Poster Abstract: Obstruction-Free Physiological Motion Sensing in NextG Networks with Intelligent Reflective Surfaces

D. Landika, Saige Dacuycuy, Yao Zheng
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Abstract

This poster abstract shows the possibilities of incorporating an Intelligent Reflective Surface (IRS) that operates at the 3.5 GHz band in order to enhance signal coverage and perform obstruction-free physiological motion sensing. At an operating frequency of 3.5 GHz, the IRS redirects an incoming signal at normal incidence to 34°. A testbed is developed that allows us to test the quality of periodic motion (i.e. simulate breathing). The transmit horn is pointed at a metallic target that is oscillating at 0.2 Hz, where the target scatters the transmitted signal. The scattered signal will reach the IRS, which then redirects the signal to the receive horn. The setup was tested for three possible cases, with an IRS, a copper plate, and an absorber as the target. The merits of implementing an IRS in physiological sensing are discussed and evaluated.
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摘要:具有智能反射表面的NextG网络中的无障碍物生理运动传感
这张海报摘要展示了整合在3.5 GHz频段工作的智能反射表面(IRS)的可能性,以增强信号覆盖范围并执行无障碍物生理运动传感。在3.5 GHz的工作频率下,IRS将正常入射的输入信号重定向到34°。开发了一个测试平台,允许我们测试周期性运动的质量(即模拟呼吸)。发射喇叭指向以0.2 Hz频率振荡的金属目标,目标将发射信号散射。散射信号将到达IRS, IRS然后将信号重定向到接收喇叭。该装置测试了三种可能的情况,以IRS,铜板和吸收器为目标。讨论和评价了在生理传感中实现IRS的优点。
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