| Presentation | 2020-11-20 [Panel Discussion] Data-Driven Radio Propagation Estimation for Spectrum Sharing: Trends and Challenges Koya Sato, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In the field of spectrum sharing, spectrum database has been recognized as a practical enabler for estimating and managing the white spaces over the last decade. Such a database-aided white space estimation was originally based on empirical path loss models; in contrast, with the recent rapid development of deep learning and crowdsourcing, many researchers have actively discussed to combine the spectrum database and learning techniques. This paper summarizes trends and challenges of the data-driven radio propagation estimation for spectrum sharing. Because secondary users must not interfere with the primary users, it is crucial to take the property of the estimation error into account the spectrum sharing design. Based on this background, we discuss technical challenges, caused by measurement/estimation errors, and their countermeasures. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | spectrum sharing / radio propagation / radio map / machine learning / spatial statistics / measurement error |
| Paper # | SR2020-45 |
| Date of Issue | 2020-11-11 (SR) |
| Conference Information | |
| Committee | SR |
|---|---|
| Conference Date | 2020/11/18(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Software Radio, Cognitive Radio, Spectrum Sharing, etc. |
| Chair | Masayuki Ariyoshi(NEC) |
| Vice Chair | Suguru Kameda(Tohoku Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) |
| Secretary | Suguru Kameda(ATR) / Osamu Takyu(Univ. of Electro-Comm.) / Kentaro Ishidu(Mie Univ.) |
| Assistant | Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) / Kentaro Kobayashi(Nagoya Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Smart Radio |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Panel Discussion] Data-Driven Radio Propagation Estimation for Spectrum Sharing: Trends and Challenges |
| Sub Title (in English) | |
| Keyword(1) | spectrum sharing |
| Keyword(2) | radio propagation |
| Keyword(3) | radio map |
| Keyword(4) | machine learning |
| Keyword(5) | spatial statistics |
| Keyword(6) | measurement error |
| 1st Author's Name | Koya Sato |
| 1st Author's Affiliation | Tokyo University of Science(TUS) |
| Date | 2020-11-20 |
| Paper # | SR2020-45 |
| Volume (vol) | vol.120 |
| Number (no) | SR-238 |
| Page | pp.pp.146-151(SR), |
| #Pages | 6 |
| Date of Issue | 2020-11-11 (SR) |