Human body impact on mobile visible light communication link

Clément Le Bas 1 Stéphanie Sahuguede 1 Anne Julien-Vergonjanne 1 Abdeslam Behlouli 2 Pierre Combeau 1 Lilian Aveneau 2
1 XLIM-SRI - Systèmes et Réseaux Intelligents
XLIM - XLIM : SRI
2 XLIM-ASALI - Synthèse et analyse d'images
XLIM - XLIM : ASALI
Abstract : Shadowing impact for indoor mobile visible light communications (VLC), is linked to the person wearing the optical receiver, depending on the body features and varying according the data rate. Here, we investigate VLC performance considering two body models with different reflectivity values. In addition, we consider a mobile receiver with random orientations to account body movements. Results show that for low data rates, a 2D body model with perpendicular receiver orientation allows suitable performance estimation. For high data rates, 2D body model can be used but link efficiency is deteriorated depending on receiver orientation variations whatever body reflectivity values are.
Keywords : Visible Light Communication Mobile indoor optics Channel characterizations Body model
Type de document :
Communication dans un congrès
10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP 2016), Jul 2016, Prague, Czech Republic. 2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), 〈10.1109/CSNDSP.2016.7573900〉
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https://hal-unilim.archives-ouvertes.fr/hal-01493236
Contributeur : Clément Le Bas <>
Soumis le : mardi 21 mars 2017 - 11:07:14
Dernière modification le : jeudi 11 janvier 2018 - 06:27:38
Document(s) archivé(s) le : jeudi 22 juin 2017 - 12:53:51

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Clément Le Bas, Stéphanie Sahuguede, Anne Julien-Vergonjanne, Abdeslam Behlouli, Pierre Combeau, et al.. Human body impact on mobile visible light communication link . 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP 2016), Jul 2016, Prague, Czech Republic. 2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), 〈10.1109/CSNDSP.2016.7573900〉. 〈hal-01493236〉

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