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Paper Abstract and Keywords
Presentation 2018-03-02 16:55
Beam Space Channel Estimation Using Multiple DFT Matrices for Massive MIMO Systems
Jun Shikida, Kazushi Muraoka, Naoto Ishii (NEC) RCS2017-392
Abstract (in Japanese) (See Japanese page) 
(in English) Massive MIMO is a promising technology for the 5th generation (5G) mobile communication systems. When uplink (UL) channel estimation results are used for downlink (DL) massive MIMO transmission, UL channel estimation errors degrade the performance of DL massive MIMO transmission. To reduce the channel estimation errors, a channel estimation method using the channel sparsity in beam space has been studied. This method (hereinafter referred to as “beam space channel estimation (BSCE)”) can reduce the estimation errors by setting the channel estimates of non-dominant beams to zeros. In conventional BSCE, a DFT matrix is used for antenna-to-beam space transformation of channel estimates. In this report, we propose a BSCE using multiple DFT matrices which form beams in mutually different directions to increase beams and to improve the channel estimation accuracy. We also propose a non-zero beam selection method to prevent the directions of non-zero beams from being limited to a specific angular range. Simulation results show that the proposed method using 4 DFT matrices improves cell throughput performance by 53% compared with not using BSCE and by 24% compared with conventional BSCE when the SNR of UL reference signal is 0 dB.
Keyword (in Japanese) (See Japanese page) 
(in English) 5G / Massive MIMO / Multi-user MIMO / Channel Estimation / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 456, RCS2017-392, pp. 405-410, Feb. 2018.
Paper # RCS2017-392 
Date of Issue 2018-02-21 (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 RCS2017-392

Conference Information
Committee RCS SR SRW  
Conference Date 2018-02-28 - 2018-03-02 
Place (in Japanese) (See Japanese page) 
Place (in English) YRP 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Communication Workshop 
Paper Information
Registration To RCS 
Conference Code 2018-02-RCS-SR-SRW 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Beam Space Channel Estimation Using Multiple DFT Matrices for Massive MIMO Systems 
Sub Title (in English)  
Keyword(1) 5G  
Keyword(2) Massive MIMO  
Keyword(3) Multi-user MIMO  
Keyword(4) Channel Estimation  
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1st Author's Name Jun Shikida  
1st Author's Affiliation NEC Corporation (NEC)
2nd Author's Name Kazushi Muraoka  
2nd Author's Affiliation NEC Corporation (NEC)
3rd Author's Name Naoto Ishii  
3rd Author's Affiliation NEC Corporation (NEC)
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Speaker Author-1 
Date Time 2018-03-02 16:55:00 
Presentation Time 20 minutes 
Registration for RCS 
Paper # RCS2017-392 
Volume (vol) vol.117 
Number (no) no.456 
Page pp.405-410 
#Pages 6 
Date of Issue 2018-02-21 (RCS) 

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