Paper Abstract and Keywords |
Presentation |
2019-03-06 10:55
A Study on Criterion of Adaptively Scaled Belief for GaBP in Massive SCMA Keisuke Inagaki, Takumi Takahashi, Shinsuke Ibi, Seiichi Sampei (Osaka Univ.) RCS2018-286 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we apply Gaussian belief propagation (GaBP) to the multi-user detection (MUD) in massive sparse code multiple access (SCMA) and clarify that the detection capability is further improved by adaptively scaled belief (ASB). When optimizing SCMA for GaBP detection, the intensity of the odd and even elements of the belief propagating between GaBP iteration is biased. Surprisingly, the bias of the belief helps in suppressing modeling errors of the prior belief, and improves bit error rate (BER) performance. However, in severe overload condition, even with the above method, the detection capability of GaBP is significantly degraded due to the modeling error of the prior belief. Therefore, we consider applying adaptively scale belief (ASB) which is known to be capable of remarkably suppressing the error floor of BER performance while giving the bias to the belief in SCMA-GaBP. Finally, computer simulation results confirm the validity of our proposed method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Massive Connections / SCMA / Soft Interference Cancellation / GaBP / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 474, RCS2018-286, pp. 25-30, March 2019. |
Paper # |
RCS2018-286 |
Date of Issue |
2019-02-27 (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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RCS2018-286 |
Conference Information |
Committee |
RCS SR SRW |
Conference Date |
2019-03-06 - 2019-03-08 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
YRP |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Mobile Communication Workshop |
Paper Information |
Registration To |
RCS |
Conference Code |
2019-03-RCS-SR-SRW |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study on Criterion of Adaptively Scaled Belief for GaBP in Massive SCMA |
Sub Title (in English) |
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Keyword(1) |
Massive Connections |
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SCMA |
Keyword(3) |
Soft Interference Cancellation |
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GaBP |
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1st Author's Name |
Keisuke Inagaki |
1st Author's Affiliation |
Osaka University (Osaka Univ.) |
2nd Author's Name |
Takumi Takahashi |
2nd Author's Affiliation |
Osaka University (Osaka Univ.) |
3rd Author's Name |
Shinsuke Ibi |
3rd Author's Affiliation |
Osaka University (Osaka Univ.) |
4th Author's Name |
Seiichi Sampei |
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Osaka University (Osaka Univ.) |
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Speaker |
Author-1 |
Date Time |
2019-03-06 10:55:00 |
Presentation Time |
25 minutes |
Registration for |
RCS |
Paper # |
RCS2018-286 |
Volume (vol) |
vol.118 |
Number (no) |
no.474 |
Page |
pp.25-30 |
#Pages |
6 |
Date of Issue |
2019-02-27 (RCS) |
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