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Paper Abstract and Keywords
Presentation 2026-01-27 12:10
Evaluation of CRU Deployment Schemes Based on Area-Specific Characteristics Using Actual User and Vehicle Distributions in Adaptive C-RAN
Shunusuke Ohfuji, Hideya So (Kogakuin univ), Jin Nakazato, Kazuki Maruta (Tokyo Univ of Science), Yu Nakayama (Tokyo Univ of Agriculture and Technology) IT2025-66 SIP2025-80 RCS2025-237
Abstract (in Japanese) (See Japanese page) 
(in English) To accommodate increasing mobile traffic, centralized radio access networks (C-RAN) using small cells
have been investigated. However, since traffic fluctuates depending on location and time of day, the effectiveness
of fixed-deployment small cells is limited. To overcome this challenge, we have proposed an adaptive network ar
chitecture where crowdsourced radio units (CRUs) mounted on vehicles operate as small cells in response to traffic
demand. This report clarifies the throughput characteristics of the proposed scheme by combining actual user distri
bution and vehicle distribution data from the Nishi-Shinjuku area, Japan. We examine two CRU selection schemes:
uniform placement, which selects CRUs evenly from the vehicle distribution, and concentrated placement, which
selects more CRUs from vehicles in areas with high user concentration. Computer simulation results evaluated
performance in areas with different user and vehicle distributions, and demonstrated that using CRUs selected via
concentrated placement in congested areas improves throughput.
Keyword (in Japanese) (See Japanese page) 
(in English) C-RAN / CRU / Small cell / User distribution / Vehicle distribution / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 334, RCS2025-237, pp. 166-171, Jan. 2026.
Paper # RCS2025-237 
Date of Issue 2026-01-19 (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)
Download PDF IT2025-66 SIP2025-80 RCS2025-237

Conference Information
Committee IT RCS SIP  
Conference Date 2026-01-26 - 2026-01-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Forest Sendai 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Signal Processing for Wireless Communications, Learning, Mathematics, Information Theory, etc. 
Paper Information
Registration To RCS 
Conference Code 2026-01-IT-RCS-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of CRU Deployment Schemes Based on Area-Specific Characteristics Using Actual User and Vehicle Distributions in Adaptive C-RAN 
Sub Title (in English)  
Keyword(1) C-RAN  
Keyword(2) CRU  
Keyword(3) Small cell  
Keyword(4) User distribution  
Keyword(5) Vehicle distribution  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Shunusuke Ohfuji  
1st Author's Affiliation Kogakuin University (Kogakuin univ)
2nd Author's Name Hideya So  
2nd Author's Affiliation Kogakuin University (Kogakuin univ)
3rd Author's Name Jin Nakazato  
3rd Author's Affiliation Tokyo University of Science (Tokyo Univ of Science)
4th Author's Name Kazuki Maruta  
4th Author's Affiliation Tokyo University of Science (Tokyo Univ of Science)
5th Author's Name Yu Nakayama  
5th Author's Affiliation Tokyo University of Agriculture and Technology (Tokyo Univ of Agriculture and Technology)
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Speaker Author-1 
Date Time 2026-01-27 12:10:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # IT2025-66, SIP2025-80, RCS2025-237 
Volume (vol) vol.125 
Number (no) no.332(IT), no.333(SIP), no.334(RCS) 
Page pp.166-171 
#Pages 6 
Date of Issue 2026-01-19 (IT, SIP, RCS) 

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