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Paper Abstract and Keywords
Presentation 2025-03-07 15:15
[Invited Talk] MCS Selection Based on Mutual Information Using Vector Similarity Search in Massive Multi-User MIMO-OFDM Systems
Takumi Takahashi (Osaka Univ.), Shinsuke Ibi (Doshisha Univ.), Hideki Ochiai (Osaka Univ.), Kazushi Muraoka, Takanobu Doi (NEC) RCS2024-296 SR2024-129 SRW2024-75
Abstract (in Japanese) (See Japanese page) 
(in English) To maximize the uplink throughput of multi-user multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems, it is necessary to assign a carefully selected modulation and coding scheme (MCS) to each user according to an accurate prediction of the mutual information (MI) that can be achieved with multi-user detection (MUD) based on the knowledge of the estimated channel state information (CSI). However, since the detection accuracy of iterative MUDs varies depending on the convergence characteristics, it is challenging to analytically predict the achievable MI in the presence of MUD. To address this difficulty, we propose a novel method for predicting the achievable MI by creating a vector database (VDB) offline that stores feature vectors (keys) computed from CSI and the actual MI (values) achieved with iterative MUD, and then searching this VDB online using approximate nearest neighbors (ANN) search, which enables VSS at ultra-high speed. Simulation results demonstrate the validity of the proposed method in terms of the uplink throughput.
Keyword (in Japanese) (See Japanese page) 
(in English) multi-user MIMO-OFDM / MCS selection / vector similarity search / vector database / mutual information / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 410, SR2024-129, pp. 131-131, March 2025.
Paper # SR2024-129 
Date of Issue 2025-02-26 (RCS, SR, SRW) 
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 RCS2024-296 SR2024-129 SRW2024-75

Conference Information
Committee RCS SR SRW  
Conference Date 2025-03-05 - 2025-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Communication Workshop 
Paper Information
Registration To SR 
Conference Code 2025-03-RCS-SR-SRW 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) MCS Selection Based on Mutual Information Using Vector Similarity Search in Massive Multi-User MIMO-OFDM Systems 
Sub Title (in English)  
Keyword(1) multi-user MIMO-OFDM  
Keyword(2) MCS selection  
Keyword(3) vector similarity search  
Keyword(4) vector database  
Keyword(5) mutual information  
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1st Author's Name Takumi Takahashi  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Shinsuke Ibi  
2nd Author's Affiliation Doshisha University (Doshisha Univ.)
3rd Author's Name Hideki Ochiai  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Kazushi Muraoka  
4th Author's Affiliation NEC Corporation (NEC)
5th Author's Name Takanobu Doi  
5th Author's Affiliation NEC Corporation (NEC)
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Speaker Author-1 
Date Time 2025-03-07 15:15:00 
Presentation Time 50 minutes 
Registration for SR 
Paper # RCS2024-296, SR2024-129, SRW2024-75 
Volume (vol) vol.124 
Number (no) no.409(RCS), no.410(SR), no.411(SRW) 
Page p.193(RCS), p.131(SR), p.74(SRW) 
#Pages 1 
Date of Issue 2025-02-26 (RCS, SR, SRW) 

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