Paper Abstract and Keywords |
Presentation |
2023-03-03 15:35
[Invited Lecture]
Research and Development on Wireless Access Technology Based on Factor Analysis of Communication Quality Using Redundant Information Koji Yamamoto (Kyoto Univ.), Mai Ohta (Fukuoka Univ.), Kazuto Yano (ATR), Takayuki Nishio (Kyoto Univ./Tokyo Tech.), Akihito Taya (Kyoto Univ./Univ. Tokyo), Makoto Taromaru (Fukuoka Univ.), Babatunde Ojetunde, Keiichiro Mori (ATR) SRW2022-66 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In wireless communications, communication quality is observable; in contrast, its degradation factors are generally unobservable. The advancement of machine learning has enabled us to handle vast amounts of information, including transmission periods, which have not been used for transmission control. We call this information enabling factor analysis ``redundancy check information''. This paper presents the implementation of factor analysis using redundancy check information and the development of technology that enhances spectral efficiency based on the analysis results. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Wireless LAN / machine learning / spectrum sharing / sensing / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 401, SRW2022-66, pp. 100-105, March 2023. |
Paper # |
SRW2022-66 |
Date of Issue |
2023-02-22 (SRW) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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SRW2022-66 |
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