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Paper Abstract and Keywords
Presentation 2021-11-26 15:00
[Poster Presentation] Performance of Least-squares Channel Estimation for Large-scale MU-MIMO-OFDM in the Presence of Terminal Mobility
Yutaka Itoya, Shuhei Saito, Hirofumi Suganuma (Waseda Univ.), Hiromichi Tomeba, Takashi Onodera (Sharp), Fumiaki Maehara (Waseda Univ.) SRW2021-51 SeMI2021-50 CNR2021-25
Abstract (in Japanese) (See Japanese page) 
(in English) This report investigates the effect of multiplexing-based least squares (LS) channel estimation on uplink large-scale MU-MIMO-OFDM in the presence of terminal mobility. In uplink large-scale MU-MIMO, the same number of pilot symbols as that of mobile stations (MSs) is generally required, which results in the consumption of a substantial amount of resources for channel estimation. This overhead can be reduced by using the LS channel estimation in user multiplexing because this method has only to use a limited number of subcarriers, with a multipath length at most. In addition, the achieved overhead reductions can be effectively utilized for improving the tracking capability of channel estimation under varying channels. Since our performance evaluation focuses on mobile communications systems such as 6G, uplink large-scale MU-MIMO is assumed, and Gaussian belief propagation (GaBP) is applied to detect multiple uplink signals. The effectiveness of this method relative to that of the traditional LS method with the same number of pilot symbols is demonstrated under time selective fading through computer simulations.
Keyword (in Japanese) (See Japanese page) 
(in English) large-scale MIMO / channel estimation / OFDM / least squares (LS) / terminal mobility / Gaussian belief propagation (GaBP) / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 265, SRW2021-51, pp. 82-83, Nov. 2021.
Paper # SRW2021-51 
Date of Issue 2021-11-18 (SRW, SeMI, CNR) 
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 SRW2021-51 SeMI2021-50 CNR2021-25

Conference Information
Committee SRW SeMI CNR  
Conference Date 2021-11-25 - 2021-11-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IoT Workshop 
Paper Information
Registration To SRW 
Conference Code 2021-11-SRW-SeMI-CNR 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance of Least-squares Channel Estimation for Large-scale MU-MIMO-OFDM in the Presence of Terminal Mobility 
Sub Title (in English)  
Keyword(1) large-scale MIMO  
Keyword(2) channel estimation  
Keyword(3) OFDM  
Keyword(4) least squares (LS)  
Keyword(5) terminal mobility  
Keyword(6) Gaussian belief propagation (GaBP)  
Keyword(7)  
Keyword(8)  
1st Author's Name Yutaka Itoya  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Shuhei Saito  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Hirofumi Suganuma  
3rd Author's Affiliation Waseda University (Waseda Univ.)
4th Author's Name Hiromichi Tomeba  
4th Author's Affiliation Sharp Corporation (Sharp)
5th Author's Name Takashi Onodera  
5th Author's Affiliation Sharp Corporation (Sharp)
6th Author's Name Fumiaki Maehara  
6th Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2021-11-26 15:00:00 
Presentation Time 120 minutes 
Registration for SRW 
Paper # SRW2021-51, SeMI2021-50, CNR2021-25 
Volume (vol) vol.121 
Number (no) no.265(SRW), no.266(SeMI), no.267(CNR) 
Page pp.82-83(SRW), pp.69-70(SeMI), pp.59-60(CNR) 
#Pages 2 
Date of Issue 2021-11-18 (SRW, SeMI, CNR) 

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