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Paper Abstract and Keywords
Presentation 2021-12-17 11:25
A Study on User Scheduling for Overloaded Environment in Distributed Antenna Network Using Quantum Computing
Keishi Hanakago, Ryo Takahashi, Takahiro Ohyama (PSNRD), Fumiyuki Adachi (Tohoku Univ.) RCS2021-189
Abstract (in Japanese) (See Japanese page) 
(in English) In a distributed antenna network, a large number of antennas are distributed over a base station coverage area (cell). However, from a practical view point of network construction cost, the actual number of antennas to be distributed is limited. In this case, if the number of active users in the cell exceeds the number of antennas (i.e., an overloaded environment), the communication quality may degrade. In such a case, it may be effective to introduce user scheduling, where active users are divided into several user groups to which the radio resources are assigned in either time or frequency division principle. However, since the optimal user scheduling depends on the antenna deployment layout and user distribution, it will be difficult to find the optimal scheduling pattern if the number of users and that of antennas are large. In this paper, we propose the quantum annealing-based user scheduling. Quantum annealing is specialized in solving combinational optimization problems among quantum computing that has been attracting attention in recent years. We formulate QUBO for user scheduling taking into account the antenna location information. We evaluate the user capacity, the sum capacity, and the fairness among users by computer simulation to show the effectiveness of interference coordination by quantum computing.
Keyword (in Japanese) (See Japanese page) 
(in English) distributed antenna network / overloaded environment / user scheduling / quantum computing / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 302, RCS2021-189, pp. 75-80, Dec. 2021.
Paper # RCS2021-189 
Date of Issue 2021-12-09 (RCS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 RCS2021-189

Conference Information
Committee RCS NS  
Conference Date 2021-12-16 - 2021-12-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Nara-ken Bunka Kaikan and Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Multi-hop/Relay/Cooperation, Disaster-resistant wireless network, Sensor/Mesh network, Ad-hoc network, D2D/M2M, Wireless network coding, Handover/AP switching/Connected cell control/Load balancing among base stations/Mobile network dynamic reconfiguration, QoS/QoE assurance, Wireless VoIP, IoT, Edge computing, etc. 
Paper Information
Registration To RCS 
Conference Code 2021-12-RCS-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on User Scheduling for Overloaded Environment in Distributed Antenna Network Using Quantum Computing 
Sub Title (in English)  
Keyword(1) distributed antenna network  
Keyword(2) overloaded environment  
Keyword(3) user scheduling  
Keyword(4) quantum computing  
1st Author's Name Keishi Hanakago  
1st Author's Affiliation Panasonic System Networks R&D Lab Co., Ltd (PSNRD)
2nd Author's Name Ryo Takahashi  
2nd Author's Affiliation Panasonic System Networks R&D Lab Co., Ltd (PSNRD)
3rd Author's Name Takahiro Ohyama  
3rd Author's Affiliation Panasonic System Networks R&D Lab Co., Ltd (PSNRD)
4th Author's Name Fumiyuki Adachi  
4th Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2021-12-17 11:25:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2021-189 
Volume (vol) vol.121 
Number (no) no.302 
Page pp.75-80 
Date of Issue 2021-12-09 (RCS) 

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