Dr. Pranav Sharda

In this work, to tackle the line-of-sight (LoS) blockage constraint, a new transmission scheme for vehicle-to-vehicle (V2V) visible light communications (VLC) employing optical reflecting intelligent surfaces (RISs) is proposed and analyzed. To this end, the idea is to address the critical V2V-VLC LoS blockage impact concerning mobility scenarios. Moreover, multiple light-emitting diodes (LEDs)/transmitters-based headlights are employed to enhance the transmission propagation paths. Consequently, it significantly improves the overall reliability of the proposed RIS-aided V2V-VLC model. Further, to emphasize the reliability of the proposed V2V-VLC model, comprehensive path loss and energy efficiency modeling are accentuated. For the realistic V2V-VLC findings, modeling of the path loss corresponding to the intermediate communication links, i.e., between transmitter-RIS and RIS-receiver is emphasized. A novel closed-form expression of a lower bound for the required number of RIS elements to attain a targeted energy efficiency is also developed. Further, to mark interesting research insights, the performance of the proposed RIS-aided V2V-VLC scheme is also compared with the existing scheme. Furthermore, considering the key findings, it is observed that the proposed RIS-aided V2V-VLC scheme offers reliable communication despite mobility-concerned blockage. Moreover, the proposed scheme significantly outperforms the existing scheme concerning the targeted energy efficiency for the reasonable number of required RIS reflection elements.

In this work, a vehicle-to-vehicle (V2V) visible light communications (VLC) model for two practical scenarios, is proposed. In scenario 1, the random lateral shift of vehicles and the deterministic longitudinal separation between two communicating vehicles are considered, whereas in scenario 2, longitudinal separation between two vehicles is considered to be random, and lateral shift of vehicles is considered to be deterministic. To this end, we emphasize comprehensive modeling of the practical characteristics of the considered V2V-VLC system, such as random path loss due to the random mobility of the vehicle, random lateral shift and random longitudinal separation of the vehicle. Moreover, we analyze the performance of the proposed V2V-VLC model in terms of different metrics under the consideration of a novel channel model. Considering our findings, it is observed that the random lateral shift of the vehicle and the random longitudinal separation between two vehicles have a significant impact on the V2V-VLC system performance. Further, at a distance of 40 m, for example, the path loss penalties for moderate and dense fog weather scenarios are 2 and 3 dB, respectively, compared with the clear weather. Furthermore, the combined impact of path loss and atmospheric turbulence affects the V2V-VLC performance significantly.