Underground Channel Model for Visible Light Wireless Communication Based on Neural Networks

Riurean, Simona; Stoicuța, Olimpiu; Leba, Monica; Rocha, Álvaro

doi:10.1007/978-3-030-45691-7_27

Cited by 8 publications

(8 citation statements)

References 11 publications

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“…In this subsection we present the most relevant and recent works reported in the literature that describe VLC channel models applied to underground mining environments [13], [21]- [25].…”

Section: B Work Related To Underground Mining Vlc Channel Modelsmentioning

confidence: 99%

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A VLC Channel Model for Underground Mining Environments With Scattering and Shadowing

et al. 2020

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Underground mining is an industry that preserves the miners' safety and efficiency in their work using wireless communication systems as a tool. In addition to communication links characterized by radio frequency signals, optical links in the visible light spectrum are under intense research for underground mining applications due to their high transmission rates and immunity to electromagnetic interference. However, the design of a robust visible-light communication (VLC) system for underground mining is a challenging task due to the harsh propagation conditions encountered in mining tunnels. To assist researchers in the design of such VLC systems, we present in this paper a novel channel model that incorporates important factors that influence the quality of the VLC link in underground mines. Features such as an arbitrary positioning and orientation of the optical transmitter and receiver, tunnels with irregular walls, shadowing by large machinery, and scattering by dust clouds are considered. These factors are integrated into a single modeling framework that lends itself for the derivation of compact mathematical expressions for the overall DC gain, the impulse response, the root mean square delay spread, and the received power of the proposed VLC channel model. Our analytical results are validated by computer simulations. These results show that the rotation and tilt of the transmitter and receiver, as well as the tunnels' irregular walls have a notorious influence on the magnitude and temporal dispersion of the VLC channel's line of sight (LoS) and non-LoS components. Furthermore, results show that shadowing reduces the LoS component's magnitude significantly. Our findings also show that scattering by dust particles contributes slightly to the total VLC channel gain, although it generates a large temporal dispersion of the received optical signal. INDEX TERMS Channel impulse response, channel modeling, scattering, shadowing, underground mining, visible light communication.

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“…In this subsection we present the most relevant and recent works reported in the literature that describe VLC channel models applied to underground mining environments [13], [21]- [25].…”

Section: B Work Related To Underground Mining Vlc Channel Modelsmentioning

confidence: 99%

“…Finally, in [25], a neural network based approach is applied to derive an underground mine VLC channel model. The proposed channel model is based on nonlinear autoregressive exogenous parameters (NARX).…”

Section: B Work Related To Underground Mining Vlc Channel Modelsmentioning

confidence: 99%

A VLC Channel Model for Underground Mining Environments With Scattering and Shadowing

et al. 2020

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“…A path loss model is discussed in [28] by considering the area of mining roadway and workface to distinguish its characterization based on the Lambertian model along with the effect of LOS and NLOS scenarios. A neural network-based optical channel is suggested in [29] and the analysis is conducted in the dark gallery by employing the auto-regressive exogenous approach. However, the scattering effect and non-uniform internal structure are not sufficiently explained.…”

Section: Related Workmentioning

confidence: 99%

Characteristic Study of Visible Light Communication and Influence of Coal Dust Particles in Underground Coal Mines

et al. 2021

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The critical environment of the underground mines is a risky zone for mining applications and it is very hazardous to engage the miners without a sophisticated communication system. The existing wired networks are susceptible to damage and the wireless radio systems experience severe fading that restricts the complete access to the entire assembly of a mine. Wireless optical communication is a better approach that can be incorporated in the erratic atmosphere of underground mines to overcome such issues, as lights are already used to illuminate the mine galleries. This study is focused on investigating the characteristics of visible light communication (VLC) in an underground coal mine. The entire scope of VLC is elaborated along with the influence of coal dust particles and the scattering model. The impact of coal dust clouds on visibility and attenuation is analyzed for visible light transmission. The shadowing effect generated by the pillars and mining machinery is estimated by employing the bimodal Gaussian distribution (BGD) approach in coal mines. The characteristic model of VLC for underground coal mines is presented by classifying the area of the mine into mine gallery and sub-galleries. The transmission links of VLC are categorized as the line of sight (LOS) link for direct propagation and the non-LOS (NLOS) link for reflected propagation. The scenarios of LOS and NLOS propagation are considered for each evaluating parameter. Furthermore, the performance of the proposed framework is examined by computing the received signal power, path loss, delay spread (DS), and signal to noise ratio (SNR).

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“…1) signal degradation due to the dust particles on the air and transceivers, Lambertian 2015 [388] 2018 [389] 2019 [390] 2020 [391] 2020…”

Section: A Owc-iogt Channel Modelingmentioning

confidence: 99%

“…In Table IX, we categorize the in-mine OWC channel modeling efforts in terms of counting in such factors. The impact of tilt/rotation is considered in [389], [391], the dust particle effects are studied in [387], [391], the light propagation though non-flat walls are modeled in [391], and shadowing/scattering are modeled in [387], [388], [390], [391]. Notice that all these factors are comprehensively modeled and analyzed only in [391].…”

Section: A Owc-iogt Channel Modelingmentioning

confidence: 99%

A Top-Down Survey on Optical Wireless Communications for the Internet of Things

Çelik¹,

Romdhane²,

Kaddoum³

et al. 2022

Preprint

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The Internet of Things (IoT) is a transformative technology marking the beginning of a new era where physical and digital worlds are integrated by connecting a plethora of uniquely identifiable smart objects. Although the Internet of terrestrial things (IoTT) has been at the center of our IoT perception, it has been recently extended to different environments, such as the Internet of underWater things (IoWT), the Internet of Biomedical things (IoBT), and Internet of underGround things (IoGT). Even though radio frequency (RF) based wireless networks are regarded as the default means of connectivity, they are not always the best option due to the limited spectrum, interference limitations caused by the ever-increasing number of devices, and severe propagation loss in transmission mediums other than air. As a remedy, optical wireless communication (OWC) technologies can complement, replace, or co-exist with audio and radio wave-based wireless systems to improve overall network performance. To this aim, this paper reveals the full potential of OWC-based IoT networks by providing a top-down survey of four main IoT domains: IoTT, IoBT, and IoGT. Each domain is covered by a dedicated and self-contained section that starts with a comparative analysis, explains how OWC can be hybridized with existing wireless technologies, points out potential OWC applications fitting best the related IoT domain, and discusses open communication and networking research problems. More importantly, instead of presenting a visionary OWC-IoT framework, the survey discloses that OWC-IoT has become a reality by emphasizing ongoing proof-of-concept prototyping efforts and available commercial off-the-shelf (COTS) OWC-IoT products.

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Underground Channel Model for Visible Light Wireless Communication Based on Neural Networks

Cited by 8 publications

References 11 publications

A VLC Channel Model for Underground Mining Environments With Scattering and Shadowing

A VLC Channel Model for Underground Mining Environments With Scattering and Shadowing

Characteristic Study of Visible Light Communication and Influence of Coal Dust Particles in Underground Coal Mines

A Top-Down Survey on Optical Wireless Communications for the Internet of Things

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