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Paper Abstract and Keywords
Presentation 2022-11-08 09:55
Adaptive selection of radio access technology for V2X with radio environment database
Atsuki Mukoda, Takeo Fujii (UEC) SR2022-58
Abstract (in Japanese) (See Japanese page) 
(in English) With the development of automated driving systems, the day when autonomous driving vehicles and non-autonomous driving vehicles drive on the same road is no longer a distant future. In such a mixed traffic environment, it is necessary to realize a safe, secure, and comfortable traffic environment through the coordination of vehicles and traffic infrastructure. V2X communications are one of the fundamental technologies for connected and automated driving systems. However, due to uncertainties in radio propagation characteristics caused by mobility, there is an urgent need for measures to guarantee the reliability of communications.
In this study, we propose V2X communications with a radio environment database, which enables highly accurate estimation of radio propagation using actual observation data, and a multi-RAT scheme, which ensures communication redundancy by combining different radio access technologies (RATs) such as frequency bands and communication methods. In the multi-RAT scheme, the RAT to be used is generally selected based on the instantaneous observation values, which may not properly select the stable RAT when local fluctuations occur. Therefore, by using the radio environment database to estimate the radio environment between the departure and the destination, it is possible to prevent the RAT from switching for realizing stable communication.
Keyword (in Japanese) (See Japanese page) 
(in English) Radio Environment Database / Radio Map / V2X / Connected and Automated Driving / Radio Access Technology / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 243, SR2022-58, pp. 71-77, Nov. 2022.
Paper # SR2022-58 
Date of Issue 2022-10-31 (SR) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee SR  
Conference Date 2022-11-07 - 2022-11-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Fukuoka University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Software Defined Radio, Cognitive Radio, Spectrum Sharing, etc. 
Paper Information
Registration To SR 
Conference Code 2022-11-SR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Adaptive selection of radio access technology for V2X with radio environment database 
Sub Title (in English)  
Keyword(1) Radio Environment Database  
Keyword(2) Radio Map  
Keyword(3) V2X  
Keyword(4) Connected and Automated Driving  
Keyword(5) Radio Access Technology  
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1st Author's Name Atsuki Mukoda  
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 2022-11-08 09:55:00 
Presentation Time 25 minutes 
Registration for SR 
Paper # SR2022-58 
Volume (vol) vol.122 
Number (no) no.243 
Page pp.71-77 
#Pages
Date of Issue 2022-10-31 (SR) 


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