Literature Database Entry


Julien Jahneke, "Realistic Radiation Patterns for Visible Light based Vehicular Communication," Bachelor Thesis, Department of Computer Science, Paderborn University, May 2018. (Advisors: Agon Memedi, Claas Tebruegge and Falko Dressler)


Recently, Visible Light Communication (VLC) emerged as a candidate technology for Vehicle-to-Vehicle (V2V) communication. Compared to the predominant Radio Frequency (RF) communication, VLC offers some distinct advantages. These com- prise the vastly larger spectrum and lower chance of interference from ongoing communication. While indoor VLC systems are already available on the market, research towards Vehicular Visible Light Communication (V-VLC) has only recently gained momentum. To evaluate VLC-based Intelligent Transportation Systems (ITS) applications by simulation, accurate models of the headlight transmitter and photodetector receiver are mandatory. Oftentimes the headlight is simply modeled as a Lambertian radiator, which does not reflect a headlight’s highly asymmetric radiation. Therefore, a novel communication model based on realistic headlight radiation patterns and photode- tector characteristics is developed and validated with empirical measurements. The vehicular networking simulation framework Veins is extended with the model. Based on two simulation scenarios, different vehicle class headlight and taillight modules are compared and evaluated regarding their suitability for V-VLC. The results show that for the low beam modules, the module of an upper class SUV performs best at long range, whereas a middle class sedan module offers the best communication to parallel lanes. For the high beams, the module of a middle class sedan performs best. The results also show that only the brake light can be used for reliable communication to the rear.

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Julien Jahneke

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    author = {Jahneke, Julien},
    advisor = {Memedi, Agon and Tebruegge, Claas and Dressler, Falko},
    title = {{Realistic Radiation Patterns for Visible Light based Vehicular Communication}},
    institution = {Department of Computer Science},
    year = {2018},
    month = {May},
    school = {Paderborn University},
    type = {Bachelor Thesis},

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