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Paper Abstract and Keywords
Presentation 2021-10-21 16:00
[Poster Presentation] A Study on Bayesian Receiver Design via Bilinear Inference for Scalable Cell-Free Massive MIMO
Takumi Takahashi (Osaka Univ.), Hiroki Iimori (JUB), Kengo Ando, Koji Ishibashi (UEC), Shinsuke Ibi (Doshisha Univ), Giuseppe Abreu (JUB) RCS2021-129
Abstract (in Japanese) (See Japanese page) 
(in English) One of the main challenges in realizing uplink scalable cell-free massive multi-input multi-output (CF-mMIMO) is capacity constraint on fronthaul links connecting spatially distributed access points (APs) and a central processing unit (CPU). In this paper, we investigate a robust receiver design considering the effect of information compression with the use of low-resolution analog-to-digital converters (ADCs) equipped on every AP, while assuming the power-saving and low-cost APs. The proposed scheme allows us to jointly estimate channel and data signals via bilinear Gaussian belief propagation (BiGaBP) on the basis of double-precision signals received at the CPU and quantized signals sent from the APs via the fronthaul links. Finally, simulation results show the efficacy of our proposed method in terms of the bit error rate (BER) performance.
Keyword (in Japanese) (See Japanese page) 
(in English) uplink cell-free massive MIMO / belief propagation / bilinear inference / low-resolution ADCs / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 210, RCS2021-129, pp. 57-62, Oct. 2021.
Paper # RCS2021-129 
Date of Issue 2021-10-14 (RCS) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee RCS  
Conference Date 2021-10-21 - 2021-10-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Wireless Communication Schemes, Wireless Communication Systems, Wireless Standards, Future Wireless Systems, etc. 
Paper Information
Registration To RCS 
Conference Code 2021-10-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Bayesian Receiver Design via Bilinear Inference for Scalable Cell-Free Massive MIMO 
Sub Title (in English)  
Keyword(1) uplink cell-free massive MIMO  
Keyword(2) belief propagation  
Keyword(3) bilinear inference  
Keyword(4) low-resolution ADCs  
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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 Jacobs University Bremen (JUB)
3rd Author's Name Kengo Ando  
3rd Author's Affiliation The University of Electro-commnucations (UEC)
4th Author's Name Koji Ishibashi  
4th Author's Affiliation The University of Electro-commnucations (UEC)
5th Author's Name Shinsuke Ibi  
5th Author's Affiliation Doshisha University (Doshisha Univ)
6th Author's Name Giuseppe Abreu  
6th Author's Affiliation Jacobs University Bremen (JUB)
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Speaker Author-1 
Date Time 2021-10-21 16:00:00 
Presentation Time 60 minutes 
Registration for RCS 
Paper # RCS2021-129 
Volume (vol) vol.121 
Number (no) no.210 
Page pp.57-62 
#Pages
Date of Issue 2021-10-14 (RCS) 


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