannelphaseobservationsinlineofsightscenarios