Validation of a geometry-based statistical mmWave channel model using ray-tracing simulation

Qian Li, Hooman Shirani-Mehr, Tommaso Balercia, Apostolos Papathanassiou, Geng Wu, Shu Sun, Mathew Khalil Samimi, Theodore S. Rappaport

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

Abstract

Next-generation wireless communications systems are expected to exploit frequency bands above 6 GHz. An important transition towards such bands will be design of channel models capable of supporting the design of efficient air-interface and networks. In this paper, we describe a geometry-based statistical channel model and apply ray-tracing simulation for its validation. Focusing on path loss and root-mean-square (RMS) delay spread as metrics, we show that the proposed modeling approach is flexible and realistic.

Original languageEnglish (US)
Title of host publication2015 IEEE 81st Vehicular Technology Conference, VTC Spring 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479980888
DOIs
StatePublished - Jul 1 2015
Event81st IEEE Vehicular Technology Conference, VTC Spring 2015 - Glasgow, United Kingdom
Duration: May 11 2015May 14 2015

Publication series

NameIEEE Vehicular Technology Conference
Volume2015
ISSN (Print)1550-2252

Other

Other81st IEEE Vehicular Technology Conference, VTC Spring 2015
CountryUnited Kingdom
CityGlasgow
Period5/11/155/14/15

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Validation of a geometry-based statistical mmWave channel model using ray-tracing simulation'. Together they form a unique fingerprint.

Cite this