Massive MIMO Channel Models: A Survey
Joint Authors
Yin, Xuefeng
Zheng, Kan
Ou, Suling
Source
International Journal of Antennas and Propagation
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-16
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The exponential traffic growth of wireless communicationnetworks gives rise to both the insufficient networkcapacity and excessive carbon emissions.
Massive multiple-input multiple-output (MIMO) can improve the spectrum efficiency(SE) together with the energy efficiency (EE) and has beenregarded as a promising technique for the next generationwireless communication networks.
Channel model reflects thepropagation characteristics of signals in radio environments andis very essential for evaluating the performances of wireless communicationsystems.
The purpose of this paper is to investigatethe state of the art in channel models of massive MIMO.
First,the antenna array configurations are presented and classified,which directly affect the channel models and system performance.
Then, measurement results are given in order to reflect themain properties of massive MIMO channels.
Based on theseproperties, the channel models of massive MIMO are studiedwith different antenna array configurations, which can be usedfor both theoretical analysis and practical evaluation.
American Psychological Association (APA)
Zheng, Kan& Ou, Suling& Yin, Xuefeng. 2014. Massive MIMO Channel Models: A Survey. International Journal of Antennas and Propagation،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1036242
Modern Language Association (MLA)
Zheng, Kan…[et al.]. Massive MIMO Channel Models: A Survey. International Journal of Antennas and Propagation No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1036242
American Medical Association (AMA)
Zheng, Kan& Ou, Suling& Yin, Xuefeng. Massive MIMO Channel Models: A Survey. International Journal of Antennas and Propagation. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1036242
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1036242