Measurement-based on-body path loss modelling for UWB WBAN communications

Kumpuniemi, Timo; Tuovinen, Tommi; Hämäläinen, Matti; Yazdandoost, Kamya Yekeh; Vuohtoniemi, Risto; Iinatti, Jari

doi:10.1109/ismict.2013.6521735

Cited by 39 publications

(47 citation statements)

References 13 publications

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“…The categorized path loss models and statistical model for the channel impulse response (CIR) amplitudes and delay spread are presented for each category. The work extends the results of a more thorough WBAN measurement and analysis initiative, whose previous results are reported, e.g., in [18,19,23,26].…”

Section: Introductionsupporting

confidence: 76%

“…Both forward and reverse channels were recorded resulting 12 channels for a single four-antenna instalment. Further information of the measurement setup is in [18].…”

Section: Measurement Setupmentioning

confidence: 99%

“…The antenna dimension together with the propagation velocity less than the speed of light have the effect that the links appear to be longer than in reality. In [18] this phenomenon was noticed to cause errors in path loss models in short link distances such as WBAN links. The antennas in [18] were the same as in this paper, and therefore the noted average distance error (90 mm for the dipole, 109 mm for the double loop) are corrected from the CIRs before data analysis.…”

Section: Data Post-processingmentioning

confidence: 99%

“…In [18,19], the identical data as in this article was used to produce generic channel models for these two antennas. In this paper, the work is extended by categorizing the on-body links based on the location of the antennas on a limb, the torso, or the head.…”

Section: Link Categorizationmentioning

confidence: 99%

“…For instance, in [7,[13][14][15] research related to UWB onbody radio channels are reported. In [7,12,[16][17][18][19], the effect of different antennas or polarizations on the UWB links are investigated. References [20,21] contain examination of body shapes and postures on the UWB on-body communications and in [22] the energy absorption of the UWB signal by the human body is found out.…”

Section: Introductionmentioning

confidence: 99%

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Categorized Uwb on-Body Radio Channel Modeling for Wbans

Kumpuniemi¹,

Hämäläinen²,

Yazdandoost³

et al. 2016

PIER B

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Abstract-A categorized radio channel modeling for wireless ultra-wideband on-body body area networks is discussed. Measurements in an anechoic chamber at fourteen antenna locations are conducted in a 2-8 GHz band. The dipole and double loop antenna types are used. Six link classes are formed based on the antenna spots on the torso, head or limb. The limb-limb and the head-limb links have the lowest and highest path losses, respectively. The head-limb links have the shortest channel impulse responses (CIRs) and limb-limb links the longest ones. The CIR amplitudes follow the inverse Gaussian distribution. The tap indexes and the total excess delays are modeled with the negative binomial distribution. In most cases, the CIRs decay faster for the dipole. Otherwise no major differences exist between the antennas.

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Section: Introductionsupporting

confidence: 76%

“…Both forward and reverse channels were recorded resulting 12 channels for a single four-antenna instalment. Further information of the measurement setup is in [18].…”

Section: Measurement Setupmentioning

confidence: 99%

Section: Data Post-processingmentioning

confidence: 99%

Section: Link Categorizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Categorized Uwb on-Body Radio Channel Modeling for Wbans

Kumpuniemi¹,

Hämäläinen²,

Yazdandoost³

et al. 2016

PIER B

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A review of radio channel models for body centric communications

2014

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The human body is an extremely challenging environment for the operation of wireless communications systems, not least because of the complex antenna-body electromagnetic interaction effects which can occur. This is further compounded by the impact of movement and the propagation characteristics of the local environment which all have an effect upon body centric communications channels. As the successful design of body area networks (BANs) and other types of body centric system is inextricably linked to a thorough understanding of these factors, the aim of this paper is to conduct a survey of the current state of the art in relation to propagation and channel models primarily for BANs but also considering other types of body centric communications. We initially discuss some of the standardization efforts performed by the Institute of Electrical and Electronics Engineers 802.15.6 task group before focusing on the two most popular types of technologies currently being considered for BANs, namely narrowband and Ultrawideband (UWB) communications. For narrowband communications the applicability of a generic path loss model is contended, before presenting some of the scenario specific models which have proven successful. The impacts of human body shadowing and small-scale fading are also presented alongside some of the most recent research into the Doppler and time dependencies of BANs. For UWB BAN communications, we again consider the path loss as well as empirical tap delay line models developed from a number of extensive channel measurement campaigns conducted by research institutions around the world. Ongoing efforts within collaborative projects such as Committee on Science and Technology Action IC1004 are also described. Finally, recent years have also seen significant developments in other areas of body centric communications such as off-body and body-to-body communications. We highlight some of the newest relevant research in these areas as well as discussing some of the advanced topics which are currently being addressed in the field of body centric communications.

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Human Body Effect on Static UWB WBAN Off-Body Radio Channels

Kumpuniemi

Mäkelä

Hämäläinen

et al. 2020

13th EAI International Conference on Body Area Networks

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This paper presents the effect of a human body on ultra wideband offbody wireless body area network radio channels. The work is based on static measurements in an anechoic chamber by using a vector network analyzer in a 2-8 GHz frequency band. Thirteen antenna locations on a human body are used while the off-body node is attached to a pole at a distance one and two meters from the test subject. Two planar prototype antennas are applied: dipole and double loop. The data analysis is carried out in time domain by observing the first arriving signal components of the channel impulse responses. The classical path loss model fitting results path loss exponents of 1.7 and 1.4 for the dipole and double loop, respectively. The classical path loss model is not found to be suitable in all cases in wireless body area networks as the path loss exponent varies greatly depending on the antenna site under examination. The absolute path losses reach values between 50.6…66.5 dB (dipole) and 49.9…68.2 dB (double loop) depending on the antenna location. In most of the cases the double loop performs better than the dipole. When averaged over all antenna sites the mean path losses lie in the range of 57.6…61.3 dB and their standard deviation approx. 4…5 dB depending on the distance and antenna focus.

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Measurement-based on-body path loss modelling for UWB WBAN communications

Cited by 39 publications

References 13 publications

Categorized Uwb on-Body Radio Channel Modeling for Wbans

Categorized Uwb on-Body Radio Channel Modeling for Wbans

A review of radio channel models for body centric communications

Human Body Effect on Static UWB WBAN Off-Body Radio Channels

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