Paper Abstract and Keywords |
Presentation |
2019-06-21 15:00
Channel Estimation and Data Detection for Grant-Free Multiple Access Using Vector Approximate Message Passing Takanori Hara, Koji Ishibashi (The Univ. of Electro-Communications) RCS2019-96 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we propose joint channel estimation (CE) and multiuser detection (MUD) for the grant-free non-orthogonal multiple access (GF-NOMA). Conventional scheme converts the original sparse reconstruction with multiple vectors into that with single block-sparse vector and solves the reconstruction problem by block sparsity adaptive subspace pursuit (BSASP). Although BSASP can achieve the superior performance, its computational complexity is significantly high, and the properly-tuned thresholds are required for each signal-to-noise ratio (SNR). We show that our proposal enables to perform an effective CE and MUD applying multiple measurement vector approximate message passing (MMV-AMP) to the original sparse reconstruction with multiple vectors. Computer simulations confirm that the performance of our proposal is comparable with that of the conventional scheme while lower computational complexity. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Grant-free non-orthogonal multiple access / channel estimation / compressed sensing / approximate message passing / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 90, RCS2019-96, pp. 347-352, June 2019. |
Paper # |
RCS2019-96 |
Date of Issue |
2019-06-12 (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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RCS2019-96 |
Conference Information |
Committee |
RCS |
Conference Date |
2019-06-19 - 2019-06-21 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Miyakojima Hirara Port Terminal Building |
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 |
2019-06-RCS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Channel Estimation and Data Detection for Grant-Free Multiple Access Using Vector Approximate Message Passing |
Sub Title (in English) |
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Grant-free non-orthogonal multiple access |
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channel estimation |
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compressed sensing |
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approximate message passing |
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1st Author's Name |
Takanori Hara |
1st Author's Affiliation |
The University of Electro-Communications (The Univ. of Electro-Communications) |
2nd Author's Name |
Koji Ishibashi |
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The University of Electro-Communications (The Univ. of Electro-Communications) |
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Speaker |
Author-1 |
Date Time |
2019-06-21 15:00:00 |
Presentation Time |
25 minutes |
Registration for |
RCS |
Paper # |
RCS2019-96 |
Volume (vol) |
vol.119 |
Number (no) |
no.90 |
Page |
pp.347-352 |
#Pages |
6 |
Date of Issue |
2019-06-12 (RCS) |
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