2020
DOI: 10.1155/2020/5817508
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Human Body Model for Channel Characterization Based on Ray-Tracing

Abstract: The propagation channel around human body will fluctuate due to the body effects, so it is essential to investigate the body channel. As an important method of channel modeling, ray-tracing (RT) is affected by the human body model. In this paper, a realistic human body is modeled with the idea of greedy algorithm. Based on the RT simulation and measurement results of path loss (PL), we derive the approximate shapes of the torso, head, arms, and legs, and propose a reference human body model whose credibility a… Show more

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Cited by 2 publications
(2 citation statements)
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“…Previously, a human body model with low complexity is employed to evaluate its influence on channel characterization in blockage situations with the help of ray-tracing simulations. The human is predominantly portrayed as a cylinder shaped model with additional spheres or prisms representing body parts like heads, arms and legs thus enhancing it to resemble the real shape of humans [127], [128], as can be seen in Fig. 7.…”
Section: B Ray-tracing: Sub-ghz To Low-thz Bandmentioning
confidence: 99%
“…Previously, a human body model with low complexity is employed to evaluate its influence on channel characterization in blockage situations with the help of ray-tracing simulations. The human is predominantly portrayed as a cylinder shaped model with additional spheres or prisms representing body parts like heads, arms and legs thus enhancing it to resemble the real shape of humans [127], [128], as can be seen in Fig. 7.…”
Section: B Ray-tracing: Sub-ghz To Low-thz Bandmentioning
confidence: 99%
“…The [4] simulates the path loss parameters of human surface wireless channel at 60 GHz for both standing and crawling postures. In [5], the human head, torso and legs are modeled as prisms, the arms are modeled as cylinders, and the shadow effect of human body at 2.4 GHz and 60 GHz is characterized by RT simulation. However, most of the studies focuse on the additional loss caused by human shadows, the impact of human movements on the wireless channel is rarely been described.…”
Section: Introductionmentioning
confidence: 99%