Access-5G_v6_clean.pdf (747.9 kB)
Performance Evaluation of 5G Millimeter-Wave based Vehicular Communication for Connected Vehicles
preprintposted on 2021-12-10, 22:31 authored by Zadid Khan, Sakib Mahmud KhanSakib Mahmud Khan, Mashrur ChowdhuryMashrur Chowdhury, Mizanur rahman, Mhafuzul islamMhafuzul islam
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.
This study is supported by the Center for Connected Multimodal Mobility (C2M2) (a US Department of Transportation Tier 1 University Transportation Center) headquartered at Clemson University, Clemson, South Carolina, USA. Any opinions, findings, conclusions, and recommendations expressed in this material are those of the author(s). They do not necessarily reflect the views of C2M2, and the US Government assumes no liability for the contents or use thereof.
Email Address of Submitting Authorsakibk@clemson.edu
ORCID of Submitting Authorhttps://orcid.org/ 0000-0002-3491-5562
Submitting Author's InstitutionClemson University
Submitting Author's Country
- United States of America