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Paper Abstract and Keywords
Presentation 2024-12-20 13:55
[Invited Lecture] Bayesian Bilinear Inference-based Receiver Design for Time-Varying Millimeter-Wave MIMO Detection
Takumi Takahashi (Osaka Univ.), Hiroki Iimori (Ericsson), Koji Ishibashi (UEC), Shinsuke Ibi (Doshisha Univ.), Giuseppe Abreu (CU) NS2024-167 RCS2024-200
Abstract (in Japanese) (See Japanese page) 
(in English) This lecture proposes a novel joint channel tracking and data detection (JCTDD) scheme to combat the channel aging phenomenon that is characteristic of millimeter-wave (mmWave) multiple-input multiple-output (MIMO) communication systems in high-mobility scenarios. The contribution aims to significantly reduce the communication overhead required to estimate time-varying mmWave channels by extending the Kalman filter-based two-stage tracking mechanism to a Bayesian message passing framework, to jointly perform channel tracking (CT) and data detection (DD). The efficacy of the proposed method is confirmed by computer simulations, which show that the proposed method not only significantly outperforms the state-of-the-art (SotA) but also approaches the performance of an idealized Genie-aided scheme.
Keyword (in Japanese) (See Japanese page) 
(in English) mmWave MIMO communications / channel aging / data detection / channel tracking / Bayesian bilinear inference / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 311, RCS2024-200, pp. 145-145, Dec. 2024.
Paper # RCS2024-200 
Date of Issue 2024-12-12 (NS, 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 NS2024-167 RCS2024-200

Conference Information
Committee NS RCS  
Conference Date 2024-12-19 - 2024-12-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Hakodate Arena + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Multi-hop/Relay/Cooperation, Disaster-resistant wireless network, Sensor/Mesh network, Ad-hoc network, D2D/M2M, Wireless network coding, Handover/AP switching/Connected cell control/Load balancing among base stations/Mobile network dynamic reconfiguration, QoS/QoE assurance, Wireless VoIP, IoT, Edge computing, etc. 
Paper Information
Registration To RCS 
Conference Code 2024-12-NS-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Bayesian Bilinear Inference-based Receiver Design for Time-Varying Millimeter-Wave MIMO Detection 
Sub Title (in English)  
Keyword(1) mmWave MIMO communications  
Keyword(2) channel aging  
Keyword(3) data detection  
Keyword(4) channel tracking  
Keyword(5) Bayesian bilinear inference  
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1st Author's Name Takumi Takahashi  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Hiroki Iimori  
2nd Author's Affiliation Ericsson Research Japan (Ericsson)
3rd Author's Name Koji Ishibashi  
3rd Author's Affiliation The University of Electro-communications (UEC)
4th Author's Name Shinsuke Ibi  
4th Author's Affiliation Doshisha University (Doshisha Univ.)
5th Author's Name Giuseppe Abreu  
5th Author's Affiliation Constructor University (CU)
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Speaker Author-1 
Date Time 2024-12-20 13:55:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # NS2024-167, RCS2024-200 
Volume (vol) vol.124 
Number (no) no.310(NS), no.311(RCS) 
Page p.134(NS), p.145(RCS) 
#Pages 1 
Date of Issue 2024-12-12 (NS, RCS) 

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