Simulation and Measurement of Dynamic On-Body Communication Channels

Gallo, M.; Hall, Peter; Bai, Qiang; Nechayev, Y.I.; Constantinou, Costas; Bozzetti, M.

doi:10.1109/tap.2010.2093498

Cited by 49 publications

(20 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Gallo et al 11 explore the channel characteristics of male and female models in the walking state and the process from sitting to standing, and compare the simulation results with the actual measurement to analyze the average path gain and standard deviation, but the human model is a homogenous medium which do not conform to the actual situation of different organs with different conductivity and dielectric constants. In this paper, we design three 3D human body motion models and each organ has its own conductivity and dielectric constants.…”

Section: Introductionmentioning

confidence: 99%

Specific Absorption Rate Calculation and Motion Channel Models of Body Area Networks

Pang¹,

Li²,

Lin³

et al. 2016

j comput theor nanosci

View full text Add to dashboard Cite

Body area networks (BANs) play an important role for telemedicine and telehealth services, so cause wide attractiveness. The human body unavoidably absorbs the electromagnetic wave which may be harmful since the wireless sensor nodes adhere to the human body surface. Besides, exploration of channel characteristics is of significance to design the physical layer. In this paper, a human tissue model is proposed to calculate the specific absorption rate (SAR) value in different frequency bands, and then a whole body model is designed. In order to investigate the channel characteristics, we establish human motion models of sitting-to-standing, walking and running postures, and calculate the path loss values in 2.4 GHz for the models. The experimental results show that the path loss values vary sharply in the process of human motions.

show abstract

Section: Introductionmentioning

confidence: 99%

Specific Absorption Rate Calculation and Motion Channel Models of Body Area Networks

Pang¹,

Li²,

Lin³

et al. 2016

j comput theor nanosci

View full text Add to dashboard Cite

show abstract

“…In a pioneering work [2] Finite-Difference Time-Domain (FDTD) was used with a walking man phantom at 2.45 GHz. A further study [3] presented results for a walking male and female and for a male rising from a chair. Importantly, by comparing the simulation and measurement results it was concluded that on-body BAN simulation by using a homogeneous phantom is useful for extraction of channel statistics such as mean path gain and its standard deviation (STD).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Dynamic On-Body Communication Channels for Various Movements and Polarization Schemes at 2.45 GHz

Uusitupa

Aoyagi

2013

IEEE Trans. Antennas Propagat.

View full text Add to dashboard Cite

On-body wireless communication channels are studied by using the Finite-Difference Time-Domain (FDTD) method and moving human models. An anechoic environment is assumed. Three movements having a different dynamical characteristic each, walking, weakly walking and running, are considered. Essentially, the results are obtained for 9 different polarization schemes regarding the dipole transmitter and receiver orientations and for six receiver locations. The results include the reception level curves, mean levels and standard deviation of reception (STD); dynamic path gain (PG) of a specific antenna can be obtained, too, by e.g. using the presented "offset method". The results, best applicable for electrically small dipole-like antennas, can be utilized in link budget calculations, channel model development and usability evaluations of different polarization schemes with different on-body links. The effect of the polarization scheme on the mean level is much understood by the theory of radiowave propagation over a lossy ground. Based on this theory, a rough method to estimate the mean reception level (and PG) is introduced and found usable for small dipole antennas under suitable conditions. Finally, reception changes due to uncertain receiver location are studied. A body-normally polarized small dipole receiver is less sensitive to its location than a body-tangential one.

show abstract

“…The authors in [10] concluded that homogeneous models fulfil the BANs communications requirements, with the great advantage of allowing the reproduction of motion in CST MWS. The authors in [11] and [12] were pioneers on the study of the dynamic onbody communication channel via simulations combined with motion capture body models. Their works are confined to very simple body shapes, and mainly to the analysis of path gain for selected on-body channels.…”

Section: Introductionmentioning

confidence: 99%

Signal Correlation and Power Imbalance in Dynamic On-Body Communications

Oliveira

Correia

2013

2013 IEEE 77th Vehicular Technology Conference (VTC Spring)

View full text Add to dashboard Cite

Body Area Networks (BANs) are part of the incoming future in wireless communications. The propagation channel between on-body antennas, at 2.45 GHz, in dynamic scenarios (walk and run) is analysed via full wave simulations. The user movement is generated by animation software, using a realistic shaped homogeneous phantom. The correlations between channels and their power distributions are investigated when the user is moving. Transmitter locations on the sides (for instance, on the arms), combined with receivers at similar distances, in non-or quasi-Line-of-Sight conditions, were found to be the most favourable for MIMO.

show abstract

Simulation and Measurement of Dynamic On-Body Communication Channels

Cited by 49 publications

References 12 publications

Specific Absorption Rate Calculation and Motion Channel Models of Body Area Networks

Specific Absorption Rate Calculation and Motion Channel Models of Body Area Networks

Analysis of Dynamic On-Body Communication Channels for Various Movements and Polarization Schemes at 2.45 GHz

Signal Correlation and Power Imbalance in Dynamic On-Body Communications

Contact Info

Product

Resources

About