Performance analysis of V2V and V2I LiFi communication systems in traffic lights

Gerardo Hernandez-Oregon, Mario E. Rivero-Angeles, Juan C. Chimal-Eguiá, Arturo Campos-Fentanes, Jorge G. Jimenez-Gallardo, Ulises O. Estevez-Alva, Omar Juarez-Gonzalez, Pedro O. Rosas-Calderon, Sergio Sandoval-Reyes, Rolando Menchaca-Mendez, Manzoor Ahmed Khan

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

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

Original languageEnglish
Article number4279683
JournalWireless Communications and Mobile Computing
Volume2019
DOIs
Publication statusPublished - 2019

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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