Paper Abstract and Keywords |
Presentation |
2020-06-25 14:55
A Study on the Behavior of Each LLR in Gaussian Belief Propagation Daniel Akira Ando, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara, Takanori Sato (Hokkaido Univ.) RCS2020-39 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We have entered the era of the Internet of Things (IoT), where everything can now be connected to the internet. In order to expand even more the use of IoT devices and services, massive MIMO, which achieves massive multiple access, will attract much more attention. However, simultaneous transmission from a large number of IoT devices increases the complexity of signal detection significantly. As a means of solving this issue, the Gaussian belief propagation algorithm has been proposed. The Gaussian belief propagation described on a bipartite factor graph is an algorithm to detect individual transmitted signals based on message passing. In this study, we investigated the behavior of messages in the factor graph. As a result, we have found that error-free detection is achieved even though nearly 40% of the polarity of messages are incorrect. This property may be applied to decrease the complexity of Gaussian belief propagation in the future. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Massive MIMO / Signal Detection / Gaussian Belief Propagation / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 74, RCS2020-39, pp. 97-102, June 2020. |
Paper # |
RCS2020-39 |
Date of Issue |
2020-06-17 (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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RCS2020-39 |
Conference Information |
Committee |
RCS |
Conference Date |
2020-06-24 - 2020-06-26 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
First Presentation in IEICE Technical Committee, Resource Control, Scheduling, Wireless Communications, etc. |
Paper Information |
Registration To |
RCS |
Conference Code |
2020-06-RCS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study on the Behavior of Each LLR in Gaussian Belief Propagation |
Sub Title (in English) |
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Keyword(1) |
Massive MIMO |
Keyword(2) |
Signal Detection |
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Gaussian Belief Propagation |
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1st Author's Name |
Daniel Akira Ando |
1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
2nd Author's Name |
Toshihiko Nishimura |
2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
3rd Author's Name |
Takeo Ohgane |
3rd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
4th Author's Name |
Yasutaka Ogawa |
4th Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
5th Author's Name |
Junichiro Hagiwara |
5th Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
6th Author's Name |
Takanori Sato |
6th Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-06-25 14:55:00 |
Presentation Time |
25 minutes |
Registration for |
RCS |
Paper # |
RCS2020-39 |
Volume (vol) |
vol.120 |
Number (no) |
no.74 |
Page |
pp.97-102 |
#Pages |
6 |
Date of Issue |
2020-06-17 (RCS) |
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