| 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 / / / |
| Reference Info. |
IEICE Tech. Rep. |
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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) |
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| 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) |
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| Keyword(1) |
IoT |
| Keyword(2) |
LoRa |
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reinforcement learning |
| Keyword(4) |
MAB |
| Keyword(5) |
channel selection |
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| 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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