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Paper Abstract and Keywords
Presentation 2022-03-03 09:30
Channel Estimation Scheme Robust against Pilot Contamination for Hybrid Beamforming Massive MIMO Systems
Yuki Ono, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech), Satoshi Suyama, Takahiro Asai (NTT DOCOMO) RCS2021-270
Abstract (in Japanese) (See Japanese page) 
(in English) In 5G massive MIMO systems, hybrid beamforming (HB), which is composed of the analog beamforming (AB) and the digital beamforming (DB), has been investigated to reduce the number of baseband and RF circuits.
Even HB still has a serious problem of the pilot contamination caused by sharing the same pilot signals among multiple user terminals, and the channel estimation accuracy of the desired user is severely degraded. To fix such a problem, this report proposes a channel estimation scheme for HB that is robust against the pilot contamination in TDD (Time Division Duplex) multiuser MIMO communications.
First, the proposed scheme estimates an average angle of arrival (AoA) for each cluster of the desired and interfering users' propagation paths by applying the spatial smoothing and multiple signal classification (MUSIC) to received pilot signals. Next, a linear combination of the array response vectors corresponding to the estimated average and its neighboring AoAs is estimated as the whole channel impulse response of the desired and interfering users. Finally, the linear combination of the array response vectors centered on the AoAs of the interfering users is subtracted from the whole channel impulse response and then, the result can be regarded as the channel impulse response of the desired user.
Computer simulations demonstrate that the proposed scheme can alleviate the degradation of the average bit error rate (BER) performance of the HB downlink beamforming caused by the pilot contamination.
Keyword (in Japanese) (See Japanese page) 
(in English) Massive MIMO / hybrid beamforming / pilot contamination / channel estimation / MUSIC / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 391, RCS2021-270, pp. 102-107, March 2022.
Paper # RCS2021-270 
Date of Issue 2022-02-23 (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)
Download PDF RCS2021-270

Conference Information
Committee RCS SR SRW  
Conference Date 2022-03-02 - 2022-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Communication Workshop 
Paper Information
Registration To RCS 
Conference Code 2022-03-RCS-SR-SRW 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Channel Estimation Scheme Robust against Pilot Contamination for Hybrid Beamforming Massive MIMO Systems 
Sub Title (in English)  
Keyword(1) Massive MIMO  
Keyword(2) hybrid beamforming  
Keyword(3) pilot contamination  
Keyword(4) channel estimation  
Keyword(5) MUSIC  
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1st Author's Name Yuki Ono  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
2nd Author's Name Yuyuan Chang  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
3rd Author's Name Kazuhiko Fukawa  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
4th Author's Name Satoshi Suyama  
4th Author's Affiliation NTT DOCOMO,INC. (NTT DOCOMO)
5th Author's Name Takahiro Asai  
5th Author's Affiliation NTT DOCOMO,INC. (NTT DOCOMO)
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Speaker Author-1 
Date Time 2022-03-03 09:30:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2021-270 
Volume (vol) vol.121 
Number (no) no.391 
Page pp.102-107 
#Pages
Date of Issue 2022-02-23 (RCS) 


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