| Presentation | 2022-05-13 Performance Evaluation of Highly Efficient Information Collection Methods by Trend Analysis of Sensor Information Using Pre-learning Ryuji Miyamoto, Osamu Takyu, Hiroshi Fujiwara, Koichi Adachi, Mai Ohta, Takeo Fujii, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | LPWA (Low Power Wide Area), a low-power, long-distance communication method, has been attracting attention. Level Index Modulation (PLIM) has a problem of missing information due to packet collision when multiple sensors select the same index. In this study, we established an optimal design based on a mathematical model that minimizes the probability of packet collision by using a trend analysis of prior sensor information in the index design, which is the correspondence between packet transmission time, selected channel, and transmitted information. In this paper, we proceeded with the characterization by computer simulation and showed that the proposed design method can suppress the packet collision probability better than the conventional method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | PLIM / Mathematical Optimization |
| Paper # | SR2022-14 |
| Date of Issue | 2022-05-04 (SR) |
| Conference Information | |
| Committee | SR |
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| Conference Date | 2022/5/11(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | NICT Koganei |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Software Defined Radio, AI/Machine Learning, Quantum-assisted wireless communications, etc. |
| Chair | Suguru Kameda(Hiroshima Univ.) |
| Vice Chair | Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Kazuto Yano(ATR) |
| Secretary | Osamu Takyu(Mie Univ.) / Kentaro Ishidu(Tokai Univ.) / Kazuto Yano(NTT) |
| Assistant | Mai Ohta(Fukuoka Univ.) / Taichi Ohtsuji(NEC) / WANG Xiaoyan(Ibaraki Univ.) / Akemi Tanaka(MathWorks) |
| Paper Information | |
| Registration To | Technical Committee on Smart Radio |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Performance Evaluation of Highly Efficient Information Collection Methods by Trend Analysis of Sensor Information Using Pre-learning |
| Sub Title (in English) | |
| Keyword(1) | PLIM |
| Keyword(2) | Mathematical Optimization |
| 1st Author's Name | Ryuji Miyamoto |
| 1st Author's Affiliation | Shinshu University(Shinshu Univ.) |
| 2nd Author's Name | Osamu Takyu |
| 2nd Author's Affiliation | Shinshu University(Shinshu Univ.) |
| 3rd Author's Name | Hiroshi Fujiwara |
| 3rd Author's Affiliation | Shinshu University(Shinshu Univ.) |
| 4th Author's Name | Koichi Adachi |
| 4th Author's Affiliation | The University of Electro-Communications(UEC) |
| 5th Author's Name | Mai Ohta |
| 5th Author's Affiliation | Fukuoka University(Fukuoka Univ.) |
| 6th Author's Name | Takeo Fujii |
| 6th Author's Affiliation | The University of Electro-Communications(UEC) |
| Date | 2022-05-13 |
| Paper # | SR2022-14 |
| Volume (vol) | vol.122 |
| Number (no) | SR-12 |
| Page | pp.pp.61-66(SR), |
| #Pages | 6 |
| Date of Issue | 2022-05-04 (SR) |