| Presentation | 2019-01-24 Highly Accurate Estimation of Radio Propagation using Model Classifier Keita Katagiri, Keita Onose, Koya Sato, Kei Inage, Takeo Fujii, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A Measurement-based Spectrum Database (MSD) attracts attention as highly accurate radio environment recognition. In the MSD, radio environment information is gathered by huge numbers of terminals and the gathered datasets are used to generate the Radio Environment Map (REM). However, the MSD stores the statistical information of each receiver mesh, so the registered data size is enormous. In this paper, we propose a method of classifying the propagation model with considering the shadowing fluctuation in a mesh under the fixed transmitter location environment, and unify the model at points where propagation characteristics are similar. We evaluate the proposed method by using the datasets measured at 3.5GHz cellular band. The results show that the proposed method can accurately estimate the radio environment while greatly reducing the registered data size. Furthermore, we study transmission power control using the model classifier. By designing the transmission power that satisfies the desired outage probability for the desired received power, we can confirm that communication efficiency is improved. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Spectrum Database / Classify / Radio Propagation |
| Paper # | SR2018-108 |
| Date of Issue | 2019-01-17 (SR) |
| Conference Information | |
| Committee | SR |
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| Conference Date | 2019/1/24(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Corasse, Fukushima city (Fukushima prefecture) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | cognitive radio, machine learning application, heterogeneous network, SDN, IoT etc. |
| Chair | Kenta Umebayashi(Tokyo Univ. of Agric. and Tech.) |
| Vice Chair | Masayuki Ariyoshi(NEC) / Suguru Kameda(Tohoku Univ.) |
| Secretary | Masayuki Ariyoshi(NICT) / Suguru Kameda(ATR) |
| Assistant | Gia Khanh Tran(Tokyo Inst. of Tech.) / Syusuke Narieda(Mie Univ.) / Koji Ohshima(Kozo Keikaku Engineering) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) |
| 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) | Highly Accurate Estimation of Radio Propagation using Model Classifier |
| Sub Title (in English) | |
| Keyword(1) | Spectrum Database |
| Keyword(2) | Classify |
| Keyword(3) | Radio Propagation |
| 1st Author's Name | Keita Katagiri |
| 1st Author's Affiliation | The University of Electro-Communications(UEC) |
| 2nd Author's Name | Keita Onose |
| 2nd Author's Affiliation | The University of Electro-Communications(UEC) |
| 3rd Author's Name | Koya Sato |
| 3rd Author's Affiliation | Tokyo University of Science(TUS) |
| 4th Author's Name | Kei Inage |
| 4th Author's Affiliation | Tokyo Metropolitan College of Industrial Technology(TMCIT) |
| 5th Author's Name | Takeo Fujii |
| 5th Author's Affiliation | The University of Electro-Communications(UEC) |
| Date | 2019-01-24 |
| Paper # | SR2018-108 |
| Volume (vol) | vol.118 |
| Number (no) | SR-421 |
| Page | pp.pp.79-84(SR), |
| #Pages | 6 |
| Date of Issue | 2019-01-17 (SR) |