Paper Abstract and Keywords |
Presentation |
2020-03-05 13:55
Performance of MIMO transmission using a spatial-temporal subspace-based compressive channel estimation technique Yasuhiro Takano (Kobe Univ.) RCS2019-367 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Channel estimation accuracy in massive multiple-input multiple-output (MIMO) systems can suffer from deterioration since the parameters to be estimated are promotional to the number of transmission links. MIMO channel estimation techniques require, hence, the compressive sensing and/or subspace-based methods to distinguish the significant parameters to be estimated. We summarize recently proposed our L1 regularized spatial-temporal subspace channel estimation inspired with the independent component analysis, and discuss its MIMO transmission performance. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Compressive sensing / Principal component analysis (PCA) / Independent component analysis (ICA) / Channel estimation / Massive MIMO / Expectation-maximization (EM) method / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 448, RCS2019-367, pp. 239-244, March 2020. |
Paper # |
RCS2019-367 |
Date of Issue |
2020-02-26 (RCS) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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RCS2019-367 |
Conference Information |
Committee |
RCS SR SRW |
Conference Date |
2020-03-04 - 2020-03-06 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tokyo Institute of Technology |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Mobile Communication Workshop |
Paper Information |
Registration To |
RCS |
Conference Code |
2020-03-RCS-SR-SRW |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Performance of MIMO transmission using a spatial-temporal subspace-based compressive channel estimation technique |
Sub Title (in English) |
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Keyword(1) |
Compressive sensing |
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Principal component analysis (PCA) |
Keyword(3) |
Independent component analysis (ICA) |
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Channel estimation |
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Massive MIMO |
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Expectation-maximization (EM) method |
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1st Author's Name |
Yasuhiro Takano |
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Kobe University (Kobe Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-03-05 13:55:00 |
Presentation Time |
20 minutes |
Registration for |
RCS |
Paper # |
RCS2019-367 |
Volume (vol) |
vol.119 |
Number (no) |
no.448 |
Page |
pp.239-244 |
#Pages |
6 |
Date of Issue |
2020-02-26 (RCS) |