标题:Cooperative MIMO Channel Modeling and Multi-Link Spatial Correlation Properties
作者:Cheng, Xiang; Wang, Cheng-Xiang; Wang, Haiming; Gao, Xiqi; You, Xiao-Hu; Yuan, Dongfeng; Ai, Bo; Huo, Qiang; Song, Ling-Yang; Jiao, 更多
作者机构:[Wang, Cheng-Xiang] Heriot Watt Univ, Sch Engn & Phys Sci, Joint Res Inst Signal & Image Proc, Edinburgh EH14 4AS, Midlothian, Scotland.; [Cheng, Xi 更多
通讯作者:Wang, CX
通讯作者地址:[Wang, CX]Heriot Watt Univ, Sch Engn & Phys Sci, Joint Res Inst Signal & Image Proc, Edinburgh EH14 4AS, Midlothian, Scotland.
来源:IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
出版年:2012
卷:30
期:2
页码:388-396
DOI:10.1109/JSAC.2012.120218
关键词:Cooperative MIMO channels; geometry-based stochastic model; spatial; correlation; non-isotropic scattering
摘要: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.
收录类别:EI;SCOPUS;SCIE
WOS核心被引频次:112
Scopus被引频次:119
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84863033450&doi=10.1109%2fJSAC.2012.120218&partnerID=40&md5=7905c8b1a9937a6828457dffe20cbaa1
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