60 GHz channel measurements and ray tracing modeling in an indoor environment

Andong Zhou, Jie Huang, Jian Sun, Qiuming Zhu, Cheng-Xiang Wang, Yang Yang

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

29 Citations (Scopus)

Abstract

Millimeter wave (mmWave) communication has become a promising key technology of the fifth generation (5G) communication systems, and gained extensive interests. In this paper, we examine 60 GHz mmWave channels in an indoor office environment by means of ray tracing method. Based on geometrical optic (GO) and uniform theory of diffraction (UTD), ray tracing method uses computer simulation to approximate the radio wave propagation. The accuracy of ray tracing based simulation is guaranteed by a very detailed three-dimensional (3-D) environment model and proper material electromagnetic parameters. The simulation results including power delay profile (PDP) and normalized power angular spectrum (PAS) are compared with the channel measurement data which is processed by the space-alternating generalized expectation-maximization (SAGE) estimation algorithm. Good agreements between simulated and measured properties of dominant paths are achieved in both line-of-sight (LOS) and non-line-of-sight (NLOS) scenarios. The comparison results indicate that ray tracing can be a useful and reliable method for characterizing 60 GHz channel properties.

Original languageEnglish
Title of host publication2017 9th International Conference on Wireless Communications and Signal Processing (WCSP)
PublisherIEEE
ISBN (Electronic)9781538620625
DOIs
Publication statusPublished - 11 Dec 2017

Publication series

NameInternational Conference on Wireless Communications and Signal Processing (WCSP)
PublisherIEEE
ISSN (Electronic)2472-7628

Keywords

  • 60 GHz
  • channel measurements
  • mmWave
  • ray tracing
  • SAGE

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

Fingerprint

Dive into the research topics of '60 GHz channel measurements and ray tracing modeling in an indoor environment'. Together they form a unique fingerprint.

Cite this