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 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) |
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SR2022-58 |
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) |
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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 |
7 |
Date of Issue |
2022-10-31 (SR) |
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