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Paper Abstract and Keywords
Presentation 2021-10-29 10:30
[Poster Presentation] Implementation and experimental evaluation of MAB-based channel selection algorithm for LoRa devices
Minoru Fujisawa, Aohan Li, Ikumi Urabe, Ryoma Kitagawa, Yusuke Ito (TUS), Song-Ju Kim (SOBIN Institute LLC), Hiroyuki Yasuda (UTokyo), Mikio Hasegawa (TUS)
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the number of IoT devices has been increasing rapidly, and traffic is also expected to increase. In an environment where a large number of IoT devices are densely installed, collision is a serious problem, and dynamic channel selection methods become important for efficient use of limited frequency resources. LoRa is one of Low-Power-Wide-Area (LPWA) methods, and its channel selection problem can be defined as a MAB problem for reinforcement learning. The MAB-based channel selection algorithm learns by receiving ACK responses, so it does not require synchronization between devices or heavy calculation load and can achieve autonomous distributed channel selection. In this presentation, we implemented an autonomous distributed channel selection algorithm based on TOW dynamics in a LoRa device and conducted experiments in static and dynamic situations in an environment consisting of 30 LoRa nodes and 3 LoRa GWs. In the experiments, we compare and evaluate our algorithm with other algorithms such as $epsilon$-greedy and UCB1-tuned, and the results show that the algorithm based on TOW dynamics has the best performance.
Keyword (in Japanese) (See Japanese page) 
(in English) IoT / LoRa / reinforcement learning / MAB / channel selection / / /  
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Conference Information
Committee MIKA  
Conference Date 2021-10-27 - 2021-10-29 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Wireless Communication Systems, etc. 
Paper Information
Registration To MIKA 
Conference Code 2021-10-MIKA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Implementation and experimental evaluation of MAB-based channel selection algorithm for LoRa devices 
Sub Title (in English)  
Keyword(1) IoT  
Keyword(2) LoRa  
Keyword(3) reinforcement learning  
Keyword(4) MAB  
Keyword(5) channel selection  
1st Author's Name Minoru Fujisawa  
1st Author's Affiliation Tokyo University of Science (TUS)
2nd Author's Name Aohan Li  
2nd Author's Affiliation Tokyo University of Science (TUS)
3rd Author's Name Ikumi Urabe  
3rd Author's Affiliation Tokyo University of Science (TUS)
4th Author's Name Ryoma Kitagawa  
4th Author's Affiliation Tokyo University of Science (TUS)
5th Author's Name Yusuke Ito  
5th Author's Affiliation Tokyo University of Science (TUS)
6th Author's Name Song-Ju Kim  
6th Author's Affiliation SOBIN Institute LLC (SOBIN Institute LLC)
7th Author's Name Hiroyuki Yasuda  
7th Author's Affiliation The University of Tokyo (UTokyo)
8th Author's Name Mikio Hasegawa  
8th Author's Affiliation Tokyo University of Science (TUS)
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Speaker Author-1 
Date Time 2021-10-29 10:30:00 
Presentation Time 60 minutes 
Registration for MIKA 
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