Paper Abstract and Keywords |
Presentation |
2014-03-03 15:10
Combined Learning Based Cell Selection and Transmit Power Reduction in Heterogeneous Networks Toshihito Kudo, Tomoaki Ohtsuki (Keio Univ.) RCS2013-328 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Cell range expansion (CRE) expands a pico cell range virtually with bias values, which can make cell edge throughput and network throughput improved. Although UE outage can be reduced with bias values set by each UE not with the common ones among all user equipments (UEs), it is difficult to find the optimal ones in terms of calculation complexity. Moreover, the available resources of macro base stations (MBSs) are restricted by ICIC. Although the reduction of transmit power of MBSs allows them to utilize protected resources, the amount of the reduction has been less discussed. In this report, we propose a scheme to select a cell and to configure the transmit power of MBSs with Q-learning to reduce the number of UE outages. Simulation results show that the proposed scheme improves the average throughputs and the average number of UE outages compared with a scheme to configure the common bias value and transmit power of MBSs with Q-learning. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Heterogeneous network / Cell range expansion / Cell selection / Picocell / Reinforcement learning / Q-learning / Multi-agent system / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 456, RCS2013-328, pp. 133-138, March 2014. |
Paper # |
RCS2013-328 |
Date of Issue |
2014-02-24 (RCS) |
ISSN |
Print edition: ISSN 0913-5685 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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RCS2013-328 |
Conference Information |
Committee |
RCS SR SRW |
Conference Date |
2014-03-03 - 2014-03-05 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Waseda Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Mobile Communication Workshop |
Paper Information |
Registration To |
RCS |
Conference Code |
2014-03-RCS-SR-SRW |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Combined Learning Based Cell Selection and Transmit Power Reduction in Heterogeneous Networks |
Sub Title (in English) |
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Keyword(1) |
Heterogeneous network |
Keyword(2) |
Cell range expansion |
Keyword(3) |
Cell selection |
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Picocell |
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Reinforcement learning |
Keyword(6) |
Q-learning |
Keyword(7) |
Multi-agent system |
Keyword(8) |
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1st Author's Name |
Toshihito Kudo |
1st Author's Affiliation |
Keio University (Keio Univ.) |
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Tomoaki Ohtsuki |
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Keio University (Keio Univ.) |
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Speaker |
Author-1 |
Date Time |
2014-03-03 15:10:00 |
Presentation Time |
20 minutes |
Registration for |
RCS |
Paper # |
RCS2013-328 |
Volume (vol) |
vol.113 |
Number (no) |
no.456 |
Page |
pp.133-138 |
#Pages |
6 |
Date of Issue |
2014-02-24 (RCS) |
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