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Paper Abstract and Keywords
Presentation 2025-07-30 16:30
K-Means based Clustering for Terminal Collaborative MIMO Transmission
Anbo Yue, Yuki Sasaki, Kazuki Maruta (Tokyo Univ. of Science) RCS2025-78
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a clustering strategy to meet the demands of high throughput in multi-user collaborative uplink MIMO. In the collaborative MIMO systems, coordinated multiple user terminals (UTs) perform spatial multi-stream transmission toward a base station (BS) to enhance the throughput. Although collaborative MIMO transmission provides significant gain over single-user transmission, its performance depends on the configuration of coordinated UTs due to the signaling overhead required for information sharing. Optimal user clustering is essential in this system. This paper proposes a modified K-means based clustering scheme, called collaborative K-means (CKM). K-means generates an arbitrary number of clusters from input data using the centroids of clusters. The proposed K-means algorithm is modified to ensure that each cluster contains at least two UTs, thereby avoiding isolated clusters. This guarantees the acquisition of cooperative MIMO transmission gains. The effectiveness of the proposed scheme is evaluated through computer simulations.
Keyword (in Japanese) (See Japanese page) 
(in English) MIMO / Terminal collaboration / Clustering / / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 133, RCS2025-78, pp. 25-30, July 2025.
Paper # RCS2025-78 
Date of Issue 2025-07-23 (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)
Download PDF RCS2025-78

Conference Information
Committee SR RCS RCC SeMI NS RISING HCL  
Conference Date 2025-07-30 - 2025-08-01 
Place (in Japanese) (See Japanese page) 
Place (in English) MALIOS 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To RCS 
Conference Code 2025-07-SR-RCS-RCC-SeMI-NS-RISING-HCL 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) K-Means based Clustering for Terminal Collaborative MIMO Transmission 
Sub Title (in English)  
Keyword(1) MIMO  
Keyword(2) Terminal collaboration  
Keyword(3) Clustering  
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1st Author's Name Anbo Yue  
1st Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
2nd Author's Name Yuki Sasaki  
2nd Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
3rd Author's Name Kazuki Maruta  
3rd Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
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Speaker Author-1 
Date Time 2025-07-30 16:30:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2025-78 
Volume (vol) vol.125 
Number (no) no.133 
Page pp.25-30 
#Pages 6 
Date of Issue 2025-07-23 (RCS) 

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