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Paper Abstract and Keywords
Presentation 2014-01-24 15:15
UE Outage Reduction with Distributed Learning-based Cell Selection in Cell Range Expansion
Toshihito Kudo, Tomoaki Ohtsuki (Keio Univ.) SIP2013-133 RCS2013-303
Abstract (in Japanese) (See Japanese page) 
(in English) Cell range expansion (CRE) expands a pico cell range virtually by adding a bias value to the pico received power, instead of increasing transmit power of the pico base station (PBS), which can make cell-edge throughput and overall network throughput improved. Although UE outage can be reduced by bias value set for each user equipment (UE) independently, it is difficult to find the optimal ones because they depend on the distribution of UEs and the number of available resources. In this report, we propose a scheme to select a cell by using Q-learning algorithm where each UE learns to which cell to send an service request to reduce the number of UE outages from its past experience independently. Simulation results show that the proposed scheme has the minimum number of UE outages in the system. Moreover, they show that it reduces the number of UE outages and the required memory size, which makes it converge fast, compared with our previous proposed method.
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. 386, RCS2013-303, pp. 281-286, Jan. 2014.
Paper # RCS2013-303 
Date of Issue 2014-01-16 (SIP, RCS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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)
Download PDF SIP2013-133 RCS2013-303

Conference Information
Committee RCS SIP  
Conference Date 2014-01-23 - 2014-01-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Signal Processing for Wireless Systems, etc. 
Paper Information
Registration To RCS 
Conference Code 2014-01-RCS-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) UE Outage Reduction with Distributed Learning-based Cell Selection in Cell Range Expansion 
Sub Title (in English)  
Keyword(1) Heterogeneous network  
Keyword(2) Cell range expansion  
Keyword(3) Cell selection  
Keyword(4) Picocell  
Keyword(5) Reinforcement learning  
Keyword(6) Q-learning  
Keyword(7) Multi-agent system  
Keyword(8)  
1st Author's Name Toshihito Kudo  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Tomoaki Ohtsuki  
2nd Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2014-01-24 15:15:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # SIP2013-133, RCS2013-303 
Volume (vol) vol.113 
Number (no) no.385(SIP), no.386(RCS) 
Page pp.281-286 
#Pages 6 
Date of Issue 2014-01-16 (SIP, RCS) 

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