MIMO Propagation Channel Modeling
Summary :
This paper provides an overview of research in channel modeling for multiple-input multiple-output (MIMO) data transmission focusing on a radio wave propagation. A MIMO channel is expressed as an equivalent circuit with a limited number of eigenpaths according to the singular-value decomposition (SVD). Each eigenpath amplitude depends on the propagation structure not only of the path direction profiles for both transmission and reception points but also of intermediate regions. Inherent in adaptive control is the problem of instability as a hidden difficulty. In this paper these issues are addressed and research topics on MIMO from a radio wave propagation viewpoint are identified.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E88-B No.5 pp.1829-1842
- Publication Date
- 2005/05/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietcom/e88-b.5.1829
- Type of Manuscript
- Special Section INVITED PAPER (Special Section on Recent Progress in Antennas and Propagation Researches--Selected Papers Translated from the IEICE Transactions on Communications (Japanese Edition)--)
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Yoshio KARASAWA, "MIMO Propagation Channel Modeling" in IEICE TRANSACTIONS on Communications,
vol. E88-B, no. 5, pp. 1829-1842, May 2005, doi: 10.1093/ietcom/e88-b.5.1829.
Abstract: This paper provides an overview of research in channel modeling for multiple-input multiple-output (MIMO) data transmission focusing on a radio wave propagation. A MIMO channel is expressed as an equivalent circuit with a limited number of eigenpaths according to the singular-value decomposition (SVD). Each eigenpath amplitude depends on the propagation structure not only of the path direction profiles for both transmission and reception points but also of intermediate regions. Inherent in adaptive control is the problem of instability as a hidden difficulty. In this paper these issues are addressed and research topics on MIMO from a radio wave propagation viewpoint are identified.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.5.1829/_p
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@ARTICLE{e88-b_5_1829,
author={Yoshio KARASAWA, },
journal={IEICE TRANSACTIONS on Communications},
title={MIMO Propagation Channel Modeling},
year={2005},
volume={E88-B},
number={5},
pages={1829-1842},
abstract={This paper provides an overview of research in channel modeling for multiple-input multiple-output (MIMO) data transmission focusing on a radio wave propagation. A MIMO channel is expressed as an equivalent circuit with a limited number of eigenpaths according to the singular-value decomposition (SVD). Each eigenpath amplitude depends on the propagation structure not only of the path direction profiles for both transmission and reception points but also of intermediate regions. Inherent in adaptive control is the problem of instability as a hidden difficulty. In this paper these issues are addressed and research topics on MIMO from a radio wave propagation viewpoint are identified.},
keywords={},
doi={10.1093/ietcom/e88-b.5.1829},
ISSN={},
month={May},}
Copy
TY - JOUR
TI - MIMO Propagation Channel Modeling
T2 - IEICE TRANSACTIONS on Communications
SP - 1829
EP - 1842
AU - Yoshio KARASAWA
PY - 2005
DO - 10.1093/ietcom/e88-b.5.1829
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2005
AB - This paper provides an overview of research in channel modeling for multiple-input multiple-output (MIMO) data transmission focusing on a radio wave propagation. A MIMO channel is expressed as an equivalent circuit with a limited number of eigenpaths according to the singular-value decomposition (SVD). Each eigenpath amplitude depends on the propagation structure not only of the path direction profiles for both transmission and reception points but also of intermediate regions. Inherent in adaptive control is the problem of instability as a hidden difficulty. In this paper these issues are addressed and research topics on MIMO from a radio wave propagation viewpoint are identified.
ER -
English
