A novel 3D GBSM for mmWave MIMO channels

Jie Huang, Cheng-Xiang Wang, Yu Liu, Jian Sun, Wensheng Zhang

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

In this paper, a novel three dimensional (3D) wideband geometry-based stochastic model (GBSM) for millimeter wave (mmWave) multiple-input multiple-output (MIMO) channels is proposed. A homogeneous Poisson point process (PPP) is used to generate the clusters in 3D space. The transmitter (Tx) and receiver (Rx) are surrounded by two spheres. The scatterers distributed in the two spheres are introduced to mimic the clustering effects of multipath components (MPCs) in delay and angular domains. The large-scale path loss model and line-of-sight (LOS) probability model are taken into account to make the channel model realistic. In addition, mmWave channel measurements are conducted in an indoor environment. Simulation results based on the two-sphere channel model are compared with measurement results and good agreements are achieved, which validates the proposed channel model. The results indicate that the proposed channel model has good adaptivity and can model the mmWave channel accurately.

Original languageEnglish
Article number102305
JournalScience China Information Sciences
Volume61
Issue number10
Early online date28 Jun 2018
DOIs
Publication statusPublished - Oct 2018

Keywords

  • 3D GBSM
  • channel measurements
  • homogeneous PPP
  • LOS probability
  • mmWave channels

ASJC Scopus subject areas

  • Computer Science(all)

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