Characterizing fading in wearable communications channels using composite models

Simon Cotton; Seong Ki Yoo; Paschalis Sofotasios

doi:10.1109/acssc.2015.7421262

Characterizing fading in wearable communications channels using composite models

Simon Cotton, Seong Ki Yoo, Paschalis Sofotasios

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

1 Citation (Scopus)

41 Downloads (Pure)

Abstract

Characterizing and modeling the behavior of fading channels is critical for robust wireless systems design. This is especially the case for wireless devices designed to be positioned on the human body. So-called wearable communications are not only impacted by signal fluctuations caused by the propagation environment but also shadowed and envelope fading generated by the human body. In this paper we statistically characterize fading channels observed in wearable communications using a range of very general line of sight and multiplicative composite fading models such as K-μ / lognormal LOS and K-μ / gamma. In particular we investigate off-body wearable channels operating at 5.8 GHz for a series of experiments which are designed to be representative of everyday scenarios likely to be encountered by wearable device users. Using the Kullback-Leibler divergence, we then perform a quantitative analysis of the fits of these models to the measured composite fading data obtained for the wearable channels considered here.

Original language	English
Title of host publication	2015 49th Asilomar Conference on Signals, Systems and Computers
Publisher	IEEE
Pages	877-881
Number of pages	5
ISBN (Print)	9781467385763, 978146738575-6
DOIs	https://doi.org/10.1109/acssc.2015.7421262
Publication status	Published - Nov 2015
Externally published	Yes
Event	49th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, United States Duration: 8 Nov 2015 → 11 Nov 2015

Conference

Conference	49th Asilomar Conference on Signals, Systems and Computers
Country/Territory	United States
City	Pacific Grove
Period	8/11/15 → 11/11/15

Bibliographical note

© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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10.1109/acssc.2015.7421262

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Cite this

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title = "Characterizing fading in wearable communications channels using composite models",

abstract = "Characterizing and modeling the behavior of fading channels is critical for robust wireless systems design. This is especially the case for wireless devices designed to be positioned on the human body. So-called wearable communications are not only impacted by signal fluctuations caused by the propagation environment but also shadowed and envelope fading generated by the human body. In this paper we statistically characterize fading channels observed in wearable communications using a range of very general line of sight and multiplicative composite fading models such as K-μ / lognormal LOS and K-μ / gamma. In particular we investigate off-body wearable channels operating at 5.8 GHz for a series of experiments which are designed to be representative of everyday scenarios likely to be encountered by wearable device users. Using the Kullback-Leibler divergence, we then perform a quantitative analysis of the fits of these models to the measured composite fading data obtained for the wearable channels considered here.",

author = "Simon Cotton and Yoo, {Seong Ki} and Paschalis Sofotasios",

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doi = "10.1109/acssc.2015.7421262",

language = "English",

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N1 - © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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N2 - Characterizing and modeling the behavior of fading channels is critical for robust wireless systems design. This is especially the case for wireless devices designed to be positioned on the human body. So-called wearable communications are not only impacted by signal fluctuations caused by the propagation environment but also shadowed and envelope fading generated by the human body. In this paper we statistically characterize fading channels observed in wearable communications using a range of very general line of sight and multiplicative composite fading models such as K-μ / lognormal LOS and K-μ / gamma. In particular we investigate off-body wearable channels operating at 5.8 GHz for a series of experiments which are designed to be representative of everyday scenarios likely to be encountered by wearable device users. Using the Kullback-Leibler divergence, we then perform a quantitative analysis of the fits of these models to the measured composite fading data obtained for the wearable channels considered here.

AB - Characterizing and modeling the behavior of fading channels is critical for robust wireless systems design. This is especially the case for wireless devices designed to be positioned on the human body. So-called wearable communications are not only impacted by signal fluctuations caused by the propagation environment but also shadowed and envelope fading generated by the human body. In this paper we statistically characterize fading channels observed in wearable communications using a range of very general line of sight and multiplicative composite fading models such as K-μ / lognormal LOS and K-μ / gamma. In particular we investigate off-body wearable channels operating at 5.8 GHz for a series of experiments which are designed to be representative of everyday scenarios likely to be encountered by wearable device users. Using the Kullback-Leibler divergence, we then perform a quantitative analysis of the fits of these models to the measured composite fading data obtained for the wearable channels considered here.

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DO - 10.1109/acssc.2015.7421262

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SN - 978146738575-6

SP - 877

EP - 881

BT - 2015 49th Asilomar Conference on Signals, Systems and Computers

PB - IEEE

T2 - 49th Asilomar Conference on Signals, Systems and Computers

Y2 - 8 November 2015 through 11 November 2015

ER -

Characterizing fading in wearable communications channels using composite models

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