Cooperative MIMO Channel Modeling and Multi-Link Spatial Correlation Properties

Xiang Cheng; Cheng-Xiang Wang; Haiming Wang; Xiqi Gao; Xiao-Hu You; Dongfeng Yuan; Bo Ai; Qiang Huo; Ling-Yang Song; Bing-Li Jiao

doi:10.1109/JSAC.2012.120218

Cooperative MIMO Channel Modeling and Multi-Link Spatial Correlation Properties

Xiang Cheng, Cheng-Xiang Wang, Haiming Wang, Xiqi Gao, Xiao-Hu You, Dongfeng Yuan, Bo Ai, Qiang Huo, Ling-Yang Song, Bing-Li Jiao

Research output: Contribution to journal › Article › peer-review

155 Citations (Scopus)

Abstract

In this paper, a novel unified channel model framework is proposed for cooperative multiple-input multiple-output (MIMO) wireless channels. The proposed model framework is generic and adaptable to multiple cooperative MIMO scenarios by simply adjusting key model parameters. Based on the proposed model framework and using a typical cooperative MIMO communication environment as an example, we derive a novel geometry-based stochastic model (GBSM) applicable to multiple wireless propagation scenarios. The proposed GBSM is the first cooperative MIMO channel model that has the ability to investigate the impact of the local scattering density (LSD) on channel characteristics. From the derived GBSM, the corresponding multi-link spatial correlation functions are derived and numerically analyzed in detail.

Original language	English
Pages (from-to)	388-396
Number of pages	9
Journal	IEEE Journal on Selected Areas in Communications
Volume	30
Issue number	2
DOIs	https://doi.org/10.1109/JSAC.2012.120218
Publication status	Published - Feb 2012

Keywords

Cooperative MIMO channels
geometry-based stochastic model
non-isotropic scattering
spatial correlation

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10.1109/JSAC.2012.120218

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title = "Cooperative MIMO Channel Modeling and Multi-Link Spatial Correlation Properties",

abstract = "In this paper, a novel unified channel model framework is proposed for cooperative multiple-input multiple-output (MIMO) wireless channels. The proposed model framework is generic and adaptable to multiple cooperative MIMO scenarios by simply adjusting key model parameters. Based on the proposed model framework and using a typical cooperative MIMO communication environment as an example, we derive a novel geometry-based stochastic model (GBSM) applicable to multiple wireless propagation scenarios. The proposed GBSM is the first cooperative MIMO channel model that has the ability to investigate the impact of the local scattering density (LSD) on channel characteristics. From the derived GBSM, the corresponding multi-link spatial correlation functions are derived and numerically analyzed in detail.",

keywords = "Cooperative MIMO channels , geometry-based stochastic model , non-isotropic scattering , spatial correlation ",

author = "Xiang Cheng and Cheng-Xiang Wang and Haiming Wang and Xiqi Gao and Xiao-Hu You and Dongfeng Yuan and Bo Ai and Qiang Huo and Ling-Yang Song and Bing-Li Jiao",

year = "2012",

month = feb,

doi = "10.1109/JSAC.2012.120218",

language = "English",

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TY - JOUR

T1 - Cooperative MIMO Channel Modeling and Multi-Link Spatial Correlation Properties

AU - Cheng, Xiang

AU - Wang, Cheng-Xiang

AU - Wang, Haiming

AU - Gao, Xiqi

AU - You, Xiao-Hu

AU - Yuan, Dongfeng

AU - Ai, Bo

AU - Huo, Qiang

AU - Song, Ling-Yang

AU - Jiao, Bing-Li

PY - 2012/2

Y1 - 2012/2

N2 - In this paper, a novel unified channel model framework is proposed for cooperative multiple-input multiple-output (MIMO) wireless channels. The proposed model framework is generic and adaptable to multiple cooperative MIMO scenarios by simply adjusting key model parameters. Based on the proposed model framework and using a typical cooperative MIMO communication environment as an example, we derive a novel geometry-based stochastic model (GBSM) applicable to multiple wireless propagation scenarios. The proposed GBSM is the first cooperative MIMO channel model that has the ability to investigate the impact of the local scattering density (LSD) on channel characteristics. From the derived GBSM, the corresponding multi-link spatial correlation functions are derived and numerically analyzed in detail.

AB - In this paper, a novel unified channel model framework is proposed for cooperative multiple-input multiple-output (MIMO) wireless channels. The proposed model framework is generic and adaptable to multiple cooperative MIMO scenarios by simply adjusting key model parameters. Based on the proposed model framework and using a typical cooperative MIMO communication environment as an example, we derive a novel geometry-based stochastic model (GBSM) applicable to multiple wireless propagation scenarios. The proposed GBSM is the first cooperative MIMO channel model that has the ability to investigate the impact of the local scattering density (LSD) on channel characteristics. From the derived GBSM, the corresponding multi-link spatial correlation functions are derived and numerically analyzed in detail.

KW - Cooperative MIMO channels

KW - geometry-based stochastic model

KW - non-isotropic scattering

KW - spatial correlation

U2 - 10.1109/JSAC.2012.120218

DO - 10.1109/JSAC.2012.120218

M3 - Article

SN - 0733-8716

VL - 30

SP - 388

EP - 396

JO - IEEE Journal on Selected Areas in Communications

JF - IEEE Journal on Selected Areas in Communications

IS - 2

ER -

Cooperative MIMO Channel Modeling and Multi-Link Spatial Correlation Properties

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Keywords

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