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Paper Abstract and Keywords
Presentation 2026-07-22 10:40
Road-aligned LoS Probability Estimation Formula Based on Urban Geometry Variables and Its Application to Actual Urban Environments
Naruki Ohno, Hisato Iwai, Shinsuke Ibi (Doshisha University) AP2026-43 SANE2026-34 SAT2026-16
Abstract (in Japanese) (See Japanese page) 
(in English) In next-generation mobile communication systems, where the use of higher frequency bands is expected, the estimation of LoS probability is important. The authors have previously proposed a road-aligned LoS probability estimation formula for a uniform grid city. In this formula, the intersection LoS probability spread was obtained empirically. In addition, the urban geometry variables in the formula, such as building-to-building spacing and visible road length, had to be obtained through an exhaustive search over actual urban map data. This resulted in a heavy computational load comparable to that of LoS simulations. To address these issues, this report first reformulates the intersection LoS probability spread geometrically. Next, for the application of the proposed estimation formula to actual urban environments, the building-to-building spacing and visible road length are estimated from the building occupancy ratio and building number density, which can be easily obtained from map information. The LoS probabilities estimated by the proposed method are then compared with those obtained by simulations using actual urban map data. The results confirm that the proposed method can estimate LoS probability for actual urban areas with different urban geometries while reflecting differences in urban geometry.
Keyword (in Japanese) (See Japanese page) 
(in English) LOS probability / LOS probability estimation formula / Urban environment / Mobile communication system / / / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 122, AP2026-43, pp. 11-16, July 2026.
Paper # AP2026-43 
Date of Issue 2026-07-15 (AP, SANE, SAT) 
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 AP2026-43 SANE2026-34 SAT2026-16

Conference Information
Committee SAT AP SANE  
Conference Date 2026-07-22 - 2026-07-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Kobe Port Oasis 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Remote sensing, Sattelite Communication, Radio propagation, Antennas and Propagation 
Paper Information
Registration To AP 
Conference Code 2026-07-SAT-AP-SANE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Road-aligned LoS Probability Estimation Formula Based on Urban Geometry Variables and Its Application to Actual Urban Environments 
Sub Title (in English)  
Keyword(1) LOS probability  
Keyword(2) LOS probability estimation formula  
Keyword(3) Urban environment  
Keyword(4) Mobile communication system  
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1st Author's Name Naruki Ohno  
1st Author's Affiliation Doshisha University (Doshisha University)
2nd Author's Name Hisato Iwai  
2nd Author's Affiliation Doshisha University (Doshisha University)
3rd Author's Name Shinsuke Ibi  
3rd Author's Affiliation Doshisha University (Doshisha University)
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Speaker Author-1 
Date Time 2026-07-22 10:40:00 
Presentation Time 20 minutes 
Registration for AP 
Paper # AP2026-43, SANE2026-34, SAT2026-16 
Volume (vol) vol.126 
Number (no) no.122(AP), no.123(SANE), no.124(SAT) 
Page pp.11-16 
#Pages 6 
Date of Issue 2026-07-15 (AP, SANE, SAT) 

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