2018 IEEE 87th Vehicular Technology Conference (VTC Spring) 2018
DOI: 10.1109/vtcspring.2018.8417738
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Effect of Fog and Rain on the Performance of Vehicular Visible Light Communications

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Cited by 80 publications
(64 citation statements)
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“…Each scenario was specially designed to represent the most pressing problems in VLC. Variable natural conditions and their compensation are a topic for multiple teams and their research [6,9,37,105]. As fog is the most concerning problem, several teams tried to compensate its impact [47,106,107].…”
Section: Future Research and Discussionmentioning
confidence: 99%
“…Each scenario was specially designed to represent the most pressing problems in VLC. Variable natural conditions and their compensation are a topic for multiple teams and their research [6,9,37,105]. As fog is the most concerning problem, several teams tried to compensate its impact [47,106,107].…”
Section: Future Research and Discussionmentioning
confidence: 99%
“…This is attributed to the simplicity of the adopted model and also to the lack of proper channel models for the mobility and orientation of VLC devices in indoor scenarios. Nevertheless, several measurement-based channel models for VLC system were derived recently for various environments, such as indoor VLC systems [131]- [137], VLC-based vehicular communication [138] and underwater VLC systems [139], [140].…”
Section: Incorporating Realistic and Measurements Based Vlc Channementioning
confidence: 99%
“…The link BER performance was investigated for the clean and dirty headlamps in a wet and dry road surface. In [25], Elamassie et al carried out a comprehensive channel modeling study to quantify the effect of rain and fog on a V2V link with a high-beam headlamp acting as the transmitter. Taking advantage of advanced ray tracing features, they developed a path loss model for V2V link as a function of distance under different weather conditions.…”
Section: Channel Modelingmentioning
confidence: 99%
“…As hypothetical case, we first consider Lambertian channel model. Then, we adopt raytracing approach [25] to propose more realistic channel model taking into account several practical constrains such as the asymmetrical pattern of headlamp and street lights, reflections from road surfaces and weather conditions.…”
Section: Channel Modelingmentioning
confidence: 99%