Paper Abstract and Keywords |
Presentation |
2021-01-22 09:50
Selection of Interference Cancellation Technique Using Decision Trees for Uplink Non-orthogonal Multiple Access
-- Evaluation of Communication Success Rate in A Mobile Environment -- Noriaki Yamamoto (Meiji Univ.), Masafumi Moriyama, Kenichi Takizawa (NICT), Tetsushi Ikegami (Meiji Univ.) IT2020-85 SIP2020-63 RCS2020-176 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
As IoT(Internet of Things)develops, wireless access techniques that can effectively accommodate massive number of devices transmitting small-size data are required, so Non-orthogonal Multiple Access (NOMA) in which multiple devices share the same communication resource. In the uplink NOMA, interference cancellation technology between devices in the base station is indispensable, and performance comparisons have been made between Successive Interference Cancellation (SIC) and Parallel Interference Cancellation (PIC). In this paper, we propose a system that selects the interference cancellation technology used in the mobile environment by the decision tree according to the received power, and explain the number of data that the decision tree learns and the timing of learning. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Non-orthogonal Multiple Access (NOMA) / Machine Learning / Decision Tree / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 322, RCS2020-176, pp. 119-124, Jan. 2021. |
Paper # |
RCS2020-176 |
Date of Issue |
2021-01-14 (IT, SIP, 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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IT2020-85 SIP2020-63 RCS2020-176 |
Conference Information |
Committee |
SIP IT RCS |
Conference Date |
2021-01-21 - 2021-01-22 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
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Paper Information |
Registration To |
RCS |
Conference Code |
2021-01-SIP-IT-RCS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Selection of Interference Cancellation Technique Using Decision Trees for Uplink Non-orthogonal Multiple Access |
Sub Title (in English) |
Evaluation of Communication Success Rate in A Mobile Environment |
Keyword(1) |
Non-orthogonal Multiple Access (NOMA) |
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Machine Learning |
Keyword(3) |
Decision Tree |
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1st Author's Name |
Noriaki Yamamoto |
1st Author's Affiliation |
Meiji University (Meiji Univ.) |
2nd Author's Name |
Masafumi Moriyama |
2nd Author's Affiliation |
National Institute of Information and Communications Technology (NICT) |
3rd Author's Name |
Kenichi Takizawa |
3rd Author's Affiliation |
National Institute of Information and Communications Technology (NICT) |
4th Author's Name |
Tetsushi Ikegami |
4th Author's Affiliation |
Meiji University (Meiji Univ.) |
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Speaker |
Author-1 |
Date Time |
2021-01-22 09:50:00 |
Presentation Time |
25 minutes |
Registration for |
RCS |
Paper # |
IT2020-85, SIP2020-63, RCS2020-176 |
Volume (vol) |
vol.120 |
Number (no) |
no.320(IT), no.321(SIP), no.322(RCS) |
Page |
pp.119-124 |
#Pages |
6 |
Date of Issue |
2021-01-14 (IT, SIP, RCS) |
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