Paper Abstract and Keywords |
Presentation |
2021-01-26 11:15
Reinforcement Learning based Joint Channel/Subframe Selection Scheme for Fair LTE-WiFi Coexistence Yuki Kishimoto, Xiaoyan Wang, Masahiro Umehira (Ibaraki Univ.) SR2020-57 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, there has been an increasing demand for high-speed and large-capacity mobile communications. To deal with this, a coexistence mechanism has been proposed which extends LTE communication from the current licensed spectrum to the unlicensed spectrum used by WiFi communication. In the current LTE-WiFi coexistence standard, a Listen-Before-Talk (LBT) approach is adopted to make the LTE system perform carrier sensing before a transmission. However, the optimal channel selection and subframe adjustment issues still exist to realize fair coexistence between co-located LTE and WiFi networks. In this paper, we propose a reinforcement learning based joint channel/subframe selection scheme for fair coexistence between LTE and WiFi systems. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
LTE-WiFi / Channel selection / Subframe selection / Reinforcement learning / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 341, SR2020-57, pp. 60-66, Jan. 2021. |
Paper # |
SR2020-57 |
Date of Issue |
2021-01-18 (SR) |
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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SR2020-57 |
Conference Information |
Committee |
SR |
Conference Date |
2021-01-25 - 2021-01-26 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Cognitive Radio, Spectrum Management, Heterogeneous Network, SDN, Machine Learning Application, etc. |
Paper Information |
Registration To |
SR |
Conference Code |
2021-01-SR |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Reinforcement Learning based Joint Channel/Subframe Selection Scheme for Fair LTE-WiFi Coexistence |
Sub Title (in English) |
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Keyword(1) |
LTE-WiFi |
Keyword(2) |
Channel selection |
Keyword(3) |
Subframe selection |
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Reinforcement learning |
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1st Author's Name |
Yuki Kishimoto |
1st Author's Affiliation |
Ibaraki University (Ibaraki Univ.) |
2nd Author's Name |
Xiaoyan Wang |
2nd Author's Affiliation |
Ibaraki University (Ibaraki Univ.) |
3rd Author's Name |
Masahiro Umehira |
3rd Author's Affiliation |
Ibaraki University (Ibaraki Univ.) |
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Speaker |
Author-1 |
Date Time |
2021-01-26 11:15:00 |
Presentation Time |
25 minutes |
Registration for |
SR |
Paper # |
SR2020-57 |
Volume (vol) |
vol.120 |
Number (no) |
no.341 |
Page |
pp.60-66 |
#Pages |
7 |
Date of Issue |
2021-01-18 (SR) |
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