Performance comparison of six massive MIMO channel models

Lu Bai; Cheng-Xiang Wang; Shangbin Wu; Carlos F. Lopez; Xiqi Gao; Wensheng Zhang; Yu Liu

doi:10.1109/ICCChina.2017.8330375

Performance comparison of six massive MIMO channel models

Lu Bai, Cheng-Xiang Wang, Shangbin Wu, Carlos F. Lopez, Xiqi Gao, Wensheng Zhang, Yu Liu

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

6 Citations (Scopus)

Abstract

In this paper, six recently proposed massive multiple-input multiple-output (MIMO) channel models are described briefly, and their normalized channel capacities and spatial cross-correlation functions (CCFs) are further compared. Among these models, two dimensional (2D) elliptical model, 2D parabolic model, three dimensional (3D) twin-cluster model, 3D 5G channel model, and 3D ellipsoid model are geometry-based stochastic models (GBSMs), while 2D Kronecker-based stochastic model with birth-death (BD) process on the array axis (KBSM-BD-AA) is a correlation-based stochastic model (CBSM). The 3D channel characteristics considering the elevation angles of massive MIMO channels, and 2D channel characteristics are investigated. The simulation results show that the spatial CCFs and channel capacities of 3D channel models are larger than those of the corresponding 2D channel models.

Original language	English
Title of host publication	2017 IEEE/CIC International Conference on Communications in China (ICCC)
Publisher	IEEE
ISBN (Electronic)	9781538645024
DOIs	https://doi.org/10.1109/ICCChina.2017.8330375
Publication status	Published - 5 Apr 2018

Keywords

CBSM
GBSM
Massive MIMO channel models
normalized channel capacities
spatial CCFs

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Signal Processing

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10.1109/ICCChina.2017.8330375

Cite this

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title = "Performance comparison of six massive MIMO channel models",

abstract = "In this paper, six recently proposed massive multiple-input multiple-output (MIMO) channel models are described briefly, and their normalized channel capacities and spatial cross-correlation functions (CCFs) are further compared. Among these models, two dimensional (2D) elliptical model, 2D parabolic model, three dimensional (3D) twin-cluster model, 3D 5G channel model, and 3D ellipsoid model are geometry-based stochastic models (GBSMs), while 2D Kronecker-based stochastic model with birth-death (BD) process on the array axis (KBSM-BD-AA) is a correlation-based stochastic model (CBSM). The 3D channel characteristics considering the elevation angles of massive MIMO channels, and 2D channel characteristics are investigated. The simulation results show that the spatial CCFs and channel capacities of 3D channel models are larger than those of the corresponding 2D channel models.",

keywords = "CBSM, GBSM, Massive MIMO channel models, normalized channel capacities, spatial CCFs",

author = "Lu Bai and Cheng-Xiang Wang and Shangbin Wu and Lopez, {Carlos F.} and Xiqi Gao and Wensheng Zhang and Yu Liu",

year = "2018",

month = apr,

day = "5",

doi = "10.1109/ICCChina.2017.8330375",

language = "English",

booktitle = "2017 IEEE/CIC International Conference on Communications in China (ICCC)",

publisher = "IEEE",

address = "United States",

}

TY - GEN

T1 - Performance comparison of six massive MIMO channel models

AU - Bai, Lu

AU - Wang, Cheng-Xiang

AU - Wu, Shangbin

AU - Lopez, Carlos F.

AU - Gao, Xiqi

AU - Zhang, Wensheng

AU - Liu, Yu

PY - 2018/4/5

Y1 - 2018/4/5

N2 - In this paper, six recently proposed massive multiple-input multiple-output (MIMO) channel models are described briefly, and their normalized channel capacities and spatial cross-correlation functions (CCFs) are further compared. Among these models, two dimensional (2D) elliptical model, 2D parabolic model, three dimensional (3D) twin-cluster model, 3D 5G channel model, and 3D ellipsoid model are geometry-based stochastic models (GBSMs), while 2D Kronecker-based stochastic model with birth-death (BD) process on the array axis (KBSM-BD-AA) is a correlation-based stochastic model (CBSM). The 3D channel characteristics considering the elevation angles of massive MIMO channels, and 2D channel characteristics are investigated. The simulation results show that the spatial CCFs and channel capacities of 3D channel models are larger than those of the corresponding 2D channel models.

AB - In this paper, six recently proposed massive multiple-input multiple-output (MIMO) channel models are described briefly, and their normalized channel capacities and spatial cross-correlation functions (CCFs) are further compared. Among these models, two dimensional (2D) elliptical model, 2D parabolic model, three dimensional (3D) twin-cluster model, 3D 5G channel model, and 3D ellipsoid model are geometry-based stochastic models (GBSMs), while 2D Kronecker-based stochastic model with birth-death (BD) process on the array axis (KBSM-BD-AA) is a correlation-based stochastic model (CBSM). The 3D channel characteristics considering the elevation angles of massive MIMO channels, and 2D channel characteristics are investigated. The simulation results show that the spatial CCFs and channel capacities of 3D channel models are larger than those of the corresponding 2D channel models.

KW - CBSM

KW - GBSM

KW - Massive MIMO channel models

KW - normalized channel capacities

KW - spatial CCFs

UR - http://www.scopus.com/inward/record.url?scp=85049694687&partnerID=8YFLogxK

U2 - 10.1109/ICCChina.2017.8330375

DO - 10.1109/ICCChina.2017.8330375

M3 - Conference contribution

AN - SCOPUS:85049694687

BT - 2017 IEEE/CIC International Conference on Communications in China (ICCC)

PB - IEEE

ER -

Performance comparison of six massive MIMO channel models

Abstract

Keywords

ASJC Scopus subject areas

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