Performance Evaluation of 5G Millimeter-Wave based Vehicular
Communication for Connected Vehicles
Abstract
Due to the gradual increase in the volume of data generated by connected
vehicles (CV), future vehicle-to-infrastructure (V2I) applications will
require a communication medium that offers high-speed (high bandwidth)
while maintaining reliability in high-mobility traffic scenarios. The 5G
millimeter-wave (mmWave) can solve the communication issues related to
V2I applications. However, the performance of the 5G mmWave for
vehicular communication in high-mobility urban traffic scenarios is yet
to be evaluated. This study presents a case study on assessing the
performance of the 5G mmWave based vehicular communication in such
traffic scenarios. We have designed three realistic use cases for
performance evaluation based on three challenges: increased CV
penetration level, dynamic mobility, and V2I application specifications,
such as data rate and packet size. Then, we have created a
simulation-based experimental setup using a microscopic traffic
simulator (SUMO) and a communication network simulator (ns-3) to
simulate the use cases. We have used delay, packet loss, throughput, and
signal-to-interference-plus-noise ratio (SINR) as the communication
performance evaluation metrics. Our analyses found that the CV
penetration level is the primary determinant of the performance of the
5G mmWave. Moreover, once the data rate is increased by a factor of 40,
delay and packet loss increase by factors of 6.8 and 2.8, respectively.