2023
DOI: 10.1109/jsyst.2022.3179183
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LiFi-Based D2D Communication in Industrial IoT

Abstract: This paper analyses the performance of LiFi-based device-to-device (D2D) communication in industrial internetof-things (IIoT). We present a comprehensive analysis of mobility management of D2D communication in industrial LiFi networks. Using the semiangle at half illuminance of the AP and D2D transmitting IIoT, a coverage model for the D2D communication range is derived. By adopting stochastic geometry, closed-form expressions for mode selection rate and residence time are derived as functions of the AP densit… Show more

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Cited by 16 publications
(7 citation statements)
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References 34 publications
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“…t−1 is the indirect SNR gain for link n when mirror m is assigned to link l. For link j, we calculate ∆F (−m,j,j) t by replacing ∆γ (+m,l,l) t with ∆γ (−m,j,j) t and γ (24), where ∆γ…”
Section: ∆Fmentioning
confidence: 99%
See 1 more Smart Citation
“…t−1 is the indirect SNR gain for link n when mirror m is assigned to link l. For link j, we calculate ∆F (−m,j,j) t by replacing ∆γ (+m,l,l) t with ∆γ (−m,j,j) t and γ (24), where ∆γ…”
Section: ∆Fmentioning
confidence: 99%
“…In [22], the authors consider the problem of optimizing the selection of RF or VLC bands for D2D. The authors in [23] and [24] develop an all light fidelity (LiFi) downlink and D2D system for industrial scenarios. The use of an all VLC downlink and D2D system poses problems for scenarios with humans present, as the D2D light-emitting diode (LED) emissions may cause stress to human eyes.…”
mentioning
confidence: 99%
“…Let p m ∈ R 3 and v m ∈ R 3 be the known location and orientation vector, respectively, of the mth LED transmitter, with 3 and ϑ R ∈ R 3 be the UD's location and axis-angle vector, respectively, which are unknown, and x R is just the PD array centroid.…”
Section: A System Setupmentioning
confidence: 99%
“…Hence, it can be applied to many indoor scenarios, such as airports, train stations, factories, warehousing and other indoor spaces [3]. However, its potential for wireless localization is not fully exploited.…”
Section: Introductionmentioning
confidence: 99%
“…The optical wireless-based LiFi channel includes two main parts which are line-of-sight (LOS) and non-line-ofsight (NLOS). In this work, only LOS is considered for LiFi network and the effect of NLOS from the walls and human shadowing are ignored because reflected signals are very week and only account for less than 3% of the total received power [15], [19]. Under these assumptions, the LOS channel gain {H u,j } j={1,...,K} in tier j for user u is given by [2]:…”
Section: B Lifi Channel Modelmentioning
confidence: 99%