R-VLCP: Channel Modeling and Simulation in Retroreflective Visible Light Communication and Positioning Systems
Document Type
Article
Publication Date
7-1-2023
Abstract
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.
Identifier
85149418615 (Scopus)
Publication Title
IEEE Internet of Things Journal
External Full Text Location
https://doi.org/10.1109/JIOT.2023.3245096
e-ISSN
23274662
First Page
11429
Last Page
11439
Issue
13
Volume
10
Grant
OIA-1757207
Fund Ref
National Science Foundation
Recommended Citation
Shao, Sihua; Salustri, Adrian; Khreishah, Abdallah; Xu, Chenren; and Ma, Shuai, "R-VLCP: Channel Modeling and Simulation in Retroreflective Visible Light Communication and Positioning Systems" (2023). Faculty Publications. 1613.
https://digitalcommons.njit.edu/fac_pubs/1613