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Paper Abstract and Keywords
Presentation 2022-01-27 10:25
Study on Channel Database for Cell-Free Massive MIMO
Takahiro Matsuda (TMU), Kentaro Nishimori (Niigata Univ.) CQ2021-77
Abstract (in Japanese) (See Japanese page) 
(in English) Cell-Free Massive MIMO (CF-Ma-MIMO) systems comprise a very large number of access points (APs) distributed over a wide area and provide cell-free wireless access for mobile users with higher energy efficiency. In a CF-Ma-MIMO system, large scale fading coefficients of all AP-user pairs in the area are used to estimate channel gains of all the pairs. However, it is not a cost-effective way to maintain the large scale fading coefficients for all the users especially in a CF-Ma-MIMO network with a large number of APs and users. In this article, in order to efficiently maintain the large scale coefficients, we propose a tensor-completion based channel database for CF-Ma-MIMO networks, which utilize the spatial correlation property of large scale fading. In the proposed system, coefficients are formulated as a third-order tensor, and from partially observed components of the tensor, its factor matrices are estimated with low rank tensor completion. Large scale fading coefficients for new arrival users are obtained from the estimated factor matrices. In this article, we explain the basic idea of channel database for CF-Ma-MIMO and evaluate the performance with simple simulation experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) Cell-Free Massive MIMO / Channel Database / Tensor Completion / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 357, CQ2021-77, pp. 7-12, Jan. 2022.
Paper # CQ2021-77 
Date of Issue 2022-01-20 (CQ) 
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 CQ2021-77

Conference Information
Committee CQ CBE  
Conference Date 2022-01-27 - 2022-01-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Kanazawa（Ishikawa Pref.） 
Topics (in Japanese) (See Japanese page) 
Topics (in English) AR/VR, Broadcasting Service, Video/Voice Services Quality, High Realistic, User Behavior/Psychology, User Experience, Media Quality, Network Quality and QoS Control, Networks and Communications at Disaster, User Behavior, Machine Learning, Video Communication, etc. 
Paper Information
Registration To CQ 
Conference Code 2022-01-CQ-CBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study on Channel Database for Cell-Free Massive MIMO 
Sub Title (in English)  
Keyword(1) Cell-Free Massive MIMO  
Keyword(2) Channel Database  
Keyword(3) Tensor Completion  
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1st Author's Name Takahiro Matsuda  
1st Author's Affiliation Tokyo Metropolitan University (TMU)
2nd Author's Name Kentaro Nishimori  
2nd Author's Affiliation Niigata University (Niigata Univ.)
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Speaker Author-1 
Date Time 2022-01-27 10:25:00 
Presentation Time 25 minutes 
Registration for CQ 
Paper # CQ2021-77 
Volume (vol) vol.121 
Number (no) no.357 
Page pp.7-12 
#Pages 6 
Date of Issue 2022-01-20 (CQ) 

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