Motion Characterization for Vehicular Visible Light Communications

Ashraf, Khadija; Islam, Shafkat; Hosseini, Akram Sadat; Ashok, Ashwin

doi:10.1109/comsnets.2019.8711047

Cited by 8 publications

(4 citation statements)

References 14 publications

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“…Performing an alignment of this nature becomes a challenging task. It is possible to enlarge the field of view on the side of the receiver by placing a lens in front of the receiver components, but to do so will compromise the work of the VLC system due to the increase in the amount of received noise, as the system must collect this noise, and preserve the field of view, and reduce the proportion of this noise spatially by using reception components inspired by the camera’s components [ 34 , 38 ].…”

Section: Vehicular Vlc Channel Modeling and Propagation Characteristicsmentioning

confidence: 99%

“…The movement of vehicles is characterized by a model representing the relative placement along all three spatial dimensions of two cars (the transmitter and the receiver). The following identifies the motion model as a vector [ 34 , 37 , 38 ]:

where δu represents the relative movement along the horizontal axis ( X ), δv represents the relative movement along the vertical axis ( Y ), δw denotes the relative motion within the length of the driving path ( Z ), and n indicates the value of the flag, which represents the type of vehicle behavior class. This section describes the motion model for specific time slots.…”

Section: Vehicular Vlc Channel Modeling and Propagation Characteristicsmentioning

confidence: 99%

“…Earlier results have focused on indoor channel modeling, which does not apply to vehicular VLC systems with inherently different characteristics. For example, earlier works assumed the ideal Lambertian model for vehicular light sources, which fails to match the illumination characteristics of automotive headlights, taillights, traffic lights, and streetlights with their asymmetrical intensity distributions [ 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 ]. The effects of road reflectance, road type, weather conditions, the orientation of the user/vehicle equipment and infrastructure, receiver aperture size, and sunlight might strongly affect the link performance of vehicular VLC systems.…”

Section: Introductionmentioning

confidence: 99%

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A Survey of Vehicular VLC Methodologies

Al Hasnawi,

Marghescu

2024

Sensors

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Visible Light Communication (VLC) has recently emerged as an alternative to RF-based wireless communications. VLC for vehicles has demonstrated its potential for Intelligent Transportation Systems (ITSs) to exchange information between vehicles and infrastructure to achieve ITS core goals, such as improving road safety, passenger comfort, and traffic flow. This paper seeks to provide a detailed survey of vehicular VLC systems. This paper presents an overview of current developments in vehicular VLC systems and their benefits and limitations for experienced researchers and newcomers.

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Section: Vehicular Vlc Channel Modeling and Propagation Characteristicsmentioning

confidence: 99%

Section: Vehicular Vlc Channel Modeling and Propagation Characteristicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Survey of Vehicular VLC Methodologies

Al Hasnawi,

Marghescu

2024

Sensors

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“…In this section, we present the numerical results of the V2V-VLC system with the presence of an imaging receiver. We consider a two-lane road with a lane width of W = 4 m [42]. The road type R2 consisting of 60% gravel larger than 10 mm as defined in [43] is considered.…”

Section: B Simulation Parametersmentioning

confidence: 99%

Enhancement of Vehicular Visible Light Communication Using Spherical Detector and Custom Lens Combinations

et al. 2023

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Vehicular Visible light communication (VLC) technology has recently attracted much interest from researchers and scientists. This technology enables connectivity between vehicles and infrastructures along the road by using vehicles' headlights and taillights as wireless transmitters. The reliability of vehicleto-vehicle (V2V) VLC systems is affected by several factors, such as car mobility, optics system design, and visibility conditions, where the first two have the most impact on the VLC system performance. This paper, therefore, focuses on the relative positions of the cars and the design of the optics, especially on the receiving end, which has been proposed with the use of a polar detector instead of the rectangular detectors commonly used in the literature. We investigate the achievable gain compared to the conventional detector for different vehicle locations, utilizing a professional optical system design and ray tracing approach. Then, to improve the performance, we introduce the utilization of an imaging receiver by integrating the polar detector with different optical commercial lens combinations, such as Fresnel and Aspherical lenses. To further improve the V2V system performance, we propose a novel optical lens combination design by integrating double-convex lens with half-Plano-concave lens, which allows the correction of more optical aberrations, such as chromatic and spherical aberration. Utilizing the non-sequential ray tracing tools, we designed these VLC systems and perform a realistic channel modeling study considering the typical 3D CAD models of vehicles and roads as well as the possibility of horizontal and vertical movement between the vehicles. Based on the channel impulse responses (CIRs) obtained from the ray tracing simulations, we analyzed the performance of V2V VLC systems with all lens combinations at different vehicle positions on the road. We further investigated the impact of different system parameters on the overall V2V system performance, such as receiver diameter and bandwidth. The obtained results demonstrated that with a carefully chosen system and lens parameters, the proposed system design of lens combination provides an enhancement of up to 7 dB in total received power compared to the case without a lens. Our results also revealed that the proposed system design outperforms the benchmark ones for all lateral displacements and longitudinal distances.INDEX TERMS Vehicular communications, visible light communication, optical lens combination, polar detectors.

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