Millimeter wave coverage and blockage duration analysis for vehicular communications

Caglar Tunc, Mustafa F. Ozkoc, Shivendra Panwar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Millimeter-wave (mmWave) is a promising network access technology to enable reliable communications in future vehicular networks, which is expected to be dominated by autonomous vehicles. In this study, we consider line-of- sight (LOS) communications between mmWave-enabled vehicles and roadside units (RSUs) in a highway scenario where the LOS links can potentially get blocked by blocking vehicles. We focus on two performance metrics, namely the blockage probability and the average blockage duration. We establish a continuous-time Markov chain formulation of the problem in which transition rates depend on the speed, length and intervehicle distance of blocking vehicles. By using the steady-state solution of this model, we explicitly derive the blockage probability and average blockage duration. After validating the accuracy of the analytical results by comparing with simulations, we demonstrate that the main performance limitation of mmWave systems is due to the blockage duration, not the probability of blockage events. We also discuss the implications of our results in terms of the deployment of RSUs to provide ultra-reliable and low-latency connectivity.

Original languageEnglish (US)
Title of host publication2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728112206
DOIs
StatePublished - Sep 2019
Event90th IEEE Vehicular Technology Conference, VTC 2019 Fall - Honolulu, United States
Duration: Sep 22 2019Sep 25 2019

Publication series

NameIEEE Vehicular Technology Conference
Volume2019-September
ISSN (Print)1550-2252

Conference

Conference90th IEEE Vehicular Technology Conference, VTC 2019 Fall
CountryUnited States
CityHonolulu
Period9/22/199/25/19

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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