In-Tunnel Multi-Ray Analysis for LOS V2V Links with Multiple Antennas

Miguel Gutierrez Gaitan, Ramiro Samano-Robles

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

This paper presents a geometric multi-ray tracing analysis for vehicle-to-vehicle (V2V) communication in tunnel environments. The objective is to investigate the performance of V2V MIMO (multiple-input multiple-output) antenna systems in the presence of multiple (specular) reflections inside a tunnel, e.g. from ground, walls and ceiling. To this purpose, we built upon our prior work where we established the V2V MIMO channel with ground reflections as an extension of the classical two-ray model. Then, in line with this vision, we increased the number of potential reflected rays to those dominating the particular tunnel's geometry. We assessed the performance of the in-tunnel V2V MIMO link assuming transmit symbols repetition and different receiver combining schemes. Analytical results for a semicircular tunnel reveals that multiple antenna systems can be useful to exploit/counteract the constructive/destructive interference patterns typically observed in tunnel-like surroundings.

Original languageEnglish
Title of host publication7th IEEE World Forum on Internet of Things, WF-IoT 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages783-788
Number of pages6
ISBN (Electronic)9781665444316
DOIs
Publication statusPublished - 14 Jun 2021
Event7th IEEE World Forum on Internet of Things, WF-IoT 2021 - New Orleans, United States
Duration: 14 Jun 202131 Jul 2021

Publication series

Name7th IEEE World Forum on Internet of Things, WF-IoT 2021

Conference

Conference7th IEEE World Forum on Internet of Things, WF-IoT 2021
Country/TerritoryUnited States
CityNew Orleans
Period14/06/2131/07/21

Keywords

  • LOS
  • MIMO
  • Tunnel
  • Two-ray model
  • V2V

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Information Systems and Management

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