Abstract:
Wireless communication in the field of radio frequency (RF) have modernized our
society. People experience persistent connection and high-speed data through wireless
technologies like Wi-Fi and LTE while browsing the internet. But RF spectrum is not the
only spectrum through which we can communicate or carry our information. We can surf
through the internet using other waves of the spectrum as well. The major issues of RF
spectrum are intrusion, high latency and it requires an individual transmitter receiver
setup in order to function. Dr. Herald Hass came up with an idea of ‘data through
illumination’. Surmounting the drawbacks of RF spectrum, visible light communication
(VLC) is more favored technique because of unlimited band width and immunity to
intrusion from electromagnetic (EM) sources. In intelligent transportation system (ITS),
this evolving technology of VLC has a strong hold in order to connect vehicle-toinfrastructure (V2I) and vehicle-to-vehicle (V2V) links wirelessly. The factors due to
which the implementation of VLC faces a lot of hurdles are mostly related to environment
such as dust, haze, snow, sunlight, rain, fog, smog and atmospheric disturbances. In this
thesis, we executed a thorough channel modelling in order to study the effects of clear
weather, fog, snow and rain quantitatively with respect to different wavelengths in
consideration for an ITS. The parameters under consideration will be signal-to-noise ratio
(SNR), bit error rate (BER) and optical power received (OPR) for different LED
wavelengths.
