SNR Analyses of the Multi-Spectral Light Channels for Optical Wireless LED Communications in Intelligent Transportation System

Lee, Ji‐Hwan; Jung, Sung-Yoon

doi:10.1109/vtcspring.2014.7023099

Cited by 13 publications

(5 citation statements)

References 9 publications

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“…In [32][33][34], Fair Power Allocation (FPA) scheme can enhance the fairness of Non-Orthogonal Multiple Access (NOMA) in VLC-based IoT networks for the intravehicular communication system. Moreover, [35][36][37][38][39][40][41][42] the I2 V communication systems were popular in traffic lights, street lights, headlights, and taillight. The transmitter used the array of White LEDs (WLEDs), and the receiver was the PD installed on the vehicle's front hood in [36,39,40].…”

Section: Visible Light Communication For Intelligent Transportation S...mentioning

confidence: 99%

“…The transmitter used the array of White LEDs (WLEDs), and the receiver was the PD installed on the vehicle's front hood in [36,39,40]. In contrast, others [38,41,42] placed the receiver on the top of the car, which is better for PD to receive the light. Also, in recent years there has been so much research [43][44][45][46].…”

Section: Visible Light Communication For Intelligent Transportation S...mentioning

confidence: 99%

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Characteristic of Line-of-Sight in Infrastructure-to-Vehicle Visible Light Communication Using MIMO Technique

Kaewpukdee¹,

Uthansakul²

2023

Computers, Materials &Amp; Continua

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Visible Light Communication (VLC) technology is aggressive research for the next generation of communication. Currently, Radio Frequency (RF) communication has crowed spectrum. An Intelligent Transportation System (ITS) has been improved in the communication network for Vehicle-to-Vehicle (V2 V), Vehicle-to-Infrastructure (V2I), and Infrastructure-to-Vehicle (I2 V) by using the visible light spectrum instead of the RF spectrum. This article studies the characterization of Line-of-Sight (LOS) optical performance in an Outdoor Wireless Visible Light Communication (OWVLC) system employing a Multiple-Input Multiple-Output (MIMO) technique for I2 V communications in ITS regulations. We design the new configuration of the OWVLC-I2 V system, which is an alternative approach to communication for I2 V system at nighttime. The results show the Channel Impulse Response (CIR) of the LOS links in visible light communication for I2 V system in ITS by investigating the receiver on the vehicle moving along the coverage communication area. Furthermore, the OWVLC-I2 V system using the MIMO technique depicts the performance of throughput and Bit Error Rate (BER) vs. vehicle speed while the vehicle passes a street light.

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Section: Visible Light Communication For Intelligent Transportation S...mentioning

confidence: 99%

Section: Visible Light Communication For Intelligent Transportation S...mentioning

confidence: 99%

Characteristic of Line-of-Sight in Infrastructure-to-Vehicle Visible Light Communication Using MIMO Technique

Kaewpukdee¹,

Uthansakul²

2023

Computers, Materials &Amp; Continua

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“…As seen from Table 2, most of the I2V works [32]- [38] assume a single PD. Some of these [32], [35], [36] assume PD location at the front hood of the vehicle which is typically favorable for reception from traffic light while some [34], [37], [38] consider the top of the vehicle which is more suitable for reception from street lights. Such a single PD use can be justified in a single lane road with clear line-of-sight between the vehicle and the road side infrastructure.…”

Section: Commercialmentioning

confidence: 99%

Visible Light Communication for Connected Vehicles: How to Achieve the Omnidirectional Coverage?

2021

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Visible light communication (VLC) is based on the idea of modulating the light intensity of LEDs to transmit information and enables the dual use of exterior automotive and road side infrastructure lighting for both illumination and communication purposes. To position VLC as a strong candidate for vehicular connectivity, it is essential to realize multi-directional reception in various deployment scenarios supporting both vehicle-to-vehicle (V2V) and infrastructure-to-vehicle (I2V) links. In this paper, we investigate the performance of a vehicular VLC system in different road types (i.e., multi-lane, curved roads), intersections (i.e., T-shaped, Y-shaped intersections) and traffic scenarios (i.e., cruising in the same or different lanes, lane change etc.). We conduct a channel modeling study based on non-sequential ray tracing to quantify the capability of receiving signals in different cases. Our results reveal that deployment of nine photodetectors with carefully determined locations on the vehicle is enough to create the required quasiomni-directional coverage for both V2V connectivity (in front and back directions) and I2V connectivity. INDEX TERMSVehicular visible light communications; Connected vehicle; Omni-directional coverage; Multi-lane road; Curved road; Intersections; Receiver model.

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“…Nevertheless, the use of VLC for communication purposes in tunnel environments has not been deeply studied nor implemented yet. A preliminary study of I2V channels [23] for tunnels [24] are proposed, the authors introduce a Monte Carlo ray-tracing simulation to analyze the impulse response of a vehicular VLC system proposed to be installed into a tunnel. The effect of road reflectance is considered but a fixed reflectance value is assumed for simplicity.…”

Section: Introductionmentioning

confidence: 99%

Vehicle-to-Vehicle VLC Based on PSD Sensor: System Modeling and Effects of Multipath in Unfavorable Situations

Raissouni,

De-La-Llana-Calvo,

Lázaro-Galilea

et al. 2024

IEEE Sensors J.

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Vehicular communication based visible light presents an excellent solution to ensure road safety and transportation efficiency in critical environments like tunnels, underground garages, or covered parking lots where traditionally RF solutions cannot provide an efficient communication. In this paper, we propose a new multipath channel model for V2V-VLC in unfavorable situations like in tunnels by using a PSD sensor. The performance of the derived channel model is evaluated using statistical measures based on numerical simulations in terms of channel impulse response, channel DC gain and RMS delay spread to quantify the effects of multipath propagation. Monte Carlo simulation is also used to explore the statistical model obtained for different transmission scenarios. Additionally, we evaluate the influence of various model parameters, such as road width and inter-vehicular distance, on the performance of the V2V channel. The main results are compared with typical Lambertian reflector model to confirm the validity of the proposed model.

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SNR Analyses of the Multi-Spectral Light Channels for Optical Wireless LED Communications in Intelligent Transportation System

Cited by 13 publications

References 9 publications

Characteristic of Line-of-Sight in Infrastructure-to-Vehicle Visible Light Communication Using MIMO Technique

Characteristic of Line-of-Sight in Infrastructure-to-Vehicle Visible Light Communication Using MIMO Technique

Visible Light Communication for Connected Vehicles: How to Achieve the Omnidirectional Coverage?

Vehicle-to-Vehicle VLC Based on PSD Sensor: System Modeling and Effects of Multipath in Unfavorable Situations

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