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| Presentation | 2017-10-19 15:55 [Invited Lecture] Massive Connect IoT Using QZSS/GPS High Accuracy Time and Position Information Suguru Kameda (Tohoku Univ.), Hiroshi Oguma (NIT, Toyama College), Noriharu Suematsu (Tohoku Univ.)  RCS2017-183 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The next generation information network is expected to further develop as a social infrastructure in all fields such as transportation, electricity, medical care, agriculture, and so on. With developing of the 5th generation mobile communication system (5G) and Internet of things (IoT), the network will go beyond the framework of conventional human-to-human information transmission means, and the subject of the user will change from "human" to "things" and/or "matters". Moreover, we believe that the network will evolve into "Massive Connect IoT", which will improve the intelligence of the network itself and create new value by analyzing big data from a huge number of nodes. In the wireless communication system constituting the Massive Connect IoT, various kinds of data are frequently exchanged among a huge number of nodes. Therefore, high efficiency of access control technologies and scheduling methods are indispensable, in addition to spectral efficiency, which has been regarded as the most important in conventional wireless systems. In this lecture, we describe the design of wireless communication network in Massive Connect IoT utilizing highly accurate time information and location information obtained from positioning signal of global navigation satellite system (GNSS). | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | synchronized spread spectrum code division multiple access (SS-CDMA) / timing synchronization / traffic navigation / map information / load balancing / offloading / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 246, RCS2017-183, pp. 87-87, Oct. 2017. | |
| Paper # | RCS2017-183 | |
| Date of Issue | 2017-10-12 (RCS) | |
| ISSN | Print edition: ISSN 0913-5685 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 | RCS2017-183 |
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| Conference Information | |
| Committee | RCS |
| Conference Date | 2017-10-19 - 2017-10-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tohoku Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Wireless Communication Schemes, Wireless Communication Systems, Wireless Standards, Future Wireless Systems, etc. |
| Paper Information | |
| Registration To | RCS |
| Conference Code | 2017-10-RCS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Massive Connect IoT Using QZSS/GPS High Accuracy Time and Position Information |
| Sub Title (in English) | |
| Keyword(1) | synchronized spread spectrum code division multiple access (SS-CDMA) |
| Keyword(2) | timing synchronization |
| Keyword(3) | traffic navigation |
| Keyword(4) | map information |
| Keyword(5) | load balancing |
| Keyword(6) | offloading |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Suguru Kameda |
| 1st Author's Affiliation | Tohoku University (Tohoku Univ.) |
| 2nd Author's Name | Hiroshi Oguma |
| 2nd Author's Affiliation | National Institute of Technology, Toyama College (NIT, Toyama College) |
| 3rd Author's Name | Noriharu Suematsu |
| 3rd Author's Affiliation | Tohoku University (Tohoku Univ.) |
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| Speaker | Author-1 |
| Date Time | 2017-10-19 15:55:00 |
| Presentation Time | 25 minutes |
| Registration for | RCS |
| Paper # | RCS2017-183 |
| Volume (vol) | vol.117 |
| Number (no) | no.246 |
| Page | p.87 |
| #Pages | 1 |
| Date of Issue | 2017-10-12 (RCS) |
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