Paper Abstract and Keywords |
Presentation |
2019-10-17 12:30
[Poster Presentation]
A Study on Efficient Computation of Radio Interference by Clustering Interfering Nodes Ryota Morimoto, Hisato Iwai (Doshisha Univ.), Takuya Kurihara, Satoru Shimizu, Kazuto Yano, Yoshinori Suzuki (ATR) AP2019-82 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In an environment with multiple managed and unmanaged wireless nodes, "Radio environment monitoring technology" is being studied to maximize traffic across the network. It is a technology to grasp and estimate radio noise and radio interference at the required granularity in a timely and efficient manner. In realizing a system using such a technology, when we calculate the interference of each wireless node individually, the calculation load becomes extremely large. So, immediate calculation and control cannot be realized. For one of the efficient computation of the interference, we propose a method clustering multiple neighboring wireless nodes and estimate total interference from the interference power of a representative node. In this report, as an examination of such a method, we analyze the interference assuming a specific environmental model. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Interference control / Reduction of calculation amount / Clustering / Wireless LAN / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 228, AP2019-82, pp. 17-18, Oct. 2019. |
Paper # |
AP2019-82 |
Date of Issue |
2019-10-10 (AP) |
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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AP2019-82 |
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