IEICE TRANSACTIONS on Fundamentals
Application of Compressive Projection Principal Component Analysis to MIMO Channel Feedback Scheme
Summary :
In this letter, we apply recently proposed compressive projection principal component analysis (CPPCA) for MIMO channel feedback. A novel scheme with compressed feedback and efficient reconstruction is presented. Simulation results based on 3GPP spatial channel model (SCM) demonstrate the scheme is beneficial for large-scale MIMO systems.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E93-A No.11 pp.2193-2195
- Publication Date
- 2010/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E93.A.2193
- Type of Manuscript
- Special Section LETTER (Special Section on Smart Multimedia & Communication Systems)
- Category
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Chenhao QI, Lenan WU, "Application of Compressive Projection Principal Component Analysis to MIMO Channel Feedback Scheme" in IEICE TRANSACTIONS on Fundamentals,
vol. E93-A, no. 11, pp. 2193-2195, November 2010, doi: 10.1587/transfun.E93.A.2193.
Abstract: In this letter, we apply recently proposed compressive projection principal component analysis (CPPCA) for MIMO channel feedback. A novel scheme with compressed feedback and efficient reconstruction is presented. Simulation results based on 3GPP spatial channel model (SCM) demonstrate the scheme is beneficial for large-scale MIMO systems.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E93.A.2193/_p
Copy
@ARTICLE{e93-a_11_2193,
author={Chenhao QI, Lenan WU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Application of Compressive Projection Principal Component Analysis to MIMO Channel Feedback Scheme},
year={2010},
volume={E93-A},
number={11},
pages={2193-2195},
abstract={In this letter, we apply recently proposed compressive projection principal component analysis (CPPCA) for MIMO channel feedback. A novel scheme with compressed feedback and efficient reconstruction is presented. Simulation results based on 3GPP spatial channel model (SCM) demonstrate the scheme is beneficial for large-scale MIMO systems.},
keywords={},
doi={10.1587/transfun.E93.A.2193},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - Application of Compressive Projection Principal Component Analysis to MIMO Channel Feedback Scheme
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2193
EP - 2195
AU - Chenhao QI
AU - Lenan WU
PY - 2010
DO - 10.1587/transfun.E93.A.2193
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E93-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2010
AB - In this letter, we apply recently proposed compressive projection principal component analysis (CPPCA) for MIMO channel feedback. A novel scheme with compressed feedback and efficient reconstruction is presented. Simulation results based on 3GPP spatial channel model (SCM) demonstrate the scheme is beneficial for large-scale MIMO systems.
ER -
English
