Analysis of Performances for Three Massive MIMO Channel Models

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

doi:10.1109/WCSP.2018.8555730

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 proceeding › Conference contribution

2 Citations (Scopus)

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 language	English
Title of host publication	2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)
Publisher	IEEE
ISBN (Electronic)	9781538661192
DOIs	https://doi.org/10.1109/WCSP.2018.8555730
Publication status	Published - 3 Dec 2018
Event	10th International Conference on Wireless Communications and Signal Processing 2018 - Hangzhou, China Duration: 18 Oct 2018 → 20 Oct 2018

Publication series

Name	International Conference on Wireless Communications and Signal Processing (WCSP)
Publisher	IEEE
ISSN (Electronic)	2472-7628

Conference

Conference	10th International Conference on Wireless Communications and Signal Processing 2018
Abbreviated title	WCSP 2018
Country/Territory	China
City	Hangzhou
Period	18/10/18 → 20/10/18

ASJC Scopus subject areas

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

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10.1109/WCSP.2018.8555730

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) Article 8555730 (International Conference on Wireless Communications and Signal Processing (WCSP)). IEEE. https://doi.org/10.1109/WCSP.2018.8555730

@inproceedings{987dc8e595f44a63aab4b3c8d07c4db1,

title = "Analysis of Performances for Three Massive MIMO Channel Models",

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.",

author = "Fan Lai and Lopez, {Carlos F.} and Xiqi Gao and Cheng-Xiang Wang and Fuchun Zheng",

year = "2018",

month = dec,

day = "3",

doi = "10.1109/WCSP.2018.8555730",

language = "English",

series = "International Conference on Wireless Communications and Signal Processing (WCSP)",

publisher = "IEEE",

booktitle = "2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)",

address = "United States",

note = "10th International Conference on Wireless Communications and Signal Processing 2018, WCSP 2018 ; Conference date: 18-10-2018 Through 20-10-2018",

}

Lai, F, Lopez, CF, 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, 10th International Conference on Wireless Communications and Signal Processing 2018, Hangzhou, China, 18/10/18. https://doi.org/10.1109/WCSP.2018.8555730

Analysis of Performances for Three Massive MIMO Channel Models. / Lai, Fan; Lopez, Carlos F.; Gao, Xiqi et al.
2018 10th International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2018. 8555730 (International Conference on Wireless Communications and Signal Processing (WCSP)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Analysis of Performances for Three Massive MIMO Channel Models

AU - Lai, Fan

AU - Lopez, Carlos F.

AU - Gao, Xiqi

AU - Wang, Cheng-Xiang

AU - Zheng, Fuchun

PY - 2018/12/3

Y1 - 2018/12/3

N2 - 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.

AB - 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.

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U2 - 10.1109/WCSP.2018.8555730

DO - 10.1109/WCSP.2018.8555730

M3 - Conference contribution

AN - SCOPUS:85059948453

T3 - International Conference on Wireless Communications and Signal Processing (WCSP)

BT - 2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)

PB - IEEE

T2 - 10th International Conference on Wireless Communications and Signal Processing 2018

Y2 - 18 October 2018 through 20 October 2018

ER -

Analysis of Performances for Three Massive MIMO Channel Models

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