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| Presentation | 2021-05-28 10:15 Channel Selection Technique of Wide Area Wireless LAN IEEE 802.11ah for IoT Shoko Shinohara, Yasuhiko Inoue, Yusuke Asai, Yasushi Takatori (NTT)  RCS2021-23 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | IEEE 802.11ah (referred to as "11ah") is attracting attention as a new a wireless LAN standard for the IoT. The main feature of 11ah is that it can form a wider area than conventional wireless LANs, while also providing faster data transmission than conventional LPWA (Low Power Wide Area) wireless systems. In Japan. demonstration tests are underway using experimental test stations, and expectations are high for the introduction of this technology to the domestic market. In addition, 11ah is also used in the unlicensed band as conventional wireless LANs, and IP-based communication devices can be connected without modification, making it possible to construct a network at low cost. Because of these features, 11ah is being considered for use in industrial fields that want to efficiently promote digitization in a wide area. For example, it is expected to be applied to monitoring and management tasks in factories, farms, and mountainous areas. In the field of such use cases, the communication path between the AP (Access Point) and the STA (station) tends to have obstructions such as trees, walls, and buildings, and the path length tends to be longer than that of conventional wireless LANs. As a result, a surrounding environment of each of the multiple STAs connected to the AP is different. It makes difficult to optimize wireless resource by the conventional control in which only AP gathers the wireless environment information and performs calculations. On the other hand, since the frequency band available in 920MHz is limited, appropriate control of the channel is important to ensure the communication quality when the number of terminals increases. In this paper, we propose the method in which each STA, rather than an AP, gathers interference information and determine the optimal channel its BSS (Basic Service Set), which is then evaluated by computer simulation. In addition, we show the results of the software implementation from the information collection to the optimal channel setting using the actual device. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | IEEE 802.11ah / wireless LAN / IoT / LPWA / wireless channel / optimization / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 43, RCS2021-23, pp. 41-46, May 2021. | |
| Paper # | RCS2021-23 | |
| Date of Issue | 2021-05-20 (RCS) | |
| 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 | RCS2021-23 |
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| Conference Information | |
| Committee | RCS IN NV |
| Conference Date | 2021-05-27 - 2021-05-28 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Ad-Hoc/Sensor Networks/MANET, Mobile Networks, M2M/IoT Communications, Wi-Fi, IEEE802.15(ZigBee) and others |
| Paper Information | |
| Registration To | RCS |
| Conference Code | 2021-05-RCS-IN-NV |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Channel Selection Technique of Wide Area Wireless LAN IEEE 802.11ah for IoT |
| Sub Title (in English) | |
| Keyword(1) | IEEE 802.11ah |
| Keyword(2) | wireless LAN |
| Keyword(3) | IoT |
| Keyword(4) | LPWA |
| Keyword(5) | wireless channel |
| Keyword(6) | optimization |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Shoko Shinohara |
| 1st Author's Affiliation | NTT (NTT) |
| 2nd Author's Name | Yasuhiko Inoue |
| 2nd Author's Affiliation | NTT (NTT) |
| 3rd Author's Name | Yusuke Asai |
| 3rd Author's Affiliation | NTT (NTT) |
| 4th Author's Name | Yasushi Takatori |
| 4th Author's Affiliation | NTT (NTT) |
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| Speaker | Author-1 |
| Date Time | 2021-05-28 10:15:00 |
| Presentation Time | 25 minutes |
| Registration for | RCS |
| Paper # | RCS2021-23 |
| Volume (vol) | vol.121 |
| Number (no) | no.43 |
| Page | pp.41-46 |
| #Pages | 6 |
| Date of Issue | 2021-05-20 (RCS) |
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