| Presentation | 2019-06-06 RSSI Prediction of LoRa in Indoor Environment with Support Vector Regression Mai Hirata, Hideya Ochiai, Hiroshi Esaki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this study, we focused on LoRa which is one of the LPWA.We proposed the method to estimate the RSSI from the environment where receiver and transmitter were installed in the indoor. In the second building of the Faculty of Engineering, the University of Tokyo, the RSSI was measured, and the environment at that time was made to be a parameter, and a data set was generated.Using 80% of the data obtained in this experiment as training data and 20% as test data, RSSI was evaluated using SVR. In experiment 1, the prediction was possible with an error within 10 dBm with a linear kernel. In experiment 2, the prediction was possible with the error within 20 dBm with RBF kernel. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | LoRa / wireless / sensor network / Support Vector Regression |
| Paper # | IA2019-1,ICSS2019-1 |
| Date of Issue | 2019-05-30 (IA, ICSS) |
| Conference Information | |
| Committee | IA / ICSS |
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| Conference Date | 2019/6/6(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Research Institute for Electrical Communication, Tohoku University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Internet Security, etc. |
| Chair | Hiroyuki Osaki(Kwansei Gakuin Univ.) / Hiroki Takakura(NII) |
| Vice Chair | Rei Atarashi(IIJ) / Toru Kondo(Hiroshima Univ.) / Hiroshi Yamamoto(Ritsumeikan Univ.) / Katsunari Yoshioka(Yokohama National Univ.) / Kazunori Kamiya(NTT) |
| Secretary | Rei Atarashi(Kwansei Gakuin Univ.) / Toru Kondo(KDDI Research) / Hiroshi Yamamoto(NEC) / Katsunari Yoshioka(NICT) / Kazunori Kamiya(KDDI labs.) |
| Assistant | Kenji Ohira(Tokushima Univ.) / Daiki Nobayashi(Kyushu Inst. of Tech.) / Ryohei Banno(Tokyo Inst. of Tech.) / Keisuke Kito(Mitsubishi Electric) / Toshihiro Yamauchi(Okayama Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Internet Architecture / Technical Committee on Information and Communication System Security |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | RSSI Prediction of LoRa in Indoor Environment with Support Vector Regression |
| Sub Title (in English) | |
| Keyword(1) | LoRa |
| Keyword(2) | wireless |
| Keyword(3) | sensor network |
| Keyword(4) | Support Vector Regression |
| 1st Author's Name | Mai Hirata |
| 1st Author's Affiliation | The University of Tokyo(UTokyo) |
| 2nd Author's Name | Hideya Ochiai |
| 2nd Author's Affiliation | The University of Tokyo(UTokyo) |
| 3rd Author's Name | Hiroshi Esaki |
| 3rd Author's Affiliation | The University of Tokyo(UTokyo) |
| Date | 2019-06-06 |
| Paper # | IA2019-1,ICSS2019-1 |
| Volume (vol) | vol.119 |
| Number (no) | IA-69,ICSS-70 |
| Page | pp.pp.1-6(IA), pp.1-6(ICSS), |
| #Pages | 6 |
| Date of Issue | 2019-05-30 (IA, ICSS) |