An improved channel model for medical body area network device testing

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master_Hailemichael_Fenot_2018.pdf (3.41 MB)

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Sähkötekniikan korkeakoulu | Master's thesis
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Date

2018-02-12

Department

Major/Subject

Radio Science and Engineering

Mcode

S3012

Degree programme

NanoRad - Master’s Programme in Nano and Radio Sciences (TS2013)

Language

en

Pages

62+20

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Abstract

For testing and validation of medical body area network devices the knowledge of the wireless channel is very crucial. Although this could be implemented by utilizing existing BAN channel models, their restriction to specific device usage scenarios and environments make them less appropriate. For this purpose, this thesis presents a methodology for an MBAN device testing by developing an improved channel model, which accounts for a room size and use case variability. The improved channel model is based on channel sounding, over the frequency band from 2.3 GHz to 2.5 GHz, performed for five different use cases defined based on body posture, movement, and orientation. In order to study the room size effect, the measurements have been carried out in three different office rooms and an anechoic chamber. The proposed channel model is composed of three components, which are modeled separately: the mean path loss, body shadowing, and multipath fading. The mean path loss is modeled as a distance log function, while the body shadowing is modeled statistically by a lognormal distribution, and the multipath fading by a Rician distribution. The impact of room size is mainly notified in the Rician K-factor value; whereas the effect of movement is notified in the lognormal parameter. Furthermore, the effect of body orientation and posture is represented in the path loss model parameters.

Description

Supervisor

Haneda, Katsuyuki

Thesis advisor

Toivanen, Timo

Keywords

MBAN, channel modeling, rician fading, lognormal shadowing, channel sounding, indoor propagation

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https://urn.fi/URN:NBN:fi:aalto-201802231605

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[dipl] Sähkötekniikan korkeakoulu / ELEC