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 and accuracy have been verified at 2.4 GHz and 60 GHz. These results prove that the simulation results based on the reference human body model are in good agreement with the measurement values. In addition, the reference human body model can be adjusted according to the realistic dimension data of body.
Highlights
More and more wireless communication systems are involving radiowave propagation around human body
The wireless body area network (WBAN) is promising and widely applied in healthcare, military, sport, and real-time media entertainment. e problem of body shadowing is prevalent for off-body or body-tobody channels, which significantly affects the received signal strength and makes the communication unreliable, especially at high frequencies, e.g., millimeter wave [1, 2]
In this paper, considering that the existing human body modeling is almost based on intuition, we propose human body modeling as a NP-hard problem, and give a novel modeling method based on the idea of greedy algorithm, which realizes the overall optimization of the human body model by local optimization of each limb shape. is work will achieve a better tradeoff of model accuracy and simulation complexity by comparing the RT simulation results with the measurement results
Summary
More and more wireless communication systems are involving radiowave propagation around human body. It is necessary to characterize the propagation channels around the human body to make the wireless communication system valuable in actual applications. Based on the uniform theory of diffraction (UTD) [7, 8], full three-dimensional (3D) implementation of geometric optics (GO), and massive computation, ray-tracing (RT) can predict all possible propagation paths of the signal when the scenario conditions are known, which is more efficient than channel measurements for human body effects. International Journal of Antennas and Propagation study was presented including human measurement results and analytical channel simulations based on the RT method [10].
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