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Paper Abstract and Keywords
Presentation 2017-03-03 10:50
A Study of Channel Estimation for Massive MIMO using Hybrid Beamforming
Keisuke Wakayama, Kazuhiko Fukawa, Yuyuan Chang (Tokyo Tech) RCS2016-325
Abstract (in Japanese) (See Japanese page) 
(in English) For massive MIMO employed in 5G mobile communications, hybrid beamforming, which is composed of analog beam forming (ABF) and digital beam forming (DBF), has been investigated to reduce a huge amount of analog circuits.
Since ABF reduces the degree of freedom for the received signals, the hybrid beamforming cannot accurately estimate channel impulse responses of all antenna elements (CIR-AAE), which makes it difficult to control transmit weights.
To cope with such a problem, this report considers multiuser TDD uplink channels and proposes a scheme to accurately estimate CIR-AAE, upon the basis of equivalent ABF channel impulse responses observed in ABF.
First, the proposed scheme performs decision-directed channel estimation of the equivalent ABF channel impulse responses by QR-decomposition-based recursive least-squares (QR-RLS), which uses detected data signals besides training signals and requires low computational complexity.
Next, an average angle of arrival (AoA) for each user is estimated from the peak of correlation between each user's estimated equivalent ABF impulse responses and subarray response vectors.
Then, CIR-AAE is approximated as a linear combination of the array response vectors corresponding to the estimated average and its neighboring AoAs.
The coefficients of the linear combination are obtained under the MMSE criterion.
Computer simulations show that (i) the estimation accuracy of the equivalent ABF impulse response improves along with average $E_b / N_0$, and that (ii) the estimation accuracy of CIR-AAE also improves along with average $E_b / N_0$, irrespective of both the angle spread and the accuracy of the average AoA estimation.
Keyword (in Japanese) (See Japanese page) 
(in English) 5G / Massive MIMO / Hybrid beamforming / Channel estimation / QR-RLS / Angle of arrival / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 479, RCS2016-325, pp. 199-204, March 2017.
Paper # RCS2016-325 
Date of Issue 2017-02-22 (RCS) 
ISSN Print edition: ISSN 0913-5685    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 RCS2016-325

Conference Information
Committee RCS SR SRW  
Conference Date 2017-03-01 - 2017-03-03 
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 2017-03-RCS-SR-SRW 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Channel Estimation for Massive MIMO using Hybrid Beamforming 
Sub Title (in English)  
Keyword(1) 5G  
Keyword(2) Massive MIMO  
Keyword(3) Hybrid beamforming  
Keyword(4) Channel estimation  
Keyword(5) QR-RLS  
Keyword(6) Angle of arrival  
Keyword(7)  
Keyword(8)  
1st Author's Name Keisuke Wakayama  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
2nd Author's Name Kazuhiko Fukawa  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
3rd Author's Name Yuyuan Chang  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
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Speaker Author-1 
Date Time 2017-03-03 10:50:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2016-325 
Volume (vol) vol.116 
Number (no) no.479 
Page pp.199-204 
#Pages 6 
Date of Issue 2017-02-22 (RCS) 

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