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Paper Abstract and Keywords
Presentation 2018-03-02 10:25
Wireless Network Optimization Method based on Cognitive Cycle using Machine Learning
Koji Oshima (TUS/KKE), Takumu Kobayashi, Yuki Taenaka, Kaori Kuroda, Mikio Hasegawa (TUS)
Abstract (in Japanese) (See Japanese page) 
(in English) With the spread of mobile communication devices,
the opportunities to use wireless communication technology have been increasing
regardless of the place. However communication qualities decrease due to
competing to use radio resources, interference among nearby devices and so on.
Cognitive radio technologies have been developed recently to conquer such difficulties.
In this paper, we propose a wireless network optimization method using
learning algorithms based on a control model known as cognitive cycle.
We implement the designed optimization method in IEEE 802.11 wireless LANs and
evaluate the throughput performance.
We also evaluate the method in a computer simulation environment.
The experimental results show the effectiveness of the proposed approach.
Keyword (in Japanese) (See Japanese page) 
(in English) Cognitive Radio / Wireless LAN / Machine Learning / Optimization / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 457, SR2017-132, pp. 103-107, Feb. 2018.
Paper # SR2017-132 
Date of Issue 2018-02-21 (SR) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee RCS SR SRW  
Conference Date 2018-02-28 - 2018-03-02 
Place (in Japanese) (See Japanese page) 
Place (in English) YRP 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Communication Workshop 
Paper Information
Registration To SR 
Conference Code 2018-02-RCS-SR-SRW 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Wireless Network Optimization Method based on Cognitive Cycle using Machine Learning 
Sub Title (in English)  
Keyword(1) Cognitive Radio  
Keyword(2) Wireless LAN  
Keyword(3) Machine Learning  
Keyword(4) Optimization  
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1st Author's Name Koji Oshima  
1st Author's Affiliation Tokyo University of Science/Kozo Keikaku Engineering Inc. (TUS/KKE)
2nd Author's Name Takumu Kobayashi  
2nd Author's Affiliation Tokyo University of Science (TUS)
3rd Author's Name Yuki Taenaka  
3rd Author's Affiliation Tokyo University of Science (TUS)
4th Author's Name Kaori Kuroda  
4th Author's Affiliation Tokyo University of Science (TUS)
5th Author's Name Mikio Hasegawa  
5th Author's Affiliation Tokyo University of Science (TUS)
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Speaker
Date Time 2018-03-02 10:25:00 
Presentation Time 25 
Registration for SR 
Paper # IEICE-SR2017-132 
Volume (vol) IEICE-117 
Number (no) no.457 
Page pp.103-107 
#Pages IEICE-5 
Date of Issue IEICE-SR-2018-02-21 


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