The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dans cette lettre, nous appliquons l’analyse en composantes principales de projection compressive (CPPCA) récemment proposée pour le retour de canal MIMO. Un nouveau schéma avec rétroaction compressée et reconstruction efficace est présenté. Les résultats de simulation basés sur le modèle de canal spatial (SCM) 3GPP démontrent que le schéma est bénéfique pour les systèmes MIMO à grande échelle.
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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
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@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},}
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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 -