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 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) |
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RCS2021-129 |
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) |
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Keyword(1) |
uplink cell-free massive MIMO |
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belief propagation |
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bilinear inference |
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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) |
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Giuseppe Abreu |
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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 |
6 |
Date of Issue |
2021-10-14 (RCS) |
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