| Presentation | 2023-07-12 Radio Propagation Graph Representation Learning Katsuya Suto, Shinsuke Bannai, Koya Sato, Takeo Fujii, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In the paper, we propose a novel concept of data-driven radio propagation estimation, referred to as radio propagation graph representation learning. In the concept, radio propagation is represented by a graph, where nodes represent the transmitter, receiver, and obstruction, and edges express the propagation between nodes. Using the model, we can represent a complex radio propagation, including reflection, diffraction, and shielding. Further, we can achieve fast propagation estimation using a shallow feed-forward neural network. Through the simulation using actual datasets in urban areas, we demonstrate that the proposal achieves twenty times faster computation than ray tracing while predicting shadowing well. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Radio propagation graph / Ray tracing / Machine learning / 3D urban model |
| Paper # | SR2023-29 |
| Date of Issue | 2023-07-05 (SR) |
| Conference Information | |
| Committee | SeMI / RCS / RCC / NS / SR |
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| Conference Date | 2023/7/12(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Osaka University Nakanoshima Center + Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Distributed Wireless Network, M2M (Machine-to-Machine)，D2D (Device-to-Device)，IoT（Internet of Things）, etc |
| Chair | Kazuya Monden(Hitachi) / Kenichi Higuchi(Tokyo Univ. of Science) / Shunichi Azuma(Kyoto Univ.) / Tetsuya Oishi(NTT) / Osamu Takyu(Shinshu Univ.) |
| Vice Chair | Yasunori Owada(NICT) / Shunsuke Saruwatari(Osaka Univ.) / Fumihide Kojima(NICT) / Osamu Muta(Kyushu Univ.) / Naoto Ishii(NEC) / Shunichi Azuma(Hokkaido Univ.) / Koji Ishii(Kagawa Univ.) / Takumi Miyoshi(Shibaura Inst. of Tech.) / Kentaro Ishidu(NICT) / Kazuto Yano(ATR) / Shusuke Narieda(Mie Univ.) |
| Secretary | Yasunori Owada(NTT DOCOMO) / Shunsuke Saruwatari(Tokyo Univ. of Agri. and Tech.) / Fumihide Kojima(Univ. of Tokyo) / Osamu Muta(Univ. of Electro-Comm) / Naoto Ishii(Sharp) / Shunichi Azuma(Mitsubishi Electric) / Koji Ishii(CRIEPI) / Takumi Miyoshi(Ritsumeikan Univ.) / Kentaro Ishidu(NTT) / Kazuto Yano(Kogakuin Univ.) / Shusuke Narieda(Tokai Univ.) |
| Assistant | Yuki Matsuda(NAIST) / Taku Suzuki(Hitachi) / Takeshi Hirai(Osaka Univ.) / Masashi Iwabuchi(NTT) / Issei Kanno(KDDI Research) / Yuyuan Chang(Tokyo Inst. of Tech) / Kazuki Maruta(Tokyo Univ. of Science) / Kiichi Tateishi(NTT Docomo) / SHAN LIN(NICT) / Ryosuke Adachi(Yamaguchi Univ.) / Hiroshi Yamamoto(NTT) / Taichi Ohtsuji(NEC) / WANG Xiaoyan(Ibaraki Univ.) / Akemi Tanaka(MathWorks) / Katsuya Suto(Univ. of Electro-Comm) |
| Paper Information | |
| Registration To | Technical Committee on Sensor Network and Mobile Intelligence / Technical Committee on Radio Communication Systems / Technical Committee on Reliable Communication and Control / Technical Committee on Network Systems / 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) | Radio Propagation Graph Representation Learning |
| Sub Title (in English) | |
| Keyword(1) | Radio propagation graph |
| Keyword(2) | Ray tracing |
| Keyword(3) | Machine learning |
| Keyword(4) | 3D urban model |
| 1st Author's Name | Katsuya Suto |
| 1st Author's Affiliation | The University of Electro-Communications(UEC) |
| 2nd Author's Name | Shinsuke Bannai |
| 2nd Author's Affiliation | The University of Electro-Communications(UEC) |
| 3rd Author's Name | Koya Sato |
| 3rd Author's Affiliation | The University of Electro-Communications(UEC) |
| 4th Author's Name | Takeo Fujii |
| 4th Author's Affiliation | The University of Electro-Communications(UEC) |
| Date | 2023-07-12 |
| Paper # | SR2023-29 |
| Volume (vol) | vol.123 |
| Number (no) | SR-109 |
| Page | pp.pp.19-24(SR), |
| #Pages | 6 |
| Date of Issue | 2023-07-05 (SR) |