Analysis of Performances for Three Massive MIMO Channel Models

Fan Lai, Carlos F. Lopez, Xiqi Gao, Cheng-Xiang Wang, Fuchun Zheng

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

Abstract

In this paper, we compare the performance of three different massive multiple-input-multiple-output (MIMO) channel models using key statistical properties and performance metrics such as channel correlation and capacity, respectively. The channel models studied belong to the widely-used class of geometry-based stochastic models (GBSMs). In addition, we study the influence of the elevation angles and the von Mises K-factor (angular spread) on the channel capacity predicted by two three-dimensional (3-D) GBSMs employing spherical and parabolic wavefronts, respectively. Finally, we present simulation results comparing the channel correlation of the three models and demonstrate the potential impact of the elevation angles and K-factor on the massive MIMO channel capacity.

Original languageEnglish
Title of host publication2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)
PublisherIEEE
ISBN (Electronic)9781538661192
DOIs
Publication statusPublished - 3 Dec 2018
Event10th International Conference on Wireless Communications and Signal Processing 2018 - Hangzhou, China
Duration: 18 Oct 201820 Oct 2018

Publication series

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

Conference

Conference10th International Conference on Wireless Communications and Signal Processing 2018
Abbreviated titleWCSP 2018
CountryChina
CityHangzhou
Period18/10/1820/10/18

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Lai, F., Lopez, C. F., Gao, X., Wang, C-X., & Zheng, F. (2018). Analysis of Performances for Three Massive MIMO Channel Models. In 2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) [8555730] (International Conference on Wireless Communications and Signal Processing (WCSP)). IEEE. https://doi.org/10.1109/WCSP.2018.8555730