Comparison of Propagation Channel Characteristics for Multiple Millimeter Wave Bands

Jie Huang, Rui Feng, Jian Sun, Cheng-Xiang Wang, Wensheng Zhang, Yang Yang

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

3 Citations (Scopus)

Abstract

Millimeter wave (mmWave) communication has been a key technology for the fifth generation (5G) wireless communications. There have been various mmWave channel measurements. However, many measurements in the literature are conducted with different configurations, which may have large impacts on the propagation channel characteristics, and make the comparison of propagation channel characteristics for different mmWave bands impossible. In this paper, we carry out channel measurements at 11, 16, 28, and 38 GHz bands in an indoor environment using a vector network analyzer (VNA). The space-alternating generalized expectation-maximization (SAGE) algorithm is used to obtain the multipath component (MPC) parameters including three dimensional (3D) angular domain information. The propagation characteristics like average power delay profile (APDP), power azimuth profile (PAP), power elevation profile (PEP), root mean square (RMS) delay spread (DS), and azimuth and elevation angular spread (AS) are shown and compared for the four frequency bands. The results show similar properties for different bands and indicate the possibility of the derivation of a unified channel model framework for 10-40 GHz bands.

Original languageEnglish
Title of host publication2017 IEEE 85th Vehicular Technology Conference (VTC Spring)
PublisherIEEE
ISBN (Electronic)9781509059324
DOIs
Publication statusPublished - 16 Nov 2017

ASJC Scopus subject areas

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

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  • Cite this

    Huang, J., Feng, R., Sun, J., Wang, C-X., Zhang, W., & Yang, Y. (2017). Comparison of Propagation Channel Characteristics for Multiple Millimeter Wave Bands. In 2017 IEEE 85th Vehicular Technology Conference (VTC Spring) [8108205] IEEE. https://doi.org/10.1109/VTCSpring.2017.8108205