An improved channel model for medical body area network device testing

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Toivanen, Timo Hailemichael, Fenot 2018-02-23T14:26:57Z 2018-02-23T14:26:57Z 2018-02-12
dc.description.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. en
dc.format.extent 62+20
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.title An improved channel model for medical body area network device testing en
dc.type G2 Pro gradu, diplomityö fi Sähkötekniikan korkeakoulu fi
dc.subject.keyword MBAN en
dc.subject.keyword channel modeling en
dc.subject.keyword rician fading en
dc.subject.keyword lognormal shadowing en
dc.subject.keyword channel sounding en
dc.subject.keyword indoor propagation en
dc.identifier.urn URN:NBN:fi:aalto-201802231605
dc.programme.major Radio Science and Engineering fi
dc.programme.mcode S3012 fi
dc.type.ontasot Master's thesis en
dc.type.ontasot Diplomityö fi
dc.contributor.supervisor Haneda, Katsuyuki
dc.programme NanoRad - Master’s Programme in Nano and Radio Sciences (TS2013) fi
dc.ethesisid Aalto 9814
dc.location P1 fi

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