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Probabilistic Behavior Analysis of MIMO Fading Channels under Geometric Mean Decomposition
Joint Authors
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-12-26
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Engineering Sciences and Information Technology
Information Technology and Computer Science
Abstract EN
Geometric mean decomposition (GMD) has been proposed as a method to realize multiple spatial links with identical gains that are intrinsic to a MIMO channel.
In order to simplify system design and implementation based on knowledge regarding probability behavior of MIMO-GMD schemes, the main objective of this paper is to statistically characterize the link gains and channel capacities that can be provided via GMD.
In particular, closed-form univariate and bivariate probability density functions (PDFs) for these metrics under Rayleigh fading are derived using Gamma approximations.
By applying these analytical results, the fluctuations of MIMO-GMD schemes are examined by modeling both link gains and capacities using finite-state Markov chains (FSMCs).
American Psychological Association (APA)
Kuo, Ping-Heng& Ting, Pang-An. 2011. Probabilistic Behavior Analysis of MIMO Fading Channels under Geometric Mean Decomposition. Journal of Electrical and Computer Engineering،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-464172
Modern Language Association (MLA)
Kuo, Ping-Heng& Ting, Pang-An. Probabilistic Behavior Analysis of MIMO Fading Channels under Geometric Mean Decomposition. Journal of Electrical and Computer Engineering No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-464172
American Medical Association (AMA)
Kuo, Ping-Heng& Ting, Pang-An. Probabilistic Behavior Analysis of MIMO Fading Channels under Geometric Mean Decomposition. Journal of Electrical and Computer Engineering. 2011. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-464172
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-464172