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Paper Abstract and Keywords
Presentation 2026-07-21 13:30
Predictive Traffic Steering Considering Quality-Degradation Risk and QoS Requirements for 5G Sub-6/mmWave Networks
Shuntaro Niimi, Takeo Fujii (UEC) SR2026-27
Abstract (in Japanese) (See Japanese page) 
(in English) In 5G multi-band networks using Sub-6 GHz and millimeter-wave (mmWave) bands, traffic steering must balance reliability and high-capacity transmission.
However, conventional measurement-based switching can respond too late to rapid link-quality degradation caused by vehicle blockage.
Overly conservative control also limits the use of mmWave capacity.
To address this reliability-capacity trade-off, this paper proposes a random-forest-based predictive traffic steering scheme.
It uses a statistical radio environment map (REM) and real-time observations.
The proposed method estimates link-quality degradation probability and future SINR for each candidate cell.
It then uses the probability as a quality-of-service (QoS)-profile-dependent feasibility constraint and selects cells while considering cell load.
This enables service-differentiated control under multi-user resource contention.
The method is evaluated using three-dimensional ray-tracing simulations with dynamic vehicle blockage generated by an urban traffic simulator, parameterized based on commercial 5G blockage measurements.
Compared with a time-to-trigger (TTT)-based conventional controller and an LSTM baseline, the proposed method reduces link-degradation time and delay with only a small reduction in average throughput.
The reduction in link-degradation time is most pronounced for reliability-oriented UEs.
Keyword (in Japanese) (See Japanese page) 
(in English) millimeter wave / AI-RAN / blockage prediction / machine learning / QoS / / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 120, SR2026-27, pp. 44-51, July 2026.
Paper # SR2026-27 
Date of Issue 2026-07-14 (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)
Download PDF SR2026-27

Conference Information
Committee SR RCC  
Conference Date 2026-07-21 - 2026-07-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Yamaguchi 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IoT, Wireless Distributed Networks, Sensor Networks, Control Communications, Network Control, General Topics 
Paper Information
Registration To SR 
Conference Code 2026-07-SR-RCC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Predictive Traffic Steering Considering Quality-Degradation Risk and QoS Requirements for 5G Sub-6/mmWave Networks 
Sub Title (in English)  
Keyword(1) millimeter wave  
Keyword(2) AI-RAN  
Keyword(3) blockage prediction  
Keyword(4) machine learning  
Keyword(5) QoS  
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1st Author's Name Shuntaro Niimi  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Takeo Fujii  
2nd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2026-07-21 13:30:00 
Presentation Time 25 minutes 
Registration for SR 
Paper # SR2026-27 
Volume (vol) vol.126 
Number (no) no.120 
Page pp.44-51 
#Pages 8 
Date of Issue 2026-07-14 (SR) 

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