Measurement of human body blocking at 60 GHz for inter-network interference of mmWave WBAN

Akimoto, Kohei; Kameda, Suguru; Motoyoshi, Mizuki; Suematsu, Noriharu

doi:10.1109/apmc.2017.8251483

Cited by 10 publications

(10 citation statements)

References 3 publications

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“…The millimeter-wave (mmW) WBAN is effective for suppressing the inter-WBAN interference at user-dense conditions because of their large attenuation of free space loss and human body blocking [2,3,4,5]. We have already shown that mmW WBAN is effective for interference avoidance in crowded environments where users are randomly arranged [4,5].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of channel capacity of millimeter-wave wireless body area network in overcrowded train

et al. 2020

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Millimeter-wave (mmW) wireless body area network (WBAN) is effective in reducing inter-WBAN interference because of the large attenuation by human body blocking. In this paper, for evaluating the interference power and the channel capacity of mmW WBAN in consideration of the regularity of the arrangement of users, we proposed a user arrangement model which is assumed an actual overcrowded train. In the proposed model, the channel capacity was calculated in consideration of the user's shape, arrangement, and direction in the train. As a result of the computer simulation with the proposed model, it is concluded that the channel capacity of the overcrowded train environment with regularity in user arrangement varies more than that of a random environment.

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Section: Introductionmentioning

confidence: 99%

Evaluation of channel capacity of millimeter-wave wireless body area network in overcrowded train

et al. 2020

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“…The body shadowing effect has been the subject of extensive studies in recent years, due to the growing popularity of wireless systems designed to work in close proximity to people [1][2][3][4][5][6][7][8][9][10]. Different models have been developed, taking into account not only the effect of human body shadowing on time variation, but also other factors in the indoor environment which can influence the propagation of the signal [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…Different models have been developed, taking into account not only the effect of human body shadowing on time variation, but also other factors in the indoor environment which can influence the propagation of the signal [3][4][5]. A number of studies have applied the experimental approach to measure the path loss introduced by human bodies, for a wide range of frequencies and in a variety of geometrical scenarios [6][7][8]. The results have then been used to define the parameters of propagation models in a deterministic way [9,10].…”

Section: Introductionmentioning

confidence: 99%

Model for Ray-Based UTD Simulations of the Human Body Shadowing Effect in 5G Wireless Systems

Januszkiewicz

2018

International Journal of Antennas and Propagation

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Shadowing effects caused by the obstructing presence of a human body can result in increased path loss in indoor wireless systems. This paper proposes a simplified model of a human body for use in ray-tracing simulations of indoor wireless communication systems based on the uniform theory of diffraction (UTD). The human body shadowing effect was first investigated using measurements and computer simulations employing the finite-difference time-domain method (FDTD). Based on the results, a human body model was elaborated for use in ray-based Remcom XGtd software. The model was developed for the 3.6 GHz band, which has been allocated for 5G wireless systems in many countries.

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“…The body-shadowing effect has been investigated by researchers working on wireless systems as well as on body area networks in a very wide range of frequencies [ 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 ]. Statistical analysis is often used to model this effect, including the time variation caused by people in motion and the properties of the indoor environment, which can influence the propagation of the signal [ 13 , 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

“…Statistical analysis is often used to model this effect, including the time variation caused by people in motion and the properties of the indoor environment, which can influence the propagation of the signal [ 13 , 14 , 15 ]. Other research has applied the experimental approach, taking numerous measurements of path loss due to human bodies in typical propagation environments [ 16 , 17 , 18 ]. Based on the results, propagation models have then been constructed with specific parameters that can be modified for different operating scenarios [ 19 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Human Body Shadowing Effect on Wireless Sensor Networks Operating in the 2.4 GHz Band

Januszkiewicz

2018

Sensors

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Miniaturized wireless sensors are designed to run on limited power resources, requiring minimization of transmit power and lowering of the fade margin in the link budget. One factor that has an important impact on wireless sensor network design is path loss between the transmitter and the receiver. This paper presents an analysis of the influence of human bodies on path loss in the 2.4 GHz band, which is commonly used for wireless sensor networks. The effect of body shadowing was first analyzed in full wave computer simulations using the finite-difference time-domain method. Due to the high numerical burden, the simulations were limited to only a small region around the human body. To analyze the performance of networks in larger indoor environments, a human body model is proposed that can be used for simulations with a ray-based computer program. The proposed model of human body is the main contribution of this paper. It was used to analyze the body shadowing effect in a typical indoor environment. The results were found to be in good agreement with measurements.

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Measurement of human body blocking at 60 GHz for inter-network interference of mmWave WBAN

Cited by 10 publications

References 3 publications

Evaluation of channel capacity of millimeter-wave wireless body area network in overcrowded train

Evaluation of channel capacity of millimeter-wave wireless body area network in overcrowded train

Model for Ray-Based UTD Simulations of the Human Body Shadowing Effect in 5G Wireless Systems

Analysis of Human Body Shadowing Effect on Wireless Sensor Networks Operating in the 2.4 GHz Band

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