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) |
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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) |
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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 |
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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 |
6 |
Date of Issue |
2022-02-23 (RCS) |
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