Improving millimeter-wave channel models for suburban environments with site-specific geometric features

Yaguang Zhang, David J. Love, Nicolo Michelusi, James V. Krogmeier, Soumya Jyoti, Alex Sprintson, Christopher R. Anderson

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

5 Scopus citations

Abstract

This paper proposes simple procedures to improve traditional statistical millimeter-wave channel models for suburban environments with site-specific geometric features. Blockages by buildings and vegetation were considered and existing models were verified with measurement data for an emulated microcell deployment. The results indicate that a holistic, network-level approach for channel modeling will help deal with the high dependence of millimeter waves on site-specific features.

Original languageEnglish (US)
Title of host publication2018 International Applied Computational Electromagnetics Society Symposium in Denver, ACES-Denver 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780996007870
DOIs
StatePublished - May 23 2018
Externally publishedYes
Event2018 International Applied Computational Electromagnetics Society Symposium in Denver, ACES-Denver 2018 - Denver, United States
Duration: Mar 25 2018Mar 29 2018

Publication series

Name2018 International Applied Computational Electromagnetics Society Symposium in Denver, ACES-Denver 2018

Conference

Conference2018 International Applied Computational Electromagnetics Society Symposium in Denver, ACES-Denver 2018
CountryUnited States
CityDenver
Period3/25/183/29/18

Keywords

  • channel modeling
  • millimeter wave
  • site-specific geometric features
  • suburban environments

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computational Mathematics
  • Numerical Analysis
  • Instrumentation

Fingerprint Dive into the research topics of 'Improving millimeter-wave channel models for suburban environments with site-specific geometric features'. Together they form a unique fingerprint.

Cite this