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Paper Abstract and Keywords
Presentation 2026-04-10 13:25
Hybrid Probabilistic Radio Map Construction via Integration of Ray Tracing and Transformer Inference
Toma Tsuchino (UOsaka), Shoko Shinohara, Toshiro Nakahira, Fukushima Takeru, Asai Yusuke (NTT), Ohira Kenji, Shimonishi Hideyuki (UOsaka) NS2026-16
Abstract (in Japanese) (See Japanese page) 
(in English) Probabilistic radio maps, characterizing received power as a distribution, are essential for reliable mmWave communications. Despite their utility, traditional ray-tracing (RT) is too computationally expensive for dynamic network optimization. We present a hybrid framework combining RT with Transformer-based Mixture of PFNs (MoPFNs) to overcome this barrier.Evaluations confirm that our method accurately reproduces both measured and RT-based signal distributions while drastically accelerating construction time.
Keyword (in Japanese) (See Japanese page) 
(in English) 5G / Millimeter-wave / Probabilistic Radio Environment Map / Transformer / Ray Tracing / / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 2, NS2026-16, pp. 87-92, April 2026.
Paper # NS2026-16 
Date of Issue 2026-04-02 (NS) 
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 NS2026-16

Conference Information
Committee NS  
Conference Date 2026-04-09 - 2026-04-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Yakushima Island Environmental and Cultural Village Center + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Communication traffic theory, Traffic and quality evaluation, Network performance evaluation, QoS/QoE, Reliability and robustness, Traffic and quality management, AI and machine learning, Network and system operation management, High capacity, low latency, many connections, General 
Paper Information
Registration To NS 
Conference Code 2026-04-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Hybrid Probabilistic Radio Map Construction via Integration of Ray Tracing and Transformer Inference 
Sub Title (in English)  
Keyword(1) 5G  
Keyword(2) Millimeter-wave  
Keyword(3) Probabilistic Radio Environment Map  
Keyword(4) Transformer  
Keyword(5) Ray Tracing  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Toma Tsuchino  
1st Author's Affiliation The University of Osaka (UOsaka)
2nd Author's Name Shoko Shinohara  
2nd Author's Affiliation NTT, Inc. (NTT)
3rd Author's Name Toshiro Nakahira  
3rd Author's Affiliation NTT, Inc. (NTT)
4th Author's Name Fukushima Takeru  
4th Author's Affiliation NTT, Inc. (NTT)
5th Author's Name Asai Yusuke  
5th Author's Affiliation NTT, Inc. (NTT)
6th Author's Name Ohira Kenji  
6th Author's Affiliation The University of Osaka (UOsaka)
7th Author's Name Shimonishi Hideyuki  
7th Author's Affiliation The University of Osaka (UOsaka)
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Speaker Author-1 
Date Time 2026-04-10 13:25:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2026-16 
Volume (vol) vol.126 
Number (no) no.2 
Page pp.87-92 
#Pages 6 
Date of Issue 2026-04-02 (NS) 

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