Vehicular networks is a key technology for efficiently communicating both userâ??s devices and cars for timely information regarding\nsafe driving conditions and entertaining applications like social media, video streaming, and gaming services, among\nothers. In view of this, mobile communications making use of cellular resources may not be an efficient and cost-effective\nalternative. In this context, the implementation of light-fidelity (LiFi) in vehicular communications could be a low-cost, high-datarate,\nand efficient-bandwidth usage solution. In this work, we propose a mathematical analysis to study the average throughput in\na road intersection equipped with a traffic light that operates as a server, which is assumed to have LiFi communication links with\nthe front lights of the vehicles waiting for the green light. We further assume that the front vehicle (the car next to the traffic light)\nis able to communicate to the car immediately behind it by using its own tail lights and the front lights of such vehicle, and so on\nand so forth. The behavior of the road junction is modeled by a Markov chain, applying the Queueing theory with an M/M/1\nsystem in order to obtain the average queue length. Then, Littleâ??s theorem is applied to calculate the average waiting delay when\nthe red light is present in the traffic light. Finally, the mathematical expression of the data throughput is derived.
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