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Paper Abstract and Keywords
Presentation 2024-11-29 15:40
Optimization Method for MU-MIMO Using a Directivity Derivation Approach Based on Spherical Mode Expansion
Shunta Naganuma, Maki Arai (Tokyo Univ. of Science), Aohan Li (The Univ. of Electro-Communications), Mikio Hasegawa (Tokyo Univ. of Science) SRW2024-48 SeMI2024-60
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes an optimization method for MU-MIMO systems using antenna directivity derivation based
on spherical mode expansion according to the propagation environments . In MU-MIMO, maximizing channel capacity while
minimizing interference between multiple users is crucial. Conventional antenna design methods rely on antenna structure and
placement, requiring iterative adjustments considering the actual propagation environment during the design process. In contrast,
the proposed method analytically derives optimal directivity for each user by applying spherical mode expansion, eliminating
the need for iterative searches and enabling optimal performance independent of antenna configuration. In this paper, we assume
a hybrid beamforming configuration, where the optimal directivity derived for multiple users is combined with conventional
digital beamforming methods. The effectiveness of this approach is validated through numerical calculations comparing it with
conventional methods such as Zero Forcing (ZF) and Block Diagonalization (BD),demonstrating superior performance in terms
of channel capacity.
Keyword (in Japanese) (See Japanese page) 
(in English) MU-MIMO / spherical mode expansion / Zero Forcing / Block Diagonalization / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 276, SRW2024-48, pp. 96-101, Nov. 2024.
Paper # SRW2024-48 
Date of Issue 2024-11-21 (SRW, SeMI) 
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 SRW2024-48 SeMI2024-60

Conference Information
Committee SRW SeMI  
Conference Date 2024-11-28 - 2024-11-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Univ. of Science Katsushika Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IoT Workshop 
Paper Information
Registration To SRW 
Conference Code 2024-11-SRW-SeMI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Optimization Method for MU-MIMO Using a Directivity Derivation Approach Based on Spherical Mode Expansion 
Sub Title (in English)  
Keyword(1) MU-MIMO  
Keyword(2) spherical mode expansion  
Keyword(3) Zero Forcing  
Keyword(4) Block Diagonalization  
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1st Author's Name Shunta Naganuma  
1st Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
2nd Author's Name Maki Arai  
2nd Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
3rd Author's Name Aohan Li  
3rd Author's Affiliation The University of Electro-Communications (The Univ. of Electro-Communications)
4th Author's Name Mikio Hasegawa  
4th Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
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Speaker Author-1 
Date Time 2024-11-29 15:40:00 
Presentation Time 25 minutes 
Registration for SRW 
Paper # SRW2024-48, SeMI2024-60 
Volume (vol) vol.124 
Number (no) no.276(SRW), no.277(SeMI) 
Page pp.96-101 
#Pages 6 
Date of Issue 2024-11-21 (SRW, SeMI) 

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