Modeling and Design of Millimeter-Wave Networks for Highway Vehicular Communication

Andrea Tassi, Malcolm Egan, Robert J. Piechocki, Andrew Nix

Research output: Contribution to journalArticle (Academic Journal)

61 Citations (Scopus)

Abstract

Connected and autonomous vehicles will play a pivotal role in future Intelligent Transportation Systems (ITSs) and smart cities, in general. High-speed and low-latency wireless communication links will allow municipalities to warn vehicles against safety hazards, as well as support cloud-driving solutions to drastically reduce traffic jams and air pollution. To achieve these goals, vehicles need to be equipped with a wide range of sensors generating and exchanging high rate data streams. Recently, millimeter wave (mmWave) techniques have been introduced as a means of fulfilling such high data rate requirements. In this paper, we model a highway communication network and characterize its fundamental link budget metrics. In particular, we specifically consider a network where vehicles are served by mmWave Base Stations (BSs) deployed alongside the road. To evaluate our highway network, we develop a new theoretical model that accounts for a typical scenario where heavy vehicles (such as buses and lorries) in slow lanes obstruct Line-of-Sight (LOS) paths of vehicles in fast lanes and, hence, act as blockages. Using tools from stochastic geometry, we derive approximations for the Signal-to-Interference-plus-Noise Ratio (SINR) outage probability, as well as the probability that a user achieves a target communication rate (rate coverage probability). Our analysis provides new design insights for mmWave highway communication networks. In considered highway scenarios, we show that reducing the horizontal beamwidth from 90° to 30° determines a minimal reduction in the SINR outage probability (namely, 4 · 10−2 at maximum). Also, unlike bi-dimensional mmWave cellular networks, for small BS densities (namely, one BS every 500 m) it is still possible to achieve an SINR outage probability smaller than 0.2.
Original languageEnglish
Number of pages16
JournalIEEE Transactions on Vehicular Technology
Early online date1 Aug 2017
DOIs
Publication statusE-pub ahead of print - 1 Aug 2017

Keywords

  • Analytical models
  • Cellular networks
  • Loss measurement
  • millimeter-wave networks
  • performance modeling
  • Roads
  • Sensors
  • Signal to noise ratio
  • stochastic geometry
  • Vehicular communications

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