R-VLCP: Channel Modeling and Simulation in Retroreflective Visible Light Communication and Positioning Systems
R-VLCP: Channel Modeling and Simulation in Retroreflective Visible Light Communication and Positioning Systems
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DOI：
10.1109/jiot.2023.3245096
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发表时间：
2023-07
影响因子：
10.6
通讯作者：
Sihua Shao;A. Salustri;Abdallah Khreishah;Chenren Xu;Shuai Ma
中科院分区：
文献类型：
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作者：
Sihua Shao;A. Salustri;Abdallah Khreishah;Chenren Xu;Shuai Ma
逆反射可见光通信和定位（R-VLCP）是一种利用室内照明基础设施的新型超低功耗物联网（IoT）技术。与传统的VLCP相比，R-VLCP提供了几个额外的有利特性，包括自对准，小尺寸，重量和功率（SWaP），免磨损和防嗅探。与RFID类似，R-VLCP采用微瓦光调制器（例如，LCD快门）来操纵从角隅棱镜后向反射器（CCR）到安装在光源上的光电二极管（PD）的反射光的强度。在我们以前的工作中，我们推导出一个封闭形式的表达式的回射信道模型，假设PD是远远小于几何分析中的CCR。在这篇文章中，我们推广的信道模型，以任意大小的PD和CCR。相对于PD和CCR的尺寸以及CCR的3-D位置，接收的光功率被充分表征。我们还开发了一个自定义和开源的光线跟踪模拟器RetroRay，并使用它来验证通道模型。基于RetroRay验证的信道模型，对区域频谱效率和水平定位误差进行了性能评估。结果表明，增加PD的大小和CCR的密度提高通信和定位性能的收益递减。
Retroreflective visible light communication and positioning (R-VLCP) is a novel ultralow-power Internet of Things (IoT) technology leveraging indoor light infrastructures. Compared to traditional VLCP, R-VLCP offers several additional favorable features, including self-alignment, low-size, weight, and power (SWaP), glaring-free, and sniff-proof. In analogy to RFID, R-VLCP employs a microwatt optical modulator (e.g., LCD shutter) to manipulate the intensity of the reflected light from a corner-cube retroreflector (CCR) to the photodiodes (PDs) mounted on a light source. In our previous works, we derived a closed-form expression for the retroreflection channel model, assuming that the PD is much smaller than the CCR in geometric analysis. In this article, we generalize the channel model to arbitrary size of PD and CCR. The received optical power is fully characterized relative to the sizes of PD and CCR, and the 3-D location of CCR. We also develop a custom and open-source ray tracing simulator—RetroRay, and use it to validate the channel model. Performance evaluation of area spectral efficiency and horizontal location error is carried out based on the channel model validated by RetroRay. The results reveal that increasing the size of PD and the density of CCRs improves communication and positioning performance with diminishing returns.