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Paper Abstract and Keywords
Presentation 2018-05-25 09:30
A Study on Resource Allocation Utilizing Q-Learning for Video Transmission in Multiple UAS Networks
Saki Tashiro, Yuichi Kawamoto, Hiroki Nishiyama, Nei Kato (Tohoku Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the number of the use of unmanned aircrafts(UAs) has increased remarkably, and the world market size of UAs in 2020 is predicted to exceed 2 trillion yen.
There are various services, for example, facility inspection, land surveillance, and package delivery, because of high mobility of UAs.
Ensuring safety, improving work efficiency, reducing labor costs are realized by UAs.
In some services, it is necessary to be able to watch a video taken by a UA in real-time.
On the other hand, we can use the limited frequency bands.
So, in this research, we consider a communication system that realizes high efficiency real-time video transmission in Multiple UAS Networks.
We use LTE Direct, which is a technology of device-to-device communication for in this communication system.
We propose an algorithm to realize efficient resource allocation.
we consider time-slot allocation method using Q-learning as a proposed algorithm.
By using Q-learning, it is possible to learn more efficient time-slot allocation method by repeating trial and error.
In this reserch, we deal with video data.
Even if such data size changes constantly, it is possible to utilize resouces effectively by learning appropriate communication resource allocation.
Furthermore, we compare this proposed algorithm with other methods and evaluate its effectiveness.
Keyword (in Japanese) (See Japanese page) 
(in English) UAS / D2D / LTE Direct / Q-learning / Video Transmission / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 52, SAT2018-7, pp. 31-36, May 2018.
Paper # SAT2018-7 
Date of Issue 2018-05-17 (SAT) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee SAT WBS  
Conference Date 2018-05-24 - 2018-05-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Kagoshima University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Coding, Modulation, Signal processing and General 
Paper Information
Registration To SAT 
Conference Code 2018-05-SAT-WBS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Resource Allocation Utilizing Q-Learning for Video Transmission in Multiple UAS Networks 
Sub Title (in English)  
Keyword(1) UAS  
Keyword(2) D2D  
Keyword(3) LTE Direct  
Keyword(4) Q-learning  
Keyword(5) Video Transmission  
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1st Author's Name Saki Tashiro  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Yuichi Kawamoto  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Hiroki Nishiyama  
3rd Author's Affiliation Tohoku University (Tohoku Univ.)
4th Author's Name Nei Kato  
4th Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker
Date Time 2018-05-25 09:30:00 
Presentation Time 25 
Registration for SAT 
Paper # IEICE-SAT2018-7 
Volume (vol) IEICE-118 
Number (no) no.52 
Page pp.31-36 
#Pages IEICE-6 
Date of Issue IEICE-SAT-2018-05-17 


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