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

Miguel Gutierrez Gaitan, Ramiro Samano-Robles

Producción científica: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojada7th IEEE World Forum on Internet of Things, WF-IoT 2021
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas783-788
Número de páginas6
ISBN (versión digital)9781665444316
DOI
EstadoPublicada - 14 jun. 2021
Evento7th IEEE World Forum on Internet of Things, WF-IoT 2021 - New Orleans, Estados Unidos
Duración: 14 jun. 202131 jul. 2021

Serie de la publicación

Nombre7th IEEE World Forum on Internet of Things, WF-IoT 2021

Conferencia

Conferencia7th IEEE World Forum on Internet of Things, WF-IoT 2021
País/TerritorioEstados Unidos
CiudadNew Orleans
Período14/06/2131/07/21

Áreas temáticas de ASJC Scopus

  • Inteligencia artificial
  • Redes de ordenadores y comunicaciones
  • Informática aplicada
  • Visión artificial y reconocimiento de patrones
  • Hardware y arquitectura
  • Gestión y sistemas de información

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